Search Results (15,400)

To improve the drying efficiency and quality of Scutellaria baicalensis (S. baicalensis) for both medicinal and beverage purposes, this study examined the effects of temperature, vacuum degree, and rotation speed during rotary microwave vacuum drying. The study focused on drying kinetics, physicochemical properties, and sensory quality of the Scutellaria slices. Multivariate analyses, including hierarchical cluster and correlation network analyses, were used to explore the relationship between parameters and quality. Results showed that the method significantly reduced drying time and improved moisture migration. It also preserved active components like baicalin, wogonoside, total phenolics, and polysaccharides, with high antioxidant activity maintained. Temperature was the key factor. The best balance was achieved with 50 °C, −75 kPa, and 4.2 rad/s, resulting in high drying efficiency, a sensory acceptability score of 8.8, turbidity of 12.4 NTU, and strong antioxidant capacity. Cluster analysis distinguished microwave-vacuum-dried samples from those dried by traditional methods (natural air-drying and hot-air drying). Correlation network analysis revealed positive links between sensory acceptance, active components, and liquor clarity. This optimized parameter set is recommended for producing high-quality Scutellaria ingredients for consumers. Full article

Plant growth regulators (PGRs) such as aminoethoxyvinylglycine (AVG), 1-methylcyclopropene (1-MCP), and thidiazuron (TDZ) are widely used to improve fruit set and quality in stone fruits. This study evaluated the effects of these PGRs on fruit set, yield performance, and fruit quality parameters of the Japanese plum cultivar ‘Leticia’ under the edaphoclimatic conditions of the highland region of southern Brazil during the 2021/22 and 2022/23 growing seasons. The treatments (AVG, MCP, and TDZ) were applied in full bloom in a randomized complete block design with four replications, and the data from both seasons were analyzed by principal component analysis (PCA). All PGRs significantly affected fruit set, yield performance, and fruit quality parameters. The strongest associations were found with 182 mg L⁻¹ TDZ for fruit set, and with 62.5 mg L⁻¹ and 125 mg L⁻¹ AVG, and 21.43 mg L⁻¹ 1-MCP for yield performance-related trails. Applications of 125 mg L⁻¹ AVG, 21.43 mg L⁻¹ 1-MCP, and 182 mg L⁻¹ TDZ produced fruits with larger diameters and higher fresh weights. The PCA results indicated that TDZ at 182 mg L⁻¹ was closely associated with fruit set and yield performance, suggesting a strong multivariate relationship among these parameters and demonstrating its potential to enhance the productivity of ‘Leticia’ plum under the edaphoclimatic conditions of southern Brazil during the 2021/2022 and 2022/2023 growing seasons. Full article

Although service firms recognize the significance of frontline employees’ emotional labor in enhancing perceived service quality and sustaining competitive advantage, the theoretical mechanisms underlying this relationship remain insufficiently under-stood. Drawing on the Emotions as Social Information Model (EASI), this study pro-posed that frontline employees’ emotional labor influences customer perceived service quality through two distinct pathways: emotional contagion and inferential pro-cessing. Moreover, the relative strength of these two pathways is contingent upon cus-tomer involvement. Using dyadic data collected from frontline employees and cus-tomers in the banking sector, the results indicated the following: frontline employees’ different emotional labor strategies (deep acting and surface acting) exerted significant influence on perceived service quality through different pathways. Specifically, surface acting impacted service quality solely through emotional contagion process (via cus-tomers’ positive affect). Whereas deep acting influenced service quality through both emotional contagion (via customers’ positive affect) and inferential processing (via customer participation). Additionally, customer involvement moderated the relation-ship between deep acting and customer participation (strengthening the positive asso-ciation), as well as the link between surface acting and customers’ positive affect (attenuating the negative association). Full article

