The Early Detection of Cardiac Fatigue: Could the HRV Be Used as a Physiological Biomarker by AI? by Giovanna Zimatore, Maria Chiara Gallotta, Marco Alessandria, Matteo Campanella, Marta Ricci, Leonarda Galiuto

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Wireless Potentiometric Monitoring of Microbial Biofilm Formation: In Vitro and Ex Vivo Studies of Gram‐Positive and Gram‐Negative Bacteria by Vladislav Genevskiy, Vivek Chaturvedi, Kristian Thulin, Khurram Usman, Elsa Westerlund, Per‐Ola Önnervik, Maryam Mostajeran, Sergey Shleev

“…Stable connections between the sensor and a smartphone receiver ensure reliable data collection and processing, facilitating remote monitoring. …”
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The Relationship between Executive Functions and Postural Control in Children with Mild Intellectual Disability and Comparison with Typically Developing Peers by Elaheh Azadian, Makwan Jabar Ali

“…The Shapiro-Wilk test results indicated that the balance data followed a normal distribution, while the cognitive data did not. …”
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Artificial intelligence with feature fusion empowered enhanced brain stroke detection and classification for disabled persons using biomedical images by Mohammed Alsieni, Khaled H. Alyoubi

“…Initially, the image pre-processing stage involves various steps, including resizing, normalization, data augmentation, and data splitting, to enhance image quality. …”
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Postoperative self-care ability of continuous nursing based on artificial intelligence for stroke patients with neurological injury by Hui Zhao, Na Li, Jianmei Zhang

“…Afterwards, the collected data were given a post-processing, independent-samples t-test for two groups. …”
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Comparative Analysis of Deep Learning Models for Intrusion Detection in IoT Networks by Abdullah Waqas, Sultan Daud Khan, Zaib Ullah, Mohib Ullah, Habib Ullah

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A novel integration of multi-stocked gated variant recurrent units and Kolmogorov-Arnold tuned deep training networks for anchoring the intrusion detection against computer attacks by M. Saritha, Saidireddy Malgireddy

“…The major components of the proposed model: (1) Data-Collection and Pre-processing (2) Feature Extraction using MSV-GRU (3) FKA-DLN model for the better classification. …”
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Enhancing quality inspection efficiency and reliability of unscreened recycled coarse aggregates (RCA) streams using innovative mobile sensor-based technology by Cheng Chang, Francesco Di Maio, Rajeev Bheemireddy, Perry Posthoorn, Abraham T. Gebremariam, Peter Rem

“…Recycled coarse aggregates (RCA) from End-of-Life (EoL) concrete face resistance due to inconsistent quality. …”
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Smart Healthcare Network Management: A Comprehensive Review by Farag M. Sallabi, Heba M. Khater, Asadullah Tariq, Mohammad Hayajneh, Khaled Shuaib, Ezedin S. Barka

“…Recent developments in sensors, wireless communications, and data processing technologies are the main drivers for adopting the Internet of Things (IoT) in healthcare systems. …”
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A Two-Stream Deep Learning Framework for Robust Coral Reef Health Classification: Insights and Interpretability by Arslan Abdul Ghaffar, Gyu Sang Choi

“…We created a specialized dataset of 20,000 images by combining five public datasets, applying a class fusion process to ensure consistent class definitions across diverse data sources. …”
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Analysis of energy efficiency of the intrafarm biofuel workshop (the case of production of motor fuel from colza oilseeds) by V. A. Kolos, Yu. N. Sap’Yan, P. M. Pugachev

“…Calculation and the analysis of criteria of energy efficiency of production of RO and MF (60 percent of DF) taking into account the full life cycle of resources were carried out. Due to technical and economic data of the project of the BF-shop created by All-Russian Research Institute of Mechanization for Agriculturefor JSC breeding enterprise Lazarevskoye in Tula region there were received rather high values of CEE of stages of direct oilseeds processing into RO and preparations of MF - respectively 7.13 and 4.98 by CDEE 24.2 and 61.8, and also CDEE of all BF-technology - 8.4 and 22.3. …”
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Standardized methodology for calculating the cost of medical care funded by government sources by M. A. Sdvizhkova, S. A. Kovaleva, D. V. Fedyaev, V. V. Omelyanovskiy

