Application of pressure injury preventive measures and bundles in home and community environments: a scoping review protocol by Juliane Andrade, Fabiana Tomé Ramos, Rhavenna Thais Silva Oliveira, Marla Andreia Garcia Avila, Rúbia Aguiar Alencar, Aglecia Moda Vitoriano Budri

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Measuring Blink-Related Brainwaves Using Low-Density Electroencephalography with Textile Electrodes for Real-World Applications by Emily Acampora, Sujoy Ghosh Hajra, Careesa Chang Liu

“…Prior studies have reported BRO utility as both a clinical and non-clinical biomarker of cognition, but no study has demonstrated BRO measurement using textile-based EEG devices that facilitate user comfort for real-world applications. <b>Methods</b>: We investigated BRO measurement using a four-channel EEG system with textile electrodes by extracting BRO responses using existing, publicly available EEG data (<i>n</i> = 9). …”
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Enhanced resolution capability of SWOT sea surface height measurements and their application in monitoring ocean dynamics variability by Y. Wang, S. Zhang, Y. Jia

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The Application of the Activated Carbon from Cordia africana Leaves for Adsorption of Chromium (III) from an Aqueous Solution by Estifanos Kassahun, Jemal Fito, Solomon Tibebu, Thabo T. I. Nkambule, Talebachew Tadesse, Takele Sime, Helmut Kloos

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Novel energy savings method considering extra sensor battery discharge time for fish farming applications by Lisbeth Haydee Rivera Betancur, Alvaro Suárez, Jeison Marin Alfonso

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Application of Artificial Intelligence for the Implementation of Mismatch Negativity Potential Algorithms in Industrial Automated Predictive Maintenance Systems by Alexander Yu. Chesalov

“…One of the urgent problems of industrial automation is that the operation of the few predictive maintenance systems available on the Russian market is usually based on the collection and analysis of equipment data without considering the joint impact of internal and external factors. …”
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Research on the construction and application of intelligent tutoring system for english teaching based on generative pre-training model by Weiguo Feng, Xinhan Lai, Xin Zhang, Xiaojing Fan, Yinxia Du

“…The construction solution includes collecting data such as learners' English proficiency test scores, learning history, and self-reported learning preferences to create detailed learner profiles, integrating advanced generative pre-trained models such as GPT-based and fine-tuning with data related to English language teaching, and then automatically generating exercises based on learner profiles and dynamically adjusting the difficulty. …”
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A Symbiosis of Multi-Criteria Decision Making and Electroencephalography: A Review of Techniques, Applications, and Future Directions by Aylin Adem, Erman Cakit, Metin Dagdeviren, Anna Szopa, Waldemar Karwowski

“…Additionally, MCDM techniques contribute to improvements in the classification or feature extraction stages of data obtained through EEG.…”
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Exploration of dietary patterns in southern China: application-based comparison of factor analysis and latent class analysis by Kai Tan, Yaqing Xue, Huiwen Chen, YuTing Zheng, Zuguo Qin, Zhiqiang Tian, Chichen Zhang

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Mapping dynamic regulation of gene expression using single-cell transcriptomics and application to complex disease genetics by Hanna Abe, Phillip Lin, Dan Zhou, Douglas M. Ruderfer, Eric R. Gamazon

“…Summary: Single-cell transcriptome data can provide insights into how genetic variation influences biological processes involved in human physiology and disease. …”
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Model-Based Bikeability Indexing for Inter-City Comparisons to Evaluate Infrastructure and Level of Service for Cyclists by Jan Kellershohn, Sebastian Dickler, Christian Jungbluth

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Machine Learning Enables Real‐Time Proactive Quality Control: A Proof‐Of‐Concept Study by T. Honda, A. Yamazaki

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Analysis of the Influence of Comorbid States on COVID-19 Severity and In-Hospital Mortality for Further Application in an Outpatient Setting by A. Kurakh, I. Chopey, K. Hechko

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Editorial: Computational modeling and machine learning methods in neurodevelopment and neurodegeneration: from basic research to clinical applications by Noemi Montobbio, Roberto Maffulli, Anees Abrol, Pablo Martínez-Cañada, Pablo Martínez-Cañada

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Demonstrating an Academic Core Facility for Automated Medical Image Processing and Analysis: Workflow Design and Practical Applications by Yogesh Kumar, Rex A. Cardan, Ho-hsin Chang, Katherine A. Heinzman, Kadir Gultekin, Amy Goss, Andrew McDonald, Donna Murdaugh, Jonathan McConathy, Steven Rothenberg, Andrew D. Smith, John Fiveash, Carlos E. Cardenas

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Minor variant detection in amplicons using 454 massive parallel pyrosequencing: experiences and considerations for successful applications by Ina Vandenbroucke, Herwig Van Marck, Peter Verhasselt, Kim Thys, Wendy Mostmans, Stéphanie Dumont, Veerle Van Eygen, Katrien Coen, Marianne Tuefferd, Jeroen Aerssens

“…Especially for this application, errors that might be introduced during any of the sample processing or data analysis steps should be avoided or at least recognized, as they might lead to aberrant sequence variant calling. …”
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Frame Structure and Engineering Applications of the Multisource System Cloud Service Platform of Monitoring of the Soft Rock Tunnel by Fengnian Wang, Songyang Yin, Aipeng Guo, Zhicai Wang, Meng Mi, Gan Qi, Juan Ma, Haijiang Zhang

“…This monitoring system ensured construction safety and provided monitoring application case support for the related problems of similar projects.…”
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A Robust Image Encryption Scheme Based on Quantum Walks and Dynamic DNA for Secure Cloud Applications by Ahmed A. Abd El-Latif, May Almousa, Bassem Abd-El-Atty

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The Application of an Edible Coating with Yellow Pumpkin Extract to Fresh Chicken Meat and its Physical Quality are reviewed by Dimas Wiryawan, Abdul Manab, Agus Susilo

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Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects by Muhammad Abdullah Hanif, Nandish Chattopadhyay, Bassem Ouni, Muhammad Shafique

“…Deep Neural Networks (DNNs) have emerged as a prominent set of algorithms for complex real-world applications. However, state-of-the-art DNNs require a significant amount of data and computational resources to train and generalize well for real-world scenarios. …”
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