Modelling the Trend of Zagros Forest Degradation using Logistic Regression (Case study: Chardavol Forest of Ilam province) by Ali Mahdavi, Somayeh Rangin, Hossein Mehdizadeh, Vahid Mirzaei Zadeh

“…The supervised classification method of support vector machines was used to classify the satellite images of the respective years. …”
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Comparative characteristics of cytokine regulation in patients with gastric diseases associated with <i>Helicobacter pylori</i> infection by O. V. Smirnova, A. A. Sinyakov

“…Patients and persons of the control group underwent a single blood sampling from the cubital vein upon admission to vacutainers with heparin.The levels of IL-2, IL-4, IL-8, TNFα, interferon-γ in the blood serum of patients and healthy individuals were determined using the enzyme immunoassay method using reagent kits manufactured by JSC “VectorBest”. Statistical data processing was carried out using the Statistica for Windows 8.0 application package.All patients with H. pylori-associated diseases (CG, CAG, GC) showed an increase in pro-inflammatory (IL-2, IL-8, IFNγ) with a significant increase in IL-8 in all patients and IFNγ in gastric cancer and antiinflammatory cytokine (IL-4) with a maximum value in gastric cancer. …”
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Studying concatenation of the Cas9-cleaved transgenes using barcodes by A. V. Smirnov, A. N. Korablev, I. A. Serova, A. M. Yunusova, A. A. Muravyova, E. S. Valeev, N. R. Battulin

“…In pronuclear microinjection, the Cas9 endonuclease is employed to introduce in vivo DNA double-strand breaks at the genomic target locus or within the donor vector, thereby enhancing transgene integration. The manner by which Cas9 interacts with DNA repair factors during transgene end processing and integration is a topic of considerable interest and debate. …”
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A big data analysis algorithm for massive sensor medical images by Sarah A. Alzakari, Nuha Alruwais, Shaymaa Sorour, Shouki A. Ebad, Asma Abbas Hassan Elnour, Ahmed Sayed

“…We infer the extraction, feature selection, attack detection, and data collection and processing procedures to anticipate anomaly inpatient data. …”
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Multi-Temporal Remote Sensing Satellite Data Analysis for the 2023 Devastating Flood in Derna, Northern Libya by Roman Shults, Ashraf Farahat, Muhammad Usman, Md Masudur Rahman

“…The recommendations for data usage and further processing in Google Earth Engine were developed.…”
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Assessment of Optical Properties and Monte Carlo-Based Simulation of Light Propagation in Blackhearted Potatoes by Yalin Guo, Yakai He, Xilong Li, Zhiming Guo, Mengyao Zhang, Xiaomei Huang, Zhiyou Zhu, Huabin Jian, Zhilong Du, Huangzhen Lv

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The impact of aging on achilles tendon ossification in mice by Hanhua Cai, Yujian Lan, Huan Liu, Qi Hao

“…This finding suggests a potential link between these processes, opening new avenues for research into diagnostic markers and therapeutic targets. …”
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Elucidating the role of KCTD10 in coronary atherosclerosis: Harnessing bioinformatics and machine learning to advance understanding by Xiaomei Hu, Fanqi Liang, Man Zheng, Juying Xie, Shanxi Wang

“…KCTD10, a protein implicated in a variety of biological processes, has garnered significant attention for its role in cardiovascular diseases and metabolic regulation. …”
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Development and Evaluation of Solar Radiation Sensor Using Cost-Effective Light Sensors and Machine Learning Techniques by Jesús Antonio Nava-Pintor, Uriel E. Alcalá-Rodríguez, Héctor A. Guerrero-Osuna, Marcela E. Mata-Romero, Emmanuel Lopez-Neri, Fabián García-Vázquez, Luis Octavio Solís-Sánchez, Rocío Carrasco-Navarro, Luis F. Luque-Vega

“…This study explores the feasibility of using low-cost ambient light sensors combined with statistical and machine learning models based on linear, random forest, and support vector regressions to estimate solar irradiance. To achieve this, an Internet of Things-based system was developed, integrating the light sensors with cloud storage and processing capabilities. …”
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Rotor Location During Atrial Fibrillation: A Framework Based on Data Fusion and Information Quality by Miguel A. Becerra, Diego H. Peluffo-Ordoñez, Johana Vela, Cristian Mejía, Juan P. Ugarte, Catalina Tobón