A database (110 treatment means from 23 studies) was derived from the peer-reviewed literature to evaluate the effects of various measures of dietary fiber on growth performance of feedlot cattle. The measures of diet fibrousness were the percentage of traditional roughage sources in the diet, the percentage of neutral detergent fiber (NDF) supplied by traditional roughages, and the total dietary concentration of NDF. The growth performance variables evaluated were dry matter intake, average daily gain, gain–feed ratio, and hot carcass weight. Mixed-model regression methods were used to adjust for random slope and intercept effects associated with studies, and study-adjusted data were evaluated to assess the effects of each of the measures of fibrousness on each of the measures of growth performance. The quality of the regression relationships was assessed by determining the significance of slope and intercept estimates, the root mean square error and the associated coefficient of variation, and the coefficient of determination (r²). In contrast to a previous analysis of literature data, 60% of the studies in the present database included fibrous byproducts (primarily wet corn gluten feed and wet or dry distillers grains plus solubles). Among the growth performance variables, measures of fibrousness were most highly correlated with dry matter intake (total consumed per day or percentage of average body weight), and among the measures of fibrousness, total dietary NDF concentration consistently accounted for the largest percentage of variation in growth performance variables. For dry matter intake as a percentage of body weight, total dietary NDF concentration accounted for 63.3% of the variation in dry matter intake, compared with 19.6% and 29.9% for NDF from roughage and percentage of roughage in the diet, respectively. Similarly, total dietary NDF concentration accounted for 58.1% of the variation in total dry matter consumed per day, compared with NDF from roughage (18.3%) and the dietary percentage of roughage (25.9%). For each 1% increase in total dietary NDF, dry matter intake increased by approximately 0.023% of body weight or 0.11 kg/d. Average daily gain and hot carcass weight were not strongly associated with measures of fibrousness (r² values ranged from 0.001 to 0.122), reflecting the ability of feedlot cattle to compensate for lower dietary energy concentrations as NDF increased in the diet, at least within the ranges of NDF evaluated in the current database. As expected, with increased dry matter intake and little change in average daily gain, the gain–feed ratio was negatively associated with measures of fibrousness, with an r² value of 0.296 for the total dietary NDF concentration. Although more research is needed on the role of physically effective NDF in feedlot diets, present data confirm previous observations about the relationship between the total dietary NDF concentration and dry matter intake, extending this relationship to feedlot diets that contain substantial proportions of fibrous byproducts. The total dietary NDF concentration in feedlot diets should be an effective basis for exchanging dietary ingredients to maintain a similar growth performance of feedlot cattle. Full article

Premenstrual dysphoric disorder (PMDD) is a psychological condition that significantly influences female students’ behavior, cognitive ability, and mental health status. It has a critical role in mental health and well-being and in the academic success and professional performance of nursing students. Objectives: This study aimed to assess the relationship between PMDD, perceived stress levels and sleep quality among female nursing students in Saudi Arabia. Methods: This study utilized a cross-sectional, correlational, descriptive design. The sample size was 144 students, and we used a convenience sampling technique. Data were collected using the following tools: Demographics and Gynecological Data Sheet, Premenstrual Symptoms Screening Tool, Pittsburgh Sleep Quality Index, and Perceived Stress Scale. Results: The levels of premenstrual symptoms and sleep disturbances among the participants can be regarded as moderate, whereas the level of perceived stress was found to be at its highest level, with 63.9% of participants experiencing a moderate level and 14.6% reporting severe stress. There was a significant positive correlation between premenstrual symptoms and perceived stress (r = 0.39, p = 0.005). Thus, as premenstrual symptoms increase, so does perceived stress. Additionally, there is a noteworthy correlation between perceived stress and sleep disturbance (r = 0.28, p = 0.04), indicating that higher levels of stress are associated with more sleep disturbances. Conclusions: PMDD symptoms have a detrimental influence on female students’ emotional state; thus, mental health experts play an important role in identifying variables that mitigate the severity of PMDD among female’s students. Full article

Age-related macular degeneration (AMD) is a leading cause of irreversible blindness, yet current tools for forecasting treatment outcomes remain limited by either the opacity of deep learning or the rigidity of rule-based systems. To address this gap, we propose a hybrid neuro-symbolic and large language model (LLM) framework that combines mechanistic disease knowledge with multimodal ophthalmic data for explainable AMD treatment prognosis. In a pilot cohort of ten surgically managed AMD patients (six men, four women; mean age 67.8 ± 6.3 years), we collected 30 structured clinical documents and 100 paired imaging series (optical coherence tomography, fundus fluorescein angiography, scanning laser ophthalmoscopy, and ocular/superficial B-scan ultrasonography). Texts were semantically annotated and mapped to standardized ontologies, while images underwent rigorous DICOM-based quality control, lesion segmentation, and quantitative biomarker extraction. A domain-specific ophthalmic knowledge graph encoded causal disease and treatment relationships, enabling neuro-symbolic reasoning to constrain and guide neural feature learning. An LLM fine-tuned on ophthalmology literature and electronic health records ingested structured biomarkers and longitudinal clinical narratives through multimodal clinical-profile prompts, producing natural-language risk explanations with explicit evidence citations. On an independent test set, the hybrid model achieved AUROC 0.94 ± 0.03, AUPRC 0.92 ± 0.04, and a Brier score of 0.07, significantly outperforming purely neural and classical Cox regression baselines (p ≤ 0.01). Explainability metrics showed that >85% of predictions were supported by high-confidence knowledge-graph rules, and >90% of generated narratives accurately cited key biomarkers. A detailed case study demonstrated real-time, individualized risk stratification—for example, predicting an >70% probability of requiring three or more anti-VEGF injections within 12 months and a ~45% risk of chronic macular edema if therapy lapsed—with predictions matching the observed clinical course. These results highlight the framework’s ability to integrate multimodal evidence, provide transparent causal reasoning, and support personalized treatment planning. While limited by single-center scope and short-term follow-up, this work establishes a scalable, privacy-aware, and regulator-ready template for explainable, next-generation decision support in AMD management, with potential for expansion to larger, device-diverse cohorts and other complex retinal diseases. Full article

