Short-term traffic flow prediction is an effective means for intelligent transportation system to mitigate traffic congestion. However, traffic flow data with temporal features and periodic characteristics are vulnerable to weather effects, making short-term traffic flow prediction a challenging issue. However, the existing models do not consider the influence of weather changes on traffic flow, leading to poor performance under some extreme conditions. In view of the rich features of traffic data and the characteristic of being vulnerable to external weather conditions, (...) the prediction model based on traffic data has certain limitations, so it is necessary to conduct research studies on traffic flow prediction driven by both the traffic data and weather data. This paper proposes a combined framework of stacked autoencoder and radial basis function neural network to predict traffic flow, which can effectively capture the temporal correlation and periodicity of traffic flow data and disturbance of weather factors. Firstly, SAE is used to process the traffic flow data in multiple time slices to acquire a preliminary prediction. Then, RBF is used to capture the relation between weather disturbance and periodicity of traffic flow so as to gain another prediction. Finally, another RBF is used for the fusion of the above two predictions on decision level, obtaining a reconstructed prediction with higher accuracy. The effectiveness and robustness of the proposed model are verified by experiments. (shrink)

This research examines the speeded detection and, separately, classification of photographic images of animals. In the initial experiments each display contained various images of animals and, in the detection task, participants responded whether a display contained only images of birds or also included an oddball target image of a cat or dog. In the classification search task, a target was always present and participants classified this as an image of a cat or a dog. Half of the target images depicted (...) the animal in a non-threatening state and the remaining half images depicted the animal in a threatening state. A complex pattern of effects emerged showing some evidence of more efficient detection of a threatening than non-threatening target. No corresponding pattern emerged in the data for the classification task. Next the tasks were repeated when the stimuli were more carefully matched in terms of general pose and salience of facial features. Now the effects in the detection task were reduced but more consistent than before. Threatening targets were more readily detected than non-threatening targets. In addition, non-threatening targets were more readily classified than threatening targets. The nature of these effects appears to reflect decisional/response mechanisms and not search processes. The performance benefit for the non-threatening images was replicated in a final classification task in which, on each trial, only a single peripheral image was presented. The results demonstrate that a number of different affective and perceptual factors can influence performance in speeded search tasks and these may well be confounded with the variation in threat content of the experimental stimuli. The evidence for the automatic detection of visual threat remains illusive. (shrink)

In this paper, we prove that there is a Π01 class in 2ω with a unique nonrecursive member, with that member a cohesive set. This solves an open question from Cenzer. The proof uses the Δ03 method in the context of the construction of a Π01 class.

本书共分七章,主要内容包括:分析法学概述、分析法学的形成、分析法学传统、凯尔森的纯粹法学、哈特的新分析法学、分析法学的新近发展、对分析法学的评价。.

Though a few scholars have discussed the transnational engagement of Caribbean thinkers with China, hitherto unknown is the imaginative alliance Left-wing Chinese writers crafted with the Caribbean via their works on the Haitian Revolution. This paper explores writings by four Chinese Marxists—Li Chunhui, Wang Chunliang, Lu Guojun, and Mao Xianglin—who engaged with Caribbean intellectuals, like Eric Williams, and used the history of the first anti-colonial revolution to rethink China’s own decolonial experiment. During the Maoist era, these thinkers argued for the (...) independence of the Haitian Revolution from the French Revolution, imagining Haiti’s revolutions as prefigurations of Third-World Revolution. In the deradicalized Deng era, these writers held contradictory stances towards capitalism, stressing how old and neocolonialism plundered Haiti. By reducing Sino-Caribbean relations to the Chinese diaspora in the Caribbean, or to the recent Belt and Road Initiative, scholars overlook lost revolutionary solidarities that aimed to dismantle world white supremacy. (shrink)

本书通过对宋代儒学与宋代科学的关联性的研究,深入探讨宋代儒学对于宋代科学发展的影响;具体阐述宋代各个时期著名儒家学者对于自然知识以及科学的重视和研究、宋代儒学精神与思想对宋代科学家及其科学研究的影响.

