CRITERIA FOR REHABILITATION OF FACILITIES AND TERRITORIES CONTAMINATED WITH RADIONUCLIDES AS A RESULT OF PAST ACTIVITIES: PART 1. THE CHOICE OF INDICATORS FOR JUSTIFICATION OF THE... by I. K. Romanovich, I. P. Stamat, N. I. Sanzharova, A. V. Panov

“…The article examines issues of rehabilitation of facilities and territories contaminated by the man-made and natural radionuclides as a result of past activities of enterprises of nuclear and non-nuclear industries. …”
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A Review of the Application of Artificial Intelligence in Climate Change-Induced Flooding—Susceptibility and Management Techniques by Adekunle Olorunlowo David, Julius Musyoka Ndambuki, Mpho Muloiwa, Williams Kehinde Kupolati, Jacques Snyman

“…To classify the many technologies that have been studied, a framework for classification has been provided for flood management. …”
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MedAlmighty: enhancing disease diagnosis with large vision model distillation by Yajing Ren, Zheng Gu, Wen Liu

“…This approach offers a promising solution to data scarcity and domain gap issues in medical imaging. Future work may explore extending this distillation strategy to other medical modalities and incorporating multimodal alignment for even richer representation learning.…”
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Hyaluronidase: structure, mechanism of action, diseases and therapeutic targets by Jiamin Lu, Zheng Zhao, Lingli Pan, Hui Wu, Shibing Wang, Xiangmin Tong, Shenghao Wu

“…This review systematically elucidates the classification, biological sources, structural diversity, and catalytic mechanisms of HAase, emphasizing its dynamic involvement in disease pathogenesis and diagnostic potential. …”
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Federated LeViT-ResUNet for Scalable and Privacy-Preserving Agricultural Monitoring Using Drone and Internet of Things Data by Mohammad Aldossary, Jaber Almutairi, Ibrahim Alzamil

“…This study proposes a lightweight, hybrid deep learning architecture called federated LeViT-ResUNet that combines the spatial efficiency of LeViT transformers with ResUNet’s exact pixel-level segmentation to address these issues. The system uses multispectral drone footage and IoT sensor data to identify real-time insect hotspots, crop health, and yield prediction. …”
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Medical Image Segmentation Algorithm Based on Optimized Convolutional Neural Network-Adaptive Dropout Depth Calculation by Feng-Ping An, Jun-e Liu

“…Traditional machine learning methods have achieved certain beneficial effects in medical image segmentation, but they have problems such as low classification accuracy and poor robustness. Deep learning theory has good generalizability and feature extraction ability, which provides a new idea for solving medical image segmentation problems. …”
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Patent Activity of Countries and Sectors in Graphene-Based Technologies by Piotr Nawrocki

“…Research limitations: The research limitations stem from the quality of patent data, which does not always reflect the full scope of research and development activity. Issues may arise from classification errors, inconsistencies in name standardization, transcription errors, and data incompleteness, all of which may affect the accuracy of the analysis results. …”
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A Comprehensive Review of Deep Learning Applications in Cotton Industry: From Field Monitoring to Smart Processing by Zhi-Yu Yang, Wan-Ke Xia, Hao-Qi Chu, Wen-Hao Su, Rui-Feng Wang, Haihua Wang

“…This review highlights DL applications in seed quality assessment, pest and disease detection, intelligent irrigation, autonomous harvesting, and fiber classification et al. DL enhances accuracy, efficiency, and adaptability, promoting the modernization of cotton production and precision agriculture. …”
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Evaluation of an innovative logistics system based on the logistics efficiency index by Vilayat Ismaуilov, Andrii Karpenko

“…The article also provides classification features, types of logistic innovations and synthesis of basic and innovative logistics. …”
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Short-term and long-term changes in seizure frequency and neurocognitive status in pediatric patients after surgery for mixed neuronal-glial brain tumors by L. A. Gorlova, O. O. Shmeleva, E. V. Fedorov, A. V. Kim, Yu. V. Dinikina, W. A. Khachatryan, K. A. Samochernykh

