Search Results (10,305)

With the increasing access capacity of new energy, the impact of extreme weather on source–load is intensifying, threatening the balance of supply and demand in the power system. Aiming at the systemic risks caused by the uncertainty and volatility of the spatiotemporal distribution of source–load under extreme weather conditions, this paper proposes a new method for power system operation risk assessment considering the spatiotemporal distribution of source–load under extreme weather. Firstly, the influence of various meteorological factors on the output and load of new energy under extreme weather is studied, and the meteorological sensitivity model of source–load is established. Secondly, aiming at the problem of limited historical data of extreme weather scenarios, this paper proposes a method for generating annual operation scenarios of power systems considering extreme weather: using Gaussian process regression to reconstruct extreme weather scenarios, and fusing them into typical meteorological year series through quantile incremental mapping method, forming meteorological scenarios with both typical characteristics and extreme events, and combining the source-load model to obtain the system operation scenario. Thirdly, a new power system risk assessment model considering the impact of extreme weather is established, and the risk indicators such as load shedding, line overlimit, and wind and solar curtailment on a long-term scale are evaluated by using the daily operation simulation in the annual operation scenario of the system. Finally, the IEEE 24-node System is used to analyze the numerical examples, which show that the proposed method provides a quantitative risk assessment framework for the power system to cope with extreme weather, which is helpful to improve the resilience and reliability of the system. Full article

With the growing demand for wind turbines in deep offshore regions, frequent typhoon disasters at sea have impeded the continued development of the wind power industry. To address the problem of typhoons destroying offshore wind power facilities, this paper investigates the aeroelastic characteristics of long flexible blades on ultra-large offshore wind turbines under typhoon loads. The WRF numerical model is employed for high-precision simulations of Typhoon Mangkhut (No. 1822). By optimizing parameterization schemes and incorporating 3DVAR data assimilation techniques, typhoon wind speed profiles in the target sea area are obtained. Based on IEA 15 MW offshore wind turbine data, 3D unsteady CFD models and full-scale finite element models of the blades are established to acquire the aerodynamic loads and structural responses of the blades in typhoon environments. The results indicate that, under extreme typhoon loads and considering wind shear and tower shadow effects, the forces near the blade root are greater; the maximum out-of-plane aerodynamic force occurs at the 14% span position of the blade at 90° azimuth, and the maximum torsional aerodynamic moment is experienced at the 26.5% span position of the blade at 270° azimuth. When the blade pitch angle and rotor yaw angle do not reach ideal states, the deflection of ultra-long flexible blades can increase by up to 3.26 times. These findings overcome the limitations of traditional uniform wind field studies and provide a theoretical basis for subsequent coping strategies for offshore blades under typhoon conditions. Full article

To elucidate the adaptive strategies of leaf functional traits of Larix principis-rupprechtii in the context of climate change, this study chose 2 and 3 year-old seedlings of Larix principis-rupprechtii as the focal research objects. The experiment entailed transplanting seedlings obtained from different sources into high and low altitudes: 1600 m, 1900 m, 2100 m, and 2400 m, respectively. With changes in transplant elevation, seedlings showed variable responses in photosynthesis, water-use efficiency, and leaf morphology, depending on the altitude. High-altitude seedlings transplanted to low altitudes increased SLA and branch extension, enhancing photosynthesis and C-N metabolism. Conversely, low-altitude seedlings transplanted to high altitudes improved cold resistance primarily via leaf thickening, adjusting the chlorophyll a/b ratio, and enhancing the redistribution of soluble proteins. For high-altitude sources, water-use efficiency and transpiration rate were strongly linked to leaf nitrogen and the carbon-to-nitrogen ratio, respectively, indicating the optimisation of photosynthetic and water-use efficiency through modulation of chlorophyll-a content and branch extension. Low-altitude seedlings chiefly adjusted the chla/b ratio, leaf morphological traits, and soluble protein to cope with altitudinal change. In summary, variation in leaf functional traits among seedlings of Larix principis-rupprechtii across elevational gradients did not reflect isolated changes in individual traits but rather arose from integrated adjustments of photosynthetic capacity, resource allocation, and metabolic coupling, thereby optimising the balance between light capture, water usage, and stress tolerance. These results, therefore, offer insights into adaptive strategies under climate change. Full article

