Modification of preoperative preparation as a guarantee of improvement of perioperative treatment in elderly and senile patients by M. B. Danylyuk, S. M. Zavgorodniy, A. I. Rylov, M. A. Кubrak, N. O. Yareshko, A. V. Bachurin

“…Into the control group 89 (58.2 %) patients were included, who were treated in accordance to the standards and clinical protocols, while into the main one - 64 (41.8%) patients, in whom preoperative preparation was modified in accordance to algorithm. …”
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Using Optimization Algorithms for Effective Missing-Data Imputation: A Case Study of Tabular Data Derived from Video Surveillance by Mahmoud M. Eid, Kamal ElDahshan, Abdelatif H. Abouali, Alaa Tharwat

“…The first set uses synthetic datasets to compare four optimization algorithms—Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), Whale Optimization Algorithm (WOA), and the Sine–Cosine Algorithm (SCA)—to determine which one best identifies features related to the target feature. …”
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Hazard forecasting techniques implementation in crane safety instruments using a crane anemometer by V. A. Roshchin, S. D. Ivanov, A. N. Nazarov

“…The main part. The main influencing parameters and their measurement intervals are defined for the construction of the anemometer algorithm. …”
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Marine-Derived Peptides from <i>Phaeodactylum tricornutum</i> as Potential SARS-CoV-2 Mpro Inhibitors: An <i>In Silico</i> Approach by David Mauricio Cañedo-Figueroa, Marco Antonio Valdez-Flores, Claudia Desireé Norzagaray-Valenzuela, Loranda Calderón-Zamora, Ángel Radamés Rábago-Monzón, Josué Camberos-Barraza, Alma Marlene Guadrón-Llanos, Alberto Kousuke De la Herrán-Arita, Verónica Judith Picos-Cárdenas, Alejandro Camacho-Zamora, Alejandra Romero-Utrilla, Carlos Daniel Cordero-Rivera, Rosa María del Ángel, Moisés León-Juárez, José Manuel Reyes-Ruiz, Carlos Noe Farfan-Morales, Luis Adrián De Jesús-González, Juan Fidel Osuna-Ramos

“…In this study, peptides of 10–30 kDa derived from the marine diatom <i>Phaeodactylum tricornutum</i> were identified as potential inhibitors of SARS-CoV-2 main protease (Mpro), a key enzyme in viral replication. …”
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STEGO TRANSFORMATION OF SPATIAL DOMAIN OF COVER IMAGE ROBUST AGAINST ATTACKS ON EMBEDDED MESSAGE by Kobozeva A., Lebedeva O., Kostyrka O.

“…One of the main requirements to steganografic algorithm to be developed is robustness against disturbing influences, that is, to attacks against the embedded message. …”
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Analysis of Basic Compounds in a Network Intrusion Detection System using NSL-KDD Data by Naglaa Ibrahim, Hana Usman

“…The increasing of security attacks  and unauthorized intrusion have made network security one of the main  subjects that should be considered in present data communication environment. …”
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Multi-objective recommendation system utilizing a multi-population knowledge migration framework by Liang Chu, Ye Tian

“…In addition to adopting the classical genetic algorithm as the main evolutionary population, we specifically introduce two auxiliary evolutionary populations. …”
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Analytical allocation of new construction methods based on future residential demand to modify residential construction efficiency plan by Majid Paziki, Mahdi Ravanshadnia

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Research of the Finite State Machine with Programmable Logic as a Part of Digital Information and Control System Based on FPGA by Barkalov A., Titarenko L., Zeleneva I., Hrushko S.

