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Traditionally, debates over the issue of representation in liberalism and in socialism focused on such questions as who or whose interests should be represented in order to attest to the legitimacy of representation. In this article, a different and more fundamental approach is achieved by asking how the representation is accomplished. At this methodological point, liberalism and socialism diverge in their understanding of representative government: Each follows its own philosophical paradigm(s) that underly and justify its position. Differences between liberal and (...) socialist understandings of representation are analytically compared in three pairs of categories: (a) micro versus macro, (b) individual versus class, and (c) the formalistic versus the substantive. The most crucial differences between the social systems are found in the last pair of categories-the formalistic versus the substantive approach to representation—because different understandings of central concepts such as democracy, freedom, and equality stem from these two frameworks. (shrink)

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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)

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Since the sudden outbreak of the coronavirus disease 2019 epidemic in 2020, the second language learning patterns of students in mainland China have encountered new challenges that have had a psychological impact on mainland Chinese students. The epidemic has not only inconvenienced students’ normal second language learning but also greatly affected the second language learning patterns of mainland Chinese students. In the post-epidemic era, more and more students are becoming accustomed to studying and learning a second language online. The level (...) of informatization of second language learning patterns of students in mainland China has increased significantly. This study first analyses the mechanisms of change in second language learning patterns and further analyses the influence of knowledge background on the perception of second language learning patterns on this basis. To design the influencing factors of second language learning patterns, a questionnaire was used to investigate the influence of knowledge background on the perception of second language learning patterns. The survey was conducted on students who were learning a second language in mainland China. Then, the survey data were statistically analyzed. In analyzing the influence of effect on second language learning behaviors of students in mainland China, observed variables were designed, including observed variables of affective factors and learning behaviors. After that, the findings of the experiment were summarized based on the results of the questionnaire survey, and the positive influence of emotional factors on second language learning behaviors of mainland Chinese students in the post-development era was concluded. (shrink)

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With the spread of the COVID-19 pandemic worldwide, university teachers are coping with and adjusting to online teaching platforms. In this concurrent mixed-methods study, 10 science and technology universities as the research sites were first chosen, and educational planning in these sites during the pandemic was examined; then, eight selected teacher participants in these sites were interviewed to report how their beliefs and practices changed during the pandemic echoing the examined educational planning. The results show that educational planning and policies (...) assisted teachers in accommodating the new demands and changes during the pandemic; teachers' beliefs and practices generally echoed the educational planning and policies, with certain tensions still existing. The discussion part of the study is centered around emergency remote teaching and planning, tensions between teacher beliefs and practices, and the shift from emergency remote teaching to regular, sustainable online schooling. The study provides administrators and teacher educators with insights on how emergency remote teaching can be planned and implemented during an unprecedented time. (shrink)

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With the rapid development of Internet of Things technology, RFID technology has been widely used in various fields. In order to optimize the RFID system hardware deployment strategy and improve the deployment efficiency, the prediction of the RFID system identification rate has become a new challenge. In this paper, a neighborhood rough set and random forest combination model is proposed to predict the identification rate of an RFID system. Firstly, the initial influencing factors of the RFID system identification rate are (...) reduced using neighborhood rough set theory combined with the principle of heuristic attribute reduction of neighborhood weighted dependency, thus obtaining a kernel factor subset. Secondly, a random forest prediction model is established based on the kernel factor subset, and a confusion matrix is established using out-of-bag data to evaluate the prediction results. The test is conducted under the constructed RFID experimental environment, whose results showed that the model can predict the identification rate of the RFID system in a fast and efficient way, and the classification accuracy can reach 90.5%. It can effectively guide the hardware deployment and communication parameter protocol setting of the system and improve the system performance. Compared with BP neural network and other prediction models, NRS-RF has shorter prediction time and faster calculation speed. Finally, the validity of the proposed model was verified by the RFID intelligent archives management platform. (shrink)

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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)

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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)

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This paper examines the effect of financial shared service centers (FSSCs) on corporate misconduct. Using a sample of Chinese public companies with hand-collected FSSC data, we find that the adoption of FSSCs is negatively associated with the likelihood and frequency of corporate misconduct. The results hold to a battery of robustness tests. Moreover, we show that the negative association between FSSCs and corporate misconduct is more pronounced in firms that have no management equity ownership, disclose internal control weaknesses, and have (...) more subsidiaries. Additional analyses indicate that FSSCs can help mitigate both disclosure-related and nondisclosure-related misconduct. (shrink)

