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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...

Current international guidelines encourage cancer patients to engage in physical activity and recommend mind-body therapies (MBTs) as a method for treating cancer-related pain (CRP). However, the most effective MBTs for ...

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...

Abstract To investigate the current status of occupational calling among psychiatric nurses, identify its correlated factors, and explore the probabilistic dependencies and network structure using a Bayesian network mode...

BackgroundCatheter-related thrombosis (CRT) is a common complication following central venous catheter (CVC) placement in patients with cancer, increasing mortality and adverse outcomes. However, robust evidence on optim...

Challenges in drug discovery include biosynthetic gene clusters which remain silent under standard laboratory culture conditions. On the other hand, the rediscovery of the known compounds is inevitable. Accordingly, One ...

Probabilistic analysis is an emerging field of structural engineering which is very significant in structures of great importance like dams, nuclear reactors etc. In this work a Neural Networks (NN) based Monte Carlo Sim...

The paper presents an exploratory study of the intra-organizational learning network in the context of a Spanish high-tech company. It expands the generalization of the network perspective to intra-organizational learnin...

Abstract Esophageal cancer (EC) is a malignant tumor characterized by high incidence and mortality, and its complex pathogenesis necessitates the development of effective therapeutic strategies. In this study, we investi...

Introduction Metabolic dysfunction-associated steatotic liver disease (MASLD) is a leading cause of morbidity and mortality due to chronic liver disease. There is an extensive body of evidence focusing on pharmacotherapy...

Abstract Background Polycystic ovary syndrome (PCOS) is characterised by insulin resistance and hyperandrogenism; whether novel antidiabetic drugs differentially improve these metabolic and reproductive disturbances rema...

BackgroundPatients with differentiated thyroid cancer (DTC) undergoing radioactive iodine (RAI) therapy experience concurrent physical and psychological symptoms, yet the dynamic interplay among these symptoms remains in...

Machine learning has evolved into a potent tool for analysing patterns and making predictions from complex data. In this machine learning era, we employed neural network techniques to estimate the parameters of statistic...

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...

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...

Abstract To address the challenge of low adaptability in distribution network planning caused by significant regional differences in electricity consumption, this paper proposes a distribution network planning method bas...

Abstract Petroleum engineers must accurately determine bubble point pressure (Pb) to optimize oil field development from discovery to abandonment. Errors in predicting this parameter can lead to inaccurate reservoir and ...

Abstract Introduction Network meta-analysis (NMA) is a key tool for comparing multiple treatments. However, its reliability can be compromised by inconsistencies in methodology and reporting. We conducted this meta-resea...

The prediction of suspended sediment concentration (SSC) is of critical importance for the management of aquatic ecosystems, flood control, and erosion assessments. However, the continuous measurement of SSC is technical...

Understanding how semantic information flow reorganizes market topology remains an open challenge in financial network analysis. Prior work typically emphasizes price correlations or sentiment polarity, but rarely quanti...

In the past decade, social transformations such as pandemics, inequality, migration, and digitalization have significantly influenced the growth of social research. Research on the dynamics of public life in internationa...

Abstract Objective By using molecular network technology to analyze the transmission characteristics of the CRF55_01B strain in Yunnan Province, we aimed to identify high-risk transmitters, trace the origin time, locatio...

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...

High accuracy positioning has become a key capability for fifth generation (5G) mobile networks and their future generations; however, the achievable performance is still severely limited by network time synchronization,...