Cirrhotic cardiomyopathy by S. N. Mammayev, A. M. Karimova, T. E. Il’yasova, A. Sh. Khasayev

“…Experimental and clinical data demonstrated significant improvement of cardiac activity after OTL, while TIPS acts as a kind of stress for the body, that is capable to manifest concealed disorders of cardiac activity at CCM. …”
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Percepciones en el Uso del Aplicativo Móvil para el Aprendizaje de Ecuaciones Diferenciales en Estudiantes de Ingeniería. by Olga Lucy Rincón Leal, Mawency Vergel Ortega, Zulmary Carolina Nieto Sanchez

“…The sample consisted of 28 Differential Equations students, with an average age of 20. Data were collected through surveys and classroom observations, involving engineering students who used the mobile application as a complementary teaching resource. …”
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Interpretable artificial intelligence model for predicting heart failure severity after acute myocardial infarction by Chenglong Guo, Binyu Gao, Xuexue Han, Tianxing Zhang, Tianqi Tao, Jinggang Xia, Honglei Liu

“…This study aimed to develop an interpretable artificial intelligence (AI) model for HF severity prediction using multidimensional clinical data. Methods This study included data from 1574 AMI patients, including medical history, clinical features, physiological parameters, laboratory test, coronary angiography and echocardiography results. …”
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Artificial intelligence driven platform for rapid catalytic performance assessment of nanozymes by Wenjie Xuan, Xiaofo Li, Honglei Gao, Luyao Zhang, Jili Hu, Liping Sun, Hongxing Kan

“…The platform improves data accessibility, reduces experimental redundancy, and speeds up the translation of discoveries into practical use. …”
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Processing streams in a monitoring cloud cluster by Alexey N. Nazarov

“…Often, computing resources of monitoring clusters of cloud data centers are allocated for continuous parallel processing of high-speed streaming data, which imposes new requirements to monitoring technologies, necessitating the creation and research of new models of parallel computing. …”
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Realizing the Promise of Artificial Intelligence in Hepatocellular Carcinoma through Opportunities and Recommendations for Responsible Translation by Tamer Addissouky, Majeed M. A. Ali, Ibrahim El Tantawy El Sayed, Mahmood Hasen Shuhata Alubiady

“…The review draws upon a wide range of published research studies, focusing on the integration of AI and machine learning with diverse data sources, such as medical imaging, clinical data, genomics, and other multimodal information.  …”
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Automation of aeronautical information processing based on multi-agent technologies by D. E. Eshmuradov, T. D. Elmuradov, N. M. Turayeva

“…One of these approaches is based on the application of the collective activity idea of a set of agents – multi-agent technologies. …”
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Global infectious disease early warning models: An updated review and lessons from the COVID-19 pandemic by Wei-Hua Hu, Hui-Min Sun, Yong-Yue Wei, Yuan-Tao Hao

“…The integration of diverse multi-source data using big data and artificial intelligence techniques has emerged as a key approach in advancing these early warning models. …”
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A convolutional neural network driven suspension control strategy to enhance sustainability of high-speed trains by Duo Zhang, Hong-Wei Li, Fang-Ru Zhou, Yin-Ying Tang, Qi-Yuan Peng

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Mass Spectrometric Fingerprinting to Detect Fraud and Herbal Adulteration in Plant Food Supplements by Surbhi Ranjan, Tanika Van Mulders, Koen De Cremer, Erwin Adams, Eric Deconinck

“…A complimentary evaluation between data obtained using a previously developed Diode Array Detection (DAD) method and the MS data was performed by data fusion techniques and newly generated models. …”
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Efficient microstructure segmentation in three-dimensional imaging: Combining few-shot learning with the segment anything modelEarth/Chem by Po-Yen Tung, Richard J. Harrison

“…The application of three-dimensional (3D) imaging techniques, such as X-ray tomography and focussed ion beam scanning electron microscopy (FIB-SEM), is increasingly widespread in microstructural analysis of natural materials. …”
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Evaluation of Nurses' Practices Concerning Chest Pain Management for Patients in the Emergency Unit by Ali D. Abbas

“…To achieve the objectives of the study, A non-probability (purposive) samples of (70) a nurse who was consisted of all nurses who provide emergency nursing care for patients which suffering of chest pain and according to special criteria. Data were collected by an application of direct check list observation as a means of data collection. …”
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Effectiveness of an Educational Program on Nurses Knowledge about Nosocomial Infection: Case- Control Study by Saad A. Jissir, Huda B. Hassan

“…The questionnaires consist of two parts; first is concerned with the demographic data for nurses; the second part is concerned with the assessment of the nurses' knowledge about nosocomial infection Statistical Methods: The data have been analyzed through the application of: descriptive frequency, percentages; mean of scores; and the inferential analysis that include: Analysis of variance and the researcher used the SPSS version 20 to analysis of data. …”
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Fusion of BIM and SAR for Innovative Monitoring of Urban Movement – Towards 4D Digital Twin by C.-H. Yang, C. Stemmler, N. Wolf, M. Koppe, T. Rudolph, A. Müterthies

“…Our project BIMSAR is to combine BIM data and SAR-derived movement for urban movement monitoring. …”
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A Review of the Effects of Nanomaterials on the Properties of Concrete by Qi Yang, Qiuwei Yang, Xi Peng, Kangshuo Xia, Bin Xu

“…This study reviews the application of common nanomaterials in concrete and their impact on concrete performance. …”
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Assessing Advanced Propulsion Systems Using the Impact Monitor Framework by Utkarsh Gupta, Atif Riaz, Felix Brenner, Thierry Lefebvre, Patrick Ratei, Marko Alder, Prajwal Shiva Prakasha, Lukas Weber, Jordi Pons-Prats, Dionysios Markatos

“…The Impact Monitor framework and Dashboard Application demonstrate improved efficiency and data security, promoting effective collaboration across institutions and industry partners.…”
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Livestock Biometrics Identification Using Computer Vision Approaches: A Review by Hua Meng, Lina Zhang, Fan Yang, Lan Hai, Yuxing Wei, Lin Zhu, Jue Zhang

“…Finally, potential future research directions are explored, including the investigation of multimodal data fusion techniques, the construction and evaluation of large-scale benchmark datasets, and the application of multi-target tracking and identification technologies in livestock scenarios.…”
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Land use and transport integration across scales: A review of evolving models and strategies for scaling up by Dong Xiao, Liton Kamruzzaman, Hai L. Vu

“…These insights support the broader application of LUTI models in regional and national strategic planning.…”
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Study of knowledge, attitudes and practices of complementary feeding among caregivers of children from 6 to 23 months of age from a rural community of Ecuador: A cross-sectional st... by Rocío Lara, Katherine García, Luz Valencia, Alfonso Silva

“…Informed consensus was obtained previous to the survey application. Information on the nutritional status was obtained from the medical history data provided by the nursing department. …”
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GNNWR: an open-source package of spatiotemporal intelligent regression methods for modeling spatial and temporal nonstationarity by Z. Yin, J. Ding, Y. Liu, R. Wang, Y. Wang, Y. Chen, J. Qi, S. Wu, Z. Du

“…The first case involves the verification of GNNWR using air quality data from China, while the second employs offshore dissolved silicate concentration data from Zhejiang Province to validate GTNNWR. …”
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