Search Results (2,297)

This comparative cross-sectional study simultaneously investigated the dual health burden of body mass index (BMI) and common mental disorders (CMDs) driven by occupational stressors in two stepwise regression models. By classifying stress exposure into three clinically relevant tiers (low, moderate, and severe) in two distinctive populations—a hospital and a manufacturing company—we used the validated SDS-30 and SRQ-20 instruments. The robust multiple regression models uncovered a highly nuanced landscape of employee well-being that highlights the context-dependent nature of psychosocial hazards. The most compelling findings emerged from the interaction analyses, which demonstrated that the physical and mental consequences of severe stress do not impact the workforce uniformly. Regarding mental health, severe occupational stress proved to be a potent catalyst for CMD symptoms, but this psychological toll was significantly magnified within the hospital sector relative to the manufacturing environment. An opposite, yet equally context-dependent, pattern emerged regarding physical health. In the main-effects-adjusted model, the severity of occupational stressors did not demonstrate a statistically significant linear association with an overall increase in BMI. However, the interaction model revealed a hidden vulnerability: employees in operational field roles who report severe stress are highly susceptible to severe BMI increases compared with admin personnel. While administrative staff may face sedentary risks, field workers under severe stress likely endure higher physiological allostatic load, erratic shift patterns that disrupt circadian metabolic rhythms, and potentially poorer dietary coping mechanisms during active labor. This combination of physical exhaustion and severe psychological tension severely disrupts metabolic homeostasis, forcing the redistribution of adipose tissue and driving the observed BMI spike. Full article

Accurate spatial identification of check dams is a key prerequisite for evaluating soil and water conservation benefits and optimizing dam system planning on the Loess Plateau. Current deep learning models face severe misclassification and omission issues under complex terrain due to the scarcity of check dam samples and the lack of prior geographic knowledge. This study proposes a recognition method based on Faster R-CNN, constrained by suitable areas and microtopography. The Xiliugou watershed in Inner Mongolia was selected as the study area. Based on Google Earth imagery and field survey data, a check dam sample dataset was constructed, integrating the morphological features of “linear dam body with a trapezoidal slope.” Using the construction suitable area constraints defined by the Technical Specifications for Check Dams and microtopography standard deviation (δ) derived from DEM as dual spatial filtering mechanisms, these were deeply embedded into the Faster R-CNN model to limit the search space and enhance geographic plausibility. Experimental results show that the constrained Faster R-CNN model achieved a precision and recall of 92.86% and 96.89%, compared with the accuracy rate of only deep learning model recognition (60.61%), which significantly increased by 32.25%, indicating that geographical constraints have an enhancing effect. Using this method, a total of 191 embankment dams were identified in the Xiliugou Basin. New 30 unrecorded embankment dams (21 small dams and 9 micro-dams) were discovered. The model’s good generalization ability was verified in the Han Tiechuan geographical isolation area, which contained 153 embankment dam samples, with an accuracy rate of 72.94%. Spatial analysis further revealed the “successive interception along tributaries” distribution pattern and strong spatial aggregation characteristics (box dimension D ≈ 0.36) of check dams in the Xiliugou watershed. This study confirms the critical role of suitable area and microtopography constraints in improving the accuracy and reliability of deep learning models and provides a transferable technical paradigm for automated, high-precision surveys of regional soil and water conservation projects. Full article

The transjugular intrahepatic portosystemic shunt (TIPS) is a cornerstone intervention for complications of portal hypertension, including variceal bleeding and refractory ascites. As the population with cirrhosis ages, clinicians increasingly face the question of whether and how to perform TIPS safely in older adults. We reviewed observational cohorts, registry analyses, and systematic reviews/meta-analyses. Existing evidence does not support chronological age as an absolute contraindication; however, multiple studies suggest that advanced age is associated with higher rates of post-TIPS hepatic encephalopathy (HE), early mortality, and readmissions. These findings underscore the need to shift from a binary “eligible vs. ineligible” paradigm to a structured, actionable framework that addresses modifiable risks and anticipates age-related vulnerabilities. Recent clinical practice guidance emphasizes comprehensive pre-TIPS assessment and vigilant post-procedure care, with specific attention to HE risk factors (e.g., prior HE, hyponatremia, renal dysfunction, sarcopenia) and cardiopulmonary reserve. In this narrative review, we propose an elderly-focused clinical pathway built around a four-domain assessment (Liver–Brain–Body–Heart/Kidney) and a traffic-light risk tiering system to guide patient selection, procedural strategy, follow-up scheduling, and triggered management of HE, cardiac decompensation, and renal dysfunction. This pathway aims to preserve the benefits of portal decompression while reducing preventable complications and improving outcomes that are meaningful to older patients, including functional status and quality of life. This narrative review emphasizes that outcomes after TIPS in older adults are determined not by chronological age alone but by multidomain physiological reserve. The proposed pathway informs patient selection, procedural planning, and early post-discharge monitoring in older adults. Full article

