Comprehensive Stiffness Modeling and Evaluation of an Orthopedic Surgical Robot for Enhanced Cutting Operation Performance by Heqiang Tian, Mengke Zhang, Jiezhong Tan, Zhuo Chen, Guangqing Chen

“…This study presents an integrated stiffness modeling and evaluation framework for an orthopedic surgical robot, aiming to enhance cutting accuracy and operational stability. …”
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Establishment and evaluation of a risk prediction model for coronary heart disease in primary Sjögren’s syndrome based on peripheral blood IL-6 and Treg percentages by Xiaoyang Wang, Lei Huang, Bin Hu, Bin Yang, Ruipeng Wei, Shuling Rong, Bao Li

“…ObjectiveThis study aims to establish and evaluate a risk prediction model for coronary heart disease (CHD) in patients with primary Sjögren’s syndrome (pSS) based on peripheral blood levels of interleukin-6 (IL-6) and the percentage of regulatory T cells (Treg%). …”
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To predict the prognosis of adolescents with anorexia nervosa leaving inpatient treatment: the development and initial evaluation of a novel tool to be used by a multi-disciplinary... by Eleanor Herrmann, Hayley Johns, Emma M. Giles, Philippa McQuilton, Sarah Astbury, Rachel V. Matthews, J. Hubert Lacey

“…The NPS is more effective at predicting long-term readmission risk than short-term outcomes. …”
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Five-year evaluation of bone health in liver transplant patients: developing a risk score for predicting bone fragility progression beyond the first year by Ejigayehu G. Abate, Amanda McKenna, Liu Yang, Colleen T. Ball, Ann E. Kearns

“…The probability of progression-free survival at two years post-LT was 96.7% for low-risk, 83.1% for medium-risk, and 59.1% for high-risk groups.ConclusionWe developed a simple, clinically applicable risk score that predicts bone disease progression beyond the first year after LT. …”
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Beyond the Inner Cell Mass: Evaluating the Impact of Inner Cell Mass Visibility on Implantation Prediction in Static Blastocyst Images – A Retrospective Cohort Study by Doel Bose Pande, Hemant Deshmukh, Sandeep Kumar Verma, Gajendra Singh Tomar

“…Clinical pregnancy, confirmed by fetal cardiac activity at 7 to 8 weeks, was used as the ground truth for measuring prediction accuracy. Materials and Methods: This retrospective study analysed 300 single vitrified warmed blastocyst transfers performed at a single IVF centre between 2021 and 2024. …”
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Improving the prediction of functional recovery in older adults with stroke in geriatric rehabilitation using an inertial measurement unit combined with the Utrecht Scale for Evalu... by Jules J.M. Kraaijkamp, Margot W.M. de Waal, Niels H. Chavannes, Wilco P. Achterberg, Eléonore F. van Dam van Isselt, Michiel Punt

“…Background: Prediction of functional recovery in older adults recovering from stroke is typically based on observational scales, such as the Utrecht Scale for Evaluation of Rehabilitation (USER). …”
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Evaluating the value of machine learning models for predicting hematoma expansion in acute spontaneous intracerebral hemorrhage based on CT imaging features of hematomas and surrou... by Tianyu Yang, Tianyu Yang, Zhen Zhao, Yan Gu, Shengkai Yang, Yonggang Zhang, Lei Li, Ting Wang, Zhongchang Miao

“…Machine learning algorithms were applied to construct predictive models for hematoma expansion. Model performance was evaluated using receiver operating characteristic (ROC) curves and the area under the curve (AUC).ResultsEight feature parameters were extracted from the CT images. …”
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Evaluation of a Machine Learning Model Based on Laboratory Parameters for the Prediction of Influenza A and B in Chongqing, China: Multicenter Model Development and Validation Stud... by Weiwei Hu, Yulong Liu, Jian Dong, Xuelian Peng, Chunyan Yang, Honglin Wang, Yong Chen, Shan Shi, Jin Li

“…Model performance was evaluated using metrics such as the area under the curve (AUC), accuracy, specificity, sensitivity, positive predictive value, negative predictive value, and F1-score across internal testing and external validation cohorts, with Shapley additive explanations analysis identifying key biomarkers. …”
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New Nitrogen-, Oxygen-, and Sulfur-Containing Heterocyclic Compounds as Anti-Colon Cancer Agents: Synthesis, Multitargeted Evaluations, Molecular Docking Simulations and ADMET Pred... by Nahed Nasser Eid El-Sayed, Najeh Krayem, Hamed Ahmed Derbala, Shimaa Kamal, Syde Nasir Abbas Bukhari, Mohamed K. El-Ashrey, Zainab M. Almarhoon, Seham Soliman Alterary, Abir Ben Bacha

“…This study aimed to develop novel multi-target compounds capable of modulating these pathways. <b>Methods:</b> A library of 24 newly synthesized compounds—incorporating annulated thiophene, thiazole, quinazolinone, 2-oxoindoline, and 1,2,3-oxadiazole scaffolds, as well as <i>N</i>-(1-(4-hydroxy-3-methoxyphenyl)-3-oxo-3-(2-(phenylcarbamothioyl)hydrazineyl) prop-1-en-2-yl)benzamide—was evaluated for antioxidant activity (DPPH assay), PDK-1 and LDHA inhibition, cytotoxic effects against LoVo and HCT-116 colon carcinoma cells, with parallel assessment of safety profiles on normal HUVECs. …”
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Posture configuration optimization method and system for folding booms of the pump truck under life extension control by Dong Qing, Su Youcheng, Xu Gening, She Lingjuan, Wang Ze

