Under-nutrition and its associated factors among adult second-line antiretroviral treatment users in Northern Ethiopia by Seteamlak Adane Masresha, Atitegeb Abera Kidie, Getahun Fentaw Mulaw, Fentaw Wassie Feleke, Mesfin Wudu Kassaw, Tadesse Mamo Dejene, Aychew Kassie Gidafie, Fassikaw Kebede Bizuneh

“…Multiple imputation method was applied to manage variables having up to 25% missing values by using R-Version 3.6.2 software. …”
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TRANS: a prediction model for EGFR mutation status in NSCLC based on radiomics and clinical features by Zhigang Chen, Huiying Lu, Ao Liu, Jia Weng, Lei Gan, Lina Zhou, Xiao Ding, Shicheng Li

“…The combination of clinical variables and radiomics signature resulted in an increased AUC of 0.84 (± 0.01). …”
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Development of a nomogram based on body composition and tumor burden indicators to predict lymph node metastasis in patients with T1 esophageal squamous cell carcinoma by Qingwen Liu, Junxi Hu, Lin Liu, Wenbo He, Jiaqi Hou, Yusheng Shu, Xiaolin Wang

“…The nomogram constructed based on these four variables demonstrated strong predictive performance, with AUCs of 0.8331 in the training set and 0.8343 in the validation set, both surpassing the predictive capacity of individual indicators. …”
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Thermal analysis in unsteady oscillatory Darcy blood flow through stenosed artery by G. Shankar, E.P. Siva, D. Tripathi, O. Anwar Beg

“…This study aims to provide an extensive overview of the consequences of heat source and thermal radiation on blood flow in stenosed arteries through Casson fluid. …”
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Prediction for Perioperative Stroke Using Intraoperative Parameters by Mi‐Young Oh, Young Mi Jung, Won‐Pyo Kim, Hyung‐Chul Lee, Tae Kyong Kim, Sang‐Bae Ko, Jaehyun Lim, Seung Mi Lee

“…However, most existing models primarily base their predictions on the patient's baseline characteristics before surgery. We aimed to develop a machine‐learning model incorporating both pre‐ and intraoperative variables to predict perioperative stroke. …”
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Seashore paspalum in the Mediterranean transition zone: phenotypic traits of twelve accessions during and after establishment by Monica Gaetani, Marco Volterrani, Simone Magni, Lisa Caturegli, Alberto Minelli, Claudio Leto, Salvatore La Bella, Teresa Tuttolomondo, Giuseppe Virga, Nicola Grossi

“…Furthermore, considering the high degree of variability of this species, ecotypes have the potential to supply new plant material with desired turf characteristics. …”
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Advanced machine learning framework for thyroid cancer epidemiology in Iran through integration of environmental socioeconomic and health system predictors by Mohsen Soleimani, Hossein Chiti

“…Leveraging data from the Iranian National Population-based Cancer Registry (INPCR) spanning 2014–2017, we synthesized a comprehensive dataset comprising 55 variables sourced from diverse public repositories. …”
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Diagnostic patterns of haemoglobinopathies: A prospective observational study using high-performance liquid chromatography in a remote tertiary care center of Telangana. by Dr. Sumayya, Dr . Charitha Sravanthi Battu, Dr . K Raja Kumar

“…High-performance liquid chromatography is a sensitive and reliable tool for identifying hemoglobin variants. This study aimed to analyze the diagnostic patterns of haemoglobinopathies using HPLC in a tertiary care center serving the tribal population of Telangana. …”
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P-118 METABOLIC DYSFUNCTION-ASSOCIATED STEATOTIC LIVER DISEASE: INDICATION FOR LIVER TRANSPLANTATION AND OCCURRENCE IN THE POSTOPERATIVE PERIOD by Felipe Ramos Caprini, Guilherme Massote Fontanini, Juarez Roberto de Oliveira Vasconcelos, Fernanda Fernandes Souza, Ajith Kumar Sankarankutty, Marcia Guimarães Villanova, Roberta Chaves Araújo

“…Obesity and hypertension were the variables associated with a greater risk of allograft steatosis. …”
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Characteristics of Resection Parameters in Robot‐Assisted Total Knee Arthroplasty With the Ligament Balancing Workflow by Qing‐Da Wei, Hao‐Ming An, Wang Gu, Wei Sun, Rui Li, Wei Chai

“…Understanding these parameters may help surgeons better perform robotic‐assisted TKA. This study aims to analyze the specific resection parameters of robotic‐assisted TKA. …”
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Influence of image reconstruction protocols on the image quality of a small animal PET scanner using 18F and 11C by João Vitor do Carmo Barbosa, Rodrigo Modesto Gadelha Gontijo, Guilherme Cavalcante de Albuquerque Souza, Bruno Melo Mendes, Juliana Batista da Silva, Marcelo Mamede, Andréa Vidal Ferreira

