================================================================================ Additional file 4 — Full Analysis Run Log and Session Information ================================================================================ PART 1: Full console run log (run_log_main.txt) -------------------------------------------------------------------------------- 运行开始时间: 2026-08-18 17:50:09 原始数据维度: 362 18 列名: Gender, Age, Marriage, Education, WorkYears, Department, Title, EE, DP, PA, SS_Obj, SS_Subj, SS_Util, SS_Total, Tension, OutCtrl, CPSS, ISI 移除NA后样本量: 362 -> 362 样本量 N = 362 节点数 p = 9 ========== 模块2: 描述统计与相关分析 ========== 描述统计已保存 Variable Abbreviation Possible_Range Scoring N 1 Emotional Exhaustion EE 0-30 Sum of item raw scores 362 2 Depersonalization DP 0-24 Sum of item raw scores 362 3 Personal Accomplishment PA 0-36 Sum of item raw scores 362 4 Objective Support SS_Obj 1-22 Sum of item raw scores 362 5 Subjective Support SS_Subj 8-32 Sum of item raw scores 362 6 Support Utilization SS_Util 3-12 Sum of item raw scores 362 7 Tension Tension 7-35 Sum of item raw scores 362 8 Out of Control OutCtrl 7-35 Sum of item raw scores 362 9 Insomnia Severity ISI 0-28 Sum of item raw scores 362 Mean SD Median Min Max Skewness Kurtosis Range_Check 1 9.14 7.35 8 0 30 0.70 -0.13 OK 2 4.65 5.48 3 0 24 1.38 1.35 OK 3 10.70 8.90 9 0 36 0.95 0.33 OK 4 10.36 3.44 10 2 20 0.20 -0.43 OK 5 24.05 5.09 25 8 32 -0.49 -0.38 OK 6 8.15 2.10 8 3 12 0.06 -0.50 OK 7 15.18 4.49 15 7 29 0.53 0.12 OK 8 18.42 6.42 19 7 35 0.13 -0.57 OK 9 4.61 4.65 3 0 25 1.26 1.64 OK null device 1 Spearman相关矩阵已保存 ========== 模块3: GGM网络估计 ========== 加权邻接矩阵: EE DP PA SS_Obj SS_Subj SS_Util Tension OutCtrl ISI EE 0.000 0.549 -0.078 0.000 -0.071 -0.015 0.338 0.102 0.148 DP 0.549 0.000 0.110 -0.017 -0.044 -0.077 0.198 0.083 0.000 PA -0.078 0.110 0.000 -0.033 0.046 -0.096 -0.106 0.536 0.000 SS_Obj 0.000 -0.017 -0.033 0.000 0.276 0.200 -0.021 -0.074 -0.012 SS_Subj -0.071 -0.044 0.046 0.276 0.000 0.247 -0.073 -0.101 -0.044 SS_Util -0.015 -0.077 -0.096 0.200 0.247 0.000 -0.056 -0.048 -0.123 Tension 0.338 0.198 -0.106 -0.021 -0.073 -0.056 0.000 0.029 0.187 OutCtrl 0.102 0.083 0.536 -0.074 -0.101 -0.048 0.029 0.000 0.045 ISI 0.148 0.000 0.000 -0.012 -0.044 -0.123 0.187 0.045 0.000 非零边数: 33 / 36 网络密度: 0.917 --- Gamma敏感性分析 --- gamma=0.25: 33 edges, density=0.917, top3 EI: EE > DP > OutCtrl gamma=0.50: 33 edges, density=0.917, top3 EI: EE > DP > OutCtrl gamma=1.00: 28 edges, density=0.778, top3 EI: EE > DP > Tension Gamma敏感性分析完成 — 核心节点排名在不同gamma下保持一致，证明结论稳健 null device 1 GGM网络图已保存 null device 1 ========== 模块4: 中心性分析 ========== 中心性指标: node Strength Closeness Betweenness ExpectedInfluence 1 EE 1.3007 0.0127 8 0.9727 2 DP 1.0763 0.0122 4 0.8023 3 PA 1.0044 0.0119 6 0.3792 4 SS_Obj 0.6326 0.0096 0 0.3180 5 SS_Subj 0.9018 0.0117 4 0.2355 6 SS_Util 0.8610 0.0123 6 0.0316 7 Tension 1.0075 0.0127 2 0.4972 8 OutCtrl 1.0180 0.0116 4 0.5706 9 ISI 0.5597 0.0117 2 0.2000 null device 1 中心性图已保存（仅Strength + Expected Influence，CS均≥0.5） null device 1 ========== 模块5: 节点预测性R² ========== | | | 0% | |-------- | 11% | |---------------- | 22% | |------------------------ | 33% | |-------------------------------- | 44% | |----------------------------------------- | 56% | |------------------------------------------------- | 67% | |--------------------------------------------------------- | 78% | |----------------------------------------------------------------- | 89% | |-------------------------------------------------------------------------| 100% Note that the sign of parameter estimates is stored separately; see ?mgm 节点预测性R²: Node FullName R2 1 EE Emotional Exhaustion 0.677 2 DP Depersonalization 0.647 3 PA Personal Accomplishment 0.384 4 SS_Obj Objective Support 0.277 5 SS_Subj Subjective Support 0.430 6 SS_Util Support Utilization 0.385 7 Tension Tension 0.526 8 OutCtrl Out of Control 0.501 9 ISI Insomnia Severity 0.261 null device 1 带预测性的网络图已保存 ========== 模块6: 桥中心性分析 ========== 桥中心性: Node FullName Group Bridge_Strength EE EE Emotional Exhaustion Burnout 0.6735 DP DP Depersonalization Burnout 0.4174 PA PA Personal Accomplishment Burnout 0.8169 SS_Obj SS_Obj Objective Support Social Support 0.1573 SS_Subj SS_Subj Subjective Support Social Support 0.3795 SS_Util SS_Util Support Utilization Social Support 0.4147 Tension Tension Tension Occupational Stress 0.9781 OutCtrl OutCtrl Out of Control Occupational Stress 0.9886 ISI ISI Insomnia Severity Insomnia 0.5597 Bridge_Betweenness Bridge_Closeness Bridge_ExpectedInfluence EE 11 0.0481 0.5013 DP 11 0.0483 0.1435 PA 16 0.0567 0.3475 SS_Obj 0 0.0293 -0.1573 SS_Subj 12 0.0328 -0.2868 SS_Util 0 0.0289 -0.4147 Tension 0 0.0496 0.4678 OutCtrl 0 0.0597 0.5412 ISI 0 0.0443 0.2000 NULL null device 1 桥中心性图已保存 ========== 模块7: 贝叶斯网络结构学习 ========== --- 7a. Hill-Climbing BN结构学习 --- HC结构: Bayesian network learned via Score-based methods model: [SS_Obj][SS_Subj|SS_Obj][SS_Util|SS_Obj:SS_Subj][EE|SS_Subj:SS_Util][PA|SS_Util] [OutCtrl|EE:PA:SS_Subj][ISI|EE:SS_Util][Tension|EE:SS_Subj:ISI] [DP|EE:PA:SS_Subj:Tension] nodes: 9 arcs: 18 undirected arcs: 0 directed arcs: 18 average markov blanket size: 4.89 average neighbourhood size: 4.00 average branching factor: 2.00 learning algorithm: Hill-Climbing score: BIC (Gauss.) penalization coefficient: 2.945822 tests used in the learning procedure: 196 optimized: TRUE 弧 (Arcs): from to [1,] "EE" "DP" [2,] "EE" "Tension" [3,] "PA" "OutCtrl" [4,] "SS_Subj" "SS_Util" [5,] "SS_Obj" "SS_Subj" [6,] "EE" "ISI" [7,] "SS_Subj" "EE" [8,] "EE" "OutCtrl" [9,] "SS_Obj" "SS_Util" [10,] "SS_Util" "ISI" [11,] "SS_Util" "PA" [12,] "SS_Util" "EE" [13,] "SS_Subj" "OutCtrl" [14,] "SS_Subj" "DP" [15,] "ISI" "Tension" [16,] "PA" "DP" [17,] "Tension" "DP" [18,] "SS_Subj" "Tension" 弧的数量: 18 --- 7b. Tabu Search BN结构学习 --- Tabu结构: from to [1,] "EE" "DP" [2,] "EE" "Tension" [3,] "PA" "OutCtrl" [4,] "SS_Subj" "SS_Util" [5,] "SS_Obj" "SS_Subj" [6,] "EE" "ISI" [7,] "SS_Subj" "EE" [8,] "EE" "OutCtrl" [9,] "SS_Obj" "SS_Util" [10,] "SS_Util" "ISI" [11,] "SS_Util" "PA" [12,] "SS_Util" "EE" [13,] "SS_Subj" "OutCtrl" [14,] "SS_Subj" "DP" [15,] "ISI" "Tension" [16,] "PA" "DP" [17,] "Tension" "DP" [18,] "SS_Subj" "Tension" 弧的数量: 18 --- 7c. Bootstrap模型平均 (1000次重采样) --- 所有弧的Bootstrap概率: from to strength direction 1 EE DP 1.000 0.5435000 6 EE Tension 1.000 0.6550000 9 DP EE 1.000 0.4565000 23 PA OutCtrl 1.000 0.5045000 28 SS_Obj SS_Subj 1.000 0.2765000 36 SS_Subj SS_Obj 1.000 0.7235000 49 Tension EE 1.000 0.3450000 59 OutCtrl PA 1.000 0.4955000 37 SS_Subj SS_Util 0.999 0.6156156 45 SS_Util SS_Subj 0.999 0.3843844 29 SS_Obj SS_Util 0.984 0.3597561 44 SS_Util SS_Obj 0.984 0.6402439 48 SS_Util ISI 0.882 0.6298186 70 ISI SS_Util 0.882 0.3701814 14 DP Tension 0.830 0.5873494 50 Tension DP 0.830 0.4126506 56 Tension ISI 0.817 0.6432069 71 ISI Tension 0.817 0.3567931 8 EE ISI 0.746 0.7835121 65 ISI EE 0.746 0.2164879 12 DP SS_Subj 0.702 0.5534188 34 SS_Subj DP 0.702 0.4465812 7 EE OutCtrl 0.653 0.8728943 57 OutCtrl EE 0.653 0.1271057 47 SS_Util OutCtrl 0.621 0.5813205 62 OutCtrl SS_Util 0.621 0.4186795 4 EE SS_Subj 0.580 0.5439655 33 SS_Subj EE 0.580 0.4560345 39 SS_Subj OutCtrl 0.527 0.7144213 61 OutCtrl SS_Subj 0.527 0.2855787 22 PA Tension 0.493 0.2981744 51 Tension PA 0.493 0.7018256 15 DP OutCtrl 0.462 0.6937229 58 OutCtrl DP 0.462 0.3062771 38 SS_Subj Tension 0.448 0.5033482 53 Tension SS_Subj 0.448 0.4966518 13 DP SS_Util 0.444 0.5900901 42 SS_Util DP 0.444 0.4099099 46 SS_Util Tension 0.417 0.4484412 54 Tension SS_Util 0.417 0.5515588 10 DP PA 0.351 0.4273504 18 PA DP 0.351 0.5726496 31 SS_Obj OutCtrl 0.313 0.5958466 60 OutCtrl SS_Obj 0.313 0.4041534 21 PA SS_Util 0.307 0.4527687 43 SS_Util PA 0.307 0.5472313 5 EE SS_Util 0.258 0.6143411 41 SS_Util EE 0.258 0.3856589 2 EE PA 0.246 0.7032520 17 PA EE 0.246 0.2967480 19 PA SS_Obj 0.244 0.6311475 27 SS_Obj PA 0.244 0.3688525 32 SS_Obj ISI 0.229 0.5349345 68 ISI SS_Obj 0.229 0.4650655 30 SS_Obj Tension 0.149 0.6006711 52 Tension SS_Obj 0.149 0.3993289 64 OutCtrl ISI 0.141 0.6489362 72 ISI OutCtrl 0.141 0.3510638 16 DP ISI 0.136 0.7757353 66 ISI DP 0.136 0.2242647 11 DP SS_Obj 0.129 0.5581395 26 SS_Obj DP 0.129 0.4418605 24 PA ISI 0.082 0.7743902 67 ISI PA 0.082 0.2256098 55 Tension OutCtrl 0.066 0.7424242 63 OutCtrl Tension 0.066 0.2575758 40 SS_Subj ISI 0.060 0.6333333 69 ISI SS_Subj 0.060 0.3666667 20 PA SS_Subj 0.044 0.2954545 35 SS_Subj PA 0.044 0.7045455 3 EE SS_Obj 0.038 0.6184211 25 SS_Obj EE 0.038 0.3815789 平均网络弧（threshold=0.5）: from to [1,] "EE" "DP" [2,] "EE" "SS_Subj" [3,] "EE" "Tension" [4,] "EE" "OutCtrl" [5,] "EE" "ISI" [6,] "DP" "SS_Subj" [7,] "DP" "Tension" [8,] "PA" "OutCtrl" [9,] "SS_Subj" "SS_Obj" [10,] "SS_Subj" "SS_Util" [11,] "SS_Subj" "OutCtrl" [12,] "SS_Util" "SS_Obj" [13,] "SS_Util" "OutCtrl" [14,] "SS_Util" "ISI" [15,] "Tension" "ISI" 平均网络弧数: 15 严格平均网络弧（threshold=0.85）: from to [1,] "EE" "DP" [2,] "EE" "Tension" [3,] "PA" "OutCtrl" [4,] "SS_Subj" "SS_Obj" [5,] "SS_Subj" "SS_Util" [6,] "SS_Util" "SS_Obj" [7,] "SS_Util" "ISI" null device 1 贝叶斯网络图已保存 null device 1 --- 7f. HC vs Tabu 一致性 --- 共同弧: 18 仅HC: 0 仅Tabu: 0 共同弧: EE -> DP; EE -> Tension; PA -> OutCtrl; SS_Subj -> SS_Util; SS_Obj -> SS_Subj; EE -> ISI; SS_Subj -> EE; EE -> OutCtrl; SS_Obj -> SS_Util; SS_Util -> ISI; SS_Util -> PA; SS_Util -> EE; SS_Subj -> OutCtrl; SS_Subj -> DP; ISI -> Tension; PA -> DP; Tension -> DP; SS_Subj -> Tension ========== 模块8: 网络连通性传播指标 ========== 提醒 本模块是网络参数的代数汇总 不是干预模拟 不可作因果解释 一步连通性: Node FullName Group Sum_positive_weights 1 EE Emotional Exhaustion Burnout 1.1367 2 DP Depersonalization Burnout 0.9393 8 OutCtrl Out of Control Occupational Stress 0.7943 7 Tension Tension Occupational Stress 0.7523 3 PA Personal Accomplishment Burnout 0.6918 5 SS_Subj Subjective Support Social Support 0.5687 6 SS_Util Support Utilization Social Support 0.4463 4 SS_Obj Objective Support Social Support 0.4753 9 ISI Insomnia Severity Insomnia 0.3798 Sum_negative_weights Net_Effect Abs_Total_Effect 1 -0.1640 0.9727 1.3007 2 -0.1370 0.8023 1.0763 8 -0.2237 0.5706 1.0180 7 -0.2551 0.4972 1.0075 3 -0.3126 0.3792 1.0044 5 -0.3332 0.2355 0.9018 6 -0.4147 0.0316 0.8610 4 -0.1573 0.3180 0.6326 9 -0.1799 0.2000 0.5597 --- 二步间接效应 --- 二步传播效应: Node FullName Two_Step_Abs_Total Two_Step_Net 2 DP Depersonalization 0.7012 0.3356 1 EE Emotional Exhaustion 0.6149 0.1900 7 Tension Tension 0.5877 0.2667 5 SS_Subj Subjective Support 0.5124 -0.2575 6 SS_Util Support Utilization 0.5034 -0.2073 9 ISI Insomnia Severity 0.4374 0.1680 4 SS_Obj Objective Support 0.4068 -0.1332 8 OutCtrl Out of Control 0.3908 