X. Wang

Ongoing electroencephalography signals are recorded as a mixture of stimulus-elicited EEG, spontaneous EEG and noises, which poses a huge challenge to current data analyzing techniques, especially when different groups of participants are expected to have common or highly correlated brain activities and some individual dynamics. In this study, we proposed a data-driven shared and unshared feature extraction framework based on nonnegative and coupled tensor factorization, which aims to conduct group-level analysis for the EEG signals from major depression disorder patients and healthy controls when freely listening to music. Constrained tensor factorization not only preserves the multilinear structure of the data, but also considers the common and individual components between the data. The proposed framework, combined with music information retrieval, correlation analysis, and hierarchical clustering, facilitated the simultaneous extraction of shared and unshared spatio-temporal-spectral feature patterns between/in MDD and HC groups. Finally, we obtained two shared feature patterns between MDD and HC groups, and obtained totally three individual feature patterns from HC and MDD groups. The results showed that the MDD and HC groups triggered similar brain dynamics when listening to music, but at the same time, MDD patients also brought some changes in brain oscillatory network characteristics along with music perception. These changes may provide some basis for the clinical diagnosis and the treatment of MDD patients.

As one of the greatest thinkers in ancient China, Zhu Xi was renowned for his philosophy but his achievements in historiography occupied an important position in traditional China as well. However, Zhu Xi’s historiography were only implied, but has not been discussed enough yet in comparison to his various works on philosophy. This thesis would like to focus on Zhu Xi’s historiography as a core topic to certify that Zhu Xi’s achievement on this field not only played an irreplaceable role among the grand system of his philosophy, but also on behalf of a special and significant historiographical sample in Chinese historiography that can be called “Neo-Confucian philosophy of history”. To achieve this aim, the thesis is divided into three parts. Their titles are “The Substance of Zhu Xi’s Historiography”, “The Functions of Zhu Xi’s Historiography ” and “The Functions of Zhu Xi’s Historiography ”. Zhu Xi’s historiography inherited “Three generations” and Confucius’ classics, and formed his philosophy on history, so it is the substance. Zhu Xi’s historiography also has many functions and expressions such as elucidate the way of running the state, establish the system and views on talents, which make his conception on history comes true, and really have positive effects on the society, so there are called the functions. More importantly, Zhu Xi’s great insight on history can be directly expressed via his writings and discussions, all of which were embodied in his works and discourses of historiography. In these three parts, the contents and spirits of Zhu Xi’s historiography can be described deeply and entirely, also seem to be more methodic.

Crowdsourcing innovation community has become an important platform for enterprises to gather group wisdom. However, how the crowdsourcing innovation community plays a reference role in creative crowdsourcing participation is unclear. Based on the reference group theory, taking online impression management as the explanatory framework, this study explores the impact of crowdsourcing innovation community reference on the creative territory behavior, and the differences in the crowdsourcing innovation community reference effect among members of different community age groups. A total 524 valid two-stage questionnaires were collected. The empirical analysis results show that under the influence of informational reference and utilitarian reference of the crowdsourcing innovation community, community members are significantly more likely to adopt acquired impression management than defensive impression management ; under the influence of value expressive reference of the crowdsourcing innovation community, the possibility of adopting DIM behavior is significantly greater than that of adopting AIM behavior; compared with DIM behavior, AIM behavior has a more inhibitory effect on creative territory behavior. Interestingly, there are different community reference effects among members of different community age groups. In particular, the positive contribution of the elder members is not as good as that of the newcomers. The above research conclusions not only confirm the influence of crowdsourcing community reference on crowd participation decision making but also provide theoretical and practical enlightenment for exploring the cooperation mechanism of crowdsourcing innovation.

Nonlinear time series denoising is the prerequisite for extracting effective information from observation sequence. An effective chaotic signal denoising method not only has a good signal-to-noise ratio enhancement performance, but also can remain as a good unpredictable denoised signal. However, the inherent characteristics of chaos, such as extreme sensitivity to initial values and broadband spectrum, pose challenges for noise reduction of polluted chaotic signals. To address these issues, an adaptive smoothing multiscale morphological filtering is proposed to reconstruct chaotic signals. In the process of noise reduction for contaminated chaotic signals, firstly, a multiscale morphological filter is constructed adaptively according to the multiscale permutation entropy of morphological filter residuals, and the contaminated signals are filtered. Secondly, the weight coefficients of scale structural element are calculated by the residual sum of squares operation, and the chaotic signals are reconstructed. Finally, the resampled filter signals are smoothed by cubic B-spline interpolation operation. In the experiment, the Lorenz signal with white Gaussian noise, the measured sunspot, and the chaotic vibration signal are reconstructed by four comparison methods. The test results show that the proposed ASMMF method has obvious advantages in noise suppression and topological trajectory restoration.

