This study aimed to investigate the serial-multiple mediation effect of professional identity, psychological capital, work-related stress, and work-related wellbeing among intensive care unit nurses in China. The cross-sectional survey was conducted from January 2017 to May 2017 in two Grade III A general hospitals in Jining, Shandong Province, China. Cluster sampling was used to recruit participants from the two hospitals. A total of 330 ICU nurses participated in the study. The nurses’ work stress scale, Chinese nurse’s professional identity scale, the (...) PsyCap questionnaire, and Chinese work-related wellbeing scale were used to collect the data. Descriptive analysis, independent-samples t-test, one-way analysis of variance, Pearson correlation analysis, linear regression analysis, and structural equation modeling were used to analyze the data. The average score for the work-related wellbeing of ICU nurses was 85.91 ± 13.94. Work-related stress, professional identity, and PsyCap correlated significantly with work-related wellbeing. The major predictors of work-related wellbeing were PsyCap, work-related stress, professional identity, and monthly salary. The serial-multiple mediation effects of professional identity and PsyCap in the relationship between work-related stress and work-related wellbeing were statistically significant. Positive professional identity and PsyCap were sequentially associated with decreased work-related stress, which in turn was related to increased work-related wellbeing among ICU nurses. Therefore, this study aims to explore the impact of ICU nurses’ work-related stress on work-related wellbeing, as well as the mediating effect of professional identity and PsyCap. It is hoped that hospital care managers will pay attention to the mental health of ICU nurses, increase their professional identity, and reduce work-related stress to improve the quality of the ICU nursing service and stabilize nursing work. (shrink)

Preferential model is one of the important semantical structures in nonmonotonic logic. This paper aims to establish an isomorphism theorem for preferential models, which gives us a purely algebraic characterization of the equivalence of preferential models. To this end, we present the notions of local similarity and local simulation. Based on these notions, two operators Δ(·) and μ(·) over preferential models are introduced and explored respectively. Together with other two existent operators ρ(·) and ΠD(·), we introduce an operator ∂D(·). Then (...) the isomorphism theorem is obtained in terms of ∂D(·), which asserts that for any two preferential models M₁ and M₂, they generate the same preferential inference if and only if ∂D(M₁) and ∂D(M₂) are isomorphic. Based on ∂D(·), we also get an alternative model-theoretical characterization of the well-known postulate "Weaken Disjunctive Rationality". Moreover, in the finite language framework, we show that Δ(μ(·)) is competent for the task of eliminating redundancy, and provide a representation result for k-relations. (shrink)

In this paper, a two-level green supply chain composed of a manufacturer and a retailer is taken as the background. Considering the consumer’s double consumption preference and the manufacturer’s green product R&D investment, a differential game model of the green supply chain under the government cost subsidy strategy is constructed. Firstly, the equilibrium points of the system are solved and their stability is discussed and analyzed. Secondly, the dynamic evolution process of Nash equilibrium under the parameters of green degree, green (...) preference coefficient, retail channel preference coefficient, coefficient of the sensitivity of price, and adjustment speed are described by numerical simulation. The results show that the two ways of a system entering chaos are Flip bifurcation and N-S bifurcation, respectively, by 2D bifurcation graph, and it is also verified in 1D bifurcation diagram. When the bifurcation parameters are small, the system maintains Nash equilibrium stability. If the green degree of products is increased, the green preference coefficient will also increase; on the contrary, the retail preference coefficient will decrease. Research and development cost subsidy policy can effectively improve the green degree of products and increase the sales volume of products, so as to improve the profit of supply chain members. (shrink)

The explosion of multiomics data poses new challenges to existing data mining methods. Joint analysis of multiomics data can make the best of the complementary information that is provided by different types of data. Therefore, they can more accurately explore the biological mechanism of diseases. In this article, two forms of joint nonnegative matrix factorization based on the sparse and graph Laplacian regularization method are proposed. In the method, the graph regularization constraint can preserve the local geometric structure of data. (...) L 2,1 -norm regularization can enhance the sparsity among the rows and remove redundant features in the data. First, SG-jNMF1 projects multiomics data into a common subspace and applies the multiomics fusion characteristic matrix to mine the important information closely related to diseases. Second, multiomics data of the same disease are mapped into the common sample space by SG-jNMF2, and the cluster structures are detected clearly. Experimental results show that SG-jNMF can achieve significant improvement in sample clustering compared with existing joint analysis frameworks. SG-jNMF also effectively integrates multiomics data to identify co-differentially expressed genes. SG-jNMF provides an efficient integrative analysis method for mining the biological information hidden in heterogeneous multiomics data. (shrink)

