Objective: This meta-analysis evaluated the efficacy of acupuncture in improving cognitive impairment of post-stroke patients.Design: Randomized controlled trials investigating the effects of acupuncture compared with no treatment or sham acupuncture on post-stroke cognitive impairment before December 2019 were identified from databases. The literature searching and data extracting were independently performed by two investigators. Study quality was assessed using the Cochrane Handbook for Systematic Reviews of Interventions. Meta-analyses were performed for the eligible RCTs with Revman 5.3 software.Results: Thirty-seven RCTs were included (...) in this meta-analysis. Merged Random-effects estimates of the gain of MMSE or MoCA were calculated for the comparison of acupuncture with no acupuncture or sham acupuncture. Following 2–8 weeks of intervention with acupuncture, pooled results demonstrated significant effects of acupuncture in improving PSCI assessed by MMSE or MoCA.Conclusion: The results suggest that acupuncture was effective in improving PSCI and supported the needs of more rigorous design with large-scale randomized clinical trials to determine its therapeutic benefits. (shrink)

本书从如何锻炼健美的体魄、选择最佳的衣着、培养优美的风度、掌握正确的交际方法出发,帮助青年朋友迈好涉足爱河的第一步,探讨如何巩固、升华美好的爱情。.

ObjectivesWomen who underwent chemotherapy for metastatic breast cancer used both adaptive and maladaptive coping strategies but had low implementation levels. The present study explores the qualitative experience of coping strategies for women with MBC undergoing CT in Beijing.MethodsA hermeneutic phenomenological approach was employed on twenty Chinese MBC women undergoing CT. These interviews were transcribed verbatim, coded using thematic analysis, and analyzed using NVivo 11.ResultsThree themes are highlighted: Maintaining hope; Spiritual growth, and Self-perceived support resources.ConclusionThe present study results have led to (...) a greater understanding of the tremendous impact of CT on MBC women’s lives. This research provides insight into the scope of maintaining hope. Spiritual growth and self-perceived support resources were crucial factors to coping strategies among MBC women to improve their quality of life.Clinical RelevanceBy attaining the adaptive coping strategies and further understanding about Chinese MBC women, health care professionals are encouraged to appraise MBC women’s specific problems and adopt effective interventions to improve MBC women’s psychosocial wellbeing. (shrink)

The adaptive object model method is an effective way to develop dynamic and configurable adaptive software. It has the characteristics of metamodel, description drive, and runtime reflection. First, the core idea of the adaptive object model is explained; then, the five modes of establishing the metamodel in the adaptive object model architecture, the model engine, and supporting tools are analyzed; and the basketball tracking algorithm of the adaptive object model is discussed. Secondly, a two-dimensional joint information strategy is proposed to (...) improve the tracking effect. When the basketball is in a very complex environment, there will always be some color information in the background that is the same as the target, which affects the effect of basketball tracking. Therefore, this paper proposes a Camshift tracking method based on the significance of histograms, through real time. The basketball movement is compared with the background histogram to continuously adjust the basketball movement tracking model. These two methods can better establish the tracking model of the basketball adaptive object, reduce the interference of background information, and achieve the effect of stable tracking of the target. The simulation experiment results show that the method proposed in this paper can effectively improve the accuracy of the basketball goal model and achieve stable tracking of the goal. (shrink)

BackgroundBoosting the individual learning passion of medical students is a novel approach to improve their academic performance. It facilitates the medical education reform, motivating both policymakers and educators to focus on the function of positive psychology in the career development of medical students. Therefore, this study aimed to assess the status of two types of learning passion; to clarify the relationship between self-esteem and two types of learning passion among Chinese medical students; to examine the mediating role of psychological capital (...) in the relationship between self-esteem and two types of learning passion, respectively; and to identify the moderating role of professional identity in the relationship between PsyCap and two types of learning passion, respectively.MethodsA cross-sectional online survey was conducted from April to June 2016 in China. A total of 1,218 valid questionnaires were collected from four medical schools.ResultsSelf-esteem significantly and positively influenced medical students’ PsyCap.ConclusionTwo types of learning passion of medical students are positively influenced by self-esteem and PsyCap. Medical students with high-level self-esteem should possess strong PsyCap, which augments their harmonious as well as obsessive learning passion. Moreover, the positive effect of medical students’ PsyCap on harmonious learning passion is more notable among those with a lower professional identity. Finally, this study argues that strengths-based interventions of self-esteem and PsyCap are a beneficial approach for future enhancing learning passion in the domain of medical education. (shrink)