Ben shu xi "Zhuzi xue yan jiu cong shu" zhi yi zhong. Zuo zhe cong Zhuzi ge zhi lun xing cheng de xue shu bei jing, ge zhi lun jian gou de xin lu li cheng, ge zhi lun de li lun nei han, ge zhi lun yu ke xue yan jiu, Zhuzi men ren ji hou xue de ge zhi lun, Zhuzi ge zhi lun de yan bian yu ge zhi xue deng fang mian xiang xi lun shu le (...) Zhuzi de ge wu zhi zhi lun si xiang. (shrink)

Ben shu quan mian chan shu zhu xi de li xue yu ke xue si xiang,Te bie jiu zhu xi zhong shi zi ran yan jiu,Shen ru ke xue tan suo,Chuang xin ke xue si xiang,Chuan bo zi ran zhi shi yi ji zhu xi li xue de ke xue jia zhi zhan kai ju ti de lun shu,Chong fen ken ding zhu xi ke xue si xiang dui yu hou shi ke ji fa zhan de zhong yao zuo yong,Yi (...) qi dui jin tian de ke ji yu wen hua de fa zhan zhu ru yuan tou huo shui. (shrink)

Background The enhancement of nursing care quality is closely related to the clinical competence of nurses, making it a crucial component within health systems. Objective The present study investigated the relationship between nurses’ clinical competence, moral identity, and moral injury during the COVID-19 outbreak. Research design This cross-sectional study was carried out among frontline nurses, using the Moral Identity Questionnaire (MIQ), the Moral Injury Symptom Scale-Healthcare Professionals version (MISS-HP), and the Competency Inventory for Registered Nurse (CIRN) as data collection tools. (...) Participants and research context: The research population for this study consisted of all frontline nurses ( n = 251) employed in a hospital in southern Iran. Sampling was conducted between May 1, 2021 and September 30, 2021, during the COVID-19 outbreak. Ethical considerations The present study received approval from the research ethics committee of Rafsanjan University of Medical Sciences, with project No. 99267 and code of ethics ID No. IR. RUMS.REC.1399.262, dated 15.02.2021. Results According to the study findings, 42.2% of the nurses demonstrated high clinical competence, while 51.4% exhibited moderate clinical competence. The results indicated a positive correlation between moral identity and clinical competence but a negative correlation between moral injury and clinical competence. Furthermore, the variables of moral identity and moral injury were found to predict 10% of the variance in clinical competence. Conclusion According to the results, moral identity and moral injury had an impact on the clinical competence of nurses. Therefore, implementing a program aimed at enhancing moral identity and providing training strategies to address moral injury during crises like the COVID-19 pandemic can lead to improvements in nurses’ clinical competence and the overall quality of care they provide. (shrink)

Many studies demonstrate that people form their first impression of a stranger based on facial appearance, and these impressions influence their subsequent decisions and behaviors. However, much less research has examined the factors that moderate the accuracy of first impressions based on a photo of face. The present study included three experiments to explore gender differences in the accuracy of impressions based on faces. The results showed that people judge facial attractiveness more accurately for female faces than for male faces (...) while giving more accurate wealth judgments for male faces than for female faces. Interestingly, although we did not find a significant correlation between confidence ratings and the accuracy of wealth rating, we recognized a significant moderate correlation between confidence ratings and the accuracy of attractiveness ratings when female participants rated male faces. To our knowledge, the present study is the first to reveal gender biases in the accuracy of impression judgments based on facial appearance. These findings imply a significant influence of traditional gender roles on accurate facial judgments. (shrink)