As of the end of October 2020, the cumulative number of confirmed cases of COVID-19 has exceeded 45 million and the cumulative number of deaths has exceeded 1.1 million all over the world. Faced with the fatal pandemic, countries around the world have taken various prevention and control measures. One of the important issues in epidemic prevention and control is the assessment of the prevention and control effectiveness. Changes in the time series of daily new confirmed cases can reflect the impact of policies in certain regions. In this paper, a smooth transition autoregressive model is applied to investigate the intrinsic changes during the epidemic in certain countries and regions. In order to quantitatively evaluate the influence of the epidemic control measures, the sequence is fitted to the STAR model; then, comparisons between the dates of transition points and those of releasing certain policies are applied. Our model well fits the data. Moreover, the nonlinear smooth function within the STAR model reveals that the implementation of prevention and control policies is effective in some regions with different speeds. However, the ineffectiveness is also revealed and the threat of a second wave had already emerged.

Anxiety is one of the most important affective factors affecting college students' foreign language learning. Especially in the Internet age, new teaching ideas and methods bring new load and anxiety to students' psychology. Taking students who attend a college English online course learning as the research object, this paper analyzes the general situation and professional skills of the students' psychological anxiety under the network environment by using the method of investigation and data analysis. It conceives six methods to reduce the students' psychological anxiety according to the reason analysis and summarizes the more effective ways with data mining of another questionnaire. It points out that teachers can advocate the mode of group learning and peer cooperation, strengthen the timeliness and diversity of tests, increase the richness of extracurricular activities, and increase teachers' and students' quality of online teaching and learning to reduce the anxiety of students' foreign language learning in an online teaching environment.

Resumen: como la moral más importante del pueblo chino, la piedad filial es una parte importante de la cultura tradicional china y ocupa una posición importante en la historia china. El concepto de piedad filial se originó en la dinastía pre - qin, se desarrolló en las dinastías Xia y Shang y prevaleció en la dinastía Zhou Occidental. Confucio primero propuso el concepto de “piedad filial” en el confucianismo. Combinó la “piedad filial” con la “benevolencia” y enumeró el contenido específico de la “piedad filial”. El pensamiento de piedad filial de Mencio también es una herencia del pensamiento de sus predecesores, que combina la piedad filial con ideas como la “teoría de la bondad sexual” y la “política del rey”. También propuso el estándar de “piedad filial”, que es un mayor desarrollo de la “piedad filial” en la dinastía pre - qin. Este artículo intenta comenzar con el pensamiento de piedad filial de algunos representantes del confucianismo pre - qin, analizar el contenido, el desarrollo y la influencia del pensamiento de piedad filial, y analizar el papel y la importancia de la “piedad filial” en la sociedad actual.

Social thought in modern times, in the "modernity" as an empirical value targets and as a "problem" between, there have been several times variation. Contemporary Western society from the post-modern theory, adhere to and develop a modern and conservatism on three different standpoint to reflect modern issues. In the modern quest and modernity reflect the existence of a common demands: liberation. In Modem western social thought, there are several variations between taking 'modernity' as the value that was looked upon and sought after and as an issue of experimental realty. Contemporary social theorists reflect the issue of modernity from three different standpoints: the postmodern standpoint, the conservative standpoint and the standpoint insisting on and enlarging the project of modernity. There are a common concern between the longing for modernization and the reflecting on modernity : emanipation

In recent years, the distributed architecture has been widely adopted by security companies with the rapid expansion of their business. A distributed system is comprised of many computing nodes of different components which are connected by high-speed communication networks. With the increasing functionality and complexity of the systems, failures of nodes are inevitable which may result in considerable loss. In order to identify anomalies of the possible failures and enable DevOps engineers to operate in advance, this paper proposes a two-layer prediction architecture based on the monitoring sequences of nodes status. Generally speaking, in the first layer, we make use of EXPoSE anomaly detection technique to derive anomaly scores in constant time which are then used as input data for ensemble learning in the second layer. Experiments are conducted on the data provided by one of the largest security companies, and the results demonstrate the predictability of the proposed approach.

