We study whether greater social trust is associated with a lower incidence of corporate misconduct. Both social norm and network theory suggest that social trust can affect managerial behavior and reduce the likelihood of misconduct behavior. Consistent with this prediction, we find that social trust is negatively associated with corporate misconduct behavior. Moreover, we show that, when media coverage is higher, the negative relation between social trust and corporate misconduct behavior is more pronounced. Further analyses suggest that social trust can (...) help mitigate both disclosure-related and nondisclosure-related misconduct. (shrink)

Organizational leaders are eager to unlock the creative potential of followers. Yet, there is growing evidence that creativity can also have a dark side within organizations. Building on research linking creativity and unethical behavior, we develop the construct of creative unethicality—behavior that is both unethical and novel. We draw on social exchange theory to develop a model that identifies both why and when creative unethicality emerges within organizations. Specifically, we investigate the exchange dynamics through which creative support provided by empowering (...) leaders facilitates creative unethicality under conditions of high performance pressure. Across two multi-wave, multi-source field studies with employee-coworker and leader-subordinate dyads and an experimental study with a novel unethicality measure in a business simulation, we find convergent support for our theoretical model. These findings have important theoretical and practical implications for fostering creativity in organizations without simultaneously facilitating creative unethicality. (shrink)

Working memory (WM) is a fundamental cognitive ability to support complex thought, but it is limited in capacity. WM training has shown the potential to make benefit for those in need. Many studies have shown the potential of transcranial direct current stimulation (tDCS) to transiently enhance WM performance by delivering low current to the brain cortex of interest via electrodes on the scalp. TDCS has also been revealed as a promising intervention to augment WM training in a few studies. However, (...) those few tDCS-paired WM training studies focused more on the effect of tDCS on WM enhancement and its transferability after training but paid less attention to the variation of cognitive performance during the training procedure. The current study attempted to explore the effect of tDCS on the variation of performance during WM training in healthy young adults. All the participant received WM training with the load-adaptive verbal N-back task for five days. During the training procedure, active/sham anodal high-definition tDCS (HD-tDCS) was used to stimulate the left dorsolateral prefrontal cortex (DLPFC). To examine the training effect, pre- and post-test were performed respectively one-day before and after the training sessions respectively. At the beginning of each training session, stable-load WM tasks were performed to examine the performance variation during training. Compared to the sham stimulation, higher learning rates of performance metrics during the training procedure were found when WM training was combined with active anodal HD-tDCS. The performance improvements (post-pre) of the active group were also found to be higher than those of sham group and were transferred to a similar untrained WM task. Further analysis revealed that the negative relation between the training improvements and baseline performance. These findings show the potential that tDCS may be leveraged as an intervention to facilitate WM training for those in need of higher WM ability. (shrink)

Slower perceptual alternations, a notable perceptual effect observed in psychiatric disorders, can be alleviated by antidepressant therapies that affect serotonin levels in the brain. While these phenomena have been well documented, the underlying neurocognitive mechanisms remain to be elucidated. Our study bridges this gap by employing a computational cognitive approach within a Bayesian predictive coding framework to explore these mechanisms in depression. We fitted a prediction error (PE) model to behavioral data from a binocular rivalry task, uncovering that significantly higher (...) initial prior precision and lower PE led to a slower switch rate in patients with depression. Furthermore, serotonin‐targeting antidepressant treatments significantly decreased the prior precision and increased PE, both of which were predictive of improvements in the perceptual alternation rate of depression patients. These findings indicated that the substantially slower perception switch rate in patients with depression was caused by the greater reliance on top‐down priors and that serotonin treatment's efficacy was in its recalibration of these priors and enhancement of PE. Our study not only elucidates the cognitive underpinnings of depression, but also suggests computational modeling as a potent tool for integrating cognitive science with clinical psychology, advancing our understanding and treatment of cognitive impairments in depression. (shrink)

Purpose: The cognitive effects of total sleep deprivation on the brain remain poorly understood. Electroencephalography is a very useful tool for detecting spontaneous brain activity in the resting state. Quasi-stable electrical distributions, known as microstates, carry useful information about the dynamics of large-scale brain networks. In this study, microstate analysis was used to study changes in brain activity after 24 h of total sleep deprivation.Participants and Methods: Twenty-seven healthy volunteers were recruited and underwent EEG scans before and after 24 h (...) of TSD. Microstate analysis was applied, and six microstate classes were identified. Topographies and temporal parameters of the microstates were compared between the rested wakefulness and TSD conditions.Results: Microstate class A showed lower global explained variance, frequency of occurrence, and time coverage in TSD than RW, whereas microstate class D displayed higher GEV, frequency of occurrence, and time coverage in TSD compared to RW. Moreover, subjective sleepiness was significantly negatively correlated with the microstate parameters of class A and positively correlated with the microstate parameters of class D. Transition analysis revealed that class B exhibited a higher probability of transition than did classes D and F in TSD compared to RW.Conclusion: The observation suggests alterations of the dynamic brain-state properties of TSD in healthy young male subjects, which may serve as system-level neural underpinnings for cognitive declines in sleep-deprived subjects. (shrink)