To clarify the relationship between muscle development and meat quality in Ziwuling black goats, this study used the longissimus dorsi muscle of 6-month-old and 12-month-old goats as samples. With HE staining, fast–slow myofiber immunofluorescence double staining, and transcriptome sequencing, this study analyzed muscle structure, myofiber type transformation, and molecular regulation. Results showed that 6-month-olds had higher myofiber density and smaller diameter; 12-month-olds showed myofiber hypertrophy (larger diameter); immunofluorescence revealed more fast-twitch myofibers (Type II) at 6 months and increased slow-twitch ones (Type I) at 12 months. Transcriptome sequencing identified 387 differentially expressed genes (DEGs: 156 upregulated, 231 downregulated). GO analysis indicated that DEGs are involved in skeletal muscle growth, cAMP biosynthesis, etc.; KEGG analysis showed enrichment in arginine–proline metabolism and AMPK/MAPK signaling pathways (AMPK regulates fatty acid metabolism genes like ACACB/CPT1A; arginine–proline metabolism relates to muscle maturation). WGCNA clustered genes into nine modules (MEblue correlated with myofiber density/MAPK; MEgreen correlated negatively with diameter but positively with density, involving PPARGC1A/AMPK). In conclusion, protein nutrition at 6 months (promote myofiber proliferation) and regulating energy intake at 12 months (improve meat quality) are recommended, and 12 months is the optimal slaughter age. Full article

Background/Objectives: In the treatment of autism spectrum disorders, families express the need for dedicated clinical spaces to manage emotional overload and to develop effective relational skills. Parent training addresses this need by supporting the parent–child relationship and fostering the child’s development. This study proposes a clinical protocol designed for psychotherapists and behavior analysts, based on the Autism Open Clinical Model (A.-O.C.M.), which integrates the rigor of Applied Behavior Analysis (ABA) with a phenomenological and embodied perspective. The model acknowledges technology—particularly artificial intelligence—as an opportunity to structure adaptive and personalized intervention tools. Methods: A multi-level prompt design system was developed, grounded in the principles of the A.-O.C.M. and integrated with generative AI. The tool employs clinical questions, semantic constraints, and levels of analysis to support the clinician’s reasoning and phenomenologically informed observation of behavior. Results: Recurrent relational patterns emerged in therapist–caregiver dynamics, allowing the identification of structural elements of the intersubjective field that are useful for personalizing interventions. In particular, prompt analysis highlighted how the quality of bodily and emotional attunement influences readiness for change, suggesting that intervention effectiveness increases when the clinician can adapt their style according to emerging phenomenological resonances. Conclusions: The design of clinical prompts rooted in embodied cognition and supported by AI represents a new frontier for psychotherapy that is more attuned to subjectivity. The A.-O.C.M. stands as a theoretical–clinical framework that integrates phenomenology and intelligent systems. Full article