The micro-level corporate social responsibility (CSR) literature has underscored the economic benefits of an organization's CSR investments, such as bolstering employees' organizational commitment and improving work performance. Yet, research on the potential influence of CSR in fostering socially oriented outcomes among employees has been rather scarce. This study aims to investigate the influence of CSR on employees' internal whistleblowing behaviors and the underlying mechanisms. A three-time-point survey was distributed across the service, manufacturing, construction, and financial insurance industries in Chinese enterprises. The findings reveal that both internal and external CSR positively impact employees' internal whistleblowing behaviors through the mediating role of moral courage, with internal CSR demonstrating a stronger effect. Organizational loyalty positively moderates the mediating role of moral courage in the relationship between internal CSR/external CSR and internal whistleblowing behaviors. Theoretically, this study presents a pioneering endeavor in establishing the link between CSR and employees' internal whistleblowing behaviors, underscoring the significant role that employees' perceptions of CSR play in enhancing societal well-being and ethical governance. Besides contributing to the micro-level CSR literature, this study also provides practical insights for organizations seeking to leverage CSR as a tool for promoting employees' ethical conduct.

Life satisfaction is a research hotspot in positive psychology in recent years. This study uses overseas students as subjects and attempts to examine the effect of place attachment and student life satisfaction on Mainland Chinese students’ word-of-mouth recommendations and their Ambassador Behavioral intention. A survey was systematically conducted in six institutions in Macao. The results of 312 valid data indicate that place dependence has a positive influence on place identity; place identity and place dependence have a positive influence on student life satisfaction; student life satisfaction mediates the influence of the two dimensions of place attachment on WOM and AB intention. Recommendations are provided to improve overseas students’ life satisfaction in the study places. It helps to improve their sense of ownership and actively participate in the construction of the study places.

Alexithymia and emotion regulation are closely related to internet addiction. However, no research has examined how the different components of alexithymia are associated with cognitive emotion regulation in the context of multi-strategy use in internet addiction. The current study aimed to investigate the relation between alexithymia and cognitive emotion regulation in individuals with internet addiction via network analysis. Participants included 560 students with Young’s Internet Addiction Test scores greater than 50 points; they were also asked to complete the Toronto Alexithymia Scale and the Cognitive Emotion Regulation Questionnaire. The results revealed two bridge nodes emerging within the combined alexithymia and cognitive emotion regulation network model: “catastrophizing” and “externally oriented thoughts.” These findings indicate a more specific relation between alexithymia and cognitive emotion regulation and provide empirical evidence for targeted prevention and targeted interventions for internet addiction.

ObjectiveProspective negative imagery is suggested to play an important role in the development and maintenance of anxiety and depression. The Prospective Imagery Task was developed to assess prospective imagery. Given the importance of prospective imagery for mental health in the Chinese cultural context, our objective was to examine the psychometric properties of the PIT in a Chinese sample.MethodsThe instrument was validated among a sample of 1,372 Chinese individuals who completed the PIT immediately following the Beck Depression Inventory-II and State-Trait Anxiety Inventory-Trait version.ResultsThe two-factor structure of the PIT was in line with the original study, with satisfactory reliability and positive correlations with the BDI-II and STAI-T scores. Latent profile analysis revealed a three-class pattern. The measurement invariance indicated that the instrument can be used among different age groups as well as among males and females.ConclusionThe Chinese version of the PIT is a reliable and valid tool to measure prospective imagery, and the positive subscale is meaningful for clinical psychology. Limitations and future research directions are discussed.

Lung nodules are an early symptom of lung cancer. The earlier they are found, the more beneficial it is for treatment. However, in practice, Chinese doctors are likely to cause misdiagnosis. Therefore, deep learning is introduced, an improved target detection network is used, and public datasets are used to diagnose and identify lung nodules. This paper selects the Mask-RCNN network and uses the dense block structure of Densenet and the channel shuffle convolution method to improve the Mask-RCNN network. The experimental results prove that proposed algorithm is extremely effective.

Recently, several studies have demonstrated that tetracyclines, the antibiotics most intensively used in livestock and that are also widely applied in biomedical research, interrupt mitochondrial proteostasis and physiology in animals ranging from round worms, fruit flies, and mice to human cell lines. Importantly, plant chloroplasts, like their mitochondria, are also under certain conditions vulnerable to these and other antibiotics that are leached into our environment. Together these endosymbiotic organelles are not only essential for cellular and organismal homeostasis stricto sensu, but also have an important role to play in the sustainability of our ecosystem as they maintain the delicate balance between autotrophs and heterotrophs, which fix and utilize energy, respectively. Therefore, stricter policies on antibiotic usage are absolutely required as their use in research confounds experimental outcomes, and their uncontrolled applications in medicine and agriculture pose a significant threat to a balanced ecosystem and the well‐being of these endosymbionts that are essential to sustain health.Also watch the Video Abstract.

