Study on the anti-penetration randomness of metal protective structures based on optimized artificial neural network by Lan Liu, Weidong Chen, Shengzhuo Lu, Yanchun Yu, Mingwu Sun

“…This paper may have some significance in proposing Dynamic Lifecycle Genetic Algorithm—the new, universal heuristic algorithm, and providing the common technical method for the APRMPS study based on DLGABPNN-MCS, in the hope of promoting the application of Dynamic Lifecycle Genetic Algorithm in other optimization problems, and offering reference for the further study of APRMPS or the study of other random problems.…”
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Prestimulus EEG Oscillations and Pink Noise Affect Go/No-Go ERPs by Robert J. Barry, Frances M. De Blasio, Alexander T. Duda, Beckett S. Munford

“…Scalp EEG contains not only oscillations but non-wave noise elements that may not relate to functional brain activity. These require identification and removal before the true impacts of brain oscillations can be assessed. …”
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STRATEGY OF DATA INTEGRITY CONTROL FOR SYSTEM WIDE INFORMATION MANAGEMENT CONCEPT by L. E. Rudel'son, S. N. Smorodskiy, A. S. Stepanenko

“…An optimal strategy for the algorithm application has been constructed (by the criterion of computational resource expenses).…”
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The state of the science of interprofessional collaborative practice: A scoping review of the patient health-related outcomes based literature published between 2010 and 2018. by May Nawal Lutfiyya, Linda Feng Chang, Cynthia McGrath, Clark Dana, Martin S Lipsky

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Respiratory muscle strength and oxygenation as predictors of length of hospital stay in patients with COVID-19 by E. S. Pan’ko, S. V. Zhavoronok, A. M. Solovchuk, S. V. Pan’ko

“…The aim was to analyze the prognostic value of ventilation/ gas exchange dissociation markers to predict the treatment length in patients with the acute phase of COVID-19.Materials and methods: The analysis was performed using a database of 384 randomly selected patients from December 2021 to May 2022 with a confirmed diagnosis of the acute phase of COVID-19, aged 61±16 years. …”
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The use of pretrained neural networks for solving the problem of reverse searching of X-ray images of prohibited items and substances by A. K. Volkov, L. V. Mironova, S. E. Potapova

“…It is concluded that the most acceptable is the “Brute force” algorithm in combination with the principal component analysis.…”
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Unobtrusive Sleep Posture Detection Using a Smart Bed Mattress with Optimally Distributed Triaxial Accelerometer Array and Parallel Convolutional Spatiotemporal Network by Zhuofu Liu, Gaohan Li, Chuanyi Wang, Vincenzo Cascioli, Peter W. McCarthy

“…For example, improper sleep postures may lead to musculoskeletal issues, respiratory disturbances, and even worsen conditions like sleep apnea. …”
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Molecular assessment of splicing variants in a cohort of patients with inborn errors of immunity: methodological approach and interpretation remarks by Laura Miguel Berenguel, Carla Gianelli, Carla Gianelli, Carla Gianelli, Elisabet Matas Pérez, Teresa del Rosal, Ana Méndez Echevarría, Ángel Robles Marhuenda, Marta Feito Rodríguez, Maria Teresa Caballero Molina, Maria Teresa Caballero Molina, Lorena Magallares García, Brenda Sánchez Garrido, Samantha Hita Díaz, Luis Allende Martínez, Luis Allende Martínez, Pilar Nozal Aranda, Pilar Nozal Aranda, Pilar Nozal Aranda, Carmen Cámara Hijón, Carmen Cámara Hijón, Carmen Cámara Hijón, Eduardo López Granados, Eduardo López Granados, Eduardo López Granados, Rebeca Rodríguez Pena, Rebeca Rodríguez Pena, Rebeca Rodríguez Pena, María Bravo García-Morato, María Bravo García-Morato, María Bravo García-Morato

