Search Results (525)

The growing complexity of electric vehicle charging station (EVCS) operations—driven by grid constraints, renewable integration, user variability, and dynamic pricing—has positioned reinforcement learning (RL) as a promising approach for intelligent, scalable, and adaptive control. After outlining the core theoretical foundations, including RL algorithms, agent architectures, and EVCS classifications, this review presents a structured survey of influential research, highlighting how RL has been applied across various charging contexts and control scenarios. This paper categorizes RL methodologies from value-based to actor–critic and hybrid frameworks, and explores their integration with optimization techniques, forecasting models, and multi-agent coordination strategies. By examining key design aspects—including agent structures, training schemes, coordination mechanisms, reward formulation, data usage, and evaluation protocols—this review identifies broader trends across central control dimensions such as scalability, uncertainty management, interpretability, and adaptability. In addition, the review assesses common baselines, performance metrics, and validation settings used in the literature, linking algorithmic developments with real-world deployment needs. By bridging theoretical principles with practical insights, this work provides comprehensive directions for future RL applications in EVCS control, while identifying methodological gaps and opportunities for safer, more efficient, and sustainable operation. Full article

This study investigates the effectiveness of virtual simulations in developing intercultural competence (IC) among pre-service teachers in Israel. In the context of cultural diversity and historical conflict, 283 Arab and Jewish students participated in a course utilizing either a 3D virtual world (VW) or video conferencing via Zoom. The mixed-methods research combined quantitative surveys with qualitative interviews. Quantitative results showed a modest but significant increase in intercultural competence for both groups, with no significant difference between VW and Zoom platforms. Qualitative findings revealed that while VW participants faced more technical challenges, they also reported more opportunities for empathy development and cross-cultural understanding. Both groups valued the exposure to different cultures and expressed a desire for face-to-face encounters. This study highlights the potential of virtual simulations in fostering IC, emphasizing the importance of collaborative problem-solving and intercultural interaction, regardless of the specific digital platform used. These findings contribute to the growing body of research on technology-mediated intercultural education and offer insights for designing effective virtual learning environments in multicultural contexts. Full article

In recent decades there has been a deterioration of wetlands with severe implications for human health, particularly through its effects on food, water, and climate security. Thus, there is an increasing interest in addressing the adverse effects of wetland degradation, particularly in relation to public health. Despite the necessity to comprehend the economic value associated with wetland degradation, there is still a paucity of research on the subject in many areas of the world, such as Latin American countries. The objective of this work is to determine the economic impacts of wetland degradation through its health impacts on local communities to achieve sustainable wetland management. To this end, a contingent valuation method has been applied selecting Lake Cuitzeo (Mexico) as an emblematic case study where there is a process of ecological degradation that has a negative impact on both the well-being and health of the population. Based on contingent valuation surveys of the population, respondents were directly asked to express their willingness to accept (WTA) by considering changes in well-being resulting from the loss of a benefit or their willingness to pay (WTP) for the improvement of goods/services. The findings indicated a willingness to accept economic compensation of 47.86 USD/household/month for health-related damages and a willingness to pay 2.77 USD/household/month for the environmental management measures to improve lake conditions. In addition, a multivariate analysis was carried out to determine the influence of socio-economic and environmental factors on the economic valuation exercise. The results can serve as a guide for policymakers in the implementation of socially accepted measures to solve the environmental and public health problems in degraded water bodies. Full article