The gut microbiota, acting as a critical extrinsic endocrine organ, is profoundly involved in the pathological evolution and therapeutic response of hormone-dependent malignancies. This review elucidates the core mechanisms governing the microbiota, endocrine, and immune triple-axis. Multi-omic and biochemical evidence demonstrates that microbial metabolic networks, comprising the estrobolome, androbolome, and progestobolome/corticobolome, rely on enzymatic systems such as β-glucuronidases (GUS) and steroid-17,20-desmolases to execute hormone deconjugation and structural modification, thereby modulating systemic steroid exposure. Concurrently, microbe-derived metabolites, such as secondary bile acids and purine derivatives, act as inter-kingdom messengers. These metabolites remodel the tumor immune microenvironment by antagonizing hormone receptors and activating specific signaling axes, such as the Inosine-A2AR pathway. By modulating localized immune cells like effector T cells and myeloid cells, they play a pivotal role in tumor immune evasion. Furthermore, pharmacomicrobiomics reveals a bidirectional regulation between anti-tumor agents and the gut microbiota, where endocrine and immunotherapeutic drugs can induce microbial dysbiosis, while specific gut taxa contribute to primary or acquired resistance by enzymatically inactivating drugs (e.g., reductive inactivation of Enzalutamide) or providing hormonal precursors through bypass pathways. Facing translational challenges, such as real-world microbiome complexity and the colonization resistance of indigenous flora, we propose treating the human body as a unified host–microbe holobiont system. Future research should leverage gnotobiotic models and genetic causal inference to establish functional causality. These efforts will facilitate the development of precision tools, including ubiquitin–proteasome system (UPS) modulators, microbial enzyme inhibitors, and engineered live biotherapeutics. Collectively, these systems biology strategies offer a robust framework for overcoming therapeutic resistance in hormone-dependent malignancies. Full article

Objective: Village Health Volunteers (VHVs) are vital to Thailand’s primary healthcare, yet many face high risks for non-communicable diseases (NCDs). This preliminary study aimed to implement health empowerment theory-based personalized health promotion for individuals in the NCD-risk group. Methods: The preliminary mixed-methods study implemented a 6-month empowerment-based health promotion program for 21 VHV leaders (mean age 62.43 ± 7.28 years) at risk for NCDs. The intervention integrated laboratory data, behavioral and qualitative focus-group insights, and quantitative anthropometric data obtained via bioelectrical impedance analysis (BIA). Results: Participants’ exercise adequacy significantly improved after the intervention, increasing from 8.3% to 61.9% (p = 0.03). BIA revealed a physiological shift toward improved energy homeostasis, including decreased body weight, reduced visceral fat area, and increased muscle hydration. While biochemical markers did not reach statistical significance, clinically favorable downward trends were observed in median HbA1c (8.0% to 7.3%) and LDL cholesterol (141.8 to 119.0 mg/dL), alongside stable renal and liver function. Qualitative thematic analysis identified four primary domains of impact: sustainability and systemic advocacy, personal transformation, broad competence acquisition, and enhanced social capital. Participants reported a marked increase in self-efficacy, transitioning from inactive beneficiaries to active health advocates. This change was largely driven by mastery experiences, such as visible improvements in body composition and functional health literacy. Conclusions: The empowerment program significantly improved physical activity and body composition while fostering the social capital and health literacy necessary for community leadership, suggesting that personal health mastery is a critical precursor to effective systemic advocacy and long-term sustainability in community-led health programs. Full article

