BackgroundPost-stroke depression is one of the most common neuropsychiatric diseases in patients with stroke, and it can increase the disability rate, mortality, and recurrence rate of stroke. Currently, many clinical studies have indicated that traditional Chinese medicine, such as acupuncture and herbs, Western medicine, rehabilitation, repeated transcranial magnetic stimulation, and other treatment methods, are effective in treating PSD. However, no study has formulated a comprehensive treatment plan that integrates TCM, Western medicine, and rehabilitation for PSD. Thus, this trial aims to (...) assess the efficacy and safety of integrative medicine for treating PSD.MethodsThis multicenter, prospective, randomized, controlled study aims to form a set of effective clinical treatment schemes that integrate TCM, Western medicine, and rehabilitation for PSD. A total of 202 participants recruited from four centers will be randomized into either the integrative medicine or standard care group. Standard care—basic treatment, general nursing care, and exercise therapy—will be provided to all participants. The integrative medicine group will also receive acupuncture, Chinese herbs, and repeated transcranial magnetic stimulation. Participants will receive acupuncture and rTMS treatments five times per week for 4 weeks and will be administered Chinese herbs, basic treatment, general nursing care, and exercise therapy for 4 weeks. The primary outcomes include the Hamilton Depression Scale, Self-Rating Depression Scale, and Activity of Daily Living Scale. And the secondary outcomes include the Montreal Cognitive Assessment Scale, the Fugl-Meyer Assessment Scale, and the Pittsburgh Sleep Quality Index. All outcome measures will be evaluated at baseline, week 4, and week 8. Safety assessments will be performed throughout the study.DiscussionThis study is expected to verify the efficacy and safety of integrative medicine for treating PSD, providing an evidence-based clinical reference for the future development of a standardized scheme.Clinical trial registrationClinicalTrials.gov, identifier: NCT05187975. (shrink)

College students' motivation and engagement are regarded as essential factors to promote their academic development and wellbeing. However, motivation and engagement among college students appear to decline after they enter the university. Guided by the framework of self-determination theory, this study attempted to explore a motivational model of how three dimensions of perceived teacher support related to student motivation and class engagement, using need satisfaction as a mediator. Drew on a survey of the perceptions of 705 Chinese university students, the (...) results showed that besides structure, both autonomy support and involvement positively related to students' need satisfaction. Further, need satisfaction was positively associated with autonomous motivation, controlled motivation, and class engagement and negatively linked with amotivation. Yet, only autonomous motivation was positively predicted for class engagement. Need satisfaction and the chain from need satisfaction to autonomous motivation were found to be the significant mediators. The practical implications of educational practices are discussed. (shrink)

Identifying important entities in software systems has many implications for effective resource allocation. Complex network research opens new opportunities for identifying important entities from software networks. However, the existing methods only focus on identifying important classes. Little work has been done on the identification of important packages. Moreover, the metrics they used to quantify the class importance are only designed for unweighted software networks and cannot fit in with the weighted software networks. To overcome these limitations, in this article, we (...) introduce the weighted k-core decomposition method to identify the important packages. First, we use a weighted software network to describe packages and their internal dependencies. Second, we use Wk-core to partition a software network into a layered structure. Then, the packages that are denoted by the nodes within the main core are the identified important packages. To evaluate our method, we use a variant of the susceptible–infectious–recovered model to examine the spreading influence of the nodes in six real weighted software networks. The results show that our method can well identify influential nodes, better than other four methods. Furthermore, we demonstrate our method on two software networks and show that the important packages identified by our method are more meaningful from a software engineering perspective when compared with the other methods. (shrink)

Customers’ declining receptivity to conventional marketing tools has been a challenge for convenience stores. To overcome this, retailers are turning to social media as a new, potent marketing tool for creating business prospects and encouraging direct customer interaction. However, it is still unknown how social media marketing affects the shifts in customer behavior. This paper expands on the relationship of “loyalty program + virtual community experience → perceived value → customer loyalty” in the traditional convenience store scenario, refining the variables (...) of virtual community experience, perceived value, and customer loyalty. It also compares the effectiveness of different LP design structures and explores the mediation impact of program loyalty and the moderation effect of alternative attractiveness. The results demonstrate the superior performance of LPs with an expiry policy and differential returns and highlight the importance of enhancing members’ virtual community experiences in fostering customer perceived value and loyalty. The results also show the minor negative moderation impact of community group buying and prove that emotional value significantly impacts customer loyalty. Still, the social value does not affect program loyalty. The recommendations are offered, such as designing growing-oriented and periodical zeroing LPs, as well as using new social media marketing tools to empower traditional marketing techniques and constructing a “convenience store + community group buying” model. The findings have substantial theoretical and practical implications for traditional convenience stores in properly implementing loyalty and social media marketing tactics to maximize customer value and loyalty with a limited budget. (shrink)

