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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...

BackgroundExercise therapy is the first-line treatment for postpartum stress urinary incontinence (PSUI); however, the optimal regimen remains unclear.ObjectiveThis study aimed to compare the effects of different exercis...

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...

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...

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...

In response to the unstable accuracy rate of fault location in distribution network lines and the significant impact of communication with distribution automation devices, the fault perception analysis of distribution ne...

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...

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...

Media sosial sebagai media informasi dan komunikasi mulai berkembang pesat sejak internet mudah diakses. Orang dengan mudah menyatakan pendapat, ekspresi, opini, dan informasi melalui tulisan pada media sosial. Opini ata...

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...

Network-pharmacology is a field of pharmacology emerging from the observation that most clinical drugs have multiple targets, contrasting with the previously dominant magic bullet paradigm which proposed the search of ex...

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...