Prevalence and correlates of metabolic syndrome in patients with initial-treatment and drug-naïve bipolar disorder: A large sample cross-sectional study. by Yilin Fang, Bingchuan Yan, Zhihua Liu, Lin Zhang

“…Patients with bipolar disorder (BD) are frequently prone to metabolic syndrome (MetS), and their co-morbidity adversely affects patient care outcomes. …”
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Soil-transmitted helminth infection, loss of education and cognitive impairment in school-aged children: A systematic review and meta-analysis. by Noel Pabalan, Eloisa Singian, Lani Tabangay, Hamdi Jarjanazi, Michael J Boivin, Amara E Ezeamama

“…Sub-group analyses were implemented by study design, risk of bias (ROB) and co-prevalence of Schistosoma species infection. …”
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The Protein Encoded by the UL3.5 Gene of the Duck Plague Virus Affects Viral Secondary Envelopment, Release, and Cell-to-Cell Spread by Huanhuan Cao, Bin Tian, Yanming Tian, Dongjie Cai, Mingshu Wang, Renyong Jia, Shun Chen, Anchun Cheng

“…This offers fundamental insights for further investigations into the function of DPV UL3.5.…”
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Research on an adaptive multimodal cognitive load classification method by Xiangxin Yu, Ruizhen Wang

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Ribosomal DNA copy number loss and sequence variation in cancer. by Baoshan Xu, Hua Li, John M Perry, Vijay Pratap Singh, Jay Unruh, Zulin Yu, Musinu Zakari, William McDowell, Linheng Li, Jennifer L Gerton

“…Counterintuitively, human cancer genomes show a loss of copies, accompanied by global copy number co-variation. The sequence can also be more variable in the cancer genome. …”
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Designing and characterizing first Iranian study evaluating serum levels of lithium in patients for population pharmacokinetics (FIRELOLIPOP): baseline and first report by Mohammad Mahdi Khakshoor, Naser Pariz, Vahid Reza Askari, Mohammad Reza Fayyazi Bordbar, Sara Honari, Matin Shirazinia, Vafa Baradaran Rahimi, Mohammad Bagher Naghibi Sistani

“…Clinical, demographic, and laboratory data were collected, including lithium serum levels, renal function parameters, and co-administered medications. …”
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Study on Bending Damage Constitutive Model and Mechanical Properties of Limestone Based on Acoustic Emission by Yuanshuai Zhang, Shuangying Zuo, Bo Yu, Shiwan Chen, Jienan Jia

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Antiretroviral drug therapy does not reduce neuroinflammation in an HIV-1 infection brain organoid model by Samuel Martinez-Meza, Thomas A. Premeaux, Stefano M. Cirigliano, Courtney M. Friday, Stephanie Michael, Sonia Mediouni, Susana T. Valente, Lishomwa C. Ndhlovu, Howard A. Fine, Robert L. Furler O’Brien, Douglas F. Nixon

“…Microglia were infected with HIV-1 prior to co-culture. Infected microglia were co-cultured with brain organoids BOs to infiltrate the BOs and establish a model for HIV-1 infection, “HIV-1 M-BO”. …”
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A Predictive Model of the Photosynthetic Rate of Chili Peppers Using Support Vector Regression and Environmental Multi-Factor Analysis by Bin Li, Bo Qiao, Qianyu Zhao, Dan Yang, Rongcheng Zhu, Zhexuan Wang, Yujie Yang

“…Light intensity, CO₂ concentration, and temperature are three primary environmental factors with high temporal variability, nonlinearity, and strong coupling, which directly influence the photosynthetic rate of plants. …”
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AI-assisted exposure-response data analysis: Quantifying heterogeneous causal effects of exposures on survival times by Louis Anthony Cox, Jr., R. Jeffrey Lewis, Saumitra V. Rege, Shubham Singh

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Role of еlectromyography in assessing prognosis for children with obstetric brachial plexus injury in practice of a specialized center by M. L. Novikov, D. S. Druzhinin, V. A. Bulanova, T. E. Torno

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The SmartNTx-study: a prospective, randomized controlled trial to investigate additional interventional telemedical management versus standard aftercare in kidney transplant recipi... by Mario Schiffer, Lars Pape, Julia K. Wolff, Julia K. Wolff, Raoul Gertges, Vanessa Visconti, Karen Reichert, Anja Pfau, Anne Dieterle, Katja Sauerstein, Andreas Kribben, Kristina Boss, Sinem Karaterzi, Felix Nensa, Philipp Winneckens, Mario Cypko, Mario Cypko, Wiebke Duettmann, Bianca Zukunft, Eva Schrezenmeier, Marcel G. Naik, Fabian Halleck, Roland Roller, Sebastian Möller, Sebastian Möller, Oliver Amft, Oliver Amft, Klemens Budde