0.0177 3 PA Personal Accomplishment 0.2543 -0.0661 综合干预效应排名: Node FullName Group One_Step_Effect 1 EE Emotional Exhaustion Burnout 1.3007 2 DP Depersonalization Burnout 1.0763 7 Tension Tension Occupational Stress 1.0075 5 SS_Subj Subjective Support Social Support 0.9018 8 OutCtrl Out of Control Occupational Stress 1.0180 6 SS_Util Support Utilization Social Support 0.8610 3 PA Personal Accomplishment Burnout 1.0044 4 SS_Obj Objective Support Social Support 0.6326 9 ISI Insomnia Severity Insomnia 0.5597 Two_Step_Effect Combined_Effect 1 0.6149 1.9156 2 0.7012 1.7775 7 0.5877 1.5952 5 0.5124 1.4142 8 0.3908 1.4088 6 0.5034 1.3644 3 0.2543 1.2587 4 0.4068 1.0394 9 0.4374 0.9971 null device 1 null device 1 干预模拟图已保存 ========== 模块9: GGM与BN比较 ========== null device 1 GGM vs BN比较图已保存 ========== 模块10: Bootstrap稳定性分析 ========== 开始非参数bootstrap（边权重CI）... | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2% | |== | 3% | |=== | 4% | |=== | 5% | |==== | 5% | |==== | 6% | |===== | 6% | |===== | 7% | |===== | 8% | |====== | 8% | |====== | 9% | |======= | 9% | |======= | 10% | |======== | 10% | |======== | 11% | |======== | 12% | |========= | 12% | |========= | 13% | |========== | 13% | |========== | 14% | |=========== | 14% | |=========== | 15% | |=========== | 16% | |============ | 16% | |============ | 17% | |============= | 17% | |============= | 18% | |============== | 18% | |============== | 19% | |============== | 20% | |=============== | 20% | |=============== | 21% | |================ | 21% | |================ | 22% | |================ | 23% | |================= | 23% | |================= | 24% | |================== | 24% | |================== | 25% | |=================== | 25% | |=================== | 26% | |=================== | 27% | |==================== | 27% | |==================== | 28% | |===================== | 28% | |===================== | 29% | |====================== | 30% | |====================== | 31% | |======================= | 31% | |======================= | 32% | |======================== | 32% | |======================== | 33% | |======================== | 34% | |========================= | 34% | |========================= | 35% | |========================== | 35% | |========================== | 36% | |=========================== | 36% | |=========================== | 37% | |=========================== | 38% | |============================ | 38% | |============================ | 39% | |============================= | 39% | |============================= | 40% | |============================== | 40% | |============================== | 41% | |============================== | 42% | |=============================== | 42% | |=============================== | 43% | |================================ | 43% | |================================ | 44% | |================================= | 45% | |================================= | 46% | |================================== | 46% | |================================== | 47% | |=================================== | 47% | |=================================== | 48% | |=================================== | 49% | |==================================== | 49% | |==================================== | 50% | |===================================== | 50% | |===================================== | 51% | |====================================== | 51% | |====================================== | 52% | |====================================== | 53% | |======================================= | 53% | |======================================= | 54% | |======================================== | 54% | |======================================== | 55% | |========================================= | 56% | |========================================= | 57% | |========================================== | 57% | |========================================== | 58% | |=========================================== | 58% | |=========================================== | 59% | |=========================================== | 60% | |============================================ | 60% | |============================================ | 61% | |============================================= | 61% | |============================================= | 62% | |============================================== | 62% | |============================================== | 63% | |============================================== | 64% | |=============================================== | 64% | |=============================================== | 65% | |================================================ | 65% | |================================================ | 66% | |================================================= | 66% | |================================================= | 67% | |================================================= | 68% | |================================================== | 68% | |================================================== | 69% | |=================================================== | 69% | |=================================================== | 70% | |==================================================== | 71% | |==================================================== | 72% | |===================================================== | 72% | |===================================================== | 73% | |====================================================== | 73% | |====================================================== | 74% | |====================================================== | 75% | |======================================================= | 75% | |======================================================= | 76% | |======================================================== | 76% | |======================================================== | 77% | |========================================================= | 77% | |========================================================= | 78% | |========================================================= | 79% | |========================================================== | 79% | |========================================================== | 80% | |=========================================================== | 80% | |=========================================================== | 81% | |=========================================================== | 82% | |============================================================ | 82% | |============================================================ | 83% | |============================================================= | 83% | |============================================================= | 84% | |============================================================== | 84% | |============================================================== | 85% | |============================================================== | 86% | |=============================================================== | 86% | |=============================================================== | 87% | |================================================================ | 87% | |================================================================ | 88% | |================================================================= | 88% | |================================================================= | 89% | |================================================================= | 90% | |================================================================== | 90% | |================================================================== | 91% | |=================================================================== | 91% | |=================================================================== | 92% | |==================================================================== | 92% | |==================================================================== | 93% | |==================================================================== | 94% | |===================================================================== | 94% | |===================================================================== | 95% | |====================================================================== | 95% | |====================================================================== | 96% | |======================================================================= | 97% | |======================================================================= | 98% | |======================================================================== | 98% | |======================================================================== | 99% | |=========================================================================| 99% | |=========================================================================| 100% | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2% | |== | 3% | |=== | 4% | |=== | 5% | |==== | 5% | |==== | 6% | |===== | 6% | |===== | 7% | |===== | 8% | |====== | 8% | |====== | 9% | |======= | 9% | |======= | 10% | |======== | 10% | |======== | 11% | |======== | 12% | |========= | 12% | |========= | 13% | |========== | 13% | |========== | 14% | |=========== | 14% | |=========== | 15% | |=========== | 16% | |============ | 16% | |============ | 17% | |============= | 17% | |============= | 18% | |============== | 18% | |============== | 19% | |============== | 20% | |=============== | 20% | |=============== | 21% | |================ | 21% | |================ | 22% | |================ | 23% | |================= | 23% | |================= | 24% | |================== | 24% | |================== | 25% | |=================== | 25% | |=================== | 26% | |=================== | 27% | |==================== | 27% | |==================== | 28% | |===================== | 28% | |===================== | 29% | |====================== | 30% | |====================== | 31% | |======================= | 31% | |======================= | 32% | |======================== | 32% | |======================== | 33% | |======================== | 34% | |========================= | 34% | |========================= | 35% | |========================== | 35% | |========================== | 36% | |=========================== | 36% | |=========================== | 37% | |=========================== | 38% | |============================ | 38% | |============================ | 39% | |============================= | 39% | |============================= | 40% | |============================== | 40% | |============================== | 41% | |============================== | 42% | |=============================== | 42% | |=============================== | 43% | |================================ | 43% | |================================ | 44% | |================================= | 45% | |================================= | 46% | |================================== | 46% | |================================== | 47% | |=================================== | 47% | |=================================== | 48% | |=================================== | 49% | |==================================== | 49% | |==================================== | 50% | |===================================== | 50% | |===================================== | 51% | |====================================== | 51% | |====================================== | 52% | |====================================== | 53% | |======================================= | 53% | |======================================= | 54% | |======================================== | 54% | |======================================== | 55% | |========================================= | 56% | |========================================= | 57% | |========================================== | 57% | |========================================== | 58% | |=========================================== | 58% | |=========================================== | 59% | |=========================================== | 60% | |============================================ | 60% | |============================================ | 61% | |============================================= | 61% | |============================================= | 62% | |============================================== | 62% | |============================================== | 63% | |============================================== | 64% | |=============================================== | 64% | |=============================================== | 65% | |================================================ | 65% | |================================================ | 66% | |================================================= | 66% | |================================================= | 67% | |================================================= | 68% | |================================================== | 68% | |================================================== | 69% | |=================================================== | 69% | |=================================================== | 70% | |==================================================== | 71% | |==================================================== | 72% | |===================================================== | 72% | |===================================================== | 73% | |====================================================== | 73% | |====================================================== | 74% | |====================================================== | 75% | |======================================================= | 75% | |======================================================= | 76% | |======================================================== | 76% | |======================================================== | 77% | |========================================================= | 77% | |========================================================= | 78% | |========================================================= | 79% | |========================================================== | 79% | |========================================================== | 80% | |=========================================================== | 80% | |=========================================================== | 81% | |=========================================================== | 82% | |============================================================ | 82% | |============================================================ | 83% | |============================================================= | 83% | |============================================================= | 84% | |============================================================== | 84% | |============================================================== | 85% | |============================================================== | 86% | |=============================================================== | 86% | |=============================================================== | 87% | |================================================================ | 87% | |================================================================ | 88% | |================================================================= | 88% | |================================================================= | 89% | |================================================================= | 90% | |================================================================== | 90% | |================================================================== | 91% | |=================================================================== | 91% | |=================================================================== | 92% | |==================================================================== | 92% | |==================================================================== | 93% | |==================================================================== | 94% | |===================================================================== | 94% | |===================================================================== | 95% | |====================================================================== | 95% | |====================================================================== | 96% | |======================================================================= | 97% | |======================================================================= | 98% | |======================================================================== | 98% | |======================================================================== | 99% | |=========================================================================| 99% | |=========================================================================| 100% null device 1 开始case-dropping bootstrap（中心性稳定性）... | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2% | |== | 3% | |=== | 4% | |=== | 5% | |==== | 5% | |==== | 6% | |===== | 6% | |===== | 7% | |===== | 8% | |====== | 8% | |====== | 9% | |======= | 9% | |======= | 10% | |======== | 10% | |======== | 11% | |======== | 12% | |========= | 12% | |========= | 13% | |========== | 13% | |========== | 14% | |=========== | 14% | |=========== | 15% | |=========== | 16% | |============ | 16% | |============ | 17% | |============= | 17% | |============= | 18% | |============== | 18% | |============== | 19% | |============== | 20% | |=============== | 20% | |=============== | 21% | |================ | 21% | |================ | 22% | |================ | 23% | |================= | 23% | |================= | 24% | |================== | 24% | |================== | 25% | |=================== | 25% | |=================== | 26% | |=================== | 27% | |==================== | 27% | |==================== | 28% | |===================== | 28% | |===================== | 29% | |====================== | 30% | |====================== | 31% | |======================= | 31% | |======================= | 32% | |======================== | 32% | |======================== | 33% | |======================== | 34% | |========================= | 34% | |========================= | 35% | |========================== | 35% | |========================== | 36% | |=========================== | 36% | |=========================== | 37% | |=========================== | 38% | |============================ | 38% | |============================ | 39% | |============================= | 39% | |============================= | 40% | |============================== | 40% | |============================== | 41% | |============================== | 42% | |=============================== | 42% | |=============================== | 43% | |================================ | 43% | |================================ | 44% | |================================= | 45% | |================================= | 46% | |================================== | 46% | |================================== | 47% | |=================================== | 47% | |=================================== | 48% | |=================================== | 49% | |==================================== | 49% | |==================================== | 50% | |===================================== | 50% | |===================================== | 51% | |====================================== | 51% | |====================================== | 52% | |====================================== | 53% | |======================================= | 53% | |======================================= | 54% | |======================================== | 54% | |======================================== | 55% | |========================================= | 56% | |========================================= | 57% | |========================================== | 57% | |========================================== | 58% | |=========================================== | 58% | |=========================================== | 59% | |=========================================== | 60% | |============================================ | 60% | |============================================ | 61% | |============================================= | 61% | |============================================= | 62% | |============================================== | 62% | |============================================== | 63% | |============================================== | 64% | |=============================================== | 64% | |=============================================== | 65% | |================================================ | 65% | |================================================ | 66% | |================================================= | 66% | |================================================= | 67% | |================================================= | 68% | |================================================== | 68% | |================================================== | 69% | |=================================================== | 69% | |=================================================== | 70% | |==================================================== | 71% | |==================================================== | 72% | |===================================================== | 72% | |===================================================== | 73% | |====================================================== | 73% | |====================================================== | 