Neurological diseases (NDs), featured by progressive dysfunctions of the nervous system, have become a growing burden for the aging populations. N‐Deacetylase and N‐sulfotransferase 3 (NDST3) is known to catalyze deacetylation and N‐sulfation on disaccharide substrates. Recently, NDST3 is identified as a novel deacetylase for tubulin, and its newly recognized role in modulating microtubule acetylation and lysosomal acidification provides fresh insights into ND therapeutic approaches using NDST3 as a target. Microtubule acetylation and lysosomal acidification have been reported to be critical for (...) activities in neurons, implying that the regulators of these two biological processes, such as the previously known microtubule deacetylases, histone deacetylase 6 (HDAC6) and sirtuin 2 (SIRT2), could play important roles in various NDs. Aberrant NDST3 expression or tubulin acetylation has been observed in an increasing number of NDs, including amyotrophic lateral sclerosis and frontotemporal dementia (ALS/FTD), schizophrenia and bipolar disorder, Alzheimer's disease (AD), and Parkinson's disease (PD), suggesting that NDST3 is a key player in the pathogenesis of NDs and may serve as a target for development of new treatment of NDs. (shrink)

The valence–arousal conflict theory assumes that both valence and arousal will trigger approaching or withdrawing tendencies. It also predicts that the speed of processing emotional stimuli will depend on whether valence and arousal trigger conflicting or congruent motivational tendencies. However, most previous studies have provided evidence of the interaction between valence and arousal only, and have not provided direct proof of the interactive links between valence, arousal and motivational tendencies. The present study provides direct evidence for the relationship between approach–withdrawal (...) tendencies and the valence–arousal conflict. In an empirical test, participants were instructed to judge the valence of emotional words after visual–spatial cues that appeared to be either approaching or withdrawing from participants. A three-way interaction was observed such that the response time was shorter if participants responded to a negative high-arousal stimulus after a withdrawing cue, or to a positive low-arousal stimulus after an approaching cue. These findings suggest that the approach–withdrawal tendency indeed plays a crucial role in valence–arousal conflict, and that the effect depends on the congruency of valence, arousal and tendency at an early stage of processing. (shrink)

The purpose of this paper is to analyze the relationship between positive psychological quality and college students’ sense of responsibility for innovation and entrepreneurship from the perspective of positive psychology, explore the cultivation model that can effectively improve college students’ sense of responsibility for innovation and entrepreneurship, and promote their success in entrepreneurship. In this study, a total of 1,500 college students were selected for questionnaire survey. ANOVA was used to analyze the differences of innovation and entrepreneurship responsibilities in demographic (...) variables; factor analysis models were used to explore the factors that influence college students’ sense of responsibility for innovation and entrepreneurship; and Spearsman correlation and linear regression were used to analyze the relationship between college students’ positive quality and innovation and entrepreneurship. The results showed that the average scores of individual responsibility, team responsibility and social responsibility were 3.290, 3.624 and 3.720, respectively; individual responsibility differed significantly at the grade level; group responsibilities and social responsibilities were significantly different at the grade and gender levels; the linear fitting between benevolence, super-excellence, bravery, restraint, and wisdom with team responsibilities all reached significant levels, among which the wisdom coefficient was the highest; the linear fitting between syngroup, excellence, bravery, modesty and wisdom with social responsibility reached a significant level, among which the wisdom coefficient was the highest; the linear fitting between syngroup, excellence, bravery, modesty and wisdom with personal responsibility reached a significant level, among which the coefficient of excellence was the highest. This indicated that positive psychological qualities such as syngroup, excellence, modesty, benevolence, super-excellence, bravery, restraint, and wisdom were the influencing factors of college students’ sense of responsibility for innovation and entrepreneurship. Among them, the role of wisdom is the most noteworthy in predicting social and group responsibilities, and super-excellent is the most significant predictor for individual responsibility. (shrink)

Aiming at suppressing harmful effect for building structure by surface motion, semiactive nonsmooth control algorithm with Deep Learning is proposed. By finite-time stable theory, the building structure closed-loop system’s stability is discussed under the proposed control algorithm. It is found that the building structure closed-loop system is stable. Then the proposed control algorithm is applied on controlling the building structural vibration. The seismic action is chosen as El Centro seismic wave. Dynamic characteristics have comparative analysis between semiactive nonsmooth control and (...) passive control in two simulation examples. They demonstrate that the designed control algorithm has great robustness and anti-interference. The proposed control algorithm is more effective than passive control in suppressing structural vibration. (shrink)