This study focused on the influence of American and Chinese cultures on consequentialism orientation in decision-making within the broader context of psychologists’ academic roles and responsibilities. In addition, this study hypothesized that educational level would affect culturally influenced ethical decision making in both cultures. Based on the American Psychological Association Ethics Code, 20 ethical scenarios in 5 domains in psychology were created and used to examine the influence of culturally ethical beliefs on psychologists’ decision making among 181 participants. The results (...) indicated that significant cultural differences in consequentialism orientation differentiated Chinese and American participants and influenced their resolution of ethical issues. (shrink)

本书按开篇、理论篇、楷模篇、实践篇、知识篇来指导研究生如何遵守道德规范,对新形势下研究生德育工作内容、方法、手段与目的进行了重新思考。.

本书阐述了以“八荣八耻”为主要内容的社会主义荣辱观的本质内涵和特征,对社会主义荣辱观进行了追溯,介绍了知荣明耻的典范,论述了社会主义荣辱观教育过程机理、树立社会主义荣辱观实践路径及社会主义荣辱观教育的 价值等。.

Xin wu xiang rong chu tan -- Guo Dingtang zhu zi yan jiu jue yi.

本书包括科学人文主义产生的背景,科学与人文分裂对立的根源,科学人文主义的逆向途径,科学与人文融合的现实途径等内容。.

Ben shu gong 7 zhang, Shou lu song dai yi hou zhou dun yi yan jiu de xiang guan lun zhu, Lun wen 500 duo pian, Nei rong bao kuo:zhou dun yi de sheng ping gai kuang, Zhou dun yi zhu zuo kao bian, Zhou dun yi yan jiu gai shu, Zhou dun yi yan jiu gu dai wen xian shu yao, Zhou dun yi yan jiu zhuan zhu shu yao, Shi xue zhu zuo zhong zhou dun yi yan (...) jiu pian zhang shu yao, Zhou dun yi yan jiu lun wen shu yao deng. (shrink)

Jung Chang [Zhang Rong], the author of Wild Swans, comes from an entirely different generation than Wu Ningkun. The "offspring of a high-ranking cadre," she was born and grew up under the red flag. While Wu Ningkun was languishing in a "cowshed" [place in one's own work unit where one was usually kept in solitary confinement and made to write out confessions of so-called crimes during the Cultural Revolution—Trans.] and accused of being a "devil and demon," 14-year-old Jung Chang (...) came from her native Chengdu to Beijing—the "center of world revolution"—as a Red Guard, to be reviewed by the Great Leader. As the Cultural Revolution grew in ferocity, her father was accused of being a counterrevolutionary for having supported Tao Zhu and was sent to a mountainous area to be reformed through labor. And so, Jung Chang lost the privileged life she had led and began her "travails." She was first sent to work in a rural production brigade, and then to serve as a barefoot doctor in a Tibetan village at the foot of the Himalayas. (shrink)

Ben shu nei rong bao kuo: ren lei wei he ru ci duo shi; dong fang gu dian de Afanda Wutuobang; sheng ren jiu jing wei shui xiao lao; zhi li de xian du yu xu wei you guo lun; deng gao si wang, man mu zhu ji hai shi man mu la ji; nan yi yong yu yan wen zi biao da yu chuan shou de da dao deng.

Ben shu de zhu yao nei rong shi chan shu zhe xue de te shu de li lun xing zhi he du te de huo dong fang shi,Bing tong guo ju ti lun zheng zhe xue dui gou cheng si xiang de ji ben xin nian,Ji ben luo ji,Ji ben fang shi,Ji ben guan nian,Zhe xue li nian de qian ti pi pan,Zhan xian zhe xue fa zhan de zi wo pi pan de huo li he yong bu ku (...) jie de li lun kong jian. (shrink)