74% | |====================================================== | 75% | |======================================================= | 75% | |======================================================= | 76% | |======================================================== | 76% | |======================================================== | 77% | |========================================================= | 77% | |========================================================= | 78% | |========================================================= | 79% | |========================================================== | 79% | |========================================================== | 80% | |=========================================================== | 80% | |=========================================================== | 81% | |=========================================================== | 82% | |============================================================ | 82% | |============================================================ | 83% | |============================================================= | 83% | |============================================================= | 84% | |============================================================== | 84% | |============================================================== | 85% | |============================================================== | 86% | |=============================================================== | 86% | |=============================================================== | 87% | |================================================================ | 87% | |================================================================ | 88% | |================================================================= | 88% | |================================================================= | 89% | |================================================================= | 90% | |================================================================== | 90% | |================================================================== | 91% | |=================================================================== | 91% | |=================================================================== | 92% | |==================================================================== | 92% | |==================================================================== | 93% | |==================================================================== | 94% | |===================================================================== | 94% | |===================================================================== | 95% | |====================================================================== | 95% | |====================================================================== | 96% | |======================================================================= | 97% | |======================================================================= | 98% | |======================================================================== | 98% | |======================================================================== | 99% | |=========================================================================| 99% | |=========================================================================| 100% | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2% | |== | 3% | |=== | 4% | |=== | 5% | |==== | 5% | |==== | 6% | |===== | 6% | |===== | 7% | |===== | 8% | |====== | 8% | |====== | 9% | |======= | 9% | |======= | 10% | |======== | 10% | |======== | 11% | |======== | 12% | |========= | 12% | |========= | 13% | |========== | 13% | |========== | 14% | |=========== | 14% | |=========== | 15% | |=========== | 16% | |============ | 16% | |============ | 17% | |============= | 17% | |============= | 18% | |============== | 18% | |============== | 19% | |============== | 20% | |=============== | 20% | |=============== | 21% | |================ | 21% | |================ | 22% | |================ | 23% | |================= | 23% | |================= | 24% | |================== | 24% | |================== | 25% | |=================== | 25% | |=================== | 26% | |=================== | 27% | |==================== | 27% | |==================== | 28% | |===================== | 28% | |===================== | 29% | |====================== | 30% | |====================== | 31% | |======================= | 31% | |======================= | 32% | |======================== | 32% | |======================== | 33% | |======================== | 34% | |========================= | 34% | |========================= | 35% | |========================== | 35% | |========================== | 36% | |=========================== | 36% | |=========================== | 37% | |=========================== | 38% | |============================ | 38% | |============================ | 39% | |============================= | 39% | |============================= | 40% | |============================== | 40% | |============================== | 41% | |============================== | 42% | |=============================== | 42% | |=============================== | 43% | |================================ | 43% | |================================ | 44% | |================================= | 45% | |================================= | 46% | |================================== | 46% | |================================== | 47% | |=================================== | 47% | |=================================== | 48% | |=================================== | 49% | |==================================== | 49% | |==================================== | 50% | |===================================== | 50% | |===================================== | 51% | |====================================== | 51% | |====================================== | 52% | |====================================== | 53% | |======================================= | 53% | |======================================= | 54% | |======================================== | 54% | |======================================== | 55% | |========================================= | 56% | |========================================= | 57% | |========================================== | 57% | |========================================== | 58% | |=========================================== | 58% | |=========================================== | 59% | |=========================================== | 60% | |============================================ | 60% | |============================================ | 61% | |============================================= | 61% | |============================================= | 62% | |============================================== | 62% | |============================================== | 63% | |============================================== | 64% | |=============================================== | 64% | |=============================================== | 65% | |================================================ | 65% | |================================================ | 66% | |================================================= | 66% | |================================================= | 67% | |================================================= | 68% | |================================================== | 68% | |================================================== | 69% | |=================================================== | 69% | |=================================================== | 70% | |==================================================== | 71% | |==================================================== | 72% | |===================================================== | 72% | |===================================================== | 73% | |====================================================== | 73% | |====================================================== | 74% | |====================================================== | 75% | |======================================================= | 75% | |======================================================= | 76% | |======================================================== | 76% | |======================================================== | 77% | |========================================================= | 77% | |========================================================= | 78% | |========================================================= | 79% | |========================================================== | 79% | |========================================================== | 80% | |=========================================================== | 80% | |=========================================================== | 81% | |=========================================================== | 82% | |============================================================ | 82% | |============================================================ | 83% | |============================================================= | 83% | |============================================================= | 84% | |============================================================== | 84% | |============================================================== | 85% | |============================================================== | 86% | |=============================================================== | 86% | |=============================================================== | 87% | |================================================================ | 87% | |================================================================ | 88% | |================================================================= | 88% | |================================================================= | 89% | |================================================================= | 90% | |================================================================== | 90% | |================================================================== | 91% | |=================================================================== | 91% | |=================================================================== | 92% | |==================================================================== | 92% | |==================================================================== | 93% | |==================================================================== | 94% | |===================================================================== | 94% | |===================================================================== | 95% | |====================================================================== | 95% | |====================================================================== | 