We here review primary methods used in quantifying and mapping 5‐hydroxymethylcytosine (5hmC), including global quantification, restriction enzyme‐based detection, and methods involving DNA‐enrichment strategies and the genome‐wide sequencing of 5hmC. As discovered in the mammalian genome in 2009, 5hmC, oxidized from 5‐methylcytosine (5mC) by ten‐eleven translocation (TET) dioxygenases, is increasingly being recognized as a biomarker in biological processes from development to pathogenesis, as its various detection methods have shown. We focus in particular on an ultrasensitive single‐molecule imaging technique that can detect (...) and quantify 5hmC from trace samples and thus offer information regarding the distance‐based relationship between 5hmC and 5mC when used in combination with fluorescence resonance energy transfer. (shrink)

The construal of the self is related to individuals' cognition, emotion and behavior. The aim of this study was to investigate shame in the context of interdependent-self and independent-self culture. 163 Chinese and 196 American college undergraduates completed a questionnaire about their reaction to 3 different scenarios about shameful events involving 5 different persons including self, mother, boy/girl friend, best friend and classmate. The participants reported the intensity of shame they felt in each of the situation and how close they (...) were related to other people in the scenarios. The results demonstrated that there is a significant difference between Chinese and American participants on the levels of shame across all the scenarios, as well as for the persons involved in the scenario. It was also found that the intensity of shame was reduced as the relationship between the participants and the persons involved in the shameful events becomes remote in social distance. A significant correlation was found between closeness of relationship and intensity of shame felt. Implications for understanding cultural differences to emotions and future studies are discussed. (shrink)

The disembodiment of cognitive science has resulted in curricula with disembodied concepts and practice. The emergence of the embodied cognitive science provoked public reflections on the nature of the curriculum. This has elevated the body from the ‘peripheral’ position to the ‘central’ position, acting as the subject in action and becoming the bridge to experience transformations. Meanwhile, the nurturing role of the environment for the mind is attracting increasingly more attention, and the environment, the body, and the mind jointly constitute (...) a dynamic system that prompts the transformation and restructuring of learners’ experience. The reshaping of the relationship between the body and education and the integration of physical experience and mind-building have led us to examine curriculum from a completely new perspective, and curriculum construction is thus transformed to the dynamic generation of interaction among the body, the mind, and the environment based on group experiences. To be precise, there are three basic dimensions in the construction of an embodied curriculum: returning to the life-world and promoting the integration of the curriculum narrative framework and the student’s learning trajectory; introducing the embodied experience and realizing the continuous interactions among the learner’s body, mind, and environment; and integrating the functions of technologies to provide a powerful mediating tool for the construction of embodied curriculum. (shrink)

One of the most significant challenges in the application of brain-computer interfaces is the large performance variation, which often occurs over time or across users. Recent evidence suggests that the physiological states may explain this performance variation in BCI, however, the underlying neurophysiological mechanism is unclear. In this study, we conducted a seven-session motor-imagery experiment on 20 healthy subjects to investigate the neurophysiological mechanism on the performance variation. The classification accuracy was calculated offline by common spatial pattern and support vector (...) machine algorithms to measure the MI performance of each subject and session. Relative Power values from different rhythms and task stages were used to reflect the physiological states and their correlation with the BCI performance was investigated. Results showed that the alpha band RP from the supplementary motor area within a few seconds before MI was positively correlated with performance. Besides, the changes of RP between task and pre-task stage from theta, alpha, and gamma band were also found to be correlated with performance both across time and subjects. These findings reveal a neurophysiological manifestation of the performance variations, and would further provide a way to improve the BCI performance. (shrink)

A model predictive control method based on recursive backpropagation neural network and genetic algorithm is proposed for a class of nonlinear systems with time delays and uncertainties. In the offline modeling stage, a multistep-ahead predictor with GA-RBP neural network is designed, where GA-BP neural network is used as a one-step prediction model and GA is employed to train the initial weights and bias of the BP neural network. The incorporation of GA into RBP can reduce the possibility of the BP (...) neural network falling into a local optimum instead of reaching global optimization. In the online optimizing stage, a multistep-ahead GA-RBP neural network predictor and an improved gradient descent method are proposed to efficiently solve the online optimization problem of nonlinear MPC by minimizing a modified quadratic criterion. The designed MPC strategy can avoid information loss while linearizing the controlled system and computing the Hessian matrix and its inverse matrix. Experimental results show that the proposed approach can reduce the computational burden and improve the performance of MPC for the solution of nonlinear controlled systems. (shrink)

