Deep learning for gender estimation using hand radiographs: a comparative evaluation of CNN models by Hilal Er Ulubaba, İpek Atik, Rukiye Çiftçi, Özgür Eken, Monira I. Aldhahi

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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 Novel Method for Aging Life Evaluation of O-Rings Based on the Sealing Performance Degradation Model and the Artificial Neural Network Model by Xiaojia Wang, Yu Huang, Jianning Zhang, Zihui Wang, Weiping Hu, Chao Song

“…Furthermore, an aging life evaluation method for O-rings based on the ANN model is proposed to predict the aging life of O-rings under different temperatures and compression sets. …”
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Effect of aggregate type on moisture susceptibility of modified cold recycled mix asphalt: evaluation by mechanical tests and Surface Free Energy method by Hassan Latifi, Nahid Amini

“…Finally, it was shown that results of SFE method were compatible with the mechanical tests in predicting moisture damage.…”
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Combination of Cannabidiol with Cisplatin or Paclitaxel Analysis Using the Chou–Talalay Method and Chemo-Sensitization Evaluation in Platinum-Resistant Ovarian Cancer Cells by Jana Ismail, Wassim Shebaby, Shirine Azar Atallah, Robin I. Taleb, Sara Kawrani, Wissam Faour, Mohamad Mroueh

“…The Chou–Talalay method and CompuSyn software were used to determine the combination indices (CIs) for predicting interactions between CBD and chemotherapeutic agents. …”
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Ultrasonographic modeling of lung and diaphragm mechanics: clinical trial of a novel non-invasive method to evaluate pre-operative pulmonary function by Tianyuan Li, Xiong-zhi Wu, Dingde Long, Huan Fu, Suping Guo, Fen Liu

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Estimating pros and cons of statistical downscaling based on EQM bias adjustment as a complementary method to dynamical downscaling by Alfredo Reder, Giusy Fedele, Ilenia Manco, Paola Mercogliano

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A High-Resolution Spectral Analysis Method Based on Fast Iterative Least Squares Constraints by Yanyan Ma, Haixia Kang, Weifeng Luo, Yunxiao Zhang, Lintao Luo

“…The prediction of reservoir and caprock thickness is important in geological evaluations for site selection for aquifer underground gas storage. …”
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Evaluating of the accurasy of cardiovascular events predicting using SCORE scale and ultrasound visualization of atherosclerotic plaque in patients of multi-disciplinary hospital i... by L. L. Bershtein, A. E. Golovina, N. O. Katamadze, E. V. Bondareva, S. A. Saiganov

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Evaluation of Pediatric Sequential Organ Failure Assessment Score (pSOFA) in Predicting the Mortality and Outcome of the Patients Admitted in Pediatric ICU in Tertiary Care Hospita... by Arpita Gogoi, P S Kirtheka

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Research and evaluation on the inhibition of coal spontaneous combustion characteristics by different concentrations of chloride salts by Jiuling ZHANG, Kaixu YUE, Jiuyuan FAN, Chuyan SUN, Xiaotong YANG, Gaoyang RUAN

“…Combined with the thermodynamic characteristics of oxidation reaction, the inhibition mechanism of chloride inhibitor was discussed. The entropy weight method was used to evaluate and optimize the inhibitor. …”
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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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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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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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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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