Effective Scheme of Sequential Application of Electrical Stimulation Courses in Dorsopathies: Comparative Study Results by Tatiana V. Konchugova, Lev G. Agasarov, Tatiana V. Apkhanova, Tatiana V. Marfina, Tatiana P. Miloykovich, Anastasia A. Mukhina

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Identification of PANoptosis-related genes as biomarkers in ischemic stroke by Anna Jiang, Hongjing Zhang, Xinglei Jia, Huangying Zhao, Hong Zhao, Zhengyu Lu

“…Gene ontology-biological process and the Kyoto Encyclopedia of Genes and Genomes were used to analyze the biological processes and possible pathways. …”
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The Fermentation Degree Prediction Model for Tieguanyin Oolong Tea Based on Visual and Sensing Technologies by Yuyan Huang, Jian Zhao, Chengxu Zheng, Chuanhui Li, Tao Wang, Liangde Xiao, Yongkuai Chen

“…The fermentation of oolong tea is a critical process that determines its quality and flavor. Current fermentation control relies on tea makers’ sensory experience, which is labor-intensive and time-consuming. …”
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Constructing a Classification Model for Cervical Cancer Tumor Tissue and Normal Tissue Based on CT Radiomics by Jinghong Pei BD, Jing Yu BD, Ping Ge BD, Liman Bao BD, Haowen Pang MS, Huaiwen Zhang MS

“…Through stringent feature selection process, we identified 18 pivotal radiomic features for classification of cervical cancer and normal uterine tissue. …”
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TAX COMPLIANCE RISK AS AN ELEMENT OF THE TAX RISK MANAGEMENT CONCEPT IN AN ENTERPRISE by Olha Mashchenko, Anastasiia Khodus

“…The main compliance risks cover the processes from state registration of business entities to the final result - payment of taxes and fees to the budgets of all levels, which covers the process of administering taxes of business entities and is an integral part of business activities. …”
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Role of microRNAs in neuroendocrine neoplasms of the stomach by I. N. Peregorodiev, S. V. Vinokurova, V. Yu. Bohyan, V. V. Delektorskaya, O. A. Malikhova, V. A. Gorbunova, B. I. Sakibov, D. S. Elkin, I. S. Stilidi

“…MicroRNAs can be involved in the regulation of all major cellular processes, including proliferation and differentiation, metabolism, signaling pathways, and apoptosis. …”
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Enhancing stroke prediction models: A mixing of data augmentation and transfer learning for small-scale dataset in machine learning by Imam Tahyudin, Ade Nurhopipah, Ades Tikaningsih, Puji Lestari, Yaya Suryana, Edi Winarko, Eko Winarto, Nazwan Haza, Hidetaka Nambo

“…The classification models employed in this study were four algorithms: Random Forest, Support Vector Machine, Gradient Boosting, and Extreme Gradient Boosting. …”
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Exploring the Application of Large Language Models Based AI Agents in Leakage Detection of Natural Gas Valve Chambers by Qian Wei, Hongjun Sun, Yin Xu, Zisheng Pang, Feixiang Gao

“…Leakage problems occur from time to time due to the large number of equipment and complex processes during oil and gas production and transportation. …”
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A temporal fusion method for modeling the rate of penetration during deep geological drilling by Yang ZHOU, Chengda LU, Min WU, Xin CHEN, Ningping YAO, Haitao SONG, Youzhen ZHANG

“…Initially, a basic ROP model was constructed using support vector regression (SVR) to solve the nonlinear problem caused by ROP changes. …”
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Explainable AI for Chronic Kidney Disease Prediction in Medical IoT: Integrating GANs and Few-Shot Learning by Nermeen Gamal Rezk, Samah Alshathri, Amged Sayed, Ezz El-Din Hemdan