We study a joint pricing and inventory control problem for perishables with positive lead time in a finite horizon periodic-review system. Unlike most studies considering a continuous density function of demand, in our paper the customer demand depends on the price of current period and arrives according to a homogeneous Poisson process. We consider both backlogging and lost-sales cases, and our goal is to find a simultaneously ordering and pricing policy to maximize the expected discounted profit over the planning horizon. (...) When there is no fixed ordering cost involved, we design a deep reinforcement learning algorithm to obtain a near-optimal ordering policy and show that there are some monotonicity properties in the learned policy. We also show that our deep reinforcement learning algorithm achieves a better performance than tabular-based Q-learning algorithms. When a fixed ordering cost is involved, we show that our deep reinforcement learning algorithm is effective and efficient, under which the problem of “curse of dimension” is circumvented. (shrink)

With the rapid development of social network in recent years, the threshold of information dissemination has become lower. Most of the time, rumors, as a special kind of information, are harmful to society. And once the rumor appears, the truth will follow. Considering that the rumor and truth compete with each other like light and darkness in reality, in this paper, we study a rumor spreading model in the homogeneous network called 2SIH2R, in which there are both spreader1 and spreader2. (...) In this model, we introduced discernible mechanism and confrontation mechanism to quantify the level of people's cognitive abilities and the competition between the rumor and truth. By mean-field equations, steady-state analysis, and numerical simulations in a generated network which is closed and homogeneous, some significant results can be given: the higher the discernible rate of the rumor, the smaller the influence of the rumor; the stronger the confrontation degree of the rumor, the smaller the influence of the rumor; the larger the average degree of the network, the greater the influence of the rumor but the shorter the duration. The model and simulation results provide a quantitative reference for revealing and controlling the spread of the rumor. (shrink)

A new three-order piecewise function was used to smoothen the model of Support Vector Machine( SVM) and a Third-order Piecewise Smooth SVM( TPSSVM) was proposed. By theory analyzing, approximation accuracy of the smooth function to the plus function is higher than that of the available. When dealing with the multi-class problem, a coding method of multi-class classification based on one-against-rest was proposed. Principal Component Analysis( PCA) was employed to extract the main features of face image set, and multi-class classification of (...) smooth SVM was used for face recognition. The experimental results on ORL and FERET face databases show that the recognition rate of smooth SVM for multi-class classification is better than the traditional identification methods. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:258 Feminist Studies 47, no. 2. © 2021 by Feminist Studies, Inc. Mei-Hua Chen and Hong-zen Wang Flexible Intimacies in the Global Intimate Economy: Evidence from Taiwan’s Cross-Border Marriages When Lin Ping was interviewed by the first author of this article at a detention center in the southern city of Tainan, Taiwan, in September 2006, she was forty-three. At that time, she had been married to a Taiwanese (...) man for five years and had successfully obtained a permit for employment at a factory, earning NT$27,000 a month for working ten hours a day. However, before having obtained the work permit, Lin managed to find jobs in informal sectors as a cleaner, a care worker, and a stall vendor’s helper, earning NT$15,000 a month. By the time of our interview, Lin had gone to work at a brothel because she could not put up with her husband anymore. Lin’s husband is twenty years older than she is and, as she described their relationship, the huge age gap makes communication between the couple difficult. They fought often and fiercely. During those fights, Lin’s husband would threaten to divorce her and to not renew her application for residency, which would result in her immediate deportation to China. This did happen once when Lin’s husband refused to renew her work permit. As a result, Lin overstayed her visa and lost her job at the factory. Being thus unemployed, Lin had to dip into her savings and risked going into debt. Her dire financial situation caused her anxiety. Losing the regular income provided by her factory job meant not only having nothing to live on but also being unable to send money back home to China. Given that her marriage failed to provide her the work permit she needed, Lin wanted to leave her husband Mei-Hua Chen and Hong-zen Wang 259 and “go out” for her own good. When asked what she thinks of the stigma attached to commercial sex, Lin replied, “I need to be able to feed myself first. But if you don’t have a work permit and a job, it [sex work] is the only way out. So, I thought I would do it.” She continued: “Once I had the money, I would be able to run a small business such as a noodle stall or selling steam dumplings.” Lin Ping’s stories serve to sketch out the interconnectedness between cross-border sex work and cross-border marriage. As her experiences show, cross-border sex work and marriage tend to overlap in certain spheres; however, they are more often than not conceptualized as two separate institutions. Both are grouped under already dichotomized migratory categories such as marriage migrants and economic migrants, real marriage and fake marriage, legal workers and workers without permits, and legal and illegal migrants, etc. Such dichotomization downplays the fact that many marriage migrants, like economic migrants, invest great economic interests in cross-border marriages; it also downplays the fact that migrant sex workers might also be involved in having intimate relationships with someone. Apart from the entanglement of monetary exchange and intimacy, cross-border marriage and cross-border sex work are also parts of a global intimate economy in which the Global North appropriates southern women’s reproductive and intimate labor. Seen in this light, it becomes urgent to theorize how women from the South manage to survive in the global intimate economy by shifting between cross-border marriage and cross-border sex work in the North. Admittedly, such a Global North-and-South framework fits awkwardly when it comes to understanding Taiwan’s situation because economic development is the sole barometer used to define the North and the South, and economically, Taiwan should be in the North camp. Politically, however, due to the majority of nations not recognizing its sovereignty, Taiwan is much more peripheral than most southern countries, let alone China. Therefore, compared to countries in Southeast Asia, Taiwan is economically North but politically South. This semi-peripheral position in the North-South framework, in our view, makes Taiwan a unique case to theorize the global intimate economy. As a tactic... (shrink)

