CEREBRAL OXYMETRY IN HIGH RISK CARDIAC SURGERY: APPLICABILITY AND PROTOCOL OF THE CLINICAL TRIAL by P. P. Perovskiy, E. V. Fominskiy, V. A. Shmyrev, I. A. Kornilov, V. V. Likhvantsev, V. V. Lomivorotov

“…However it is recognized that not all aspects of its using have been provided with the relevant evidence, especially in the respect of cardiac surgical patients with high surgical risk. The main purpose of this research is to draw the attention to the problem and present the protocol of the trial which has been started in our unit. …”
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Micro-stories, Robotic Coding, Digital Applications, and Augmented Reality to Enhance Children's Computational Thinking [Microrrelatos, codificación robótica, aplicaciones digitale... by M. Esther Del-Moral-Pérez, Nerea López Bouzas, Jonathan Castañeda-Fernández

“… This research evaluates the potential of an educational intervention aimed at developing Computational Thinking (CT) in preschool students aged 4 to 6 years (N=82). …”
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Advancements in Medical Radiology Through Multimodal Machine Learning: A Comprehensive Overview by Imran Ul Haq, Mustafa Mhamed, Mohammed Al-Harbi, Hamid Osman, Zuhal Y. Hamd, Zhe Liu

“…Additionally, this review discusses key datasets that have been instrumental in advancing MMML research. This review may help clinicians and researchers comprehend the spatial distribution of the field, outline the current level of advancement, and identify areas of research that need to be explored regarding MMML in radiology.…”
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Parallel Fractal Compression Method for Big Video Data by Shuai Liu, Weiling Bai, Gaocheng Liu, Wenhui Li, Hari M. Srivastava

“…Therefore, the compression method of big video data has become a challenging research topic at present. Performance of existing content-based video sequence compression method is difficult to be effectively improved. …”
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Optimizing coverage in wireless sensor networks using deep reinforcement learning with graph neural networks by G. Pushpa, R. Anand Babu, S. Subashree, S. Senthilkumar

“…To address these limitations, this research introduces a novel hybrid model that integrates Deep Reinforcement Learning (DRL) with Graph Neural Networks (GNN). …”
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Enhanced supervised classification of seasonal pastures on the Qinghai-Tibet Plateau (1990–2020) using Landsat optimal time window by Panfei Fang, Jia Wang, Haifeng Xu, Ruonan Li, Long Yu, Shaodong Huang, Yuying Liang, Pengfei Zheng

“…Validation with independent samples demonstrates that the overall classification accuracy for all periods exceeded 93.10%, and the spatial details of the results outperformed previous studies. …”
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Integration of Accelerometers and Machine Learning with BIM for Railway Tight- and Wide-Gauge Detection by Jessada Sresakoolchai, Chayutpong Manakul, Ni-Asri Cheputeh

“…The integration with BIM offers a spatial and temporal framework, enhancing the visualization and contextualization of detected issues. …”
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Attention-based hybrid contrastive learning for unsupervised person re-identification by Weihao Qin, Yongxia Li, Jianguang Zhang, Xianbin Wen, Jiajia Guo, Qi Guo

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Urban Air Mobility Vertiport’s Capacity Simulation and Analysis by Antoni Kopyt, Sebastian Dylicki

“…The framework integrates dynamic grid-based spatial management, probabilistic mission duration algorithms, and EASA-compliant operational protocols to address the infrastructural and logistical demands of high-density UAS operations. …”
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INFORMATION TECHNOLOGY FOR AUTOMATED ANALYSIS OF DEGRADATION AND RESTORATION PROCESSES OF COMPLEX ORGANIZATIONAL AND TECHNICAL SYSTEMS by Andrey V. Tristan, Sergey V. Osiyevskiy, Valery G. Patalaha

“…Modern information technologies wear away spatial borders between the objects of cooperation, from one side simplifying of communication processes, and from other - complicating their organizational and functional structure. …”
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Geospatial modeling of snow avalanches on the Šar Mountains, Balkan Peninsula by Durlević Uroš

