Objectives: The corona virus disease-2019 pandemic spread globally, and we aimed to investigate the psychosocial impact on healthcare workers in China during the pandemic.Methods: In this systematic review and meta-analysis, we searched seven electronic databases for cross-sectional studies on psychosocial impact on HWs in relation to COVID-19 from January 1, 2020 to October 7, 2020. We included primary studies involving Chinese HWs during the pandemic, and data were extracted from the published articles. Our primary outcome was prevalence of anxiety, depression, (...) and stress disorders. We pooled prevalence value with their 95% confidence interval using random effect models and assessed study quality on the basis of an 11-item checklist recommended by the Agency for Healthcare Research and Quality. The study protocol was registered in PROSPERO.Results: We identified 25 articles comprising a total of 30,841 completed questionnaires and 22 studies for meta-analysis. The prevalence of anxiety, depression, and stress disorders was 34.4%, 31.1%, and 29.1% for HWs. The pooled prevalence of anxiety disorders for HWs from late January to early February was 46.4%, significantly higher than those in mid-term February and after late February. The pooled prevalence of depression disorders for HWs from late January to early February was 46.5%, significantly higher than those in mid-term February and after late February. HWs working in Hubei Province had a higher prevalence of anxiety and a lower prevalence of depression than those working in other regions. Nurses had a higher prevalence of anxiety and depression than other HWs.Conclusions: About one-third of HWs in China suffered anxiety, depression, and stress at the early epidemic of COVID-19. HWs in Hubei Province, especially nurses, had a higher prevalence of psychological disorders. During the pandemic, a negative psychological state may persist in a proportion of Chinese HWs, fluctuating with the control of the pandemic. The long-term impact should continue to be observed. Attention should be paid to HWs for their psychological impact due to the pandemic.Systematic Review Registration: The study protocol was registered with PROSPERO. (shrink)

Recently, infrared human action recognition has attracted increasing attention for it has many advantages over visible light, that is, being robust to illumination change and shadows. However, the infrared action data is limited until now, which degrades the performance of infrared action recognition. Motivated by the idea of transfer learning, an infrared human action recognition framework using auxiliary data from visible light is proposed to solve the problem of limited infrared action data. In the proposed framework, we first construct a (...) novel Cross-Dataset Feature Alignment and Generalization framework to map the infrared data and visible light data into a common feature space, where Kernel Manifold Alignment and a dual aligned-to-generalized encoders model are employed to represent the feature. Then, a support vector machine is trained, using both the infrared data and visible light data, and can classify the features derived from infrared data. The proposed method is evaluated on InfAR, which is a publicly available infrared human action dataset. To build up auxiliary data, we set up a novel visible light action dataset XD145. Experimental results show that the proposed method can achieve state-of-the-art performance compared with several transfer learning and domain adaptation methods. (shrink)

People are known for good predictions in domains they have rich experience with, such as everyday statistics and intuitive physics. But how well can they predict for problems they lack experience with, such as the duration of an ongoing epidemic caused by a new virus? Amid the first wave of COVID-19 in China, we conducted an online diary study, asking each of over 400 participants to predict the remaining duration of the epidemic, once per day for 14 days. Participants’ predictions (...) reflected a reasonable use of publicly available information but were meanwhile biased, subject to the influence of negative affect and future time perspectives. Computational modeling revealed that participants neither relied on prior distributions of epidemic durations as in inferring everyday statistics, nor on mechanistic simulations of epidemic dynamics as in computing intuitive physics. Instead, with minimal experience, participants’ predictions were best explained by similarity-based generalization of the temporal pattern of epidemic statistics. In two control experiments, we further confirmed that such cognitive algorithm is not specific to the epidemic scenario and that minimal and rich experience do lead to different prediction behaviors for the same observations. We conclude that people generalize patterns in recent history to predict the future under minimal experience. (shrink)