Recent studies have indicated that trait procrastination as a personality factor could lead to mobile phone addiction, however little is known about the mediating and moderating mechanisms underlying this process. The current study investigated the mediating role of stress in the relationship between trait procrastination and mobile phone addiction, and whether the mediating effect was moderated by gender. A sample including 1,004 Chinese college students completed measurements of trait procrastination, stress, mobile phone addiction, and demographic information. The results showed that (...) trait procrastination was positively related to college students’ mobile phone addiction. Mediation analyses revealed that this relationship was partially mediated by stress. Moderated mediation further indicated that the path between trait procrastination and stress was stronger for male students compared with female students. These findings broadened our knowledge of the underlying mechanisms between trait procrastination and mobile phone addiction, the implications and limitations of this study were discussed. (shrink)

At present, integrated energy systems have received extensive attention, but there is no basic framework for stability analysis of coupled systems. The injection of a large amount of renewable energy also has a great impact on the stability of the system. This paper focuses on how to analyze the static stability of the coupling system with uncertainty, which mainly considers the uncertainty of wind power generation and photovoltaic power generation and also considers the influence of P2G technology on the whole (...) system. Firstly, this paper analyzes the principles of wind power generation and photovoltaic power generation and constructs the probability model of renewable energy power generation power. Then, the three-point estimation method is used to process the data, and the probability distribution of the unknown quantity is obtained by probabilistic power flow analysis. Finally, the probability distribution of each eigenvalue is obtained by analyzing the sensitivity of the characteristic roots to the voltage. Thus, the static stability of the system is judged. The applicability of proposed methodology is demonstrated by analyzing an integrated IEEE 14-bus power system and a Belgian 20-node gas system in this paper. (shrink)