Background and ObjectiveThere is a paucity of research that has explored “False Alarm” mechanisms. In order to remedy this deficiency in knowledge, the present study used event-related potential technology to reveal the mechanisms underlying False Alarm in response to fear stimuli.MethodsThis study selected snakes as experimental materials and the “oddball paradigm” was used to simulate the conditions of False Alarm. The mechanism underlying False Alarm was revealed by comparing cognitive processing similarities and differences between real snakes and toy snakes.ResultsEvent-related potential findings demonstrated that there was no significant difference between N1 and P2 components induced by real and toy snakes in the early processing stage. Compared with toy snakes, real snakes induced smaller N2 amplitude, larger P3 amplitude, and a shorter P3 latency at the late processing stage. The results of brain topographic mapping analysis showed that the brain regions activated by a real or toy snake were basically the same within the time windows of 110–150 and 220–270 ms, respectively. In the time window of 300–360 and 400–500 ms, the degree of brain regions activation with a real snake was significantly greater than that induced by a toy snake.ConclusionFalse Alarm is caused by the brain’s inability to distinguish, in the early stage of cognitive processing, stimulus objects with similar appearances. When the brain is able to distinguish the differences between different stimulus objects in the late stage of cognitive processing, False Alarm disappears.

Previous studies that explored the impact of task-related variables on translation performance focused on task complexity but reported inconsistent findings. This study shows that, to understand the effect of task complexity on translation process and its end product, performance in translation tasks of various complexity levels needs to be compared in a specific setting, in which more factors are considered besides task complexity—especially students’ translating self-efficacy belief. Data obtained from screen recording, subjective rating, semi-structured interview, and quality evaluation were triangulated to measure how task complexity influenced the translation performance of Chinese students with high and low TSEB. We found that the complex task led to significantly longer task duration, greater self-reported cognitive effort, lower accuracy, and poorer fluency than the simple one among students, irrespective of their TSEB level. Besides, the high-TSEB group outperformed the low-TSEB group in translation accuracy and fluency in both tasks. However, the interaction effect of task complexity and TSEB was not significant, due possibly to weak problem awareness among students. Our study has implications for effectively designing task complexity, getting the benefits of TSEB, and improving research on translation performance.

Judges tend to discount the opinions of others even though advice is often helpful in improving their accuracy. The present research proposes that this phenomenon of advice discounting results from the judges’ confidence in their initial decision and little trust in advice. Furthermore, the degree of advice discounting may be predicted by the combined roles of confidence and trust. Three studies provide evidence for these hypotheses. Participants were very confident in their initial estimation and had little trust in the advice (study 1). The degree of advice discounting decreased when participants felt less confidence in performing difficult tasks compared with easy tasks (study 2) or when participants placed more trust in advice because the advice was from an expert rather than from a novice (study 3). In addition, confidence and trust predicted the degree of advice discounting across three studies. These findings shed new light on the mechanism underlying advice discounting and advice taking by indicating the combined roles of confidence and trust.

The purpose of this study was to evaluate the international scientific output on postpartum depression research during 2000–2020 through a bibliometric analysis and to explore research hotspots, frontiers, and trends in the field of postpartum depression. We searched the Web of Science Core Collection for publications on postpartum depression published between 2000 and 2020. CiteSpace, gCluto, and other software applications were used to analyze the data by year, journal, and country. A total of 2,963 publications were retrieved and 96 countries or regions published related papers. The United States had the largest number of published papers and the highest betweenness centrality, which is the dominant position in the field of postpartum depression. A total of 717 journals published papers, with the Archives of Womens Mental Health ranked first in terms of volume and betweenness centrality. In this study, 31 high-frequency main MeSH terms/subheadings were selected. The high-frequency MeSH terms were clustered into six categories: an overview of depression-related research, diagnostic and screening scales for postpartum depression, epidemiological investigation into postpartum depression, treatment and drug selection for postpartum depression, psychological research on postpartum depression, and etiology, physiopathology, complications, genetics of postpartum depression. Finally, we used strategic diagram to analyze research trends in postpartum depression. This study has identified a continuous significant increase in the publication of PPD articles. Currently, the etiology, physiological pathology, intervention and treatment of complications on PPD are immature, which provides reference for the trend of obstetric psychology.