Elucidating the biological characteristics of overweight populations based on urine Raman spectroscopy and bioinformatics analysis.

Atmospheric deposition as a pathway for microplastic transport to the marine environment: Temporal variation and environmental factors.

Obesity and genetics: advances in understanding genetic factors and their clinical impact

Chemical pollutants are mobilized during rainfall episodes in urban and industrial areas. As a result, complex mixtures of pollutants may enter freshwater ecosystems, potentially exacerbating the individual pollutant effects on aquatic organisms and on ecosystems functioning. We investigated the ecological impacts of five runoff episodes on an urban stream (Girona, Spain) by assessing the effects on the structure and function of river biofilms, and on the community composition of macroinvertebrate assemblages. Each of the five rainfall events was evaluated independently using a Control (upstream) vs Impact (downstream of the urban runoff entrance) design. Urban runoff transported high concentrations of dissolved organic carbon, and a suite of organic (1,3-diphenylguanidine) and inorganic pollutants (zinc, copper). These added to other pollutants which were already present in the urban stream. Small-scale flood events following rainfall episodes caused biofilm detachment, confounding the effects of hydrological disturbance with those of urban runoff pollutants. Urban runoff caused peaks in nutrient, DOC and pollutant concentrations, consistently adding to an increase in chlorophyll-a content, phosphatase activity and bacterial densities in river biofilms. Macroinvertebrate composition variations mostly reflected temporal dynamics. Overall, pollutant impacts associated with urban runoff became masked by environmental factors, and effects on biofilm communities were most evident after events of moderate rainfall, which allowed pollutant-driven responses to emerge. These findings indicate that recurrent urban runoff episodes can increase ecological risks in urban streams, particularly under scenarios of increasing urbanisation and climate-driven extremes.

Unveiling the impact of atmospheric temperature on antifungal resistance and virulence factors in Candida spp. isolated from forest ecosystem.

Unraveling geographical heterogeneity and spatial distribution of Long pepper fruits: An integrative analytical perspective.

Effects of iron, manganese, and aluminum oxides on soil cadmium distribution coefficient: A multi-scale analysis based on explainable machine learning.

An integrated review of glyphosate ecotoxicity and environmental fate in aquatic systems using species sensitivity distributions and meta-analysis.

Within nursing education and practice, disability has been shaped by models of disability that narrowly focus on rehabilitating the body to a normative, able-bodied state. This has profound moral implications for nursing practice and affects the nurse-patient dynamic. Typically, this empowers the nurse while disempowering the disabled person by portraying the nurse as the expert in disability and the disabled person as a passive recipient of care. This paper applies crip theory, specifically McRuer's framework of compulsory able-bodiedness, to critically examine the enduring presence of the charity, moral, and medical models of disability in nursing education and practice. Compulsory able-bodiedness is the system that produces disability by othering non-normative bodies. This produces a hierarchy of bodily normalcy, with people who are able-bodied at the top, people with visible disabilities in the middle, and people with invisible disabilities at the bottom. I argue that these three historically dominant models are etic, ignore disabled people's voices, and perpetuate ableist assumptions that limit the profession's capacity to support disabled people in liberatory and socially just ways. I then present an alternate crip paradigm: the social model of disability. The social model of disability offers nurses the opportunity to honour the disabled person as the expert in their care, focus on the individual's strengths rather than deficits, and recognise the complex interplay between physiological, social, political, and environmental factors that contribute to the experience of disability. In raising this critical consciousness, I call for a reimagined nursing education and practice that honours disability as a source of knowledge, transformation, and resistance.

Distribution, sources, and controlling factors in surface sedimentary organic matter of a typical degraded coral reef ecosystem in China.

Multi-media distribution, source apportionment, and risk assessment of legacy and current-use organophosphorus pesticides in typical agricultural watersheds of China.

The future of PCOS management: Disease modification through regenerative, metabolic, and digital therapeutics.

A review of antibiotic accumulation, degradation and ecological risk in typical mangrove ecosystems.

Effects of ecological and environmental factors on water use efficiency of major terrestrial ecosystem in China

Combined effects of incubation temperature and lipopolysaccharide exposure on immune response modulation in the quail gut.

This dataset presents experimental data on the performance of a photovoltaic (PV) solar-powered water pumping system installed in a coffee plantation in Chiang Mai province, Thailand. The system performance was evaluated through controlled experiments using response surface methodology (RSM). Three independent variables were systematically varied: solar irradiance (300-900 W/m²), panel inclination (15-35°), and panel surface temperature (30-60°C). A total of 15 experimental runs were conducted, and the pumping efficiency (%) was recorded under each condition. Statistical analyses, including analysis of variance (ANOVA) and regression modeling, were applied to evaluate the effects of the individual variables and their interactions on system performance. The dataset includes raw and processed measurements, regression coefficients, and response surface parameters, enabling replication and further analysis. Perturbation plots, 3D surface plots, and contour plots provide detailed visualizations of the relationships between environmental factors and system efficiency. The optimal operating conditions were identified at a solar irradiance of 600 W/m², a panel inclination of 25°, and a panel surface temperature of 45°C, corresponding to a predicted maximum efficiency of 76.3-77.0%. This dataset can be reused for designing optimized solar water pumping systems, validating predictive models, and comparing system performance under different environmental conditions or geographic locations. It also serves as a reference for researchers in renewable energy system optimization and agricultural water management. The data provide high-resolution, experimentally validated information on the combined effects of solar irradiance, panel inclination, and panel surface temperature on PV water pumping efficiency. Unlike previous studies, it includes detailed quantitative analysis specific to coffee-growing regions in Northern Thailand, along with regression models and visualizations that can guide both experimental replication and predictive modeling under similar climatic and agricultural conditions.

Antagonistic effects of microplastic biofilms on antibiotic resistance gene horizontal transfer in water environments.

Effects of lighting technologies on the physiology of a marine diatom, Cocconeis scutellum var. parva (Bacillariophyceae): 2. production of antioxidants and other bioactive compounds.

Infestation rate of bovid short nose lice (Haematopinus tuberculatus) among different breeds of buffaloes and associated risk factors in rural farming of Pakistan.

Computer simulation of optical measurement systems plays a crucial role in the design, analysis, and optimization of real-world measurement solutions. However, acquiring real measurement data often involves challenges such as a complex experimental setup, sensitivity to environmental conditions, and the presence of noise and calibration errors, which can hinder controlled algorithm evaluation. To address this issue, in this data article, we introduce datasets generated using a simulated 3D structured light scanner. These samples are produced by projecting a series of sinusoidal and Gray code patterns onto various 3D objects using a simulated projector. The simulated environment also provides the flexibility to apply different surface materials and controlled illumination conditions, enabling systematic testing of algorithms under diverse yet precisely defined scenarios. This approach eliminates real-world uncertainties and errors associated with scene setup and environmental factors, supporting the development and evaluation of point cloud processing and surface reconstruction algorithms in controlled conditions.