“…The purpose of this research is to determine the effective way of implementation of the control algorithm, as an important functional part of information and control computer systems. …”
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Solving Three-Stage Operating Room Scheduling Problems with Uncertain Surgery Durations by Yang-Kuei Lin, Chin Soon Chong

“…To solve this problem, we propose a Genetic Algorithm for Robust Scheduling (GARS), which evaluates solutions using a scenario-based robustness criterion derived from multiple sampled instances. …”
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Noise injection into Freeman chain codes by Luka Lukač, Andrej Nerat, Damjan Strnad, Ivana Kolingerová, Borut Žalik

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Crops Disease Detection, from Leaves to Field: What We Can Expect from Artificial Intelligence by Youssef Lebrini, Alicia Ayerdi Gotor

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Optimizing Equivalent Property-Damage-Only (EPDO) Prediction Models with Genetic Algorithms: A Case Study on Roundabout Geometric Characteristics by Hossein Samadi, Omid Rahmani, Khaled Shaaban, Amir Saman Abdollahzadeh Nasiri, Mehrzad Hasanvand

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Pelvic congestion syndrome: historical aspects and a modern view on the problem (a literature review) by A. O. Nykonenko, B. S. Havrylenko

“…Pelvic varicocele is a form of varicose disease, which is increasingly regarded as the main cause of chronic pelvic pain in women with various clinical manifestations. …”
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Combined single- and dual-energy CT workflow for dose calculation in radiotherapy by Hella Sand, Jens Edmund, Ane Appelt, Patrick Wohlfahrt, Vicki Trier Taasti, Laurids Østergaard Poulsen, Jimmi Søndergaard, Martin Skovmos Nielsen

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Deterministic Light Detection and Ranging (LiDAR)-Based Obstacle Detection in Railways Using Data Fusion by Susana Dias, Pedro J. S. C. P. Sousa, João Nunes, Francisco Afonso, Nuno Viriato, Paulo J. Tavares, Pedro M. G. P. Moreira

“…Using a data fusion approach, pre-existing knowledge about the track topography is incorporated into the LiDAR data processing pipeline in conjunction with the DBSCAN clustering algorithm to identify and classify potential obstacles based on point cloud density patterns. …”
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Investigating Feed-Forward Back-Propagation Neural Network with Different Hyperparameters for Inverse Kinematics of a 2-DoF Robotic Manipulator: A Comparative Study by Rania Bouzid, Jyotindra Narayan, Hassène Gritli

“…Three different training optimizers are considered, namely the Levenberg-Marquardt (LM) algorithm, the Bayesian Regularization (BR) algorithm, and the Scaled Conjugate Gradient (SCG) algorithm. …”
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Research on the application of data mining based on digital economy in customer segmentation management by Zhang Chenglin

“…After understanding the development trend of digital economy, this paper mainly discusses the application of data mining based on digital economy in customer segmentation management according to the research situation of customer segmentation management at home and abroad, and finally verifies the application advantages of the model algorithm according to the data obtained by a regional logistics enterprise.…”
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Using Sono-Electro-Persulfate Process for Atenolol Removal from Aqueous Solutions: Prediction and Optimization with the ANFIS Model and Genetic Algorithm by Nasrin Zahedi, Bahare Dehdashti, Farzaneh Mohammadi, Maryam Razaghi, Zeynab Moradmand, Mohammad Mehdi Amin

“…Atenolol (ATN) is a drug that is widely used to treat some heart diseases, and since it cannot be completely decomposed in the human body, some amounts of it are found in surface water. These amounts may bring risks to the environment and humans, and for this reason, its removal is a must. …”
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Validation study of health administrative data algorithms to identify individuals experiencing homelessness and estimate population prevalence of homelessness in Ontario, Canada by Lucie Richard, Stephen W Hwang, Cheryl Forchuk, Rosane Nisenbaum, Kristin Clemens, Kathryn Wiens, Richard Booth, Mahmoud Azimaee, Salimah Z Shariff

“…Two reference standard definitions of homelessness were adopted: the housing episode and the annual housing experience (any homelessness within a calendar year).Main outcome measures Sensitivity, specificity, positive and negative predictive values and positive likelihood ratios of 30 case ascertainment algorithms for detecting homelessness using up to eight health service databases.Results Sensitivity estimates ranged from 10.8% to 28.9% (housing episode definition) and 18.5% to 35.6% (annual housing experience definition). …”
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