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http://dx.doi.org/10.1097/JS9.0000000000003148 | DOI Listing |
Arthritis Rheumatol
September 2025
Division of Rheumatology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
ACS Sens
September 2025
Institute of Applied Mechanics, National Taiwan University, Taipei 106, Taiwan.
In recent AI-driven disease diagnosis, the success of models has depended mainly on extensive data sets and advanced algorithms. However, creating traditional data sets for rare or emerging diseases presents significant challenges. To address this issue, this study introduces a direct-self-attention Wasserstein generative adversarial network (DSAWGAN) designed to improve diagnostic capabilities in infectious diseases with limited data availability.
View Article and Find Full Text PDFBioessays
September 2025
Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Chiba, Japan.
Vertebrate gonadal function is regulated by pituitary gonadotropins, follicle-stimulating hormone (FSH) and luteinizing hormone (LH). These hormones are considered to be regulated by hypothalamic factor(s). Since the discovery of gonadotropin-releasing hormone (GnRH) in mammals, which stimulates the secretion of both FSH and LH, GnRH had been believed to be the sole gonadotropin-releasing hormone in vertebrates for more than 5 decades.
View Article and Find Full Text PDFNat Genet
September 2025
Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
Aberrant DNA methylation has been described in nearly all human cancers, yet its interplay with genomic alterations during tumor evolution is poorly understood. To explore this, we performed reduced representation bisulfite sequencing on 217 tumor and matched normal regions from 59 patients with non-small cell lung cancer from the TRACERx study to deconvolve tumor methylation. We developed two metrics for integrative evolutionary analysis with DNA and RNA sequencing data.
View Article and Find Full Text PDFISA Trans
September 2025
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, No. 95 ZhongGuanCun East Road, HaiDian District, Beijing, PR China. Electronic address:
This work investigates the problem of collaborative target tracking by multiple unmanned aerial vehicles (UAVs) in maritime search and rescue. A class of time-varying (TV) convex optimization problems with inequality constraints is presented. In contrast to existing studies that address UAV-based maritime search and rescue under fixed wind speed conditions, this study also explores collaborative target tracking by UAVs under varying wind speed conditions.
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