ObjectiveTo elucidate the clinical, radiologic characteristics of Leber’s hereditary optic neuropathy (LHON) associated with the other diseases.Materials and methodsClinical data were retrospectively collected from hospitalized patients with LHON associated with the other diseases at the Neuro-Ophthalmology Department at the Chinese People’s Liberation Army General Hospital (PLAGH) from December 2014 to October 2018.ResultsA total of 13 patients, 24 eyes (10 men and 3 women; mean age, 30.69 ± 12.76 years) with LHON mitochondrial DNA (mtDNA) mutations, were included in the cohort. 14502(5)11778(4)11778 (...) &11696(1)12811(1)11696(1)3460(1). One patient was positive for aquaporin-4 antibody (AQP4-Ab), and two were positive for myelin oligodendrocyte glycoprotein antibody (MOG-Ab). Three patients were associated with idiopathic optic neuritis (ON). Two patients were with compression optic neuropathy. Three patients were with the central nervous system (CNS) diseases. One patient was with proliferative diabetic retinopathy (PDR) and one with idiopathic orbital inflammatory syndrome (IOIS). At the onset, visual acuity (VA) in eighteen eyes was below 0.1, one eye was 0.5, five eyes were above 0.5, while VA in sixteen eyes was below a 0.1 outcome, three eyes experienced moderate vision loss. MRI images showed T2 lesions and enhancement in nine patients who received corticosteroids treatment; additional immune modulators treatment was performed on two patients. None of the patients had relapse during the follow-up time.ConclusionLeber’s hereditary optic neuropathy can be accompanied with multiple-related diseases, especially different subtypes of ON, which were also exhibited with IOIS and compression optic neuropathy for the first time in this cohort. This condition may be a distinct entity with an unusual clinical and therapeutic profile. (shrink)

BackgroundThe neural activity of irritable bowel syndrome patients in the resting state without any intervention has not been systematically studied. The purpose of this study was to compare the resting-state brain functions of IBS patients with healthy controls.MethodsThe published neuroimage studies were obtained from electronic databases including PubMed, EMBASE, PsycINFO, Web of Science Core, CNKI Database, Wanfang Database, VIP Database, and CBMdisc. Search dates were from inception to March 14th, 2022. The studies were identified by the preidentified inclusion and exclusion (...) criteria. Two independent reviewers compiled the studies and evaluated them for quality and bias.ResultsAltogether 22 fMRI studies were included in this review. The risk of bias of the included studies was generally low. The findings indicated that in IBS patients, increased or decreased brain areas were mostly associated with visceral sensations, emotional processing, and pain processing. According to brain network research, IBS may exhibit anomalies in the DMN, CEN, and emotional arousal networks. The fluctuations in emotion and symptoms in IBS patients were associated with alterations in the relevant brain regions.ConclusionThis study draws a preliminary conclusion that there are insufficient data to accurately distinguish the different neurological features of IBS in the resting state. Additional high-quality research undertaken by diverse geographic regions and teams is required to reach reliable results regarding resting-state changed brain regions in IBS. (shrink)

Chinese Hui medicine is a unique Chinese traditional medicine system formed by the integration of traditional Islamic Arabia medicine and China traditional Chinese medicine. It is also the cream of ancient Eastern and Western traditional medicine. Hui medicine is based on its unique concepts of Hui medical philosophy, such as the theory of Zhenyi Vitality and the theory of seven elements. It is the only traditional national medicine developed by inheriting Islamic Arab medical philosophy and integrating Chinese traditional Chinese medical (...) philosophy theory. Hui medicine likes to use the application method characterized by aromatic Hui medicine (also known as ship medicine). It has high traditional treatment effect in Hui orthopedics and traumatology, Hui medicine of brain, Hui medicine of gynecology, Hui medicine of ophthalmology, Hui medicine of dermatology, Hui medicine of anorectal, etc. There is a relatively complete traditional medical system of Hui medicine. The Sinicized Islamic philosophical system guides the philosophical concept of Hui medicine. Hui medicine absorbs and combines the essence of traditional Chinese medicine, which forms the theoretical system of “Zhenyi (True one)”, “Vitality”, “Yin and Yang”, “Qixing”, “Four natures”, “Four body fluids” “Viscera Qi activity” and “Four parts and seven diseases” systems, which have been formed in the diagnosis and treatment of diseases. The characteristics of Hui medicine application are based on the formulation of aromatic drugs, and the nature of cold, hot, dryness, and humidity is conducted for each drug, as well as the drug strength (toxicity) of each drug is graded in grades 1 - 4. Therefore, Hui medicine is a traditional ethnic medicine combined with Chinese and Western medicine. (shrink)

