Highly efficient stacking ensemble learning model for automated keratoconus screening by Zahra J. Muhsin, Rami Qahwaji, Ibrahim Ghafir, Mo’ath AlShawabkeh, Muawyah Al Bdour, Saif Aldeen AlRyalat, Majid Al-Taee

“…The model also demonstrated consistent performance on 100 additional unseen test cases, underscoring its generalizability and robustness in KC screening. …”
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Analysis of nucleotide sequences of the ABI3 gene coding region in pea varieties with different percentage of seed storage proteins by K. P. Gainullina, S. D. Rumyantsev, F. A. Davletov, B. R. Kuluev

“…Protein percentage in seeds was determined by the Bradford method. Selection of primers and comparative analysis of nucleotide sequences were performed using the PrimerSelect and MegAlign programs. …”
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Conceptual Basis for Developing Electric Plot Combine Harvester with Combined Power-Generating Plant by Mikhail E. Chaplygin, Ivan A. Starostin, Alexander S. Ovcharenko

“…The basis of the study was scientific publications on the technologies of machine harvesting of selected grain crops and information materials of the manufacturers of plot combine harvesters. …”
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Performance Evaluation of Different Speech-Based Emotional Stress Level Detection Approaches by Jan Stas, Stanislav Ondas, Jozef Juhar

“…This study presents a comprehensive evaluation and comparison of selected conventional and advanced approaches for detecting and classifying emotional stress levels from speech. …”
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Proposing a framework for body mass prediction with point clouds: A study applied in typical swine pen environments by Gabriel Pagin, Luciane Silva Martello, Rubens André Tabile, Rafael Vieira de Sousa

“…Subsequently, machine learning models (Random Tree - RT, Random Forest - RF, Linear Regression - LR, K-Nearest Neighbors - KNN, Support Vector Regression - SVR, and Multilayer Perceptron - MLP) were trained, optimized, and evaluated using k-fold cross-validation, followed by statistical analysis. Feature selection was performed using a Wrapper method and additional statistical testing. …”
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SaGP: identifying plant saline-alkali tolerance genes based on machine learning techniques by Baixue Qiao, Baixue Qiao, Baixue Qiao, Wentao Gao, Xudong Zhang, Xudong Zhang, Min Du, Min Du, Shuda Wang, Shuda Wang, Xuanrui Liu, Xuanrui Liu, Shaozi Pang, Shaozi Pang, Chunxue Yang, Jiang Wang, Jiang Wang, Yuming Zhao, Linan Xie, Linan Xie

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Molecular mechanisms involved in the anticancer activity of crocin and crocetin, two bioactive compounds found in saffron by Mohammad Mehdi Haghighat_Lari, Maryam Milajerdi, Alireza Milajerdi

“…Saffron, a valuable spice, possesses various medicinal properties including anticancer effects in addition to its aromatic qualities. Numerous studies have shown that bioactive compounds in saffron, especially crocin and crocetin, exhibit selective toxicity against cancer cells. …”
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Machine learning approach for revealing the nickel grade and recovery optimization in reduction process of laterite ores by Vuri Ayu Setyowati, Fakhreza Abdul

“…With the increasing demand for energy-efficient processes, the selective reduction of laterite nickel ore, followed by ferronickel metal separation, has become the main focus. …”
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THE METHOD OF ADAPTIVE STATISTICAL CODING TAKING INTO ACCOUNT THE STRUCTURAL FEATURES OF VIDEO IMAGES by Volodymyr Barannik, Dmytro Havrylov, Serhii Pantas, Yurii Tsimura, Tatayna Belikova, Rimma Viedienieva, Vasyl Kryshtal

“…The differences of the method consist in carrying out vector intertransformation zig-zag linearization taking into account the selection of spectral components defined as complementary. …”
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Research on Inspection Method of Intelligent Factory Inspection Robot for Personnel Safety Protection by Ruohuai Sun, Bin Zhao, Chengdong Wu, Xiaohong Qin

