The Spillover Effect of Life Satisfaction on Customer Satisfaction: The Mediating Role of Service-Oriented Organizational Citizenship and the Moderating Role of Competition Climate.

In the field of organizational management, research on employees' life experiences is insufficient. It remains unclear how employees' non-work experiences affect customer service quality. Building on the spillover theory (an individual's experience in one domain can be transferred to another domain) and the conservation of resources theory (individuals are motivated to protect their current resources and to acquire new resources), we aim to examine the impact of service employee's life satisfaction on customer satisfaction while considering service-oriented organizational citizenship behavior (the discretionary extra-role behavior demonstrated by employees) as a mediating variable. To test our hypothesis, we collected multi-wave, multilevel, multisource data of 209 customer service employees from an insurance company. The results showed that service-oriented organizational citizenship behavior was an important mechanism by which employees' overall life satisfaction positively affected customer satisfaction. In addition, this mediating effect was weaker for employees in higher competition climate groups. The study illustrates the critical contribution of the overall well-being of personnel to organizational business results.

Clinical features and prognostic analysis of moyamoya disease associated with intracranial aneurysms.

OBJECTIVES: To explore clinical features and compare of the difference between conservative treatment and surgical treatmentin prognosis of intracranial aneurysms associated with moyamoya disease (MMD). METHODS: 104 patients with MMD a ssociated with intracranial aneurysms diagnosed by digital subtraction angiography (DSA) or computed tomography angiography (CTA) were retrospectively analyzed. RESULTS: All patients of MMD with intracranial aneurysms had 129 aneurysms distributed at different sites. The distribution of the aneurysms was as follows: 28(21.71%) anterior communicating artery aneurysms, 21(16.28%) basilar artery aneurysms, 19(14.73%) middle cerebral artery aneurysms, 17(13.18%) posterior cerebral artery aneurysms, 12(9.30%)internal carotid artery aneurysms, 11(8.53%) posterior communicating artery aneurysms, 10(7.75%) anterior cerebral artery aneurysms, 5(3.88%) anterior choroidal artery aneurysms, 2(1.55%) moyamoya vessel aneurysms, and 4(3.1%) other location aneurysms. 82 cases (78.85%) had one aneurysm, and 21 cases (20.19%) had 2 or more aneurysms. 64 cases were treated surgically, and 40 cases were treated conservatively. 57 of 81 cases (70.37%) had a good outcome, 2 cases (2.47%) were in paralyzed, and 22 cases were died. The mortality rate was (27.16%). Death occurred in 16 (47.06%) of 34 patients with conservative treatment, and 6(12.77%) of 47 patients with surgical treatment. 7 cases (8.64%) had twice cerebral hemorrhage, and one case (1.23%) had third cerebral hemorrhage in the follow-up period. There were 5 deaths, two good outcomes, and one coma among 8 cases experienced re-hemorrhage. CONCLUSION: Compared with conservative treatment, positive surgical treatment showed clinical significance for preventing cerebral hemorrhage and reducing mortality of MMD with intracranial aneurysms. ABBREVIATIONS: MMD: moyamoya disease; DSA: digital subtraction angiography; CTA: computed tomography angiography.

Regional ambient temperature is associated with human personality.

Human personality traits differ across geographical regions 1-5 . However, it remains unclear what generates these geographical personality differences. Because humans constantly experience and react to ambient temperature, we propose that temperature is a crucial environmental factor that is associated with individuals' habitual behavioural patterns and, therefore, with fundamental dimensions of personality. To test the relationship between ambient temperature and personality, we conducted two large-scale studies in two geographically large yet culturally distinct countries: China and the United States. Using data from 59 Chinese cities (N = 5,587), multilevel analyses and machine learning analyses revealed that compared with individuals who grew up in regions with less clement temperatures, individuals who grew up in regions with more clement temperatures (that is, closer to 22 °C) scored higher on personality factors related to socialization and stability (agreeableness, conscientiousness, and emotional stability) and personal growth and plasticity (extraversion and openness to experience). These relationships between temperature clemency and personality factors were replicated in a larger dataset of 12,499 ZIP-code level locations (the lowest geographical level feasible) in the United States (N = 1,660,638). Taken together, our findings provide a perspective on how and why personalities vary across geographical regions beyond past theories (subsistence style theory, selective migration theory and pathogen prevalence theory). As climate change continues across the world, we may also observe concomitant changes in human personality.

Creating a Chinese suicide dictionary for identifying suicide risk on social media.

Introduction. Suicide has become a serious worldwide epidemic. Early detection of individual suicide risk in population is important for reducing suicide rates. Traditional methods are ineffective in identifying suicide risk in time, suggesting a need for novel techniques. This paper proposes to detect suicide risk on social media using a Chinese suicide dictionary. Methods. To build the Chinese suicide dictionary, eight researchers were recruited to select initial words from 4,653 posts published on Sina Weibo (the largest social media service provider in China) and two Chinese sentiment dictionaries (HowNet and NTUSD). Then, another three researchers were recruited to filter out irrelevant words. Finally, remaining words were further expanded using a corpus-based method. After building the Chinese suicide dictionary, we tested its performance in identifying suicide risk on Weibo. First, we made a comparison of the performance in both detecting suicidal expression in Weibo posts and evaluating individual levels of suicide risk between the dictionary-based identifications and the expert ratings. Second, to differentiate between individuals with high and non-high scores on self-rating measure of suicide risk (Suicidal Possibility Scale, SPS), we built Support Vector Machines (SVM) models on the Chinese suicide dictionary and the Simplified Chinese Linguistic Inquiry and Word Count (SCLIWC) program, respectively. After that, we made a comparison of the classification performance between two types of SVM models. Results and Discussion. Dictionary-based identifications were significantly correlated with expert ratings in terms of both detecting suicidal expression (r = 0.507) and evaluating individual suicide risk (r = 0.455). For the differentiation between individuals with high and non-high scores on SPS, the Chinese suicide dictionary (t1: F 1 = 0.48; t2: F 1 = 0.56) produced a more accurate identification than SCLIWC (t1: F 1 = 0.41; t2: F 1 = 0.48) on different observation windows. Conclusions. This paper confirms that, using social media, it is possible to implement real-time monitoring individual suicide risk in population. Results of this study may be useful to improve Chinese suicide prevention programs and may be insightful for other countries.