EDITOR’S ABSTRACTThis article presents a counterintuitive view that the rise of Confucianism in the Han dynasty is indebted to the Book of Lord Shang. It analyzes chapter 7, “Opening the blocked,” and shows that the chapter can be read as promoting a combination of force and morality. The sophisticated historical view of this chapter solves apparent contradictions between societies based on family ties, meritocracy, and monarchic power by showing how new levels of social development inevitably open up when old paths (...) are blocked. This dynamic view was abandoned by the followers of Shang Yang but was rediscovered by the Confucian scholar Lu Jia early in the Han dynasty. It is under the impact of this dynamic view that Lu Jia tried to convince the first Han emperor that one can attain the world from horseback but not rule it without an inspiring ideology. The dialectic historical approach presented in “Opening the blocked” chapter remains valid well into our days. (shrink)

Ben shu fen li shi yu wen hua nei han,Shan zong li shi yu wen hua,Dao jiao li shi yu wen hua,Tian ren he yi de si xiang nei han deng duo ge lan mu lai jie shao ru jia si xiang.

本书主要共有五大部分的内容。第一是以易经为代表的东方战略管理哲学思想。第二是东方军事战略管理思想,东方军事战略管理思想主要由治军战略思想和治敌战略思想组成。第三是东方治国战略管理思想,主要论述儒道法等 诸子治国思想以及近代中国治国思想中具有战略意义的管理思想。第四是东方人生战略管理思想,主要论述传统管理思想关于人生目标、理想人格以及人生修养、人生谋略等具有战略性的思想。第五是东方企业战略管理思想,主 要关注东方战略管理思想在当代东方企业经营管理中的运用和发展.

Extant research suggests that workplace ostracism has a detrimental impact on the outcomes of employees. However, very little is known about the impact of workplace ostracism on sleep quality. Therefore, this study aimed to address this gap in the literature. By employing the extended stressor-detachment model, we investigated the mediating role of psychological detachment and the moderating role of coping humor. We used a self-report questionnaire and a time-lagged research design to assess employees’ workplace ostracism, coping humor, psychological detachment, and (...) sleep quality. A total of 403 valid questionnaires were obtained from participants in full-time employment in China. As predicted, the results showed that workplace ostracism is negatively associated with psychological detachment, which in turn, impairs sleep quality. We further found that high levels of coping humor buffer the negative effect of workplace ostracism on psychological detachment and sleep quality. In addition, the moderation effect of coping humor on the relationship between workplace ostracism and sleep quality is mediated by psychological detachment. Finally, based upon the results, we discuss the theoretical implications, provide practical proposals for managers and policymakers, and make suggestions for the direction of further research. Keywords: workplace ostracism, coping humor, psychological detachment, sleep quality, mediated moderation model. (shrink)

Riben Jiuzhou da xue tu shu guan cang you gu xie Huizhou ben "Zhuzi yu lei" yi bai si shi juan. Huizhou ben shang cheng "Chi lu", xia qi li bian, zai yu lu dao yu lei de xing cheng guo cheng zhong chu yu guan jian de di wei, dui xue jie yan jiu zhu xi si xiang de xing cheng guo cheng, Zhu Xi men ren de qing kuang, jin ben "Zhuzi yu lei" de xing cheng guo cheng (...) yi ji zhong gu shi qi gu Han yu bai hua, ti gong le xin de cai liao he xin de shi ye. (shrink)

ABSTRACT In the context of the COVID-19 pandemic, leaders are facing an ethical dilemma and a tense tradeoff between employees’ health and economic performance. From the perspective of employees’ perceptions of the work situation, this study examines the way ethical leadership enhances employee creativity during the COVID-19 pandemic by using leader-member exchange and organizational ethical climate as mediators. The sample included 308 supervisor-employee pairs from 20 high-tech companies in eight provincial regions of China. Structural equation modeling was used to test (...) the proposed hypotheses. Results indicate that ethical leadership can significantly enhance employee creativity through the fully mediating roles of employees’ perceptions of leader-member exchange and organizational ethical climate. Moreover, leader-member exchange affects employee creativity directly as well as indirectly through the mediating role of organizational ethical climate. This study offers insights into the process linking ethical leadership to employee creativity and provides practical suggestions on ways of enhancing employee creativity in situations like the COVID-19 pandemic crisis. (shrink)

