Post-stroke depression is a serious complication of stroke that significantly restricts rehabilitation. The use of immersive virtual reality for stroke survivors is promising. Herein, we investigated the effects of a novel immersive virtual reality training system on PSD and explored induced effective connectivity alterations in emotional networks using multivariate Granger causality analysis. Forty-four patients with PSD were equally allocated into an immersive-virtual reality group and a control group. In addition to their usual rehabilitation treatments, the participants in the immersive-virtual reality (...) group participated in an immersive-virtual reality rehabilitation program, while the patients in the control group received 2D virtual reality rehabilitation training. The Hamilton Depression Rating Scale, modified Barthel Index, and resting-state functional magnetic resonance imaging data were collected before and after a 4-week intervention. rsfMRI data were analyzed using multivariate GCA. We found that the immersive virtual reality training was more effective in improving depression in patients with PSD but had no statistically significant improvement in MBI scores compared to the control group. The GCA showed that the following causal connectivities were strengthened after immersive virtual reality training: from the amygdala, insula, middle temporal gyrus, and caudate nucleus to the dorsolateral prefrontal cortex; from the insula to the medial prefrontal cortex; and from the thalamus to the posterior superior temporal sulcus. These causal connectivities were weakened after treatment in the control group. Our results indicated the neurotherapeutic use of immersive virtual reality rehabilitation as an effective non-pharmacological intervention for PSD; the alteration of causal connectivity in emotional networks might constitute the neural mechanisms underlying immersive-virtual reality rehabilitation in PSD. (shrink)

本书以个案研究和横向研究的方式梳理中西法学思想,梳理法学事件,于“真理、道理、情理与法理”的交融中审视法律、法学和法学家的时代使命。.

本书是国内第一部研究卡西勒符号形式哲学的专著,详细论述了他的语言哲学、神话-宗教哲学、科学哲学以及由苏珊·朗格按照卡西勒体系发展的艺术哲学。.

儀式是理解人類文化的一把鑰匙。作為人類基本經驗形態的展演，儀式涉及人類文化的諸多方面，是闡釋特定文化經驗、觀察文化意蘊、理解不同文化體系的表達模式的切入點。本書秉承審美人類學的理念，把儀式作為人類的基 本文化形式和審美文化機制，在全面理解儀式理論觀念和相關概念的基礎上，闡釋了儀式與審美制度、審美認同和審美交流的關系，為讀者理解審美人類學提供了重要參考。 張良叢，哈爾濱師范大學文學院副教授，馬列文論研究會理事，主要從事審美人類學和西方文學理論研究。.

朱熹(1130-1200)字元晦, 改字仲晦, 别号晦庵、晦翁云谷老人、沧州病叟等。.

Lun ke xue yu yi shu (Di yi pian lun wen) ji qi xiang guan lun zhan -- Lun ren lei bu ping deng qi yuan yu ji chu (Di er pian lun wen )ji qi xiang guan lun zhan.

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)

Ben shu fen shang xia liang ge bu fen,Shang bian shi zhu zi yu lei wen xian yan jiu,Xia bian shi zhu zi yu lei ci hui yan jiu.Quan shu yi gong fen wei 9 zhang.Di yi zhang xu lun,Shou xian jie shao le zhu xi yu zhu zi yu lei,Qi ci jin xing le xue shu hui gu,Zong jie le jin 20 nian lai(jie zhi 2009 nian)Guo nei wai zhu zi yu lei yan jiu de sheng kuang he (...) qu de de zhu yao cheng jiu,Zui hou ti chu ben shu de yan jiu fang fa he yi yi.Di er zhang yan jiu tong xing ben zhu zi yu lei ji cheng shu zhi qian de ji ge zhong yao ban ben.Di san zhang wei zhong hua ben zhu zi yu lei yu song ke ben hui an xian sheng zhu wen gong yu lu de yi wen bi jiao.Di si zhang wei zhong hua ben zhu zi yu lei yu chao xian gu xie ben zhu zi yu lei yi wen bi jiao.Di wu zhang yan jiu zhu zi yu lei de wen xian xue jia zhi.Di liu zhang he di qi zhang ji zhong yan jiu zhu zi yu lei de fu yin ci.Di ba zhang tao lun zhu zi yu lei zhong de duo yin jie ci yu.Di jiu zhang zong jie chan shu zhu zi yu lei de yu ti te zheng,Yu yan te dian he yan jiu jia zhi. (shrink)

本书侧重分析中华民族哲学智慧的个性及其对人类哲学文明发展的特殊贡献。中华文明从未间断并发展下来的哲学原因是中华民族不断开发不断完善的直观智慧,中华民族的哲学精神为人类简单明了地指出了走出民族冲突与宗教 冲突困惑的思路。.