“…First, the dataset of “behavioral-performance” characteristics for the folding booms of the pump truck is obtained using a synergistic method of “acquisition-simulation-correction”. After evaluating the fatigue life, the dataset is transformed into a fatigue life sample dataset. …”
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A case study on the practicability of using linear analysis results in a Bayesian inference model to predict nonlinear responses in performance-based design methods by Shima Taheri, Reza Karami Mohammadi

“…Compared to traditional methods based on mean response evaluation of seismic parameters with significant confidence margin, the growing use of the new generation of performance-based design methods, which are based on loss and financial assessment, necessitates an increase in accuracy and reliability in probabilistic evaluation of structural response for all values of seismic parameters. …”
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Development of an interpretable machine learning model for frailty risk prediction in older adult care institutions: a mixed-methods, cross-sectional study in China by Weizi Wu, Li Jing, Qing Peng, Peng Hua, Zeng Shumei, Luofang Lv, Liqing Yue, Hu Jian zhong, Huang Weihong

“…A total of 586 older adults were included in the assessment data collection stage, and 15 participants (10 healthcare professionals and five data scientists) were involved in the model evaluation stage.Methods A collaborative requirements analysis involving healthcare professionals and data scientists guided the design of an interpretable frailty risk prediction model. …”
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Comparative evaluation of three anti-dsDNA antibody detection methods in systemic lupus erythematosus: insights from a large monocentric cohort by Ruijing Lu, Ruijing Lu, Rui Yu, Rui Yu, Rong Huang, Rong Huang, Chiyuan Xue, Ning Song, Jiuliang Zhao, Xiaofeng Zeng, Chaojun Hu

“…Cohen’s kappa coefficient was used to evaluate inter-method agreement. The correlations between anti-dsDNA concentration and SLEDAI-2k scores/renal involvement were assessed.ResultsAmong individual assays, IIF demonstrated the highest specificity (98.31%) and PPV (96.10%) but lower sensitivity (38.92%) compared to CLIA (41.57%) and DLCM (43.65%) (p &lt; 0.05). …”
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Comparative Evaluation of Decision Tree (M5) and Least Square Support Vector Machine (LS-SVM) Models for Groundwater Level Prediction in the Mashhad Plain by Vajihe Ramezani saani, Mahdi Zarei, Seyed Morteza Seyedian

“…The aim of the present study is to estimate the groundwater table level of the Mashhad plain aquifer using the decision tree model (M5) and to compare it with the least squares support vector machine model (LS-SVM) under 10 different scenarios.Method: For this purpose, monthly climatic data (precipitation, evaporation, and temperature) and groundwater level information from 60 piezometric wells over a 10-year statistical period were utilized, and the employed models were evaluated using statistics such as the coefficient of determination (R2), RMSE, and MBE.Results: The results of the LS-SVM model indicated that the highest simulation accuracy belonged to scenario 4, followed by scenario 9, while the other scenarios exhibited very low accuracy in simulating the water level. …”
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Evaluation of High-Performance Pervious Concrete Mixed with Nano-Silica and Carbon Fiber by Mingxuan Sun, Meng Sun, Yunlong Zhang, Lijun Ma

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All-breed single-step genomic best linear unbiased predictor evaluations for fertility traits in US dairy cattle by J.M. Tabet, D. Lourenco, F. Bussiman, M. Bermann, I. Misztal, P.M. VanRaden, Z.G. Vitezica, A. Legarra

“…ABSTRACT: The US dairy cattle genetic evaluation is currently a multistep process, including multibreed traditional BLUP estimations followed by single-breed SNP effects estimation. …”
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A Prediction of the Shooting Trajectory for a Tuna Purse Seine Using the Double Deep Q-Network (DDQN) Algorithm by Daeyeon Cho, Jihoon Lee

“…This study proposes a method for predicting shooting trajectories using the Double Deep Q-Network (DDQN) algorithm. …”
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Exploration of biophoton characteristics of fresh Isatis indigotica fort leaves under salt and drought stresses and the feasibility analysis for the quality prediction of Isatidis... by Zhiying Wang, Zhiying Wang, Baorui Cao, Baorui Cao, Yueyue Ma, Weifan Xu, Jialei Fu, Zhongwen Zhang, Jinxin Du, Tingting Deng, Jingxiang Pang, Meina Yang, Meina Yang, Jinxiang Han, Jinxiang Han

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Optimizing space heating efficiency in sustainable building design a multi criteria decision making approach with model predictive control by Zheng Qi, Nan Zhou, Xianwei Feng, Sama Abdolhosseinzadeh

“…Pareto set analysis evaluates optimization outcomes for selected winter days and electricity price scenarios ($0.328/kWh vs. $0.493/kWh), with results demonstrating up to 17% daily heating cost savings compared to conventional methods while maintaining comparable thermal comfort levels. …”
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A comparative analysis of the different HIV testing techniques used in Zambia: data from a clinical performance study by Loveness Mukuka, Andros Theo, Precious Simushi, Mowa Zambwe, Peter J. Chipimo

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