Non-stationary framework of quantifying heat-driven drought propagation mechanisms in the Yellow River Basin of China See

Drought evolution in the Yellow River Basin has become increasingly complex under climatic warming and intensified human disturbance, challenging conventional stationary monitoring approaches. In this study, we developed an integrated framework to characterize meteorological (MD), agricultural (AD), and hy...

Disruption of the thyroid hormone system and patterns of altered thyroid hormone serum concentrations after chemical exposures in adult rodents – a systematic review See

Identification of thyroid hormone system-disrupting chemicals (THSDC) requires a solid understanding of the mechanisms by which exposure leads to adverse outcomes in the thyroid hormone system (THS). In this systematic review we present the results from our extensive evidence mapping of thyr...

Status Fixity and Dirty Workers’ Experiences of Recognition See

Based on interviews with waste management workers, this study focuses on changes in low-paid/low-status workers’ experiences of recognition during and after the pandemic. In this article, we explore these developments, drawing on the work of Honneth, Fraser, Neckel and Reckwitz. Our ana...

Graph-Centric Deep Q-Learning for Interference-Aware Resource Allocation in Rsma-Enabled 5G Slicing See

The emergence of 5G and 6G advanced ecosystems demands highly adaptive resource management to orchestrate the specialised requirements of eMBB, URLLC, and mMTC network slices. In dense multi-cell environments, capturing complex spatial interdependencies and mitigating dynamic interference is paramount ...

LGCF-Net: Local-Global Competitive Fusion for Ultra-Lightweight Medical Image Segmentation See

Although deep neural networks possess powerful feature representation capabilities, they typically demand massive parameter scales and heavy computational burdens, while current lightweight alternatives that reduce model sizes through operations like pruning or depthwise separable convolutions often struggle to...

Google-Search Data for Psychological Scientists: A Tutorial and Best Practices See

Google searches have been described as the most important data set on the human psyche ever assembled. Google-search data—accessible through a tool called Google Trends—can provide new insights on topics as varied as stereotypes and prejudices, political attitudes, religious identity and bel...

The Neurodivergent Musician: A Methodology Report on A Participatory Action Research Study See

According to estimates, the prevalence of various forms of neurodivergence is much higher among musicians than in the general population. Despite this fact, we know very little about the lived experiences of neurodivergent (ND) musicians in professional settings, such as educational institut...

Sedentary Behaviour Change: Barriers and Strategies Reported by Individuals with Type 2 Diabetes during a Multi- Component Intervention See

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Recommendations for conducting qualitative research on multiple long-term conditions (MLTC) from a qualitative methods community of practice See

The growing prevalence of multiple long-term conditions (MLTC) – two or more long-term health conditions – has been recognised as one of the most significant health challenges facing contemporary societies. People living with MLTC experience poorer outcomes than people with one long-term...