Salivary Levels of Interleukin-17 in Iranian Patients With Systemic Sclerosis by Ali Tadayon, Javad Moayedi, Mohamad Ali Nazarinia, Mahyar Malekzadeh, Sara Kazemi, Maryam Mardani

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Improving drug repositioning with negative data labeling using large language models by Milan Picard, Mickael Leclercq, Antoine Bodein, Marie Pier Scott-Boyer, Olivier Perin, Arnaud Droit

“…We then applied a machine learning ensemble to this new dataset to assess the repurposing potential of the remaining 11,043 drugs in the DrugBank database. …”
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Modified Mosquito Programs’ Surveillance Needs and An Image-Based Identification Tool to Address Them by Jewell Brey, Bala Murali Manoghar Sai Sudhakar, Kiley Gersch, Tristan Ford, Margaret Glancey, Jennifer West, Sanket Padmanabhan, Angela F. Harris, Autumn Goodwin

“…The identification algorithm, tested internally across 16 species, achieved 98.4 ± 0.6% % macro F1-score on a dataset of known species, unknown species used in training, and species reserved for testing (species, specimens respectively: 12, 1302; 12, 603; 7, 222). …”
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Infrared dim tiny-sized target detection based on feature fusion by Peng Zhang, Yaman Jing, Guodong Liu, Ziyang Chen, Xiaoyan Wu, Osami Sasaki, Jixiong Pu

“…The comparison of the proposed network with other algorithms are performed on open-source dataset and experimentally generated infrared images. …”
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Assessment of sleep problems in patients with Kawasaki disease: a survey-based study by Samar Tharwat, Mohammed Kamal Nassar

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Diverse pathways to decarbonization: cluster-specific impacts of energy sources on CO2 emissions in the European Union by Jana Chovancová, Igor Petruška, Ugur Korkut Pata, Peter Adamišin

“…This study examines the relationship between different energy sources and CO2 emissions across European Union (EU) countries through a regression clustering panel data analysis. Using a dataset from 2011 to 2022, we identify distinct country clusters and analyse the impact of energy sources, including gas, coal, oil, wind, biofuels, solar, hydro and nuclear, on CO2 emissions within these clusters. …”
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Pathogenetic Substantiation of the Therapeutic Impact on Microbiota in Irritable Bowel Syndrome by Yu. O. Shulpekova, G. H. Babaeva, V. Yu. Rusyaev

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Deep Learning-Based Speech Emotion Recognition Using Multi-Level Fusion of Concurrent Features by Samuel, Kakuba, Alwin, Poulose, Dong, Seog Han, Senior Member, Ieee

“…Acoustic and lexical features were extracted from the interactive emotional dyadic motion capture (IEMOCAP) dataset. The proposed model achieves 75.50% and 75.82% of weighted and unweighted accuracy, 75.32% and 75.57% of recall and F1 score respectively. …”
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The clinical value of computed tomography Hounsfield unit for diagnosing palpable inguinal lymph node metastasis in patients with penile cancer by Yu Li, Yu Chen, Gansheng Xie, Gang Li, Huming Yin

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SHASI-ML: a machine learning-based approach for immunogenicity prediction in Salmonella vaccine development by Ottavia Spiga, Ottavia Spiga, Ottavia Spiga, Anna Visibelli, Francesco Pettini, Bianca Roncaglia, Annalisa Santucci, Annalisa Santucci, Annalisa Santucci

“…The model was trained and validated using a curated dataset of experimentally verified immunogenic and non-immunogenic proteins. …”
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Outcomes of combined liver-lung transplant in pediatric patients with cystic fibrosis: An ISHLT transplant registry study by Renita Wilson, BS, J. Asher Jenkins, MD, Juan Maria Farina, MD, Blake Langlais, MS, Bashar Aqel, MD, Ashraf Omar, MD, Jonathan D’Cunha, MD PhD, Pedro Reck dos Santos, MD PhD

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The use of radar-optical remote sensing data and geographic information system–analytical hierarchy process–multicriteria decision analysis techniques for revealing groundwater rec... by Wang Yuxia, Han Yanzhong, Guo Yujiao, Wang Jingwei, Wang Nana, Abdelkareem Mohamed

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Hospital frailty risk score predicts graft failure severe infection and mortality in hospitalized kidney transplant recipients from 2010 to 2018 US data by Lumin Chen, Feifan Chu, Hangbin Ma, Zujie Chen, Yuning Ma, Qiwei Ji, Hao Zhou

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Designing and evaluating alternative livelihoods for shark conservation: a case study on thresher sharks in Alor Island, Indonesia by Rafid A. Shidqi, Dewi R. Sari, Jeheskiel Alopen, Yodhikson M. Bang, Igo Arianto, Primiaty N. S. Kopong, Vivekananda Gitandjali TD, Etoile Smulders, Hollie Booth

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How does the rise in contraceptive usage predict pregnancy termination among young women in Kenya? an in-depth multilevel analysis by Stephen Okechukwu Chukwudeh, Obasanjo Afolabi Bolarinwa, Oluwatobi Abel Alawode, David Olawade, Sinegugu Shongwe, Ritika Tiwari

“…Methods A total of 12,166 women aged 15–24 years old from Kenya were drawn using a secondary dataset from the most recent Kenya Demographic Health Surveys conducted in the year 2022. …”
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Network pharmacology and molecular analysis of mechanisms underlying the therapeutic effects of Rhubarb in treating atherosclerosis and abdominal aortic aneurysm by Huilin Xu, Jun Huang, Youjie Zeng, Xia Wang, Huilin Lian, Siyi Zhang, Ren Guo

“…Disease-related targets were retrieved from the GEO dataset and Disgenet database. Gene interactions were utilized to identify common targets of Rhubarb with AS/AAA, and interaction networks were constructed using Cytoscape 3.9.1. …”
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Algoritma Simulated Annealing untuk Menentukan Rute Kendaraan Heterogen (Studi Kasus) by Andriansyah Andriansyah, Rizky Novatama, Prima Denny Sentia

“…On average, solutions produced by simulated annealing algorithm from dataset have same quality with analitycal method, but with faster computation. …”
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Atypical early neural responses to native and non-native language in infants at high likelihood for developing autism by Lauren Wagner, Megan Banchik, Tawny Tsang, Nana J. Okada, Rebecca Altshuler, Nicole McDonald, Susan Y. Bookheimer, Shafali S. Jeste, Shulamite Green, Mirella Dapretto

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Reasons for decline and measures to promote Nili Ravi buffalo in its breeding tract by M. Gururaj, Krishan Ahuja, F..C. Tuteja, N. Saxena

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Trends and determinants of obesity among ever-married women aged 15–49 in India: insights from National Family Health Surveys (NFHS 1998–2021) by Aditya Singh, Sadanand Karun, Mahashweta Chakrabarty, Rakesh Chandra, Shivani Singh

“…Methods Data from four National Family Health Survey (NFHS) rounds, spanning 1998-99 to 2019-21, were pooled to create a dataset of 1,117,433 participants. We analysed obesity trends in India and its states and assessed β- and σ-convergence in obesity rates during this period. …”
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