Israeli higher education institutes are challenged by the growing number of ultra-orthodox students. This requires coping with novel aspects unfamiliar to participants, as students and as teachers in the education system, utilizing online learning as a lever for empowering this marginalized population. The aim of the proposed research was to explore perceptions of ultra-orthodox students studying in B.Ed. programs within a secular college of education towards online courses. Data included transcriptions from 68 narratives of interviews, which were analyzed using a mixed-methods approach, which helped us achieve an in-depth understanding of the difficulties and challenges of these higher education students. Altogether, five themes were identified, namely: technical challenges, ethical/religious challenges, academic challenges, engagement challenges, and aspects of availability. Statements referring to academic challenges and engagement challenges were the most frequent. The number of positive and negative statements was balanced. Also, distinct patterns of responses were identified for married vs. single ultra-orthodox women. Findings demonstrate the complexity of utilizing online learning among ultra-orthodox B.Ed. students, in a twofold manner: personally and community-wise. The study may shed light on online learning in additional marginal communities worldwide that are traditional in nature, and that may benefit from online courses. Full article

Female participation in NCAA athletics has grown significantly since the passage of Title IX—the 1972 U.S. federal law that prohibits sex-based discrimination in educational programs and activities receiving federal funding—yet much of the existing research continues to focus on male athletes, leaving important gaps in our understanding of women’s experiences in collegiate sports. One underexamined area with important public health implications is the role of coach–athlete relationships in shaping female athletes’ mental health, access to resources, and overall collegiate experience. This exploratory study draws on in-depth interviews with 19 former female NCAA athletes to examine how their relationships with coaches influenced their athletic careers, mental health, and perceptions of support. Participants represented a range of sports and competitive levels, allowing for variation in experiences across contexts. Findings reveal that coach–athlete relationships are not only central to performance and motivation but also serve as key sources of emotional, social, and material support—or, in some cases, stress and disengagement. The quality and impact of these relationships were shaped by competitive pressures, team dynamics, and institutional expectations. This study underscores the importance of relational context in understanding the broader landscape of female NCAA athletes’ experiences and suggests that coach–athlete dynamics merit greater attention in both research and athletic program development. These findings underscore the relevance of coach–athlete dynamics as a public health concern, particularly in relation to mental health and emotional well-being in competitive sports environments. Supporting healthier relational cultures in collegiate athletics is essential for promoting positive health outcomes among female student-athletes. Full article

Background: Menopause is associated with metabolic, sensory, and psychosocial changes that may reshape eating behaviours and nutrition-related quality of life. This study explored how women experience nutrition and chemosensory changes during menopause and how these intersect with identity, control, and social practices. Methods: We conducted online focus groups (Microsoft Teams) with women living in Ireland (n = 40; mean age 58.3 years (±4.5 years)) between January and March 2025. Discussions followed a semi-structured guide focused on taste/smell, appetite, food choice, and coping. Sessions were recorded, transcribed, anonymised, and analysed following Braun and Clarke’s thematic analysis. Results: Four themes captured patterned meanings in the dataset: (1) Chemosensory Changes—reports of diminished taste, contrasted with heightened smell and selective intensification (sweetness), prompting compensatory behaviours (more salt/spice/strong coffee) and new aversions (e.g., cucumber, spicy dishes) alongside unexpected likes (e.g., dark chocolate); (2) Behavioural and Emotional Consequences—increased snacking, sugar/salt cravings, and perceived loss of satiety co-occurred with weight gain and altered body shape, undermining food pleasure and self-confidence; (3) Interacting Influences—affecting vasomotor symptoms, sleep disturbance, joint pain, and “brain fog” compounded dietary disruptions and social withdrawal (e.g., embarrassment about appetite, reduced desire to dine out); (4) Strategies for Wellbeing—women described medical approaches (HRT, prescribed medications) alongside food modifications and the importance of diagnosis, information, and peer/professional support. Conclusions: Menopause reshapes sensory perception and eating behaviour in complex, individualised ways that extend beyond biology to identity and social life. Nutrition care should integrate symptom management with person-centred strategies and improved access to evidence-based information, diagnosis, and support networks. Full article

