Browse Articles

Anger and emotion regulation strategies: a meta-analysis

Immune signature and pathways investigation of adrenal gland diffuse large B-cell lymphoma

KRT7 promotes pancreatic cancer metastasis by remodeling the extracellular matrix niche through FGF2-fibroblast crosstalk

Structural Transformation and Degradation of Cu Oxide Nanocatalysts during Electrochemical CO ₂ Reduction

Photothermal conversion and geochemical characterization of sulfur-rich lignite for non-conventional energy applications

PIA-A secure and efficient identity authentication scheme in telemedicine via the PUF method

An advanced robotic system incorporating haptic feedback for precision cardiac ablation procedures

Multiple Reaction Pathways for Oxygen Evolution as a Key Factor for the Catalytic Activity of Nickel–Iron (Oxy)Hydroxides

Collaborative optimization of truck scheduling in container terminals using graph theory and DDQN

Combining an improved political optimizer with convolutional neural networks for accurate anterior cruciate ligament tear detection in sports injuries

Behavioral and pathological characteristics of 5xFAD female mice in the early stage

Smoking, and to a lesser extent non-combustible nicotine use, is associated with higher levels of alcohol consumption and risky drinking

Abstract This study aimed to estimate differences in alcohol consumption, receipt of alcohol brief intervention, and alcohol reduction attempts by smoking status and use of non-combustible nicotine (including e-cigarettes, nicotine replacement therapy, heated tobacco products, or nicotine pouches). Data were from a representative household survey of adults in England (n = 188,878). Participants who reported former or current smoking scored approximately 1 point higher, on average, on the AUDIT-C (which measures alcohol consumption) than those who had never regularly smoked (B adj=0.97 [95%CI 0.93–1.00] and 0.92 [0.87–0.96], respectively) and had double the odds of risky drinking (AUDIT-C ≥ 5: ORadj=2.04 [1.98–2.10] and 2.03 [1.97–2.10], respectively), while differences for those who did versus did not use non-combustible nicotine use were less pronounced (AUDIT-C: B adj=0.14 [0.08–0.21]; AUDIT-C ≥ 5: ORadj=1.09 [1.04–1.13]). Among participants who engaged in risky drinking, those who smoked (vs. not) were more likely to report receiving alcohol brief interventions, and those attempting to quit smoking (vs. not) were more likely to report alcohol reduction attempts. Overall, combustible and - less so - non-combustible nicotine use is associated with higher levels of alcohol consumption and risky drinking.

Flight testing of drone-delivered automated external defibrillators for simulated out-of-hospital cardiac arrest in suburban Thailand

Enhancement of electric field uniformity using 3-phase circular electrodes in RF heating applications

Weather-driven risk assessment model for two-wheeler road crashes in Uttar Pradesh, India

Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning

Conceptual design of airborne contra rotating VAWTs for rooftop wind energy

Abstract Co-rotating, counter, and contra-rotating Vertical Axis Wind Turbines (VAWTs) offer higher power yields than singular turbines due to synergetic interactions, making them ideal for rooftop applications. This study focuses on enhancing the efficiency of a Contra-Rotating VAWT (CR-VAWT) using a ducted airborne configuration. A wind gathering device (WGD), optimized via the Taguchi method, is integrated around the CR-VAWT, which is elevated using an oblate spheroid aerostat designed through a force-weight approach. CFD analyses reveal that incorporating the WGD boosts power output by 32% and increases instantaneous torque by 40% during dynamic stall. The WGD enhances flow redirection towards the rotor plane, achieving a 58% power gain at a 10°skew angle. By suppressing blade-tip vortex shedding, the WGD not only improves efficiency but may also reduce noise. This portable system is suitable for rooftops with limited space, requiring fewer turbines to meet energy demands while reducing noise and improving aesthetics. It also allows for integration with other renewable technologies like photovoltaics, promoting sustainability and lowering carbon footprints. A comprehensive implementation framework is presented to support future research on airborne VAWTs.

Root decomposition in Urochloa decumbens pastures fertilized with increasing nitrogen doses or intercropped with Calopogonium mucunoides

PCSK9 with a gain of function D374Y mutation aggravates atherosclerosis by inhibiting PPARα expression

Multinational modelling of PM2.5 and CO exposures from household air pollution in peri-urban Cameroon, Ghana and Kenya

Abstract In sub-Saharan Africa, approximately 85% of the population uses polluting cooking fuels (e.g. wood, charcoal). Incomplete combustion of these fuels generates household air pollution (HAP), containing fine particulate matter (PM2.5 ) and carbon monoxide (CO). Due to large spatial variability, increased quantification of HAP levels is needed to improve exposure assessment in sub-Saharan Africa. The CLEAN-Air(Africa) study included 24-h monitoring of PM2.5 and CO kitchen concentrations (npm2.5 = 248/nCO = 207) and female primary cook exposures (npm2.5 = 245/nCO = 222) in peri-urban households in Obuasi (Ghana), Mbalmayo (Cameroon) and Eldoret (Kenya). HAP measurements were combined with survey data on cooking patterns, socioeconomic characteristics and ambient exposure proxies (e.g. walking time to nearest road) in separate PM2.5 and CO mixed-effect log-linear regression models. Model coefficients were applied to a larger study population (n = 937) with only survey data to quantitatively scale up PM2.5 and CO exposures. The final models moderately explained variation in mean 24-h PM2.5 (R2 = 0.40) and CO (R2 = 0.26) kitchen concentration measurements, and PM2.5 (R2 = 0.27) and CO (R2 = 0.14) female cook exposures. Primary/secondary cooking fuel type was the only significant predictor in all four models. Other significant predictors of PM2.5 and CO kitchen concentrations were cooking location and household size; household financial security and rental status were only predictive of PM2.5 concentrations. Cooking location, household financial security and proxies of ambient air pollution exposure were significant predictors of PM2.5 cook exposures. Including objective cooking time measurements (from temperature sensors) from (n = 143) households substantially improved (by 52%) the explained variability of the CO kitchen concentration model, but not the PM2.5 model. Socioeconomic characteristics and markers of ambient air pollution exposure were strongly associated with mean PM2.5 measurements, while cooking environment variables were more predictive of mean CO levels.