Background Individual physicians and physician-associated factors may influence patients’/surrogates’ autonomous decision-making, thus influencing the practice of do-not-resuscitate orders. The objective of this study was to examine the influence of individual attending physicians on signing a DNR order. Methods This study was conducted in closed model, surgical intensive care units in a university-affiliated teaching hospital located in Northern Taiwan. The medical records of patients, admitted to the surgical intensive care units for the first time between June 1, 2011 and December 31, (...) 2013 were reviewed and data collected. We used Kaplan–Meier survival curves with log-rank test and multivariate Cox proportional hazards models to compare the time from surgical intensive care unit admission to do-not-resuscitate orders written for patients for each individual physician. The outcome variable was the time from surgical ICU admission to signing a DNR order. Results We found that each individual attending physician’s likelihood of signing do-not-resuscitate orders for their patients was significantly different from each other. Some attending physicians were more likely to write do-not-resuscitate orders for their patients, and other attending physicians were less likely to do so. Conclusion Our study reported that individual attending physicians had influence on patients’/surrogates’ do-not-resuscitate decision-making. Future studies may be focused on examining the reasons associated with the difference of each individual physician in the likelihood of signing a do-not-resuscitate order. (shrink)

Anxious major depressive disorder is a common subtype of major depressive disorder; however, its unique neural mechanism is not well-understood currently. Using multimodal MRI data, this study examined common and specific alterations of amygdala subregions between patients with and without anxiety. No alterations were observed in the gray matter volume or intra-region functional integration in either patient group. Compared with the controls, both patient groups showed decreased functional connectivity between the left superficial amygdala and the left putamen, and between the (...) right superficial amygdala and the bilateral anterior cingulate cortex and medial orbitofrontal cortex, while only patients with anxiety exhibited decreased activity in the bilateral laterobasal and superficial amygdala. Moreover, the decreased activity correlated negatively with the Hamilton depression scale scores in the patients with anxiety. These findings provided insights into the pathophysiologic processes of anxious major depressive disorder and may help to develop new and effective treatment programs. (shrink)

本书包括:系统自然观、演进自然观、生态自然观、科学技术观、历史科学技术观、社会科学技术观等.

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 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.

Ben shu li zu yu si xiang zheng zhi jiao yu de xue ke shi jiao, ba xian Qin ru jia jiao hua si xiang shi wei yi ge guo cheng he xi tong, jiang yi ge xiang dui wan zheng de, xi tong de xian Qin ru jia "jiao hua" si xiang li ti shi de cheng xian chu lai; bing li zu yu dang dai she hui de xian dai xing jiao hua kun jing wen ti, ji ji (...) cong xian Qin ru jia jiao hua si xiang zhe yi "chuan tong" zhong xun qiu jie jue zhi dao, li tu chan fa xian Qin ru jia jiao hua si xiang de dang dai zhuan hua wen ti. (shrink)

v. 1 - 2. Yan Yuan wen ji -- v. 3 - 4. Li Gong wen ji -- v. 5. Yan shi xue ji. Yan Xizhai zhe xue si xiang shu -- v. 6. Yan Xizhai he Du Wei zhe xue si xiang ji jiao yu si xiang de bi jiao yan jiu. Yan Li xue pai -- v. 7. Yan Yuan ping zhuan. Yan Yuan yu Li Gong -- v. 8. Li Gong ping zhuan. Li Gong si xiang yan (...) jiu -- v. 9 - 10. Yan Li xue pai yan jiu wen xuan. (shrink)

Ru jia jing shen dui yu xian dang dai de Zhongguo ren lai shuo ying xiang shi ju da de, ru jia jing shen yi shen tou dao Zhongguo ren de yi yan yi xing zhong, shi ji shang cheng wei Zhonghua min zu nei ju de jing shen niu dai. ben shu zuo zhe yi qing song, you mei de bi diao xiang guang da du zhe xi tong jie shao liao ru jia jing shen de ji ben nei (...) han, li shi yan bian. ben shu shi guang da du zhe xue xi Zhongguo chuan tong wen hua de tong su du wu. (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 dui Han dai Huang lao zhi dao zuo le quan mian chan shu, she ji Huang lao dao jia si xiang de yan bian yu zhuan hua, Huang lao yang sheng zhi li deng, jie xi le dang shi zhong yao dian ji suo ti xian de huang lao xue shuo.

