The purposes of research were to describe the neonatal clinicians' personal views and attitudes on neonatal ethical decision-making, to identify factors that might affect these attitudes and to compare the attitudes between neonatal physicians and neonatal nurses in Taiwan. Research was a cross-sectional design and a questionnaire was used to reach different research purposes. A convenient sample was used to recruit 24 physicians and 80 neonatal nurses from four neonatal intensive care units in Taiwan. Most participants agreed with suggesting a (...) do not resuscitate (DNR) order to parents for dying neonates (86.5%). However, the majority agreed with talking to patients about DNR orders is difficult (76.9%). Most participants agree that review by the clinical ethics committee is needed before the recommendation of ‘DNR’ to parents (94.23%) and nurses were significantly more likely than physicians to agree to this (p=0.043). During the end-of-life care, most clinicians accepted to continue current treatment without adding others (70%) and withholding of emergency treatments (75%); however, active euthanasia, the administration of drug to end-of-life, was not considered acceptable by both physicians and nurses in this research (96%). Based on our research results, providing continuing educational training and a formal consulting service in moral courage for neonatal clinicians are needed. In Taiwan, neonatal physicians and nurses hold similar values and attitudes towards end-of-life decisions for neonates. In order to improve the clinicians' communication skills with parents about DNR options and to change clinicians' attitudes for providing enough pain-relief medicine to dying neonates, providing continuing educational training and a formal consulting service in moral courage are needed. (shrink)

Problematic smartphone use is an expanded public health heed that requires more study to clarify the influence elements of different populations. The aim of this study was to investigate the relationship between smartphone use, and sleep quality, self-perceived health, and exercise participation in university students. A total of 1,575 Taiwanese undergraduate students from 7 universities participated in the study. Three questionnaires were completed by the study individuals. The results show the overall PSU rate was 11.8%. Average smartphone users were more (...) likely to feel in good health, better sleep quality and less unsatisfactory exercise participation than those who were problematic smartphone users. Multiple logistic regression analysis indicated that PSU, low weekly exercise frequency, and poor sleep quality were significant indicators of poor self-perceived health. We concluded that both low physical activity and PSU did have negative impacts on self-perceived health and sleep quality for undergraduate students. (shrink)

ABSTRACTThe current scales for self-blame are not suitable for school bullying scenarios and most lack validity. This study used a self-developed scale to measure bullied victims’ tendency to self-...

This paper proposes a constrained solution update strategy for multiobjective evolutionary algorithm based on decomposition, in which each agent aims to optimize one decomposed subproblem. Different from the existing approaches that assign one solution to each agent, our approach allocates the closest solutions to each agent and thus the number of solutions in an agent may be zero and no less than one. Regarding the agent with no solution, it will be assigned one solution in priority, once offspring are generated (...) closest to its subproblem. To keep the same population size, the agent with the largest number of solutions will remove one solution showing the worst convergence. This improves diversity for one agent, while the convergence of other agents is not lowered. On the agent with no less than one solution, offspring assigned to this agent are only allowed to update its original solutions. Thus, the convergence of this agent is enhanced, while the diversity of other agents will not be affected. After a period of evolution, our approach may gradually reach a stable status for solution assignment; i.e., each agent is only assigned with one solution. When compared to six competitive multiobjective evolutionary algorithms with different population selection or update strategies, the experiments validated the advantages of our approach on tackling two sets of test problems. (shrink)

Photovoltaic power forecasting can provide strong support for the safe operation of the power system. Existing forecasting methods are ineffective for grid scheduling decisions or risk analysis. The novel multicluster interval prediction method is proposed to consider the volatility and randomness of PV power output. First, this method utilizes the sparse autoencoder and Bayesian regularized NARX network for point forecasting of PV power. Second, density peak clustering improved by kernel Mahalanobis distance is applied to classify the dataset into multiple clusters, (...) including forecasting error and meteorological factors. Finally, the joint probability density is established by multivariate kernel density estimation to accomplish the PV power interval prediction. The proposed hybrid method is applied for the interval prediction of PV power at Yulara, Australia. Comparative research of point forecasting is implemented to evaluate the machine learning and deep learning methods, with the proposed SAE-BRNARX under four different periods. Results shows that the average values of nRMSE, MRE, nMAE, and R2 for the four periods are 4.45%, 0.90%, −0.15%, 3.39%, and 95.93%, respectively. Moreover, the results of interval prediction obtained by the other interval prediction approaches are compared with the proposed KMDDPC-MKDE. It shows that the average values of PICP, PINAW, ACE, and nMPICD for four periods are 93.93%, 9.50%, 3.93%, and 7.10% at 90% confidence level, respectively. Outcomes demonstrate that the proposed method can obtain more accuracy, a higher coverage rate, narrower average bandwidth, and a closer distance between the middle of interval and actual value than other methods. (shrink)