As the most frequently used tool for measuring empathy, the Interpersonal Reactivity Index (IRI) is often scored by researchers arbitrarily and casually. Many commonly used IRI scoring approaches and their corresponding measurement models are unverified, which may make the conclusions of subsequent variable relation studies controversial and even misleading. We make the first effort to summarize these measurement models and to evaluate rationality of the common scoring methods of the IRI by confirmatory factor analysis, focusing on model fitting, factor loading, (...) and model-based reliability simultaneously. The results show that most of these models do not fit well, indicating that the scoring approaches of the IRI corresponding to these models may be problematic. Relatively speaking, better scoring approaches of the IRI include summing empathic concern and perspective taking as the total score of the IRI and reporting the score of perspective taking as cognitive empathy. (shrink)

Cardiovascular disease is a major complication of type 2 diabetes mellitus. In addition to traditional risk factors, psychological determinants play an important role in CVD risk. This study applied Deep Neural Network to develop a CVD risk prediction model and explored the bio-psycho-social contributors to the CVD risk among patients with T2DM. From 2017 to 2020, 834 patients with T2DM were recruited from the Department of Endocrinology, Affiliated Hospital of Harbin Medical University, China. In this cross-sectional study, the patients' bio-psycho-social (...) information was collected through clinical examinations and questionnaires. The dataset was randomly split into a 75% train set and a 25% test set. DNN was implemented at the best performance on the train set and applied on the test set. The receiver operating characteristic curve analysis was used to evaluate the model performance. Of participants, 272 were diagnosed with CVD. The developed ensemble model for CVD risk achieved an area under curve score of 0.91, accuracy of 87.50%, sensitivity of 88.06%, and specificity of 87.23%. Among patients with T2DM, the top five predictors in the CVD risk model were body mass index, anxiety, depression, total cholesterol, and systolic blood pressure. In summary, machine learning models can provide an automated identification mechanism for patients at CVD risk. Integrated treatment measures should be taken in health management, including clinical care, mental health improvement, and health behavior promotion. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Images of Women in Chinese Thought and Culture: Writings from the Pre-Qin Period through the Song DynastyXiufen LuImages of Women in Chinese Thought and Culture: Writings from the Pre-Qin Period through the Song Dynasty. Edited by Robin R. Wang. Indianapolis: Hackett Publishing Company, 2003. Pp. xiv + 449.Images of Women in Chinese Thought and Culture: Writings from the Pre-Qin Period through the Song Dynasty, edited by Robin R. (...) Wang, is an excellent collection of English translations from the Classical Chinese of writings on women. As the title indicates, the book starts with writings from before the founding of the Qin, China's first bureaucratic state, in 221 B.C.E., and ends with the Tang and Song dynasties (618-1279 C.E.), a period that has been considered the richest in Chinese history in terms of literature and art production.The anthology includes fifty-four selections arranged in five parts based on a conventionally accepted chronology of the texts. There is a brief introduction at the beginning of each selection that helps familiarize the reader with the texts and the historical and cultural context out of which women's issues have arisen. The first two parts include selections from oracle-bone inscriptions, the earliest Chinese writings ever discovered; texts from the major ancient philosophical schools, such as Confucianism, Daoism, Mohism, and Legalism; and folk literature together with poems by some of the best-known poets of their time. These writings not only encompass the intellectual foundations of Chinese civilization but also provide valuable sources for understanding how perceptions of gender relations have been shaped by the Chinese cosmological and philosophical view of the world. In text number 3, the Classic of Changes (Yijing), women and men are understood as the highest embodiments of yin and yang, the two fundamental forces that characterize the development of the universe. Since these forces are understood as both hierarchical—as they are manifested in the interrelation between the earth and sky—and, more importantly, complementary to each other, women's roles in family and society are thus recognized as distinct from, yet complementary to, those of men.In part 3, the reader is led through the Han (202 B.C.E.-220 C.E.), China's longest-lived dynasty. Writings from this period reveal the processes by which the ancestral wisdom, especially the Confucian Classics, were codified through government-sponsored scholarship. The writings of Dong Zhongshu (195-115 B.C.E.) and The Comprehensive Discussion in the White Tiger Hall (Baihu tong) were two of the texts responsible for the establishment of the official Confucian ideology of the Han. Texts drawn from this period also include works by Ban Zhao (45-114 C.E.), China's first and most influential female historian and scholar. Her writings were originally intended as moral guidance for women and were regarded in Chinese society as key texts in women's education up to the twentieth century.The six selections included in part 4 are comparatively less well known to English readers, except for The Ballad of Mulan, which became popular in the West after the story of Mulan was made into an animated movie in 1998. The other writings in this part have only been translated into English since the 1970s. Among them, [End Page 496] English versions of Family Instructions to the Yan Clan and Women in the Standard Histories were prepared especially for this volume. These writings reveal how Neo-Confucianism and Neo-Daoism became the principal approaches to comprehending the social reality and gender relations following the chaotic disintegration of the Han dynasty, and they help explain the increasing dominance of Confucian ideology and its implications for women.Finally, in part 5, there are included among other selections some well-crafted love stories written in the classical language by eminent men of letters and works by several great poets (both men and women) of the Tang and Song periods. In this section there are writings by some of the most familiar names of the period, such as Bojuyi (772-846 C.E.), Yuan Zhen (779-831 C.E.), and Li Qingzhao (1081-1151 C.E.). These authors have... (shrink)