Background/Objectives: Pokémon GO has had a substantial global impact, emerging as one of the most prominent smartphone game releases of the 21st century. Beyond its entertainment value, this game has the potential to encourage physical activity alongside recreational engagement. Consequently, it may facilitate the integration of augmented reality into daily routines within the context of advancing mobile device technology. This study aimed to assess the impact of Pokémon GO on users’ physical activity levels, as well as to identify other implicit health outcomes and potential risks. Methods: A cross-sectional study was conducted using the International Physical Activity Questionnaire (IPAQ-long form) and a custom-designed survey (including demographic characteristics) administered to a cohort of 243 Pokémon GO players (112 females and 131 males, mean age 27 ± 7 years). Results: According to IPAQ-long form data, 68% of Pokémon GO users demonstrated high physical activity levels, 29% moderate, and 2.5% insufficient activity. More than 80% of participants reported increased walking distances, and 39% indicated that playing the game had improved their overall mood, while 13% reported enhanced social interactions. However, some findings are concerning, with 27% of respondents admitting to sacrificing sleep, 20% considering themselves addicted, and more than half exceeding the World Health Organization (WHO) screen time guidelines based solely on the time spent playing Pokémon GO. Conclusions: Pokémon GO has a positive impact on users’ physical activity levels, particularly in terms of low-intensity physical activities such as walking. This observational study suggests that the application may be associated with a healthy lifestyle and enhanced interpersonal contact. Prudent and safe usage is advised, as the game has the potential to be addictive and may pose risks when misused. Full article

In light of a Volatile, Uncertain, Complex and Ambiguous (VUCA) world, the need for employee adaptability is a critical capacity to navigate challenges and facilitate employees thriving in organizations. One important capacity, systems intelligence, captures employees’ ability to think, adapt and act effectively in interactions with systems. In a three-wave longitudinal study, we examine the relationship between systems intelligence (SI), job crafting (JC), and job performance (JP) over time. We employ the job demands-resources model to demonstrate that SI increases JP, hypothesizing that job resources, as manifested in JC, act as mediator between personal resources (SI) and JP. Data were collected from employees in Pakistan working across the banking, telecommunications, information technology, and engineering sectors. In the first wave, 303 participants completed the survey using validated self-report measures, followed by 212 in the second wave, and 99 in the third wave, each two months apart. Our findings show that systems intelligence at Time 1 was positively related to job performance at Time 3 but not Time 2. We found no significant association of SI at Time 1 with JC at Time 2 or Time 3. JC at Time 2 did not mediate the effects of SI at Time 1 on JP at Time 3. However, JC (T1 & T2) had a significant positive effect on JP (T2 & T3). Overall, our findings suggest that the pathways from systems intelligence and job crafting to job performance are independent. This dual pathway to performance has important theoretical implications as well as practical implications for organizations. Organizations can improve team and individual productivity by fostering systems intelligence and promoting job crafting behaviours. This research directs the attention of leaders and HR functions to the value of tailored interventions in developing these abilities and achieving long-term success and adaptive performance in the workforce. Full article

Accurate assessment of cropland maps is crucial for ensuring food security, effective agricultural management, and environmental monitoring. With the widespread application of high-resolution (≤10 m) remote sensing imagery and the advancement of machine learning techniques, numerous high-resolution cropland maps have been developed. However, comprehensive evaluations of their accuracy remain limited. We utilized 163,861 validation samples and national land survey statistical data to conduct a multi-scale comparison of the accuracy of seven cropland maps (one 1 m and six 10 m maps) in China. Additionally, five synergistic strategies were employed to generate more accurate fused cropland maps. Validation results showed that the overall accuracy (OA) of the seven maps ranged from 0.79 to 0.91, with ESA-WorldCover (ESA-WC) exhibiting the highest OA, followed by AI Earth China land cover classification dataset (AIEC), ESRI Land Cover (ESRI-LC), and Cropland Use Intensity in China (China-CUI), while Sino-LC1 showed the lowest performance. Spatially, ESA-WC achieved the highest accuracy in nearly 60% of provinces, followed by AIEC and ESRI-LC, each accounting for approximately 20%. AIEC performed best in western provinces, whereas ESRI-LC dominated in the middle and lower reaches of the Yangtze River. Area consistency assessments revealed that, on average, the seven maps overestimated cropland areas by 20% compared to statistical data. Among these, ESA-WC showed the highest proportion of provinces with relative errors within ±20%, but this proportion was only 50%. Moreover, the OA of the fused maps exceeded 0.92, with county-level R² values compared to statistical data reaching 0.98, significantly improving the reliability of cropland products in over 60% of provincial administrative regions. Based on these results, effective synergistic strategies for high-resolution cropland mapping are proposed. Full article