Remote-sensing inversion of water-quality parameters is a critical interdisciplinary field, integrating remote-sensing technology, environmental science, and water resources management, providing key technical support for precise water resources monitoring and ecological governance. To address the lack of comprehensive systematic reviews in this field, this study conducted a bibliometric-based narrative review, selecting 2812 valid English studies published during 1980–2026 from the Web of Science Core Collection (WOSCC) and performing in-depth knowledge mapping analysis via CiteSpace software. The results showed that global research in this field has gone through three stages: initial exploration (1980–2000), slow growth (2001–2015), and rapid explosion (2016–2026). China ranks first in publication volume worldwide, with a collaborative research pattern dominated by core institutions, including the Chinese Academy of Sciences, Wuhan University, and the National Aeronautics and Space Administration (NASA). The core research hotspots focus on multi-source data fusion, AI-driven inversion-model optimization, and the research shift from coastal to inland water bodies. Current research faces three key challenges: poor adaptability of multi-source data-fusion technologies to water-quality monitoring, inadequate integration of geospatial and thematic factors in inversion models, and an insufficient systematic approach of inland-water-body research. Accordingly, future research should focus on advancing remote-sensing data-fusion methods, further optimizing water-quality inversion models, and strengthening inland-water-body studies. This study clarifies the field’s development context and research characteristics, providing valuable references for subsequent academic exploration and practical applications in water resources management. Full article

Background/Objectives: Cerebral palsy (CP) is the most prevalent physical disability in the pediatric population, resulting in functional limitations and restrictions in participation, with higher prevalence rates in low- and middle-income countries. Caregivers of children and adolescents with CP face both physical and emotional challenges, and their perceptions of the body may act as contextual and cultural indicators shaping children’s participation, care practices, and well-being within the family environment. This study aimed to understand the perceptions, values, and cultural beliefs of family caregivers about the bodies of children and adolescents with CP. Methods: A qualitative study was conducted using six focus groups with 22 mothers and grandmothers of children and adolescents with CP. Participants were recruited from rehabilitation services. Discussions were audio-recorded, transcribed verbatim, and analyzed using content analysis. The analytical process involved systematic coding, categorization, and thematic interpretation to identify recurring meanings and patterns across narratives. Results: Three thematic categories emerged: (1) perceptions of the body within social interactions; (2) viewing the body as capable of performing activities independently when stimulated/taught; and (3) viewing the body as dependent, requiring constant supervision and support. Conclusions: The findings highlight the need to expand family caregivers’ knowledge about CP to promote children’s participation and mitigate beliefs related to limitations, dependence, fragility, and vulnerability. Full article

Yushu yaks face nutritional deficiency and poor production performance in the cold season on the Qinghai–Tibet Plateau, yet their metabolic responses to different feeding modes remain unclear. This study investigated the effects of traditional grazing, grazing with concentrate supplementation, and TMR stall-feeding on 90 four-year-old Yushu yaks (30 per group) during a 180-day cold-season trial, by determining body weight changes, serum biochemical parameters and plasma metabolic profiles. Stall-fed yaks had the highest average daily gain (259.05 ± 61.56 g/d), while grazing yaks showed negative gain (−279.50 ± 44.45 g/d) and supplementary-fed yaks had intermediate performance; grazing yaks had stronger antioxidant enzyme activity, and supplemented/stall-fed yaks had higher serum mineral and albumin levels. Metabolomic analysis identified 2024 plasma metabolites, with grazing yaks enriched in plateau adaptation and antioxidant pathways, stall-fed yaks in energy metabolism pathways, and supplementary-fed yaks in both growth and antioxidant pathways. Our findings confirm that gradient nutritional interventions regulate the balance between yak growth and plateau adaptability, with concentrate supplementation as the optimal cold-season feeding mode for local herders and stall-feeding suitable for intensive breeding to maximize growth efficiency. Full article

Blind and visually impaired individuals face persistent challenges when navigating unfamiliar environments, where unseen obstacles compromise their safety and independence. Although many electronic travel aids have been proposed, most remain impractical for daily use—they often rely on bulky or costly hardware, require external processing, or provide unintuitive feedback. This work presents a wearable stereo-vision-based vibrotactile system for real-time obstacle detection and navigation assistance. The device combines an off-the-shelf stereo camera integrated with a simultaneous localization and mapping framework to perceive spatial geometry and detect obstacles in the user’s path. Two stereo-matching methods were implemented to estimate depth: a block-based algorithm optimized for low-latency performance and a semi-global approach providing denser depth maps. Detected obstacles are translated into distinct vibration patterns delivered through four skin-contact body-mounted actuators encoding both direction and distance. The system was evaluated with blindfolded sighted, visually impaired, and blind participants. Both stereo approaches supported reliable real-time guidance and high obstacle-avoidance rates, demonstrating robust performance on affordable, wearable hardware. These findings confirm the feasibility of real-time tactile guidance using commercially available components, marking a concrete step toward accessible navigation support that enhances safety and autonomy for blind and visually impaired individuals. Full article