Decades of empirical and theoretical research has produced an extensive literature on the ethical judgments construct. Given its importance to understanding people’s ethical choices, future research should explore the psychological processes that produce ethical judgments. In this paper, the authors discuss two steps needed to advance this effort. First, they note that the business ethics literature lacks a single, generally accepted definition of ethical judgments. After reviewing several extant definitions, the authors offer a definition of the construct and discuss its (...) advantages. Second, future ethical judgment research would benefit from greater integration between theories of ethical decision making and theories of social cognition. Drawing upon the Hunt–Vitell ( Journal of Macromarketing 6 (Spring), 5–15, 1986 ; In: N. C. Smith and J. A. Quelch (eds.), Ethics in Marketing . Irwin, Homewood, IL, pp. 775–784, 1992 ) model and the heuristic-systematic model (Chaiken, Journal of Personality and Social Psychology 39 (November), 752–766, 1980 ), the authors present a brief research agenda intended to stimulate research on the psychological processes behind ethical judgments. (shrink)

Economic and social disruptions of the COVID-19 pandemic have important implications for gender and class inequality. Drawing on Statistics Canada’s monthly Labour Force Survey, we document trends in gender gaps in employment and work hours over the pandemic. Our findings highlight the importance of care provisions for gender equity, with gaps larger among parents than people without children, and most pronounced when care and employment were more difficult to reconcile. When employment barriers eased, so did the gender–employment gap. The pandemic (...) could not undo longer-standing cultural and structural shifts motivating contemporary mothers’ employment. The pandemic also exacerbated educational inequalities among women, highlighting the importance of assessing gendered impacts through an intersectional lens. (shrink)

To address the need for a valid and reliable scale of youth leadership potential based on the development theory of leadership, the current study developed the Youth Leadership Potential Scale (YLPS) and investigated its factor structure and psychometric properties in a sample of 696 students (grades 7-9) in China. Exploratory structural equation modeling (ESEM) identified a five-factor solution comprising leadership information, leadership attitude, communication skills, decision-making skills, and stress management skills. ESEM within confirmatory factor analysis demonstrated an adequate fit for (...) this structure. The scale showed good composite reliability and measurement invariance across different gender and grade/age groups. The scale also showed sufficient concurrent validity with the Coping Self-Efficacy Scale, the Chinese Roets Rating Scale for Leadership, and the Leadership Skills Inventory. Furthermore, criterion-related validity was supported by the relationship between YLPS scores and the length of student leadership positions. The results suggest that the YLPS is a valid and pragmatic measure for assessing youth leadership potential. The current study is the first to develop a youth leadership potential scale based on the development theory of leadership. (shrink)

本书结合对马克思、恩格斯哲学原著的研究探讨,对大学生们在学习中提出的若干问题进行了阐释。.

本书主要介绍了先秦、汉代、宋代、近代四个时期传统义利思想的历史发展及中国传统义利思想对日本义利观的影响。.

A growing group of Chinese students is returning to China following graduation, especially young returnees. This group is seen as one of the most innovative sectors of Chinese society. Based on the theory of planned behavior and three kinds of capital theories, this study explores entrepreneurial intention and its influencing factors among Newly Returned Chinese International Students. A survey of 211 NRCIS showed a low level of EI and little knowledge of supporting policies about entrepreneurship. Influencing factors included culture harmony (...) as culture capital, overseas social networks as social capital, and foreign entrepreneurship education and foreign language proficiency as human capital. Attitude mediated the effects of foreign language proficiency, culture harmony, and foreign entrepreneurship education on EI. Perceived behavior control mediated the effect of foreign language proficiency, Chinese language proficiency, culture harmony, foreign entrepreneurship education, domestic entrepreneurship education, and overseas social networks on EI, and subjective norms have no significant mediating effect in any mediation path. Based on these findings, policymakers could pay attention to examining whether the current policies are working and accessible for NRCIS, and domestic entrepreneurship education could keep cultivating students' cross-cultural communication and understanding abilities, and society and education sectors could encourage positive cognition of entrepreneurship and guide students to form a positive attitude toward entrepreneurship and enhance their confidence. (shrink)

