bluuebunny/crossref_metadata_2025 huggingface dataset:
Mathematical Modeling and Stability Analysis of the COVID-19 Spread by Considering Quarantine and Hospitalize
Authors: Widowati  , Sutrisno  , Sasongko Priyo Sidik , Brilliant Melvin , Triyana Eka
Published: January 2023

A virus that attacks the human respiratory system that first appeared in the province of Wuhan, China is known as COVID-19 (SARS COV2 n-corona virus). In order to anticipate the increasing of the cases, a strategy is needed to inhibit its growth and spread. Seeing the projection of future situations becomes very important, so we can anticipate with a selection of policy scenarios. The dynamical system model approach is very important for predicting future situations as well as selectable scenarios based on simulation results. In this study, we develop a COVID-19 transmission model which can be used to predict the epidemiological outcome and simultaneously to evaluate the effect of quarantine and hospitalization to COVID-19 spread. The mathematical model of the transmission of COVID-19 was developed in the form of the non-linear differential equation system, with seven variables, namely susceptible, exposed, infected, quarantined-1 (exposed individuals who were quarantined), quarantined-2 (infected individuals who were quarantined), hospitalized and recovered. The proposed model has a non-endemic and endemic equilibrium point. Local stability analysis of the non-endemic equilibrium point was investigated using the Routh-Hurwitz criterion, while global stability of the endemic equilibrium point was analyzed by using the Lyapunov method. If the basic reproduction number is less than one, then non-endemic equilibrium point is stable. On the other hand, if the basic reproduction number is greater than one, then endemic equilibrium point is stable. Verification of the developed model was carried out through numerical simulations using data from Central Java Province, Indonesia. We have investigated that parameter related to quarantine and hospitalize affect the number of new infections COVID-19 and the basic reproduction number. From the simulation results, it was found that strict quarantine and hospitalize have the potential to succeed in reducing and inhibiting the transmission of the COVID-19. It can be used by the government in making policies to increase the implementation of quarantine and hospitalize in the community.
Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model
Authors: Alotaibi Abrar , Rahman Atta-ur , Alhaza Raheel , Alkhalifa Wala , Alhajjaj Narjes , Alharthi Atheer , Abushoumi Dhai , Alqahtani Maryam , Alkhulaifi Dania
Published: January 2023

Saudi Telecom Company (STC) is among the most popular companies in Saudi Arabia, with many customers. Yet, there is still a big room for improvement in users' satisfaction. Social media is the most robust platform to gauge users' satisfaction and determine their sentiments and critics. Twitter is among the most popular social media platform in this regard. STC customers prefer to use Twitter to write their feedback because it's a fast way to get responses due to the STC customer services account. One way to achieve customer demands and improve customer service is using the Sentiment Analysis tool. Sentiment Analysis on Twitter is highly used because of the significant number of tweets and the different opinions. Likewise, Deep learning is the best existing Sentiment Analysis method, and it has diverse models. Bidirectional Encoder Representations from Transformers (BERT) model is one of the deep learning models which have achieved excellent results in Sentiment Analysis for Natural Language Processing (NLP). NLP is mainly investigated in the English language. However, for Arabic, there is a significant gap to be filled. This study trained the proposed model using MARBERT and measured the performance using f1-score, precision, and recall metrics. We trained the model with an Arabic dataset of 24,513 tweets, including 1,437 positive, 13,828 negative, 5,694 neutral, 1,221 sarcasm, and 2,297 indeterminate tweets. The main goal is to analyze the tweets and get the sentiment to improve STC customer service. The proposed scheme is promising in terms of accuracy in contrast to existing techniques in the literature.
A Vis-NIRs Calibration Model for the Prediction of Myristicin and Alpha-Pinene on Nutmeg: A Comparison Study of PLSR Algorithm and Machine Learning Algorithm
Authors: Devianti Devianti , Sufardi Sufardi , Yusmanizar Yusmanizar , Siahaan Herbert Hasudungan , Sitorus Agustami
Published: January 2023