Evidence suggests divergent thinking is the cognitive basis of creative thoughts. Neuroimaging literature using resting-state functional connectivity has revealed network reorganizations during divergent thinking. Recent studies have revealed the changes of network organizations when performing creativity tasks, but such brain reconfigurations may be prolonged after task and be modulated by the trait of creativity. To investigate the dynamic reconfiguration, 40 young participants were recruited to perform consecutive Alternative Uses Tasks for divergent thinking and two resting-state scans were used for mapping (...) the brain reorganizations after AUT. We split participants into high- and low-creative groups based on creative achievement questionnaire and targeted on reconfigurations of the two brain networks: default-mode network and the network seeded at the left inferior frontal gyrus because the between-group difference of AUT-induced brain activation located at the left IFG. The changes of post-AUT RSFCs indicated the prolonged effect of divergent thinking. More specifically, the alterations of RSFCIFG−AG and RSFCIFG−IPL in the high-creative group had positive relationship with their AUT performances, but not found in the low-creative group. Furthermore, the RSFC changes of DMN did not present significant relationships with AUT performances. The findings not only confirmed the possibility of brain dynamic reconfiguration following divergent thinking, but also suggested the distinct IFGN reconfiguration between individuals with different creativity levels. (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)

Emotional design is an important development trend of interaction design. Emotional design in products plays a key role in enhancing user experience and inducing user emotional resonance. In recent years, based on the user's emotional experience, the design concept of strengthening product emotional design has become a new direction for most designers to improve their design thinking. In the emotional interaction design, the machine needs to capture the user's key information in real time, recognize the user's emotional state, and use (...) a variety of clues to finally determine the appropriate user model. Based on this background, this research uses a deep learning mechanism for more accurate and effective emotion recognition, thereby optimizing the design of the interactive system and improving the user experience. First of all, this research discusses how to use user characteristics such as speech, facial expression, video, heartbeat, etc., to make machines more accurately recognize human emotions. Through the analysis of various characteristics, the speech is selected as the experimental material. Second, a speech-based emotion recognition method is proposed. The mel-Frequency cepstral coefficient of the speech signal is used as the input of the improved long and short-term memory network. To ensure the integrity of the information and the accuracy of the output at the next moment, ILSTM makes peephole connections in the forget gate and input gate of LSTM, and adds the unit state as input data to the threshold layer. The emotional features obtained by ILSTM are input into the attention layer, and the self-attention mechanism is used to calculate the weight of each frame of speech signal. The speech features with higher weights are used to distinguish different emotions and complete the emotion recognition of the speech signal. Experiments on the EMO-DB and CASIA datasets verify the effectiveness of the model for emotion recognition. Finally, the feasibility of emotional interaction system design is discussed. (shrink)

Joining the dialogue on the role of management scholars, we propose to cultivate all-round scholars to fulfill the needs of our stakeholders; only by becoming responsible scholars can we achieve responsible scholarship.

With the development of distributed networks, the remote controllability of the distributed energy objects and the vulnerability of user-side information security protection measures make distributed energy objects extremely vulnerable to malicious control by attackers. Hence, the large-scale loads may produce abnormal operation performance, such as load casting/dropping synchronously or frequent and synchronous casting and dropping, and hence, it can threaten the security and stable operation of the distribution networks. First, we analyze the security threats faced by industrial controllable load, civil (...) controllable load, and the gains and losses of attacks on the distribution networks. Considering the factors of cyber attacks, we propose a control model and cyber attack model in active distribution networks. And, three types of attacks that the target suffered are defined on the basis of “on” and “off” modes for control. Then, the controllable load was maliciously controlled as the research object, and a suitable scenario is selected. The impact of malicious control of the controllable load on the power supply reliability and power quality of the distribution networks are simulated and analyzed, and risk consequences for different types of attacks are provided. (shrink)

