BackgroundInstitutions, funding agencies and publishers are placing increasing emphasis on good research data management (RDM). RDM lapses in medical science can result in questionable data and cause the public’s confidence in the scientific community to crumble. A fledgling medical school in a young university in Singapore has mandated every funded research project to have a data management plan (DMP). However, researchers’ adherence to their DMPs was unknown until the school embarked on routine data auditing. We hypothesize that research data auditing (...) improves RDM awareness, compliance and reception in the school.MethodsWe conducted surveys with research PIs and researchers before and after data auditing to evaluate differences in self-reported RDM awareness, compliance and reception. As it is mandatory to deposit research data in a central data repository system in the school, we tracked data deposition by each laboratory from 2 weeks before to 3 months after data auditing as a marker of actual RDM compliance.ResultsResearch data auditing had an overall positive effect on self-reported RDM awareness, compliance and reception for both research PIs and researchers. Research PIs agreed more that RDM was important to scientific reproducibility, were more aware of proper RDM, had higher RDM strength in their laboratories and were more compliant with the DMP. Both research PIs and researchers believed data auditing helped them to be more compliant with data deposition in the repository. However, data auditing had no significant impact on laboratories’ data deposition rates over time, which could be due to the short sampling period.ConclusionsResearch PIs and researchers generally felt that data auditing was effective in improving RDM practices. It helped to evaluate their RDM practices objectively, propose corrective actions for RDM lapses and spread awareness of the university’s data management policies. Our findings corroborated other studies in medical research, geosciences, engineering and ethics that data auditing promotes good RDM practices. Hence, we recommend research institutions worldwide to adopt data auditing as a tool to reinforce research integrity. (shrink)

Working memory is developed in one region of the brain called the dorsolateral prefrontal cortex. The dysfunction of this region leads to synaptic neuroplasticity impairment. It has been reported that several biochemical parameters and anthropometric measurements play a vital role in cognition and brain health. This study aimed to investigate the relationships between cognitive function, serum biochemical profile, and anthropometric measurements using DLPFC activation. A cross-sectional study was conducted among 35 older adults who experienced mild cognitive impairment. For this purpose, (...) we distributed a comprehensive interview-based questionnaire for collecting sociodemographic information from the participants and conducting cognitive tests. Anthropometric values were measured, and fasting blood specimens were collected. We investigated their brain activation using the task-based functional MRI, specifically in the DLPFC region. Positive relationships were observed between brain-derived neurotrophic factor and Mini-Mental State Examination ; however, negative relationships were observed between serum triglyceride and serum malondialdehyde with right DLPFC activation while the participants performed 1-back task after adjustments for age, gender, and years of education. In conclusion, higher serum triglycerides, higher oxidative stress, and lower neurotrophic factor were associated with lower right DLPFC activation among older adults with MCI. A further investigation needs to be carried out to understand the causal-effect mechanisms of the significant parameters and the DLPFC activation so that better intervention strategies can be developed for reducing the risk of irreversible neurodegenerative diseases among older adults with MCI. (shrink)

Background Caring behaviour is critical for nursing quality, and the clinical internship environment is a crucial setting for preparing nursing students for caring behaviours. Evidence about how to develop nursing students’ caring behaviour in the clinical environment is still emerging. However, the mechanism between the clinical internship environment and caring behaviour remains unclear, especially the mediating role of moral sensitivity and the moderating effect of self-efficacy. Research objective This study aimed to examine the mediating effect of moral sensitivity and the (...) moderating function of self-efficacy on the association between the clinical internship environment and caring behaviours. Research design A cross-sectional design used acceptable validity scales. The hypothesised moderated mediation model was tested in the SPSS PROCESS macro. Participants and research context This survey collected data from 504 nursing students in an internship at a teaching hospital in Changsha, China. Ethical considerations This study was pre-approved by the ethics committee of the medical school (No. E2022210). Informed consent was obtained from all students. Results The clinical internship environment ( B = 0.450, 95% CI = [0.371, 0.530]) and moral sensitivity ( B = 1.352, 95% CI = [1.090, 1.615]) had positive direct effects on nursing students' caring behaviours. Clinical internship environment also indirectly influenced students’ caring behaviours via moral sensitivity ( B = 0.161, 95% CI = [0.115, 0.206]). In addition, self-efficacy played a moderating role between the clinical internship environment and caring behaviours ( B = 0.019, 95% CI = [0.007, 0.031]), as well as the relationship between the clinical internship environment and moral sensitivity ( B = 0.006, 95% CI = [0.003, 0.010]). Conclusion Moral sensitivity mediates the effect of the clinical internship environment on caring behaviour, and self-efficacy strengthens both direct and indirect effects. This study emphasises the importance of self-efficacy in developing moral sensitivity and caring behaviours in nursing students. (shrink)