Determination of the myristicin and alpha-pinene content of nutmeg is still constrained by the extended testing time in the laboratory, which is expensive and is carried out destructively. In addition, non-destructive testing using spectroscopy often faces problems in building models that only rely on algorithms that perform linearly, such as PCR and PLSR. Therefore, the present study studied Vis-NIR (381-1065 nm) as a fast, inexpensive, and non-destructive mechanism to determine the myristicin and alpha-pinene of nutmeg fruits from Aceh, Indonesia. Two algorithms commonly used in spectral data processing, partial least squares regression (PLSR) and machine learning represented by a support vector machine (SVM), were employed and compared to predict myristicin and alpha-pinene in nutmeg fruits. The chemical reference parameters (myristicin and alpha-pinene) were measured using gas chromatography mass spectrometry (GC-MS). Standard normal variate (SNV) and multiplicative scatter correction (MSC) preprocessing were involved as spectra enhancement before the prediction models outcome. The results show that the kernel of the radial basis function (RBF) kernel n-SVM algorithm is better than PLSR for myristicin prediction with gamma (g), c, and nu (n) of 0.1, 1.0, and 0.99, respectively. Also, the e-SVM algorithm by RBF kernel is better than PLSR for the prediction of alpha-pinene in nutmeg fruits with gamma (g), c, and epsilon (e) compositions of 0.01, 10, 0.1, respectively. The coefficient correlation of calibration (rc) and coefficient determination of prediction (Rp2), the root means square error of calibration (RMSEC) and prediction (RMSEP), and the ratio (RPD) for the prediction of myristicin were 0.992, 0.986, 0.941%, 1.325% and 8.348, respectively. The coefficient correlation of calibration (rc) and coefficient determination of prediction (Rp2), the root mean square error of calibration (RMSEC) and prediction (RMSEP), and the ratio of prediction to deviation ratio (RPD) for the prediction of alpha-pinene were 0.976, 0.979, 0.305%, 0.317% and 6.826, respectively. In general, the results satisfactorily indicate that Vis-NIRS, with the appropriate algorithm, has promising results in determining myristicin and alpha-pinene on nutmeg from Aceh, Indonesia, as nondestructive measurement.
Some New Properties on Block Matrices Using MATLAB Code
Authors: Alkhalidi Ahmed A.H. , Ali Mujtaba Zuhair , Yasser Mohsen Naeem
Published: January 2023

In this article, we study some new properties of the block matrices. Introduce the methods for finding the block matrices of any matrix. We prove some of these methods by using the matrix analysis methods. Some results of this paper are proved by using the permutations of matrices of the block matrices. In the last of this study, some examples are introduced to explain the results of this work and we give some MATLAB code in the appendix to explain the results of this article.
Using Greenhouse Modelling to Identify the Optimal Conditions for Growing Crops in Northeastern Thailand
Authors: Wangkahart Sakkarin , Junsiri Chaiyan , Srichat Aphichat , Poojeera Sahassawas , Laloon Kittipong , Hongtong Kaweepong , Boupha Phaiboon
Published: January 2023

The most essential components in escort farming are the determination of airflow patterns and the distribution impact of microclimate temperature variables. The objective of this study is to use Computational Fluid Dynamics (CFD) models to ascertain the aerodynamic and thermal dynamics of protected agricultural greenhouses suitable for cultivation in tropical Northeastern crops of Thailand by defining differences in greenhouse layouts, specifically Gable Roof (GR), Curved Roof (CR), Saw tooth roof (SR), and Double roof (DR). The root means square error (RMSE) indicated that the factor determination of CFD modelling using the standard k−ε turbulence model was satisfactory. In addition, they found that, at a significance level of 0.05, the average temperature in the greenhouses was statistically distinct based on the form of the back of the house and the location of the air input and outflow.
Investigation of Energy Efficient Clustering Algorithms in WSNs: A Review
Authors: Ahmad Iman Ameer , Al-Nayar Muna Mohammed Jawad , Mahmood Ali M.
Published: January 2023

In recent years, Wireless Sensor Networks (WSNs) are attracting more attention in many fields as they are extensively used in a wide range of applications, such as environment monitoring, the Internet of Things, industrial operation control, electric distribution, and the oil industry. One of the major concerns in these networks is the limited energy sources. Clustering and routing algorithms represent one of the critical issues that directly contribute to power consumption in WSNs. Therefore, optimization techniques and routing protocols for such networks have to be studied and developed. This paper focuses on the most recent studies and algorithms that handle energy-efficiency clustering and routing in WSNs. In addition, the prime issues in these networks are discussed and summarized using comparison tables, including the main features, limitations, and the kind of simulation toolbox. Energy efficiency is compared between some techniques and showed that according to clustering mode “Distributed” and CH distribution “Uniform”, HEED and EECS are best, while in the non-uniform clustering, both DDAR and THC are efficient. According to clustering mode “Centralized” and CH distribution “Uniform”, the LEACH-C protocol is more effective.
Improving the Reliability of RPL Using Hybrid Deep Learning and Objective Function-Based DODAG Structure for AMI
Authors: M. M. Savitha , Basarkod Prabhugoud I.
Published: January 2023