The purpose of this study is to explore the causal relationship among athlete gratitude, athlete engagement, athlete burnout by cross-lag analysis of longitudinal associations. Two questionnaire surveys were conducted on 352 Chinese athletes with an interval of 1 year using gratitude questionnaire, athlete engagement questionnaire and athlete burnout questionnaire. The analysis yielded four main findings. The overall level of athlete gratitude and athlete engagement was high in China. Chinese athletes at master level had higher levels of gratitude and athlete engagement (...) than athletes at I and II grades. Athlete gratitude is a significant negative predictor of athlete burnout, and also a significant positive predictor of athlete engagement. Athlete engagement and athlete burnout are mutually causal and can be mutually predicted. Athlete gratitude indirectly affects athlete burnout through athlete engagement, and also indirectly affects athlete engagement through athlete burnout. The results of the current study demonstrated the important value of gratitude in the growth process of athletes, and clarified the mechanism of gratitude affecting athlete engagement and athlete burnout. These findings have important implications for athlete development by raising athlete gratitude, motivating athlete engagement levels and relieve athlete burnout. (shrink)

ObjectiveInvestigating the mental health status of Chinese resident physicians during the 2019 new coronavirus outbreak.MethodsA cluster sampling method was adopted to collect all China-wide resident physicians during the epidemic period as the research subjects. The Symptom Checklist-90 self-rating scale was used to assess mental health using WeChat electronic questionnaires.ResultsIn total, 511 electronic questionnaires were recovered, all of which were valid. The negative psychological detection rate was 93.9%. Among the symptoms on the self-rating scale, more than half of the Chinese resident (...) physicians had mild to moderate symptoms of mental unhealthiness, and a few had asymptomatic or severe unhealthy mental states. In particular, the detection rate of abnormality was 88.3%, obsessive-compulsive symptoms was 90.4%, the sensitive interpersonal relationship was 90.6%, depression abnormality was 90.8% /511), anxiety abnormality was 88.3%, hostility abnormality was 85.3%, terror abnormality was 84.9%, paranoia abnormality was 86.9%, psychotic abnormalities was 89.0%, and abnormal sleeping and eating status was 90.8%. The scores of various psychological symptoms of pediatric resident physicians were significantly lower than those of non-pediatrics.ConclusionThe new coronavirus epidemic has a greater impact on the mental health of Chinese resident physicians. (shrink)

The question of what determines brain laterality for auditory cognitive processing is unresolved. Here, we demonstrate a swap of hemisphere dominance from right to left during semantic interpretation of Chinese lexical tones in native speakers using simultaneously recorded mismatch negativity response and behavioral reaction time during dichotic listening judgment. The mismatch negativity, which is a brain wave response and indexes auditory processing at an early stage, indicated right hemisphere dominance. In contrast, the behavioral reaction time, which reflects auditory processing at (...) a later stage, indicated a right ear listening advantage, or left hemisphere dominance. The observed swap of hemisphere dominance would not occur when the lexical tone was substituted with a meaningless pure tone. This swap reveals dependence of hemisphere labor division initially on acoustic and then on functional cues of auditory inputs in the processing from sound to meaning. (shrink)

Understanding the neural basis of schizophrenia (SZ) is important for shedding light on the neurobiological mechanisms underlying this mental disorder. Structural and functional alterations in the anterior cingulate cortex (ACC), dorsolateral prefrontal cortex (DLPFC), hippocampus, and medial prefrontal cortex (MPFC) have been implicated in the neurobiology of SZ. However, the effective connectivity among them in SZ remains unclear. The current study investigated how neuronal pathways involving these regions were affected in first-episode SZ using functional magnetic resonance imaging (fMRI). Forty-nine patients (...) with a first-episode of psychosis and diagnosis of SZ—according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision—were studied. Fifty healthy controls (HCs) were included for comparison. All subjects underwent resting state fMRI. We used spectral dynamic causal modeling (DCM) to estimate directed connections among the bilateral ACC, DLPFC, hippocampus, and MPFC. We characterized the differences using Bayesian parameter averaging (BPA) in addition to classical inference (t-test). In addition to common effective connectivity in these two groups, HCs displayed widespread significant connections predominantly involved in ACC not detected in SZ patients, but SZ showed few connections. Based on BPA results, SZ patients exhibited anterior cingulate cortico-prefrontal-hippocampal hyperconnectivity, as well as ACC-related and hippocampal-dorsolateral prefrontal-medial prefrontal hypoconnectivity. In summary, spectral DCM revealed the pattern of effective connectivity involving ACC in patients with first-episode SZ. This study provides a potential link between SZ and dysfunction of ACC, creating an ideal situation to associate mechanisms behind SZ with aberrant connectivity among these cognition and emotion-related regions. (shrink)

My friends, what I intend to do here is not simply to present a thesis. Rather, I will follow the main subject of this seminar, namely "The Possibilities and Questions in the Teaching and Transmitting Chinese Philosophy," concentrating in this lecture on the core concepts of neo-Confucianism.

