The Role of Open-Source Data in Disaster Preparedness and Response. A Case Study on Flood Impact in Local Communities by A. Oyetunde, G. Neziri

“…The methodology integrates multi-temporal analysis of high-resolution satellite imagery over a six-year period to detect land cover changes and assess flood risk dynamics. …”
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Improving lung cancer pathological hyperspectral diagnosis through cell-level annotation refinement by Zhiliang Yan, Haosong Huang, Rongmei Geng, Jingang Zhang, Yu Chen, Yunfeng Nie

“…Abstract Lung cancer remains a major global health challenge, and accurate pathological examination is crucial for early detection. This study aims to enhance hyperspectral pathological image analysis by refining annotations at the cell level and creating a high-quality hyperspectral dataset of lung tumors. …”
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Chemometric and computational modeling of polysaccharide coated drugs for colonic drug delivery by Ahmad Khaleel AlOmari, Khaled Almansour

“…The dataset, consisting of 155 data points with over 1500 spectral features, underwent preprocessing involving normalization, Principal Component Analysis (PCA) for dimensionality reduction, and outlier detection using Cook’s Distance. …”
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Pest Identification and Counting of Yellow Plate in Field Based on Improved Mask R-CNN by Minxi Rong, Zhizheng Wang, Bin Ban, Xiaoli Guo

“…The results of the experimental analysis of 1000 sample images show that the improved Mask R-CNN model has a recognition and detection accuracy of 99.4%, which is 2.7% higher than that of the unimproved Mask R-CNN model. …”
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A study of the relationship between cough and wheezing complicated by common respiratory viral infections in infants and secondary thrombocythemia. by Ping He, Fangqi Hu, Fei Wang

“…Respiratory viruses were detected using real-time PCR to screen for virus-positive infants. …”
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Toward Hand Gesture Recognition Using a Channel-Wise Cumulative Spike Train Image-Driven Model by Yang Yu, Zeyu Zhou, Yang Xu, Chen Chen, Weichao Guo, Xinjun Sheng

“…Additionally, we conducted an experiment involving 10 gestures and 10 subjects and compared the proposed method with 2 root-mean-square (RMS)-based approaches and a cw-CST-based approach, namely, RMS-image-driven convolutional neural network classification model, RMS feature with linear discrimination analysis classifier, and cw-CST discharge rate feature with linear discrimination analysis classifier. …”
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Identification of predictive markers in the cerebrospinal fluid of patients with glioblastoma by N. E. Arnotskaya, T. I. Kushnir, I. A. Kudryavtsev, A. A. Mitrofanov, A. Kh. Bekyashev, V. E. Shevchenko

“…The management of GB is based solely on histopathological features, imaging of the tumor and its genomic analysis (somatic mutations in the isocitrate dehydrogenase genes, methylation status of the O6-methylguanine-DNA methyltransferase gene promoter). …”
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Ophthalmic corticosteroids-related adverse events: the FDA adverse event reporting system (FAERS) database pharmacovigilance study by Chengzhi Liu, Xinyu Wang, Xusheng Cao

“…Clinical features such as gender, age, administration route, and dosage form were also analyzed. …”
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General manifestation of tick-borne infections in the Amur region of Russia during 2014-2023 by Mrs Ekaterina Burdinskaya, Mrs Yulia Natykan, Mrs Olga Kurganova, Mrs Natalia Pshenichnaya, Mrs Anna Dragomeretskaya, Mrs Olga Trotsenko, Ms Vadim Melnik

“…Aim: analyze several features of epidemiological manifestations of tick-borne infections in the Amur region. …”
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Improving T2D machine learning-based prediction accuracy with SNPs and younger age by Cynthia AL Hageh, Andreas Henschel, Hao Zhou, Jorge Zubelli, Moni Nader, Stephanie Chacar, Nantia Iakovidou, Haralampos Hatzikirou, Antoine Abchee, Siobhán O’Sullivan, Pierre A. Zalloua