96% | |======================================================================= | 97% | |======================================================================= | 98% | |======================================================================== | 98% | |======================================================================== | 99% | |=========================================================================| 99% | |=========================================================================| 100% === Correlation Stability Analysis === Sampling levels tested: nPerson Drop% n 1 90 75.1 107 2 119 67.1 111 3 147 59.4 103 4 175 51.7 85 5 203 43.9 94 6 231 36.2 98 7 259 28.5 107 8 288 20.4 100 9 316 12.7 101 10 344 5.0 94 Maximum drop proportions to retain correlation of 0.7 in at least 95% of the samples: betweenness: 0 - For more accuracy, run bootnet(..., caseMin = 0, caseMax = 0.05) closeness: 0 - For more accuracy, run bootnet(..., caseMin = 0, caseMax = 0.05) expectedInfluence: 0.751 (CS-coefficient is highest level tested) - For more accuracy, run bootnet(..., caseMin = 0.671, caseMax = 1) strength: 0.517 - For more accuracy, run bootnet(..., caseMin = 0.439, caseMax = 0.594) Accuracy can also be increased by increasing both 'nBoots' and 'caseN'. CS-Coefficient (稳定性系数): betweenness closeness expectedInfluence strength 0.0000000 0.0000000 0.7513812 0.5165746 null device 1 null device 1 CS系数: Measure CS_Coefficient 1 betweenness 0.000 2 closeness 0.000 3 expectedInfluence 0.751 4 strength 0.517 推荐: CS ≥ 0.25 可解释, CS ≥ 0.5 为佳 ========== 模块11: 边差异与中心性差异检验 ========== null device 1 null device 1 null device 1 差异检验图已保存 ========== 模块12: 全局网络指标 ========== 全局网络指标: Metric Value 1 Number of nodes 9.0000 2 Number of edges 33.0000 3 Network density 0.9167 4 Global strength (sum of |w|) 4.1810 5 Mean absolute edge weight 0.1267 6 SD of absolute edge weight 0.1329 7 Max absolute edge weight 0.5493 8 Clustering coefficient (global, unweighted) 0.9100 9 Average shortest path length (unweighted) 1.0833 10 Average shortest path length (1/|w| as distance) 10.6262 11 Mean clustering of 1000 random graphs 0.9114 12 Mean path length of 1000 random graphs 1.0833 13 Small-worldness index (sigma) 0.9984 说明 密度已达 0.917 接近完全图 路径长与小世界指数无实质信息 正文不宜展开解释 ========== 模块13: JD-R理论分组网络图 ========== null device 1 JD-R分组网络图已保存 ========== 模块14: 最强边汇总 ========== 所有非零边（按绝对权重排序）: Node1 Node2 Weight AbsWeight Type CrossGroup 1 EE DP 0.5493 0.5493 Positive Within 18 PA OutCtrl 0.5359 0.5359 Positive Between 5 EE Tension 0.3380 0.3380 Positive Between 19 SS_Obj SS_Subj 0.2756 0.2756 Positive Within 24 SS_Subj SS_Util 0.2467 0.2467 Positive Within 20 SS_Obj SS_Util 0.1996 0.1996 Positive Within 12 DP Tension 0.1977 0.1977 Positive Between 32 Tension ISI 0.1872 0.1872 Positive Between 7 EE ISI 0.1479 0.1479 Positive Between 30 SS_Util ISI -0.1232 0.1232 Negative Between 8 DP PA 0.1096 0.1096 Positive Within 17 PA Tension -0.1057 0.1057 Negative Between 6 EE OutCtrl 0.1016 0.1016 Positive Between 26 SS_Subj OutCtrl -0.1011 0.1011 Negative Between 16 PA SS_Util -0.0961 0.0961 Negative Between 13 DP OutCtrl 0.0827 0.0827 Positive Between 2 EE PA -0.0779 0.0779 Negative Within 11 DP SS_Util -0.0767 0.0767 Negative Between 22 SS_Obj OutCtrl -0.0743 0.0743 Negative Between 25 SS_Subj Tension -0.0726 0.0726 Negative Between 3 EE SS_Subj -0.0713 0.0713 Negative Between 28 SS_Util Tension -0.0556 0.0556 Negative Between 29 SS_Util OutCtrl -0.0483 0.0483 Negative Between 15 PA SS_Subj 0.0463 0.0463 Positive Between 33 OutCtrl ISI 0.0447 0.0447 Positive Between 27 SS_Subj ISI -0.0444 0.0444 Negative Between 10 DP SS_Subj -0.0438 0.0438 Negative Between 14 PA SS_Obj -0.0329 0.0329 Negative Between 31 Tension OutCtrl 0.0294 0.0294 Positive Within 21 SS_Obj Tension -0.0213 0.0213 Negative Between 9 DP SS_Obj -0.0165 0.0165 Negative Between 4 EE SS_Util -0.0148 0.0148 Negative Between 23 SS_Obj ISI -0.0123 0.0123 Negative Between ################################################################ 返修模块开始 ################################################################ -------- R1m3 + R1m5 报告量定义表 -------- Quantity 1 Edge weight 2 Strength centrality 3 Expected influence 4 One-step propagation (formerly 'one-step direct effect') 5 Two-step propagation 6 Node predictability R2 7 Bridge strength / bridge expected influence 8 Arc strength (BN) 9 Arc direction (BN) 10 do(X = -1 SD) effect Reported_in 1 Fig 1, Table 13 (edge list), Methods 'Network estimation' 2 Table 2, Fig 2 3 Table 2, Fig 2 4 Table 4 (renamed), Fig 4 5 Table 4 (renamed), Fig 4 6 Table 2, Fig 3 7 Table 4 old numbering / bridge table, Fig 4b 8 Table 3, Fig 3 (BN) 9 Table 3 (BN) 10 Revision Table R07 -------- R1m2 + R1m4 计分与量程核对 -------- Abbreviation Variable Scoring Possible_Range Min 1 EE Emotional Exhaustion Sum of item raw scores 0-30 0 2 DP Depersonalization Sum of item raw scores 0-24 0 3 PA Personal Accomplishment Sum of item raw scores 0-36 0 4 SS_Obj Objective Support Sum of item raw scores 1-22 2 5 SS_Subj Subjective Support Sum of item raw scores 8-32 8 6 SS_Util Support Utilization Sum of item raw scores 3-12 3 7 Tension Tension Sum of item raw scores 7-35 7 8 OutCtrl Out of Control Sum of item raw scores 7-35 7 9 ISI Insomnia Severity Sum of item raw scores 0-28 0 Max Skewness Kurtosis Range_Check 1 30 0.70 -0.13 OK 2 24 1.38 1.35 OK 3 36 0.95 0.33 OK 4 20 0.20 -0.43 OK 5 32 -0.49 -0.38 OK 6 12 0.06 -0.50 OK 7 29 0.53 0.12 OK 8 35 0.13 -0.57 OK 9 25 1.26 1.64 OK CPSS 提醒 正文 Measures 现写 5-point Likert (0 = never to 4) 按此 Tension 与 OutCtrl 量程应为 0-28 但本数据两个分量表的观测最大值为 29 与 35 说明条目实际按 1-5 计分 分量表量程为 7-35 返修时必须先改正文的计分描述 再补量程列 否则两处自相矛盾 -------- R1m2b PA 计分方向自检 -------- Metric 1 Spearman r PA vs EE 2 Spearman r PA vs DP 3 Spearman r PA vs SS_Obj 4 Spearman r PA vs SS_Subj 5 Spearman r PA vs SS_Util 6 Spearman r PA vs Tension 7 Spearman r PA vs OutCtrl 8 Spearman r PA vs ISI 9 Mean Spearman r with EE and DP 10 Mean Spearman r with the three social support nodes 11 Observed mean of PA 12 Midpoint of the nominal 0-36 range 13 Verdict Value 1 0.191 2 0.296 3 -0.231 4 -0.187 5 -0.291 6 0.116 7 0.608 8 0.144 9 0.244 10 -0.236 11 10.7 12 18 13 The PA column already runs in the burnout direction (higher score = reduced personal accomplishment). Describe it in Measures as recorded in the reduced-accomplishment direction with no further reversal applied when the sum is formed. PA 提醒 The PA column already runs in the burnout direction (higher score = reduced personal accomplishment). Describe it in Measures as recorded in the reduced-accomplishment direction with no further reversal applied when the sum is formed. 定稿前必须把四处对齐 数据文件 Codebook 正文 Measures Table 2 注释 回信 Minor 2 回信 Minor 2 现在写的是 all nine nodes are observed sum scores of item raw scores 若 PA 实际是 36 减去条目原始和 这句话要相应改写 否则与随稿数据对不上 -------- R1M1c + R2Q5 正态性与正态化后重估 -------- Node FullName W p Skewness Kurtosis Normal_at_.05 1 EE Emotional Exhaustion 0.9350 1.78e-11 0.70 -0.13 no 2 DP Depersonalization 0.8163 5.37e-20 1.38 1.35 no 3 PA Personal Accomplishment 0.9128 1.28e-13 0.95 0.33 no 4 SS_Obj Objective Support 0.9848 7.59e-04 0.20 -0.43 no 5 SS_Subj Subjective Support 0.9655 1.51e-07 -0.49 -0.38 no 6 SS_Util Support Utilization 0.9635 7.52e-08 0.06 -0.50 no 7 Tension Tension 0.9719 1.80e-06 0.53 0.12 no 8 OutCtrl Out of Control 0.9807 9.22e-05 0.13 -0.57 no 9 ISI Insomnia Severity 0.8674 4.83e-17 1.26 1.64 no Test Statistic p 1 Mardia multivariate skewness 11.407 4.88e-65 2 Mardia multivariate kurtosis 114.369 0.00e+00 变换方式: nonparanormal (huge, shrinkage) Node W_before p_before W_after p_after 1 EE 0.9350 1.78e-11 0.9683 4.39e-07 2 DP 0.8163 5.37e-20 0.9051 2.81e-14 3 PA 0.9128 1.28e-13 0.9743 4.93e-06 4 SS_Obj 0.9848 7.59e-04 0.9905 1.95e-02 5 SS_Subj 0.9655 1.51e-07 0.9903 1.72e-02 6 SS_Util 0.9635 7.52e-08 0.9671 2.79e-07 7 Tension 0.9719 1.80e-06 0.9906 2.08e-02 8 OutCtrl 0.9807 9.22e-05 0.9882 4.82e-03 9 ISI 0.8674 4.83e-17 0.9495 8.48e-10 Model N_Edges Density 1 Reported: EBICglasso, Spearman input 33 0.917 2 Sensitivity: EBICglasso after nonparanormal (huge, shrinkage) 31 0.861 Mean_Abs_W Max_Abs_W Top3_Strength Top3_EI 1 0.1267 0.5493 EE > DP > OutCtrl EE > DP > OutCtrl 2 0.1368 0.5730 EE > DP > PA EE > DP > OutCtrl Comparison Edge_weight_r Edge_weight_rho 1 Spearman-input vs normalized-input GGM 0.997 0.99 Edge_set_Jaccard Strength_rank_rho EI_rank_rho 1 0.939 0.933 1 null device 1 变换后重跑 BN bootstrap R = 1000 请耐心等待 Metric Value 1 Arcs in reported BN (raw data) 15.000 2 Arcs in BN after normalization 18.000 3 Common directed arcs 13.000 4 Directed-arc Jaccard 0.650 5 Skeleton Jaccard 0.737 6 Arcs only in reported BN 2.000 7 Arcs only after normalization 5.000 null device 1 -------- R1M1a GGM 与 BN 的信息对应 -------- Agreement N_pairs 1 both 15 2 GGM only 18 3 neither 3 Skeleton Jaccard (GGM vs BN): 0.455 Node GGM_neighbours BN_parents BN_children BN_markov_blanket_size 1 EE 7 0 5 7 2 DP 7 1 2 3 3 PA 7 0 1 4 4 SS_Obj 7 2 0 2 5 SS_Subj 8 2 3 6 6 SS_Util 8 1 3 7 7 Tension 8 2 1 4 8 OutCtrl 8 4 0 4 9 ISI 6 3 0 3 -------- R1M1b BN 中心性与 GGM 排名比较 -------- Node FullName Out_degree In_degree Total_degree 1 EE Emotional Exhaustion 5 0 5 2 DP Depersonalization 2 1 3 3 PA Personal Accomplishment 1 0 1 4 SS_Obj Objective Support 0 2 2 5 SS_Subj Subjective Support 3 2 5 6 SS_Util Support Utilization 3 1 4 7 Tension Tension 1 2 3 8 OutCtrl Out of Control 0 4 4 9 ISI Insomnia Severity 0 3 3 Out_strength_bootweighted In_strength_bootweighted MB_size Betweenness_directed 1 3.979 0.000 7 0 2 1.532 1.000 3 0 3 1.000 0.000 4 0 4 0.000 1.984 2 0 5 2.526 1.282 6 5 6 2.487 0.999 7 1 7 0.817 1.830 4 1 8 0.000 2.801 4 0 9 0.000 2.445 3 0 GGM_Strength GGM_EI 1 1.3007 0.9727 2 1.0763 0.8023 3 1.0044 0.3792 4 0.6326 0.3180 5 0.9018 0.2355 6 0.8610 0.0316 7 1.0075 0.4972 8 1.0180 0.5706 9 0.5597 0.2000 Comparison Spearman_rho 1 BN out-degree vs GGM strength 0.445 2 BN total degree vs GGM strength 0.333 3 BN Markov blanket size vs GGM strength 0.333 4 BN out-strength vs GGM expected influence 0.170 null device 1 -------- R1M2 + R2Q8 do(X) 干预效应 -------- do(X = -1 SD) 对其余节点期望值的改变 单位为 SD Intervened_node Total_abs_effect_on_others Downstream_nodes Effect_on_EE EE EE 3.2562 7 -1 DP DP 0.9635 6 0 PA PA 0.5490 1 0 SS_Obj SS_Obj 0.0000 0 0 SS_Subj SS_Subj 1.3110 4 0 SS_Util SS_Util 0.5685 3 0 Tension Tension 0.2230 1 0 OutCtrl OutCtrl 0.0000 0 0 ISI ISI 0.0000 0 0 Strength 与 do 效应总量的 Spearman rho = 0.525 若 rho 明显小于 1 或存在排名互换 则正文不能再用 strength 充当干预效应 Node Strength_reported Strength_rank Do_total_abs Do_rank Rank_shift EE EE 1.3007 1 3.2562 1 0 DP DP 1.0763 2 0.9635 3 -1 PA PA 