Results of trawl counts for juvenile pink salmon in the Bering and Okhotsk Seas in 2024 and prospects for the returns and catch in the Karaginsky subzone and Okhotsk Sea in 2025 by A. A. Somov, E. A. Shevlyakov, A. N. Starovoitov, V. A. Shevlyakov, I. V. Melnikov

“…Abundance in «northern» and «southern» regional complexes of local stocks is estimated for pink salmon in the Okhotsk Sea using cluster analysis with the expectation-maximization algorithm (EM clustering); the «northern» group prevailed with the ratio 64:36 %.…”
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Understanding the evolutionary processes and causes of groundwater drought using an interpretable machine learning model by Zhiyuan Gan, Xianjun Xie, Chunli Su, Weili Ge, Hongjie Pan, Liangping Yang

“…We employed machine learning models and the Shapley Additive Explanation (SHAP), a game theory-based interpretability method, to understand and predict the evolution of groundwater drought by evaluating eight models with SHAP analysis in the West Liao River Plain (WLRP), with a semi-arid climate. The research showed: (1) The XGBoost model, optimized by the Sparrow Search Algorithm (SSA), achieved the highest performance (AUC: 0.922, F1-score: 0.84). (2) SHAP analysis revealed that the Standardized Precipitation Evapotranspiration Index (SPEI) at 12- and 24-month scales (SPEI12 and SPEI24) were key predictors, with long-term meteorological drought causing delayed groundwater drought, exacerbated by over-extraction and urbanization. …”
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Robust Line Feature Matching via Point–Line Invariants and Geometric Constraints by Chenyang Zhang, Yunfei Xiang, Qiyuan Wang, Shuo Gu, Jianghua Deng, Rongchun Zhang

“…Line feature matching is a crucial aspect of computer vision and image processing tasks, attracting significant research attention. Most line matching algorithms predominantly rely on local feature descriptors or deep learning modules, which often suffer from low robustness and poor generalization. …”
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Node Classification Method Based on Hierarchical Hypergraph Neural Network by Feng Xu, Wanyue Xiong, Zizhu Fan, Licheng Sun

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Prototype multi-agent robotic debris removal system: principles of development and experimental studies by S. V. Manko, V. M. Lokhin, S. A. K. Diane

“…The principles of development, architecture, and composition are described for the software and algorithms of a prototype of the multi-agent robotic system created at RTU MIREA as part of integrated research for the creation of tools and methods of group control of robots. …”
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FCA-STNet: Spatiotemporal Growth Prediction and Phenotype Extraction from Image Sequences for Cotton Seedlings by Yiping Wan, Bo Han, Pengyu Chu, Qiang Guo, Jingjing Zhang

“…To address the limitations of the existing cotton seedling growth prediction methods in field environments, specifically, poor representation of spatiotemporal features and low visual fidelity in texture rendering, this paper proposes an algorithm for the prediction of cotton seedling growth from images based on FCA-STNet. …”
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Detection of AI-Generated Texts: A Bi-LSTM and Attention-Based Approach by John Blake, Abu Saleh Musa Miah, Krzysztof Kredens, Jungpil Shin

“…This underscores the urgent need for robust detection mechanisms to ensure information quality, maintain trust, and preserve the integrity of research publications. Our proposed model outperformed existing algorithms for accuracy with less computational complexity. …”
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Human resources in a healthcare institution as the management efficacy improvement factor by A. V. Kukurika

“…The article analyzes the current HR of the local healthcare organization. There was carried a SWOT-analysis of personnel management has been out, disclosed the main problems of the management system of a medical institution. …”
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Hand-aware graph convolution network for skeleton-based sign language recognition by Juan Song, Huixuechun Wang, Jianan Li, Jian Zheng, Zhifu Zhao, Qingshan Li

“…Skeleton-based sign language recognition (SLR) is a challenging research area mainly due to the fast and complex hand movement. …”
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Progressive multi-scale multi-attention fusion for hyperspectral image classification by Hu Wang, Sixiang Quan, Jun Liu, Hai Xiao, Yingying Peng, Zhihui Wang, Huali Li

“…The effective extraction of features using deep neural networks, followed by the design of efficient and high-precision network algorithm structures, has gradually become a research hotspot. …”
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Vectorized building rooftop prints of the Qinghai-Tibetan Plateau and its neighboring regions by Tao Ye, Hongyu Shan, Jidong Wu, Qiang Zhou, Mingfu Ma, Wenzhi Zhao, Ru Ya, Yuan Gao, Lizheng Wu

“…Abstract Large-scale high-precision building distribution data is important fundation for regional urban planning and resource allocation and disaster risk research. The Qinghai-Tibetan Plateau is the third pole of the world. …”
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CeiTEA: Adaptive Hierarchy of Single Cells with Topological Entropy by Bowen Tan, Shiying Li, Mengbo Wang, Shuai Cheng Li

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Phenotypic variation in otolith shape of American shad across eastern North American rivers by Joana Vasconcelos, Karin E. Limburg, José Luis Oterro-Ferrer, Víctor M. Tuset

“…Using a wavelet transform framework based on the à trous algorithm and B3-spline wavelet, we quantified otolith shape variability and assessed its effectiveness for population discrimination. …”
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SwinFishNet: A Swin Transformer-based approach for automatic fish species classification using transfer learning. by Ebru Ergün

“…The ST's unique ability to capture both local and global features through its hierarchical structure enhances its effectiveness in complex image classification tasks. …”
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MODELS OF STRATEGIC COMMUNICATION FOR ENSURING SOCIAL COHESION IN DE-OCCUPIED REGIONS by Tetiana Lushahina

“…At the same time, such a model may be based on a unified recovery algorithm that provides a general framework for communication strategies and is further adapted to the specific needs, values, and context of each individual community.…”
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ASV (Amplicon Sequence Variant) taxonomic affiliation analysis of <i>Cryptosporidium scrofarum</i> species in pigs in the Vologda Region, the Northwestern Federal District of the R... by A. L. Kryazhev, A. S. Novikov

“…The research has been conducted in the Russian Federation for the first time. …”
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Optimising the Selection of Input Variables to Increase the Predicting Accuracy of Shear Strength for Deep Beams by Mohammed Majeed Hameed, Faidhalrahman Khaleel, Mohamed Khalid AlOmar, Siti Fatin Mohd Razali, Mohammed Abdulhakim AlSaadi

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Surfel-based lightweight LiDAR-inertial SLAM system for UAV pose estimation by LIU Chang, ZHAO Zixu, SHANG Yuanfeng, QIU Dawei, SHI Jinglin, LIU Jie, JIANG Ji

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Impact of extratropical cyclones on coastal circulation in a semi-enclosed bay within the Humboldt Current System by J. Contreras-Rojas, J. Contreras-Rojas, J. Contreras-Rojas, P. Mardones, M. Sobarzo, M. Sobarzo, M. Sobarzo, M. Sobarzo

“…Additionally, the main modes of subtidal current variability were compared with the local wind through coherence wavelets, revealing a direct influence of cyclones on the modulation of the gulf's currents. …”
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Phase-dependent closed-loop deep brain stimulation of the fornix provides bidirectional manipulation of hippocampal theta oscillations by Isaac Grennan, Brook Perry, Anna Verghese, Melissa Jones, Oliver Härmson, Colin G. McNamara, Andrew Sharott

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