The Application of Machine Learning Algorithms to Predict HIV Testing in Repeated Adult Population–Based Surveys in South Africa: Protocol for a Multiwave Cross-Sectional Analysis... by Musa Jaiteh, Edith Phalane, Yegnanew A Shiferaw, Refilwe Nancy Phaswana-Mafuya

“…A chi-square test will be conducted to select important predictors of HIV testing. Each dataset will be split into 80% training and 20% test samples. Logistic regression, support vector machines, random forests, and decision trees will be used. …”
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Predicting abatacept retention using machine learning by Rieke Alten, Claire Behar, Pierre Merckaert, Ebenezer Afari, Virginie Vannier-Moreau, Anael Ohayon, Sean E. Connolly, Aurélie Najm, Pierre-Antoine Juge, Gengyuan Liu, Angshu Rai, Yedid Elbez, Karissa Lozenski

“…The pooled dataset was split into a training/validation cohort for model development and a test cohort for an unbiased evaluation of performance. …”
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A Direct Eulerian GRP Scheme for the Prediction of Gas-Liquid Two-Phase Flow in HTHP Transient Wells by Jiuping Xu, Min Luo, Jiancheng Hu, Shize Wang, Bin Qi, Zhiguo Qiao

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Implementing Machine Learning for Smart Farming to Forecast Farmers’ Interest in Hiring Equipment by Manik Rakhra, Sumaya Sanober, Noorulhasan Naveed Quadri, Neha Verma, Samrat Ray, Evans Asenso

“…Training and testing splits were used on the same data set in order to get a better understanding of the target variables. …”
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A qualitative assessment of behavioral interview method among anesthesiology residency applicants by Sujatha Ramachandran, Angela Vick, Singh Nair, Sarang Koushik, Ludovica Stilli, Kateryna Slinchenkova, Omar Viswanath, Karina Gritsenko, Naum Shaparin

“…In this case individuals who are suited to the field of anesthesiology are adaptable, decisive, team-players with excellent judgment.…”
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Opinions and Practice of US-Based Obstetrician-Gynecologists regarding Vitamin D Screening and Supplementation of Pregnant Women by Sara A. Mohamed, Ayman Al-Hendy, Jay Schulkin, Michael L. Power

“…Obstetrician-gynecologists must make clinical decisions in this environment of uncertain guidance. …”
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EVALUATION OF THE EFFICIENCY OF THE DEVICE FOR LIMITING TENSION OF THE WIRE IN A SHORT CIRCUIT by I. I. Sergey, E. G. Panamarenka, Ya. A. Potachits

“…At short circuit currents over 40 kA the mechanical force and displacement of the wires can have a decisive influence on the structural performance of flexible bus as of single wires as well as of split phases. …”
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Foreign Policy Orientation and Electoral Behavior: Analyzing Opinion Polls in Belarus, Georgia, and Kazakhstan by I. Yu. Okunev, M. N. Shestakova

“…In the post-pandemic years of 2021–2022, the post-Soviet space has entered a stage of decisive transformation, which will test the maturity of the state institutions formed 30 years ago for the region’s countries. …”
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CIVILIZATIONAL AND INSTITUTIONAL ASPECTS OF NATIONAL SELF-IDENTIFICATION IN UKRAINE: PHILOSOPHICAL-ANTHROPOLOGICAL APPROACH by M. I. Boichenko, O. V. Yakovleva, V. V. Liakh

“…The philosophical-anthropological approach contributes to the demystification of the grounds of social self-identification, revealing the decisive role of the personal choice in shaping the new institutional foundations of national self-identity. …”
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Barlow Twins deep neural network for advanced 1D drug–target interaction prediction by Maximilian G. Schuh, Davide Boldini, Annkathrin I. Bohne, Stephan A. Sieber

“…Scientific contribution Our computationally efficient and effective hybrid approach, combining the deep learning model Barlow Twins and gradient boosting machines, outperforms state-of-the-art methods across multiple splits and benchmarks using only one-dimensional input. …”
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Metaheuristic-based optimal energy assessment of hybrid multi-effect evaporator with synergy of solar and wind energy sources by Smitarani Pati, Nandan Kumar Navin, Om Prakash Verma, Dwesh Kumar Singh, Tarun Kumar Sharma, Saurabh Agarwal, Santos Gracia Villar, Luis Alonso Dzul Lopez, Imran Ashraf