本书以死亡美学角度为出发点,用充满哲理和诗歌一样的语言,探讨了中西方文化中的生死观念、死亡与崇高、悲剧、宗教、灵魂鬼怪世界的审美关系,并解析了死亡的现代意识和种种自杀现象。.

Attention has been theorized as a system comprising three networks that can be estimated reliably by the attention network test ; the three networks are defined as alerting, orienting, and conflict control. The present study aims to identify the attention networks that are crucial for elite shooting and archery athletes and to examine whether mindfulness training can improve elite athletes' attention networks. We compared the performances in ANT between 62 elite athletes from the Chinese national team of shooting and archery (...) and 49 athletes from a provincial team in China. The results indicate three well-functioned attention networks in both groups, but elite athletes in the national team responded faster overall than athletes in the provincial team. The 62 elite athletes in the national team then received mindfulness training with varied periods ranging from 5 to 8 weeks, after which the ANT was re-administered. After mindfulness training, the elite athletes improved in orienting and conflict control networks compared with their pre-training performances. These results suggest that elite shooting and archery athletes in the national team are more efficient in all three attention networks, which means that they are able to reach the alerting state faster, make better use of environmental information, and suppress interference from distractors more efficiently. Moreover, the orienting and conflict control networks of the elite shooting and archery athletes can be improved by mindfulness training. We conclude that mindfulness practice should be considered as a useful addition to daily training for shooting and archery athletes. (shrink)

In order to better assess the mental health status, combining online text data and considering the problems of lexicon sparsity and small lexicon size in feature statistics of word frequency of the traditional linguistic inquiry and word count dictionary, and combining the advantages of constructive neural network convolutional neural network in contextual semantic extraction, a CNN-based mental health assessment method is proposed and evaluated with the measurement indicators in CLPsych2017. The results showed that the results obtained from the mental health (...) assessment by CNN were superior in all indicators, in which F1 = 0.51 and ACC = 0.69. Meanwhile, ACC evaluated by FastText, CNN, and CNN + Word2Vec were 0.66, 0.67, 0.67, and F1 were 0.37, 0.47, and 0.49, respectively, which indicates the use of CNN in mental health assessment has feasibility. (shrink)

In this study, the focus was on the development of green energy and future prediction for the consumption of current energy sources and green energy development using an improved deep learning algorithm. In addition to the analysis of the current energy consumption used for the natural gas and oil as fuel, deep neural network algorithm is used to train the system as well as to process the data obtained previously, ranging from literature from the year 2003 until the year 2019, (...) for consumption of fuel. Also, using the proposed algorithm to predict the development of green energy consumption till 2030 is presented in terms of solar and wind generators. The resulting study also focuses on depletion of energy currently used or pollution caused because of it. The green energy controlling issue can take effect by using multiple layers of handling different features extracted from different sources and then learning the system to control it.This study aims to take advantage of carbon emissions to reduce their impact and dependence in the future on environmentally friendly renewable energies. Predicting the correct and precise amount of energy consumption and increasing the amount of environmentally friendly energy lead to a healthy ecosystem. The expected green energy consumption in the future is almost 78.25 EJ in 2030 and will be, in total energy average, 56% in 2045. The aim is to reduce dependency on costly and environmentally harmful fuels. (shrink)

