Social support and presence of meaning among students with visual impairments in a Chinese vocational college: the indirect association through hope

Human immunodeficiency virus (HIV) infection remains a growing public health concern in the Philippines, where new infections rose by about 550% between 2010 and 2024 and diagnosis gaps persist in CALABARZON. Nurses are often the first and most sustained point of contact in HIV testing and care, yet knowledge gaps, stigmatizing attitudes, and procedure-focused training may limit their ability to provide compassionate, person-centered counseling. This study aims to develop and validate a Caring-Based HIV Counseling Training Program for Nurses in Laguna, Philippines, using a methodological research design and a modified Delphi technique. Registered nurses from selected government and private healthcare facilities in Laguna will complete a researcher-developed training-needs assessment questionnaire covering six competency domains: HIV-related knowledge; counseling and therapeutic communication; caring behaviors and person-centered practice; ethical and legal responsibilities; cultural sensitivity and stigma reduction; and linkage to prevention, treatment, care, and support. The questionnaire will undergo expert review, pilot testing, and reliability testing using Cronbach’s alpha. The needs-assessment findings, together with a review of current literature and guidelines, will inform a preliminary training program, which a multidisciplinary panel of approximately 15 to 20 experts will evaluate over successive anonymous Delphi rounds for relevance, clarity, comprehensiveness, cultural appropriateness, feasibility, and applicability. Consensus is defined in advance as at least 80% expert agreement, a median rating of at least 3.00, and an interquartile range of no more than 1.00. Content validity will be established through an Item-Level Content Validity Index of at least .78 and a Scale-Level Content Validity Index (average) of at least .90, overall agreement will be measured with Kendall’s coefficient of concordance, and the experts’ qualitative comments will undergo directed content analysis. The study is expected to produce an expert-validated, contextually relevant training program that strengthens nurses’ capacity to deliver compassionate, stigma-free HIV counseling, with its effectiveness to be tested in a future pilot or quasi-experimental study.

Universities preparing graduates for technology-enabled financial services need to understand how digital learning conditions relate to students’ career readiness. This study examines the associations of university-based Digital Financial Learning Ecosystem Quality with perceived FinTech Career Readiness among Vietnamese business students. Drawing on Social Cognitive Theory and Social Cognitive Career Theory, ecosystem quality is modelled as a reflective–formative higher-order construct comprising Digital Academic Support, the Digital Learning Environment, and Digital Teaching Innovation. Cross-sectional survey data from 341 students recruited through nonprobability convenience sampling via networks centred on northern Vietnam were analysed using partial least squares structural equation modelling and a disjoint two-stage procedure.All three ecosystem dimensions made significant formative contributions, with the digital learning environment showing the largest estimated weight. Higher ecosystem quality was positively associated with self-efficacy and learning motivation, and self-efficacy was positively associated with motivation. Motivation and career orientation were positively associated with perceived readiness, with motivation having the larger estimated direct coefficient. Career orientation showed no significant additional association with motivation after accounting for ecosystem quality and self-efficacy. Ecosystem quality was indirectly associated with readiness through motivation and through the sequential pathway involving self-efficacy and motivation. The model explained 41.5% of the variance in perceived readiness.The study contributes an integrated operationalisation of university-based digital financial learning quality and distinguishes learning-related associations from those of career orientation. The findings inform potential priorities for coordinating digital platforms, relevant financial content, academic support, practical learning, and competency-based career guidance. For universities and financial institutions, the study offers evidence to guide collaboration on graduate preparation and a foundation for evaluating how perceived readiness relates to demonstrated workplace competence.

This study examined technological self-efficacy and classroom technology use among early childhood teachers at Cabangahan Elementary School, Siaton, Negros Oriental. Employing a quantitative descriptive-correlational design, the researchers collected self-reported data from five teachers using an expert-reviewed, Google Forms questionnaire. Descriptive frequencies, percentages, and five-point weighted means were used to characterize teachers’ profiles, basic technology skills, confidence in pedagogical integration, troubleshooting ability, frequency of technology use, diversity of digital tools, and perceived effects on children’s learning and engagement. The reported mean scores were 4.56 for basic technology skills, 4.56 for pedagogical integration, and 4.52 for technical troubleshooting, all interpreted as highly confident. Classroom technology use was rated 4.60 for frequency, 4.16 for diversity of tools, and 4.76 for perceived learning engagement. The study reported a very strong positive Pearson correlation between self-efficacy and classroom technology implementation (r = .94); no corresponding significance test was provided. Results suggest that the participating teachers perceived themselves as technologically capable and frequent users of digital resources, although the range of tools used was comparatively limited. The proposed action plan prioritizes device access, technical support, targeted professional learning, and classroom monitoring. Given the five-person, single-school sample and reliance on self-report, the findings should be interpreted as local descriptive evidence, not as proof of causal effects on children’s outcomes.

This study examined the relationship between AI companionship- operationalized as attachment anxiety and avoidance toward AI- and psychological well-being among 50 Gen Z adults (aged 18-29) in India. Using the Experiences in Human-AI Relationships Scale (EHARS) and the WHO-5 Well-Being Index, the study found no significant associations between attachment to AI and well-being. These findings, though limited by sample size and design constraints, contribute to the growing literature on human-AI relationships in non-Western contexts.

Background: Prolonged screen exposure, after-hours connectivity, and sedentary work are linked to poor sleep and occupational burnout among Indian working professionals. Ayurvedic Dinacharya regulates waking, Vyayama, Bhojana Vidhi, and Nidra Vidhi; however, digital-era disruption of these domains among working adults remains unstudied. This study aimed to assess digital lifestyle behaviours mapped to Dinacharya principles as behavioural markers of Pragyaparadha, in relation to sleep quality and occupational burnout among working adults, and to identify behaviours independently associated with poor sleep and higher burnout. Methods: A cross-sectional analytical survey (STROBE-reported) was conducted at the All-India Institute of Ayurveda (AIIA), New Delhi, during (January 2026 to July 2026), among 400 working adults aged 25-40 years with ≥1 year of occupational experience. A structured proforma captured sociodemographic details and Dinacharya-mapped digital behaviours across five domains (morning routine, bedtime device use, after-hours connectivity, screen breaks/sedentary time, mealtime practices). Sleep quality and burnout were assessed using the PSQI and Copenhagen burnout inventory. Results: Of 400 participants, 56.8% had poor sleep quality, 61% personal burnout, and 55.8% work-related burnout. Bedtime device use and inadequate screen breaks/sedentary behaviour independently predicted poor sleep (aOR 1.76 and 1.98). After-hours connectivity, sedentary behaviour, and mealtime digital engagement predicted personal burnout; bedtime device use, sedentary behaviour, mealtime digital engagement, and digital overload predicted work-related burnout (all p<0.05). Conclusions: Digital lifestyle behaviours reflect patterns of Pragyaparadha in daily digital conduct. Interpreted through Dinacharya and Nidra, the findings support a culturally grounded, preventive Digital Dinacharya framework for digital-era occupational health.