The present study aimed to examine the neural mechanisms underlying the ability to process the mental rotation with mirrored stimuli for different depressive tendencies with psychomotor retardation. Using functional near-infrared spectroscopy, we measured brain cortex activation of participants with higher and lower depressive tendencies while performing a left-right paradigm of object mental rotation or a same-different paradigm of subject mental rotation. Behavioral data revealed no differences in reaction time and rotation speed. The fNIRS data revealed a higher deactivation of oxyhemoglobin (...) change for the higher depression group in the perceptual stage of object mental rotation with mirrored stimuli in the superior external frontal cortex, inferior frontal gyrus, premotor cortex, and primary motor cortex. In addition, there existed a significant difference between the two groups in premotor cortex in subject mental rotation with mirrored stimuli. These results suggest that the neural mechanism of higher depression individuals connected with psychomotor retardation exists in the frontal and motor areas when processing object mental rotation with mirrored stimuli, and the motor cortex when processing subject mental rotation. (shrink)

While the current generative paradigm in linguistics leans heavily toward computation, investigations on conscious representations are much welcome. The SOC model examines the acquisition of complex representations in individuals. We note that heterogeneity of representation in populations is a central issue that must be addressed as well. In addition to the self-organizing processes proposed for the individual, interactions among individuals must be incorporated in any comprehensive account of language.

To cope with economic globalization and improve the competitiveness of transnational start-ups, the impact of the work environment and innovation behavior on corporate performance of multinational new ventures is analyzed. First, a model of the interaction among environment, innovation behavior, and enterprise performance is proposed. Then, 296 transnational start-ups in coastal areas are surveyed, and the model results are analyzed. Finally, a series of results are obtained. The results show that from the perspective of psychology, work dynamic organizational learning environment (...) has a positive impact on enterprise performance, and resource environment has a significant positive impact on enterprise performance. Strategic environment also positively affects enterprise performance. Therefore, the working environment of multinational new ventures has a positive impact on firm performance, and the mediating function between the working environment and firm performance is firm innovation behavior. With the research to achieve enterprise innovation of multinational new ventures by improving their response to the dynamic environment, the corporate performance has been greatly promoted, and finally, the new ventures would participate in the international market competition. (shrink)

ObjectiveThis study explores the relationship between physical exercise and school adaptation of junior middle school students and constructs a chain intermediary model through the intermediary role of psychological resilience and sports learning motivation.MethodsUsing the stratified cluster sampling method, 930 junior middle school students in Anhui Province were measured in group psychology by using the physical exercise rating scale, adolescent psychological resilience scale, physical learning motivation scale and school adaptation scale. The statistical software SPSS 23.0 and process plug-in were used for (...) statistical processing, and the common method deviation test was carried out by Harman single-factor control method. Finally, the bootstrap sampling test method and process plug-in were used to test the significance of intermediary effect.Results The direct prediction effect of physical exercise on school adaptation is remarkable ; psychological resilience and sports learning motivation are the intermediary variables of the relationship between physical exercise and school adaptation; psychological resilience and sports learning motivation play a chain mediation role in the relationship between physical exercise and school adaptation. The intermediary effect is composed of three indirect effects: physical exercise → psychological resilience → school adaptation, physical exercise → physical learning motivation → school adaptation, physical exercise → psychological resilience → physical learning motivation → school adaptation.ConclusionsPhysical exercise can directly improve the school adaptation of junior middle school students, which can also affect junior middle school students’ school adaptation indirectly through psychological resilience or sports learning motivation, and it can influence school adaptation through the chain mediation of psychological resilience and sports learning motivation. (shrink)

The social network has become the primary medium of rumor propagation. Moreover, manual identification of rumors is extremely time-consuming and laborious. It is crucial to identify rumors automatically. Machine learning technology is widely implemented in the identification and detection of misinformation on social networks. However, the traditional machine learning methods profoundly rely on feature engineering and domain knowledge, and the learning ability of temporal features is insufficient. Furthermore, the features used by the deep learning method based on natural language processing (...) are heavily limited. Therefore, it is of great significance and practical value to study the rumor detection method independent of feature engineering and effectively aggregate heterogeneous features to adapt to the complex and variable social network. In this paper, a deep neural network- based feature aggregation modeling method is proposed, which makes full use of the knowledge of propagation pattern feature and text content feature of social network event without feature engineering and domain knowledge. The experimental results show that the feature aggregation model has achieved 94.4% of accuracy as the best performance in recent works. (shrink)