Alzheimer’s disease is an example of age-related dementia, and there are still no known preventive or curative measures for this disease. Obesity and associated metabolic changes are widely accepted as risk factors of age-related cognitive decline. Insulin is the prime mediator of metabolic homeostasis, which is impaired in obesity, and this impairment potentiates amyloid-β accumulation and the formation of neurofibrillary tangles. Obesity is also linked with functional and morphological alterations in brain mitochondria leading to brain insulin resistance and memory deficits (...) associated with AD. Also, increased peripheral inflammation and oxidative stress due to obesity are the main drivers that increase an individual’s susceptibility to cognitive deficits, thus doubling the risk of AD. This enhanced risk of AD is alarming in the context of a rapidly increasing global incidence of obesity and overweight in the general population. In this review, we summarize the risk factors that link obesity with AD and emphasize the point that the treatment and management of obesity may also provide a way to prevent AD. (shrink)

Stock price data have the characteristics of time series. At the same time, based on machine learning long short-term memory which has the advantages of analyzing relationships among time series data through its memory function, we propose a forecasting method of stock price based on CNN-LSTM. In the meanwhile, we use MLP, CNN, RNN, LSTM, CNN-RNN, and other forecasting models to predict the stock price one by one. Moreover, the forecasting results of these models are analyzed and compared. The data (...) utilized in this research concern the daily stock prices from July 1, 1991, to August 31, 2020, including 7127 trading days. In terms of historical data, we choose eight features, including opening price, highest price, lowest price, closing price, volume, turnover, ups and downs, and change. Firstly, we adopt CNN to efficiently extract features from the data, which are the items of the previous 10 days. And then, we adopt LSTM to predict the stock price with the extracted feature data. According to the experimental results, the CNN-LSTM can provide a reliable stock price forecasting with the highest prediction accuracy. This forecasting method not only provides a new research idea for stock price forecasting but also provides practical experience for scholars to study financial time series data. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Understanding Confucian Philosophy: Classical and Sung-MingChenyang LiUnderstanding Confucian Philosophy: Classical and Sung-Ming. By Shu-hsien Liu. Westport and London: Praeger, 1998. Pp. xii + 273.Understanding Confucian Philosophy: Classical and Sung-Ming, by Shu-hsien Liu, a leading contemporary Neo-Confucian scholar, aims to present the Confucian tradition [End Page 312] from a contemporary Neo-Confucian perspective and purports to provide some background clues to what has led to the Third Epoch of Confucianism, (...) that is, the emergence of the contemporary Neo-Confucian movement.As its title suggests, the book is divided into two parts. Part 1 deals with Classical Confucianism, and part 2 is a study of Sung-Ming Confucian philosophy. The Classical period begins with an informative chapter on the historical background to the emergence of Confucian philosophy, which is particularly useful if the book is to be used as a university-level text. The historical chapter is followed by chapters on Confucius (Kong Zi), Mencius (Meng Zi), The Great Learning and The Doctrine of the Mean, and the Book of Changes. Part 1 ends with a chapter on the transformation of Confucianism since the Han dynasty. Compared with similar books on Confucian philosophy, the chapter on Confucius appears sketchy, but its treatment of Confucius' central concept, jen (ren), is first-rate, clear, and insightful. The chapter on Mencius is more elaborate. It surveys virtually every key concept of Mencius' philosophy. As with similar works by Chinese scholars, the sheer number of quotations in this chapter may appear excessive to Western readers. Hsün Tzu (Xun Zi), another key classical Confucian philosopher, is only mentioned in passing, although this is not surprising in a book written from a Neo-Confucian perspective; in the Neo Confucian tradition Hsün Tzu is considered unorthodox.The chapter on the Book of Changes is a breath of fresh air in that it has adopted a developmental point of view. The author argues that there are four layers of meaning in the work: it offers a system of mystical symbolism, a system of rational/natural symbolism, a system of cosmological symbolism, and finally a system of ethics/metaphysical symbolism. Professor Liu says of the four systems, "each one succeed[s] the other and yet interpenetrate[s] the other" (p. 74). Overall, Classical Confucianism is analyzed according to three inseparable aspects—spiritual, political, and popular—which define the heritage as well as the burden of this tradition.At first I was a bit surprised to see that the chapter on "The Characteristics and Contemporary Significance of Sung-Ming Neo-Confucian Philosophy" is at the beginning, not at the end, of part 2 on Sung-Ming Neo-Confucian philosophy. But it turns out that this chapter contains a brief survey of some major Neo-Confucian philosophers of the period and serves well as an introduction to part 2. Recognizing Chu Hsi's (Zhu Xi) contribution to the movement of the Second Epoch, Liu spends two chapters out of six on this great Sung philosopher. The chapter on Wang Yang-ming aims "to destroy the myth once and for all that there is no discrepancy between Lu [Hsiang-shan] and Wang and that there is not a close relationship between Wang and Chu [Hsi]" (p. 198). This goes against a widespread (mis)conception that Wang and Chu represent two distinct lines of Neo-Confucianism.Part 2 ends with a chapter on Huang Tsung-hsi (Huang Zongxi), arguably the most liberal of all Sung-Ming Neo-Confucian philosophers. Liu regards Huang as the culmination of an unfinished Sung-Ming Neo-Confucian philosophical tradition, from which the contemporary Neo-Confucian movement should take up the cause. Altogether, part 2 is not as systematic in introducing Sung-Ming Neo-Confucian philosophy as is part 1 on Classical Confucianism. [End Page 313]As a synthesis of various articles previously published by the author over a twenty-five-year period, the book bears both the strengths and the weaknesses of works of this kind: there are in-depth studies focused on specific topics of particular interest in the Neo-Confucian movement, but there is occasionally a lack of smooth transition from one chapter to another or... (shrink)