Advanced Metering Infrastructure (AMI) is the prime smart grid application that connects smart meters and electric power stations. Routing Protocol for Low-Power and Lossy Networks (RPL) is the most familiar lightweight routing protocol for AMI networks. The reliability of RPL routing is a potential problem for the efficient deployment of AMI networks. This paper ensures attack and network reliability for AMI-RPL and proposes Hybrid Deep Learning based Intrusion Detection System (HDL-IDS) for attack reliability and a Multi-Objective Function-based Reliable RPL (MOR-RPL) for network reliability. The HDL-IDS assures AMI-RPL reliability against attacks by analyzing and eliminating the attack traffic successfully. The MOR-RPL method improves the RPL construction reliability by procuring the multi-objective function-based reliability metrics in the DODAG building. The simulation results show that the attack and network reliability are significantly enhanced with balanced energy consumption.
Mathematical Modeling and Control Architecture of the Autonomous Lower Body of a Humanoid Robot
Authors: Bharadwaj Deepak , Dutt Durga
Published: January 2023

Joint controlling is n issues in humanoid robotics. Due to large number of joint present in the humanoid robot, nonlinearity causes the problem for a smooth walk. Processor has to do a lot of computation before the execution of the operation. Due to Serial and parallel linkages of Human manipulator structure, controlling is done with the mixed mode of the operation. The Central pattern generator (CPG) controller architecture were adopted for the such type of operation. CPG controller system interact with the environment and generates the task for the joint using the trajectory control. A simple master-slave control architecture was implemented for the controlling of the lower body of a humanoid robot trajectory. The nonlinearity was minimized by selecting the popper gear ratio. The stiffness and damping designed based on the natural frequency of the system. The controller design was optimized at damping factor 1. The structur
Mathematical Model for the Investigation of Human Organism Functional Self-organisation
Authors: Aralova Nataliya , Klyuchko Olena , Mashkin Valery , Mashkina Irina
Published: January 2023

Mathematical modeling of processes occurring in living organism is convenient and reliable tool for the understanding of mechanisms of human organism self-organization, interaction and inter-influence of its functional systems. The simulations of processes occurring in organism during various extreme perturbations at mathematical models allow us to study the parameters of self-organization in these perturbations at the level unavailable currently for modern invasive methods as well as to predict the organism steady state at given level of perturbing effects. The objects of study were the reactions of respiratory and blood circulatory systems, because these systems, according to the theory of adaptation by F. Meerson, are the most sensitive to the disturbing effects of environment. The paper provides a brief overview of mathematical models of respiratory and blood circulatory system; in the construction of these models rather complex mathematical apparatus was used and, accordingly, the implementation of which requires significant computational resources. The mathematical model of the functional respiratory system was proposed; it is based on the principle of the main function of respiratory system realization and takes into account conflict situations that occur in organism during this function fulfillment. This conflict happens between the governing and executive self-regulatory organism organs as well as between the different tissues groups in their fight for the oxygen. Mathematically, the model is a system of ordinary nonlinear differential equations that describe the transport and mass transfer of respiratory gases in all structural parts of respiratory system. The task of control of gases dynamics in organism was solved using the principle of Pontryagin maximum.
On Features of Planning Trajectories for Quadrotors
Authors: Tunik Anatolii , Larin Volodymyr , Sushchenko Olha , Ilnytska Svitlana
Published: January 2023

The paper deals with studying the process of planning trajectories during the quadrotor flight. The typical trajectories of the drone flights have been analyzed. Block diagram of the control system in the nonholonomic case and the horizontal flight is given. Comparative analysis of the most widespread trajectories is represented. The possibility to use two types of Dubins trajectory is analysed. Introducing polar coordinates for forming flight trajectories is proposed. The grounded choice of the quadrotor trajectories for different cases of the holonomic and nonholonomic closed-loop control systems was proposed. The advantages and disadvantages of the trajectories planning in each of these cases were analyzed. The Simulink models for generators of the quadrotor trajectories have been developed. The simulation results of generations of these trajectories have been represented. The possibilities of MATLAB for simulating flight trajectories are shown. The obtained results can be applied for unmanned aerial vehicles of different types.
Information Technologies: Physical and Mathematical Models of Detectors for Environment Monitoring Systems
Authors: Klyuchko Olena , Shutko Vladimir , Kolganova Olena , Lizunova Alina , Navrotskyi Denis
Published: January 2023

