Student perceptions of U.S. based school day physical activity best practices in relation to accelerometer-based sedentary behavior and activity by Ann Pulling Kuhn, Ajuni Choudhary, Amy Zemanick, Hannah Lane, Bridget Armstrong, Yan Wang, Rachel Deitch, Erin R. Hager

“…Adjusted mixed effects linear regression models were used to predict percent time in each physical activity category, with separate models for elementary and middle school. …”
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Integration of machine learning and experimental validation to identify the prognostic signature related to diverse programmed cell deaths in breast cancer by Longpeng Li, Longpeng Li, Jinfeng Zhao, Yaxin Wang, Zhibin Zhang, Wanquan Chen, Jirui Wang, Yue Cai

“…PCDRS, consisting of seven key genes, showed robust predictive ability over other signatures in different datasets. …”
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Renal Dysfunction after Living-Donor Liver Transplantation: Experience with 500 Cases by Ehab E. Abdel-Khalek, Alrefaey K. Alrefaey, Amr M. Yassen, Ahmed Monier, Hesham M. Elgouhari, Mohamed Samy Habl, Gehad Tawfik, Thuraya Elzayat, Reham Adly Zayed, Mohamed Abdel-Wahab

“…Univariate regression analysis for predicting the likelihood of chronic kidney disease at 1 year revealed that the following 4 variables were significant: operative time, P < 0.0005; intraoperative blood loss, P < 0.0005; preoperative renal impairment, P = 0.001; and graft-to-recipient weight ratio (as a negative predictor), P < 0.0005. …”
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Assessment of adequacy and determinants of HIV related knowledge among senior school students in public schools in Abakaliki Southeast Nigeria by Maria-Lauretta Chito Orji, Ngozi Appolonia Ifebunandu, Chinwe Ifeoma Joe-Akunne, Mmeremikwu Appolus Chidiebere, Stella Echefu, Justus Ndulue Eze

“…A multivariate analysis using a logistic regression model was used to determine the factors that predicted the adequacy of knowledge of HIV among students. …”
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AM1241 inhibits chondrocyte inflammation and ECM degradation through the Nrf2/HO-1 and NF-κB pathways and alleviates osteoarthritis in mice by Zhuan Zou, Songmu Pan, Changzheng Sun, Jiyong Wei, Yi Xu, Kaizhen Xiao, Jinmin Zhao, Ronghe Gu

“…The specific action modes and binding sites of AM1241 with NEMO/IκB kinases (IKKs) in the NF-κB pathway and Keap1 protein in the Nrf2 pathway were predicted via molecular docking and molecular dynamics simulation, and the NF-κB and Nrf2 pathways were detected using western blot and immunofluorescence. …”
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Long noncoding RNA Gm4419 promotes mesangial cell proliferation and extracellular matrix accumulation via the miR-455-3p/histone deacetylase 2 axis by Yang Wen, Hua Gan, Qing Zhong, Ying Gong

“…In this study, a potential diabetic nephropathy-related long noncoding-microRNA-mRNA axis, Gm4419-miR-455-3p-Hdac2, was predicted using bioinformatics methods. To verify the role of the Gm4419-miR-455-3p-Hdac2 axis in diabetic nephropathy, an in vitro high glucose-induced mesangial cell model was established. …”
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Clinical Decision Support Using Speech Signal Analysis: Systematic Scoping Review of Neurological Disorders by Upeka De Silva, Samaneh Madanian, Sharon Olsen, John Michael Templeton, Christian Poellabauer, Sandra L Schneider, Ajit Narayanan, Rahmina Rubaiat

“…Traditional machine learning and deep learning approaches were used to build predictive models, whereas statistical analysis assessed variable relationships and reliability of speech features. …”
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Antibodies Against β2-Glycoprotein I Complexed With an Oxidised Lipoprotein Relate to Intima Thickening of Carotid Arteries in Primary Antiphospholipid Syndrome by P. R. J. Ames, J. Delgado Alves, L. R. Lopez, F. Gentile, A. Margarita, L. Pizzella, J. Batuca, G. Scenna, V. Brancaccio, E. Matsuura

“…In PAPS, IgG anti-2GPI−oxLig-1 independently predicted PONa (p = 0.02) and IMT of B (p = 0.003), CC, (p = 0.03) and of IC (p = 0.04). …”
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Model Prognosis Masa Pengobatan Pasien Tuberkulosis Dengan Metode C4.5 by Rusdah Rusdah, Brian Agni Bregastantyo

“…Therefore, a system is needed to help predict the patient's treatment period by applying the Cross-Industry Standard Process for Data Mining (CRISP-DM) and using a data mining approach by implementing the C4.5 algorithm after exploring the data using several algorithms for classification with the aim of for the results of model performance accuracy for the prognosis of the treatment period of tuberculosis patients. …”
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Low body mass index as a predictor of sputum culture conversion and treatment outcomes among patients receiving treatment for multidrug-resistant tuberculosis in Lesotho by Lawrence Oyewusi, Chengbo Zeng, KJ Seung, Stephanie Mpinda, Mikanda Kunda, Carole D Mitnick, Makelele Kanu, Meseret Tamirat, Joalane Makaka, Mabatloung Mofolo, Refiloe Maime, Llang Maama, Ninza Senyo, Bamidele Oguntoyinbo, Lwayi Mayombo, Molly F Franke