Ben shu zhu yao lun shu ru,Mo liang jia fa zheng si xiang,Bing fu lu xian dai xing fa dui bi fo jiao jie lü lun wen yi pian.Xie zuo te se yao fen wei er:yi,Zai yan jiu fang fa shang,Cai qu bi jiao fa xue yan jiu jin lu,Jian shi chuan tong si xiang yu xian dai jia zhi ti xi xian zhuan gong gou zhi ke neng.Shi gu wen zhang lun shu zhong xin bu zai chan shu ru,Mo (...) nei sheng dao de gong fu lun mian xiang,Er geng ce zhong qi yu xian dai fa li nian ji xian xing fa zhi du zhi dui bi fen xi.Er,Zai lun shu nei rong fang mian,Chuan tong yan jiu zhu yao tong guo jia zhi xi tong nei,Ji ken ding chuan tong wen hua zhi zhuan ye yan jiu zhe li chang chu fa,Zhang xian zhong guo zhe xue shi dai he li xing. (shrink)

Ben shu zhu yao cong san ge fang mian dui Zhou Dunyi li xue si xiang de mei xue te zhi jin xing jie du: yi shi gen ju qi "tai ji" guan fen xi "tai ji" zhi yuan rong mei, dong jing mei, he xie mei; er shi zai dui qi "jun zi guan" he "sheng ren guan" jin xing yan jiu de ji chu shang, zhan xian gang jian, zhong he, gao jie, sa luo, shang zhuo de (...) jun zi ren ge he yi "le" wei ben de sheng ren jing jie, shi dui chuan tong ren ge mei xue ji xian shi you chao yue de shuang chong te zheng de jin yi bu chan shi; san shi zai "xiang" yu "yi", "wen" yu "dao", "le" yun "li" de guan xi zhong fen xi "wen yi zai dao" de mei xue yi yun, cong ben ti de gao du fen xi wen dao guan xi, jiao wei jing zhun de chan shi le Zhou Dunyi "wen yi zai dao" de wen xue si xiang. (shrink)

Ben shu gong fen wei liu zhang, qi zhu yao bao kuo: xu lun ; Shao Yong sheng ping ji qi zhu zuo wen ben kao bian ; Shao Yong xue shu si xiang de li shi bei jing ji yuan yuan ; Shao Yong xue shu si xiang yuan yuan; shao yong yi shu yu yi tu si xiang tan jiu deng nei rong.

Ben cheng guo yi li lun jia gou er fei li shi xu shu de jiao du yan jiu zao qi ru jia de wang ba zhi bian, zong jie wang dao ba dao de zhu yao nei rong, shu li wang ba zhi bian suo guan zhu de si xiang zhu ti, fen xi qi si xiang luo ji jia gou, tan jiu wang ba zhi bian zai Zhongguo chuan tong zheng zhi zhe xue ji Zhongguo chuan tong (...) she hui zhong di ying xiang he yi yi, bing yi xian dai zheng zhi zhe xue de shi jiao fen xi qi li lun de shi wa jue wang ba zhi bian de ji ji yi yi. (shrink)

Ben shu rong hegui gu zi yucai gen tan liang bu zhu zuo de jing hua, Jiang yuan shu zhong yu chu shi, Xiu shen xiang guan de yuan wen jia yi jie xi, Yin shen, Jie he zhi cheng jing dian shi li jin xing chan shu.

Ben shu tong guo dui Kang Youwei zhi "qun" yu"du" guan nian de kao cha, lai ba wo Kang Youwei dui ge ren, guo jia nai zhi tian xia zhi xu de shen ke si kao. Zhu yao nei rong you: yi, Jin dai"qun-du" guan nian de chu xian ji qi zou xiang, er, Kang Youwei "qun-du" guan nian chan sheng de si xiang bei jing, san, "Du ren" yu Kang Youwei dui xian dai xing ge ti sheng cun (...) zhi ling hui, si, "Qun" yu guo jia wei xin, wu, "qun-du" guan lian yu chong tu: min quan yu guo jia guan nian zhi jian de zhang li, liu, Shi jie fan wei zhi "du" yu "qun" : guo jia yu "da tong"deng. (shrink)

Ben shu shi yi ben yan jiu ke xue li shi de shu ji. zhu yao nei rong bao kuo: Xi fang wen hua chuan tong he jin dai ke xue de dan sheng, Wen yi fu xing he Yidali ke xue zhong xin de xing qi, Xin jiao jing shen he Yingguo ke xue zhong xin shi dai de dao lai deng.

Ben shu gong liu pian, Nei rong bao kuo:zhong guo ren de pin de, Wo men xu yao shen me yang de she hui he zheng fu, Min zhu yu zi you, Shi ye yu ren sheng, Wo men xu yao shen me yang de wen xue, Wo men xu yao shen me yang de jiao yu deng.