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Research on abusive supervision is imbalanced in two ways. First, with most research attention focused on the destructive consequences of abusive supervision, there has been relatively little work on subordinate-related predictors of perceptions of abusive supervision. Second, with most research on abusive supervision centered on its main effects and the moderating effects of supervisor-related factors, there is little understanding of how subordinate factors can moderate the main effects of perceptions of abusive supervision on workplace outcomes. The current study aims to (...) advance knowledge of the roles of subordinates in the formation of and reactions to perceptions of abusive supervision. Specifically, based on victim precipitation theory, the authors examined subordinates’ personality traits and self-reports of task performance as antecedents of perceptions of abusive supervision. The results show that subordinates high in neuroticism or low in conscientiousness had high levels of perceived abusive supervision partially through their self-reported deleterious job performance. In addition, the authors investigated the moderating effect of subordinates’ personality on the relationship between perceptions of abusive supervision and subordinates’ interpersonal deviance. Consistent with trait activation theory, subordinates low in both agreeableness and extraversion were more likely to engage in deviant behaviors in response to perceptions of abusive supervision than subordinates high in either or both agreeableness and extraversion. (shrink)

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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)

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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)

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The integrated scheduling algorithm of process sequence time-selective strategy is an advanced algorithm in the field of integrated scheduling. The proposed algorithm points out the shortcomings of the process sequence time-selective strategy. Generally, there are too many “trial scheduling” times. The authors propose that there is no need to make “trial scheduling” at every “quasi-scheduling time point.” In fact, the process scheduling scheme can be obtained by trial scheduling on some “quasi-scheduling time points.” The scheduling result is the same as (...) that of the sequence timing strategy. The proposed algorithm reduces the runtime of scheduling algorithm and improves the performance of the algorithm without reducing the optimization effect. (shrink)

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Facial expressions are a vital way for humans to show their perceived emotions. It is convenient for detecting and recognizing expressions or micro-expressions by annotating a lot of data in deep learning. However, the study of video-based expressions or micro-expressions requires that coders have professional knowledge and be familiar with action unit coding, leading to considerable difficulties. This paper aims to alleviate this situation. We deconstruct facial muscle movements from the motor cortex and systematically sort out the relationship among facial (...) muscles, AU, and emotion to make more people understand coding from the basic principles: We derived the relationship between AU and emotion based on a data-driven analysis of 5,000 images from the RAF-AU database, along with the experience of professional coders.We discussed the complex facial motor cortical network system that generates facial movement properties, detailing the facial nucleus and the motor system associated with facial expressions.The supporting physiological theory for AU labeling of emotions is obtained by adding facial muscle movements patterns.We present the detailed process of emotion labeling and the detection and recognition of AU.Based on the above research, the video's coding of spontaneous expressions and micro-expressions is concluded and prospected. (shrink)

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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)

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Conventional wisdom suggests mid-task rest as a potential approach to relieve the time-on-task (TOT) effect while accumulating evidence indicated that acute exercise might also effectively restore mental fatigue. However, few studies have explored the neural mechanism underlying these different break types, and the results were scattered. This study provided one of the first looks at how different types of fatigue-recovery break exerted influence on the cognitive processes by evaluating the corresponding behavioral improvement and neural response (EEG power spectral) in a (...) sustained attention task. Specifically, 19 participants performed three sessions of psychomotor vigilance tasks (PVT), with one session including a continuous 30-min PVT while the other two sessions additionally inserted a 15-min mid-task cycling and rest break, respectively. For behavioral performance, both types of break could restore objective vigilance transiently, while subjective feeling was only maintained after mid-task rest. Moreover, divergent patterns of EEG change were observed during post-break improvement. In detail, relative theta decreased and delta increased immediately after mid-task exercise, while decreased delta was found near the end of the rest-inserted task. Meanwhile, theta and delta could serve as neurological indicators to predict the reaction time change for exercise and rest intervention, respectively. In sum, our findings provided novel evidence to demonstrate divergent neural patterns following the mid-task exercise and rest intervention to counter TOT effects, which might lead to new insights into the nascent field of neuroergonomics for mental fatigue restoration. (shrink)