该书内容涵盖马克思历史观的思想背景、时代愿望的时代自我阐明、人的感性活动与历史来历、人的现实生存与叙述历史等六部分。.

本书选收有梁漱溟、马浮、熊十力、冯友兰等8位学者的文章52篇,其中有《论西来学术亦统于六艺》、《佛法》、《考治与民文》等。.

本书以近代文明冲突为视角,通过对梁漱溟与陈序经这样两个思想极端对立的代表性人物的比较研究,对中国伦理社会的历史由来、内在特质、近代考验、未来可能等作了一番梳理,并对中国传统文化的出路等问题作了进一步的 认识和思考 --.

Di 1 bian. Kongzi si xiang ji lun yu -- di 2 bian. Mengzi si xiang ji Meng Xun tong yi -- di 3 bian. Gaozi si xiang -- di 4 bian. Ming li -- di 5 bian. Jiao yu xiu yang Wen hua.

In this book, the author adopts the methodology of "discussing philosophy by studying history of philosophy". The chapters in the book discuss the essential content of The Study of Renxue Ontology, Ren's development in pre-Qin (before 206BC) and Han period (206BC-220), Ren theories in Song Dynasty (960-1279) and Ming Dynasty (1368-1644). It covers topics ranging from Confucius and Mencius' classic theories to Li Zehou's ontology of emotions as well as the development of Ren in the historical context and its (...) contemporary interpretations. The book develops the theory of Ren and Taoist style of classical Confucianism while critically incorporating modern Chinese philosophical ontology. The resulting philosophical construction incorporates classical Confucian Ren theory and classical Confucian Ren theory and the continuation of and responses to the arguments of modern Chinese philosophy, thus offering a comprehensive and innovative coverage of contemporary Chinese Confucianism. The book combines Chinese contemporary cultural heritage and creative development to promote contemporary Confucianism and harmony between China and the world. (shrink)

Traditionally, comparative literature has focused on the study of influences between texts and it is only recent work that has explored the analogies and affinitiesof historically independent cultures. In this spirit, this paper develops methods for a structured poetic analysis and applies them to a systematic comparison of thepoem “Niǎo Mǐng Jiàn” from the 8th-century Chinese poet Wáng Wéi and the program piece of Paul Celan’s Atemwende: “Du Darfst,” based upon a detailed analysis of their poetics. The analysis and translation (...) reveals how both poems employ words and images as signs without reference, and create dialogical gaps through ambiguity and impersonality. Thus, despite their cultural and historical separation, both poetic texts become “hermetic,” and both poets apply the “hermetic” as a method of inquiry into truth, a truth that cannot be simply pronounced, but needs to be cowitnessed, or heard in silence. It is through this meaningful “silence” that their poetry invites readers and translators all the more perceptively to engage in meaningful conversations. These results entail encouraging perspectives for the question of the limits of translation, especially with regard to east-western studies and for crosscultural comparative literature. Thus, the paper supports Prof. Li Qingben’s and Prof. Guo Jinghua’s claim for a multi-dimensional framework in the study of East-West cultural influences. (shrink)

Ben shu shou ci dui ming mo qing chu zui fu sheng ming de hui zu san da han wen yi zhu jia--Wang Daiyu, Ma Zhu, Liu Zhi de zheng zhi lun li si xiang, jing ji lun li si xiang, hun yin jia ting lun li si xiang, ren xing shan e guan, dao de xiu yang guan jin xing le quan fang wei, duo jiao du de shu li, gou chen he kao cha.

Editor's AbstractThis essay presents Mainland New Confucianism (MNC) as diverse but distinctive, as still in a process of maturation but already with a clear direction. According to Chen, MNC is a rejection of the twin modernist narratives of the left (revolution) and the right (enlightenment) in favor of a narrative that downplays the ruptures associated with the May Fourth Movement and instead seeks to reconnect to China's past values and traditions.