Evaluation of Bayesian network scoring functions in polychotomous data analysis by Xuejia Ke, Katherine Keenan, V. Anne Smith

“…Among these, the BDe scoring function requires specifying hyperparameters that influence the priors on the network parameters. …”
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Improving the core functions of primary care in a Ugandan rural district by Innocent K. Besigye, Robert J. Mash

“…Community dialogues as form of community engagement were selected as an intervention to improve the core primary care functions. Conclusion: The PCAT can generate findings to guide the development of interventions at the facility and district level to potentially improve the core functions of primary care. …”
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465 Genomic return of research service core with the precision health function of ICTS by Jenny McKenzie, Sarah Hartz, Chris Gurnett, Dustin Baldridge, Kevin Bowling, Jorge Luis Granadillo De, Jessica Mozersky, Laura Bierut, Patricia Dickson

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Generation of induced alveolar assembloids with functional alveolar-like macrophages by Ji Su Kang, Youngsun Lee, Youngsun Lee, Dayeon Gil, Min Jung Kim, Connor Wood, Vincent Delorme, Jeong Mi Lee, Kyong-Cheol Ko, Jung-Hyun Kim, Mi-Ok Lee

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High survivorship and excellent functional outcome in third‐generation patellofemoral arthroplasty by Mustafa Hariri, Hannah Schwab, Kevin‐Arno Koch, Paul Mick, Timo Nees, Johannes Weishorn, Tilman Walker, Tobias Reiner

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Association between oxidative balance score and lung function and FeNO and mortality in the US population by Chang Liu, Dan Liang, Guoan Xiang, Kun Xiao, Lixin Xie

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Group Forward–Backward Orthogonal Matching Pursuit for General Convex Smooth Functions by Zhongxing Peng, Gengzhong Zheng, Wei Huang

“…This paper introduces the Group Forward–Backward Orthogonal Matching Pursuit (Group-FoBa-OMP) algorithm, a novel approach for sparse feature selection. The core innovations of this algorithm include (1) an integrated backward elimination process to correct earlier misidentified groups; (2) a versatile convex smooth model that generalizes previous research; (3) the strategic use of gradient information to expedite the group selection phase; and (4) a theoretical validation of its performance in terms of support set recovery, variable estimation accuracy, and objective function optimization. …”
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Prospective analysis of quantitative EEG indices for predicting functional outcomes in acute ischemic stroke by Yuan Zhang, Hongshan Chu, Qi Qiao, Shibo Dong, Jing Liu, Hebo Wang

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Core-Sheath Structured Yarn for Biomechanical Sensing in Health Monitoring by Wenjing Fan, Cheng Li, Bingping Yu, Te Liang, Junrui Li, Dapeng Wei, Keyu Meng

“…The rapidly evolving field of functional yarns has garnered substantial research attention due to their exceptional potential in enabling next-generation electronic textiles for wearable health monitoring, human–machine interfaces, and soft robotics. …”
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Enhancing polygenic scores for cardiometabolic traits through tissue- and cell-type-specific functional annotations by Kristjan Norland, Daniel J. Schaid, Iftikhar J. Kullo

“…Summary: Functional genomic annotations can improve polygenic scores (PGS) within and between genetic ancestry groups. …”
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Functional Outcome of Acetabular Fracture Using Majeed Score: A Single-center Retrospective Study by Bintang Soetjahjo, Denny Adriansyah, Ricat Hinaywan Malik, Michael Del Rosario Munoz

“…The published data on acetabular fracture in Indonesia are very limited and there is no study to assess the functional outcome of acetabular fracture using the Majeed score. …”
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SliceScore: A Network Function Sharing Aware and Slice-Oriented DDoS Filtering Approach by Omer Zekvan Yilmaz, Kubra Kalkan, Fatih Alagoz

“…Deploying vertical use cases on shared resources is the main motivation for network slicing. Recently, network function (NF) sharing has been proposed in the literature in order to further exploit unused resources and lower the costs for network operators. …”
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Investigating Different Theory-Based Differential Item Functioning Methods Under Different Scoring Situations by Hüseyin SELVİ, Devrim OZDEMİR ALICI