This article aims to explore a more suitable prediction method for tourism complex environment, to improve the accuracy of tourism prediction results and to explore the development law of China’s domestic tourism so as to better serve the domestic tourism management and tourism decision-making. This study uses grey system theory, BP neural network theory, and the combination model method to model and forecast tourism demand. Firstly, the GM model is established based on the introduction of grey theory. The regular data (...) series are obtained through the transformation of irregular data series, and the prediction model is established. Secondly, in the structure algorithm of the BP neural network, the BP neural network model is established using the data series of travel time and the number of people. Then, combining BP neural network with the grey model, the grey neural network combination model is established to forecast the number of tourists. The prediction accuracy of the model is analyzed by the actual time series data of the number of tourists. Finally, the experimental analysis shows that the combination forecasting makes full use of the information provided by each forecasting model and obtains the combination forecasting model and the best forecasting result so as to improve the forecasting accuracy and reliability. (shrink)

The automated valuation of benchmark land price plays an essential role in regulating land demand in Chinese real-estate market as the big data are currently accumulated rapidly. However, this problem becomes highly challenging due to the multidimension, large volume, and nonlinearity of the land price-influencing factors. In this paper, an effective data-driven automated valuation framework is proposed for valuing real estate assets by combining a GIS and neural network technologies. This framework can automatically obtain the values of spatial factors affecting (...) land price from GIS and generate training set data for training the neural network to identify the complex relationship between all kinds of factors and benchmark land prices. The effectiveness and universality of the framework is verified via the data of benchmark land prices in Wuhan. The framework can be applied for automated benchmark land price valuation in other cities. (shrink)

This study uses an integrated model of resource conservation theory and social learning theory to explore the antecedents of hotel interns’ perceptions of occupational stigma and to explore the mechanisms inherent to retention willingness. This study first manipulated relevant subjects’ experimental materials through a contextual experiment and used a one-way ANOVA to test the effects of competence stereotypes and occupational stereotypes on hotel interns’ stigma perceptions, respectively, and then used partial least squares structural equation modeling as a statistical tool and (...) the SmartPLS 3.0 program to validate the model of hotel interns’ occupational stigma perceptions-intention. The effects of both competence stereotypes and occupational stereotypes on hotel interns’ perceptions of occupational stigma were significant. The results of the partial least squares structural equation model showed that hotel interns’ perceptions of occupational stigma significantly contributed to emotional exhaustion and that emotional exhaustion significantly influenced hotel interns’ retention willingness, hotel interns’ perceptions of occupational stigma had a significant effect on their retention willingness, while the role of emotional exhaustion as a mediating variable and occupational commitment as a moderator. The inner psychological and behavioral linkage mechanisms of hotel interns’ occupational stigma perceptions and their retention willingness under COVID-19 were explored, and the resource dynamics operating mechanism and professional commitment were also confirmed. (shrink)

Background: Cognitive impairment is one of the core symptoms of schizophrenia, which is considered to be significantly correlated to prognosis. In recent years, many studies have suggested that metabolic disorders could be related to a higher risk of cognitive defects in a general setting. However, there has been limited evidence on the association between metabolism and cognitive function in patients with early-stage schizophrenia.Methods: In this study, we recruited 172 patients with early-stage schizophrenia. Relevant metabolic parameters were examined and cognitive function (...) was evaluated by using the MATRICS Consensus Cognitive Battery (MCCB) to investigate the relationship between metabolic disorder and cognitive impairment.Results: Generally, the prevalence of cognitive impairment among patients in our study was 84.7% (144/170), which was much higher than that in the general population. Compared with the general Chinese setting, the study population presented a higher proportion of metabolic disturbance. Patients who had metabolic disturbance showed no significant differences on cognitive function compared with the other patients. Correlation analysis showed that metabolic status was significantly correlated with cognitive function as assessed by the cognitive domain scores (p < 0.05), while such association was not found in further multiple regression analysis.Conclusions: Therefore, there may be no association between metabolic disorder and cognitive impairment in patients with early-stage schizophrenia.Trial Registration: Clinicaltrials.gov, NCT02880462. Registered August 26, 2016. (shrink)