BACKGROUND: Ontologies play a major role in life sciences, enabling a number of applications, from new data integration to knowledge verification. SNOMED CT is a large medical ontology that is formally defined so that it ensures global consistency and support of complex reasoning tasks. Most biomedical ontologies and taxonomies on the other hand define concepts only textually, without the use of logic. Here, we investigate how to automatically generate formal concept definitions from textual ones. We develop a method that uses (...) machine learning in combination with several types of lexical and semantic features and outputs formal definitions that follow the structure of SNOMED CT concept definitions. RESULTS: We evaluate our method on three benchmarks and test both the underlying relation extraction component as well as the overall quality of output concept definitions. In addition, we provide an analysis on the following aspects: How do definitions mined from the Web and literature differ from the ones mined from manually created definitions, e.g., MeSH? How do different feature representations, e.g., the restrictions of relations' domain and range, impact on the generated definition quality?, How do different machine learning algorithms compare to each other for the task of formal definition generation?, and, What is the influence of the learning data size to the task? We discuss all of these settings in detail and show that the suggested approach can achieve success rates of over 90%. In addition, the results show that the choice of corpora, lexical features, learning algorithm and data size do not impact the performance as strongly as semantic types do. Semantic types limit the domain and range of a predicted relation, and as long as relations' domain and range pairs do not overlap, this information is most valuable in formalizing textual definitions. CONCLUSIONS: The analysis presented in this manuscript implies that automated methods can provide a valuable contribution to the formalization of biomedical knowledge, thus paving the way for future applications that go beyond retrieval and into complex reasoning. The method is implemented and accessible to the public from: https://github.com/alifahsyamsiyah/learningDL. (shrink)

A fundamental aspect of human cognition is the ability to parse our constantly unfolding experience into meaningful representations of dynamic events and to communicate about these events with others. How do we communicate about events we have experienced? Influential theories of language production assume that the formulation and articulation of a linguistic message is preceded by preverbal apprehension that captures core aspects of the event. Yet the nature of these preverbal event representations and the way they are mapped onto language (...) are currently not well understood. Here, we review recent evidence on the link between event conceptualization and language, focusing on two core aspects of event representation: event roles and event boundaries. Empirical evidence in both domains shows that the cognitive representation of events aligns with the way these aspects of events are encoded in language, providing support for the presence of deep homologies between linguistic and cognitive event structure. (shrink)

In the big data era, sequencing technology has produced a large number of biological sequencing data. Different views of the cancer genome data provide sufficient complementary information to explore genetic activity. The identification of differentially expressed genes from multiview cancer gene data is of great importance in cancer diagnosis and treatment. In this paper, we propose a novel method for identifying differentially expressed genes based on tensor robust principal component analysis, which extends the matrix method to the processing of multiway (...) data. To identify differentially expressed genes, the plan is carried out as follows. First, multiview data containing cancer gene expression data from different sources are prepared. Second, the original tensor is decomposed into a sum of a low-rank tensor and a sparse tensor using TRPCA. Third, the differentially expressed genes are considered to be sparse perturbed signals and then identified based on the sparse tensor. Fourth, the differentially expressed genes are evaluated using Gene Ontology and Gene Cards tools. The validity of the TRPCA method was tested using two sets of multiview data. The experimental results showed that our method is superior to the representative methods in efficiency and accuracy aspects. (shrink)

After around four decades of fast growth, the cruise industry has become the most profitable and dynamic segment in the entire global leisure and tourism sector. Behind this growth is a significant shift in the profile of cruise consumers/passengers/tourists, with growth rates twice as fast as those of other types of tourists. China has become a strategic emerging market for the global cruise industry, quickly developing their cruise reception business and holding about 10% of the market share of global cruisers. (...) In this paper, we examine and categorize various travel motivations of Chinese cruise tourists by means of a questionnaire via factor analysis, mean analysis, and K-cluster analysis. The results of the study indicate that Chinese cruise tourists are primarily encouraged to participate in cruise tourism by the motivational dimensions of family leisure/relaxation, natural and cultural exploration, bond/communication, social respect, tourism shopping, and cruise-promotion information sources. The strongest motivations for Chinese cruise tourists were found to be family leisure/relaxation and natural/cultural exploration. We identify four types of cruisers using the K-means cluster method. We find that for all cruiser demographics, leisure/relaxation is the most important motivational factor. Based on these results, we propose some specific solutions for expanding the customer pool in the Chinese cruise market. (shrink)