Background: The rising prevalence of childhood overweight/obesity (OWOB) and elevated blood pressure (EBP) parallels a global decline in muscular fitness. However, evidence linking whole-body muscular strength to the comorbidity of these cardiometabolic risks remains scarce. Methods: Data were obtained from five nationally representative waves of the Chinese National Survey on Students’ Constitution and Health (CNSSCH, 2000–2019), including 1,072,404 children and adolescents aged 7–18 years. A novel Muscle Strength Index (MSI) was developed by integrating handgrip strength (HGS) and standing broad jump (SBJ), standardized for body weight and height, respectively. Generalized linear mixed-effects models (GLMMs) with restricted cubic splines (RCS) were first applied to characterize dose–response associations. Subsequently, categorical analyses and forest plots were conducted to quantify risks of OWOB, EBP, and their comorbidity across five waves and subgroups. Sex-specific normative reference curves were established using the LMS method, and population-attributable fractions (PAFs) were estimated to assess the potential public health benefits of improving muscular strength. Results: Between 2000 and 2019, the prevalence of OWOB, EBP, and comorbidity increased markedly, reaching 25.80%, 12.23%, and 4.83% in 2019, and are projected to rise further to 37.88%, 20.16%, and 10.01% by 2030. Over the same period, mean MSI increased from 2000, peaked in 2005, and subsequently declined by 2019 with the values for boys and girls, being 1.73, 1.75, 1.63 and 1.46, 1.49, 1.41, respectively. Dose–response analyses revealed consistent L-shaped associations, with the greatest risk reductions observed when moving from low to moderate MSI levels. In 2019, participants with low MSI had higher odds of OWOB (OR 4.81, 95% CI 4.65–4.97), EBP (OR 1.42, 95% CI 1.36–1.49), and comorbidity (OR 3.49 95% CI 3.26–3.73) compared with those at middle levels. PAF analyses indicated that improving MSI to at least the 40th percentile could potentially avert 43.5% of OWOB cases, 12.3% of EBP cases, and 48.2% of comorbidity cases. The highest potential benefits were observed in northern and northeastern provinces, particularly Tianjin and Heilongjiang. Conclusions: Chinese children and adolescents face a dual burden of rising cardiometabolic comorbidity and declining muscular strength. Muscular strength demonstrates a strong nonlinear protective association with OWOB, EBP, and their co-occurrence. Targeted improvement among those with low muscular strength may substantially reduce future cardiometabolic burden. Full article

Elementary music teachers in the United States face many challenges today, including an increasing cultural divide between teachers and students, worsening student behavior, and excessive exposure to technology in children’s lives. These challenges are magnified due to the hundreds of students elementary music teachers see weekly, the lack of teaching and planning time, and inadequate teaching resources, making it difficult to fully understand the culture and learning needs of every child. However, music educators may find culturally sustaining pedagogy (CSP) a useful tool for meeting the needs of a diverse student body. Further, when teachers engage in kid culture, the environments and activities that only children have, there is a plethora of music and media to use that children prefer that can help increase engagement and reduce behavioral problems. In this Perspective article, I provide three sample lessons that model instructional strategies that challenge current systems of power and representation in music education and center student agency through singing, chanting, moving, playing, and creating. Using repertoire that students already know and prefer, such as “Old Town Road,” Fortnite dances, and the song “See You Again”, draws from children’s funds of knowledge. Moving away from the Western art music canon and traditional formal education structures (like standard notation) in favor of learning by ear, peer collaboration, and improvisation decolonizes the curriculum. Critical reflexivity occurs when the teacher acts as a learner, constantly adjusting lessons to ensure student agency and addressing ethical issues, such as the intellectual property rights of creators whose work is used in media like Fortnite. By using melodies, songs, and video game movements children already know, music teachers can use the materials and learning processes in kid culture to engage in culturally sustaining pedagogy. I aim to inspire educators and researchers to reflect on sustaining children’s dynamic, cultural practices and better understand how to authentically bring popular music and media into elementary music lessons to provide a more engaging, relevant, and transformative music education. Full article