Background: Oxidative stress (OS) is a key biological mechanism influencing surgical recovery, contributing to impaired healing, infectious complications, cardiovascular events, and mortality. This umbrella review aimed to synthesize evidence from systematic reviews and meta-analyses exclusively focused on the relationship between validated oxidative stress biomarkers and postoperative outcomes. Narrative and non-systematic reviews were excluded. Methods: A comprehensive search of PubMed, Scopus, and Web of Science was conducted on 15 March 2024 and updated on 12 December 2024 to identify systematic reviews and meta-analyses including adult surgical patients, validated oxidative stress biomarkers, and clinical outcomes. Methodological quality was evaluated with AMSTAR 2 and ROBIS. The SANRA checklist was used only to verify that narrative or bibliometric reviews did not meet the inclusion criteria. These non-systematic reviews were excluded from the synthesis and cited solely as contextual references. Findings: From 527 records, ten systematic reviews of moderate to high methodological quality were included, encompassing approximately 230 primary studies. The most frequently reported biomarkers were total antioxidant capacity (TAC), glutathione (GSH), superoxide dismutase (SOD), malondialdehyde (MDA), and 8-hydroxy-2′-deoxyguanosine (8-OHdG). Lower TAC, GSH, and SOD levels were consistently associated with poor recovery and multiorgan dysfunction, whereas elevated MDA and 8-OHdG levels correlated with infectious complications, delayed healing, cardiovascular events, persistent pain, and mortality. Antioxidant-based interventions such as vitamin C, N-acetylcysteine, and propofol showed heterogeneous but promising effects, particularly in high-risk surgical populations. The main limitations were the heterogeneity of biomarkers, variability in perioperative protocols, and partial overlap of primary evidence across reviews. Interpretation: The findings were organized into three main clinical domains: (1) infectious complications and impaired healing; (2) cardiovascular and systemic complications; and (3) predictive and prognostic value of OS biomarkers for perioperative risk assessment. This thematic synthesis integrates evidence across different surgical specialties, highlighting consistent mechanistic patterns and key research gaps to inform future investigations and clinical decision-making. Full article

Background/Objectives: The first aim of this manuscript is to examine the psychometric properties of the Spanish version of the Short Warwick–Edinburgh Mental Well-being Scale (SWEMWBS) in a sample of Spanish physicians. The second aim is to analyze how physicians’ levels of compassion for others, professional quality of life, depression, anxiety, and stress are related to well-being. Methods: The study is part of a randomized controlled trial with a mixed design. The inclusion criteria for participation in the study were: (a) physicians registered in Spain; (b) currently working in Spain; and (c) those who voluntarily agreed to participate. A total of 221 medical doctors were enrolled in one of the three experimental conditions. Results: The confirmatory factor analysis showed an adequate fit. Cronbach’s alpha (0.83) and McDonald’s omega (0.89) provided evidence of reliability. Finally, when the mediational model predicting physicians’ well-being was tested, the examination of the modification indices indicated an unmodeled relationship. A second model was tested, resulting in a better-fitting model. Physicians’ levels of compassion for others significantly predicted compassion satisfaction. Professional quality of life also predicted physicians’ emotional states. Finally, well-being was predicted by depression and stress, and a direct effect of compassion was also found. Conclusions: The SWEMWBS shows potential to become a standard measure of well-being in the Spanish language. Regarding the prediction of well-being, it seems clear that interventions based on compassion should have a place in physicians’ education and workplace settings. Full article

In the waxy maize production of Zhejiang Province, China, conventional straw management often causes planting difficulties and nutrient competition. Although no-till with straw retention is known to benefit soil structure, its long-term impacts on local soil health and productivity remain poorly understood. Hence, a six-year field experiment (2016–2021) was conducted with four treatments, i.e., no-till with residue retention (NTRR), no-till with residue removal (NTR0), plow tillage with residue incorporation (PTRR), and plow tillage with residue removal (PTR0), to investigate the long-term effects of tillage and residue management. The results demonstrated that plow tillage (PT) significantly improved soil physical properties, reducing soil compaction and decreasing bulk density compared to no-till (NT) practices. Meanwhile, residue retention (RR) enhanced soil chemical fertility, increasing soil organic matter by 7.8–9.8% and substantially improving available potassium levels. The PTRR treatment achieved the most favorable soil conditions with the lowest compaction and bulk density values among all treatments. PTRR consistently yielded the highest maize production, showing a 1.7–6.9% advantage over PTR0 and a substantial 15.4% yield increase in spring maize compared to residue removal (R0) treatments. Correlation analyses revealed significant relationships between soil quality and productivity, with the Soil Quality Index (SQI) showing strong positive correlations with both yield (r = 0.74, p < 0.01) and economic returns (r = 0.67, p < 0.05). These findings demonstrate that PTRR represents an optimal agricultural management strategy for simultaneously enhancing soil health and ensuring sustainable crop production in fresh maize cultivation. Full article