This article argues that agent-based modeling is the methodological implication of Lawson’s championed ontological turn in economics. We single out three major properties of agent-based computational economics, namely, autonomous agents, social interactions, and the micro-macro links, which have been well accepted by the ACE community. We then argue that ACE does make a full commitment to the ontology of economics as proposed by Lawson, based on his prompted critical realism. Nevertheless, the article also points out the current limitations or constraints (...) of ACE. Efforts to overcome them are deemed to be crucial before ACE can make itself more promising to the current ontological turn in economics. (shrink)

This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including anthropology, economics, finance, geography, history, linguistics, political science, psychology, public health, and mass communications. The second part of the book provides a panoramic view of the development of big data in the fields of computational (...) social sciences and humanities. The following questions are addressed: why is there a need for novel data governance for this new type of data?, why is big data important for social scientists?, and how will it revolutionize the way social scientists conduct research? With the advent of the information age and technologies such as Web 2.0, ubiquitous computing, wearable devices, and the Internet of Things, digital society has fundamentally changed what we now know as "data", the very use of this data, and what we now call "knowledge". Big data has become the standard in social sciences, and has made these sciences more computational. Big Data in Computational Social Science and Humanities will appeal to graduate students and researchers working in the many subfields of the social sciences and humanities. (shrink)

Background: Good nurses show concern for patients by caring for them effectively and attentively to foster their well-being. However, nurses cannot be taught didactically to be “good” or any trait that characterizes a good nurse. Nurses’ self-awareness of their role traits warrants further study. Objectives: This study aimed to develop a strategy to elicit nurses’ self-exploration of the importance of good nurse traits and to explore any discrepancies between such role traits perceived by nurses as ideally and actually important. Research (...) design: For this mixed-method study, we used good nurse trait card play to trigger nurses’ reflections based on clinical practice. Nurse participants appraised the ideal and actual importance of each trait using a Q-sort grid. The gap between the perceived ideal and actual importance of each trait was examined quantitatively, while trait-related clinical experiences were analyzed qualitatively. Participants and research context: Participants were 35 in-service nurses ; 10.1 years of nursing experience ) recruited from a teaching hospital in Taiwan. Ethical considerations: The study was approved by the Institutional Review Board of the study site. Findings: Good nurse trait card play with a Q-sort grid served as an icebreaker to help nurse participants talk about their experiences as embodied in good quality nursing care. Nurses’ perceived role–trait discrepancies were divided into three categories: over-performed, least discrepant, and under-performed. The top over-performed trait was “obedience.” Discussion: Patients’ most valued traits were perceived by participants as ideally important but were under-performed, perhaps due to experienced nurses’ loss of idealism. Conclusion: Good nurse trait card play with Q-sort grid elicited nurses’ self-dialogue and revealed evidence of the incongruity between nurses’ perceived ideal and actual importance of traits. The top over-performed trait, “obedience,” deserves more study. (shrink)

Existing research on leader humility primarily demonstrates its positive effects. This study challenges this view by proposing the potential negative effects of leader humility on followers’ behaviors. Furthermore, this paper employs the person-situation interactionist perspective to extend the research on integrating followers’ personality traits and leader humility. Specifically, this study proposed that leader humility triggers their followers’ sense of power; moreover, this study wagers that whether followers’ sense of power encourages self-interested or prosocial behavior in followers depends on their particular (...) Machiavellian traits. The theoretical model was tested using the time-lagged supervisor–subordinate matched data obtained. Our findings revealed that follower Machiavellianism fosters the relationship between a sense of power and self-interested behavior but it weakens the relationship between a sense of power and prosocial behavior. Thus, this study provides a better understanding regarding the effect of follower personality and leader humility on follower behavioral reactions. (shrink)

For a graph G, its variable sum exdeg index is defined as SEI a G = ∑ x y ∈ E G a d x + a d y, where a is a real number other than 1 and d x is the degree of a vertex x. In this paper, we characterize all trees on n vertices with first three maximum and first three minimum values of the SEI a index. Also, we determine all the trees of order n (...) with given diameter d and having first three largest values of the SEI a index. (shrink)

Several functional magnetic resonance imaging studies have demonstrated abnormalities in static intra- and interhemispheric functional connectivity among diverse brain regions in patients with major depressive disorder. However, the dynamic changes in intra- and interhemispheric functional connectivity patterns in patients with MDD remain unclear. Fifty-eight first-episode, drug-naive patients with MDD and 48 age-, sex-, and education level-matched healthy controls underwent resting-state fMRI. Whole-brain functional connectivity, analyzed using the functional connectivity density approach, was decomposed into ipsilateral and contralateral functional connectivity. We computed (...) the intra- and interhemispheric dynamic FCD using a sliding window analysis to capture the dynamic patterns of functional connectivity. The temporal variability in functional connectivity was quantified as the variance of the dFCD over time. In addition, intra- and interhemispheric static FCD patterns were calculated. Associations between the dFCD variance and sFCD in abnormal brain regions and the severity of depressive symptoms were analyzed. Compared to HCs, patients with MDD showed lower interhemispheric dFCD variability in the inferior/middle frontal gyrus and decreased sFCD in the medial prefrontal cortex/anterior cingulate cortex and posterior cingulate cortex/precuneus in both intra- and interhemispheric comparisons. No significant correlations were found between any abnormal dFCD variance or sFCD at the intra- and interhemispheric levels and the severity of depressive symptoms. Our results suggest intra- and interhemispheric functional connectivity alterations in the dorsolateral prefrontal cortex and default mode network regions involved in cognition, execution and emotion. Furthermore, our study emphasizes the essential role of altered interhemispheric communication dynamics in the DLPFC in patients with MDD. These findings contribute to our understanding of the pathophysiology of MDD. (shrink)

