Primary Observational Results on Children Who Have Been Exposed to COVID-19 in Moscow by Dina S. Rusinova, Evgeniy L. Nikonov, Leyla S. Namazova-Baranova, Galina P. Glazkova, Elena A. Vishneva, Elena V. Kaytukova, Tatyana E. Privalova

“…Doctors have been examining children with catarrhal symptoms and hyperthermia since March 2020. The survey of children in February and March was carried out in accordance with algorithms (uniform for adults and children) approved by the Moscow City Health Department. …”
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Electronic Shooting Simulator Family "STrIzh": Implementation Levels and Free Software Structure by S. F. Egorov

“…The simulator software algorithm should fully support all implementation levels with different configurations and include a multimedia shooting training system. …”
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Creating cell-specific computational models of stem cell-derived cardiomyocytes using optical experiments. by Janice Yang, Neil J Daily, Taylor K Pullinger, Tetsuro Wakatsuki, Eric A Sobie

“…We used the genetic algorithm (GA), a heuristic parameter calibration method, to tune ion channel parameters in a mathematical model of iPSC-CM physiology. …”
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Improving a data mining based diagnostic support tool for rare diseases on the example of M. Fabry: Gender differences need to be taken into account. by Philipp Hahn, Werner Lechner, Rainer-Georg Siefen, Christina Lampe, Peter Nordbeck, Lorenz Grigull, Thomas Lücke

“…An artificial intelligence (AI)-based diagnosis support algorithm for rare diseases has been developed in preliminary studies.…”
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Intelligent predictive networks for MHD nanofluid with carbon nanotubes and thermal conductivity along a porous medium by Hafiz Muhammad Shahbaz, Iftikhar Ahmad

“…It is in this light that recurrent neural networks are well suitable for use in complex areas including fluid dynamics, biological computing, and biotechnology since they are capable of learning patterns. In this study we examine the ability of Levenberg-Marquardt algorithm with recurrent neural networks (LMA-RNNs) in simulating the MHD heat transfer properties of nanofluid consisting of carbon nanotubes model via porous media in terms of thermal conductivity. …”
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D. M. Ovsianyko-Kulikovsky as an Orthologist: the Cognitive-evolutionary Coverage by Sergiy Popov

“…The main provisions of the cognitive-evolutionary theory of language are revealed, the essence of which involves the algorithm "perception → logic of thinking → logic of language" and one of the central concepts of which is the concept of superficiality of perception as an orientation to the closest, most noticeable features of phenomena, the categorization of which is often erroneous. …”
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Assessing the Risk of Natural and Socioeconomic Hazards Caused by Rainfall in the Middle Yellow River Basin by Yufeng Zhao, Shun Xiao, Xinshuang Wu, Shuitao Guo, Yingying Yao

“…Despite a decrease in annual precipitation in our study area of 1.46 mm per year, the intensity of heavy rainfall has increased since the 1980s, characterized by increases in rainstorm intensity (+4.68%), rainfall intensity (+7.07%), and rainfall amount (+5.34%). …”
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Observer of changes in the forest of the shortest paths on dynamic graphs of transport networks by N. V. Khajynova, M. P. Revotjuk, L. Y. Shilin

“…The purpose of the work is the development of basic data structures, speed-efficient and memoryefficient algorithms for tracking changes in predefined decisions about sets of shortest paths on transport networks, notifications about which are received by autonomous coordinated transport agents with centralized or collective control. …”
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GoldPolish-target: targeted long-read genome assembly polishing by Emily Zhang, Lauren Coombe, Johnathan Wong, René L. Warren, Inanç Birol

“…Several specialized error correction tools for genome assemblies have since emerged, employing a range of algorithms and strategies to improve base quality. …”
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A Quest for Innovation Drivers with Autometrics: Do These Differ Before and After the COVID-19 Pandemic for European Economies? by Jorge Marques, Carlos Santos, Maria Alberta Oliveira