“…In these cases, interpretation of the results may be challenging and molecular validation is required.MethodsThe study includes 23 patients with splicing variants out of a cohort of 187 patients diagnosed with inborn errors of immunity (IEI). …”
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Strategies for Upgrading an Operator's Backbone Network Beyond the C-Band: Towards Multi-Band Optical Networks by Dimitris Uzunidis, Evangelos Kosmatos, Chris Matrakidis, Alexandros Stavdas, Andrew Lord

“…Nevertheless, it is shown that multi-band systems allow higher operational flexibility that may slow-down the need to deploy additional C-band fibres. …”
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Connectivity Recovery Based on Boundary Nodes and Spatial Triangle Fermat Points for Three-Dimensional Wireless Sensor Networks by Hongsheng Chen, Ke Shi

“…However, in harsh environments, wireless sensor networks may be damaged and split into many isolated islands. …”
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A Program Study of the Union of Semilattices on a Set of Subsets of Grids of the Waterloo Language by Mikhail Abramyan, Boris Melnikov

“…Also relevant are the tasks that may arise in some such subclasses. This will give, among other things, the possibility of describing some new algorithms for equivalent transformation of nondeterministic finite automata. …”
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Design and Analysis of a Hybrid MPPT Method for PV Systems Under Partial Shading Conditions by Oğuzhan Timur, Bayram Kaan Uzundağ

“…Photovoltaic (PV) power generation may vary with respect to several factors such as solar radiation, temperature, power conditioning units, environmental effects, and shading conditions. …”
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Ghost Discrimination Method for Broadband Direct Position Determination Based on Frequency Coloring Technology by Mengling Yu, Long Yang, Yixin Yang, Xionghou Liu, Lu Wang

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A Biologically Inspired Trust Model for Open Multi-Agent Systems That Is Resilient to Rapid Performance Fluctuations by Zoi Lygizou, Dimitris Kalles

“…While FIRE remains competitive under extreme environmental changes, the proposed algorithm demonstrates greater adaptability across various conditions. …”
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Identification and Validation of Circadian Rhythm‐Related Genes Involved in Intervertebral Disc Degeneration and Analysis of Immune Cell Infiltration via Machine Learning by Yongbo Zhang, Liuyang Chen, Sheng Yang, Rui Dai, Hua Sun, Liang Zhang

“…The identification of these DEGs may provide new insights for the diagnosis and treatment of IVDD.…”
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Improving the accuracy of honey bee forage class mapping using ensemble learning and multi-source satellite data in Google Earth Engine by Filagot Mengistu, Binyam Tesfaw Hailu, Temesgen Alemayehu Abera, Janne Heiskanen, Tadesse Terefe Zeleke, Tino Johansson, Petri Pellikka

“…We evaluated how various data sources and classification algorithms in Google Earth Engine (GEE) affect the accuracy of honey bee forage class mapping in a semi-arid region of Ethiopia. …”
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Integrating user demographic parameters for mouse behavioral biometric-based assessment fraud detection in online education platforms by Aditya Subash, Insu Song, Ickjai Lee, Kyungmi Lee

“…Additionally, the model has not been tested in real-world settings such as online education platforms, which may limit insights into its practical deployment.…”
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Automated sample tracking and parameter adaption for scanning laser optical tomography. by Hannes Benecke, Firas Almadani, Johannes Heske, Tobias May, Ludger Overmeyer, Sonja Johannsmeier, Tammo Ripken

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Seyyar Robotlarda Kullanılan Stokastik Konum Belirleme Algoritmalarının Karşılaştırmalı Analizi by U. Bayaliev, U. Brimkulov, R. Sultanov

“…This study analyzes and compares stochastic algorithms for solving robot localization problem. To achive this, visual applications for Markov, Kalman and Monte-Carlo algorithms are implemented and their validity in solving the robot localization problem is shown.…”
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Research on Digital Media Art for Image Caption Generation Based on Integrated Transformer Models in CLIP by Lu Gao, Xiaofei Pang

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