Low, small, and slow (LSS) unmanned aerial vehicles (UAVs) pose great challenges for conventional guidance methods. However, existing deep reinforcement learning (DRL)-based interception guidance law has mostly focused on simplified two-dimensional planes and requires strict initial launch scenarios (constructing collision triangles). Designing more robust guidance laws has therefore become a key research focus. In this paper, we propose a novel recurrent proximal policy optimization (RPPO)-based guidance law framework. Specifically, we first design initial launch conditions in three-dimensional space that are more applicable and realistic, without requiring to form a collision triangle at the initial launch. Then, considering the temporal continuity of the seeker’s observations, we introduce the long short-term memory (LSTM) networks into the proximal policy optimization (PPO) algorithm to extract hidden temporal information from the observation sequences, thus supporting the policy training. Finally, we propose a reward function based on velocity prediction and overload constraints. Simulation experiments show that the proposed RPPO framework achieves an interception rate of 95.3% and a miss distance of 1.2935 m under broader launch conditions. Moreover, the framework demonstrates strong generalization ability, effectively coping with unknown maneuvers of UAVs. Full article

Background/Objectives: Cancer remains a major public health concern in India, with the Northeast Region (NER) reporting the country’s highest incidence rates. In Meghalaya, a predominantly tribal state, cultural beliefs, financial hardship, and limited healthcare access significantly affect cancer diagnosis and treatment outcomes. This study explores the experiences and needs of cancer patients in Meghalaya, India, to inform culturally sensitive, patient-centred, and financially inclusive approaches to cancer care among tribal populations. Methods: A qualitative study was conducted among 19 participants (12 patients and 7 caregivers; in cases where patients were unable to communicate effectively due to physical weakness or treatment-related complications, their primary caregivers, those directly linked to the specific patients, were interviewed instead) receiving treatment at Civil Hospital, Shillong, between August and November 2023. In-depth interviews were conducted in Khasi, translated into English, and analysed thematically following COREQ guidelines. Results: Ten key themes emerged. Patients often attributed early symptoms to supernatural causes and sought traditional healers, delaying diagnosis. Many experienced fragmented care pathways, misinformation, and fear of treatment side effects. The financial burden was severe, with high out-of-pocket costs for travel, diagnostics, and medicines, despite partial relief through the Meghalaya Health Insurance Scheme. Communication about costs between patients and providers was limited, leaving families unprepared for the expenses. Emotional distress, loss of livelihood, and dependence on family support were common, while faith and spirituality served as major coping mechanisms. Conclusions: Cancer care in Meghalaya is shaped by intertwined cultural, economic, and systemic barriers. Strengthening culturally tailored health education, decentralised diagnostic services, structured financial counselling, and cost transparency can improve care delivery. Future research should adopt multi-centre, longitudinal approaches to guide equitable, patient-centred cancer policies in tribal and rural settings. Full article

Background: Resilience plays a fundamental role in the professional functioning of psychiatric nurses, supporting coping with stress, adaptation to demanding work environments, and job satisfaction. Regular assessment of resilience and perceived stress is important for timely psychological and organizational support. This study aimed to examine the relationship between resilience and perceived occupational stress among psychiatric nursing staff. Methods: The present study employed a cross-sectional research design. Standardized psychometric instruments were used, including the Resilience Assessment Scale (SPP-25) and the Perceived Stress Scale (PSS-10). Additionally, a self-developed questionnaire was administered to gather sociodemographic data. The study was conducted in five psychiatric hospitals located in the southern region of Poland. Data collection took place between January and June 2023 and involved a total of 555 nurses (449 women and 106 men) employed in inpatient psychiatric wards. A statistical significance level of p < 0.05 was adopted. Statistical analyses were performed using IBM SPSS Statistics 25. Results: The overall resilience level in the study group was 57.83 points (SD = 24.33). The mean level of perceived stress among psychiatric nurses was 18.43 points (SD = 10.91). Both resilience and perceived stress levels varied significantly depending on selected sociodemographic and occupational characteristics. A statistically significant negative correlation was found between perceived stress and both the overall level of resilience and each of its individual components (p < 0.001). Conclusions: Regular assessment of psychological resilience and stress levels among psychiatric nurses is an essential component of monitoring their well-being. Such evaluations provide insights into the role of individual resources in coping with occupational demands and serve as a foundation for developing targeted support programs. Strengthening resilience not only promotes the mental health of nursing staff but also contributes to higher quality of patient care and greater effectiveness in fulfilling professional responsibilities. Full article

