TopoRSNet: A Unique Approach to Maintaining Topological Features for Digital Rock Image Rescaling With Minimal Quality Degradation by Kunning Tang, Yufu Niu, Ying DaWang, Vanessa Robins, Peyman Mostaghimi, Mark Lindsay, Ryan T. Armstrong

“…Abstract The composition, microstructure, and physical behavior of rock at the core‐to‐pore scale are commonly visualized and characterized using 3D X‐ray microcomputed tomography (micro‐CT). …”
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Using machine learning to reveal seasonal nutrient dynamics and their impact on chlorophyll-a levels in lake ecosystems: A focus on nitrogen and phosphorus by Yong Fang, Ruting Huang, Xianyang Shi

“…Furthermore, we focus on the application of three machine-learning models (i.e., eXtreme Gradient Boosting, Support Vector Machines, and Naive Bayes Classifier) to analyze the seasonal nutrient dynamics in lake ecosystems. …”
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RELATIONSHIP BETWEEN INTERNAL PRESSURE AND CAVITY VOLUME CHANGE BASED ON LIQUID IMPACT LOADING TO BIMETALLIC THIN-WALLED TUBES by LIU JianWei, SUN ChangYing, LI YuHan, YAO XinQi, FAN XiangWen

“…Through comparison of numerical simulation and theoretical analysis,it is not difficult to find that they were a good consistency,and the internal pressure model is optimized by the model error revision,which lays a good theoretical and application basis for further research on LIF of bimetallic thin-walled tubes.…”
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Fully-Gated Denoising Auto-Encoder for Artifact Reduction in ECG Signals by Ahmed Shaheen, Liang Ye, Chrishni Karunaratne, Tapio Seppänen

“…While our model performs best compared with other models tested in this study, more improvements are needed for optimal morphological preservation, especially in the presence of electrode motion artifacts.…”
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Fractal Characterization of Pore Structures in Marine–Continental Transitional Shale Gas Reservoirs: A Case Study of the Shanxi Formation in the Ordos Basin by Jiao Zhang, Wei Dang, Qin Zhang, Xiaofeng Wang, Guichao Du, Changan Shan, Yunze Lei, Lindong Shangguan, Yankai Xue, Xin Zhang

“…Characteristics of pore structure is primarily controlled by TOC content and mineral composition. These findings provide a quantitative basis for evaluating shale reservoir quality, understanding gas storage mechanisms, and optimizing strategies for sustainable of oil and gas development in marine–continental transitional shales.…”
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Physical Classification of Soybean Grains Based on Physicochemical Characterization Using Near-Infrared Spectroscopy by Marisa Menezes Leal, Nairiane dos Santos Bilhalva, Rosana Santos de Moraes, Paulo Carteri Coradi

“…It is concluded that the NIR method combined with multivariate modeling allows for the rapid assessment of soybean grain quality in real time, optimizing, reducing waste in, and increasing the efficiency of post-harvest processes.…”
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Light-activated decellularized extracellular matrix-based bioinks for enhanced mechanical integrity by Minji Kim, Dayoon Kang, Hohyeon Han, Jinah Jang

“…Decellularized extracellular matrix (dECM)-based bioinks have emerged as key materials in tissue engineering and 3D bioprinting technologies due to their ability to closely mimic the biochemical composition and structural organization of native extracellular matrices. …”
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Data-driven electrochemical behavior prediction for refractory high-entropy alloys by global and focused learning by Xinpeng Zhao, Haiyou Huang, Yanjing Su, Lijie Qiao, Yu Yan

“…Through compositional optimization, a series of RHEAs with high corrosion resistance, such as Ti20V10Nb20Mo20Ta30, have been obtained. …”
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Artificial intelligence techniques by Ahmad Gholizadeh, Ali Shabani

“…The AI model exhibited strong predictive capabilities, providing a data-driven approach to optimize photocatalytic performance more efficiently than conventional experimental methods. …”
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Combined Continuous Resin Adsorption and Anaerobic Digestion of Olive Mill Wastewater for Polyphenol and Energy Recovery by Chaimaa Hakim, Mounsef Neffa, Abdessadek Essadek, Audrey Battimelli, Renaud Escudie, Diana García-Bernet, Jérôme Harmand, Hélène Carrère

“…Olive mill wastewater (OMWW) has high energetic potential due to its organic load, but its complex composition and toxicity limit efficient energy recovery. …”
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Experimental and machine learning based analysis of pervious concrete enhanced with fly ash and silica fume by Siva Shanmukha Anjaneya Babu Padavala, Siva Avudaiappan, Venkatesh Noolu