Background: Immunotherapy has revolutionized oncology care, but clinical response to immune checkpoint inhibitors (ICIs) remains unpredictable, and treatment carries substantial risks and costs. The EpiSwitch^® CiRT blood test is a novel 3D genomic assay that stratifies patients by probability of ICI benefit using a binary, blood-based classification: high (HPRR) or low (LPRR) probability of response. Methods: This interim analysis of the ongoing PROWES prospective real-world evidence study evaluates the clinical utility of CiRT in 205 patients with advanced solid tumors. The primary endpoint was treatment decision impact, assessed by pre-/post-test physician surveys. Secondary endpoints included treatment avoidance, time to ICI initiation, concordance with clinical response, early discontinuation rates, and exploratory health economic modeling. Longitudinal use, resistance monitoring, and equity analysis by social determinants of health (SDoH) were also explored. Results: CiRT results influenced clinical decision-making in a majority of cases. LPRR status was associated with higher rates of treatment avoidance and early discontinuation due to immune-related adverse events (IrAEs). In contrast, HPRR patients experienced greater clinical benefit and longer ICI exposure. CiRT classification was not associated with short-term imaging-based response outcomes, supporting its role as an independent predictor. Given that ICI therapy and supportive care can cost more than $850,000 per patient, CiRT offers potential value in avoiding ineffective treatment and associated toxicities. Conclusions: CiRT demonstrates meaningful clinical utility as a non-invasive, predictive tool for guiding immunotherapy decisions across tumor types. It enables more precise treatment selection, improves patient outcomes, and supports value-based cancer care. Full article

Urine-based immunoassay is a non-invasive method with demonstrated utility in detecting anti-SARS-CoV-2 antibodies in unvaccinated patients with COVID-19. To evaluate urine’s potential for serological surveys in a real-world setting, SARS-CoV-2 serology was performed on urine samples from vaccinated individuals, both with and without prior confirmed COVID-19. (1) Methods: An in-house indirect ELISA was used to measure antibodies against recombinant spike (S) and nucleocapsid (N) proteins of SARS-CoV-2 in urine and paired serum from 149 individuals vaccinated with Janssen AD26.COV2.S, an S protein-based COVID-19 vaccine. (2) Results: Anti-S and anti-N levels were higher in the urine and serum of participants with confirmed prior COVID-19 compared to those without prior infection. Urinary anti-S effectively distinguished vaccinated individuals with (AUC = 0.96) and without (AUC = 0.88) prior infection from negative controls (non-vaccinated, non-previously infected individuals) (p < 0.0001). Among vaccinated participants, urinary anti-S and anti-N identified prior infection, with AUC values of 0.73 (p < 0.0001) and 0.60 (p = 0.03), respectively, being recorded. (3) Conclusions: Findings indicate that urinary anti-SARS-CoV-2 antibodies reflect AD26.COV2.S vaccination and previous COVID-19. To further advance the methodology, studies with larger sample sizes and a greater diversity of COVID-19 vaccines are required. Full article

