Re-identification assistance and multi-stage association for pedestrian multi-object tracking by Ye Li, Li Zhan, Lei Wu, Hongkun Liu, Jianli Min, Xinzhong Wang

“…Therefore, we design a multi-object pedestrian tracking method that combines re-identification feature assistance and multi-stage data association (RAMA). This method innovatively focuses on the role of low confidence bounding boxes in MOT, and introduces a separately trained pedestrian re-identification model to extract discriminative features of pedestrians, then adds this feature to the multi-stage data association algorithm to improve the accuracy of multi-object tracking. …”
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Identification of subtypes and biomarkers associated with disulfidptosis-related ferroptosis in ulcerative colitis by Yinghao Jiang, Hongyan Meng, Xin Zhang, Jinguang Yang, Chengxin Sun, Xiaoyan Wang

“…Next, the hub genes were identified by differential analysis and WGCNA algorithms, and three machine learning algorithms were used to screen biomarkers for UC from hub genes. …”
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Machine learning applications in the analysis of sedentary behavior and associated health risks by Ayat S Hammad, Ayat S Hammad, Ali Tajammul, Ismail Dergaa, Ismail Dergaa, Ismail Dergaa, Maha Al-Asmakh, Maha Al-Asmakh

“…ML offers powerful tools for analyzing large datasets and identifying trends in physical activity and inactivity, generating insights that can support effective interventions.ObjectivesThis review aims to: (i) examine the role of ML in analyzing sedentary patterns, (ii) explore how different ML techniques can be optimized to improve the accuracy of predicting sedentary behavior, and (iii) assess strategies to enhance the effectiveness of ML algorithms.MethodsA comprehensive search was conducted in PubMed and Scopus, targeting peer-reviewed articles published between 2004 and 2024. …”
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The Role of the TIMP1/LINC01615 Axis as a Regulator of the EMT Pathway in Gastric Cancer by Jiying Liu, Yeganeh Olyaee, Khatere Mokhtari, Chaoxiang Lv, Niloufar Salimian, Maliheh Entezari, Afshin Taheriazam, Mehrdad Hashemi, Mazaher Maghsoudloo, Ling Yuan

“…Results DEG analysis identified 2,926 DEGs, among which 87 were associated with the EMT pathway. The LASSO algorithm reduced this list to 11 genes, and ROC curve analysis identified TIMP1 as a candidate biomarker in GCa. …”
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Utilizing Multi-omics analysis to elucidate the role of mitochondrial gene defects in Gastric cancer progression. by Jie Chu, Hanying Song, Kemin Fu, Wei Xiao, Jiudong Jiang, Qixin Gan, Bo Deng

“…DUSP1, a bispecific phosphatase regulating MAP kinase activity, has been associated with various cancers, but its role in GC remains unclear.…”
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Modeling emotional abuse based on emotional maturity and self-differentiation with the mediating role of marital intimacy by mehran sharifi, qumarth karimi, omid moradi, shokooh navabinejad

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The role of the SOX2 gene in cervical cancer: focus on ferroptosis and construction of a predictive model by Shenping Liu, Zhi Wei, Huiqing Ding

“…This study delineates the role of SOX2 in the ferroptotic landscape of cervical carcinoma. …”
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HLA-B27-associated uveitis: an independent disease or a variant of spondyloarthritis? by A. A. Godzenko, I. Yu. Razumova, I. A. Guseva

“…The paper highlights the relationship between HLA-B27-associated uveitis and spondyloarthritis (SpA). It presents the genetic aspects of inflammation of the eyes and musculoskeletal system, the role of the HLA-B27 histocompatibility antigen, and the contribution of other genes to the development of uveitis and spondylitis. …”
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Investigating the role of environmental factors in the French highly pathogenic avian influenza epizootic in 2022–2023 by Maryem Ben Salem, Mathieu Andraud, Stéphanie Bougeard, Virginie Allain, Morgane Salines, Rodolphe Thomas, Audrey Schmitz, Legrand Saint-Cyr, Karine Fiore, Sophie Le Bouquin, Axelle Scoizec

“…Based on the Gower distance, accounting for qualitative and quantitative variable, clusters were identified using k-medoid partitioning algorithm. A random forest analysis was further used to hierarchize the relative role of each variable in the clustering process, to assess the importance of the farm structural and environmental conditions on the outbreak occurrence. …”
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Elucidating the role of KCTD10 in coronary atherosclerosis: Harnessing bioinformatics and machine learning to advance understanding by Xiaomei Hu, Fanqi Liang, Man Zheng, Juying Xie, Shanxi Wang

