Stability and transepithelial transport of oligopeptide (KRQKYD) with hepatocyte-protective activity from Jinhua ham in human intestinal Caco-2 monolayer cells by Wen Nie, Feiran Xu, Kai Zhou, Jieying Deng, Ying Wang, Baocai Xu

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The Blocking Mechanism of the Vertical Feeding System of Roadside Support Body Material for Backfilling Gob-Side Entry Retaining by Peng Gong, Zhanguo Ma, Jian Sun, Ray Ruichong Zhang

“…Reliable operation of the feeding system plays a crucial role in ensuring the safe and efficient production of the working face of backfilling gob-side entry retaining (GER). In the process of vertical feeding of the roadside support body material, the problem of blocking of the feeding shaft has occurred to the test mine, which seriously affects the production safety in mines. …”
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Application of machine learning techniques to predict the compressive strength of steel fiber reinforced concrete by Ala’a R. Al-Shamasneh, Arsalan Mahmoodzadeh, Faten Khalid Karim, Taoufik Saidani, Abdulaziz Alghamdi, Jasim Alnahas, Mohammed Sulaiman

“…Six advanced regression-based algorithms, including support vector regression (SVR), Gaussian process regression (GPR), random forest regression (RFR), extreme gradient boosting regression (XGBR), artificial neural networks (ANN), and K-nearest neighbors (KNN), were benchmarked through rigorous model validation processes including hold-out testing, K-fold cross-validation, sensitivity analysis, and external validation with unseen experimental data. …”
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Analysis of multiple faults in induction motor using machine learning techniques by Puja Pohakar, Ravi Gandhi, Surender Hans, Gulshan Sharma, Pitshou N. Bokoro

“…Traditional diagnostic methods are expert judgment-based and pre-threshold-based and, therefore, less efficient when dealing with vast industrial processes. Based on key operating parameters like voltage, current, and speed, this article describes how machine learning (ML) algorithms like Random Forest (RF), K-Nearest Neighbors (KNN), Gradient Boosting Machine (GBM), Support Vector Machines (SVM), and Extreme Gradient Boosting with Feature Interaction (XGBoost + FIS) are used to detect different motor faults. …”
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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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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

“…ObjectiveGiven that the rate of penetration (ROP) serves as a key indicator of drilling efficiency, constructing an accurate ROP model holds great significance for optimizing drilling processes and reducing drilling costs. However, deep geological drilling faces challenges such as nonlinearity, non-convex optimization, multiple operating conditions, and temporal variations. …”
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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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The Modern Trends of Financial Reporting Development by Olga V. Rozhnova

“…The study was conducted for the traditional scientific conference in the memory of Sarah Bentsionovna Barngoltz “the Standardization of accounting and control and analytical processes” organized by the Department of accounting, analysis and auditing of the Financial University under the Government of the Russian Federation in 2017. …”
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Study of declination methods while forming the appearance of the surface-to-air unmanned aerial vehicle with a vertical start by A. V. Vindeker

“…A characteristic initial part of the trajectory of such unmanned aerial vehicles is the declination to the required angular position over a short period of time. The UAV declination process requires the generation of relatively large control moments. …”
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Stability analysis of surrounding rocks of deeply-buried underground chambers based on the improved block theory and simulation using unwedge computer program by Fugui Tao, Anyi Lan, Lei Han, Xudan Sun, Zhixi Liu

“…By comparing the refined block theory and computer program calculation results with the actual construction and excavation process of the underground cavern, we found that they are largely consistent. …”
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3D-printed optogenetic neural probe integrated with microfluidic tube for opsin/drug delivery by Revathi Sukesan, Mohsin Mohammed, Keonghwan Oh, Malvika Sharma, Dipesh Chaudhury, Sohmyung Ha

“…This dual-step process increases the risk of tissue damage and misalignment between the injection and implantation sites. …”
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A Novel Algorithm for Precise Orbit Determination Using a Single Satellite Laser Ranging System Within a Single Arc for Space Surveillance and Tracking by Dong-Gu Kim, Sang-Young Park, Eunji Lee

“…The proposed algorithm redefines the cost value for orbit determination by leveraging residual tendencies in the POD process. The tendencies of residuals are quantified as R-squared values using Fourier series fitting to determine velocity vector information. …”
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Hermeneutics and its New Tendencies: to the Question of Aesthetic Paradigm Change by N. F. Shcherbak

“…The work examines the main vector of development of contemporary literary and hermeneutics studies. …”
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Transformation of Space Discourse: from Traditional Society to Postmodern Era by V. A. Shchipkov

“…In addition, the paper examines the process of radical changes in the perception of space beginning in the Renaissance and under the impact of the long process of secularization and general demythologization referred to by the author as the Modernity era. …”
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Cascaded Machine Learning of Soil Moisture and Salinity Prediction in Estuarine Wetlands Based on In Situ Internet of Things Monitoring by Jie Song, Yujun Yi

“…Abstract Estuarine wetlands, formed by the interaction of fluvial and tidal processes, exhibit complex spatiotemporal variations in soil moisture and salinity. …”
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Gulf Cooperation Council (GCC) and Regional Integration in Asia by Dr. Debesh Bhowmik

“…In this paper, the author endeavours to show the impact of economic integration of Gulf Cooperation Council (GCC) on the Asian economic integration in the sense that the process of integration of GCC with SAARC and ASEAN can accelerate the criterion of Asian integration process. …”
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PageRank of Gluing Networks and Corresponding Markov Chains by Xuqian Ben Han, Shihao Wang, Chenglong Yu

“…By an innovative application of the method of gluing Markov chains, we study the properties of Markov chains and extend their applicability by accounting for the damping factor and the personalization vector. Many properties of Markov chains related to spectrums and eigenvectors of the transition matrix, including the stationary distribution, periodicity, and persistent and transient states, will be investigated as well as part of the gluing process. …”
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Redes comerciales y traslado de herencias entre el Imperio Hispánico y Galicia: Andrés de Losada Sotomayor y los retornos monetarios a Compostela (1744-1790) by Francisco Cebreiro Ares

“…This paper analyses the trajectory of Andres de Losada Sotomayor and his role as agent on the process of transferring the monetary wealth bequeathed by Galician (Spain) origins migrants to their parishes of birth. …”
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