Prediction of ultimate load capacity of demountable shear stud connectors using machine learning techniques by Ahmed I. Saleh, Nabil S. Mahmoud, Fikry A. Salem, Mohamed Ghannam

“…Abstract This study investigates the use of machine learning (ML) models to predict the ultimate load capacity of demountable shear connectors in steel–concrete composite structures. …”
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Aircraft Multi-stage Altitude Prediction Under Satellite Signal Loss by Mengchan HUANG, Qiang MIAO

“…This study proposes a multi-stage altitude prediction model using attention mechanisms and temporal convolutional neural networks (TCNs).Methods The aircraft’s flight stages are determined to facilitate targeted altitude prediction for different flight phases. …”
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Study of the effect of bifonazole concentration on the antifungal activity of vaginal suppositories by T. V. Mielnyk, N. L. Kolycheva

“…The purpose of this work is the scientific substantiation of the concentration of bifonazole in suppository compositions for vaginal use. Materials and methods. …”
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Evaluation of Different Restoration Combinations Used in the Reattachment of Fractured Teeth: A Finite Element Analysis by Nagihan Guven, Ozgur Topuz, İhsan Yikilgan

“…The purpose of this study was to test different restoration combinations used for constructing fractured endodontically treated incisors by reattaching their fractured fragments. Methods. Seven types of 3-D FEM mathematical root canal-filled models were generated, simulating cases of (OB) reattaching fractured fragments; (CrPL) reattaching fractured fragments + ceramic palatinal laminate; (CmPL) reattaching fractured fragments + composite palatinal laminate; (CM) reattaching fractured fragments + coronal 1/3 of the root was filled using core material; (BP) reattaching fractured fragments + glass fiber post; (CP) composite resin restoration + glass fiber post; and (OC) composite resin restoration. …”
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Effects of anaerobic power bicycle training on the lower-limb anaerobic exercise ability of female basketball players by Haoyang Ding, Ruixue Zhao, JiaMeng Wang, Shuai Zhao

“…Multiple linear regression models for power cycling metrics were developed. Conclusions: The method proposed in this study is effective for developing training models, especially when physical assessments or experimental tools are unavailable. …”
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Investigating the Determinants of Toxoplasma gondii Prevalence in Meat: A Systematic Review and Meta-Regression. by Simone Belluco, Marzia Mancin, Daniele Conficoni, Giulia Simonato, Mario Pietrobelli, Antonia Ricci

“…Due to the high heterogeneity observed, univariable and multivariable meta-regression models were fitted showing that the geographic area for cattle (p = 0.032), the farming type for pigs (p = 0.0004) and the sample composition for sheep (p = 0.03) had significant effects on the prevalences of Toxoplasma detected/estimated. …”
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The effectiveness of self-directed meal replacement-assisted intermittent fasting in adults by Meixian Zhang, Guifeng Shi, Shuang Wang, Xiaoqin He, Tao-Hsin Tung, Yahong Chen, Yafei Ye

“…The outcomes were the percent change in body weight from baseline to weeks 4 and 8 and the associated changes in body composition (using a bioimpedance analyzer). Generalized estimating equation (GEE) models were used to compare outcomes between groups. …”
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Water–rock interaction in the geothermal systems related to post-collision zone volcanism: A case study based on multivariate statistical analysis from the Kavak geothermal field (... by Gündüz, Mesut, Bozdağ, Ayla, Bayram, Ali Ferat, Bozdağ, Ali, Asan, Kürşad, Sardini, Paul

“…Water–rock interaction is the focus of geothermal energy studies and can be documented by traditional geochemical methods such as ion ratio method and hydrogeochemical modelling etc. …”
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Coffee plant disease identification with an attentive multi-image segmentation framework (MISF) with CycleGAN by Savitri Kulkarni, P. Deepa Shenoy, K.R. Venugopal

“…This targeted segmentation ensures that the subsequent synthetic image generation and classification processes focus only on meaningful disease features, thereby enhancing model accuracy and generalization. In comparison to existing state-of-the-art methods that rely on generic GAN-based augmentation or shallow CNN classifiers, our approach integrates attentive segmentation with an enhanced CycleGAN to generate lesion-focused synthetic data. …”
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Population dynamics and monitoring applied to decision-making by M. J. Conroy, D. C. Lee

“…They also employ a ayesian approach and overcome some of the computational challenges by using Markov chain–Monte Carlo methods. Ring–recovery and harvest data are used to estimate fall age ratios under alternative reproductive models. …”
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John of Damascus Rewriting Cyril of Alexandria: The Neglected Source of Contra Nestorianos (CPG 8053) by Petros Tsagkaropoulos

