The Analysis of the Possibility to Conduct Orbital Manoeuvres of Nanosatellites in the Context of the Maximisation of a Specific Operational Task by Magdalena Lewinska, Michal Kedzierski

“…It is suggested that future research should develop towards more advanced optimisation techniques, such as artificial intelligence algorithms that may additionally improve the precision and efficiency of planning orbital trajectories.…”
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In silico methods for immunogenicity risk assessment and human homology screening for therapeutic antibodies by Aimee E. Mattei, Andres H. Gutierrez, Soorya Seshadri, Jacob Tivin, Matt Ardito, Amy S. Rosenberg, William D. Martin, Anne S. De Groot

“…Even if the source of a given biologic is ‘fully human’, T cell epitopes that are contained in the sequences of the biologic may activate the immune system, enabling the development of anti-drug antibodies that can reduce drug efficacy and may contribute to adverse events. …”
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Enhancing river and lake wastewater reuse recommendation in industrial and agricultural using AquaMeld techniques by J. Priskilla Angel Rani, C. Yesubai Rubavathi

“…This technique does not assume data follows a distribution, which may reduce the model’s predictive effectiveness. …”
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Identifying Galactic Substructures in 5D Space Using All-sky RR Lyrae Stars in Gaia DR3 by Shenglan Sun, Fei Wang, Huawei Zhang, Xiang-Xiang Xue, Yang Huang, Ruizhi Zhang, Hans-Walter Rix, Xinyi Li, Gaochao Liu, Lan Zhang, Chengqun Yang, Shuo Zhang

“…Assuming a Gaussian prior distribution of radial velocity, we calculate the orbital distribution characterized by the integrals of motion for each RRL, based on its 3D positions, proper motions, and corresponding errors, and then apply the friends-of-friends algorithm to identify groups moving along similar orbits. …”
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Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study. by Zhi Nie, Srinivasan Vairavan, Vaibhav A Narayan, Jieping Ye, Qingqin S Li

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Transcriptome analysis of early pregnancy vitamin D status and spontaneous preterm birth. by Aishwarya P Yadama, Hooman Mirzakhani, Thomas F McElrath, Augusto A Litonjua, Scott T Weiss

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Complete blood count reference intervals from a healthy adult urban population in Kenya. by Geoffrey Omuse, Daniel Maina, Jane Mwangi, Caroline Wambua, Kiran Radia, Alice Kanyua, Elizabeth Kagotho, Mariza Hoffman, Peter Ojwang, Zul Premji, Kiyoshi Ichihara, Rajiv Erasmus

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A highly scalable deep learning language model for common risks prediction among psychiatric inpatients by Enzhao Zhu, Jiayi Wang, Guoquan Zhou, Chunbo Li, Fazhan Chen, Kang Ju, Liangliang Chen, Yichao Yin, Yi Chen, Yanping Zhang, Xu Zhang, Xinlin Zhou, Zongyuan Wang, Jianping Qiu, Hui Wang, Weizhong Shi, Feng Wang, Dong Wang, Zhihao Chen, Jiaojiao Hou, Hui Li, Zisheng Ai

“…FMR is a strong predictor for common risks prediction and may benefit other tasks in psychiatry with minimum requirements for data and data processing.…”
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Effect of a health education program on reduction of pediculosis in school girls at Amphoe Muang, Khon Kaen Province, Thailand. by Manachai Yingklang, Chatchawan Sengthong, Ornuma Haonon, Rungtiwa Dangtakot, Porntip Pinlaor, Chulaporn Sota, Somchai Pinlaor

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Circulating biomarkers associated with pediatric sickle cell disease by Cecilia Elorm Lekpor, Cecilia Elorm Lekpor, Cecilia Elorm Lekpor, Felix Abekah Botchway, Adel Driss, Alaijah Bashi, Afua D. Abrahams, Kwadwo Asamoah Kusi, Godfred Futagbi, Ernest Alema-Mensah, William Agbozo, Wesley Solomon, Adriana Harbuzariu, Andrew A. Adjei, Jonathan K. Stiles

“…With such a tool one can enhance SCD management and improve patient outcomes. This approach may pave the way for personalized interventions and better clinical care for pediatric SCD patients.…”
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Assistance of Artificial Intelligence in Diagnosis of Vitreoretinal Lymphoma on Optical Coherence Tomography by Aidi Lin, Yuanyuan Peng, Tian Lin, Jun Dai, Jizhu Li, Tingkun Shi, Xixuan Ke, Xulong Liao, Danqi Fang, Man Chen, Huiyu Liang, Shirong Chen, Honghe Xia, Jingtao Wang, Zehua Jiang, Tao Li, Dan Liang, Shanshan Yu, Jing Luo, Ling Gao, Dawei Sun, Yih Chung Tham, Xinjian Chen, Haoyu Chen