This study adopted a positive psychology perspective to investigate positive emotion and foreign language enjoyment among Chinese as a second language learners in an emergency remote teaching context amid the COVID-19 pandemic. A set of 90 preparatory Chinese language students was assessed for their level of foreign language enjoyment using the Foreign Language Enjoyment Scale. Participles' scores on self-perceived language achievement and actual test scores were adopted as the measurement of their Chinese language proficiency. The results revealed that: CSL learners (...) experienced high level of FL enjoyment in an online learning context, no significant correlation was found between FLE and leaners' actual language achievement nor between FLE and their self-perceived achievement, female learners showed higher FLE than male learners and gender was found to have a significant effect on FLE-Private, participants' geological location, i.e., whether in China or at home countries, significantly influenced their FLE, participants' regional group was not a significant predictor of FLE, and teacher-related variables and learner self-perceptions of achievement were strong predictors of FLE among CSL learners. The findings highlight the importance of teacher's role in an online learning environment and suggest that FLE may not boost performance in the short term for language beginners but is still conducive in the long run. Implications for both teachers and learners, and suggestions for future researches are provided. (shrink)

How to automatically detect intracranial aneurysms from Three-Dimension Time of Flight Magnetic Resonance Angiography images is a typical 3D image classification problem. Currently, the commonly used method is the Maximum Intensity Projection- based way. It transfers 3D classification into 2D case by projecting the 3D patch into 2D planes along different directions on the basis of voxel’s intensity. After then, the 2D Convolutional Neural Network is established to do classification. It has been shown that the MIP-based method can reduce the (...) demands for the samples and increase the computation efficiency. Meanwhile, the accuracy is comparable with that of 3D image classification. Inspired by the strategy of MIP, we want to further reduce the demands for samples and accelerate the training by transferring the 2D image classification into 1D case, i.e., we want to generate the 1D vectors from the MIP images and then establish a 1D CNN to do intracranial aneurysm detection and classification for 3D TOF MRA image. Specifically, our method first extracts a series of patches as the Region of Interests along the blood vessels from the original 3D TOF MRA 3D image. The corresponding MIP images of each ROI will be obtained through maximum intensity projecting. Then, we generate a series of 1D vectors by accumulating each MIP image along different directions. Meanwhile, a 1D CNN is established to detect aneurysms, in which, the input is the obtained 1D vectors and the output is the binary classification result denoting whether there are intracranial aneurysms in the considered patch. Generally, compared with 2D- and 3D-CNN, the 1D CNN-based way greatly accelerates the training and shows stronger robustness in the case of fewer samples. The efficiency of the proposed method outperforms the 2D CNN about 10 times in CPU training. Yet, their accuracies are close. (shrink)