Personality disorders are usually treated with face-to-face sessions and/or digital mental health services. Among many schools of therapies, schema therapy stands out because rather than simply targeting the symptoms of PD, it cordially targets the cause of PD and heals the early maladaptive schema, thus is exceptionally good at soothing emotional disturbances before enacting cognitive restructuring, resulting in long-term efficacy. However, according to Piaget’s genetic epistemology, the unmet needs lie in the fact that the schemata that determine the adaptive behavior (...) can only be formed in the interaction with the real world that the patient is living in and reconsolidated by the feedback from the object world upon the patient’s newly-formed behavior. Therefore, in order to reshape the patient’s schema modes to support adaptive behavior and regain emotional regulation capabilities of the healthy adult, one may have to reconstruct the object world surrounding the patient. Metaverse, the bestowed successor to the Internet with the cardinal feature of “the sense of full presence,” can become a powerful tool to reconstruct a new object world for the patient with the prescription of a psychotherapist, so as to transform the treatment techniques in schema therapy into the natural autobiographical experiences of patients in the new object world, thus gradually reshape the patient’s schema modes that can ultimately result in an adaptive, and more inclusive, interaction with the real world. This work describes the underlying theory, the mechanism, the process, and ethical considerations of such promising technology for the not-too-far future. (shrink)

With the intensification of COVID-19 epidemic, it becomes prominent to discuss the issue about the influence of psychological contract breach on job performance of new generation of employees. Based on social exchange theory, fairness theory, and conservation of resource theory, this study constructed a relationship model between psychological contract breach and job performance of new generation of employees with considering the mediating effect of job burnout and the moderating effect of past breach experience. Our hypotheses were tested using data from (...) 235 respondents working in Yunnan Province, China. The results were as follows: first, psychological contract breach had a significant negative effect on job performance of new generation of employees, whether in the whole sample or in two grouped samples; second, both in the overall sample and the grouped sample of state-owned enterprises, job burnout partially mediated the negative relationship between psychological contract breach and job performance of new generation of employees, and past experience of breach positively moderated the negative relationship between psychological contract breach and job performance of new generation of employees; third, in the grouped sample of non-state-owned enterprises, job burnout did not play a significant mediating role in the relationship between psychological contract breach and job performance of new generation of employees, and past breach experience did not play a significant moderating role in this relationship. These findings uncover the psychological mechanism underlying work performance of new generation of employees, and also provide useful theoretical reference for management practices of new generation of employees among different natures of enterprises. (shrink)

The identification and analysis of the spatiotemporal dynamic traffic patterns in citywide road networks constitute a crucial process for complex traffic management and control. However, city-scale and synchronal traffic data pose challenges for such kind of quantification, especially during peak hours. Traditional studies rely on data from road-based detectors or multiple communication systems, which are limited in not only access but also coverage. To avoid these limitations, we introduce real-time, traffic condition digital maps as our input. The digital maps keep (...) spatiotemporal urban traffic information in nature and are open to access. Their pixel colors represent traffic conditions on corresponding road segments. We propose a stacked convolutional autoencoder-based method to extract a low-dimension feature vector for each input. We compute and analyze the distances between vectors. The statistical results show different traffic patterns during given periods. With the actual data of Chongqing city, we compare the feature extraction performance between our proposed method and histogram. The result shows our proposed method can extract spatiotemporal features better. For the same data set, there is little difference in the number distribution of red pixels found in the statistics result of the histogram, while differences do exist in the results of our proposed method. We find the most fluctuated morning is on Friday; the most fluctuated evening is on Tuesday; and the most stable evening is on Wednesday. The distance captured by our method can represent the evolution of different traffic conditions during the morning and evening peak hours. Our proposed method provides managers with assistance to sense the dynamics of citywide traffic conditions in quantity. (shrink)