“…Snow avalanches are among the most significant natural hazards worldwide in high mountain areas. Mapping the spatial distribution of avalanches is one of the initial steps in avalanche management. …”
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Enhancing Coverage and Efficiency in Wireless Sensor Networks: A Review of Optimization Techniques by Rajasekaran S, Shaik Mastan Vali

“…To address these issues, coverage optimization techniques are employed to maximize spatial coverage while minimizing energy consumption and deployment costs. …”
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Testing Linear Regressions by StatsModel Library of Python for Oceanological Data Interpretation by Polina Lemenkova

“…The study area is focused on the Mariana Trench, west Pacific Ocean. The research aim is to investigate correlation between various factors, such as bathymetric depths, geomorphic shape, geographic location on four tectonic plates of the sampling points along the trench, and their influence on the geologic sediment thickness. …”
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SwinVNETR: Swin V-net Transformer with non-local block for volumetric MRI Brain Tumor Segmentation by Maria Nancy A, K. Sathyarajasekaran

“…Unfortunately, most existing brain tumour segmentation algorithms use inadequate 2D picture segmentation methods and fail to capture the spatial correlation between features. …”
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Diabetes diagnosis using a hybrid CNN LSTM MLP ensemble by Yanmin Fan

“…An ensemble deep learning model is presented in this research for the diagnosis of diabetes which includes three steps. …”
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Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned by Marketa Ciharova, Khadicha Amarti, Ward van Breda, Ward van Breda, Martin J. Gevonden, Sina Ghassemi, Annet Kleiboer, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Christiaan H. Vinkers, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Milou S. C. Sep, Sophia Trofimova, Alexander C. Cooper, Xianhua Peng, Xianhua Peng, Mieke Schulte, Mieke Schulte, Eirini Karyotaki, Eirini Karyotaki, Eirini Karyotaki, Pim Cuijpers, Pim Cuijpers, Pim Cuijpers, Heleen Riper, Heleen Riper

“…We aimed to detect laboratory-induced stress using multimodal data and identify challenges researchers may encounter when conducting a similar study.MethodsWe conducted a preliminary exploration of performance of a machine-learning algorithm trained on multimodal data, namely visual, acoustic, verbal, and physiological features, in its ability to detect stress severity following a partially automated online version of the Trier Social Stress Test. …”
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Multivariate determinants of self-management in Health Care: assessing Health Empowerment Model by comparison between structural equation and graphical models approaches by Filippo Trentini, Matteo Malgaroli, Anne Linda Camerini, Clelia Di Serio, Peter Schulz

“…</strong> This  paper aims at investigating the consistency of Health Empowerment Model by means of both graphical models approach, which is a “data driven” method and a Structural Equation Modeling (SEM) approach, which is instead “theory driven”, showing the different information pattern that can be revealed in a health care research context.</p><p>The analyzed dataset provides data on the relationship between the Health Empowerment Model constructs and the behavioral and health status in 263 chronic low back pain (cLBP) patients. …”
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Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…The texts of these 290 articles were studied, and finally 149 articles related to the selected topic and the literature and background of this research were used. In fact, the general goal and main question of this research was to model the innovation process centered on artificial intelligence, was carried out successfully with a very low model error during the test. …”
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Corporate Social Responsibility: Completeness and Transparency of Information by M. V. Melnik, M. T. Velikhanov

“…The article presents the results of research in the field of increasing objectivity of information on the social responsibility of the state and business reflected in the reports of economic entities. …”
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SARS-COV-2 PREVALENCE IN INDIA COMPARED TO THE REST OF THE GLOBE AND ASCERTAINS EPIDEMIOLOGICAL CHARACTERISTICS ASSOCIATED WITH THE COVID-19 PANDEMIC DURING 2020 IN INDIA by M. Rajesh Kumar Rao, Rabindra N. Padhy, Manoj Kumar Das

“…The pandemic curves of COVID-19 resulted in daily peaks most significantly, and the cumulativennumber of cases increased tremendously with an upward trend. Analytical, spatial, and temporal research studies will be carried out to understand the effect of climate change and indicators that correlate with the epidemiological characteristics of the emerging coronavirus.…”
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