“…Machine learning techniques have demonstrated high efficiency in identifying CKD, but their opaque decision-making processes limit their adoption in clinical settings. …”
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Dispersal and evolution of the invasive snail Pomacea canaliculata, an intermediate host of Angiostrongylus cantonensis: A field study around its initial introduction site in South... by Luo Du, Zhang Haitao, Gu Dangen, Mu Xidong, Song Hongmei, Yang Yexin, Xu Meng, Luo Jianren, Hu Yinchang

“…To better understand the parasite vector Pomacea canaliculata, a large-scale field survey was conducted around its initial introduction site in South China. …”
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A Systematic Analysis of Meteorological Parameters in Predicting Rainfall Events by Muhammad Salman Pathan, Pardhu Nadella, Yasin Ul Haq, Soumini Chaudhury, Jiantao Wu, Avishek Nag, Soumyabrata Dev

“…This study shifts the focus towards exploring correlations and feature selection in the context of rainfall prediction, contributing to a more sophisticated understanding of the process. By analyzing five years of weather data from three weather stations in the United States, Canada, and Ireland, the study delves into the interactions between meteorological features and rainfall occurrences. …”
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The Significance of Cellular Senescence Hub Genes in the Diagnosis and Subtype Classification of a Comprehensive Database of Gene Expression in Intervertebral Disc Degeneration by Fei Liu, Silong Gao, Ji Yin, Chao Song, Yongliang Mei, Zhaoqiang Wang, Zongchao Liu

“…ABSTRACT Background Intervertebral disc degeneration (IVDD) is a complex age‐related physiological process, with cellular senescence (CS) being a primary contributing factor. …”
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Empirical Analysis of Honeybees Acoustics as Biosensors Signals for Swarm Prediction in Beehives by Kainat Iqbal, Bayan Alabdullah, Naif Al Mudawi, Asaad Algarni, Ahmad Jalal, Jeongmin Park

“…Swarming, a typical colony reproductive process in honeybees, significantly impacts beekeepers profitability by lowering the number of bees in hives and thus effecting honey production. …”
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Leishmaniasis in Greece: Prospects of transitioning to a One Health surveillance system by Emmanouil Alexandros Fotakis, Dimitris Papamichail, Sofia Boutsini, Eleni Patsoula, Takis Panagiotopoulos

“…Through a separate review process, we describe the current leishmaniasis surveillance system pertaining to humans, animals, vectors and the environment. …”
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Price discovery and market efficiency of cardamom in India by A.N. Vijayakumar

“…Design/methodology/approach – This study used Johansen co-integration, vector error correction model, Granger causality and regression with dummy variables to understand a day of the week effect in high-value agri-commodity of cardamom e-auction prices. …”
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Named Entity Recognition in Aviation Products Domain Based on BERT by Mingye Yang, Bernadin Namoano, Maryam Farsi, John Ahmet Erkoyuncu

“…The aviation products’ manufacturing industry is undergoing a profound transformation towards intelligence, among which the construction of a knowledge graph specifically for the aviation field has become the core link in achieving cognitive intelligence. In the process of knowledge graph construction, named entity recognition (NER) is a key step and one of the main tasks of knowledge extraction. …”
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A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection by Guanqing Kong, Guanqing Kong, Shuang Ma, Shuang Ma, Wei Zhao, Wei Zhao, Haifeng Wang, Haifeng Wang, Qingxi Fu, Qingxi Fu, Jiuru Wang

“…The first step in the detection process is to extract important features from different domains, such as frequency domain, time-frequency domain, and non-linear domain, using methods such as Discrete Wavelet Transform (DWT) and Welch. …”
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Effectiveness of preformed physical factors in the correction of dry eye syndrome after phacoemulsification: a randomized trial by Marina K. Shulikova, Irina P. Shurygina

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SCIENTIFIC PARADIGM SHIFT AS THE BACKGROUND OF LANGUAGE EDUCATION by V. D. Tabanakova

“…At a time of global changes in domestic higher education the linguistic education is considered to be a display of the convergence process of natural sciences, technology and humanities. …”
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