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Abstract Inequalities in social networks arise from linking mechanisms, such as preferential attachment (connecting to popular nodes), homophily (connecting to similar others), and triadic closure (connecting through mut...

Abstract Background The European Reference Network for rare Inherited and Congenital Anomalies (ERNICA) aims to improve care for patients with rare and complex digestive and gastrointestinal diseases across Europe throug...

Research background: innovation is a key factor in determining the growth of the creative industries sector. However, it also highlights the importance of the creative industries to the broader innovation process within ...

Science carried out in South America has experienced a major rise in the levels of productivity and impact during the last decade. The continuity of this process depends upon strong policy decisions of personnel training...

Abstract Background Cold water immersion (CWI) is a common method of post-exercise recovery, but the optimal protocols are not well understood. The lack of exercise-specific guidelines has caused confusion on how CWI sho...

BackgroundExercise interventions have been increasingly identified as potential non-pharmacological approaches to ameliorate cognitive and behavioural performance among children with Attention-Deficit/Hyperactivity Disor...

BackgroundAtopic Dermatitis (AD) in children is a common chronic skin condition characterized by dry, itchy and inflamed skin. Various treatments have been applied in the management of AD in children, but the differences...

Abstract Background Neuraxial block failure in obese parturients is a significant clinical challenge, leading to inadequate pain relief and increased maternal risk. Novel techniques such as the Combined Spinal-Epidural (...

ObjectiveTo systematically evaluate the effects of exercise therapies such as aerobic exercise (CAE), Tai Chi (TC), Baduanjin (BDJ), resistance training (RE), Wuqinxi (WQX), yoga (YG), and rehabilitation training (RT) on...

BackgroundMigraine is a common neurological disorder that substantially affects patients’ quality of life. Chinese botanical drug decoctions are used in migraine management; however, the comparative efficacy and safety...

In the modern globalized world, political processes increasingly occur as a result of interactions between individual actors who form networks. Contemporary political processes are examined through the lens of Policy Net...

Abstract Background Postpartum depression and anxiety are common and burdensome. Physical activity (PA) is a scalable intervention, yet the comparative effectiveness of PA modalities and optimal dosing in the postpartum ...

Tianhang Peng,1,* Wanyuan Liang,1,* Ju Wei,2 Ni Ding,3 Xiuqi Tang,3 Zike Zhang3 1School of Sports Science, Beijing Sport University, Beijing, 100084, People’s Republic of China; 2School of English Studi...

This paper explores the application of convolutional neural networks (CNNs) in predictive modelling for seismic events and flood risks, with a particular focus on forecasting extreme quantile events that exceed historica...

INTRODUCTION: High renewable energy penetration introduces significant uncertainties in distribution networks, posing challenges for source-load power forecasting and voltage management. OBJECTIVES: This study aims to e...

Abstract Credit risk assessment is a critical function in financial analytics, requiring models that can adapt to diverse borrower profiles while providing clear and interpretable insights. Although a range of data drive...

Abstract Grid-connected renewable energy systems with high penetration rates exacerbate frequency fluctuations in microgrids, making traditional control methods ill-suited for random source-load variations. This paper pr...

Abstract Air-conditioning load forecasting is important for building energy scheduling and control. The task is difficult because load data show clear periodic patterns, and sudden changes caused by events such as holida...

Insider threats pose a significant and growing risk to organizational cybersecurity, with recent studies indicating a 47% increase in insider incidents from 2018 to 2022. This paper presents a comparative analysis of uns...

Automatic movement recognition is often used to support various fields such as clinical, sports, and security. To date, there is a lack of a classification feature that is both interpretable and not movement-specific. Pr...

Understanding how consumers behave in e-commerce is essential for businesses, especially in today’s digital world where people rely heavily on online shopping platforms. A key part of this understanding comes from sent...

The construction of a network capturing the topological structure linked to the interactions among species and the analysis of its properties constitutes a clarifying way to understand the functioning of an ecosystem at ...

For the structural health monitoring of composite materials, data analysis technology must be very sophisticated, capable of detecting fault patterns that are multi-level and complicated. A comprehensive deep learning pa...

Mobile Ad-Hoc Networks (MANET) is a type of ad-hoc networks which use less infrastructure, that means the nodes in this network forward the massages without the need of infrastructure such as routers, switches etc. One o...