Haiyan Wang

The integration of generative artificial intelligence (GenAI) into academia presents profound ethical challenges to research integrity. Disciplinary norms likely shape engagement with this technology, yet a comparative analysis between medical and non-medical research cultures is lacking. This study examines how this critical divide influences the adoption of GenAI, the development of ethically sensitive behaviors, and perceptions of oversight in Chinese universities. A cross-sectional online survey was administered to 5,731 active researchers (including postdoctoral fellows and doctoral, graduate, and undergraduate students) from 48 universities, categorized as medical (n = 1,935) or non-medical researchers (n = 3,796). The instrument measured the frequency of GenAI adoption, integrity awareness, self-reported behaviors (including data fabrication/falsification), and ethical attitudes. Analyses used the chi-square test and independent-samples t-tests. Non-medical researchers reported higher GenAI adoption (57.0% vs. 45.6%, p

The globalization of Traditional Chinese Medicine (TCM) hinges on translation practices that honor its philosophical and relational epistemologies, yet dominant approaches, including those mediated by artificial intelligence (AI), often reduce its holistic frameworks to biomedical equivalents. Terms like qi (氣) or shen (神) are not merely lexical challenges; they are ontological anchors in a system where the heart (xin, 心) governs emotion and moral clarity, and “wind” (feng, 風) signifies cosmic disruption. When rendered reductively, whether by human translators or machine algorithms, these concepts risk becoming clinical caricatures, undermining TCM’s integrity and therapeutic efficacy. This paper interrogates the epistemic tensions inherent in translating TCM, arguing that AI-driven tools like large language models (LLMs), despite their efficiency, flatten the hermeneutic and cosmological layers that define TCM as a living practice. Where AI sees “syndrome differentiation” (bianzheng, 辯證), TCM perceives a ritualized act of reading harmony and disharmony in pulses, seasons, and bodily metaphors. Such ontological erasures compound historical asymmetries, positioning Western biomedicine as the default lens for interpreting global healing traditions. Rather than rejecting AI outright, this paper proposes a collaborative model where machine translation is guided by TCM practitioners’ embodied knowledge and classical textual hermeneutics. By centering human expertise, from pulse diagnosis to the ethical dimensions of shen, translations can resist reductionism and preserve TCM’s dynamic worldview. This approach transcends technocratic hegemony to foster intercultural dialogue. Ultimately, the act of translating TCM becomes a site of epistemological justice, demanding technologies that mediate, rather than master, culturally rooted ways of knowing.

BackgroundDepression and alcohol dependence are among the most prevalent psychiatric disorders that commonly co-occur. Therefore, gaining a better grasp of factors related to this comorbidity is particularly interesting for clinicians. Past research has highlighted the significant role that time perspective and family history of alcohol dependence play in the occurrence of depression and AD. However, much remains unexplored in the understanding of the association between them. This study explored how temporal profile and other sociodemographic characteristics of patients diagnosed with AD impact the severity of depression and AD in them.MethodsThis study was multi-centered, including 381 patients. Cross-sectional information was collected from both inpatient and outpatient psychiatric clinics in China. Data were acquired using validated self-report scales, including Michigan Alcoholism Screening Test, Zung Self-Rating Depression Scale, and Zimbardo Time Perspective Inventory-Chinese version. Multiple linear regression analyzes were conducted to control social demographic variables and construct prediction models to inspect the influence factors of variables. Moderation models were constructed to inspect further interplay between variables using hierarchical regression and PROCESS Macro.ResultsResults showed that of all the patients in Chinese psychiatry clinics diagnosed with AD according to the International Classification of Diseases-10, 59.9% met the criteria of depression according to the questionnaire, and time perspective was correlated with the severity of depression. Furthermore, using regression analysis, we found that time perspective and depression could predict AD severity. The moderating role of a past negative time perspective and FH was confirmed between depression and AD. We found that, in our study, only in patients with FH and relatively moderate to high scores of past negative time perspective could the severity of depression predict the severity of AD. Therefore, during the treatment and care of patients with AD, their depression level, time perspective score, and FH should be considered.

The KNN algorithm is one of the most famous algorithms in machine learning and data mining. It does not preprocess the data before classification, which leads to longer time and more errors. To solve the problems, this paper first proposes a PK-means++ algorithm, which can better ensure the stability of a random experiment. Then, based on it and spherical region division, an improved KNNPK+ is proposed. The algorithm can select the center of the spherical region appropriately and then construct an initial classifier for the training set to improve the accuracy and time of classification.

This article primarily explains how China Daily — an exemplary representative of China’s press — modified the disaster discourse, to provide coverage of the Wenchuan earthquake in 2008, through the exclusion of rational thought and in doing so created a people-centred myth. The secondary aim is to understand why the need for legitimacy was the reason behind the Government’s decision to allow media coverage of the disaster. Critical linguistics and critical discourse analysis underpin the study. The article concludes that the Government’s aim in ‘opening up’ access to the media to provide coverage was to provide a public relations exercise, nationally and globally, of the Communist Party of China’s governance capabilities.