Anxious major depressive disorder is a common subtype of major depressive disorder; however, its unique neural mechanism is not well-understood currently. Using multimodal MRI data, this study examined common and specific alterations of amygdala subregions between patients with and without anxiety. No alterations were observed in the gray matter volume or intra-region functional integration in either patient group. Compared with the controls, both patient groups showed decreased functional connectivity between the left superficial amygdala and the left putamen, and between the (...) right superficial amygdala and the bilateral anterior cingulate cortex and medial orbitofrontal cortex, while only patients with anxiety exhibited decreased activity in the bilateral laterobasal and superficial amygdala. Moreover, the decreased activity correlated negatively with the Hamilton depression scale scores in the patients with anxiety. These findings provided insights into the pathophysiologic processes of anxious major depressive disorder and may help to develop new and effective treatment programs. (shrink)

ObjectiveThe aim of our study was to investigate abnormal changes in brain activity in patients with persistent postural-perceptual dizziness using magnetoencephalography.MethodsMagnetoencephalography recordings from 18 PPPD patients and 18 healthy controls were analyzed to determine the source of brain activity in seven frequency ranges using accumulated source imaging.ResultsOur study showed that significant changes in the patterns of localization in the temporal-parietal junction were observed at 1–4, 4–8, and 12–30 Hz in PPPD patients compared with healthy controls, and changes in the frontal (...) cortex were found at 1–4, 80–250, and 250–500 Hz in PPPD patients compared with controls. The neuromagnetic activity in TPJ was observed increased significantly in 1–4 and 4–8 Hz, while the neuromagnetic activity in frontal cortex was found increased significantly in 1–4 Hz. In addition, the localized source strength in TPJ in 1–4 Hz was positively correlated with DHI score, while the localized source strength in frontal cortex in 1–4 Hz was positively correlated with HAMA score.ConclusionOur results demonstrated that alterations in the TPJ and frontal cortex may play a critical role in the pathophysiological mechanism of PPPD. The neuromagnetic activity in TPJ may be related to dizziness symptom of PPPD patients, while the neuromagnetic activity in frontal lobe may be related to emotional symptoms of PPPD patients. In addition, frequency-dependent changes in neuromagnetic activity, especially neuromagnetic activity in low frequency bands, were involved in the pathophysiology of PPPD. (shrink)

本书研究了西方科学哲学中的八个主要问题,即:认知意义的判断标准、归纳与验证、科学说明模型及其问题、科学的发展模式、科学划界、科学实在论、科学与价值、社会科学哲学。.

在世纪之交的重要历史时刻,我国学者聚会北京,深入探究科学精神。学者闪观点鲜明,思想犀利,讨论内容既涉入到中外科学精神的研究历史、现状,又函盖了科学精神的本质及弘扬科学精神的现实意义。这是我国自然科学和 社会科学界的知名学者第一次对科学精神进行科学的研究。.

本书包括:进学赖三迁慕贤定一生;诉空位而超越立“仁宅”则无敌;乐天以知命生生而不息等内容。.

di 1 juan. "Dao jing" jie du -- di 2 juan. "De jing" jie du -- di 3 juan. Zhe xue su yuan -- di 4 juan. Lun li xue he zheng zhi xue -- di 5 juan. Ren shi lun he jiao yu guan.

本书以教师与学生对话的方式就科学发展的社会背景和影响科技发挥作用的社会因素,科学技术进步对社会经济发展的影响,科学与社会相互关系的调节控制等一系列重大事件和问题展开讨论。.

Shang juan. di 1 bu Li yu wu, di 2 bu Di guo yu guo jia -- Xia juan. di 1 bu Gong li yu fan gong li, di 2 bu Ke xue hua yu gong tong ti.

本书介绍了90年代的前沿科学,探索了科学发展的状况和趋势,包括物理学、激光技术、计算机和机器人、宇宙学、超循环理论、航天技术、海洋科学、化学、生物学、医学、心理学、伦理学等,提出了这些领域的前沿问题和 解决方式。.

The Tao Te Ching by Laozi is the philosophical inception of all Chinese thoughts and concepts. As its disparate versions, it is very hard to backtrack to the very original meaning of the Tao Te Ching. There are three most important versions of the Tao Te Ching: the original Wang Bi's version, the silk book (versions A and B) and the Chu Jian version. The preferred version of Laozi is the original Wang Bi's version. This edition is mainly based on (...) Chu Jian and Version A of the silk book, with supplement of the text of Version B. If the supplement is incomplete, this book uses Wang Bi's version. Both Version A of the silk book and Chu Jian were before the Western Han Dynasty. It was the period when Laozi rescued the highest prestige and Confucianism was in the doldrums. They were not tampered with by the emperor and Confucianism. It is the intention of the author that readers should not believe in the correction and proofreading of Confucian scholars and materialist dialectics. (shrink)

本书包括:系统自然观、演进自然观、生态自然观、科学技术观、历史科学技术观、社会科学技术观等.