“…Whether the relative importance of low BMI in predicting treatment outcomes differs by HIV status is unclear. …”
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Effective Facial Expression Recognition System Using Artificial Intelligence Technique by Imad S. Yousif, Tarik A. Rashid, Ahmed S. Shamsaldin, Sabat A. Abdulhameed, Abdulhady Abas Abdullah

“…A hybrid ANN-GA model that uses Petri Nets and production systems is proposed for the real-time video sequence analysis with high precision in predicting different dynamic facial activities of anger, surprise, disgust, joy, sadness and fear from emotion faces. …”
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Rechallenge therapy versus tyrosine kinase inhibitor (TKI) for advanced metastatic colorectal cancer: a retrospective study by Chenming Liu, Jintao Chen, Yuxing Liu

“…Cox regression analysis was performed to identify independent predictive factors. The result indicated that Eastern Cooperative Oncology Group (ECOG) score of 0–1 (hazard ratio [HR] = 0.03, 95% confidence interval [CI]: 0.01–0.17; P < 0.001) and chemotherapy rechallenge (HR = 0.43, 95% CI: 0.23–0.79; P = 0.007) were independent protective factors for overall survival (OS). …”
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Exploring the associations of gut microbiota with inflammatory and the early hematoma expansion in intracerebral hemorrhage: from change to potential therapeutic objectives by Haixiao Jiang, Wei Zeng, Fei Zhu, Xiaoli Zhang, Demao Cao, Aijun Peng, Hongsheng Wang

“…This study analyzes these changes and associations in order to predict and prevent hematoma expansion after emICH.MethodsThe study included 100 participants, with 70 individuals diagnosed with emICH (30 with hematoma expansion and 40 without hematoma expansion, referred to as the HE and NE groups) and 30 healthy controls matched in terms of age and gender (HC). …”
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Adipokines and Endothelium Dysfunction Markers in Pregnant Women with Gestational Hypertension by Elżbieta Poniedziałek–Czajkowska, Radzisław Mierzyński, Dominik Dłuski, Bożena Leszczyńska-Gorzelak

“…The significance of leptin as the predictive marker of GH development could be implied. …”
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L-shaped association of body mass index with prognosis in individuals with sepsis: a multicenter cohort study by Kunping Cui, Xiangnan Teng, Wei liu, Xiaoxiao Zhao, Shanling Xu, Lang Bai

“…Therefore, BMI can also be utilized to categorize the risk levels of patients with sepsis and effectively predict their prognosis.…”
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Understanding the educational inequalities in suicide attempts and their mediators: a Mendelian randomisation study by Jing Wang, Ye Yang, Rui Gao, Lilu Ding, Jiahao Zhu, Dan Zhou, Yingjun Li, Houpu Liu

“…We systematically evaluated 42 putative mediators within the causal pathway connecting reduced educational attainment to suicide attempts and employed two-step and multivariable MR to quantify the proportion of the mediated effect.Results In the combined analysis of iPSYCH and FinnGen, each standard deviation (SD) decrease in genetically predicted educational attainment (equating to 3.4 years of education) was associated with a 105% higher risk of suicide attempts (odds ratio (OR): 2.05; 95% confidence interval (CI): 1.81 to 2.31). …”
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Clinical characteristics, therapeutics, and treatment outcomes of adult patients with anti-melanoma differentiation-associated gene 5 dermatomyositis: A single-center experience fr... by Shivraj Padiyar, Aswin M Nair, Bijesh Yadav, Prathyusha Manikuppam, Jha Avanish, Abhilasha Arvind Manwatkar, John Mathew

“…Complete and partial responders were identified using predefined criteria. Factors predicting mortality were determined by logistic regression analysis. …”
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Digital Self-Management Intervention Paths for Early Breast Cancer Patients: Results of a Pilot Study by Paula Poikonen-Saksela, Evangelos Karademas, Leena Vehmanen, Meri Utriainen, Haridimos Kondylakis, Konstadina Kourou, Georgios C. Manikis, Eleni Kolokotroni, Panagiotis Argyropaidas, Berta Sousa, Ruth Pat Horenczyk, Ketti Mazzocco, Johanna Mattson

“…Based on these answers and predictive algorithms for anxiety and depression, they were guided onto one or several digital intervention paths. …”
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Risk Stratification and Adjuvant Chemotherapy for High‐Risk Stage IA Lung Adenocarcinoma: The Unmet Needs by Chen Shen, Haoran Liu, Bofei Li, Jiaming Wang, Yiyang Wang, Feichao Bao, Zhitao Gu, Wentao Fang

“…A nomogram was developed using Cox proportional hazards regression to predict recurrence‐free survival (RFS). In the high‐risk group after stratification, RFS was compared between patients receiving ACT and those under observation, as well as between patients with and without driver gene alterations. …”
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Characterization of polyethylene and polyurethane microplastics and their adsorption behavior on Cu2+ and Fe3+ in environmental matrices by Ilaria Zanoni, Lucia Briccolani, Lara Faccani, Magda Blosi, Simona Ortelli, Matteo Crosera, Giovanna Marussi, Stefania Albonetti, Anna Luisa Costa

“…Abstract As the world faces growing environmental challenges, understanding the nature of microplastics—such as Low-Density Polyethylene (LDPE) and Polyurethane (PU)—and their transformation in water-based environments is necessary for predicting and mitigating their effects. In this study, we investigated their physicochemical characteristics, presence of impurities, colloidal behavior, and sorption capacity to understand better how microplastics behave and transform in the environment, including their role in transporting heavy metals. …”
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