The efficient processing of large-scale data has very important practical value. In this study, a data mining platform based on Hadoop distributed file system was designed, and then K-means algorithm was improved with the idea of max-min distance. On Hadoop distributed file system platform, the parallelization was realized by MapReduce. Finally, the data processing effect of the algorithm was analyzed with Iris data set. The results showed that the parallel algorithm divided more correct samples than the traditional algorithm; in the (...) single-machine environment, the parallel algorithm ran longer; in the face of large data sets, the traditional algorithm had insufficient memory, but the parallel algorithm completed the calculation task; the acceleration ratio of the parallel algorithm was raised with the expansion of cluster size and data set size, showing a good parallel effect. The experimental results verifies the reliability of parallel algorithm in big data processing, which makes some contributions to further improve the efficiency of data mining. (shrink)

The number of articles published in open access journals has increased dramatically in recent years. Simultaneously, the quality of publications in these journals has been called into question. Few studies have explored the retraction rate from OAJs. The purpose of the current study was to determine the reasons for retractions of articles from OAJs in biomedical research. The Medline database was searched through PubMed to identify retracted publications in OAJs. The journals were identified by the Directory of Open Access Journals. (...) Data were extracted from each retracted article, including the time from publication to retraction, causes, journal impact factor, and country of origin. Trends in the characteristics related to retraction were determined. Data from 621 retracted studies were included in the analysis. The number and rate of retractions have increased since 2010. The most common reasons for retraction are errors, plagiarism, duplicate publication, fraud/suspected fraud and invalid peer review. The number of retracted articles from OAJs has been steadily increasing. Misconduct was the primary reason for retraction. The majority of retracted articles were from journals with low impact factors and authored by researchers from China, India, Iran, and the USA. (shrink)

Action video game (AVG) has attracted increasing attention from both the public and from researchers. More and more studies found video game training improved a variety of cognitive functions. However, it remains controversial whether healthy adults can benefit from AVG training, and whether young and older adults benefit similarly from AVG training. In the present study, we aimed to quantitatively assess the AVG training effect on the cognitive ability of adults and to compare the training effects on young and older (...) adults by conducting a meta-analysis on previous findings. We systematically searched video game training studies published between January 1986 and July 2015. Twenty studies were included in the present meta-analysis, for a total of 313 participants included in the training group and 323 participants in the control group. The results demonstrate that healthy adults achieve moderate benefit from AVG training in overall cognitive ability and moderate to small benefit in specific cognitive domains. In contrast, young adults gain more benefits from AVG training than older adults in both overall cognition and specific cognitive domains. Age, education, and some methodological factors, such as the session duration, session number, total training duration, and control group type, modulated the training effects. These meta-analytic findings provide evidence that AVG training may serve as an efficient way to improve the cognitive performance of healthy adults. We also discussed several directions for future AVG training studies. (shrink)

Precision medicine is an emerging approach to treatment and disease prevention that relies on linkages between very large datasets of health information that is shared amongst researchers and health professionals. While studies suggest broad support for sharing precision medicine data with researchers at publicly funded institutions, there is reluctance to share health information with private industry for research and development. As the private sector is likely to play an important role in generating public benefits from precision medicine initiatives, it is (...) important to understand what the concerns are and how they might be mitigated. This study reports outcomes of a deliberative method of citizen engagement in Singapore that asked whether sharing precision medicine data with private industry would be permissible, and if so, under what circumstances. Findings from this citizens’ jury suggest sharing with industry would be permissible under certain conditions that are set out in nine recommendations. Implications of the recommendations and their underlying assumptions for policy decision makers are discussed. This study aligns with prior international studies which found conditional acceptance for data sharing with private industry, a public benefit requirement, specific reluctance to share with insurance companies and an emphasis on accountability and transparency to demonstrate trustworthiness. However, our results differ from prior studies in that opt-in consent did not dominate the deliberations as jurors were able to set it aside as an assumed prerequisite for participation in a precision medicine programme. (shrink)