“…The study methodology involved information search techniques, expert surveys, statistical data processing, and economic analysis.Results. The analysis of existing calculation methodologies revealed their fragmentation, disparities in the level of detail, methods for determining costs, and specific interpretations. …”
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Drone-Based VNIR–SWIR Hyperspectral Imaging for Environmental Monitoring of a Uranium Legacy Mine Site by Victor Tolentino, Andres Ortega Lucero, Friederike Koerting, Ekaterina Savinova, Justus Constantin Hildebrand, Steven Micklethwaite

“…Analyses were performed using data-driven (Spectral Angle Mapper—SAM) and knowledge-based (Band Ratios—BRs) spectral processing techniques. …”
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Coal Mine Hidden Disaster Detection Based on Opposing Coils Transient Electromagnetic Method by Jian Xiao, Shili Han, Xianzhe Duan, Pengtao Zhao, Guangjun Shen, Yanshi Xie, Haiyang He, Zixiang Deng, Wei Liu, Yueping Yan

“…Through field data acquisition and inversion processing, the inversion profile, slice map, and three-dimensional shape rendering map of each survey line are obtained, and then the geological data are analyzed and explained. …”
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Operational considerations for approximating molecular assembly by Fourier transform mass spectrometry by Gabriella M. Weiss, Gabriella M. Weiss, Gabriella M. Weiss, Silke Asche, Hannah McLain, Angela H. Chung, Angela H. Chung, Angela H. Chung, S. Hessam M. Mehr, Leroy Cronin, Heather V. Graham

“…Because AT makes no assumptions about the chemistry of life, it is an agnostic tool that identifies molecular structures that are probabilistically more likely to have arisen via selection and therefore biological processes. …”
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AESTHETICS OF [NON-] VANISHING EXPERIENCES: DEEP SEMIOTICS OF MODERN SCREEN ATTRACTIONS / ЭСТЕТИКА [НЕ]ИСЧЕЗАЮЩИХ ПЕРЕЖИВАНИЙ: ГЛУБОКАЯ СЕМИОТИКА СОВРЕМЕННЫХ ЭКРАННЫХ АТТРАКЦИОНОВ... by TULCHINSKII GRIGORII L. / ТУЛЬЧИНСКИЙ Г.Л.

“…As a result, the presentation of social life experience, its understanding and comprehension is reduced to processing of digitized data streams. …”
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ANALISIS KEMAMPUAN PENGUASAAN KONSEP IPA TERPADU DAN KEPEDULIAN LINGKUNGAN MAHASISWA MELALUI PENGGUNAAN BAHAN AJAR PENGOLAHAN TEBU SEBAGAI ENERGI TERBARUKAN by Lailatul Nuraini, Supeno Supeno, Sudarti Sudarti, Sri Astutik, Shinta Nuriyah Mahbubiyah Royani

“…Sampel penelitian ini adalah mahasiswa calon guru fisika yang menempuh mata kuliah IPA Terpadu. Teknik pengumpulan data secara observasi, dokumentasi dan test penguasaan konsep. …”
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Measuring habituation to stimuli: The Italian version of the Sensory Habituation Questionnaire. by Vincenza Tarantino, Noemi Passerello, Ayelet Ben-Sasson, Tamar Y Podoly, Alessia Santostefano, Massimiliano Oliveri, Laura Mandolesi, Patrizia Turriziani

“…A confirmatory factor analysis, based on a two-factor model (i.e., vision and hearing vs. touch, smell, and taste), showed a good fit of the S-Hab-Q data. As expected, a significant correlation between the S-Hab-Q and the AQ score was found. …”
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Instagram Engagement and Content Strategies of US and UK Legacy Media: A Quantitative Analysis of Five Leading News Outlets by Douglas Farias Cordeiro, Mari Vállez, Cristina I. Font-Julian, Javier Guallar

“…The digital age, driven by advancements in data processing and internet technologies, has seen virtual social networks, particularly Instagram, become integral to daily life, influencing both leisure and professional activities. …”
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Weaker beta desynchronization indicates impaired emotion recognition in schizophrenia by Gábor Csukly, Hajnalka Molnár, Csilla Marosi, Zsuzsanna Fodor, Kinga Farkas

“…Abstract In schizophrenia, deficits in social cognition, such as facial emotion identification, have a significant impact on patient’s daily functioning and quality of life. We analyzed the beta event-related desynchronization (ERD) associated with emotional facial displays to understand better both phase-locked (i.e., neural activity and corresponding EEG response have a fixed latency after the stimulus onset) and non-phase-locked, induced (i.e. the latency of the response is not fixed) electrophysiological correlates of emotion recognition. 128 channels of EEG data from 37 patients with schizophrenia and 40 healthy controls were analyzed. …”
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