Ecological monitoring is a real need in contemporary world with its growing tendency of environmental industrial pollution. Among such pollutants there are chemicals emanated in fires, explosions and other emergencies, in process of ruining of chemical enterprises, enterprises of oil and gas cycle, and etc. Some information systems for appropriate monitoring were described briefly in this article together with incorporated hybrid system of electronic chemical pollution detectors that were able to input information to such systems. In previous works of the authors the necessity of development of two types of such detectors with specified properties were substantiated: biosensors and detectors with elements – artificially elaborated selective membranes. This article describes the second type of detectors. The proposed detectors were able to detect harmful chemicals in the environment in the air and water phases; development of such devices was based on the theory of membrane systems. The detectors contained sensor elements covered with chemo-sensitive specific coatings – layers of substances: membranes, films, etc. When in contact with certain chemicals, these detectors demonstrate the properties of chemo-sensitivity and primary identification of such compounds. These studies were aimed on developing detectors of various environmental pollutants based on the theory that can be used as a basis for the detection of such substances. The works were based on a deep study of membrane systems with further development of physical and mathematical models of some substances detection taking into account basic chemical and physical properties of artificial and natural membranes, as well as their ionic selectivity. Some results of mathematical modeling of such detectors with artificial membranes – chemo-sensitive surfaces – were described in the article.  Summarizing the previous experience, a brief review of authors’ publications in these items was done, as well as the works of some other authors. The purpose of the work was, basing on profound studying of artificial membrane systems, to suggest them as physical model and summarize the experience of development of their mathematical models.
Model of Decision Making Using Artificial Neural Networks
Authors: Khrashchevskyi Rimvidas , Ivanets Olga , Nesterenko Katerina , Horskyi Olexii , Baybuz Oleg
Published: January 2023

The article makes theoretical generalizations and provides promising solutions to the scientific and theoretical problem of human factor assessment in the safety management system based on predicting the occurrence of an adverse event that may involve risks in aviation activities. The current state and prospects of developing a proactive approach to the safety risk management system and the place of the human factor in identifying sources of danger are analyzed. Generalization and current prospects for the use of artificial neural networks for forecasting tasks and their place in the decision-making system, which allowed to identify unresolved issues, justify appropriate approaches to its solution, in particular to assess the possibility of adverse events of the cardiovascular system . A method for constructing an artificial neural network for forecasting biological risk objects based on a theoretical approach using a decision-making model has been developed. The use of artificial neural networks allowed to develop a model for predicting the occurrence of a negative event of sudden disruption of the functional state of the cardiovascular system of the operator.
Semi-controlled Learning in Information Processing Problems
Authors: Sineglazov Victor , Chumachenko Olena , Heilyk Eduard
Published: January 2023

The article substantiates the need for further research of known methods and the development of new methods of machine learning – semi-supervized learning. It is shown that knowledge of the probability distribution density of the initial data obtained using unlabeled data should carry information useful for deriving the conditional probability distribution density of labels and input data. If this is not the case, semi-supervised learning will not provide any improvement over supervised learning. It may even happen that the use of unlabeled data reduces the accuracy of the prediction. For semi-supervised learning to work, certain assumptions must hold, namely: the semi-supervised smoothness assumption, the clustering assumption (low-density partitioning), and the manifold assumption. A new hybrid semi-supervised learning algorithm using the label propagation method has been developed. An example of using the proposed algorithm is given.
Automation Disign of Hybrid Vertical-axial Rotors
Authors: Sineglazov Victor , Stanislavchuk Oleksandr
Published: January 2023