Using matched four-stage data from 477 team members and their 132 team leaders in Chinese companies, we examined a cross-level model in which group- and individual-focused transformational leadership and their influence on team and member performance from the perspective of multilevel model of motivation in teams. The results indicated that group-focused TFL exerts positive effects through sequential mediation of team efficacy and team process whereas individual-focused TFL has a positive effect on team members' performance through sequential mediation of followers' self-efficacy (...) and individual regulation process. In addition, we also find significant cross-level mediation effects demonstrating that group-focused TFL was positively related to self-efficacy through the mediator of team efficacy, team efficacy was positively related to the individual regulation process through the mediator of the team process, team process was positively related to individual performance through the mediator of the individual regulation process. Theoretical and applied implications are discussed. (shrink)

Global warming and other climate issues seriously threaten global sustainable development. As citizen environmental behavior can have a positive impact on the environment, it is of great theoretical significance and practical reference value to study the impact of psychological distance theory on citizen environmental behavior. This study obtained 2,633 related studies from 1980 to 2020 from the Web of Science as research objects, and used CiteSpace, VOSviewer, Netdraw, and other software programs to perform a bibliometric analysis, which can show the (...) complex relationship implied in the citation, intuitively grasp the development context and hot frontier in this field, and help scholars better study citizen environmental behavior. The results and conclusions are as follows. The related research covered three periods: infancy, growth, and outbreak. Chronologically, the relevant research evolved from building models to analyze the impact of environmental enrichment on human environmental behavior, to studying the motivation behind citizen environmental behavior, and finally to paying attention to sustainable development. A cluster analysis of high-frequency keywords identified three research hotspots: “drivers of psychological distance of environmental change perception on citizen environmental behavior,” “impact of social distance on adolescents’ behavior,” and “construal level theory and citizen green behavior.” Based on these findings, possible future research directions were identified, including changing from a single theory to a combination of multiple theories to comprehensively study citizen environmental protection behavior; analyzing the motivation of citizen environmental behavior and summarizing the general motivation of environmental behavior according to its internal relationship; and determining how to narrow the global psychological distance, strengthen the awareness of the community of human destiny, and explore the establishment of an efficient global climate cooperation mechanism. (shrink)

Uncertainty natural language processing has always been a research focus in the artificial intelligence field. In this paper, we continue to study the linguistic truth-valued concept lattice and apply it to the disease intelligent diagnosis by building an intelligent model to directly handle natural language. The theoretical bases of this model are the classical concept lattice and the lattice implication algebra with natural language. The model includes the case library formed by patients, attributes matching, and the matching degree calculation about (...) the new patient. According to the characteristics of the patients, the disease attributes are firstly divided into intrinsic invariant attributes and extrinsic variable attributes. The calculation algorithm of the linguistic truth-valued formal concepts and the constructing algorithm of the linguistic truth-valued concept lattice based on the extrinsic attributes are proposed. And the disease bases of the different treatments for different patients with the same disease are established. Secondly, the matching algorithms of intrinsic attributes and extrinsic attributes are given, and all the linguistic truth-valued formal concepts that match the new patient’s extrinsic attributes are found. Lastly, by comparing the similarity between the new patients and the matching formal concepts, we calculate the best treatment options to realize the intelligent diagnosis of the disease. (shrink)