1.0044 5 0.5490 5 0 SS_Obj SS_Obj 0.6326 8 0.0000 7 1 SS_Subj SS_Subj 0.9018 6 1.3110 2 4 SS_Util SS_Util 0.8610 7 0.5685 4 3 Tension Tension 1.0075 4 0.2230 6 -2 OutCtrl OutCtrl 1.0180 3 0.0000 7 -4 ISI ISI 0.5597 9 0.0000 7 2 Intervention Nodes_fixed Effect_on_ISI Effect_on_EE 1 EE only EE -0.4419 -1 2 Tension only Tension -0.2230 0 3 EE + Tension EE + Tension -0.5031 -1 4 EE + Tension + OutCtrl EE + Tension + OutCtrl -0.5031 -1 5 All three burnout nodes EE + DP + PA -0.4589 -1 Total_abs_effect_on_non_targets 1 3.2562 2 0.2230 3 2.5919 4 2.2523 5 3.2021 null device 1 -------- R2Q7a BN 模型选择 maxp 与 score 网格 -------- score=bic-g maxp=1: arcs=8 BIC=-9275.6 CV loss=25.5425 score=bic-g maxp=2: arcs=14 BIC=-9216.1 CV loss=25.3987 score=bic-g maxp=3: arcs=17 BIC=-9205.9 CV loss=25.3323 score=bic-g maxp=4: arcs=18 BIC=-9204.6 CV loss=25.3302 score=bic-g maxp=8: arcs=18 BIC=-9204.6 CV loss=25.3316 score=bge maxp=1: arcs=8 BIC=-9275.6 CV loss=25.5383 score=bge maxp=2: arcs=14 BIC=-9216.1 CV loss=25.4466 score=bge maxp=3: arcs=16 BIC=-9207.6 CV loss=25.4419 score=bge maxp=4: arcs=16 BIC=-9207.6 CV loss=25.4419 score=bge maxp=8: arcs=16 BIC=-9207.6 CV loss=25.4419 Score Maxp N_arcs BIC_g LogLik CV_expected_loss Best_by_CV Best_by_BIC 1 bic-g 1 8 -9275.64 -9199.04 25.5425 2 bic-g 2 14 -9216.11 -9121.84 25.3987 3 bic-g 3 17 -9205.91 -9102.81 25.3323 4 bic-g 4 18 -9204.64 -9098.59 25.3302 <= selected <= selected 5 bic-g 8 18 -9204.64 -9098.59 25.3316 <= selected 6 bge 1 8 -9275.64 -9199.04 25.5383 7 bge 2 14 -9216.11 -9121.84 25.4466 8 bge 3 16 -9207.57 -9107.42 25.4419 9 bge 4 16 -9207.57 -9107.42 25.4419 10 bge 8 16 -9207.57 -9107.42 25.4419 -------- R2Q7c 选定 maxp 下的报告网络复核 -------- 选定 maxp = 4 来源: selected by 10-fold CV among the bic-g rows of TableR08 Setting N_arcs BIC_g Directed_Jaccard_vs_unrestricted 1 Unrestricted (as reported) 18 -9204.64 1 2 maxp = 4 18 -9204.64 1 Identical_arc_set 1 reference 2 yes 正在以 maxp = 4 重跑 boot.strength R = 1000 请稍候 Arc In_reported_network In_selected_maxp Strength_reported 1 EE -> DP yes yes 1.000 2 EE -> Tension yes yes 1.000 3 PA -> OutCtrl yes yes 1.000 4 SS_Subj -> SS_Obj yes yes 1.000 5 SS_Subj -> SS_Util yes yes 0.999 6 SS_Util -> SS_Obj yes yes 0.984 7 SS_Util -> ISI yes yes 0.882 8 DP -> Tension yes yes 0.830 9 Tension -> ISI yes yes 0.817 10 EE -> ISI yes yes 0.746 11 DP -> SS_Subj yes yes 0.702 12 EE -> OutCtrl yes yes 0.653 13 SS_Util -> OutCtrl yes yes 0.621 14 EE -> SS_Subj yes yes 0.580 15 SS_Subj -> OutCtrl yes yes 0.527 Strength_maxp Direction_reported Direction_maxp 1 1.000 0.5435 0.5445 2 1.000 0.6550 0.6565 3 1.000 0.5045 0.5015 4 1.000 0.7235 0.7235 5 0.999 0.6156 0.6156 6 0.983 0.6402 0.6419 7 0.880 0.6298 0.6295 8 0.825 0.5873 0.5842 9 0.816 0.6432 0.6489 10 0.745 0.7835 0.7826 11 0.701 0.5534 0.5542 12 0.651 0.8729 0.8725 13 0.622 0.5813 0.5804 14 0.581 0.5440 0.5439 15 0.527 0.7144 0.7144 Metric Value 1 Arcs in the reported averaged network 15 2 Arcs in the averaged network at maxp = 4 15 3 Arcs common to both 15 4 Arcs only in the reported network 0 5 Arcs only under the selected limit 0 6 Directed Jaccard between the two averaged networks 1 7 Skeleton Jaccard between the two averaged networks 1 8 Arc sets identical yes Node In_degree Out_degree Parents 1 EE 0 5 - 2 DP 1 2 EE 3 PA 0 1 - 4 SS_Obj 2 0 SS_Subj, SS_Util 5 SS_Subj 2 3 DP, EE 6 SS_Util 1 3 SS_Subj 7 Tension 2 1 DP, EE 8 OutCtrl 4 0 EE, PA, SS_Subj, SS_Util 9 ISI 3 0 EE, SS_Util, Tension Metric Value 1 Bootstrap resamples evaluated 1000 2 Mean maximum in-degree under the unrestricted search 3.63 3 Largest maximum in-degree observed across resamples 6 4 Resamples in which some node exceeded maxp = 4 58 5 Proportion of resamples in which the limit would bind 0.058 null device 1 全样本弧集是否相同: 是 平均网络是否逐弧相同: 是 回信 Point 7(b) 的说法成立 -------- R2Q7b GGM 稀疏性与样本外预测 -------- EBICglasso gamma = 0.25 edges=33 mean OOS R2=0.4565 EBICglasso gamma = 0.50 (reported) edges=33 mean OOS R2=0.4548 EBICglasso gamma = 1.00 edges=28 mean OOS R2=0.4555 Unregularized pcor, sig-pruned edges=16 mean OOS R2=0.4429 | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++ | 12% ~00s |+++++++++++++ | 25% ~00s |+++++++++++++++++++ | 38% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++ | 62% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 88% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++ | 12% ~00s |+++++++++++++ | 25% ~00s |+++++++++++++++++++ | 38% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++ | 62% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 88% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++ | 17% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++++++ | 33% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++ | 17% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++ | 25% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~01s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++++ | 20% ~00s |++++++++++++++++++++ | 40% ~00s |++++++++++++++++++++++++++++++ | 60% ~00s |++++++++++++++++++++++++++++++++++++++++ | 80% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++++ | 20% ~00s |++++++++++++++++++++ | 40% ~00s |++++++++++++++++++++++++++++++ | 60% ~00s |++++++++++++++++++++++++++++++++++++++++ | 80% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++++++ | 33% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++ | 11% ~00s |++++++++++++ | 22% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++ | 12% ~00s |+++++++++++++ | 25% ~00s |+++++++++++++++++++ | 38% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++ | 62% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 88% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++ | 17% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++ | 25% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++++++ | 33% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~01s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++ | 12% ~00s |+++++++++++++ | 25% ~00s |+++++++++++++++++++ | 38% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++ | 62% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 88% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++ | 12% ~00s |+++++++++++++ | 25% ~00s |+++++++++++++++++++ | 38% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++ | 62% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 88% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++ | 17% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++++++ | 33% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++ | 14% ~00s |+++++++++++++++ | 29% ~00s |++++++++++++++++++++++ | 43% ~00s |+++++++++++++++++++++++++++++ | 57% ~00s |++++++++++++++++++++++++++++++++++++ | 71% ~00s |+++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++ | 17% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++++ | 20% ~00s |++++++++++++++++++++ | 40% ~00s |++++++++++++++++++++++++++++++ | 60% ~00s |++++++++++++++++++++++++++++++++++++++++ | 80% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++++++ | 33% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++ | 11% ~00s |++++++++++++ | 22% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++ | 14% ~00s |+++++++++++++++ | 29% ~00s |++++++++++++++++++++++ | 43% ~00s |+++++++++++++++++++++++++++++ | 57% ~00s |++++++++++++++++++++++++++++++++++++ | 71% ~00s |+++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++++++ | 33% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++ | 11% ~00s |++++++++++++ | 22% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++ | 11% ~00s |++++++++++++ | 22% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++ | 12% ~00s |+++++++++++++ | 25% ~00s |+++++++++++++++++++ | 38% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++ | 62% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 88% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++ | 17% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++ | 25% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++++++ | 33% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++ | 17% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++++ | 20% ~00s |++++++++++++++++++++ | 40% ~00s |++++++++++++++++++++++++++++++ | 60% ~00s |++++++++++++++++++++++++++++++++++++++++ | 80% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++++++ | 33% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++ | 10% ~00s |++++++++++ | 20% ~00s |+++++++++++++++ | 30% ~00s |++++++++++++++++++++ | 40% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++ | 60% ~00s |+++++++++++++++++++++++++++++++++++ | 70% ~00s |++++++++++++++++++++++++++++++++++++++++ | 80% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 90% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++ | 14% ~00s |+++++++++++++++ | 29% ~00s |++++++++++++++++++++++ | 43% ~00s |+++++++++++++++++++++++++++++ | 57% ~00s |++++++++++++++++++++++++++++++++++++ | 71% ~00s |+++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++ | 17% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++ | 25% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++++++ | 33% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++ | 25% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++++++ | 33% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s ggmModSelect (stepwise) edges=16 mean OOS R2=0.4492 Saturated (all 36 edges) edges=36 mean OOS R2=0.4578 Model N_edges Density Mean_OOS_R2 Min_OOS_R2 1 EBICglasso gamma = 0.25 33 0.917 0.4565 0.2627 2 EBICglasso gamma = 0.50 (reported) 33 0.917 0.4548 0.2617 3 EBICglasso gamma = 1.00 28 0.778 0.4555 0.2617 4 Unregularized pcor, sig-pruned 16 0.444 0.4429 0.2551 5 ggmModSelect (stepwise) 16 0.444 0.4492 0.2687 6 Saturated (all 36 edges) 36 1.000 0.4578 0.2464 OOS_R2_EE OOS_R2_ISI Best 1 0.7040 0.2627 2 0.7022 0.2617 3 0.7034 0.2617 4 0.7017 0.2551 5 0.7025 0.2687 6 0.7068 0.2464 <= best out-of-sample | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++ | 12% ~00s |+++++++++++++ | 25% ~00s |+++++++++++++++++++ | 38% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++ | 62% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 88% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++ | 12% ~00s |+++++++++++++ | 25% ~00s |+++++++++++++++++++ | 38% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++ | 62% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 88% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++ | 17% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++++++ | 33% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |+++++++++++++++++++++++++ | 50% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s | | 0 % ~calculating |++ | 3 % ~00s |+++ | 6 % ~00s |+++++ | 8 % ~00s |++++++ | 11% ~00s |+++++++ | 14% ~00s |+++++++++ | 17% ~00s |++++++++++ | 19% ~00s |++++++++++++ | 22% ~00s |+++++++++++++ | 25% ~00s |++++++++++++++ | 28% ~00s |++++++++++++++++ | 31% ~00s |+++++++++++++++++ | 33% ~00s |+++++++++++++++++++ | 36% ~00s |++++++++++++++++++++ | 39% ~00s |+++++++++++++++++++++ | 42% ~00s |+++++++++++++++++++++++ | 44% ~00s |++++++++++++++++++++++++ | 47% ~00s |+++++++++++++++++++++++++ | 50% ~00s |+++++++++++++++++++++++++++ | 53% ~00s |++++++++++++++++++++++++++++ | 56% ~00s |++++++++++++++++++++++++++++++ | 58% ~00s |+++++++++++++++++++++++++++++++ | 61% ~00s |++++++++++++++++++++++++++++++++ | 64% ~00s |++++++++++++++++++++++++++++++++++ | 67% ~00s |+++++++++++++++++++++++++++++++++++ | 69% ~00s |+++++++++++++++++++++++++++++++++++++ | 72% ~00s |++++++++++++++++++++++++++++++++++++++ | 75% ~00s |+++++++++++++++++++++++++++++++++++++++ | 78% ~00s |+++++++++++++++++++++++++++++++++++++++++ | 81% ~00s |++++++++++++++++++++++++++++++++++++++++++ | 83% ~00s |++++++++++++++++++++++++++++++++++++++++++++ | 86% ~00s |+++++++++++++++++++++++++++++++++++++++++++++ | 89% ~00s |++++++++++++++++++++++++++++++++++++++++++++++ | 92% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++ | 94% ~00s |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s null device 1 null device 1 Model N_Edges Density Mean_Abs_W Max_Abs_W 1 EBICglasso gamma = 0.50 (reported) 33 0.917 0.1267 0.5493 2 Unregularized pcor, sig-pruned 16 0.444 0.2264 0.5679 3 ggmModSelect (stepwise) 16 0.444 0.2321 0.5642 Top3_Strength Top3_EI 1 EE > DP > OutCtrl EE > DP > OutCtrl 2 EE > PA > DP EE > DP > Tension 3 EE > DP > OutCtrl EE > DP > Tension Comparison Edge_weight_r Edge_weight_rho Edge_set_Jaccard 1 reported vs unregularized pcor 0.976 0.910 0.485 2 reported vs ggmModSelect 0.950 0.824 0.485 Strength_rank_rho EI_rank_rho 1 0.850 0.933 2 0.833 0.950 -------- R2Q6 构念内 vs 构念间 的膨胀分解 -------- Type N_edges Mean_abs_weight Max_abs_weight Between constructs Between constructs 26 0.1036 0.5359 Within construct Within construct 7 0.2126 0.5493 Node Construct N_same_construct_neighbours 1 EE Burnout 2 2 DP Burnout 2 3 PA Burnout 2 4 SS_Obj Social Support 2 5 SS_Subj Social Support 2 6 SS_Util Social Support 2 7 Tension Occupational Stress 1 8 OutCtrl Occupational Stress 1 9 ISI Insomnia 0 N_other_construct_neighbours R2_all_neighbours R2_same_construct_only 1 5 0.7188 0.6387 2 5 0.6746 0.6474 3 5 0.4203 0.0397 4 5 0.3293 0.3132 5 6 0.4374 0.3645 6 6 0.3982 0.3344 7 7 0.5815 0.1015 8 7 0.5228 0.1015 9 6 0.2976 0.0000 R2_other_construct_only Unique_gain_from_other_constructs 1 0.5871 0.0801 2 0.5192 0.0272 3 0.4104 0.3806 4 0.1824 0.0162 5 0.2941 0.0729 6 0.2774 0.0638 7 0.5810 0.4800 8 0.5222 0.4213 9 0.2976 0.2976 解读 若 R2_same_construct_only 已接近 R2_all_neighbours 则该节点的高 R2 主要来自同构念冗余 而不是跨构念的实质关联 Node Theoretical_construct Data_driven_community 1 EE Burnout 1 2 DP Burnout 1 3 PA Burnout 2 4 SS_Obj Social Support 3 5 SS_Subj Social Support 3 6 SS_Util Social Support 3 7 Tension Occupational Stress 1 8 OutCtrl Occupational Stress 2 9 ISI Insomnia 1 Metric Value 1 Number of data-driven communities 3.000 2 Modularity of data-driven partition 0.277 3 Modularity of the four theoretical constructs 0.047 4 Adjusted Rand index (data-driven vs theoretical) 0.314 EGAnet not installed; walktrap community detection reported instead. -------- R2Q6b 桥指标在两种社区划分下的对照 -------- Node Theoretical_community Data_driven_community BS_theoretical 1 EE Burnout Community_1 0.6735 2 DP Burnout Community_1 0.4174 3 PA Burnout Community_2 0.8169 4 SS_Obj Social Support Community_3 0.1573 5 SS_Subj Social Support Community_3 0.3795 6 SS_Util Social Support Community_3 0.4147 7 Tension Occupational Stress Community_1 0.9781 8 OutCtrl Occupational Stress Community_2 0.9886 9 ISI Insomnia Community_1 0.5597 BS_data_driven BEI_theoretical BEI_data_driven 1 0.2656 0.5013 -0.0624 2 0.3293 0.1435 0.0554 3 0.4685 0.3475 -0.1567 4 0.1573 -0.1573 -0.1573 5 0.3795 -0.2868 -0.2868 6 0.4147 -0.4147 -0.4147 7 0.2846 0.4678 -0.2257 8 0.4822 0.5412 0.0348 9 0.2246 0.2000 -0.1351 Metric 1 Spearman rho bridge strength theoretical vs data-driven 2 Spearman rho bridge expected influence theoretical vs data-driven 3 Top 2 by bridge strength theoretical communities 4 Top 2 by bridge strength data-driven communities 5 Number of communities theoretical 6 Number of communities data-driven Value 1 0.433 2 0.617 3 OutCtrl > Tension 4 OutCtrl > PA 5 4 6 3 -------- R2Q9 Tension-OutCtrl 近零边诊断 -------- Node R2_on_all_others VIF 1 EE 0.7191 3.56 2 DP 0.6746 3.07 3 PA 0.4206 1.73 4 SS_Obj 0.3299 1.49 5 SS_Subj 0.4374 1.78 6 SS_Util 0.3982 1.66 7 Tension 0.5815 2.39 8 OutCtrl 0.5228 2.10 9 ISI 0.2980 1.42 Diagnostic Value 1 Spearman correlation Tension-OutCtrl 0.363 2 Pearson correlation Tension-OutCtrl 0.319 3 Unregularized partial correlation Tension-OutCtrl 0.038 4 Regularized (reported) edge weight Tension-OutCtrl 0.029 5 VIF Tension 2.390 6 VIF OutCtrl 2.100 7 Condition number of the Spearman correlation matrix 23.800 8 Number of items shared by the two subscales 0.000 # A tibble: 1 × 9 # Groups: node1, node2 [1] node1 node2 sample mean sd CIlower CIupper q2.5 q97.5 1 Tension OutCtrl 0.0294 0.0289 0.0376 -0.0458 0.105 0 0.125 -------- R2G2 控制变量 残差化重估 -------- 可用协变量: Age, WorkYears, Gender, Education 残差化分析样本量 N = 362 Node R2_covariates F_p Age_beta Age_p WorkYears_beta WorkYears_p 1 EE 0.0273 0.130000 -0.0365 0.7810 -0.0284 0.81200 2 DP 0.0083 0.813000 0.0225 0.8200 -0.0481 0.59300 3 PA 0.0727 0.000149 0.3917 0.0119 -0.3917 0.00581 4 SS_Obj 0.0417 0.018600 -0.0625 0.3050 0.0884 0.11200 5 SS_Subj 0.0566 0.002010 0.0406 0.6500 0.0694 0.39400 6 SS_Util 0.0367 0.037600 -0.0198 0.5960 0.0185 0.58600 7 Tension 0.0250 0.172000 0.0206 0.7970 -0.0234 0.74900 8 OutCtrl 0.0266 0.141000 0.0693 0.5460 -0.1184 0.25700 9 ISI 0.0275 0.127000 0.0429 0.6050 0.0035 0.96400 Model N_Edges Density Mean_Abs_W 1 Reported (no covariates) 33 0.917 0.1267 2 Residualized on Age + WorkYears + Gender + Education 31 0.861 0.1295 Max_Abs_W Top3_Strength Top3_EI 1 0.5493 EE > DP > OutCtrl EE > DP > OutCtrl 2 0.5356 EE > DP > OutCtrl EE > DP > OutCtrl Comparison Edge_weight_r Edge_weight_rho 1 reported vs covariate-residualized 0.987 0.93 Edge_set_Jaccard Strength_rank_rho EI_rank_rho 1 0.939 0.933 1 残差化数据上重跑 BN bootstrap Metric Value 1 Arcs reported 15.000 2 Arcs after residualizing 15.000 3 Common directed arcs 11.000 4 Directed-arc Jaccard 0.579 5 Skeleton Jaccard 0.667 -------- R2Q4 入选标准敏感性 -------- Metric Value 1 Stated inclusion criterion 18 years or older 2 Observed minimum age 21 3 Observed maximum age 59 4 N younger than 20 0 5 N younger than 22 11 6 N with tenure below 1 year 13 7 N with tenure of 1 year or less 34 8 Median tenure (years) 12 剔除工龄不足一年者后 N = 349 Model N_Edges Density Mean_Abs_W Max_Abs_W 1 Full sample (N = 362) 33 0.917 0.1267 0.5493 2 Tenure >= 1 year (N = 349) 29 0.806 0.1268 0.5157 Top3_Strength Top3_EI 1 EE > DP > OutCtrl EE > DP > OutCtrl 2 EE > DP > OutCtrl EE > DP > Tension Comparison Edge_weight_r Edge_weight_rho Edge_set_Jaccard 1 full sample vs tenure >= 1 year 0.98 0.916 0.879 Strength_rank_rho EI_rank_rho 1 0.883 0.967 该子样本上重跑 BN bootstrap Metric Value 1 Arcs full sample 15.000 2 Arcs tenure >= 1 year 13.000 3 Common directed arcs 13.000 4 Directed-arc Jaccard 0.867 5 Skeleton Jaccard 0.867 -------- R2G1 样本量与边估计精度 -------- Metric Value 1 Analysed sample size 362.000 2 Nodes 9.000 3 Estimated parameters (possible edges) 36.000 4 Observations per possible edge 10.100 5 Non-zero edges in the reported network 33.000 6 Non-zero edges whose 95% bootstrap CI excludes zero 13.000 7 Proportion of non-zero edges with CI excluding zero 0.394 8 Mean 95% CI width across non-zero edges 0.177 9 Widest 95% CI among non-zero edges 0.238 10 CS-coefficient: betweenness 0.000 11 CS-coefficient: closeness 0.000 12 CS-coefficient: expectedInfluence 0.751 13 CS-coefficient: strength 0.517 -------- R2G3 跨算法族一致性 取代 HC vs Tabu -------- Algorithm Family N_arcs N_skeleton_edges 1 hc (bic-g) Score-based 18 18 2 tabu (bic-g) Score-based 18 18 3 hc (bge) Score-based 16 16 4 tabu (bge) Score-based 16 16 5 pc.stable Constraint-based 17 12 6 gs Constraint-based 15 11 7 iamb Constraint-based 17 12 8 mmhc (bic-g) Hybrid 12 12 Skeleton_Jaccard_vs_hc_bicg Directed_Jaccard_vs_hc_bicg 1 1.000 1.000 2 1.000 1.000 3 0.889 0.789 4 0.889 0.789 5 0.579 0.346 6 0.611 0.222 7 0.579 0.400 8 0.579 0.304 hc (bic-g) tabu (bic-g) hc (bge) tabu (bge) pc.stable gs iamb hc (bic-g) 1.000 1.000 0.889 0.889 0.579 0.611 0.579 tabu (bic-g) 1.000 1.000 0.889 0.889 0.579 0.611 0.579 hc (bge) 0.889 0.889 1.000 1.000 0.647 0.688 0.647 tabu (bge) 0.889 0.889 1.000 1.000 0.647 0.688 0.647 pc.stable 0.579 0.579 0.647 0.647 1.000 0.917 1.000 gs 0.611 0.611 0.688 0.688 0.917 1.000 0.917 iamb 0.579 0.579 0.647 0.647 1.000 0.917 1.000 mmhc (bic-g) 0.579 0.579 0.647 0.647 1.000 0.917 1.000 mmhc (bic-g) hc (bic-g) 0.579 tabu (bic-g) 0.579 hc (bge) 0.647 tabu (bge) 0.647 pc.stable 1.000 gs 0.917 iamb 1.000 mmhc (bic-g) 1.000 -------- R1m2c 信度 与 条目级核验 与 十一节点直测 -------- 读取分表 MBI-GS skip = 2 行数 = 362 读取分表 CPSS skip = 1 行数 = 362 读取分表 SSRS skip = 1 行数 = 362 Subscale Entries 1 Objective (items 2, 6, 7) S2 + S10 + S11 2 Subjective (items 1, 3, 4, 5; 5 is subdivided) S1, S3, S4, S5, S6, S7, S8, S9 3 Utilization (items 8, 9, 10) S12, S13, S14 Observed_min Observed_max Rows_matching_workbook Rows_total 1 2 20 362 362 2 8 32 362 362 3 3 12 362 362 SSRS 14 个计分项原样还原了工作簿里的三个分量表分 全部 362 行一致 读取分表 ISI skip = 1 行数 = 362 Scale Items N Cronbach_alpha 1 MBI-GS all 15 items, as recorded 15 362 0.896 2 MBI-GS all 15 items, PA reversed 15 362 0.841 3 MBI-GS Emotional Exhaustion 5 362 0.950 4 MBI-GS Depersonalization 4 362 0.937 5 MBI-GS Personal Accomplishment 6 362 0.891 6 CPSS all 14 items 14 362 0.871 7 CPSS Tension 7 362 0.848 8 CPSS Out of Control 7 362 0.642 9 SSRS all 14 scoring entries 14 362 0.833 10 ISI all 7 items 7 362 0.917 Note 1 value reported in Measures; PA items left in the recorded direction 2 counterfactual; lower than the recorded direction, which is the third PA check 3 4 5 6 value reported in Measures 7 8 9 value reported in Measures; the two source-count entries are scored as counts 10 value reported in Measures PA_item r_with_EE_Sum r_with_DP_Sum Direction_consistent_with_burnout 1 PA1 0.002 0.063 yes 2 PA2 0.085 0.177 yes 3 PA3 0.212 0.234 yes 4 PA4 0.234 0.323 yes 5 PA5 0.248 0.370 