Background: Family caregivers are a vital yet often under-recognized part of the healthcare system. They provide essential emotional, physical, and logistical support to individuals with illness, disability, or frailty, and their contributions improve continuity of care and reduce system strain. However, many healthcare and social service providers are not equipped to meaningfully engage caregivers as partners. In Alberta, stakeholders validated the Caregiver-Centered Care Competency Framework and identified the need for a three-tiered education model—Foundational, Advanced, and Champion—to help providers recognize, include, and support family caregivers across care settings. This paper focuses on the development and early evaluation of the Advanced Caregiver-Centered Care Education modules, designed to enhance the knowledge and skills of providers with more experience working with family caregivers. The modules emphasize how partnering with caregivers benefits not only the person receiving care but also improves provider effectiveness and supports better system outcomes. Methods: The modules were co-designed with a 154-member interdisciplinary team and grounded in the competency framework. Evaluation used the first three levels of the Kirkpatrick–Barr health workforce education model. We analyzed pre- and post-surveys from the first 50 learners in each module using paired t-tests and examined qualitative feedback and SMART goals through inductive content analysis. Results: Learners reported a high level of satisfaction with the education delivery and the knowledge and skill acquisition. Statistically significant improvements were observed in 53 of 54 pre-post items. SMART goals reflected intended practice changes across all six competency domains, indicating learners saw value in engaging caregivers as partners. Conclusions: The Advanced Caregiver-Centered Care education improved providers’ confidence, knowledge, and skills to work in partnership with family caregivers. Future research will explore whether these improvements translate into real-world practice changes and better caregiver experiences in care planning, communication, and navigation. Full article

This study dives into what drives people to use AR filters in the catering industry, focusing on the Hong Kong market. The main idea is to determine how “perceived value” shapes users’ intentions to engage with these filters. To do this, the research combines concepts from two popular models—the extended Technology Acceptance Model (TAM) and the Satisfaction–Loyalty Model (SLM)—to understand what influences perceived value. The survey data were then analyzed with Structural Equation Modeling (SEM) to see how perceived usefulness, enjoyment, satisfaction, and value connect to users’ intentions. The results showed that “perceived value” is a big deal—the main factor driving whether people want to use AR filters. Things like how useful or enjoyable the filters are and how satisfied users feel all play a role in shaping this perceived value. These findings are gold for marketing teams and AR developers, especially in the catering world. Combining TAM and the Satisfaction–Loyalty Model offers a fresh perspective on how AR technology influences consumer behavior. On top of that, it gives practical advice for businesses looking to make the most of AR filters in their marketing and customer experience strategies. Full article

Identifying predictors of pro-environmental behaviors (PEBs) can not only figure out who concerns about the environment most but also inform possible pathways that advance or inhabit such prosocial actions. Most past studies and theories focus on factors that reside within personal characteristics or sociopsychological mechanisms rather than taking a holistic view that integrates these two elements into a framework. This study investigates how socioeconomic status (SES) correlates with PEBs, integrating both structural and psychological mechanisms. Drawing on the Stimulus–Organism–Response (SOR) theoretical framework, this paper examines the paradox whereby individuals with higher SES exhibit more frequent environmental actions yet demonstrate lower willingness to pay (WTP)—a form of economic sacrifice. Using nationally representative data from the 2021 Chinese General Social Survey (CGSS), our structural equation modeling reveals that adulthood SES positively correlates with environmental values and behaviors but negatively correlates with WTP. This challenges the traditional linear assumption that greater willingness necessarily leads to greater action. Additionally, while childhood SES predicts adult SES, it shows no direct effect on environmental engagement. These findings highlight multidimensional pathways by which SES shape environmental actions, necessitating differentiated policy approaches to build a sustainable world. Full article

This study defines evidence-based minimum internal floor areas required to support long-term residential use across different household types. It addresses the following question: what is the smallest viable floor area that supports sustained occupancy without persistent stress, conflict, or turnover? An integrative review method was employed, drawing from behavioural studies in environmental psychology, international regulatory standards, and real-world market data. The analysis focuses on essential domestic functions including sleep, hygiene, food preparation, storage, social interaction, and work. Quantitative findings from tenancy surveys, post-occupancy research, and market performance data indicate that residential units below 30 square metres for single occupants and 45 square metres for couples are consistently associated with reduced satisfaction and shorter tenancies. Regulatory minimums across diverse jurisdictions tend to converge near these same thresholds. The study proposes technical minimums of 30, 45, and 60 square metres for one-, two-, and three-person households, respectively. These values reflect functional lower bounds rather than ideal or aspirational sizes and are intended to inform performance-based housing standards. Full article