“…Machine learning (ML) models were also created in order to predict compressive strength based on mix composition and curing age using Orange Data Mining software version 3.36. …”
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Surface adsorption of malachite green dye from aqueous solution using novel synthesized adsorbent ZnO, Zn1-xFexO and Zn1-xCuxO nanoparticles by Masome Naseri Tekyeh, Dariush Mehrparvar, Rostam Moradian, Shahriar Mahdavi

“…The excellent fit of the Temkin and Langmuir isotherm models suggests that the adsorption process involves both adsorbate-adsorbent interactions and monolayer adsorption onto a homogeneous surface. …”
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PURIFICATION OF CONSTRUCTION MATERIALS OF SPENT FUEL ASSEMBLIES BY COLD CRUCIBLE INDUCTION MELTING by M. Yu. Kalenova, A. V. Dmitrieva, I. V. Kuznetsov, А. М. Koscheev, O. E. Budin, A. S. Schepin

“…The bottom product is destructurized particulate with the composition corresponding to original steel. Actinides steel shell and bottom product contamination was predicted using computer modeling. …”
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University proceedings. Volga region. Social sciences by A.D. Gulyakov, A.Yu. Salomatin

“…The article analyzes the difficulties of federalization on the southern borders of the Eurasian power, where in Transcaucasia, the North Caucasus, the Don and Kuban, various models of incorporation of territories into the USSR were used. …”

Spatial and temporal variability of snow accumulation on the Western plateau of Elbrus (Central Caucasus) by I. I. Lavrentiev, S. S. Kutuzov, V. N. Mikhalenko, M. S. Sudakova, A. V. Kozachek

“…The data obtained were used in 2018 to determine the optimal location for deep core drilling and will further serve as the basis for modeling the age of ice on the Western Plateau of Elbrus.…”
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EVOLUTIONS OF GROUP MANAGEMENT DEVELOPMENT OF MOBILE ROBOTIC PLATFORMS IN WAREHOUSING 4.0. by Ігор Шакирович Невлюдов, Владислав В’ячеславович Євсєєв, Олександр Миколайович Клименко, Наталія Павлівна Демська, Максим Олегович Вжеснєвський

“…This suggests that the introduction of new models and methods of managing complex warehouses with high density and chaotic storage of products, through the use of mobile robotic autonomous systems, will significantly optimize the process of supply chain management in Smart Manufacturing.…”
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Optimisation of phytoremediation of zinc ion by Lemnaceae using response surface methodology by Tai Jia Wei, Pang Yean Ling, Lim Steven, Chong Woon Chan

“…The efficiency of zinc ion removal through phytoremediation by Lemnaceae as a function of Lemnaceae species, the mass of duckweed and the initial zinc ion concentration was studied. The central composite design was applied for surface response modelling to analyse the effects of the combination of environmental factors and optimise the phytoremediation process. …”
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Coordinating yield and quality formation of wheat through post-anthesis nitrogen spraying by Jie Ren, Haoran Li, Chunsheng Yao, Zhen Zhang, Zhimin Wang, Zhigan Zhao, Zhencai Sun, Xubo Zhang, Yinghua Zhang

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Predicting drug-target interactions using machine learning with improved data balancing and feature engineering by Md. Alamin Talukder, Mohsin Kazi, Ammar Alazab

“…To address data imbalance, Generative Adversarial Networks (GANs) are employed to create synthetic data for the minority class, effectively reducing false negatives and improving the sensitivity of the predictive model. The Random Forest Classifier (RFC) is utilized to make precise DTI predictions, optimized for handling high-dimensional data. …”
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METAB‐HTX: prospective, longitudinal cohort study evaluating cardiac and systemic metabolism after heart transplantation by Amin Polzin, Daniel Scheiber, Fabian Voss, Jean Haurand, Elric Zweck, Daniel Oehler, Oliver Maier, Mareike Cramer, Maximilian Spieker, Constanze Moos, Ursala Tokhi, David Naguib, Philipp Mourikis, Marcel Benkhoff, Robert Wagner, Michael Roden, Heinz‐Peter Schultheiss, Sascha Dietrich, Hug Aubin, Udo Boeken, Artur Lichtenberg, Malte Kelm

“…Metabolic alterations will be investigated by (i) glucometabolic phenotyping including serial oral glucose tolerance tests, homeostasis model assessment, T2D endotyping, and muscle biopsies in selected cases; (ii) lipid disorders will be evaluated by classical lipid measurements in combination with evaluation of HDL function, plasma membrane lipid composition, fluidity analyses of circulating cells and MRI/MRS for adipose tissue distribution, and ectopic fat analysis. …”
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