The escalating integration of Artificial Intelligence (AI) in clinical settings carries profound implications for the doctrine of informed consent, presenting challenges that necessitate immediate attention. China, in its advancement in the deployment of medical AI, is proactively engaging in the formulation of legal and ethical regulations. This paper takes China as an example to undertake a theoretical examination rooted in the principles of medical ethics and legal norms, analyzing informed consent and medical AI through relevant literature data. The study reveals (...) that medical AI poses fundamental challenges to the accuracy, adequacy, and objectivity of information disclosed by doctors, alongside impacting patient competency and willingness to give consent. To enhance adherence to informed consent rules in the context of medical AI, this paper advocates for a shift towards a patient‐centric information disclosure standard, the restructuring of medical liability rules, the augmentation of professional training, and the advancement of public understanding through educational initiatives. (shrink)

This paper examines the construction of the poet Du Mu’s libertine image to illustrate how Chinese writers and readers of the ninth and tenth centuries validated the search for sensual pleasure by associating it with literary talent, unconventional character, and political disengagement. In doing so, they added indulgence in sensual pleasures to the repertoire of fengliu cultural ideals, a repertoire previously associated with reclusion and drinking. Because sensual pleasure was traditionally viewed as trivial and/or disruptive to social order, ninth-century writers (...) approached the new ideal with considerable ambivalence. Although Du Mu had fashioned a libertine poetic self-image as a young man, he attempted to shed this image later in life. I argue that it was Du Mu’s readers who, by creatively reading his poems and writing anecdotes about his sexual adventures, re-imagined the poet as a figure of fascination and thus created one of the most enduring fengliu characters in Chinese history. (shrink)

Transgressive Typologies: Constructions of Gender and Power in Early Tang China. By Rebecca Doran. Harvard-Yenching Institute Monographs, vol. 103. Cambridge, Mass.: Harvard University Asia Center, Harvard University Press. Pp. viii + 260. $39.95.

The earliest Chinese handscroll extant painting is the ‘Nushi zhen’ by Gu Kaizhi housed in the British Museum, which is now often considered to be a Tang Dynasty copy of the original. This article shows the study of the representation of garment and accessories of the figure illustrations all-sided in the painting. And by comparing with correlated literature and images, it opens out the typical skills and style in which the ancient Chinese figure painters of Jin Dynasty (AD 265-420) depicting (...) the apparels in the handscroll painting. (shrink)

Svirsky, Howard, and Berman have enumerated a variety of U.S. FDA roles, arguing that although the public possess a “right to information” about health risks,...

One of the fundamental properties inclassical equational reasoning isLeibniz's principle of substitution. Unfortunately, this propertydoes not hold instandard epistemic logic. Furthermore,Herbrand's lifting theorem which isessential to thecompleteness ofresolution andParamodulation in theclassical first order logic (FOL), turns out to be invalid in standard epistemic logic. In particular, unlike classical logic, there is no skolemization normal form for standard epistemic logic. To solve these problems, we introduce anintensional epistemic logic, based on avariation of Kripke's possible-worlds semantics that need not have a constant (...) domain. We show how a weaker notion of substitution through indexed terms can retain the Herbrand theorem. We prove how the logic can yield a satisfibility preserving skolemization form. In particular, we present an intensional principle for unifing indexed terms. Finally, we describe asound andcomplete inference system for a Horn subset of the logic withequality, based onepistemic SLD-resolution. (shrink)