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Experimental investigation of Fe3O4 nano-oil and outdoor temperature effects on a 5-ton R22 vapor compression chiller performance
Association between stress and dysmenorrhea among Chinese female adolescent students: a cross-sectional epidemiology study
Distinct cytokine profiles associated with malnutrition, dyslipidemia and kidney dysfunction in patients with diabetic foot ulcer
Clinical profiling of skin microbiome and metabolome during re-epithelialization
Abstract We investigated changes in skin microbiome and metabolome linked to wound healing and how these are affected by a formula known to improve re-epithelialization. In a clinical study with 21 subjects, forearm lesions were induced by epidermal laser ablation. The areas were left untreated or treated with the formula. Re-epithelialization was monitored for 18 days. Skin swabs were analyzed for microbiome diversity using 16 S rRNA gene sequence analysis. Selected species analyzed using digital droplet polymerase chain reaction. Metabolomic profiles were analyzed by ultra-high performance liquid chromatography-high-resolution mass spectrometry. Microbiota alpha-diversity (richness and evenness) was markedly reduced by laser ablation and returned to pre-ablation levels on Day 5. Formula application accelerated the re-epithelialization time (RT), which was more efficient for slow healing (RTs of 15–19 days) than quick healing (10–12 day RTs) subjects. The repairing effect was associated with greater microbiota diversity and species-specific growth of commensal bacteria. Levels of several metabolites on untreated skin at the RT and the extent of the impact of the formula were different in slow and quick healers. The formula significantly modified the skin metabolome, whereby metabolites involved in promoting wound healing were increased and metabolites consumed by the commensal bacteria were decreased.
QTL mapping for yield contributing traits in mungbean (Vigna radiata L.) using a RIL population
A cross-sectional study of psychache and coping strategies and therapeutic approaches among Palestinian university students during the Gaza Israeli war
Abstract The prolonged Gaza-Israeli war has profoundly impacted the psychological well-being of Palestinian university students, manifesting in elevated levels of psychache—an intense psychological pain marked by despair, humiliation, and helplessness. Despite its established link to suicidal ideation, the relationship between psychache and coping strategies during wartime remains underexplored. This study aims to assess the prevalence and severity of psychache among Palestinian university students in the West Bank during the Gaza-Israeli war, and to identify the coping strategies employed. A cross-sectional study was conducted with 556 participants from various universities in the West Bank using convenience sampling method. Data were collected via online questionnaires, including the Psychache Scale, Orbach and Mikulincer Mental Pain Scale, and Coping Strategies Questionnaire. Descriptive statistics, t-tests, and ANOVA were used to analyze the data. The findings revealed that 10.1 to 13.5% of students experienced high psychache levels, while 38.8 to 41.2% displayed moderate levels. Factors such as marital status and study year were significantly related to psychache levels. The most prevalent coping strategy was diversion followed by reinterpreting, with catastrophizing being the least used. Psychache was positively correlated with maladaptive coping strategies, particularly catastrophizing (r = 0.69, p < 0.01). The study underscores the critical need for targeted mental health interventions among university students during war situations. Enhanced coping strategies and mental health support tailored to students’ demographics and psychosocial context are essential for mitigating the impact of war on psychological well-being.
The SRG rat as a novel host for an orthotopic patient-derived xenograft model of breast cancer brain metastasis
Unified interest point detection and description for perspective and Fisheye images
Promoting collective cooperation through temporal interactions
Collective cooperation maintains the function of many natural and social systems, making understanding the evolution of cooperation a central question of modern science. Although human interactions involve complex contact networks, current explorations are limited to static networks, where social ties are permanent and do not change over time. In reality, human activities often involve temporal interactions, where links are impermanent, and understanding the evolution of cooperation on such temporal networks is an open problem. Here, we systematically analyze how cooperation spreads on arbitrary temporal networks, and we distill our results down to a concise condition, which integrates evolutionary game dynamics with both static and temporal interactions. We find that the emergence of cooperation is facilitated by a simple rule of thumb: Hubs (individuals with many social ties) should be temporally deprioritized in interactions. For empirical applications, we further provide a quantitative metric capturing the priority of hubs, which is validated on empirical datasets based on its effectiveness in orchestrating the ordering of interactions to best promote cooperation. Our findings unveil the fundamental advantages conferred by temporal interactions for promoting collective cooperation, transcending the specific insights gleaned from studying static networks.