“…By incorporating traditional Energy-Saving Schemes (ESSs) and innovative renewable energy sources, the study demonstrates significant potential for reducing energy consumption and environmental impact, making it a decisive pathway for industrial sustainability. Key ESS strategies include Thermo-Vapor Compressors, Feed Preheaters, and Steam- and Feed-Split, which are employed to enhance Steam Economy (SE) to evaluate MEE efficiency. …”
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Development and assessment of a mortality risk prediction nomogram model for pneumocystis disease in ICU within 28 days by Yiru Weng, Tingting Zhou, Honghua Ye

“…Demonstrating robust discrimination and calibration, this tool provides clinicians with a valuable resource for assessing prognosis and making evidence-based treatment decisions.…”
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Optimizing Talent Development for Goalkeepers: Psychological Characteristics, Stressors, and Sustainable Pathways in Elite Soccer by Camille Sabourin, Eric Terrien, Denis Ha

“…For instance, goalkeepers face unique challenges, including the need to maintain concentration despite fluctuations in activity, make split-second decisions under pressure, and manage stress during high-stakes moments (e.g., penalty shootouts; Otte et al., 2020; de Castro et al., 2021). …”
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Programmed Cell Death Ligand 1 (PD-L1) and major Histocompatibility Complex Class I (MHC Class I) Expression Patterns and Their Pathologic Associations in triple-Negative Breast Ca... by Kaewkedsri P, Intarawichian P, Jessadapattarakul S, Kunprom W, Koonmee S, Thanee M, Somintara O, Wongbuddha A, Chadbunchachai P, Nawapun S, Aphivatanasiri C

“…MHC class I expression was evenly split between low and high levels. Older FFPE blocks (2008– 2018) showed lower PD-L1 expression than newer blocks (2019– 2021). …”
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Machine learning models for predicting the bearing capacity of shallow foundations: A Comparative study and sensitivity analysis by Hamid Mohammadnezhad, Seyedmohammad Eslami

“…But more importantly, the precision of the trained model is closely correlated to data splitting and the ratio of train and test series in the dataset. …”
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GPTOR: Gridded GA and PSO-based task offloading and ordering in IoT-edge-cloud computing by Arezou Mahmoudi, Leili Farzinvash, Javid Taheri

“…To increase the convergence speed, the proposed algorithm (GPTOR) splits the solution space into several areas, which is called gridding. …”
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PiLiMoT: A Modified Combination of LoLiMoT and PLN Learning Algorithms for Local Linear Neurofuzzy Modeling by Atiye Sarabi-Jamab, Babak N. Araabi

“…The initially proposed algorithm is improved by adding the ability to merge previously divided local linear models, and utilizing a simulated annealing stochastic decision process to select a local model for splitting. …”
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Adaptive Recognition of Motion Posture in Sports Video Based on Evolution Equation by Rui Yuan, Zhendong Zhang, Yanyan Le, Enqing Chen

“…The two-level neural network intelligent recognition algorithm effectively recognizes similar actions by splitting the traditional single-level neural network into two-level neural networks. …”
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Sentiments of Individuals with Interstitial Cystitis/Bladder Pain Syndrome Toward Pentosan Polysulfate Sodium: Infodemiology Study by Yulin Hswen, Qiuyuan Qin, Pressley Smith, Alison Swierczynski, Stuart Bauer, Erika Ladson, Amanda Leigh Garrett, Catherine A Brownstein

“…The overall compound individuals’ sentiment toward PPS was −0.083, split across 32.49% (115/354) negative, 22.03% (78/354) positive, and 45.48% (161/354) neutral sentiment categories. …”
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A linear tessellation model for the identification of "food desert": A case study of Shanghai, China. by Lu Wang, Yakun He, Zhonghai Yu, Hongrui Wang, Wenjuan Ye, Xin Li, Yingping Liu, Junxiao Zhang

“…This study takes Shanghai as the research area and proposes a multiscale analysis method using a linear tessellation model that splits the street network into homogeneous linear units. …”
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