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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)

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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)

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Actuator saturation phenomenon often exists in the actual control system, which could destroy the closed-loop performance of the system and even lead to unstable behavior. Our main contribution is to provide an antiwindup recursive dynamic surface control for a discrete-time system with an unknown state and actuator saturation. The fuzzy compensator is added to perform as an active disturbance rejection term in the feedforward path to avoid windup caused by input saturation. To construct output feedback control, the system is transformed (...) into the form of pure-feedback and an improved HOSM observer is designed to carry out future output prediction. Based on which RDSC is synthesized, only one fuzzy logic system is used and the controller singularity is completely avoided. In addition, the simulation and numeral examples using a continuous stirred tank reactors system with actuator saturation are provided and the results show that the strategy owns good robustness and effectively compensates for the disturbance caused by actuator saturation in the presence of a discrete-time system with an unmeasurable state. (shrink)

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Introduction: Few studies are available on the prevalence and sleep-related factors of dementia with Lewy bodies (DLB) in Chinese older adults, aiming to explore the associations between sleep characteristics and DLB.Methods: A cross-sectional study with 7,528 individuals aged ≥65 years in 106 communities in Northern China was conducted from April 2019 to January 2020. Questionaries (including demographic characteristics, comorbidities, lifestyles, and sleep characteristics) were administered, and neuropsychological assessments and physical examination were conducted in phase I; screening for probable DLB was (...) done in phase II. Logistic regressions were used to assess associations.Results: A total of 919 (12.2%, 919/7,528) participants had dementia, and 101 (1.3%, 101/7,528) participants were diagnosed with DLB. The prevalence of dementia and DLB were slightly higher or equal in women, increased with age, and roughly decreased with nighttime sleep duration. Of the 101 participants, all of them (100.0%) had cognitive impairment, 46 (44.54%) displayed fluctuating cognition, 72 (71.29%) of them showed visual hallucination, 22 (21.78%) individuals reported RBD, and 27.71% showed Parkinsonism. Sleeping for 8 h had combined diagnostic value for DLB (AUC = 0.783, 95%CI: 0.734–0.831, p< 0.001).Conclusions: The current prevalence of DLB is 1.3% in Northern China. Short or long nighttime sleep duration is independently associated with the occurrence of dementia and DLB. (shrink)

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_Objective_: Genetic variation, especially polymorphism of the dopamine D4 receptor gene (DRD4), has been linked to deficits in self-regulation and executive functions and to attention deficit hyperactivity disorder (ADHD), and is related to the structural and functional integrity of the default mode network (DMN), the executive control network (ECN) and the sensorimotor network (SMN). The aim of this study was to explore the effects of the 2-repeat allele of the DRD4 gene on brain network connectivity and behaviors in children with (...) ADHD. _Methods_: Using independent component analysis (ICA) and dimension analyses, we examined resting-state functional magnetic resonance imaging (fMRI) data obtained from 52 Asian medicine-naive children with ADHD (33 2-repeat absent and 19 2-repeat present). _Results_: We found that individuals with 2-repeat absent demonstrated increased within-network connectivity in the right precuneus of the DMN, the right middle frontal gyrus (MFG) of the SMN compared with individuals with 2-repeat present. Within the ECN, 2-repeat absent showed decreased within-network connectivity in the left inferior frontal gyrus (IFG) and the left anterior cingulate cortex. A deeper study found that connectivity strength of the left IFG was directly proportional to the Stroop reaction time in 2-repeat absent group, and as well as the right MFG in 2-repeat present group. _Conclusion_: Polymorphisms of the DRD4 gene, specifically 2-repeat allele, had effects on the ECN, the SMN and the DMN, especially in the prefrontal cortex (PFC) circles. ADHD children with DRD4 2-repeat allele have aberrant resting-state within-network connectivity patterns in the left IFG and the right MFG related to dysfunction in inattention symptom. This study provided novel insights into the neural mechanisms underlying the effects of DRD4 2-repeat allele on ADHD. (shrink)

