A Genetic Algorithm Approach to Adaptive Learning: Enhancing Learner Satisfaction and Performance by Anju Kalwar, Deepika Shekhawat, Sandeep Joshi, Amit Kumar Bairwa

“…The algorithm genetically generates a random vote of potential content sequences as the initial population that improves through creation by selection, crossover, or mutation. …”
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Dynamic neutrosophic cognitive map with improved cuckoo search algorithm (DNCM-ICSA) and ensemble classifier for rheumatoid arthritis (RA) disease by B. Chithra, R. Nedunchezhian

“…There are four important steps involved in this work, which include data preprocessing, feature selection, prediction and classification. The initial phase of the work comprises of data preprocessing, and second phase of the work comprises of gene selection process with T-test, chi-squared test, relief-F and Minimum Redundancy Maximum Relevance (mRMR). …”
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Treatment outcomes of pre-surgical infant orthopedics in patients with non-syndromic cleft lip and/or palate: A systematic review and meta-analysis of randomized controlled trials. by Hamid Reza Hosseini, Eleftherios G Kaklamanos, Athanasios E Athanasiou

“…<h4>Data collection and analysis</h4>Following study retrieval and selection, data extraction and individual study risk of bias assessment using the Cochrane Risk of Bias Tool took place. …”
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Prediction of tuberculosis treatment outcomes using biochemical makers with machine learning by Zheyue Wang, Zhenpeng Guo, Weijia Wang, Qiang Zhang, Suya Song, Yuan Xue, Zhixin Zhang, Jianming Wang

“…Conclusion Our model provides valuable insights into TB outcomes based on initial patient tests, potentially guiding prevention and control strategies. …”
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Machine-learning-based analytics for risk forecasting of anaphylaxis during general anesthesia by Shuang Liu, Yasuyuki Suzuki, Toshihiro Yorozuya, Masaki Mogi

“…After data pre-processing, the performance of five classification methods: Logistic Regression Analysis, Support Vector Machine, Random Forest, Linear Discriminant Analysis, and Naïve Bayes), which were integrated with four feature selection methods (Recursive Feature Elimination, Chi-Squared Method, Correlation-based Feature Selection, and Information Gain Ratio), was evaluated using two-layer cross-validation. …”
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Quality Metrics of Automated Machinery in Potato Plant Cultivation for Breeding and Seed Production by N. V. Sazonov, M. A. Mosyakov, V. S. Teterin, N. S. Panferov, M. M. Godyaeva, M. S. Trunov

“…Consequently, there is a need to undertake a series of initiatives aimed at developing a digital system for automated detection and recognition of both healthy and infected plants. …”
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Properties and Pitfalls of Various Casting MaterialsMaster's MethodMaster's MethodMaster's MethodMaster's MethodMaster's MethodMaster's MethodMaster's MethodMaster's Method by Brendon C. Mitchell, MD, Keith Baldwin, MD

“…Additionally, we will examine the unique characteristics of children that influence decision-making regarding the selection of materials for the under- and over-layers of a cast, as well as considerations based on anatomic location and type of cast. …”
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Variability of the main elements of sweet sorghum productivity by A. E. Romanyukin, N. A. Kovtunova, V. A. Shurshalin, G. M. Ermolina

“…A leaf length and width are marker indicators of high productivity, so they can be used in plant selection for productivity.…”
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RADISH CULTIVARS BRED AT VNIISSOK AND THEIR USE by M. I. Fedorova, T. V. Zayachkovskaya

“…Cultivars 'Koroleva Margo', Pheya, Sonata, Sophit, Mokhovskiy are the initial breeding accessions for selection of new cultivar population, MS and MF lines needed for heterosis.…”
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The estimation of productivity of some introduced and local varieties of grain crops in the Republic of Dagestan by M. G. Muslimov, K. U. Kurkiev, N. S. Taymazova, N. A. Kovtunova, S. I. Gorpinichenko

“…Updating of the genetic material through the introduction of new initial forms is one of the ways of successful breeding of the grain crops. …”
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Energy-efficient artificial fish swarm-based clustering protocol for enhancing network lifetime in underwater wireless sensor networks by Puneet Kaur, Kiranbir Kaur, Kuldeep Singh, Kiran Saleem, Ateeq Ur Rehman, Rupesh Gupta, Seada Hussen Adem