Risk management has become a vital topic both in academia and practice during the past several decades. Most business intelligence tools have been used to enhance risk management, and the risk management tools have benefited from business intelligence approaches. This introductory article provides a review of the state-of-the-art research in business intelligence in risk management, and of the work that has been actepted for publication in this issue.

This paper models the game process of the value cocreation of enterprises based on evolutionary game theory. The factors influencing value cocreation are found through mathematical analysis. Taking iFLYTEK as an example, a representative enterprise of artificial intelligence in China, six factors affecting value cocreation are verified, which are the excess return rate, the distribution coefficient of the excess return rate, coordination costs in the system, the cost-sharing coefficient, imitation costs, and penalties. These six factors have a profound impact on (...) value cocreation in the ecosystem. Through the case study of iFLYTEK, it is concluded that innovation ecosystems can enable small- and medium-sized AI enterprises to grow. In order to build a sound ecosystem, we need to establish a mechanism to select partners, reduce the costs of cooperation, and strengthen the protection of intellectual property. At the beginning of the cooperation, it is necessary to establish a mechanism with clear responsibilities, rights, and interests. The conclusion is of great significance to the development of AI enterprises. (shrink)

Although statistical learning (SL) has been studied extensively in developmental dyslexia (DD), less attention has been paid to other fundamental challenges in language acquisition, such as cross-situational word learning. Such investigation is important for determining whether and how SL processes are affected in DD at the word level. In this study, typically developed (TD) adults and young adults with DD were exposed to a set of trials that contained multiple spoken words and multiple pictures of individual objects, with no information (...) about word-referent correspondences provided within a trial. Nonetheless, cross-trial statistical relations could be exploited to learn word-referent mappings. The degree of within-trial reference uncertainty and the novelty of to-be-learned objects (novel or familiar) were varied under different learning conditions. The results show that across all conditions, young adults with DD were significantly impaired in their ability to exploit cross-trial regularities in co-occurring visual–auditory streams to discover word-referent mappings. Observed impairments were most pronounced when within-trial reference uncertainty was the highest. Subjective measures of knowledge awareness revealed greater development of implicit but not explicit knowledge in the TD group than in the DD group. Together, these findings suggest that the SL deficit in DD affects fundamental language learning challenges at the word level and points to greater reliance on explicit processes due to impaired implicit associative learning among individuals with DD. Such a deficit is likely to influence spoken language acquisition, and in turn affect literacy skills, in people with DD. (shrink)

Previous research shows that people can use the co-occurrence of words and objects in ambiguous situations (i.e., containing multiple words and objects) to learn word meanings during a brief passive training period (Yu & Smith, 2007). However, learners in the world are not completely passive but can affect how their environment is structured by moving their heads, eyes, and even objects. These actions can indicate attention to a language teacher, who may then be more likely to name the attended objects. (...) Using a novel active learning paradigm in which learners choose which four objects they would like to see named on each successive trial, this study asks whether active learning is superior to passive learning in a cross-situational word learning context. Finding that learners perform better in active learning, we investigate the strategies and discover that most learners use immediate repetition to disambiguate pairings. Unexpectedly, we find that learners who repeat only one pair per trial—an easy way to infer this pair—perform worse than those who repeat multiple pairs per trial. Using a working memory extension to an associative model of word learning with uncertainty and familiarity biases, we investigate individual differences that correlate with these assorted strategies. (shrink)

Digitized information and network have made an enormous impact on the music and movie industries. Internet piracy is popular and has greatly threatened the companies in these industries. This study tests Hunt-Vitell’s ethical decision model and attempts to understand why and how people share unauthorized music files with others in the peer-to-peer (P2P) network. The norm of anti-piracy, the ideology of free software, the norm of reciprocity, and the ideology of consumer rights are proposed as four deontological norms related to (...) using P2P systems. The model is tested using a scenario survey with four alternatives; the results indicate that the deontological norm of anti-piracy is not a main factor in affecting P2P users’ ethical considerations regarding sharing files with others. This finding suggests that to protect their property rights, record companies should try to realize the consumer benefits brought via new digital and network technology, instead of simply declaring their intellectual property and resisting the innovations resulting from new technologies. (shrink)