Hybrid CNN-LSTM With Attention Mechanism for Robust Credit Card Fraud Detection by Iman Akour, Nour Mohamed, Said Salloum

“…Our hybrid CNN-LSTM-Attention model improves fraud detection by addressing both spatial and temporal data features while dynamically focusing on critical elements. …”
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AI Chatbots for Psychological Health for Health Professionals: Scoping Review by Gumhee Baek, Chiyoung Cha, Jin-Hui Han

“…Usability was evaluated in six studies through participant feedback and engagement metrics. Improvements in anxiety, depression, and burnout were observed in four studies, although one reported an increase in depressive symptoms. …”
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Deep Learning Models for Rotated Object Detection in Aerial Images: Survey and Performance Comparisons by Jiaying He, K. L. Eddie Law

“…Lately, through different deep learning model developments, there are noticeable improvements on the detection of rotated objects in images. …”
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Machine-learning of medical cannabis chemical profiles reveals analgesia beyond placebo expectations by Adi Hatav, Yelena Vysotski, Anna Shapira, Shiri Procaccia, David Meiri, Dvir Aran

“…Model robustness was evaluated using six additional machine learning algorithms. Results Here we show that incorporating chemical composition markedly improves the prediction of pain relief (AUC = 0.63 ± 0.10) compared to models using only demographic and clinical features (AUC = 0.52 ± 0.09; p < 0.001). …”
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GE-YOLO for Weed Detection in Rice Paddy Fields by Zimeng Chen, Baifan Chen, Yi Huang, Zeshun Zhou

“…Therefore, we propose GE-YOLO to identify three common types of weeds in rice fields in the Hunan province of China and to validate its generalization performance. GE-YOLO is an improvement based on the YOLOv8 baseline model. It introduces the Neck network with the Gold-YOLO feature aggregation and distribution network to enhance the network’s ability to fuse multi-scale features and detect weeds of different sizes. …”
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Diagnostic Analysis of Crosswalk Safety Hazards in Pedestrian Environments: A SHAP-Enhanced Machine Learning Approach With Street-View Imagery by Caryl Anne M. Barquilla, Jeongwoo Lee

“…The findings imply that to address particular combinations of built environment elements that increase the risk of crosswalk crashes, policy and planning initiatives should concentrate on context-sensitive interventions, particularly by placing bus stops strategically, maintaining tree canopies for visibility, clearing visual clutter, and improving pedestrian infrastructure.…”
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Failure Management Overview in Optical Networks by Sergio Cruzes

“…LLMs significantly advance network management by improving network design, diagnosis, security, and autonomous optimization through the integration of comprehensive domain resources and intelligent agents. …”
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Psoriatic arthritis screening: A systematic literature review and experts' recommendations. by Ana Urruticoechea-Arana, Diego Benavent, Fernando León, Raquel Almodovar, Isabel Belinchón, Pablo de la Cueva, Cristina Fernández-Carballido, Estíbaliz Loza, Jordi Gratacós, Cribado Working Group

“…<h4>Conclusions</h4>The implementation of PsA screening tools like the PURE-4 questionnaire in daily practice likely improves the prognosis of PsA patients.…”
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Application of LiDAR and SLAM Technologies in Autonomous Systems for Precision Grapevine Pruning and Harvesting by Obaid Saif, Mohammed G., Nagaraju Krishna Chythanya

“…LiDAR produces detailed 3D vineyard maps that integrate with SLAM algorithms for accurate navigation, ensuring efficient local and global information relay. …”
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Identification of reference genes for RT-qPCR in the Antarctic moss Sanionia uncinata under abiotic stress conditions. by Mira Park, Soon Gyu Hong, Hyun Park, Byeong-Ha Lee, Hyoungseok Lee

“…The reference genes validated in this study will be useful for improving the accuracy of RT-qPCR analysis for gene expression studies of S. uncinata in Antarctica and for further functional genomic analysis of bryophytes.…”
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Color image reversible data hiding based on adaptive capacity allocation and pixel value similarity distance sorting by Ningxiong Mao, Chunping Ouyang, Yaping Wan, Lingfeng Qu, Yuan Yuan

“…Abstract Most existing reversible data hiding (RDH) algorithms for color images adopt a fixed-ratio capacity allocation approach, often resulting in allocation errors. …”
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Detection of kidney bean leaf spot disease based on a hybrid deep learning model by Yiwei Wang, Qianyu Wang, Yue Su, Binghan Jing, Meichen Feng

“…The innovations of this study lie in the construction of a high-quality KBLD dataset and the development of a novel framework combining deep learning and machine learning, significantly improving the detection efficiency and accuracy of kidney bean leaf spot disease. …”
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Modern scientific and clinical developments in the treatment of malignant neoplasms of the upper gastrointestinal tract: results of ASCO-2022 by D. A. Andreev, A. A. Zavyalov

“…The development, standardization and algorithmization of medical methodologies for drug treatment of cancer aimed at improving the quality of oncological care is underway. …”
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Chemoreactomic study of fonturacetam effects: molecular mechanisms of influence on adipose tissue metabolism by O. A. Gromova, I. Yu. Torshin

“…Due to these mechanisms fonturacetam will contribute to normalizing appetite and improving adipose tissue metabolism. The total lipolytic effect score was calculated for all established interactions with receptors and amounted to 4.3±0.9 for fonturacetam, 3.0±1.4 for pramiracetam, and 2.5±1.5 for all other molecules.Conclusion. …”
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Enhanced Retinal Vessel Segmentation Using Dynamic Contrast Stretching and Mathematical Morphology on Fundus Images by El-Mehdi Chakour, Yasmine Mrad, Anass Mansouri, Yaroub Elloumi, Idriss Benatiya Andaloussi, Mohamed Hedi Bedoui, Ali Ahaitouf

“…Retinal vessel segmentation algorithms are crucial in automated retinal disease screening systems, as accurate determination of blood vessel structures is vital for ocular disease identification and diagnosis. …”
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Hardware-software simulator for modeling indoor temperature and humidity processes by О.M. Yevseienko

“…This makes it a reliable tool for forecasting and optimizing the operation of the object, which is important for further improvement of the control system.…”
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DEVELOPMENT OF A SOFTWARE MODULE FOR OPERATIONAL DISPATCH CONTROL OF PRODUCTION BASED ON CYBER-PHYSICAL CONTROL SYSTEMS by Igor Nevliudov, Vladyslav Yevsieiev, Nataliia Demska, Sergiy Novoselov

“…Conclusions: the proposed models and methods will not only automate the process of managing the development of CPPS from scratch, but will also make it possible to automate the process of managing the development of the cybernetic component for the modernization and improvement of existing CPPS.…”
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Personal health data protection and intelligent healthcare applications under generative adversarial network by Xiaoyuan Gao, Wei Mi, Xirui Feng

“…Additionally, the model’s accuracy gradually improves as the privacy budget increases. When a privacy budget is 3.0, DP-GAN-HD achieves its peak, performing nearly identically to real data. …”
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Gastric duplication in infants by O. V. Spakhi, O. V. Liaturynska, M. O. Makarova, I. O. Anikin, A. H. Zaporozhchenko

“…Purpose of the work. Improvement of the diagnostic and treatment tactic in infants with gastric duplication. …”
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A patient with osteoarthritis at an outpatient appointment. Unresolved problems by Yu. A. Lushpaeva

“…After 2 courses (within a year) of treatment with a drug based on a bioactive concentrate of small marine fish, 67% of patients with osteoarthritis of the knee joints were satisfied with the effect of therapy, noting a decrease in pain intensity, an improvement in knee joint function and quality of life. …”
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