“…The relationship between KCTD10 expression and immune processes was examined using CIBERSORT and ESTIMATE algorithms to assess tumor microenvironment characteristics, suggesting increased immune cell infiltration associated with higher KCTD10 expression. …”
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Targeted Detection of 76 Carnitine Indicators Combined with a Machine Learning Algorithm Based on HPLC-MS/MS in the Diagnosis of Rheumatoid Arthritis by Rui Zhang, Juan Wang, Xiaonan Zhai, Yuanbing Guo, Lei Zhou, Xiaoyan Hao, Liu Yang, Ruiqing Xing, Juanjuan Hu, Jiawei Gao, Fengjuan Wang, Jun Yang, Jiayun Liu

“…The diagnostic model developed shows excellent diagnostic capacity, improving early detection and enabling timely intervention to minimize disability associated with RA.…”
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NTCP polymorphisms were associated with fibrosis development in patients with chronic HBV infection by Zhenzhen Su, Bei Cai, Xiaojuan Wu, Lixin Li, Bin Wei, Liye Meng, Lu Wang, Lanlan Wang

“…However, information regarding the role of sodium taurocholate cotransporting polypeptide variants in the development of HBV-related advanced cirrhosis and hepatocellular carcinoma is limited. …”
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Developing a machine learning model for fast economic optimization of solar power plants using the hybrid method of firefly and genetic algorithms, case study: optimizing solar the... by Ali Omidkar, Razieh Es'haghian, Hua Song

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Using machine learning to discover DNA metabolism biomarkers that direct prostate cancer treatment by Ali Shakeri Abroudi, Melika Djamali, Hossein Azizi

“…Abstract DNA metabolism genes play pivotal roles in the regulation of cellular processes that contribute to cancer progression, immune modulation, and therapeutic response in prostate cancer (PC). …”
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Age-Related Choroidal Involution Is Associated with the Senescence of Endothelial Progenitor Cells in the Choroid by Ali Riza Nazari, Loraine Gresseau, Tiffany Habelrih, Aliabbas Zia, Isabelle Lahaie, Yosra Er-Reguyeg, France Coté, Borhane Annabi, Alain Rivard, Sylvain Chemtob, Michel Desjarlais

“…However, the contribution of EPCs and the role of senescence in age-related choroidal vascular degeneration remain to be investigated. …”
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The exposure to uteroplacental insufficiency is associated with activation of unfolded protein response in postnatal life. by Annalisa Deodati, Josepmaría Argemí, Daniela Germani, Antonella Puglianiello, Anna Alisi, Cristiano De Stefanis, Roberto Ferrero, Valerio Nobili, Tomás Aragón, Stefano Cianfarani

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The Role of Artificial Intelligence in Sports Analytics: A Systematic Review and Meta-Analysis of Performance Trends by Przemysław Pietraszewski, Artur Terbalyan, Robert Roczniok, Adam Maszczyk, Kajetan Ornowski, Daria Manilewska, Szymon Kuliś, Adam Zając, Artur Gołaś

“…Sixteen peer-reviewed studies spanning 13 distinct sports disciplines were included, employing a variety of AI techniques—from classical machine learning algorithms to advanced deep learning and computer vision models. …”
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Role of Aging in Ulcerative Colitis Pathogenesis: A Focus on ETS1 as a Promising Biomarker by Ni M, Peng W, Wang X, Li J

“…A series of machine learning algorithms was used to screen two feature genes (ETS1 and IL7R) to establish the diagnostic model, which exhibited satisfactory diagnostic efficiency. …”
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MiR-155 has a protective role in the development of non-alcoholic hepatosteatosis in mice. by Ashley M Miller, Derek S Gilchrist, Jagtar Nijjar, Elisa Araldi, Cristina M Ramirez, Christopher A Lavery, Carlos Fernández-Hernando, Iain B McInnes, Mariola Kurowska-Stolarska

“…Together these data indicate that miR-155 plays a pivotal role regulating lipid metabolism in liver and that its deregulation may lead to hepatic steatosis in patients with diabetes.…”
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An Intelligent Track Segment Association Method Based on Characteristic-Aware Attention LSTM Network by Jiadi Qi, Xiaoke Lu, Jinping Sun

“…Accurate track segment association plays an important role in modern sensor data processing systems to ensure the temporal and spatial consistency of target information. …”
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