“…During the postoperative period, 84% of patients were found to be seizure-free; 42.6% demonstrated no clinically relevant behavioral disturbances or social adaption issues after the surgery. However, 76% of children experienced poor concentration. …”
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Human-Oriented Approach in Forming of Key Competences of Civil Servants in the Conditions of Digital Transformation of the Economy by E. V. Vasilieva, V. N. Pulyaeva, V. A. Yudina

“…The article is devoted to the issues of applying a human-focused approach in determining the competencies of civil servants and the directions of their qualifications development. …”
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Autobiographical Memory: A Scoping Meta-Review of Neuroimaging Data Enlightens the Inconsistencies Between Theory and Experimentation by Edoardo Donarelli, Cristina Civilotti, Giulia Di Fini, Gabriella Gandino, Alessia Celeghin

“…Neural data about EAM were analyzed via mean rank classification, finding the most relevant areas in the posterior cingulate cortex, hippocampus, precuneus, temporo-parietal junction, angular gyrus, and medial prefrontal cortex. …”
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Systematic review of AI/ML applications in multi-domain robotic rehabilitation: trends, gaps, and future directions by Giovanna Nicora, Samuele Pe, Gabriele Santangelo, Lucia Billeci, Irene Giovanna Aprile, Marco Germanotta, Riccardo Bellazzi, Enea Parimbelli, Silvana Quaglini

“…Our analysis also reveals pitfalls in the current use of AI/ML in this area, such as potential explainability issues and poor generalization ability when these systems are applied in real-world settings.…”
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Verbal Aggression: Linguistic and Legal Aspect by N. I. Yelnikova, O. H. Yushkevych

“…The article also deals with the issues of enshrining verbal offences in the criminal and administrative legislation of Ukraine. …”
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An Unsupervised Integrated Framework for Arabic Aspect-Based Sentiment Analysis and Abstractive Text Summarization of Traffic Services Using Transformer Models by Alanoud Alotaibi, Farrukh Nadeem

“…To tackle these challenges, we suggest an integrated framework combining unsupervised BERTopic-based Aspect Category Detection with distance supervision using a fine-tuned CAMeLBERT model for sentiment classification. This is further complemented by transformer-based summarization through a fine-tuned AraBART model. …”
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A Viable University: Foresight, Logframe, Lifestyle and Risks by I. N. Zimin, V. M. Kartvelishvili

“…The study continues the study of the fundamental characteristics of models of viable systems conducted by the authors. The current issues of construction, reorganization and preservation of the life-incapable structure of a higher educational institution - university U, representing a recursive active subsystem of the educational environment, which is part of the universe-society, are considered. …”
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Spatial-Spectral Adaptive Graph Convolutional Subspace Clustering for Hyperspectral Image by Yuqi Liu, Enshuo Zhu, Qinghe Wang, Junhong Li, Shujun Liu, Yaowen Hu, Yuhang Han, Guoxiong Zhou, Renxiang Guan

“…Graph convolution subspace clustering has been widely used in the field of hyperspectral image (HSI) unsupervised classification due to its ability to aggregate neighborhood information. …”
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BACAD: AI-based framework for detecting vertical broken access control attacks by Ahmed Anas, Ayman A. Alhelbawy, Salwa El Gamal, Basheer Youssef

“…Vertical Broken Access Control (VBAC) vulnerability is one of the most commonly identified issues in web applications, posing significant risks. …”
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Towards generalizable machine learning prediction of downskin surface roughness in laser powder bed fusion by Jigar Patel, Mihaela Vlasea, Sagar Patel

“…Additionally, this study highlights critical issues such as data imbalance, generalization to unseen data, and the importance of rigorous evaluation. …”
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Spatial orientation tasks show moderate to high accuracy for the diagnosis of mild cognitive impairment: a systematic literature review by Raquel Quimas Molina da Costa, José Eduardo Pompeu, Larissa Alamino Pereira de Viveiro, Sonia Maria Dozzi Brucki

“…However, important methodological issues were found in the selected studies which should be considered when interpreting results. …”
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