Background/Objectives: Family members who provide care play a central but often underestimated role in the healthcare system and are frequently exposed to considerable physical, emotional, and social stress. To better understand and support their needs, a structured self-assessment tool (SSA-PA) was developed. This development addresses the current lack of practical, validated instruments that enable caregivers to systematically reflect on their own stress levels and resources, which is becoming increasingly important in view of the growing demand for care and the risk of caregiver burnout. This tool aims to promote self-reflection, identify individual stresses and resources, and enable more targeted support for family caregivers. Methods: The development process (September–December 2024) followed a multi-phase design that integrated theoretical foundations from nursing, health, and psychology, in particular Orem’s theory of self-care deficit, Lazarus and Folkman’s stress and coping model, and Engel’s biopsychosocial model. Four core dimensions were defined: (1) health and self-care, (2) burden and stress, (3) support and resources, and (4) satisfaction and quality of life. The final tool comprises 37 items (mostly 5-point Likert scales), supplemented by multiple-choice and open-ended questions. Content validity was ensured through expert review and testing with nine family caregivers. Internal consistency was assessed using Cronbach’s alpha (α = 0.998), indicating very high reliability, although possible item redundancies were identified. The evaluation took place in January 2025 with 33 family caregivers to assess user-friendliness, relevance, and perceived usefulness. Results: The majority of participants rated the tool as user-friendly and clearly structured. Around 80% reported a high level of comprehensibility, and over half stated that the tool provided new insights into their own health and care burden. Qualitative feedback highlighted the value of the tool for self-reflection and motivation to seek external support. Suggestions for improvement included shorter item formulations, improved visual feedback (e.g., progress bars or charts), and expanded question areas on financial burdens and digital support options. Conclusions: The SSA-PA is a theoretically grounded and user-centered tool for assessing and reflecting on the situation of family caregivers. It not only enables systematic self-assessments but also promotes awareness and proactive coping strategies. Future research should focus on conducting factor analyses to further validate the construct, testing the tool in larger samples, and exploring its integration into structured care consultations to improve the quality of home care. Full article

Health inequities affect minoritized and racialized populations worldwide. These populations tend to rely on their spiritual beliefs, practices, and faith communities for coping and support. At the same time, the mental health systems and their practitioners draw on secular models of illness and emotional distress to understand and treat mental disorders. The strategies recommended to reduce disparities in mental health should recognize the fundamental worldview differences, a decolonizing frame of reference that includes spirituality, and a task-sharing approach grounded in cultural humility. Following a review of the evidence, a model is proposed to leverage the value of spirituality in mental health care. Full article

Caregivers of a child with a serious medical condition are often confronted with difficult and stressful medical information. While they commonly seek out health-related information to better care for their child and help with their decision-making, sometimes caregivers engage in healthcare information avoidance. Healthcare information avoidance is the decision to prevent or delay the acquisition of available, but potentially unwanted, health-related information. We begin by defining the construct of healthcare information avoidance and exploring key theoretical frameworks that illuminate its underlying mechanisms including emotion regulation theory, attentional and cognitive models, approach-avoidance coping strategies, and dispositional theories. A lack of validated measures to assess caregiver healthcare information avoidance was noted as contributing to the dearth of empirical work in this area. Common areas of caregiver healthcare information avoidance were identified at various points throughout the pediatric palliative care illness trajectory. The review concludes with directions for future research and practical recommendations for clinical care, highlighting the importance of identifying the occurrence and reasons for caregiver information avoidance as well as optimizing approaches to information provision. Full article

As technological revolutions continue to advance, AI increasingly emerges as a focal driver for enhancing innovation quality. Grounded in coping theory, this study develops a moderated dual-pathway model to examine the mechanisms through which AI-related task complexity influences innovative work behavior. A three-wave field survey was conducted among 353 employees from high-tech enterprises in Beijing and Shanghai. Hypotheses are tested via structural equation modeling. The findings reveal that AI-related task complexity significantly promotes innovative work behavior by fostering problem-focused coping while simultaneously suppressing it by triggering emotion-focused coping. Moreover, AI opportunity perception is found to moderate these relationships, strengthening the positive effect of problem-focused coping and attenuating the negative effect of emotion-focused coping on innovation. This study advances theoretical understanding of employee behavioral responses in AI-integrated work contexts and offers practical insights into how organizations can leverage AI to stimulate innovation among their workforce. Full article