“…The automated general-to-specific model selection algorithm—Autometrics—is used. The main potentially relevant drivers for which data were available for both years and two proxies of innovation (patents and the Summary Innovation Index) were considered. …”
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Improved YOLOv5s With Coordinate Attention for Small and Dense Object Detection From Optical Remote Sensing Images by Qinggang Wu, Yonglei Wu, Yang Li, Wei Huang

“…First, unnecessary residual modules are pruned from the cross-stage partial layer of conventional YOLOv5s and a refined residual coordinate attention module is incorporated to enhance the feature representation of the densely packed small objects in HRRSIs by introducing the residual structure and the mix pooling operation instead of the existing average pooling. Second, since various scales of objects are present in HRRSIs, the algorithm of differential evolution is adopted to replace the traditional K-means for generating a variety of anchor boxes in different sizes. …”
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Analysis of approaches to identification of trend in the structure of the time series by U. S. Mokhnatkina, D. V. Parfenov, D. A. Petrusevich

“…Since the LOESS method for groups of seasonal and non-seasonal series gives the best results for all indicators, this method can be recommended for obtaining the most accurate results for series of different nature. …”
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Somatotropinoma - adult disease in childhood by I. L. Nikitina, I. A. Leonova, A. O. Plaksina, D. E. Pyatnitskaya, A. Yu. Utkin

“…There were no complaints for a long time. An algorithm for clinical diagnosis is presented that logically substantiates the correct diagnosis and choice of treatment. …”
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Indirect determination of hemoglobin A2 reference intervals in Pakistani infants using data mining by Muhammad Shariq Shaikh, Sibtain Ahmed, Saba Farrukh, Shahnawaz Bayunus

“…RIs were computed using an indirect KOSMIC algorithm, which assumes non-pathologic samples follow a Gaussian distribution after Box-Cox transformation. …”
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Time-Dependent Electric Vehicle Routing Problem with Time Windows and Path Flexibility by Li Wang, Shuai Gao, Kai Wang, Tong Li, Lin Li, Zhiyuan Chen

“…Hereinafter, an improved version of the variable neighborhood search (VNS) algorithm is utilized to solve the proposed models, in which multithreading technique is adopted to improve the solution efficiency significantly. …”
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On the Model Checking Problem for Some Extension of CTL* by Anton Romanovich Gnatenko, Vladimir Anatolyevich Zakharov

“…For the logics mentioned above, we have developed algorithms for the verification of finite transducers. …”
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A Flow Shop Scheduling Method Based on Dual BP Neural Networks with Multi-Layer Topology Feature Parameters by Hui Mu, Zinuo Wang, Jiaqi Chen, Guoqiang Zhang, Shaocun Wang, Fuqiang Zhang

“…Secondly, a dual BP neural network scheduling algorithm is designed for determining an operations sequence involving the transport time. …”
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Electric propeller drive based on a reactive electric machine for ice-class ships by F. A. Gelver, I.V. Belousov, V.F. Samoseiko, A.V. Saushev

“…This study remains relevant for working diving descents in open water, since the proposed methods make it possible to assess intravascular gas formation directly at the site of diving operations. …”
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Study on adaptive multiscale finite element method for two-dimensional singularly perturbed problems with two parameters(二维双参数奇异摄动问题的自适应多尺度有限元法探究)... by 孙美玲(SUN Meiling), 陈璐(CHEN Lu), 江山(JIANG Shan)

“…This paper addresses the two-dimensional singularly perturbed partial differentiable equation with two parameters, since the existence of two scaled small parameters it would bring jumps and large errors of the solution. …”
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Predicting Freeway Pavement Construction Cost Using a Back-Propagation Neural Network: a Case Study in Henan, China by Jie He, Zhiguo Qi, Wen Hang, Chihang Zhao, Mark King

“…An Artificial Neural Network model using the Back-Propagation learning algorithm was developed to estimate the cost of freeway pavement construction. …”
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