Ben shu yi jian ming e yao de bi chu xiang du zhe ti gong le yi fu quan jing shi de xi fang mei xue li shi hua juan.Qi nei rong han gai cong gu xi la,Luo ma zhi dao 20 shi ji de xi fang mei xue si xiang he li lun cheng guo,Qi zhong yi li lun xing tai de mei xue si xiang wei zhu gan,Tong shi she ji wen xue yi shu yi ji she (...) hui feng shang suo ti xian de shen mei yi shi. (shrink)

Wei Jin xuan xue jia de xuan lun, ru jin zhi zai zhi ben wen ju jian. Dan bing bu jing mo, na xie xuan lun zong shi dui du zhe zhan xian qi zi ji. Wei Jin zhi shi, xuan xiao rao rang, xuan si zhe huo sa tuo fang da, huo yi yu shen yin, ru he zai xian shi jian yi wei, shun ni shi Wei Jin xuan yin zhong zui shen ke de di yun. Zuo zhe (...) Lu Guizhen pan wang tou guo xiang Wei Jin xuan lun zhe de kou wen, zhi chu yi ge fang xiang,er zai ci yi fang xiang de guan zhu xia, neng gou cheng xian yi ge yu xuan lun rong he de xin shi yu, bing jie ci dui yu mou xie zhong yao de ke ti jin xing sheng si, shi quan shi de jie guo ju you yi ding cheng du de yi yi. Ben shu zhong ji lu de liu pian lun wen, ji shi zhe xie nian zuo zhe bu duan xiang Wei Jin zhe ren ti wen zhi hou suo huo zhi de da an.--. (shrink)

Ben shu yi Ming ru Li Cai de jiang xue huo dong yu xue pai jian gou wei zhong xin, tan tao cong shi liu shi ji chu dao shi qi shi ji mo li xue qun ti zhong xin xing xue shuo he xue pai de chan sheng, chuan bo, kuo zhan yu chuan cheng de mo shi, bing zhuo zhong cong si xiang shi de jiao du jie shi zhe zhong mo shi chan sheng he yun xing de (...) si xiang gen yuan yu nei zai dong li. Quan shu zheng wen gong qi zhang, zhu yao nei rong fen wei shang xia liang bian, shang bian yi hong guan zong lun de fang shi, cong li xue jing dian "Da xue" de wen ben bian dong he quan shi jing zheng qie ru, tan tao zhong wan Ming li xue xue shuo he xue pai jian gou de li lun gen ju; xia bian yi Li Cai de "zhi xiu" xue shuo ji qi jiang xue huo dong zuo wei ge an yan jiu, tan tao li xue xue shuo he xue pai de chuan bo ji chuan cheng de she hui hua tu jing. (shrink)

'Song xue gai yao' zhi zai wan cheng yi bu yi Song xue nei rong wei zhu, yu Huang Zongxi xian sheng 'Song yuan xue an' bing xing de song xue zhu zuo, yi mi bu qi zhu duo bu zu, wei hou shi xue zhe zhao dao yan jiu Song xue de men jing he tong lu. Zuo zhe xuan dao du zhe bu yao yi fu gu yan guang kan Song xue, bu yao yi feng jian chan (...) wu qu kan dai song xue. (shrink)

Xue xi he yan jiu Zhongguo zhe xue, yi ban lai shuo, Feng xian sheng shi ke chao er bu ke yue de. Yi si shi, hou ren wan quan ke neng er qie ye ying dang sheng guo Feng xian sheng, dan shi que bu neng rao guo Feng xian sheng. Rao guo Feng xian sheng, bu dan bi ran yao duo fei li qi, er qie rong yi zou wan lu er nan yu shen ru tang ao. (...) Feng Youlan zuo wei wo guo jin dai zhe xue de yi dai ju bo, zai mou zhong yi yi shang, ying xiang liao zheng ge jin dai Zhongguo zhe xue de ge ju. Er dui yu Feng Youlan zhe xue ji qi xue shu sheng ya de yan jiu, ye sui zhe dang dai guo xue yan jiu de xing qi, shou dao yue lai yue duo de guan zhu. Minguo shi qi de Zhongguo xue shu jie, ying gai shuo shi hui ju le yi da pi kua shi dai de xue shu jing ying, te bie shi zai chuan tong xue shu ling yu, kan cheng yi chang si xiang de sheng yan.ben shu zuo zhe zai hao ru yan hai de Minguo wen xian zhong, jing xin zheng li chu dang shi xue jie dui Feng Youlan zhe xue de hui ying he dui hua, qi zhong bao kuo zhu ru Chen Yinke, Jin Yuelin, Hu Shi, Zhang Dainian, Cai Shangsi deng yi da pi xue jie tai dou de wen zhang, zi liao xing fei chang qiang, bu jin fan ying le zhu wei xue zhe ge ren de du dao jian jie, geng cong yi ge ce mian fan ying le Minguo shi qi Feng Youlan zhe xue yan jiu de sheng kuang, dui dang xia yan jiu Feng Youlan zhe xue si xiang ju you zhong yao de can kao jia zhi. (shrink)