Background: The interplay between QoL and psychological distress may differ cross-culturally. The purpose of this study was to investigate the relationship between quality of life (QoL) and psychological distress, among an Egyptian Christian background sample. Methods: Participants completed QoL and K-10 questionnaires. Descriptive statistics, correlation analysis, and partial correlation controlling for age were conducted to explore these relationships. Results: The sample had a mean age of 50.64 years (SD ± 9.6) and was slightly male dominated (57.1%). QoL scores ranged from 4.23 to 5.52 on a 7-point scale, with the highest scores in personal relationships and the lowest in community engagement. K-10 scores indicated low to moderate psychological distress, with feeling tired without reason scoring highest. A significant negative correlation was found between QoL and K-10 scores (r = −0.354, p < 0.001), suggesting higher QoL is associated with lower psychological distress. Material comforts and health showed the strongest negative correlations with K-10 scores. The relationship between QoL and psychological distress remained significant after controlling for age (r = −0.347, p < 0.01). Self-awareness and self-expression emerged as key factors positively correlated with overall QoL. Conclusions: Enhancing QoL, particularly in areas of material comfort, health, and personal growth, may effectively reduce psychological distress. Interventions should be culturally tailored to respect linguistic and religious backgrounds. Further research with more diverse samples and longitudinal designs is recommended to deepen understanding of these relationships. Full article

The study aims to explore the causal relationships among climate, hydrological, and water quality variables in the Kiso River Basin, Japan, using a discrete Bayesian Network (BN) model. The BN was developed to represent probabilistic dependencies between climate factors (rainfall, air temperature), hydrological conditions (river flow levels), and water quality indicators (pH, dissolved oxygen [DO], electrical conductivity, ammonia, turbidity, organic pollution, and water temperature). The model used hourly monitoring data collected between 2016 and 2023, and the continuous variables were discretized based on national environmental thresholds to evaluate exceedance probabilities under different hydro-climatic scenarios. Results showed that air temperature strongly influenced water temperature, with a stabilizing effect under constant flow conditions. Rainfall and river flow were key drivers of turbidity; heavy rainfall and high flow increased the probability of exceeding turbidity thresholds by nearly 80%. Elevated ammonia levels during heavy rainfall and low temperatures reflected runoff and limited nitrification processes. Electrical conductivity decreased during high flows due to dilution, while dissolved oxygen was affected by low flows, turbidity, and temperature. As static BNs cannot model temporal dynamics, supplementary cross-correlation analyses were conducted to assess short-term responses among variables, revealing that most water quality parameters respond within ±24 h to changes in hydrological conditions. This study demonstrates that discrete BNs can effectively translate long-term monitoring data into practical, decision-relevant risk assessments to support adaptive water quality management in dynamic river systems. Full article

Leader–member relationships shape public sector performance, yet how leader–member exchange (LMX) operates through capability and motivation pathways remains underexplored. Drawing on social information processing and career construction theories, this study examines how LMX quality influences civil servant performance through career adaptability and perceived social impact. Moderated mediation analyses of survey data from 363 civil servants in Province A, China, reveal that higher-quality LMX enhances career adaptability and perceived social impact, which, in turn, predict higher task performance and organizational citizenship behavior. However, LMX differentiation weakens these positive effects when perceived as high. In practice, public agencies should prioritize high-quality, low-differentiation LMX systems that enhance civil servants’ performance. Full article

Background: Malnutrition among older adults in China demands greater attention due to its significant implications for both health and functional ability. However, the relationship between nutritional status and health-related quality of life (HRQoL), especially in the context of chronic diseases, remains underexplored in the Chinese elderly population. Methods: This large-scale cross-sectional study aimed to evaluate the association between nutritional status and HRQoL, stratified by chronic disease status, among 41,859 community-dwelling adults aged ≥ 65 years from 31 provinces in mainland China. Nutritional status was assessed using the Mini Nutritional Assessment (MNA), while HRQoL was measured using the SF-36 questionnaire; chronic disease status was based on physician diagnosis. Multiple linear regression was employed to examine the association between MNA and HRQoL, with subgroups defined by Latent Class Analysis (LCA) based on comorbidity patterns. Results: Results revealed significant positive associations between MNA scores and SF-36 total and domain scores among participants with chronic diseases (e.g., Total: β = 0.32, 95% CI: 0.04–0.60), but not among those without chronic diseases. LCA identified four comorbidity patterns: cardiovascular-rich, metabolic-rich, musculoskeletal-rich, and relatively healthy. Significant MNA-HRQoL associations were found in the cardiovascular (β = 0.58, p = 0.025), metabolic (β = 0.76, p = 0.022), and musculoskeletal (β = 1.01, p = 0.021) groups, but not in the relatively healthy group. Conclusions: These findings underscore the critical role of nutritional status in HRQoL among Chinese older adults with chronic diseases and highlight the need for tailored nutritional interventions in geriatric chronic disease management. Full article