“…Instead, it demonstrates that Contra Nestorianos is a composition modelled closely on a hitherto overlooked source: Cyril of Alexandria’s Quod unus sit Christus. …”
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A Hierarchical Path Planning Framework of Plant Protection UAV Based on the Improved D3QN Algorithm and Remote Sensing Image by Haitao Fu, Zheng Li, Jian Lu, Weijian Zhang, Yuxuan Feng, Li Zhu, He Liu, Jian Li

“…Additionally, a dynamic energy consumption model and a progressive composite reward function are incorporated to further optimize UAV path planning in complex farmland conditions. …”
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The Elemental Analysis of Deep Earth Cuttings Based on Laser-Induced Breakdown Spectroscopy by GUO Qingbin, HU Wei, SHI Mingxin, ZHENG Pengfei, WU Di, AI Yong, CHEN Minxin, YU Jun

“…To address the demand for rapid in-situ detection of mineral and carbon elements in cuttings during ultra-deep hydrocarbon exploration, this study proposes an efficient elemental composition detection method based on laser-induced breakdown spectroscopy (LIBS). …”
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COVID-19 detection from chest CT images using optimized deep features and ensemble classification by Muhammad Minoar Hossain, Md. Abul Ala Walid, S.M. Saklain Galib, Mir Mohammad Azad, Wahidur Rahman, A.S.M. Shafi, Mohammad Motiur Rahman

“…Hence, this research aims at a faster and automatic detection approach of COVID-19 disease from the chest Computed tomography (CT) scan images. For the composition of the system, this approach constructs a feature vector from the CT images through the features fusion of two Convolutional neural network (CNN) models namely VGG-19 and ResNet-50. …”
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The Study of Phase Behavior of Multi-Component Alkane–Flue Gas Systems Under High-Temperature Conditions Based on Molecular Dynamics Simulations by Xiaokun Zhang, Jiagao Tang, Zongyao Qi, Suo Liu, Changfeng Xi, Fang Zhao, Ping Hu, Hongyun Zhou, Chao Wang, Bojun Wang

“…However, the complex high-temperature phase behavior between flue gas (CO₂, N₂) and reservoir fluids challenges this technology’s development, as traditional experimental methods and theoretical models often fall short in capturing it accurately. …”
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Radiation enteritis associated with temporal sequencing of total neoadjuvant therapy in locally advanced rectal cancer: a preliminary study by Chen-ying Ma, Yi Fu, Lou Liu, Jie Chen, Shu-yue Li, Lu Zhang, Ju-ying Zhou

“…Methods A retrospective analysis was conducted on the data from 92 patients with LARC who received TNT. …”
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An intervention framework for the adoption of solar home system technology in rural Vhembe district, South Africa by Ranganai Chidembo, Joseph Francis, Simbarashe Kativhu

“…Confirmatory factor analysis and hypothesis testing were employed as the principal statistical methods. Results A 12-item model with five distinct factors consolidated into a single measurement model was revealed. …”
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Psychometric properties of the Chinese version physical literacy assessment questionnaire among high school students in Gansu, China by Zilu Qu, Jiarun Wu, Yee Cheng Kueh, Dongqing Ye, Garry Kuan

“…Results All observed items exhibited high factor loadings, confirming that the assumed model, consisting of 40 items grouped into four latent variables, was consistent with the original model. …”
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Unraveling the Distribution of Black Carbon in Chinese Forest Soils Using Machine Learning Approaches by Chen Zhao, Zhouyang Tian, Qiang Zhang, Yinghui Wang, Peng Zhang, Guodong Sun, Yuanxi Yang, Ding He, Shuxin Tu, Junjian Wang

“…Here, we characterized soil BC across 68 Chinese forest sites using benzene polycarboxylic acid method and developed machine learning (ML) models to predict and interpret potential impacts of soil organic matter (SOM) properties, soil physiochemical properties, meteorological conditions, wildfire history, and microbial diversity on BC. …”
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Racial segregation and genomics-related knowledge, self-efficacy, perceived importance, and communication among medically underserved patients by Jemar R. Bather, Melody S. Goodman, Kimberly A. Kaphingst

“…Louis, Missouri. Multivariable models were used to examine associations between racial composition of social environments across the life course and genomics-related knowledge, self-efficacy, perceived importance, and communication. …”
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