“…<p>This study intended to investigate the operations of various theory-based Differential Item Functioning (DIF) methods under different scoring situations. …”
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Clinical functioning information tool – coronavirus disease 2019 (ClinFIT COVID-19): psychometric evaluation and development of an interval-scaled functioning score across the care... by Masahiko Mukaino, Catarina Aguiar Branco, Alia Alghwiri, Sonia Amato, Antonios Kontaxakis, Mihai Berteanu, Hüma Bölük Şenlikci, Pinar Borman, Salmane Diouane, Maryam Fourtassi, Francesca Gimigliano, Abderrazak Hajjioui, Xiaolei Hu, Sinforian Kambou, Cho-I Lin, Mohamed I. Mabrouk, Evanthia Mitsiokapa, Remus Iulian Nica, Christina-Anastasia Rapidi, Gabriella Serlenga, Arianna Silvestri, Sinikka Tarvonen-Schröder, Clara Ursescu, Arja Viinanen, Panagiotis Vorniotakis, Melissa Selb

“…Methods: Three context-specific versions (13–16 ICF categories) of ClinFIT-COVID-19 were administered to collect information on patient functioning. Rasch analysis examined psychometric properties and generated conversion tables from ordinal raw scores to a 0–100 interval metric. …”
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Development of a Core Outcomes Set for Peripheral Nerve Injury by Christopher J. Dy, MD, MPH, Alison L. Antes, PhD, Heather L. Baltzer, MD, Harvey Chim, MD, Jana Dengler, MD, Lisa Gfrerer, MD, Scott H. Kozin, MD, Yusha Katie Liu, MD, Christine B. Novak, DPT, Hollie A. Power, MD, Nicholas Pulos, MD, Jeffrey G. Stepan, MD MSc, Christopher J. Dy, MD, MPH (Principal Investigator), Heather Baltzer, MD, David M. Brogan, MD, MSc, Harvey Chim, MD, Jana Dengler, MD, Kyle R. Eberlin, MD, Paige M. Fox, MD, PhD, Lisa Gfrerer, MD, Scott H. Kozin, MD, Steve K. Lee, MD, Fraser Leversedge, MD, Amy M. Moore, MD, Christine B. Novak, PhD, Scott Tintle, MD, Sami Tuffaha, MD, Nicholas Pulos, MD, Jeffrey G. Stepan, MD, Y. Katie Liu, MD, Alexander Y. Shin, MD

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Impacts of efficiency on food security status of smallholders in the Gurage Zone of Ethiopia by Gizachew Argaw, Degye Goshu, Mengistu Ketema, Abule Mehare

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On Generalized Overlap and Grouping Indices in n-Dimensional Contexts by Tiago Asmus, Graçaliz Dimuro, Giancarlo Lucca, Cedric Marco-Detchart, Helida Santos, Heloisa Camargo, Humberto Bustince

“…Many studies have generalized the concepts of overlap and grouping functions to be applied in n-dimensional problems. …”
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Relationship between functional movement screening (FMS) scores and balance and strength performance in young male athletes by Şükran İribalcı, Mert Aydoğmuş, Serkan Revan, Harun Genç

“…Also according to regression analysis that the predictive power of independent variables on FMS scores is quite low. In general, it is seen that the autocorrelation between the dependent variable and predictor variables is at an acceptable level (1.768 < Durbin-Watson < 2.196). …”
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The relationship of functional movement screen scores with flexibility, speed and agility in 17-15- year- old male students by Mohammad sadegh Armanfar, Reza Rajabi, Shahnaz Shahrbanian, Mohammad Hosein Alizadeh

“…In addition, in the 17- year- old students, there were significant relation between scoring screen for functional movement and flexibility of left leg, flexibility of the right leg and height jumping.Conclusion: In general, there were significant relation between FMS scores and flexibility and power in three groups of students. …”
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Narrowing the gap between machine learning scoring functions and free energy perturbation using augmented data by Ísak Valsson, Matthew T. Warren, Charlotte M. Deane, Aniket Magarkar, Garrett M. Morris, Philip C. Biggin

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