“…Results: The inclusion of genomic data modestly improved model performance across all algorithms in the discovery dataset. Clinical features such as family history of T2D and hypertension consistently ranked as top features. …”
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Clinico-genealogical investigation of antiphospholipid syndrome by N N Chapaeva, M A Trifonova

“…These features were found in more than half relatives. LA was detected in 39% of relatives. …”
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Characteristics of 18F-FAPI-04 PET/CT in patients with peritoneal metastasis and to predict treatment efficacy, a head-to-head comparison with 18F-FDG PET/CT by Yafei Zhang, Mimi Xu, Yu Wang, Fang Yu, Xinxin Chen, Guangfa Wang, Kui Zhao, Hong Yang, Xinhui Su

“…Abstract Background 18F-FAPI-04 PET/CT shows promise in detecting peritoneal metastases (PM), but its superiority over 18F-FDG PET/CT for lesion detection and predicting chemotherapy benefit remains unclear. …”
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The Role of Artificial Intelligence in Boosting Cybersecurity and Trusted Embedded Systems Performance: A Systematic Review on Current and Future Trends by Ahmed Oun, Kaden Wince, Xiangyi Cheng

“…The key findings of our review indicate that AI significantly enhances security measures by enabling capabilities such as detection, classification, feature selection, data privacy preservation, model combination, data generation, output interpretation, optimization, and adaptation. …”
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Prediction of weld quality in laser welding of hardmetal and steel using high-speed imaging and machine learning methods by Mohammadhossein Norouzian, Mahan Khakpour, Marko Orosnjak, Atal Anil Kumar, Slawomir Kedziora

“…Analysis of individual image plume frames from HSI reveals distinct statistical features that are identified as unique to each welding condition. …”
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Movie Genre Classification Based on Poster and Subtitles Using Hybrid Combination of Convolutional Neural Networks by Yuxiang Zhang

“…Automatic genre detection in movies is an important and catchy topic that can be used in many applications and contexts by different industries, such as personal development systems, database management, content analysis systems, and marketing and advertising systems. …”
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Profiles of physician follow-up care, correlates and outcomes among patients affected by an incident mental disorder by Marie-Josée Fleury, Louis Rochette, Zhirong Cao, Guy Grenier, Victoria Massamba, Alain Lesage

“…Latent class analysis was performed to identify follow-up care profiles, mostly within one year of MD detection. …”
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Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images by Fadwa Alrowais, Mohammed Alqahtani, Jahangir Khan, Achraf Ben Miled, Da’ad Albalawneh, Abdulwhab Alkharashi, Samah Al Zanin, Radwa Marzouk

“…Even though computed tomography (CT) and magnetic resonance imaging (MRI) are standard diagnosis techniques, artificial intelligence (AI) systems have been constructed based on these methods, which deliver fast detection. AI is gaining high attention and is being combined into numerous areas with medicine to enhance the accuracy of analysis and the quality of patient care. …”
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Text classification by CEFR levels using machine learning methods and BERT language model by Nadezhda S. Lagutina, Ksenia V. Lagutina, Anastasya M. Brederman, Natalia N. Kasatkina

“…To solve this problem, vector text models were considered based on stylometric numerical features of the character, word, sentence structure levels. …”
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CARDIOVASCULAR AND METABOLIC IMPAIRMENT IN PATIENTS WITH OBSTRUCTIVE SLEEP APNEA by M. V. Gorbunova, S. L. Babak, A. G. Maliavin

“…In our work, we used a retrospective analysis of pub-lished clinical research data of domestic and foreign authors  over the past 20 years. …”
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Prevention of post-transfusion hepatitis c transmission through donor blood and its components by A. V. Chechetkin, V. V. Danilchenko, A. D. Kasyanov, A. B. Makeev, V. E. Soldatenkov, V. N. Chebotkevich

“…The frequency of detection of antibodies to hepatitis C virus in blood donors and its components during 2009–2013 decreased by more than 1,5 times. …”
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