“…To address the issues of low efficiency and high omission rates in monitoring workers’ compliance with safety dress codes in intelligent factories, this paper proposes the SFA-YOLO network, an enhanced real-time detection model based on a Selective Feature Attention mechanism. This model enables inspection robots to automatically and accurately identify whether the workers’ attire meets the safety standards. …”
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Candidate genes associated with fatty acid compositions in north American Atlantic salmon (Salmo salar) by Barbara L. Langille, Manuel Juárez, Nuria Prieto, Solomon Boison, Panya Sae Lim, Bruce D. Swift, Amber F. Garber

“…Heritability of fatty acids ranged from 0 to 0.99, however, most fatty acids and indices had moderate to high heritabilities (ranged from 0.20 to 0.88), implying that selection for improvement of traits could be possible. …”
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The Utilization of Vegetable Powders for Bread Enrichment—The Effect on the Content of Selected Minerals, Total Phenolic and Flavonoid Content, and the Coverage of Daily Requiremen... by Aleksandra Purkiewicz, Fatma Hazan Gul, Renata Pietrzak-Fiećko

“…In addition, the coverage of daily requirements of selected minerals was evaluated after the consumption of 100 g of each type of bread. …”
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A Highly Selective and Sensitive Fluorescent Probe With a Large Stokes Shift for Near-Infrared Visualization of Endogenous and Exogenous Biothiols in Living Cells by Xiaomin Li, Rongrong Yuan, Yangmin Ma, Guanglong Li, Siyue Ma

“…Results: Fluorescence spectral analysis confirmed that the DCMOS-N probe exhibits high selectivity and strong anti-interference properties in biothiol detection. …”
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Optical Microstructure, FESEM, Microtensile, and Microhardness Properties of LM 25-B4Cnp-Grnp Hybrid Composites Manufactured by Selective Laser Melting by M. Babu, S.R. Venkataraman, Putta Nageswara Rao, Venkateswara Rao, S. Kaliappan, Pravin P Patil, S. Sekar, K.P. Yuvaraj, Arundeep Murugan

“…These hybrid nanocomposites were fabricated by a novel additive manufacturing method—selective laser melting. …”
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Knowledge, practice, and impact of COVID-19 on mental health among patients with chronic health conditions at selected hospitals of Sidama regional state, Ethiopia. by Yilkal Simachew, Amanuel Ejeso, Sisay Dejene, Mohammed Ayalew

“…<h4>Background</h4>COVID-19 causes worse outcomes and a higher mortality rate in adults with chronic medical conditions. In addition, the pandemic is influencing mental health and causing psychological distress in people with chronic medical illnesses.…”
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Effect of Using Gasoline with Bioethanol on Power, Torque and Selected Exhaust Gas Components: Case Study of a Small Spark-Ignition Outboard Engine by Zastempowski Marcin, Kaszkowiak Jerzy, Jablonicky Juraj, Hujo Lubomir, Gromnicki Michał

“…The fuels considered here were gasoline with an octane number of 95, bioethanol in pure form, and mixtures of both fuels. Also studied were selected components of the exhaust gas generated during operation of the engine for each fuel. …”
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Linkages between industry, agriculture, growth, renewable energy and the environment and the role of institutional quality, evidence from selected South and East Asian economies by Guo Chun Lao, Guang Qiang Luo

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The effect of volumetric energy density on high-temperature dry sliding wear behaviour of 310 stainless steel fabricated by Selective Laser Melting process by Nandhakumar R, K. Venkatesan

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Impact of E-Learning on Pupils Academic Performance in Social Studies: A Case Study of Selected Schools in Ikumba Sub-County Rubanda District. by Tibekyinga, William

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Genetic parameters, association of traits and selection of durum wheat genotypes (Triticum turgidum L. var. durum) advanced lines at Injibara, Northwestern Ethiopia by Birkneh Kuru, Ahadu Menzir, Mulusew Kassa

“…Additive gene effects predominantly influenced ETN, KPS, GY, and HI, making phenotypic selection effective for these traits. …”
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