959 papers
This study demonstrates that local probiotic treatment significantly attenuates inflammatory and histological deterioration while improving biomechanical outcomes in a rat rotator cuff repair model complicated by suprascapular nerve injury.
This population-based study in Oman found a 1.6% prevalence of keratoconus among school children aged 9–18, identifying the scissor reflex as the strongest predictor, with frequent eye rubbing and parental consanguinity also serving as significant risk factors.
This descriptive qualitative study reveals that generative AI impacts Chinese nursing and medical students differently across academic levels, necessitating a tiered educational support framework that transitions from basic usage guidance to advanced critical reflection to foster appropriate competency development.
A 2024 multi-centre pilot study in North Macedonia involving 1,050 women demonstrated the feasibility of transitioning to primary hrHPV-based cervical cancer screening, revealing an 11.1% prevalence rate and supporting national adoption of a strategy that directly refers HPV 16/18-positive women to colposcopy while monitoring other high-risk genotypes.
This paper presents a low-power transimpedance amplifier designed for 40 Gbps optical receivers using 32 nm CNTFET technology, which employs a regulated cascode structure with gain boosting and a diode-connected output to achieve a 51.4 dBΩ transimpedance gain, 28.3 GHz bandwidth, and 368 µW power consumption.
This action research study demonstrates that implementing a four-week sequential intervention combining Collaborative Strategic Reading, Modelled Reading, and Question-Answer Relationship strategies significantly improved reading comprehension performance among 50 Basic Two pupils in a Ghanaian public school, reducing the proportion of below-average performers from 60% to 14%.
This study evaluates machine learning algorithms for predicting preeclampsia in a small Sri Lankan cohort with severe class imbalance, finding that ensemble methods like XGBoost combined with SMOTE offer promising discrimination but emphasizing that the results remain methodological feasibility findings rather than clinically deployable tools due to limited sample size and lack of external validation.
This study proposes a graph neural network-based framework using multi-source data to identify and classify fine-grained rural settlement units in Dangyang, China, revealing their spatial network structure and key drivers to enable differentiated governance beyond traditional administrative village scales.
While energy-intensive cooling adaptation partially mitigates climate-driven labor productivity losses, it incurs rising welfare costs with diminishing returns, exacerbating economic inequality by disproportionately harming vulnerable Global South economies that lack sufficient adaptive capacity.
This paper presents a compartmental mathematical model for cyber-attack propagation on computer networks, proving its stability and conducting sensitivity and bifurcation analyses to demonstrate that transmission rates are the dominant factor in malware spread while robust recovery and control mechanisms can effectively mitigate infections.