Potential of Graphic Organizers in Developing Communicative Competence in Learning Russian as a Foreign Language by Sharofat T. Chorieva

“…As a result of their use, students learn to transform information into a plan, algorithm, table, diagram; skillfully present educational material in visual and verbal form; use a dialogical form of communication; transform information into a more accessible form for further use in life situations. …”
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Lightweight Neural Network for Centroid Detection of Weak, Small Infrared Targets via Background Matching in Complex Scenes by Xiangdong Xu, Jiarong Wang, Zhichao Sha, Haitao Nie, Ming Zhu, Yu Nie

“…To improve the accuracy of predicted target centroids, a centroid correction algorithm is designed. …”
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Velocity-Constraint Kalman Filtering for Enhanced Bubble Tracking in Motion-Compensated Ultrasound Localization Microscopy by Yifei Zhu, Lingyin Jiang, Qi Zhang, Jun Yin, Bingze Du, Guofeng Zhang, Haijun Zhang, Bo Ding, Han Lin, Honghui Xue, Xiasheng Guo, Xiao-Yang Zhang, Jing-Ning Zhu, Dong Zhang, Juan Tu, Ning Gu

“…Unlike traditional methods relying on observed bubble positions, the proposed algorithm combined statistical information derived from historical data with Kalman-filter-predicted positions to enable more accurate bubble localization. …”
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Development and validation of automated three-dimensional convolutional neural network model for acute appendicitis diagnosis by Minsung Kim, Taeyong Park, Jaewoong Kang, Min-Jeong Kim, Mi Jung Kwon, Bo Young Oh, Jong Wan Kim, Sangook Ha, Won Seok Yang, Bum-Joo Cho, Iltae Son

“…It was analysed using a two-stage binary algorithm with transfer learning. The algorithm predicted three categories: non-, simple, and complicated appendicitis. …”
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The RESOLVE and ECO Gas in Galaxy Groups Initiative: The Group Finder and the Group H i–Halo Mass Relation by Zackary L. Hutchens, Sheila J. Kannappan, Andreas A. Berlind, Mehnaaz Asad, Kathleen D. Eckert, David V. Stark, Derrick S. Carr, Ella R. Castelloe, Andrew J. Baker, Kelley M. Hess, Amanda J. Moffett, Mark A. Norris, Darren Croton

“…We present a four-step group-finding algorithm for the Gas in Galaxy Groups (G3) initiative, a spin-off of the z ∼ 0 REsolved Spectroscopy Of a Local VolumE (RESOLVE) and Environmental COntext (ECO) surveys. …”
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TraxVBF: A hybrid transformer-xLSTM framework for EMG signal processing and assistive technology development in rehabilitation by Seyyed Ali Zendehbad, Athena Sharifi Razavi, Marzieh Allami Sanjani, Zahra Sedaghat, Saleh Lashkari

“…Pre-processing and extracting muscle synergy patterns is performed by the Hierarchical Fast Alternating Least Squares (Fast-HALS) algorithm, and key movement points are identified with the Modified MediaPipe algorithm to capture temporal and spatial dynamics with precision using TraxVBF, which is driven by Extended Long Short-Term Memory (xLSTM) and Transformer architectures. …”
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Inverse Scattering Integrability and Fractional Soliton Solutions of a Variable-Coefficient Fractional-Order KdV-Type Equation by Sheng Zhang, Hongwei Li, Bo Xu

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Multimodal anomaly detection in complex environments using video and audio fusion by Yuanyuan Wang, Yijie Zhao, Yanhua Huo, Yiping Lu

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Management of the business system of the enterprise by O. Grosheleva, M. Ivanova, O. Usatenko

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Simulation of electromagnetic wave scattering on hollow structures with elliptical cross section by V. V. Garbuzov, A. P. Preobrazhensky

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Harnessing the machine learning and nomogram models: elevating prognostication in nonmetastatic gastric cancer with “double invasion” for personalized patient care by Zhenwen Hao, Zhiming Wang, Jinfeng Ma, Yifan Li, Wenbin Zhang

“…Abstract Objective To develop and validate a machine learning framework combined with a nomogram for predicting recurrence after radical gastrectomy in patients with vascular and neural invasion. …”
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A Statistical Approach in Designing an RF-Based Human Crowd Density Estimation System by S. Y. Fadhlullah, Widad Ismail

“…The significant factors were later trained into the H-CDE algorithm for the purpose of estimating the human crowd density in a defined sector. …”
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The dual-edged potential of AI autonomously defining loss functions by Abbas Ghori

“…Abstract A loss function is one of the key components considered in machine learning as they steer the model toward the optimal performance by quantifying the discrepancy between the predicted outcome and the actual outcome. They predominantly act as guiding principles for any optimization algorithm, thereby influencing both the convergence characteristics as well as the generalization of the model. …”
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Reactor modeling and kinetic parameters estimation for diethylbenzene (DEB) dehydrogenation reactions by M.E zeynali, H. Abedini, H. R. Sadri

“…The conversion of DEB and ethylvinyl benzene (EVB) in the reactor was predicted by mathematical modeling and compared with experimental results. …”
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Control strategies for multi-rotor wind turbines by F. Matras, M. Dinhoff Pedersen

“…In contrast to most literature on the topic, the underlying multi-rotor model includes the aerodynamic interactions between rotors. The model predicts that these interactions are central for effective control of multi-rotor wind turbines under some conditions. …”
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Digit recognition using decimal coding and artificial neural network by Toufik Datsi, Khalid Aznag, Ahmed El Oirrak

“…The backpropagation algorithm was used for the training dataset and feed-forward for the testing dataset. …”
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Fuzzy Pheromone Potential Fields for Virtual Pedestrian Simulation by Meriem Mandar, Azedine Boulmakoul

“…In a previous work, we developed a microscopic model for pedestrian movement based on the algorithm of Ant Colonies and the principles of cellular automata. …”
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Machine Learning and Data Science in Social Sciences: Methods, Applications, and Future Directions by Elias Dritsas, Maria Trigka

“…While these tools enhance analytical capacity, they raise critical concerns about algorithmic bias, transparency, and ethical accountability. …”
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Identification of plankton habitats in the North Sea by Rene‐Marcel Plonus, Jens Floeter

“…Plankton distributions are closely linked to climate change and shape the seascape for higher trophic levels, so monitoring plankton distributions and defining ecological niches will help to understand and predict ecosystem responses. Here we apply a machine learning autoencoder and a density‐based clustering algorithm to high‐frequency datasets sampled with a ROTV Triaxus in the North Sea. …”
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APOPTOSIS IN CITY SYSTEMS: A BIOMIMETIC APPROACH TO CITY REGENERATION by Stephen Ajadi

“…Aided with streamlined programmatic principles, computational and algorithmic design, city systems are studied in an African context. …”
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