Immersive 360-degree video has become a new learning resource because of its immersive sensory experience. This study examined the effects of textual and visual cues on learning and attention in immersive 360-degree video by using eye-tracking equipment integrated in a virtual reality head-mounted display. Participants were randomly assigned to one of four conditions: no cues, textual cues in the initial field of view, textual cues outside the initial FOV, and textual cues outside the initial FOV + visual cues. The results (...) showed that the cues helped learners achieve better learning outcomes and spend more time focusing on the areas with cues. In addition, the study found a serious imbalance in the distribution of learners’ attention in each region of the video. The attention directed to textual cues in the initial FOV is much higher than the attention directed to textual cues outside the initial FOV. Adding visual cues can effectively direct attention to textual cues outside the initial FOV and alleviate the imbalance of attention distribution. Consequently, adding cues to immersive 360-degree video can be an appropriate approach to promote learning and guide attention in immersive 360-degree video learning environments. This study provided new insights into the design and development of immersive 360-degree video instructional resources. (shrink)

ObjectiveThe large-scale epidemic of Coronavirus Disease 2019 has triggered unprecedented physical and psychological stress on health professionals. This study aimed to investigate the prevalence and risk factors of burnout syndrome, and the relationship between burnout and depressive symptoms among frontline medical staff during the COVID-19 epidemic in China.MethodsA total of 606 frontline medical staff were recruited from 133 cities in China using a cross-sectional survey. The Maslach Burnout Inventory was used to assess the level of burnout. Depressive symptoms were assessed (...) by the Patient Health Questionnaire Depression.ResultsDuring the COVID-19 pandemic, 36.5% of the medical staff experienced burnout. Personal and work-related factors were independently associated with burnout, including age, family income, having physical diseases, daily working hours, and profession of nurse. The correlation coefficients between the scores of each burnout subscale and the scores of depressive symptoms were 0.57 for emotional exhaustion, 0.37 for cynicism, and −0.41 for professional efficacy.ConclusionsOur findings suggest that the prevalence rate of burnout is extremely high among medical staff during the COVID-19 pandemic, which is associated with other psychological disorders, such as depression. Psychological intervention for medical staff is urgently needed. Young and less experienced medical staff, especially nurses, should receive more attention when providing psychological assistance. (shrink)

Although the relationship between stressors and thriving at work has been established, the linkage between them is still in the early stages of theory development. This study proposed a two-path model, based on Lepine’s stressors-performance model, to analyze the effects of the stressors on the thriving at work. Two complementary mediating paths were proposed, i.e., affective strain and motivation, which were explained using affective events theory and expectancy theory, respectively. Based on the empirical data from 233 employees, the results show (...) that challenge stressors could enhance employees’ positive affect and self-efficacy, thus leading to thriving at work; on the contrary, hindrance stressors would result in negative influences. In addition, it is also found that the effect of affective path tend to be greater than that of motivation path, which could provide a practical guide for organizations to effectively apply stress management and to promote employees thriving at work. (shrink)

Entrepreneurial intention is an important condition for promoting substantive entrepreneurial behavior, which in turn alleviates employment pressure and promotes sustainable economic and social development. Based on national survey data of university students, descriptive statistical analysis of variables and binary logistic regression analysis were used to empirically analyze the factors influencing university students’ entrepreneurial intentions in five aspects, including innate endowment, acquired characteristics, entrepreneurship courses, and entrepreneurial practice, and social support. The regression results showed that both the factors of innate endowment (...) and acquired characteristics passed the significance test. The entrepreneurship course factor had a significant impact on entrepreneurial intention, with the mean value of the number of entrepreneurship courses hitting 1.80, which is much lower than the other subdivision factors, indicating that there is a greater demand for entrepreneurship courses offered by university students, while the actual situation is less than satisfactory. The entrepreneurial practice factor is also an important factor, with an overall mean of 3 or more, and has a significant impact on entrepreneurial intentions, but in comparison, the factor of having an off-campus practice base for entrepreneurial practice has the lowest mean score, which shows that there is some room for improvement in the construction of off-campus practice bases. The social support factor significantly influences the willingness to start a business, and the mean score for each factor is above the medium level. By understanding which students are more willing to start a business and which factors are more likely to influence their willingness to start a business, we can further consider what kind of entrepreneurial skills and entrepreneurship education can lead to high-quality entrepreneurship and employment. (shrink)

Customized bus services are conducive to improving urban traffic and environment, and have attracted widespread attention. However, the problems encountered in the new customized bus mode include the large difference between the basis of customized bus passenger flow data analysis and the basis of the traditional bus passenger flow data analysis, and the difficulty in different vehicle scheduling caused by the combination of traditional and customized bus modes. We propose a customized bus passenger flow analysis algorithm and multi-destination customized bus (...) line capacity scheduling algorithm, and display them in an intuitive way. The experimental results show that the algorithm model established in this paper can basically meet the data requirements of operation and management, and can provide decision support for customized bus line planning. (shrink)