“…However, the typical noise problems of physiological signals affect the results of EGM processing tools, and consequently the ablation outcome. …”
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Advanced Deep Learning Fusion Model for Early Multi-Classification of Lung and Colon Cancer Using Histopathological Images by A. A. Abd El-Aziz, Mahmood A. Mahmood, Sameh Abd El-Ghany

“…The dataset was pre-processed using resizing and normalization techniques. …”
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Radar Echo Characteristics and Recognition of Warm-sector Torrential Rain in Sichuan Basin by Luo Hui, Xiao Dixiang, Kuang Qiuming, Qing Quan, Kang Lan

“…They are accompanied by long-term merge when moving. Among 28 processes, a large proportion appears in the northwest and has the longest duration. …”
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A New Breast Cancer Discovery Strategy: A Combined Outlier Rejection Technique and an Ensemble Classification Method by Shereen H. Ali, Mohamed Shehata

“…The P²S in the BCD strategy indicates that data normalization is a pre-processing approach used to find numeric values in the datasets that fall into a predetermined range. …”
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CHOOSING THE TEST AUTOMATION SYSTEM ACCORDING TO CUSTOMER REQUIREMENTS by Andrei Popov, Myroslav Momot, Alina Yelizieva

“… The subject of the research are methods and technologies for automating the process of software product testing. The aim of the work is to optimize the time and costs for performing automated testing of software products. …”
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Influence of Particle Orientation on the Performance of Geogrid Reinforced Ballast by Jian-bin Zhao, Jie Li, Xiao-hong Bai, Chen-xi Miao, Jun Zhang

“…According to the displacement vectors of the ballast particles, the average thickness of the stable shear band is determined. …”
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Design and Application of Offset-Free Model Predictive Control Disturbance Observation Method by Xue Wang, Baocang Ding, Xin Yang, Zhaohong Ye

“…However, unmeasurable disturbance is widespread in industrial processes, which is difficult to deal with directly at present. …”
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Identifying key risk factors for Chinese international students: a hybrid AHP–DEMATEL–cross-reinforcement matrix approach with policy implications by Hongwei Li, Lei Wang, Junhong Gao

“…Chinese students usually face risks from various aspects in the process of studying abroad. The use of the analytic hierarchy process alone ignores the interplay between the influencing factors and lacks systematic thinking about the identification of key influencing factors due to the intricacies of the factors affecting and constraining these risks. …”
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River Stage Variability and Extremes in the Itacaiúnas Basin in the Eastern Amazon: Machine Learning-Based Modeling by Luiz Rodolfo Reis Costa, Douglas Batista da Silva Ferreira, Renato Cruz Senna, Adriano Marlisom Leão de Sousa, Alexandre Melo Casseb do Carmo, João de Athaydes Silva, Felipe Gouvea de Souza, Everaldo Barreiros de Souza

“…These findings underscore the computational model’s potential for refining hydrometeorological products, thus supporting water resource management and decision-making processes in the Amazon region.…”
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Pure spin current polarizer enabled by antiferromagnetic insulator by Hetian Chen, Dingsong Jiang, Yujun Zhang, Xiaofu Qiu, Yuhan Liang, Qinghua Zhang, Fangyuan Zhu, Takuo Ohkochi, Mingfeng Chen, Yue Wang, Jingchun Liu, Qing He, Jing Ma, Pu Yu, Yuanhua Lin, Tianxiang Nan, Di Yi

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Diagnostic capabilities of magnetic resonance imaging in assessing the myocardial perfusion in cases of ischemic disorders by Elina R. Pogrebnichenko, Adelina S. Mameshova, Zainab A. Akhmedbekova, Patimat T. Tedurova, Mukhammad A. Kamilov, Eldar A. Alibekov, Kazimagomed M. Gazimagomedov, Chopalav S. Saipullaev, Nikolai Yu. Popov, Akhmed L. Abdulaev, Khava S. Nasueva, Madina M. Bakarova, Zalina V. Erkenova

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