Ben shu wei Xianggang Zhong wen da xue Ya Tai yan jiu suo yan jiu yuan Zheng Hailin bo shi suo zhu, ji jie qi fang xue dong xi fang shi nian suo zhuan xie wen zhi jing cui er cheng, nei rong fen wei si xiang, li shi ren wu, he wen hua ping lun san bu fen. Guan dian zheng que, ke guan gong zheng, fu yu chuang yi.

Noise in behavior is often viewed as a nuisance: while the mind aims to take the best possible action, it is let down by unreliability in the sensory and response systems. How researchers study cognition reflects this viewpoint – averaging over trials and participants to discover the deterministic relationships between experimental manipulations and their behavioral consequences, with noise represented as additive, often Gaussian, and independent. Yet a careful look at behavioral noise reveals rich structure that defies easy explanation. First, both (...) perceptual and preferential judgments show that sensory and response noise may potentially only play minor roles, with most noise arising in the cognitive computations. Second, the functional form of the noise is both non-Gaussian and non-independent, with the distribution of noise being better characterized as heavy-tailed and as having substantial long-range autocorrelations. It is possible that this structure results from brains that are, for some reason, bedeviled by a fundamental design flaw, albeit one with intriguingly distinctive characteristics. Alternatively, noise might not be a bug but a feature: indeed, we suggest that noise is fundamental to how cognition works. Specifically, we propose that the brain approximates probabilistic inference with a local sampling algorithm, one that uses randomness to drive its exploration of alternative hypotheses. Reframing cognition in this way explains the rich structure of noise and leads to a surprising conclusion: that noise is not a symptom of cognitive malfunction but plays a central role in underpinning human intelligence. (shrink)

The processes in construction are more likely than others to breed unsafe behaviors, and the consequences of these actions can be serious. This paper first reviews the research status on unsafe behavior in construction teams. It then analyzes the complex mechanisms that lead to unsafe behavior and constructs a three-layer structural model based on agent-based modeling technology. This modeling deals with complexity and elaborates on key points and potential research ideas in the study of unsafe behavior in construction teams. Using (...) the ABM method, the effects of different incentive strategies on the safe behavior of construction teams under different management scenarios were studied. The results showed that when members have a fair perception of the situation, the effect of the excess performance reward distribution, according to the member’s safety awareness level, is better than the average distribution effect. This is the case whether the member’s safety behavior level is positively or negatively related to the member’s safety awareness level. This study proves the feasibility, validity, and universality of the three-layer structural model. It also reaches certain management conclusions and ideas for further development. The purpose of this paper is to provide a reference for research on the containment and prevention of unsafe behavior in construction teams. (shrink)

The COVID-19 pandemic has caused a dramatic reshaping of passenger risk perception for airline industry. The sharp increase in risk aversion by air passenger has caused a disastrous impact on the tourism service industry, particularly airline industry. Although the existing literature has provided a lot of studies on the impact of the pandemic on travel industry, there are very few studies discussing the impact of change in passenger risk perception on the stock market performance of airline industry. This study considers (...) two types of airline companies, full-service and low-cost. In order to overcome the traditional problem of the Chow test, Quandt–Andrews test is used to identify structural change points during the pandemic in the stock prices of United States airline companies. The result shows that an industry-wide structural change in the stock market performance indeed is found to take place during the pandemic for United States airline companies. Meanwhile, no significant difference is found in the structural change date between the two types of airline companies. The selected airline companies are found to be clustered toward the end of 2020 in their structural change dates. Although the strike of the COVID-19 pandemic on airline industry has proven to be widespread and profound, our investigation implies that air passengers have gradually adapted to the new normal of travel activities at some level and partly rebuild their sense of safety under the strict epidemic-control measures. (shrink)