Entrepreneurial intention is an important condition for promoting substantive entrepreneurial behavior, which in turn alleviates employment pressure and promotes sustainable economic and social development. Based on national survey data of university students, descriptive statistical analysis of variables and binary logistic regression analysis were used to empirically analyze the factors influencing university students’ entrepreneurial intentions in five aspects, including innate endowment, acquired characteristics, entrepreneurship courses, and entrepreneurial practice, and social support. The regression results showed that both the factors of innate endowment (...) and acquired characteristics passed the significance test. The entrepreneurship course factor had a significant impact on entrepreneurial intention, with the mean value of the number of entrepreneurship courses hitting 1.80, which is much lower than the other subdivision factors, indicating that there is a greater demand for entrepreneurship courses offered by university students, while the actual situation is less than satisfactory. The entrepreneurial practice factor is also an important factor, with an overall mean of 3 or more, and has a significant impact on entrepreneurial intentions, but in comparison, the factor of having an off-campus practice base for entrepreneurial practice has the lowest mean score, which shows that there is some room for improvement in the construction of off-campus practice bases. The social support factor significantly influences the willingness to start a business, and the mean score for each factor is above the medium level. By understanding which students are more willing to start a business and which factors are more likely to influence their willingness to start a business, we can further consider what kind of entrepreneurial skills and entrepreneurship education can lead to high-quality entrepreneurship and employment. (shrink)

In this paper, a seven-parameter BRDF model with double-peak characteristic, which could fit double-peak data, was adopted to fit the BRDF of Mars simulation soil. At the same time, the three-dimensional figure of the original data of the sample and the three-dimensional curve of the fitted curve were given. The results proved that the model worked well for this type of data. In addition, the experimental data of four kinds of earth sand samples with different roughness were also fitted and (...) analyzed. It was found that the model still had a good fitting effect on such data. At last, the Mars simulation soil and the four kinds of earth sand samples with different roughness were compared horizontally and vertically. Moreover, the double-peak characteristics and other properties of the Mars simulation soil and the earth sand were analyzed under the same and different roughness. (shrink)

Ben shu jie shao le gong zi zhen, wei yuan, yan fu, kang you wei, tan si tong, liang qi chao, chen tian hua, zhang bing lin deng wan qing si xiang jia de zhe xue 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.

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)

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)

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)

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)

BackgroundMore than 15% of Chinese respondents reported somatic symptoms in the last week of January 2020. Promoting resilience is a possible target in crisis intervention that can alleviate somatization.ObjectivesThis study aims to investigate the relationship between resilience and somatization, as well as the underlying possible mediating and moderating mechanism, in a large sample of Chinese participants receiving a crisis intervention during the coronavirus disease 2019 epidemic.MethodsParticipants were invited online to complete demographic information and questionnaires. The Symptom Checklist-90 somatization subscale, 10-item (...) Connor–Davidson resilience scale, and 10-item Perceived Stress Scale were measured.ResultsA total of 2,557 participants were included. Spearman correlation analysis revealed that lower resilience was associated with more somatic symptoms. The conditional process model was proved. The interaction effects between perceived stress and sex predicted somatization.ConclusionResilience is a key predictor of somatization. The mediating effects of perceived stress between resilience and somatization work in the context of sex difference. Sex-specific intervention by enhancing resilience is of implication for alleviating somatization during the coronavirus disease 2019 epidemic. (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)

Residual useful lifetime prediction plays a key role of failure prediction and health management in equipment. Aiming at the problems of residual life prediction without comprehensively considering multistage and individual differences in equipment performance degradation at present, we explore a prediction model that can fit the multistage random performance degradation. Degradation modeling is based on the random Wiener process. Moreover, according to the degradation monitoring data of the same batch of equipment, we apply the expectation maximization algorithm to estimate the (...) prior distribution of the model. The real-time remaining life distribution of the equipment is acquired by merging prior information of real-time degradation data and historical degradation monitoring data. The accuracy of the proposed model is demonstrated by analyzing a practical case of metalized film capacitors, and the result shows that a better RUL estimation accuracy can be provided by our model compared with existing models. (shrink)

本书饱蘸着我军军魂所赋予我们的激情,与战友们一起追忆我军以往的辉煌历程,讴歌我军当今的伟大壮举,憧憬我军未来的丰功伟绩,漫议军人的理想、信仰、道德、信念、气节、情操、奉献、价值。.