“…MLEM-3D and OSEM-3D based protocols generates similar results when number of iterations and resolution mode were identical. SOR and RC mean values remained stable when the number of iterations ranged from 40 to 150. …”
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When politics meets policy: a realist review of how political context shapes the impact of public health legal interventions by Yuri Lee, Jiwon Park

“…Political and social contexts are increasingly recognized as key determinants of such variability.ObjectiveThis study aimed to examine how and why public health legal interventions succeed or fail under different political circumstances, drawing on a Realist Review approach. …”
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Association of the time interval between first and last birth with obesity in middle-aged postmenopausal Chinese women: a cross-sectional study in southern China by Zhenzhen Su, Yanfang Luo, Fen Ye, Jiahui Xu, Hui Lu, Lingyun Zhu

“…Multivariate linear and logistic regression models were employed to analyze the associations between the time interval from the first to the last birth and obesity.ResultsThe values of all four obesity measures increased with a longer time interval between the first and last births (P for trend <0.001). …”
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The relationship between preoperative inflammatory indexes and adherent perinephric fat in laparoscopic partial nephrectomy by Çil Gökhan, Yilmaz Mehmet, Yentur Serhat, Çolakerol Aykut, Canıtez İbrahim Ogulcan

“…Background/Aim: Partial nephrectomy (PN) is favoured for cT1a renal tumours. …”
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Prevalence of Stroke and Associated Factors in a Middle-aged and Older Chinese Population: A Cross-sectional Study by Juan Guo, Qingmin Guo, Yuzhen Chen, Jinmei Zou, Hanjia Gao

“…Independent samples t-test and χ2 test were used to examine differences in associated factors between the stroke and non-stroke groups. Variables with P-values ≤0.1 in all univariate comparisons were included in the final binary logistic regression model to identify the independent factors associated with stroke. …”
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Cardiac Biomarkers Predict Major Adverse Cardiac Events (MACE) in Incident Haemodialysis Patients: Results from a Global Federated Database by Elin Mitford Davies, Benjamin J. R. Buckley, Philip Austin, Gregory Y. H. Lip, Anirudh Rao, Garry McDowell

“…The results suggest the clinical need for CV mortality and morbidity risk profiling in incident HD using a combination of clinical and laboratory variables.…”
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Dyspnea after a first episode of pulmonary embolism: prevalence, predictors and long-term associations with health-related quality of life by Inge Kirchberger, Simone Fischer, Thomas M. Berghaus, Thomas M. Berghaus, Jakob Linseisen, Jakob Linseisen, Christine Meisinger

“…Linear mixed models were used to determine the variables associated with dyspnea.ResultsOut of 503 patients (55% male, mean age 62.8 ± 14.6 years), 45%–64% of the participants had dyspnea at any time point. …”
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Serum Cardiac Troponin I Levels in Neonates with Perinatal Asphyxia; A Cross-Sectional Study by Asghar Marzban, Nahid Jafari, Mahnaz Zareakbari

“…A checklist was created that included the demographic data of the infants, Apgar scores at 1, 5, and 10 min, arterial blood gas (ABG) values, and cTnI levels at 72 h postpartum. Quantitative and qualitative variables were compared between the two groups using the independent t-test/Mann-Whitney U test and chi-square/Fisher’s exact tests.Results: Fifty-eight infants (69%) were male and 26 (31%) were female. …”
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Effect of Rhythmic Auditory Stimulation and Nordic Walking on Arm Swing and Spatiotemporal Gait Parameters in Parkinson’s Patients: A Quasi-experimental Study by Nivruti Khanna, Kalidasan Varathan

“…Results: After analysing the data using an Independent t-test, the results for Kinovea post forward swing and Kinovea post backward swing for both the right and left sides revealed a substantial difference between the two groups. Additional variables such as Timed Up and Go (TUG), cadence, stride length and FGA indicated significant differences between groups, with p-values of 0.01, 0.03, 0.009 and 0.02, respectively. …”
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Selection of differentiated maturity genotypes of Coffea canephora by João Felipe de Brites Senra, Viviane Alexia Correia Silva, Marlon Dutra Degli Esposti, Adésio Ferreira, Idalina Sturião Milheiros, Isabela Bolari Ramos, Rosana Gomes de Oliveira, Lorran Marques Benevenute

“… The aim of this study was to select Coffea canephora genotypes from the seminal propagation variety ‘ES8152’ with different harvest times. …”
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