“…EAFSCCIP leverages the collective behavior of artificial fish within a Bees algorithm framework, using a combination of heuristic and metaheuristic approaches for optimal cluster-head (CH) selection in each round. The protocol focuses on reducing energy consumption and extending network lifetime by considering real-time energy levels and the proximity of nodes for CH selection. …”
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Beyond cost: a value-based framework for biosimilar procurement in emerging markets – the Thai experience by Anunchai Assawamakin, Nilawan Upakdee, Khachen Kongpakwattana

“…The literature review identified existing biosimilar selection criteria, which were mapped onto the Most Economically Advantageous Tender (MEAT) Value-Based Procurement (VBP) framework. …”
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Theory development of under what circumstances and what works for promoting disaster preparedness among long-term care facility (LTCF) stakeholders: protocol for realist review by Hiroki Fukahori, Ardith Z Doorenbos, Shinya Mitani, Hirofumi Ogawara, Shoko Miyagawa

“…The following five steps will be employed: (1) literature review and search for evidence, (2) study selection, (3) data extraction, (4) data synthesis and (5) development of the initial programme theory (IPT). …”
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Source material creation for high content of dry soluble substances F₁ cherry tomato hybrids breeding by S. F. Gavrish, T. A. Redichkina, A. I. Topinskiy

“…The aim of our work was the creation of initial material for the selection of F1 cherry tomato hybrids with a high content of dry soluble substances.Materials and methods. …”
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Immune Checkpoint Inhibitor‐Based Therapy as the First‐Line Treatment for Advanced Non‐Small Cell Lung Cancer: Efficacy, Challenges, and Future Perspectives by Xingxiang Pu, Yu Zhou, Jingyi Wang, Lin Wu

“…ABSTRACT The selection of initial systemic treatment for advanced non‐small cell lung cancer (NSCLC) depends on histological subtypes, oncogenic driver identification through genomic profiling, and programmed death‐ligand 1 (PD‐L1) expression quantification. …”
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Development and validation of nomograms for predicting overall survival and cancer-specific survival in unresected colorectal cancer patients undergoing chemotherapy by Yuan-Xiang Li, Bai-Xiang Mu, Hua-Jian Zhou, Jun Qian, Jin-Yong Zhou, Min Chen

“…The data were randomly divided into training and validation sets. Initial variable selection was performed using the least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression analysis was used to identify independent prognostic factors. …”
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Exploration of the Application Rules and Clinical Significance of Acupoints in Acupuncture Treatment of Migraine Based on Data Mining by He Y, Wang X, Liu M, Li L, Han T, Wu Y, Li X

“…However, as each acupoint elicits distinct analgesic pathways and acupuncturists vary in their acupoint selection, there is currently an absence of evidence-based guidance for determining the optimal acupoint selection.Objective: The aim of this study was to conduct an initial comprehensive data mining analysis to identify the most effective acupoints and their combinations for migraine treatment.Methods: A comprehensive search was carried out in eight electronic bibliographic databases (PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Wanfang Database, Chinese Biomedical Literature Database, and Chongqing VIP Database) from their inception up to May 2025. …”
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Case Report: A rare case of MET-amplified gastric cancer with systemic metastasis: remarkable efficacy of crizotinib and the role of precision medicine by Yan Shen, Yan Shen, Yaxin Xu, Yaxin Xu, Jing Sun, Jing Sun

“…Despite eventual disease progression, the initial response to crizotinib was remarkable, with rapid hematologic recovery (platelets: 7→216×109/L) and significant tumor regression. …”
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Advanced Practice Nurse Intervention Versus Usual Care for Hypertension Control: A Pilot Open‐Label Randomized Controlled Trial by Juliette Vay‐Demouy, Hélène Lelong, Jacques Blacher

“…The study sample included 437 participants (n = 229 in the experimental group; n = 208 in the “usual care” group). Considering the selection bias identified for baseline systolic BP, statistical analyses were adjusted on this parameter. …”
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A NEW SPRING SOFT WHEAT VARIETY ‘VORONEZHSKAYA 18’ FOR THE CENTRAL-BLACKEARTH REGION by E. I. Malokostova

“…Dokuchaev by intraspecific hybridization with a further individual selection from a hybrid population: F (‘Voronezhskaya 10’/’Krestyanka’)/’Krestyanka’. …”
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