“…The superiority of the model is shown with a higher F1 score (0.9310) compared with other state‐of‐the‐art algorithms (0.5487–0.9018) and three doctors whose clinical experiences range between 3 to 10 years without the help of the CS‐MTL (0.7773–0.8949). …”
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Assessment of associations between clinical and immune microenvironmental factors and tumor mutation burden in resected nonsmall cell lung cancer by applying machine learning to wh... by Akira Ono, Yukihiro Terada, Takuya Kawata, Masakuni Serizawa, Mitsuhiro Isaka, Takanori Kawabata, Toru Imai, Keita Mori, Koji Muramatsu, Isamu Hayashi, Hirotsugu Kenmotsu, Keiichi Ohshima, Kenichi Urakami, Takeshi Nagashima, Masatoshi Kusuhara, Yasuto Akiyama, Takashi Sugino, Yasuhisa Ohde, Ken Yamaguchi, Toshiaki Takahashi

“…Conclusions The IME factors assessed were not associated with TMB, but our findings showed that, in addition to smoking, PET SUV and sCEA levels may be independent predictors of TMB. TMB and IME factors are independent factors in resected NSCLC.…”
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Pancreatic stump closure techniques and pancreatic fistula formation after distal pancreatectomy: Meta-analysis and single-center experience. by Elke Tieftrunk, Ihsan Ekin Demir, Stephan Schorn, Mine Sargut, Florian Scheufele, Lenika Calavrezos, Rebekka Schirren, Helmut Friess, Güralp O Ceyhan

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An open-label, multiple ascending dose study of the anti-CTLA-4 antibody ipilimumab in viremic HIV patients. by Elizabeth Colston, Dennis Grasela, David Gardiner, R Pat Bucy, Blisse Vakkalagadda, Alan J Korman, Israel Lowy

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Meta-analyses of IL1A polymorphisms and the risk of several autoimmune diseases published in databases. by Hang Su, Na Rei, Lei Zhang, Jiaxiang Cheng

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Evaluating treatments with topical anaesthetic and buccal meloxicam for pain and inflammation caused by amputation dehorning of calves. by Dominique Van der Saag, Sabrina Lomax, Peter Andrew Windsor, Casey Taylor, Peter John White

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Fatness, fitness and the aging brain: A cross sectional study of the associations between a physiological estimate of brain age and physical fitness, activity, sleep, and body comp... by David Wing, Lisa T. Eyler, Eric J. Lenze, Julie Loebach Wetherell, Jeanne F. Nichols, Romain Meeusen, Job G. Godino, Joshua S. Shimony, Abraham Z. Snyder, Tomoyuki Nishino, Ginger E. Nicol, Guy Nagels, Bart Roelands

“…Understanding the mechanisms and/or behaviors underlying this heterogeneity may allow us to act to target and slow negative changes associated with aging. …”
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Diagnostic Accuracy of <i>Mycobacterium tuberculosis</i> Antigen-Based Skin Tests (TBSTs) for Tuberculosis Infection Compared with TST and IGRA: A Network Meta-Analysis by Li Peng, Weijie Ma, Lei Zhong, Jiaru Yang, Hanxin Wu, Liangyu Zhu, Xun Huang, Rui Yang, Bingxue Li, Weijiang Ma, Xinya Wu, Jieqin Song, Suyi Luo, Fukai Bao, Aihua Liu

“…Data were synthesized with frequentist random-effects network meta-analyses, a single-group rate meta-analysis algorithm, and a bivariate mixed-effects logistic regression model. …”
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Extracellular mRNA detected by molecular beacons in tethered lipoplex nanoparticles for diagnosis of human hepatocellular carcinoma. by Xinmei Wang, Kwang Joo Kwak, Zhaogang Yang, Aili Zhang, Xiaoli Zhang, Rachael Sullivan, Dan Lin, Robert L Lee, Carlos Castro, Kalpana Ghoshal, Carl Schmidt, L James Lee

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Socioeconomic differentials in hypertension based on JNC7 and ACC/AHA 2017 guidelines mediated by body mass index: Evidence from Nepal demographic and health survey. by Juwel Rana, Zobayer Ahmmad, Kanchan Kumar Sen, Sanjeev Bista, Rakibul M Islam

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