This present study can help managers to realize the importance of employees' psychological stress and job burnout problems. The obtained conclusions provide significant decision-making references for managers in intervening job burnout, managing emotional stress and mental health of employees.

Based on the knowledge potential, we analyze the stability of team. Using Logistic rule simulation knowledge of alliance competition process, we draw stable solution of knowledge shift in the team; through the system MATLAB simulation, it shows that stability of team has something to do with length of cooperation. Research results can provide reference for promoting the stability of team and internal knowledge sharing.

ObjectiveRecent clinical studies have demonstrated that advanced age and low initial Glasgow Coma Scale (GCS) score were independent predictors of gastrointestinal bleeding (GIB) in patients with primary intracerebral hemorrhage (ICH). However, used singly, age and GCS score have their respective shortcomings in predicting the occurrence of GIB. This study aimed to investigate the association between the age-to-initial GCS score ratio (AGR) and the risk of GIB following ICH.MethodsWe conducted a single-center, retrospective observational study of consecutive patients presenting with spontaneous primary ICH at our hospital from January 2017 through January 2021. Patients who fulfilled the inclusion and exclusion criteria were categorized into GIB and non-GIB groups. Univariate and multivariate logistic regression analyses were implemented to identify the independent risk factors for the occurrence of GIB, and a multicollinearity test was performed. Furthermore, one-to-one matching was conducted to balance important patient characteristics by the groups' propensity score matching (PSM) analysis.ResultsA total of 786 consecutive patients fulfilled the inclusion/exclusion criteria for the study, and 64 (8.14%) patients experienced GIB after primary ICH. Univariate analysis revealed that patients with GIB were significantly older [64.0 (55.0–71.75) years vs. 57.0 (51.0–66.0) years, p = 0.001] and had a higher AGR [7.32 (5.24–8.96) vs. 5.40 (4.31–7.11), p < 0.001] and a lower initial GCS score [9.0 (7.0–11.0) vs. 11.0 (8.0–13.0), p < 0.001]. The multicollinearity test revealed that no multicollinearity was observed in the multivariable models. Multivariate analysis showed that the AGR was a significant independent predictor of GIB [odds ratio (OR) 1.155, 95% confidence interval (CI) 1.041–1.281, p = 0.007], as well as prior anticoagulation or antiplatelet therapy (OR 0.388, 95% CI 0.160–0.940, p = 0.036) and MV used >24 h (OR 0.462, 95% CI 0.252–0.848, p = 0.013). Receiver operating curve (ROC) analysis illustrated that the optimal cutoff value for the AGR as a predictor for GIB in patients with primary ICH was 6.759 [the area under the curve (AUC) was 0.713 with a corresponding sensitivity of 60.94% and specificity of 70.5%, 95% CI 0.680–0.745, p < 0.001]. After 1:1 PSM, the matched GIB group had significantly higher AGR levels compared with the matched non-GIB group [7.47(5.38–9.32) vs. 5.24(4.24–6.40), p <0.001]. The ROC analysis indicated an AUC of 0.747 (the sensitivity was 65.62%, and the specificity was 75.0%, 95% CI 0.662–0.819, p < 0.001) for AGR levels as an independent predictor of GIB in patients with ICH. In addition, AGR levels were statistically correlated with unfunctional 90-day outcomes.ConclusionA higher AGR was associated with an increased risk of GIB and unfunctional 90-day outcomes in patients with primary ICH.

Some researches indicated that operational research activities could achieve a sustainable competitive advantage for the organization. However, how to achieve a sustainable competitive advantage by operational research activities has not yet been scientifically and entirely revealed. Based on theories of management entropy and management dissipative structure, it establishes the entropy flow model and discourses on the positive and negative entropy flows in the evolutionary process from operational research activities to sustainable competitive advantage. Then, it develops formulations of management dissipative structure containing the positive and negative entropy flows from organization and environment. By solving these formulations, the value of total entropy can be calculated, and whether the formation of management dissipative structure can be estimated. This research provides a new referenced scheme to reduce the increasing of positive entropy flow and introduce negative entropy flow to accelerate the evolutionary process from operational research activities to sustainable competitive advantage.

No abstract