yes 6 PA6 0.337 0.364 yes PA 条目级相关区间 与 EE_Sum: 0.00 到 0.34 与 DP_Sum: 0.06 到 0.37 十一节点直测 Age-Tenure Spearman rho = 0.948; their partial correlation with all other nodes held constant = 0.926. Of the 18 edges linking Age and Tenure to the nine substantive nodes, 12 are non-zero, with |partial r| from 0.003 to 0.087. Median |partial r| among the nine substantive nodes: 0.081 in the eleven-node network and 0.078 in the reported nine-node network. Possible edges rise from 36 to 55, so observations per parameter fall from 10.1 to 6.6. From To Partial_r 1 Tenure SS_Subj 0.087 2 Tenure ISI 0.052 3 Age SS_Util -0.051 4 Age EE -0.032 5 Age PA 0.028 6 Tenure Tension 0.025 信度提醒 正文 Measures 里的五个 alpha 现在全部来自本模块 可以逐个对上 MBI-GS 记录方向 alpha 高于 PA 反向计分后的 alpha 这是 PA 方向的第三个证据 -------- 生成 审稿意见-输出 对照表 -------- Comment Module 1 R1 Major 1a R1M1a 2 R1 Major 1b R1M1b 3 R1 Major 1c R1M1c 4 R1 Major 2 R1M2 5 R1 Minor 1 text only 6 R1 Minor 2 R1m2 (+ main Table 1) 7 R1 Minor 3 R1m3 8 R1 Minor 4 R1m4 (main Table 1) 9 R1 Minor 5 R1m5 / R1M2 10 R2 General (sample size) R2G1 11 R2 General (covariates) R2G2 12 R2 General (Jaccard = 1) R2G3 13 R2 General (SEM/GGM argumentation) text only 14 R2 Q1 text only 15 R2 Q2 text only 16 R2 Q3 text only 17 R2 Q4 R2Q4 18 R2 Q5 R2Q5 19 R2 Q6 R2Q6 20 R2 Q7 (BN maxp) R2Q7a 21 R2 Q7 (GGM density) R2Q7b 22 R2 Q8 R2Q8 (= R1M2) 23 R2 Q9 R2Q9 24 R2 Q10 code + log release Output 1 TableR05 2 TableR06 + FigR03 3 TableR03 + TableR04 + FigR01/FigR02 4 TableR07 + FigR04 5 - 6 TableR02 + Table1 7 TableR01 8 Table1 9 TableR01 + TableR07 10 TableR14 11 TableR12 + FigR08/FigR09 12 TableR15 13 - 14 - 15 - 16 - 17 TableR13 + FigR10 18 TableR03/R04 + FigR01/R02 19 TableR10 20 TableR08 + FigR05 21 TableR09 + FigR06/FigR07 22 TableR07 + FigR04 23 TableR11 24 run_log_main.txt + sessionInfo_main.txt + this script 返修模块输出目录: network_results/revision 对照表: revision/tables/TableR00_Response_Mapping.xlsx ################ 返修模块结束 ################ ================================================================ 分析完成 - 结果汇总 ================================================================ 样本量: N = 362 节点数: p = 9 非零边数: 33 / 36 网络密度: 0.917 --- GGM中心性排名 (Expected Influence) --- 1. EE (EI = 0.9727) 2. DP (EI = 0.8023) 3. OutCtrl (EI = 0.5706) 4. Tension (EI = 0.4972) 5. PA (EI = 0.3792) 6. SS_Obj (EI = 0.3180) 7. SS_Subj (EI = 0.2355) 8. ISI (EI = 0.2000) 9. SS_Util (EI = 0.0316) --- 节点预测性 R² --- EE: R² = 0.677 DP: R² = 0.647 PA: R² = 0.384 SS_Obj: R² = 0.277 SS_Subj: R² = 0.430 SS_Util: R² = 0.385 Tension: R² = 0.526 OutCtrl: R² = 0.501 ISI: R² = 0.261 --- 桥中心性排名 (Bridge Expected Influence) --- 1. OutCtrl [Occupational Stress] (BEI = 0.5412) 2. EE [Burnout] (BEI = 0.5013) 3. Tension [Occupational Stress] (BEI = 0.4678) 4. SS_Util [Social Support] (BEI = -0.4147) 5. PA [Burnout] (BEI = 0.3475) --- 贝叶斯网络 (Bootstrap平均, threshold=0.5) --- 弧数: 15 EE -> DP EE -> SS_Subj EE -> Tension EE -> OutCtrl EE -> ISI DP -> SS_Subj DP -> Tension PA -> OutCtrl SS_Subj -> SS_Obj SS_Subj -> SS_Util SS_Subj -> OutCtrl SS_Util -> SS_Obj SS_Util -> OutCtrl SS_Util -> ISI Tension -> ISI --- 连通性传播排名 (一步 + 二步) --- 1. EE [Burnout] (Combined = 1.9156) 2. DP [Burnout] (Combined = 1.7775) 3. Tension [Occupational Stress] (Combined = 1.5952) 4. SS_Subj [Social Support] (Combined = 1.4142) 5. OutCtrl [Occupational Stress] (Combined = 1.4088) 6. SS_Util [Social Support] (Combined = 1.3644) 7. PA [Burnout] (Combined = 1.2587) 8. SS_Obj [Social Support] (Combined = 1.0394) 9. ISI [Insomnia] (Combined = 0.9971) --- Bootstrap稳定性 (CS系数) --- betweenness: CS = 0.000 (不稳定 ✗) closeness: CS = 0.000 (不稳定 ✗) expectedInfluence: CS = 0.751 (佳 ✓) strength: CS = 0.517 (佳 ✓) 注意: Betweenness/Closeness CS=0，论文中不应解释这两个指标。 仅报告Strength和Expected Influence（CS均>=0.5，稳定可靠）。 --- Gamma敏感性分析 --- Gamma N_Edges Density Top3_EI 1 0.25 33 0.917 EE > DP > OutCtrl 2 0.50 33 0.917 EE > DP > OutCtrl 3 1.00 28 0.778 EE > DP > Tension 若不同gamma下Top3排名一致，说明结论对参数选择稳健。 ================================================================ 输出目录: network_results figures/ — 所有图表 (PDF) tables/ — 所有数据表 (Excel) revision/ — 返修专用表与图 见 tables/TableR00_Response_Mapping.xlsx run_log_main.txt / sessionInfo_main.txt — 建议随投稿一并提交 ================================================================ ========== 模块16: 复现自检 ========== Item Reported_in_manuscript This_run Match 1 Sample size N 362.0000 362.0000 MATCH 2 Number of edges 33.0000 33.0000 MATCH 3 Network density 0.9170 0.9170 MATCH 4 EE strength 1.3007 1.3007 MATCH 5 EE expected influence 0.9727 0.9727 MATCH 6 EE predictability R2 0.6770 0.6770 MATCH 7 CS coefficient (strength) 0.5170 0.5170 MATCH 8 CS coefficient (expected influence) 0.7510 0.7510 MATCH 9 Arcs in averaged Bayesian network 15.0000 15.0000 MATCH 九项关键数值全部与正文一致 本次运行可直接用于返修 sessionInfo 已保存 生成的文件清单: figures/Fig_Correlation_Matrix.pdf figures/Fig1_GGM_Network.pdf figures/Fig10_JDR_Grouped_Network.pdf figures/Fig1b_GGM_Positive_Edges.pdf figures/Fig2_Centrality_Plot.pdf figures/Fig3_Network_with_Predictability.pdf figures/Fig4_Bridge_Centrality.pdf figures/Fig5_Bayesian_Network_Averaged.pdf figures/Fig5b_Bayesian_Network_Strict.pdf figures/Fig6_Intervention_Simulation.pdf figures/Fig6b_Intervention_Heatmap.pdf figures/Fig7_GGM_vs_BN_Comparison.pdf figures/Fig8a_Bootstrap_Edge_CI.pdf figures/Fig8b_Centrality_Stability.pdf figures/Fig9a_Edge_Difference_Test.pdf figures/Fig9b_Strength_Difference_Test.pdf figures/Fig9c_EI_Difference_Test.pdf figures/FigS_Centrality_All_Four.pdf figures/FigS_Centrality_Stability_All.pdf revision/figures/FigR01_GGM_after_normalization.pdf revision/figures/FigR02_BN_after_normalization.pdf revision/figures/FigR03_BN_centrality.pdf revision/figures/FigR04_do_intervention_heatmap.pdf revision/figures/FigR05_BN_model_selection.pdf revision/figures/FigR06_GGM_unregularized_pcor.pdf revision/figures/FigR07_GGM_ggmModSelect.pdf revision/figures/FigR08_GGM_covariate_residualized.pdf revision/figures/FigR09_BN_covariate_residualized.pdf revision/figures/FigR10_GGM_tenure_at_least_1year.pdf revision/figures/FigR11_BN_selected_maxp.pdf revision/tables/TableR00_Response_Mapping.xlsx revision/tables/TableR01_Reported_Quantity_Definitions.xlsx revision/tables/TableR02_Scoring_and_Range_Check.xlsx revision/tables/TableR02b_PA_Direction_Check.xlsx revision/tables/TableR03_Normality_Tests.xlsx revision/tables/TableR04_Normalized_Reanalysis.xlsx revision/tables/TableR05_GGM_vs_BN_Correspondence.xlsx revision/tables/TableR06_BN_Centrality.xlsx revision/tables/TableR07_do_Intervention_Effects.xlsx revision/tables/TableR08_BN_Model_Selection.xlsx revision/tables/TableR08b_Selected_Maxp_Check.xlsx revision/tables/TableR09_GGM_Sparsity_and_Overfitting.xlsx revision/tables/TableR10_Within_vs_Between_Construct.xlsx revision/tables/TableR10b_Bridge_Community_Sensitivity.xlsx revision/tables/TableR11_NearZero_Edge_Diagnostics.xlsx revision/tables/TableR12_Covariate_Adjusted_Networks.xlsx revision/tables/TableR13_Inclusion_Criteria_Sensitivity.xlsx revision/tables/TableR14_Sample_Size_and_Edge_Accuracy.xlsx revision/tables/TableR15_Cross_Algorithm_Consistency.xlsx revision/tables/TableR16_Reliability_and_Item_Checks.xlsx run_log_main.txt sessionInfo_main.txt tables/Edge_Weight_Matrix.csv tables/Spearman_Correlation_Matrix.csv tables/Table_Gamma_Sensitivity.xlsx tables/Table1_Descriptive_Statistics.xlsx tables/Table10_Combined_Intervention_Ranking.xlsx tables/Table11_CS_Coefficients.xlsx tables/Table12_Global_Network_Metrics.xlsx tables/Table13_Edge_List.xlsx tables/Table14_Reproducibility_Check.xlsx tables/Table2_Centrality_Indices.xlsx tables/Table3_Node_Predictability_R2.xlsx tables/Table4_Bridge_Centrality.xlsx tables/Table5_BN_Bootstrap_Arc_Strength.xlsx tables/Table6_BN_Averaged_Network_Arcs.xlsx tables/Table7_BN_Algorithm_Consistency.xlsx tables/Table8_Intervention_Effects.xlsx tables/Table9_Two_Step_Propagation.xlsx 运行结束时间: 2026-08-18 17:52:39 ================================================================================ PART 2: R Session Information (sessionInfo_main.txt) -------------------------------------------------------------------------------- R version 4.5.1 (2025-06-13 ucrt) Platform: x86_64-w64-mingw32/x64 Running under: Windows 11 x64 (build 26200) Matrix products: default LAPACK version 3.12.1 locale: [1] LC_COLLATE=Chinese (Simplified)_China.utf8 [2] LC_CTYPE=Chinese (Simplified)_China.utf8 [3] LC_MONETARY=Chinese (Simplified)_China.utf8 [4] LC_NUMERIC=C [5] LC_TIME=Chinese (Simplified)_China.utf8 time zone: Asia/Shanghai tzcode source: internal attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] reshape2_1.4.4 RColorBrewer_1.1-3 igraph_2.2.1 dplyr_1.1.4 [5] writexl_1.5.4 psych_2.5.6 corrplot_0.95 bnlearn_5.1 [9] mgm_1.2-15 networktools_1.6.0 bootnet_1.6 ggplot2_4.0.1 [13] qgraph_1.9.8 readxl_1.4.5 loaded via a namespace (and not attached): [1] Rdpack_2.6.4 mnormt_2.1.1 pbapply_1.7-4 [4] polynom_1.4-1 gridExtra_2.3 fdrtool_1.2.18 [7] rlang_1.1.6 magrittr_2.0.4 otel_0.2.0 [10] e1071_1.7-16 compiler_4.5.1 gdata_3.0.1 [13] IsingSampler_0.2.4 png_0.1-8 vctrs_0.6.5 [16] quadprog_1.5-8 stringr_1.6.0 crayon_1.5.3 [19] pkgconfig_2.0.3 shape_1.4.6.1 fastmap_1.2.0 [22] backports_1.5.0 labeling_0.4.3 utf8_1.2.6 [25] pbivnorm_0.6.0 rmarkdown_2.30 NetworkToolbox_1.4.4 [28] nloptr_2.2.1 purrr_1.1.0 xfun_0.53 [31] glmnet_4.1-10 jomo_2.7-6 pan_1.9 [34] huge_1.3.5 jpeg_0.1-11 lavaan_0.6-21 [37] broom_1.0.11 parallel_4.5.1 cluster_2.1.8.1 [40] R6_2.6.1 stringi_1.8.7 smacof_2.1-7 [43] boot_1.3-32 rpart_4.1.24 cellranger_1.1.0 [46] Rcpp_1.1.0 iterators_1.0.14 knitr_1.51 [49] snow_0.4-4 base64enc_0.1-3 R.utils_2.13.0 [52] weights_1.1.2 Matrix_1.7-3 nnls_1.6 [55] splines_4.5.1 nnet_7.3-20 tidyselect_1.2.1 [58] abind_1.4-8 rstudioapi_0.17.1 doParallel_1.0.17 [61] codetools_0.2-20 lattice_0.22-7 tibble_3.3.0 [64] plyr_1.8.9 withr_3.0.2 S7_0.2.0 [67] evaluate_1.0.5 foreign_0.8-90 survival_3.8-3 [70] proxy_0.4-27 pillar_1.11.1 mice_3.18.0 [73] stats4_4.5.1 checkmate_2.3.3 foreach_1.5.2 [76] IsingFit_0.4 reformulas_0.4.3 ellipse_0.5.0 [79] generics_0.1.4 scales_1.4.0 minqa_1.2.8 [82] gtools_3.9.5 class_7.3-23 glue_1.8.0 [85] Hmisc_5.2-4 tools_4.5.1 data.table_1.17.8 [88] lme4_1.1-37 mvtnorm_1.3-3 grid_4.5.1 [91] plotrix_3.8-13 tidyr_1.3.1 rbibutils_2.3 [94] colorspace_2.1-2 nlme_3.1-168 htmlTable_2.4.3 [97] eigenmodel_1.11 Formula_1.2-5 cli_3.6.5 [100] glasso_1.11 corpcor_1.6.10 gtable_0.3.6 [103] R.methodsS3_1.8.2 digest_0.6.37 wordcloud_2.6 [106] htmlwidgets_1.6.4 farver_2.1.2 htmltools_0.5.8.1 [109] R.oo_1.27.1 lifecycle_1.0.4 mitml_0.4-5 [112] MASS_7.3-65