이 책의 출판에 즈음하여 글로 쓴 초상화 - 참으로 이러하셨다 일생의 좌우명 1부 - 성현의 길 1. 학문을 말하다 뜻을 구함 뜻을 세움 스스로의 인격을 위한 공부가 중요합니다 스스로 성인이 되는 공부입니다 앎과 실천 지식과 실천 학문과 수양 학문을 실천에 옮김 진리를 깊이 파고드는 방법 진리를 따름 인간과 자연을 깊이 있게 관찰하십시오 독서 방법 선현들의 책과 의문점 널리 읽음과 요약함 숨은 공부 익숙하게 하는 것이 귀하다 스스로의 허물을 고치는 약 너무 급히 나아가려 하지 말아야 합니다 공부도 건강을 유지하면서 해야 합니다 (...) 옳은 것을 배운다는 뜻 공부가 몸에 익음 스승이 있어야 하겠더군요 옛것을 살펴 그에 의지함 성현을 눈 앞에 그려봄 덕과 학문을 익힘 학문을 말함 학문의 의지 학문의 두 방법 학문하는 요령 선비 학문의 특징 선비가 학문하는 일 기氣를 기르는 일에 대하여 『대학』이 가르치는 것 『서명西銘』이라는 글 책을 쓰는 일 가르치고 배우는 법 성현을 모시고 받듦 학문의 남모르는 즐거움 일상생활에서 익힘 배우는 사람 마음의 병 2. 마음공부를 말하다 사람의 마음 마음의 본바탕 마음이 움직일 때와 고요할 때를 함께 관철하시오 마음을 알아야 합니다 마음에는 여러 모습이 있습니다 마음 닦는 공부는 이러합니다 고요함을 기르다 마음을 하나로 하여 만 가지를 주재하는 공부입니다 진리 앞에 경건한 마음을 지켜 나가는 요령 마음을 놓느냐 잡느냐에 달려 있을 뿐입니다 마음을 공부하는 방법 마음의 병을 다스리는 요령 가족에게 화를 잘 내는 일 명의재라는 집을 읊음 2부 - 처사의 길 1. 자연과 벗하며 세상을 즐기다 토계 개울가에 집을 짓고 고향 생활 산골 생활 산과 숲에 묻혀 삶 한가이 앉다 소백산에 품겨서 강물과 암석 사이 취미 생활 시 짓기 붓글씨 기행문 쓰기 국화 길에 서리 내리다 눈 속 대나무를 노래함 달구경 대숲의 맑은 바람 매화가지 끝에 밝은 달 봄을 느끼다 연꽃을 사랑함 세상 더나 살아서 계절마다 좋은 점 월란대 절에 묵으며 감회를 적음 벼랑 위의 참나무 2. 스스로 경계하며 사람들과 함께하다 몸가짐 학자의 병 착실한 공부 입으로 하는 학문 요행을 기뻐하지 마라 끝내 성과가 없는 사람 과장하여 빛내려 하지 말라 너무 빠른 성공은 좋지 않습니다 날마다 노력함 과감한 힘 세속의 흐름을 다르지 않기 학문의 타락 스스로를 구짖음의 한계 변명하지 않음 공부를 하다 말다 하는 병폐 꿋꿋해야 합니다 공변된 마음 납작바위 이익 추구와 도의 참다운 이익 밭을 사는 일 참다운 우정 친분이 있는 사람과 없는 사람 스승과 제자 사이의 에절 어른 앞에서는 이름을 부른다 평소의 예절 도리와 인정 위생의 이치를 지킴 가난을 참으며 순리대로 살아라 칭찬 듣는 것이 걱정 퇴게 선생의 예절 생활 퇴게 선생의 협동과 검소함 남이 보지 않는 곳에서 더욱 삼가셨다 퇴계 선생이 바라는 것 평소에 품고 있는 뜻 3부 - 제가의 길, 치국의 길 1. 집안을 꾸리다 부부 사이의 존경 부부 사이의 애도하는 정과 효도 지극한 효도와 참다운 효도의 이치 몸을 훼손하여 효도하는 일 부모를 위하여 직접 음식을 만드는 일 지조 있게 부모 모시기 효도하기 위해 벼슬하는 일 부모를 욕되게 함 부모의 상례와 인정 어버이로서의 자식 걱정 어버이의 적절한 자식 사랑 남의 어버이와 나이 많은 사람 섬기기 어른을 존중하는 것이 시초이다 조상의 업적을 기록하는 일 혼인 예물을 분수에 맞게 하자 예식을 정하는 일 제사 예절 상례 예절 가정생활 가정을 거느리는 일상생활에서도...... 2. 나라를 생각하다 벼슬살이 선비의 벼슬살이 벼슬 생활 벼슬을 사양하는 이유 벼슬을 사양하는 도리 개혁의 어려움 신의와 예절 임금과 신하 사이의 예우와 도리 임금의 이기심에 대하여 임금의 정치 방법 참된 교육을 위하여 서원을 키워야 합니다 선비의 귀함 선비를 양성하는 일 「예안향약」의 조목들 나랏일 걱정 병적 조사에 대하여 백성 걱정 세금 걷는 일 대마도 주인에게 답함 왜의 사신을 끊지 말기를 바라는 상소 압록강 세 섬의 밭갈이를 금함 의주성의 지리 부록 ᆞ생애 1. 탄생 2. 학문에 뜻을 세우다 3. 벼슬살이 시절 4. 학문과 교육의 시절 5. 돌아가신 뒤 6. 근현대의 퇴계학 ᆞ경공부 입문 ᆞ퇴계의 도학 찾아보기. (shrink)

Precise global solar radiation data are indispensable to the design, planning, operation, and management of solar radiation utilization equipment. Some examples prove that the uncertainty of the prediction of solar radiation provides more value than deterministic ones in the management of power systems. This study appraises the potential of random forest, V-support vector regression, and a resilient backpropagation artificial neural network for daily global solar radiation point prediction from average relative humidity, daily average temperature, and daily sunshine duration. To acquire (...) more accurate predictions of DGSR and examine the influence of historical DGSR on the performance of point prediction models, two different model inputs are considered: three meteorological variables and the lags of DGSR and three meteorological variables. Then, two interval prediction methods are developed by introducing the KDE to out-of-bag, introducing kernel density estimation to split conformal based on the three machine learning models. The two methods for interval prediction are denoted as OOB-KDE and SC-KDE. The mean absolute error, mean relative error, and Kendall rank correlation are used to assess the point prediction models. The performance of interval prediction methods is evaluated by the prediction interval coverage probability, prediction interval normalized average width, and coverage width criteria. The following conclusions are drawn from this study. First, the V-SVR model performs best with the lowest mean absolute error of 0.016 and mean relative error of 0.001. Second, the lags of DGSR improve the prediction accuracy by about 30%. Third, the OOB-KDE and SC-KDE methods improved the quality of the prediction interval. OOB-KDE improved CWC by 81%, and SC-KDE improved CWC by 99.99%. Fourth, the best interval prediction result is obtained using the SC-KDE method using the V-SVR model. The average difference between its PICP and prediction interval nominal coverage is only 3% of the PINC, and its PINAW is less than 0.007. (shrink)