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PurposeThe COVID-19 pandemic that began in 2019 has had a significant impact on people’s learning and their lives, including a significant increase in the incidence of academic procrastination and negative emotions. The topic of how negative emotions influences academic procrastination has been long debated, and previous research has revealed a significant relationship between the two. The purpose of this study was to further investigate the mediating and buffering effects of online-shopping addiction on academic procrastination and negative emotions.MethodsThe researchers conducted a (...) correlation analysis followed by a mediation analysis and developed a mediation model. The study used stratified sampling and an online questionnaire as the data collection method. In this study, first, five freshmen students at vocational and technical colleges in Guangdong Province, China, were called to distribute the questionnaire. Second, after communicating with them individually, first-year students of Guangdong origin were selected as participants. Finally, 423 freshman students participated by completing the questionnaire. The questionnaire consisted of 4 parts: demographic information, an online-shopping-addiction scale, an academic-procrastination scale and a negative-emotions scale. A total of 423 students, 118 males and 305 females from 10 vocational and technical colleges in Guangdong were surveyed. SPSS 25.0 was used to process and analyze the data. The data collected were self-reported.ResultsThe results showed that: first, academic procrastination was significantly and positively associated with online-shopping addiction. Second, academic procrastination was significantly and positively associated with negative emotions. Third, online-shopping addiction was significantly and positively associated with negative emotions. In addition, academic procrastination had a significant positive predictive effect on online-shopping addiction. Online-shopping addiction had a significant positive predictive effect on negative emotions.ConclusionThis study explored the relationship between students’ academic procrastination, negative emotions, and online-shopping addiction during the COVID-19 pandemic. The results indicated that students’ level of academic procrastination positively influenced their level of online-shopping addiction and negative emotions, and their level of online-shopping addiction increased their negative emotions. In addition, there was a mediating effect between the degree of participants’ online-shopping addiction and their degree of academic procrastination and negative emotions during the pandemic. In other words, with the mediating effect of online-shopping addiction, the higher the level of a participant’s academic procrastination, the more likely that the participant would have a high score for negative emotions. (shrink)

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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.

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This study examines the mobile phone practices of rural left-behind children whose one or both parents migrate to cities for better earnings and the impact of such practices on migrant families in China. The study has used ethnographic approach by conducting participant observations and interviews of 21 LBC, residing in Guangren village, south China's Guangxi Autonomous Region. The study uses domestication theory to analyze these LBC's adoption of mobile phones in their daily routines and spaces in and out of their (...) households. The key findings are as follows: the LBC used mobile phones primarily to engage with their distant parent; through collaborative efforts, they tried to enhance familial connections; and they overcome the separation issue by co-participating in ongoing events, thus making the domestication of mobile phone a distant solving of real-world problems faced by migrant parent and their LBC. The study concludes that LBC's innovative uses of mobile phones empowered them by building shared virtual space with their migrant parent, via which they handled the separation issue. In such shared virtual spaces, LBC's families have developed rich expressions of familial connections in various forms based on the limited perpetuate connectedness. (shrink)

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BackgroundAthletes will increase their state anxiety under stress situations, which will lead to the decline of sports performance. The improvement of anxiety by probiotics has been reported, but there is a lack of research in the athlete population. The purpose of the current study is to explore the effectiveness of probiotics in improving athletes’ state anxiety and sports performance under stress situations.MethodsWe conducted this single-arm study in Chongqing Institute of Sports Technology. In the 8-week study, 21 Chongqing young divers were (...) given probiotic Bifidobacterium animalis subsp. lactis BB-12 daily. The state anxiety and sports performance of athletes were measured before, during, and after the intervention, and the gut microbiota of athletes was measured before and after the intervention.ResultsThe intervention results showed that cognitive state anxiety, somatic state anxiety, and anxiety emotion were improved. In terms of gut microbiota, the intervention did not change the gut microbial composition but increased the abundance of Bifidobacteriaceae. At the 8th week, the performance of athletes under stress was significantly improved.LimitationsFirst of all, due to the restriction of the number of subjects in this study, there was no control group. Secondly, although the athletes’ diet was recorded in this study, the influence of this factor on gut microbiota was not eliminated. Finally, the anxiety level of the athletes in this study was obtained through a self-report, lacking physiological data in state anxiety.ConclusionThe results show that probiotics intervention can improve the state anxiety of athletes under stress situation and improve the performance of athletes under stress situation. (shrink)

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