Along with urban development globally, the NIMBY crisis has been a complex social problem, which requires urgent remedial action. The inevitable management of Municipal Solid Waste has been one of the toughest risk management tasks in the worldwide modernization process. At present, certain fuzzy and unstructured results and methods have been formed for MSW-NIMBY crisis response, mainly focusing on the sociology and politics which scatter in complex and sensitive reports and news. Aiming at enhancing the effectiveness of data mining from (...) specific sparse text of MSW-NIMBY crisis, an improved knowledge extraction method is developed. Through rule-based text mining and complex network analysis, the Entity Relationship network of MSW-NIMBY crisis is reconstructed. Meanwhile, a novel transitivity for relationship between entities in semantic analysis is proposed to improve the feasibility and accuracy of information extraction. Characteristics and regularity of MSW-NIMBY crisis evolution and experience of crisis governance could be identified effectively. Results show that knowledge integration and ER transitivity can enhance knowledge recognition and major other factors, which could help formulate the governance strategies of NIMBY crisis from academic texts. (shrink)

Ongoing electroencephalography signals are recorded as a mixture of stimulus-elicited EEG, spontaneous EEG and noises, which poses a huge challenge to current data analyzing techniques, especially when different groups of participants are expected to have common or highly correlated brain activities and some individual dynamics. In this study, we proposed a data-driven shared and unshared feature extraction framework based on nonnegative and coupled tensor factorization, which aims to conduct group-level analysis for the EEG signals from major depression disorder patients and (...) healthy controls when freely listening to music. Constrained tensor factorization not only preserves the multilinear structure of the data, but also considers the common and individual components between the data. The proposed framework, combined with music information retrieval, correlation analysis, and hierarchical clustering, facilitated the simultaneous extraction of shared and unshared spatio-temporal-spectral feature patterns between/in MDD and HC groups. Finally, we obtained two shared feature patterns between MDD and HC groups, and obtained totally three individual feature patterns from HC and MDD groups. The results showed that the MDD and HC groups triggered similar brain dynamics when listening to music, but at the same time, MDD patients also brought some changes in brain oscillatory network characteristics along with music perception. These changes may provide some basis for the clinical diagnosis and the treatment of MDD patients. (shrink)

We conduct a standardized survey on risk preferences in 53 countries worldwide and estimate cumulative prospect theory parameters from the data. The parameter estimates show that significant differences on the cross-country level are to some extent robust and related to economic and cultural differences. In particular, a closer look on probability weighting underlines gender differences, economic effects, and cultural impact on probability weighting. The data set is a useful starting point for future research that investigates the impact of risk preferences (...) on the market level. (shrink)

University students having high entrepreneurial intention while not transferring into actual entrepreneurial behavior is a contradictory issue in need of in-depth research. To explore the successive development mechanism of the entrepreneurial process, this study constructed a moderated mediation model to examine whether entrepreneurial commitment from three dimensions mediated the relationship between entrepreneurial intention and behavior, and whether this mediating process was moderated by family support. A survey was conducted among university students from six major universities in south China using the (...) snowball sampling approach. A total of 469 valid responses were obtained. Structural equation modeling was adopted for data analysis. According to the results of the confirmatory factor analysis, it was found that entrepreneurial intention had both direct and indirect positive effects on entrepreneurial behavior, while entrepreneurial commitment worked as the mediator, and family support moderated the relationship between entrepreneurial intention and behavior. Results indicated that entrepreneurial commitment bridged the path from entrepreneurial intention to behavior, and family support created the boundary effect. This finding highlights the importance of guiding students through entrepreneurial commitment toward entrepreneurial behavior, and pays special attention to the crucial role of family support under the national strategy. (shrink)

This study was designed to estimate the associations between self-efficacy and professional identity. A total of 1,051 freshmen nursing students from the Be Resilient to Nursing Career program were recruited from four universities between September and November 2020. A latent profile and moderated meditation analysis were performed. Four profiles of self-efficacy were identified and named as Lowest, Med-low, Med-high, and Highest. The mediating role of resilience and the moderating effect of role models were also identified. Therefore, self-efficacy, resilience, and role (...) models may be three important factors to professional identity in FNSs and these relationships should be further validated in longitudinal or interventional studies. (shrink)

本书内容包括:和合学价值的诠释、用儒学精神推动东亚的合作与发展、中国当代新文化建设的精神指向与“儒学革命”等。.