Our research aimed to investigate the effectiveness of auditory, visual, and audiovisual warning signals for capturing the attention of the pilot, and how stimulus onset asynchronies in audiovisual stimuli affect pilots perceiving the bimodal warning signals under different perceptual load conditions. In experiment 1 of the low perceptual load condition, participants discriminated the location of visual targets preceded by five different types of warning signals. In experiment 2 of high perceptual load, participants completed the location task identical to a low (...) load condition and a digit detection task in a rapid serial visual presentation stream. The main effect of warning signals in two experiments showed that visual and auditory cues presented simultaneously could effectively and efficiently arouse the attention of the pilots in high and low load conditions. Specifically, auditory, AV, and visual preceding auditory stimulus by 100 ms increased the spatial orientation to a valid position in low load conditions. With the increase in visual perceptual load, auditory preceding the visual stimulus by 100 ms and A warning signals had stronger spatial orientation. The results are expected to theoretically support the optimization design of the cockpit display interface, contributing to immediate flight crew awareness. (shrink)

The "Wanzhang" chapter in the Mencius has this famously quoted passage:1.

Point-of-interest recommendations are a popular form of personalized service in which users share their POI location and related content with their contacts in location-based social networks. The similarity and relatedness between users of the same POI type are frequently used for trajectory retrieval, but most of the existing works rely on the explicit characteristics from all users’ check-in records without considering individual activities. We propose a POI recommendation method that attempts to optimally recommend POI types to serve multiple users. The (...) proposed method aims to predict destination POIs of a user and search for similar users of the same regions of interest, thus optimizing the user acceptance rate for each recommendation. The proposed method also employs the variable-order Markov model to determine the distribution of a user’s POIs based on his or her travel histories in LBSNs. To further enhance the user’s experience, we also apply linear discriminant analysis to cluster the topics related to “Travel” and connect to users with social links or similar interests. The probability of POIs based on users’ historical trip data and interests in the same topics can be calculated. The system then provides a list of the recommended destination POIs ranked by their probabilities. We demonstrate that our work outperforms collaborative-filtering-based and other methods using two real-world datasets from New York City. Experimental results show that the proposed method is better than other models in terms of both accuracy and recall. The proposed POI recommendation algorithms can be deployed in certain online transportation systems and can serve over 100,000 users. (shrink)

Objectives: This study aimed to provide a comprehensive understanding of all intervention for learning burnout by meta-analyzing their effects.Methods: Relevant studies that had been published up to September 18, 2020, were identified through a systematic search of the PubMed, Web of Science, the China National Knowledge Infrastructure, and Wan Fang databases. Eligible studies included randomized control trials of any learning burnout intervention conducted among students. The Jadad scale was used to evaluate the quality of the study. Random-effect meta-analyses, subgroup analyses, (...) meta-regression analysis, and sensitivity analysis were conducted. Funnel plots and Egger's tests were used to evaluate publication bias. Duval and Tweedie's non-parametric trim-and-fill method was used to adjust the effect of publication bias.Results: Of the 5,245 articles found, 39 met the inclusion criteria for the systematic review. There were 3,400 students, including 1,847 students in the intervention group and 1,553 in the control group. A meta-analysis of 44 studies showed that the interventions were effective. Subgroup analyses were conducted according to education, scales, intervention measures, and intervention time. The results showed that, compared with the control group, the learning burnout scores of undergraduates, secondary vocational students, and middle school students were significantly lower. Based on different scales, all interventions were also effective. The funnel plot was asymmetric and consistent with the results of Egger's test. The trim-and-fill method was used, and seven missing studies were merged to obtain a symmetric funnel plot.Conclusions: This meta-analysis indicated that learning burnout interventions are effective. The subgroup analyses showed that group counseling is the most widely used, exercise intervention is probably the most effective, and 8 weeks or more is the appropriate intervention time. An integrated intervention study based on the factors of learning burnout adds value. More studies are needed to supplement the results in the future. (shrink)