Is gender-emotion stereotype a “one-hundred percent” top-down processing phenomenon, or are there additional contributions to cognitive processing from background clues when they are related to stereotypes? In the present study, we measured the gender-emotion stereotypes of 57 undergraduates with a face recall task and found that, regardless of whether the emotional expressions of distractors were congruent or incongruent with targets, people tended to misperceive the fearful faces of men as angry and the angry faces of women as fearful. In particular, (...) there was a significantly larger effect in the distractor-incongruent condition. The revised process-dissociation procedure analysis confirmed that both automatic and controlled processing have their own independent effects on gender-emotion stereotypes. This finding supports a dual-processing perspective on stereotypes and contributes to future research in both theory and methodology. (shrink)

本书侧重分析中华民族哲学智慧的个性及其对人类哲学文明发展的特殊贡献。中华文明从未间断并发展下来的哲学原因是中华民族不断开发不断完善的直观智慧,中华民族的哲学精神为人类简单明了地指出了走出民族冲突与宗教 冲突困惑的思路。.

本书主要内容有知识与智慧:教育的性格、知识与智慧:教育的历史、知识与智慧:教育的型态等。.

Shang juan. di 1 bu Li yu wu, di 2 bu Di guo yu guo jia -- Xia juan. di 1 bu Gong li yu fan gong li, di 2 bu Ke xue hua yu gong tong ti.

本书内容包括:社区与精神文明、城市社区精神文明建设的历史考察、社区服务与城市社区精神文明建设、社区文化与城市社区精神文明建设、社区环境与城市社区精神文明建设、社区精神与城市社区精神文明建设等.

本书主要内容包括:超越西方哲学传统;反基础主义纲领;心理学唯名论;行为主义知识论;没有世界的真理观;后哲学文化;无本体论的伦理学等.

中国现代哲学是20世纪中国哲学变革和发展的重要时期,不少哲学家建立了自己独特的思想体系,对智慧问题予以高度重视。本书以中国现代哲学对形上智慧的追问和求索为主题,对中国现代哲学关于形而上学问题的理论发展 作了深入而清晰的梳理,并展示了其中的逻辑脉络。主要内容有科玄之争、知识和智慧、存在与天道、理智和直觉、名言之域与超名言之域、自由和境界等,着力对理气之辩、心物之辩、逻辑思维的辩证法、理性的直觉、可说的 和不可说的、思辩地说和诗意地说、天道和境界、自由和真善美等话题进行理性沉思。全书资料翔实、结构严谨、见解独特,是一部很有价值的学术专著,适合大学文科师生、哲学社会科学爱好者和研究者阅读使用。.

本书从三个角度开展研究,得出理性未来的发展趋向在于再次回归语境:一是对理性发展历史的梳理与反思以及对未来趋向的展望;二是从现代科学的发展趋势以及后现代科学研究实践的角度开展研究;三是从实证案例角度,即 通过分析案例中科学理性,技术理性和价值理性三大理性的关系及其与社会的相互联系,对研究中得出的结论进行验证.

本书阐述了行刑社会化的思想源流、行刑社会化的内涵解读、行刑社会化的立论基础、行刑社会化在中国的实践和困惑等八章内容。.

英文题名:The foundations of modern social sciences.

內容介紹 荀子性惡論是有意與性善論針鋒相對，企圖在批判中回歸孔門正道的論述。但學者多以孔孟一體的思維批判荀學之歧出，儒學史上「作為他者的孟子」往往被忽略。本書即企圖回到孟子尚未成聖成經的脈絡去思考荀孟關係，探問 為何荀子必要攻訐性善而主張性惡？關鍵在於荀子不滿孟子以「道德人」作為存有原初狀態的指涉，將儒學的社會性倫理轉向了超越性道德；是以企圖回歸存有原初的「經濟人」面向。性惡論的誕生，可以說是作為「經濟人」的 存有對「道德人」之反擊；必須理解到：「性惡論」不僅是人性的表述，而是一種認知自我與世界的態度。其中涵攝了「經濟人」的本體、修養、政治、經濟與社會等面向之完整儒學系統。一旦否認「性惡論」的意義，早期儒學 的根基將全然崩解並遭受曲解——忽視了「孔荀」一系在儒學史脈絡中的重要性意義。.