In order to ensure the smooth and safe advancement of mining faces through abandoned roadways (ARs), this study investigates the backfilling process in a mining operation in western China, where abandoned roadways continuously appear ahead of newly arranged mining faces. A theoretical analysis of the immediate roof of the roadway is conducted, leading to the conclusion that the optimal spacing between backfilling bodies is 8 m. Numerical simulation software is used to examine the effects of different backfilling body lengths—6 m, 8 m, and 10 m—on the stress state, deformation characteristics, and stress distribution of the surrounding rock during mining. Based on the simulation results, appropriate backfilling body lengths are selected: 8 m for ARs perpendicular to the mining face and 10 m for ARs parallel to the mining face. The proposed backfilling process is validated through industrial tests, demonstrating its effectiveness in ensuring mining safety and improving economic efficiency. Full article

Reconstructing photorealistic and animatable whole-body avatars from monocular videos is a hot topic in computer vision and computer graphics. However, existing methods still face challenges due to the limited frequency response of single-scale geometry encodings and the instability of appearance modeling without an explicit surface anchor. In this paper, we present H²Avatar, a real-time framework that builds on a mesh-embedded 3D Gaussian representation guided by SMPL-X and disentangles geometry and appearance into hierarchical and hybrid components. For geometry, we propose a semantic-aware hierarchical encoding based on a multi-scale tri-plane pyramid, where features at different resolutions capture both global structure and high-frequency surface details such as clothing wrinkles. For appearance, we introduce a hybrid rendering strategy that anchors canonical colors using a learnable UV texture map, and complements it with a neural residual color branch conditioned on tri-plane features, pose embedding, and surface normals to model pose- and view-dependent shading variations. This design improves temporal stability and preserves identity details while enhancing photorealism under complex motions. Experiments on the NeuMan dataset demonstrate that H²Avatar consistently outperforms representative baselines across multiple sequences, outperforming ExAvatar by up to 0.66 dB in PSNR and reducing LPIPS by up to 16.3%. These results validate the effectiveness of hierarchical geometry encoding and texture-anchored hybrid appearance modeling. Full article

Sparassis latifolia is an edible and medicinal mushroom with significant economic value, now commercially cultivated on a large scale in China. However, current cultivars face challenges, including an extended mycelial growth period and unstable fruiting body yields. Advances in molecular breeding and functional genomics for this species are hindered by the absence of a reliable genetic transformation system. In this study, we first determined that S. latifolia is highly sensitive to carboxin and hygromycin, two selective agents commonly used in fungal genetics. We subsequently constructed a novel binary vector, pCbxHyg, harboring a carboxin resistance cassette driven by its native Pleurotus eryngii promoter and a hygromycin resistance cassette under the control of the P. eryngii Glycerol 3-phosphate dehydrogenase (GPD) gene promoter. Initial transformation attempts using Agrobacterium-mediated transformation of liquid-cultured mycelial pellets were unsuccessful. During microscopic examination, we discovered that S. latifolia mycelia produce abundant asexual chlamydospores. Using these chlamydospores as recipient material, we efficiently and reproducibly obtained transformants with the pCbxHyg vector under both carboxin and hygromycin selection. This method highlights the advantage of using asexual spores of Basidiomycetes as recipients for genetic transformation. PCR analysis confirmed the stable integration of the exogenous resistance genes into the fungal genome. The functionality of the system was further validated by transforming chlamydospores with a vector carrying a β-glucuronidase (GUS) reporter gene, whose expression was confirmed via histochemical staining of the resulting transformant mycelia. This work establishes the first successful Agrobacterium-mediated genetic transformation system for S. latifolia, providing a foundational platform for future gene function studies and molecular breeding efforts. Full article

Although Spain has formally aligned with the 2030 Agenda, the implementation of the Sustainable Development Goals (SDGs) remains uneven and fragmented. This study proposes a multi-criteria framework for evaluating national SDG performance between 2015 and 2024. The approach combines trend analysis, statistical coverage, and distance-to-target metrics. The results reveal clear structural asymmetries. Spain has made significant progress in terms of health, education, and access to energy. However, the country continues to underperform in terms of inequality, climate action, biodiversity, and institutional effectiveness. These disparities are exacerbated by data limitations, as several SDGs lack updated, disaggregated information. The findings highlight a systemic disconnect between political commitment and implementation capacity. Key weaknesses include limited policy coherence, poor coordination between government bodies, and inadequate fiscal alignment with sustainability goals. This study contributes to shifting the focus from reporting on indicators to governance for sustainability by integrating quantitative analysis with structural interpretation. The proposed framework is transparent and adaptable, offering relevant insights for countries facing similar challenges in decentralised governance contexts. Full article