Generational differences in news media trust are mainly studied in Western contexts and remain underexplored in non-Western societies. Drawing on the theory of generations, this study investigates the potential generational gaps in the levels and determinants of news media trust in China. Three analyses are conducted using data from the World Values Survey (WVS) in mainland China. Findings indicate a significant decline in news media trust levels from the Early PRC Generation (–1961) through the Cultural Revolution Generation (1962–1977), the Reform and Opening-up Generation (1978–1991), to the Globalization Generation (1992–). Notably, generation moderates the relationship between news media trust and its determinants. From older to younger generations, the influence of political trust on news media trust gradually weakens, while the impact of authoritarian personality increases. This study offers explanations for the dynamic changes in news media trust from the perspective of generational shifts. Full article

Background: The effective use of electronic health records (EHRs) is an essential clinical skill, but medical schools have traditionally provided limited systematic teaching on the topic. Inefficient use of EHRs results in delays in diagnosis, fragmented care, and clinician burnout. This study investigates the impact on medical students’ confidence, efficiency, and proficiency in extracting clinically pertinent information from patient records following an organised EHR teaching programme. Methods: This observational cohort involved 60 final-year medical students from three London medical schools. Participants received a structured three-phase intervention involving an introductory workshop, case-based hands-on practice, and guided reflection on EHR navigation habits. Pre- and post-intervention testing involved mixed-method surveys, simulated case tasks, and faculty-assessed data retrieval exercises to measure changes in students’ confidence, efficiency, and ability to synthesise patient information. Quantitative data were analysed using paired t-tests, while qualitative reflections were theme-analysed to identify shifts in clinical reasoning. Results: All 60 students successfully finished the intervention and assessments. Pre-intervention, only 28% students reported feeling confident in using EHRs effectively, with a confidence rating of 3.0. Post-intervention, 87% reported confidence with a rating of 4.5 (p < 0.01). Efficiency in the recovery of critical patient information improved from 3.2 to 4.6 (p < 0.01). Students also demonstrated enhanced awareness regarding system-related issues, such as information overload and fragmented documentation, and provided recommendations on enhancing data synthesis for clinical decision making. Conclusions: This study emphasises the value of structured EHR instruction in enhancing the confidence and proficiency of medical students in using electronic records. The integration of structured EHR education to medical curricula can better prepare future physicians in managing information overload, improve diagnostic accuracy, and enhance the quality of patient care. Future research should explore the long-term impact of structured EHR training on clinical performance, diagnostic accuracy, and patient outcomes during real-world clinical placements and postgraduate training. Full article

Background/Objectives: Population health problems are among the world’s main concerns. However, mortality and morbidity alone do not fully encompass the health experience of populations. International efforts are underway to verify health experiences using functioning as the third health indicator. The aim of the study was to compare the functioning profile of the Chilean population with mortality and morbidity rates due to neurological, circulatory, respiratory, and musculoskeletal diseases at the regional level. Methods: An ecological study was conducted with the secondary dataset II Estudio Nacional de la Discapacidad (ENDISC) and mortality and hospitalization rates from the Departamento de Estadísticas e Información en Salud. The II-ENDISC was a national household survey, based on the Model Disability Survey, carried out in 2015. Results: The correlation of functioning with morbidity and mortality rates was determined by Spearman’s correlation. The correlation values of the mortality and morbidity coefficients with the performance and disability data were not relevant and significant (p < 0.35; p > 0.05). This suggests a lack of a linear relationship between these indicators at the regional level. Conclusions: The analysis of the Chilean population revealed that performance values, as an expression of functioning, do not correlate with morbidity or mortality rates. This discrepancy underscores the limitations of relying solely on traditional health indicators to capture the complexity of population health. Our findings support the conceptual value of functioning as a complementary and distinct health indicator, rather than a proxy for morbidity or mortality. Full article