The paper proves the need to create vertical-axial rotors of wind power plants in the city strip, which can be placed on roofs, which makes it possible to increase their energy efficiency by 60-70%. It is shown that the placement of such rotors on the roofs has its own characteristics, which is the need to take into account the relief of the roof of the house, its surface area, rose and wind speed over it and others. Examples of wind farms are considered and it is proved that their energy efficiency can be increased by using hybrid vertical-axial rotors, which consist of a combination of Darrieus and Savonius rotors, where the Darrieus rotor is the main source (s) of wind energy conversion. in electric, while the rotor (s) of Savonius provide acceleration of Darrieus rotors. In order to improve the quality of design, an automated design system was developed, which includes the following blocks: determining the forces affecting the rotor, choosing the type of main and accelerating rotors, determining the optimal number of blades, optimal rotor placement, calculation of dynamic rotor characteristics, analysis of probable wind speed characteristics and strength calculation.
Analysis of the Accuracy's Criteria of the Flight Control and Guidance System
Authors: Filyashkin Mykola
Published: January 2023

It is shown that in the practice of designing Flight Control and Guidance System it is necessary to solve not only single-objective optimization problems related to the field of deterministic processes, but also to optimize random variables and functions. It is to such tasks that the analysis of the criterion of accuracy of the designed Flight Control and Guidance System belongs. In the paper, considering the navigation process as a stationary random process, a probabilistic criterion for the quality of aircraft navigation is formulated in the form of a quantitative assessment of the accuracy of the Flight Control and Guidance System that ensures that the aircraft does not leave the specified corridor for a specified time. Formulas are obtained for calculating the accuracy criterion of Flight Control and Guidance System in across track separation. It is shown that in order to calculate the accuracy criterion of the Flight Control and Guidance System, it is sufficient to know the correlation function of the lateral deviation errors, which can be obtained either by the calculation method, or by modeling, or by a flight experiment.
Acoustic Emission During Composites Fracture According von Mises Criterion and Changing of its Properties Disperstion
Authors: Filonenko Sergii , Stakhova Anzhelika
Published: January 2023

The results of modeling composite elements process destruction by shear force according to von Mises criterion and acoustic emission signals generated with decrease of composite properties dispersion are considered. It has been determined that decrease of composite properties dispersion leads to increase the rate of fall the curves change in the remaining elements in time and decrease the time of fracture process. It was found that with decrease of composite properties dispersion there is increase of generated acoustic emission signal amplitude and decrease in its duration. It has been determined that the regularities of generated acoustic emission signals maximum amplitude increase and acoustic emission signals duration decrease are well described by power-law functions. Comparison of the obtained data with the data at composite destruction according to the OR criterion is carried out. It has been determined that the patterns of acoustic emission signals maximum amplitudes and durations change are similar. However, when using the OR criterion, the values of acoustic emission signals amplitudes and durations are higher than when using the Mises criterion.
TSK Fuzzy Neural Network Use for COVID-19 Classification
Authors: Shapoval Nataliia
Published: January 2023

It is considered t the Takagi-Sugeno-Kang fuzzy neural network and its modern variations. The use of regularization, random exclusion of rules from the rule base allows solving the problem of excessive similarity of rules in the rule base. The use of batch normalization to increase the generalizing properties of the network allows to increase the accuracy of the model, while maintaining the possibility of interpreting the results, which is characteristic of fuzzy neural networks. It is proposed to use an ensemble of fuzzy neural networks to increase the generalizing capabilities of the network. Studies of the Takagi-Sugeno-Kang fuzzy neural network for the task of diagnosing the coronavirus disease show that the proposed model works well and allows to improve the result.
Using of Artificial Intelligence to Solve the Problem of Cardiovascular Disease Diagnostics
Authors: Chumachenko Olena , Kolomoiets Serhii
Published: January 2023

The article considers the feasibility of using artificial intelligence, artificial neural networks and machine learning in the tasks of classification and forecasting in the medical field.  The directions in the field of health care in which artificial intelligence was used and the expediency of their use are considered. The analysis of the most frequent diseases among the population is made and the growth rate of diseases is shown. Proof of the success of neural networks when working with cardiovascular diseases, oncology, covid-19. Machine learning algorithms that can be used to create an intelligent system for diagnosing cardiovascular diseases are considered. The characteristics that are advisable to use when creating such a system are presented. The requirements for the creation of an intelligent system that would allow to increase the level of qualification of health care professionals through their interaction with artificial neural networks are formed.
Hand Gestures Recognition and Tracking Within Virtual Reality using Hybrid Convolutional Neural Networks
Authors: Sineglazov Victor , Boryndo Illia
Published: January 2023