Introduction: Major depressive disorder (MDD) is a mental disorder with a high prevalence rate and a high recurrence rate. Therefore, identifying and intervening in the core symptoms of MDD patients is of great significance. Anhedonia is manifested as an individual losing interest in activities or experiencing a significant decrease in the sense of pleasure, which is one of the two core symptoms of MDD. Episodic Future Thinking (EFT) training refers to the process of stimulating individuals’ hope for positive future scenarios and encouraging them to take purposeful actions, which may have an effect in alleviating anhedonia. However, the perception of anhedonia of MDD patients among Chinese healthcare professionals is still unclear, and there has been no exploration of the views of healthcare professionals regarding the implementation of EFT training for MDD patients led by psychiatric nurses in a clinical setting. Aim: This study aimed to understand the attention paid by Chinese healthcare professionals to the symptom of anhedonia in patients with MDD, as well as their previous coping strategies. This study further explored the views of healthcare professionals regarding the implementation of EFT training for MDD patients led by psychiatric nurses with a psychological therapist certificate in China, as well as suggestions for future implementation. Methods: This qualitative descriptive study adopted a phenomenological approach. Using purposive sampling, 15 healthcare professionals (psychiatrists, psychiatric nurses and psychological counselors) were recruited from the psychiatry department of a public tertiary hospital in Wuhan, Hubei Province, China. Using the NVivo 12 Plus software, the semi-structured interviews and analyses were conducted by applying Colaizzi’s seven-step phenomenological method. Rigor was ensured through checks of credibility, dependability, and confirmability during data collection and analysis. Results: A thematic analysis revealed that, while psychia-trists and psychological counselors viewed anhedonia as a significant treatment target, nurses were more focused on immediate patient safety concerns. Participants recognized the potential of EFT training to alleviate anhedonia but identified several implementation challenges, including patient resistance, cognitive limitations, and the need for tailored interventions. Conclusions: The research results indicated that psychiatric nurses had relatively poor ability to identify anhedonia. Therefore, it is necessary to enhance the awareness of psychiatric nurses regarding the clinical significance of anhedonia, and incorporate knowledge related to anhedonia into routine nursing training. It is suggested that communication and collaboration among psychiatrists, psychiatric nurses and psychological counselors should be strengthened, and an assessment and feedback process for the lack of anhedonia in patients with MDD should be established, so as to assist these patients in achieving faster psychological recovery. Given the sufficient staffing conditions in the field of psychiatry nursing in China, the design concept and curriculum of EFT training for psychiatry nurses with a psychological therapist certificate should be promoted. Encourage psychiatry nurses with a psychological therapist certificate to conduct offline and online group EFT training intervention forms for MDD patients in the hospital wards during their hospitalization periods, as well as after discharge at home. Full article

Hypersonic glide targets (HGTs) pose significant challenges for radar tracking due to complex maneuver strategies and time-varying statistics of measurement noise. Conventional single-model tracking methods are generally insufficient to fully capture maneuver modes, while existing multiple-model methods face trade-offs between model set completeness and computational efficiency. In addition, existing tracking methods struggle to cope with the non-Gaussian noise during hypersonic flight. To overcome these limitations, a Hierarchical Adaptive Moment Matching (HAMM) multiple-model method is proposed in this paper. Firstly, a comprehensive model set is constructed to cover characteristic maneuver modes. Subsequently, a hierarchical multiple-model framework is developed where: (1) a coarse model set is dynamically adapted by multi-frame posterior probability evolution and Rényi divergence criteria; (2) a fine model set is generated based on the moment matching method. Furthermore, the minimum error entropy cubature Kalman filter (MEECKF) is proposed to suppress the non-Gaussian measurement noise with high stability. Monte Carlo simulations demonstrate that the proposed method achieves improved positioning accuracy and faster convergence. Full article