ObjectiveThis study introduced self-concept and social support as research variables to establish a research mechanism, in order to encourage college students to participate in sports better, relieve or overcome depression.MethodsThe survey was conducted among 1,200 college students in Jiangxi, China. Serial mediation models were used to examine whether self-concept and social support mediated in the effect of physical exercise on depression.ResultsPhysical exercise significantly negatively predicted college depression. Moreover, Self-concept and social support mediate the relationship between physical exercise and depression in (...) college students.ConclusionThis study reveals how physical exercise affects college students’ depression and its mechanism, and the results have certain enlightenment significance for maintaining and promoting college students’ physical and mental health. (shrink)

The purpose is to minimize the substantial losses caused by public health emergencies to people’s health and daily life and the national economy. The tuberculosis data from June 2017 to 2019 in a city are collected. The Structural Equation Model is constructed to determine the relationship between hidden and explicit variables by determining the relevant indicators and parameter estimation. The prediction model based on Artificial Neural Network and Convolutional Neural Network is constructed. The method’s effectiveness is verified by comparing the (...) prediction model’s loss value and accuracy in training and testing. Meanwhile, 50 pieces of actual cases are tested, and the warning level is determined according to the T-value. The results show that comparing and analyzing ANN, CNN, and the hybrid network of ANN and CNN, the hybrid network’s accuracy is higher than the other two algorithms, 89.1 and 90.1%. Also, the hybrid network has sound prediction effects and accuracy when predicting actual cases. Therefore, the early warning method based on ANN in deep learning has better performance in public health emergencies’ early warning, which is significant for improving early warning capabilities. (shrink)

本书分为十章,主要内容包括:陶行知教育思想与中小学创造教育实验、陶行知教育思想与基础教育教学改革、陶行知教育思想与基础教育课程改革、陶行知教育思想与中小学德育等.

This study investigates the internationalization of small family businesses by classifying the effects of external socioemotional wealth vs. internal socioemotional wealth. The study involved 2,704 small family businesses in China, and the results support the hypothesis that family reputation has a positive effect on internationalization, while family involvement has a negative effect on internationalization. Moreover, entrepreneurial spirit reinforces the positive effect of family reputation on internationalization and enhances the negative relationship between family involvement and internationalization. This study contributes by examining (...) the effect of entrepreneurial spirit as a potential balancing factor for the paradoxical influence of internal vs. external socioemotional wealth. (shrink)

This chapter contains section titled: Literary Revolution and its Meaning The Naturalistic Conception of the Universe and the Experimentalist Method History of Chinese Philosophy and Systematizing the National Heritage Political Philosophy and Liberalism Hu Shi as an Enlightenment Philosopher.

Machine learning algorithms bring out an under-appreciated puzzle of discrimination, namely figuring out when a decision made on the basis of a factor correlated with race is a decision made on the basis of race. I argue that prevailing approaches, which are based on identifying and then distinguishing among causal effects of race, in their metaphysical timidity, fail to get off the ground. I suggest, instead, that adopting a constructivist theory of race answers this puzzle in a principled manner. On (...) what I call a “thick constructivist” account of race, to be raced is to be socially positioned in the way indicated by a certain set of statistical regularities on the basis of particular phenotypical traits. A thick constructivist sees that acting on the basis of correlations that constitute race qua social position just is acting on the basis of race, because races just are social positions that subject their member individuals to a particular matrix of social relations that define the raced position. This conclusion has considerable ramifications for our understanding of discrimination, algorithms and beyond. (shrink)

Veritism claims that only true beliefs are of basic epistemic value. Michael DePaul argues that veritism is false because it entails the implausible view that all true beliefs are of equal epistemic value. In this paper, I discuss two recent replies to DePaul's argument: one offered by Nick Treanor and the other by Kristoffer Ahlstrom-Vij and Stephen Grimm. I argue that neither of the two replies is successful. I propose a new response to DePaul's argument and defend my response against (...) a possible objection. (shrink)

di yi juan. Wen yi mei xue -- di er juan. Zhongguo gu dian wen yi xue -- di san juan. Bi jiao wen yi xue --di si juan. Wen hua mei xue -- di wu juan. Mei de zhui xun.

本卷收入胡适哲学与文化方面的论文、函牍、讲演、札记80余篇。其中包括实验主义、我们对于西洋近代文明的态度等重要文章。所收文章全面反映了胡适哲学思想、学术主张和对于中西文化的态度,对于了解和研究胡适本人 以及现代中国学术史、现代中国启蒙运动等内容。.