Synthesis of Molecularly Imprinted Polymers for Selective Extraction Followed by Solid Phase Determination of Metformin in Pharmaceutical Preparation and in Human Serum by Rana A. Kamal Aldeen, Yehya K. Al-Bayati

“…A solid-phase extraction (SPE) syringe packed with molecular imprinted polymers (MIPs) was employed to selectively separate and pre-concentrate the Metformin in multiple pharmaceutical drugs from several sources. …”
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Public Health Care and Clinical Medicine in the Sixteenth Century Joseon: Through the Perspective of Gosachalyo (Selected Essentials on Verified Facts) by Jaekyung LEE

“…These sixteenth-century imports not only revolutionized Joseon’s clinical practices but also significantly impacted the government’s public health initiatives.…”
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Biomarker-driven drug repurposing for NAFLD-associated hepatocellular carcinoma using machine learning integrated ensemble feature selection by Subhajit Ghosh, Sukhen Das Mandal, Subarna Thakur

“…Among the seven machine learning models initially evaluated, DISCR resulted as the most accurate disease stage classifier. …”
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Multi-strategy fusion binary SHO guided by Pearson correlation coefficient for feature selection with cancer gene expression data by Yu-Cai Wang, Hao-Ming Song, Jie-Sheng Wang, Xin-Ru Ma, Yu-Wei Song, Yu-Liang Qi

“…However, this data is often characterized by high-dimensional, multi-text and multi-classification, which requires an effective feature selection (FS) method. A multi-strategy fusion binary sea-horse optimizer guided by Pearson correlation coefficient was proposed for FS with cancer gene expression data. …”
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Fruit characterization and seed germination of selected dry forest wild edible fruit tree species in North West Ethiopia by Kirubiel Motbaynor, Asmamaw Alemu, Yohannis Gebremariam, Amare Gebeye, Muhabaw Taju

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An Enhanced Zebra Optimization Algorithm With Multiple Strategies for Global Optimization and Feature Selection Problems: A Hepatocellular Carcinoma Case Study by Feyza Altunbey Ozbay

“…Evaluations of feature selection datasets show that CLESQ-ZOA exhibits effective performance in determining the optimal feature subset.…”
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DEVELOPMENT OF NEW FORMS OF TREE-SHAPED TOMATO AND THEIR USE IN BREEDING PROGRAM by V. M. Rotari, M. D. Nikulaesh, A. E. Tsepordei, R. K. Rechets

“…The tree-shaped breeding lines: ‘196/12’, ‘374/08’, ‘909/14’, ‘911/14’ and other were observed with the use of interspecific hybridization and selection in the population F2-F4. The selected lines passed the trial in artificially infected condition with Alternaria, viral diseases (MToV, TSWV) and phytoplasmas. …”
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Study on the Dynamic Parameters of Plantar Pressure Applicable to the Elderly Screened by Delphi Method by YAN Yifeng, OU Jianlin, ZHENG Jiaxing, SUN Chenming, SHANG Yaru, CHEN Zhuoming

“…The final index screening criteria were "the arithmetic mean of total score ≥ the <italic>P</italic>₂₅ of the arithmetic mean" or "the full score ratio of total score ≥ <italic>P</italic>₂₅ of full score ratio" and "coefficient of variation of total score ≤ <italic>P</italic>₇₅ of the coefficient of variation".ResultsThe 24 of 25 experts were actively involved in the initial consultation, and none of these experts reported being unfamiliar with the indicators. …”
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Ensemble learning techniques reveals multidimensional EEG feature alterations in pediatric schizophrenia by Ying Mao, Ying Mao, Fang Wang, Shan Wang, Zhaowei Wang, Gang Li, Xuchen Qi, Xuchen Qi, Yu Sun, Yu Sun

“…A data-driven feature selection approach (Recursive Feature Elimination) was applied to identify the most informative features, resulting in 212 most discriminative features (48 RP, 40 FuzEn, and 124 FC) out of the initial 760. …”
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A simple and universal strategy for preparing external stress-free two-way shape memory polymers by making use of the chemical crosslinkages derived from peroxide initiator by L. F. Fan, Y. N. Huang, M. Z. Rong, M. Q. Zhang

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Сoronary artery disease mortality rates in the Russian Federation and a number of regions: dynamics and structure specifics by D. Sh. Vaisman, E. N. Enina

“…The high CAD mortality rate in the studied regions is associated mainly with errors in the selection of chronic CAD forms as the initial cause of death. …”
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Chronic insomnia disorder as risk factor for stroke: a systematic review by Luiz Augusto Soares Silva, Mateus Molin do Amaral, Vanise Grassi, André Luiz Rodrigues Palmeira

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An antibiotic stewardship initiative focused on community-acquired bacterial pneumonia (CABP) in outpatient clinics and urgent care centers: a 2023–2024 community health system exp... by Tomefa E. Asempa, Tyler Ackley, Kristin E. Linder, Cara D. Riddle, Eric Walsh, David P. Nicolau

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Improving participants’ recruitment in dementia-related studies on social media through colloquial language in Lima, Peru by Belén Custodio, Maria Mora-Pinzon, Rosa Montesinos, Maria Eugenia Godoy, José Carlos Huilca, Katherine Agüero, Nilton Custodio

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Problems and prospects for employment of young Russian teachers by Marina B. Bulanova

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A New Method for Spectral Wavelength Selection Based on Multiple Linear Regression Combined with Ant Colony Optimization and Genetic Algorithm by Qing Huang, Heru Xue, Jiangping Liu, Xinhua Jiang

“…MLR-ACO can well solve the problem of traditional ACO initial pheromone scarcity, and MLR-ACO-GA can avoid MLR-ACO falling into a local optimum to a certain extent and be more flexible in the selection of the number of wavelengths, which can give full play to the advantages of MLR-ACO.…”
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Computational intelligence to detect bearing faults using optimal features from motor current signals by G. Geetha, P. Geethanjali

“…The study aims to find the fewest and most reliable features in the dataset from Paderborn University so that a simple and accurate way can be found to diagnose faults using current signals. The selection of optimal features is initially performed using three algorithms: the equilibrium optimizer, the emperor penguin optimizer (EPO), and the butterfly optimization method. …”
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Improved feature reduction framework for sign language recognition using autoencoders and adaptive Grey Wolf Optimization by Rajeev Goel, Sandhya Bansal, Kavita Gupta

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Enhanced CAD Detection Using Novel Multi-Modal Learning: Integration of ECG, PCG, and Coupling Signals by Chengfa Sun, Xiaolei Liu, Changchun Liu, Xinpei Wang, Yuanyuan Liu, Shilong Zhao, Ming Zhang

“…A novel coupling signal is initially generated by operating the deconvolution of ECG and PCG. …”
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Alpine Wetlands Information Extraction Using Optimized Multifeatures and Random Forest Algorithm by Dongchuan Wang, Fei Yang, Shijie Jia, Zhiheng Wang, Chunhua Dong, Mingwei Lang, Kai Ye, Haotian Liu, Tingrong Li

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