Exploring Feature Selection with Deep Learning for Kidney Tissue Microarray Classification Using Infrared Spectral Imaging by Zachary Caterer, Jordan Langlois, Connor McKeown, Mikayla Hady, Samuel Stumo, Suman Setty, Michael Walsh, Rahul Gomes

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Modular Neural Network Model for Biometric Authentication of Personnel in Critical Infrastructure Facilities Based on Facial Images by Oleksandr Korchenko, Ihor Tereikovskyi, Ruslana Ziubina, Liudmyla Tereikovska, Oleksandr Korystin, Oleh Tereikovskyi, Volodymyr Karpinskyi

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Time Course of Morphological Changes in Red Blood Cells and Banked Whole Blood Biochemical Parameters in Different Storage Periods by V. V. Moroz, A. M. Golubev, E. K. Kozlova, A. V. Afanasyev, O. E. Gudkova, I. S. Novoderzhkina, Yu. V. Marchenkov, A. N. Kuzovlev, Yu. V. Zarzhetsky, A. I. Kostin, D. P. Volkov, V. N. Yakovlev

“…On storage days 1, 7, 14, 21, and 30, the morphological composition of a red blood cell population was assessed in monolayer blood smears (1000 cells per smear), by using an Olympus BX-500 microscope, computer, and ImageScopeM program. The surface of the red blood cell membranes was analyzed using an IntegraPrima NT-MDT atomic force microscope (AFM). …”
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Experimental Study on Pore Characteristics and Fractal Dimension Calculation of Pore Structure of Aerated Concrete Block by Jun Fu, Yue Yu

“…Based on the research of the fractal dimension measurement methods, the proposed MATLAB program automatically determined the fractal dimension of the aerated concrete block pore structure images. …”
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COVID-19 vaccination pharmacovigilance in Khojaly district, Uzbekistan: an epidemiological evaluation by Yunis Tursinov, Yunis Tursinov, Yunis Tursinov, Roberta Horth, Roberta Horth, Roberta Horth, Botirjon Kurbonov, Alfiya Denebayeva, Alfiya Denebayeva, Shalkar Adambekov, Shalkar Adambekov, Dilyara Nabirova, Dilyara Nabirova, Dilyara Nabirova

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Max–Min Secrecy Rate and Secrecy Energy Efficiency Optimization for RIS-Aided VLC Systems: RSMA Versus NOMA by Omar Maraqa, Sylvester Aboagye, Majid H. Khoshafa, Telex M. N. Ngatched

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Nocardia genomes are a large reservoir of diverse gene content, biosynthetic gene clusters, and species-specific genes by Kiran Kumar Eripogu, Chun-Ping Yu, An-I Tsai, Jinn-Jy Lin, Hsiao-Ching Lin, Wen-Hsiung Li

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SOCIOMORPHIC NEUROMODELING IN ACADEMIC EMOTIONOLOGY AS AN INTEGRATION OF NEUROCOGNITIVE AND PSYCHOLINGUISTIC KNOWLEDGE IN ARTIFICIAL INTELLIGENCE by Max Talanov, Irina S. Karabulatova, Victor Erokhin, Jordi Vallverdú

“…Erokhin – development of processes for biosensors and bioelectronics in the framework of neuromorphic computing; conducting experiments for bioinspired computing; clarifying terminology; J. …”
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Implemented machine learning tools to inform decision-making for patient care in hospital settings: a scoping review by Sharon E Straus, Andrea C Tricco, Sonia M Thomas, P Alison Paprica, Vera Nincic, Marco Ghassemi, Amanda Parker, Areej Hezam, Charmalee Harris, Orna Fennelly, Jessie McGowan

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The impact of online food delivery applications on dietary pattern disruption in the Arab region by Radwan Qasrawi, Radwan Qasrawi, Suliman Thwib, Ghada Issa, Malak Amro, Razan AbuGhoush, Maha Hoteit, Maha Hoteit, Sahar Khairy, Narmeen Jamal Al-Awwad, Narmeen Jamal Al-Awwad, Khlood Bookari, Sabika Allehdan, Dalal Alkazemi, Haleama Al Sabbah, Salima Al Maamari, Asma H. Malkawi, Reema Tayyem

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Two-Stage Stochastic Scheduling of Virtual Power Plant Based on Transactive Control by Meng Song, Xiaoyuan Xu, Ciwei Gao, Zheng Yan, Mohammad Shahidehpour

“…Moreover, a stochastic VPP schedule using the Wasserstein-metric-based distributionally robust optimization method is developed to consider RES power uncertainties, and its solution process is transformed into a computationally tractable mixed-integer linear programming problem based on the affine decision rule and duality theory. …”
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Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection by Ali Nizam, Ertugrul Islamoglu, Omer Kerem Adali, Musa Aydin

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Reprogrammable, Recyclable Origami Robots Controlled by Magnetic Fields by Gooyoon Chung, Jeong Woo Chae, Dong-Soo Han, Sang Min Won, Yoonseok Park

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RanViz: Ransomware Visualization and Classification Based on Time-Series Categorical Representation of API Calls by Vhuhwavho Mokoma, Avinash Singh

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Enhanced Offline Writer Recognition System Employing Blended Multi-Input CNN and Bi-LSTM Model on Diverse Handwritten Texts by Naresh Purohit, Subhash Panwar

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Optimal Economic Dispatch and Load-Following Strategies for Nuclear Integrated Energy Systems by Athanasios Ioannis Arvanitidis, Miltiadis Alamaniotis

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Correlations Between Cognitive and Social Functioning of Schoolchildren: Study of Population Data Using methods of intellectual Analysis of heterogeneous Data by Leyla S. Namazova-Baranova, Georgiy A. Karkashadze, Elena A. Vishnyova, A. I. Molodchenko

“…The high level of cognitive activity was determined in cases associated with attending music school, non-sports hobbies in schoolchildren of both age groups in general; basketball, football, dancing, summer holidays in camps in 5th grade schoolchildren; and swimming, skiing, competitive sports (non-professional), tutoring sections, computer programming in 9th grade schoolchildren. Conclusion. …”
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Refining Software Clustering: The Impact of Code Co-Changes on Architectural Reconstruction by Adelina Diana Stana, Ioana Sora

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A Novel Aggregated Multiple Imputation Approach for Enhanced Survival Prediction and Classification on Breast Cancer and Lung Cancer Data by P. Deepa, C. Gunavathi

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Experience of neuronet diagnosis and prediction of peptic ulcer disease by results of risk factors’ analysis by V. A. Lazarenko, A. E. Antonov, V. K. Markapuram, K. Awad

“…The data was analyzed using internally developed artificial neural network (Certificate of State Registration of Program for Computers (RU) no. 2017613090).The results of the study. …”
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