“…Therefore, a composite endpoint of seven key outcome variables [fewer hospitalizations, shorter length of hospitalization, less development of de novo donor-specific antibody (DSA), better medication adherence, lower tacrolimus intra-patient variability, better blood pressure control, and better renal function after kidney transplantation]was defined. …”
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Abstract 207: Clinical Outcomes After Endovascular Thrombectomy in Large Vessel Occlusion: A Philippine Single Center Experience by Kimberly C. Geronimo

“…Methods In this single center retrospective study, subjects included were all patients who underwent EVT during the period of September 2018 to April 2023. The following variables were collected from medical charts: demographic data (age and sex), admitting MRS, NIHSS score upon admission and discharge, underlying co‐morbidities (hypertension, diabetes, history of previous stroke), use of anti‐thrombotics/anti‐coagulants as maintenance medications, CT (ASPECTS) or MR ASPECTS, history of rTPA administration prior to EVT, technique, ictus to groin time, post‐EVT recanalization score (TICI), site of occlusion, discharge MRS, and 90‐day MRS. …”
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GATA6 regulates WNT and BMP programs to pattern precardiac mesoderm during the earliest stages of human cardiogenesis by Joseph A Bisson, Miriam Gordillo, Ritu Kumar, Neranjan de Silva, Ellen Yang, Kelly M Banks, Zhong-Dong Shi, Kihyun Lee, Dapeng Yang, Wendy K Chung, Danwei Huangfu, Todd Evans

“…This study provides evidence of the regulatory functions for GATA6 directing human precardiac mesoderm patterning during the earliest stages of cardiogenesis to further our understanding of haploinsufficiency causing CHD and the co-occurrence of cardiac and other organ defects caused by human GATA6 mutations.…”
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Multi-Objective Optimization Design of Dual-Spindle Component Based on Coupled Thermal–Mechanical–Vibration Collaborative Analysis by Xiaoliang Lin, Yiming Xie, Xiaolei Deng, Jing Tian, Yue Han, Peng Wang

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Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learning approach for diagnostic precision by Chenglong Fan, Guanglin Yang, Cheng Li, Jiwen Cheng, Shaohua Chen, Hua Mi

“…The hub genes associated with DN and glycolysis-related clusters were identified via weighted gene co-expression network analysis (WGCNA) and machine learning algorithms. …”
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A Step Forward in Long COVID Research: Validating the Post-COVID Cognitive Impairment Scale by Somayeh Pour Mohammadi, Razieh Etesamipour, Francisco Mercado Romero, Irene Peláez

“…Long COVID, or post-acute sequelae of SARS-CoV-2 infection, includes a variety of enduring symptoms that endure beyond the acute phase of the illness, impacting multiple facets of patients’ psychological and physical health. …”
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Predictors of length of hospital stay in patients with acute COVID-19 by E. S. Pan’ko, S. V. Zhavoronok, A. M. Solovchuk, S. S. Pan’ko, S. V. Pan’ko

“…Log-regression models were used to assess the suitability of some functional spirometric variables and/or SpO2/FiO2 surrogate oxygenation index to predict the duration of inpatient treatment from the day of the examination (≤ 7 vs. …”
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Pantethine ameliorates dilated cardiomyopathy features in PPCS deficiency disorder in patients and cell line models by Fangfang Zhang, Tatjana Dorn, Barbara Gnutti, Yair Anikster, Sarah Kuebler, Rebecca Ahrens-Nicklas, Rachel Gosselin, Shamima Rahman, Ronen Durst, Enrica Zanuttigh, Miriam A. Güra, Christine M. Poch, Anna B. Meier, Karl-Ludwig Laugwitz, Hans-Joachim Schüller, Ana C. Messias, Ody C. Sibon, Dario Finazzi, Alyssa Rippert, Dong Li, Kristen Truxal, Deipanjan Nandi, Brent C. Lampert, Mildrid Yeo, Alice Gardham, Batel Nissan, Smadar Horowitz Cederboim, Alessandra Moretti, Arcangela Iuso

“…Future research should focus on optimizing pantethine supplementation and exploring additional therapies to enhance CoA levels and cardiac function in affected individuals.…”
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Screening cognitive impairment in patients with atrial fibrillation: A deep learning model based on retinal fundus photographs by Zhen Wang, MD, Mingxiao Li, MD, Peng Xia, BS, Chao Jiang, MD, Ting Shen, MD, Jiaming Ma, MD, Yu Bai, MD, Suhui Zhang, MD, Yiwei Lai, MD, Sitong Li, MS, Hui Xu, MD, Yang Xu, MD, Tong Ma, MS, Lie Ju, PhD, Liu He, PhD, Li Dong, MD, Caihua Sang, MD, Deyong Long, MD, Yuzhong Chen, PhD, Xin Du, MD, Zongyuan Ge, PhD, Jianzeng Dong, MD, Wen-Bin Wei, MD, Changsheng Ma, MD

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