In this paper analysis of modern virtual reality algorithms based on mobile devices was done. As a result, algorithmic shortcomings were identified and the usage of convolutional neural networks was proposed. Within the research the qualitative analysis of modern architectures of convolutional neural networks was carried out and their separate shortcomings at use in systems on the basis of processor architecture аdvanced RISC machine was shown. As a result of this research it was found that to achieve the target accuracy and speed of the system it is important to use a hybrid convolutional neural network, which significantly improves the quality criteria of the system. The optimal structure and parameters for initialization and training of a hybrid convolutional neural network system used for virtual reality are obtained. The optimal training sample was formed and the use of pre-trained hybrid convolutional neural network on another device of аdvanced RISC machine architecture was described.
On Prospects of Analytic Hierarchy Process Application for Freight Transportation Safety Management in Integrated Transport Systems
Authors: Cherednichenko Kostiantyn , Sokolova Olena
Published: January 2023

Integrated transport systems are a perfect form of transportation organization, because they allow integrated use of competing modes of transport, providing a high level of transportation service at affordable prices and savings in transportation costs. With the increasing demand for such transportation, the issue of transport safety assessment is becoming more important, particularly in preservation of cargo and vehicles in each section of the transportation process. In the process of technical progress, it becomes increasingly difficult to achieve a high enough level of transport safety, which allows to ensure national security and interests in the field of transport activities. Unfortunately, transport safety management today is mainly carried out at organizational level, which needs to be supplemented with safety assessment of transport system’s objects. The development of methods for transport safety assessment remains a complex scientific task, the solving of which depends on the economic efficiency and safety of the transportation process. Since transport safety is the state of the transport system, its assessment includes the safety assessments of various transport infrastructures. Thus, there is some imaginary protection field of the object of transport infrastructure, which provides counteraction to a set of existing or perceived threats.  The proposed algorithm for safe freight transportation routes development may be divided into two cyclical stages: optimal transport hub determination from the alternatives; optimal transportation route choosing between selected transport hubs. The method provides a comprehensive and rational framework for structuring a decision problem, for representing and quantifying its elements, for relating those elements to overall goals, and for evaluating alternative solutions. The practical use of the proposed approach allows at the designing stage of multimodal transportation routes to evaluate their alternatives, according to the selected criteria and take the necessary measures in order to improve transport safety.
Sexual differences in morphology and winter diet of the Eurasian magpie (Pica pica) in Hungary
Authors: Imeri Miranda , Katona Krisztián
Published: January 2023

Eurasian magpie (Pica pica) is a widely distributed, common species of the Corvidae family. Since magpies have lived close to humans for centuries, we have much information about the species. However, there are few data about morphological and dietary differences between sexes, primarily due to their monomorphic and omnivorous, and opportunistic characteristics. The aim of the study was to analyse the sexual differences in the morphological characteristics, simultaneously provide the body measurements for both sexes with a high level of accuracy and determine the diet composition through stomach content analysis during the winter. The samples were taken from hunting in February of 2020, in Hungary. The linear measurements of body parts (eight variables considered) have been done for all individuals (n=30), and the values were compared between the sexes. The stomach contents were categorized among five main food components, and comparisons of stomach contents and their weights were also performed between males and females. The results concluded that there were no significant differences between the sexes in the studied morphological variables. The dietary analysis revealed that during the winter magpies fed on a range of different food types, with seeds, invertebrates, and vertebrates being the most frequently consumed food. We revealed slight differences between sexes in the consumption of the two latter categories. Our investigations supported earlier findings on the high morphological and dietary similarities of the two sexes also in case of a Hungarian magpie population. These results can serve as a potential basis for further research on magpies in Europe.
Признак Ермакова сходимости числовых рядов
Authors: Болотаев В.Г
Published: January 2023

На сегодняшний день раздел математического анализа, посвященный числовым рядам не потерял свою актуальность. Их широкое применение обусловлено точностью решений конкретных практических задач. Даже если некоторые тонкие понятия математического анализа появились вне связи с теорией рядов, они немедленно применялись к рядам, которые служили как бы инструментом для испытания значимости этих понятий. По сей день это положение не изменилось.
Вычислительный и абстрактный ноль. Площади подобных тел
Authors: Полякова И.С.
Published: January 2023

В статье рассмотрена возможность применения разных нолей для физических величин и вычислительной математики, если мы хотим отделить вычислительную математику от физики для облегчения понимания. Для вычислительной математики ноль как вычислительное число. Нуль для физических величин как начало отсчета, к нему их характеристики могут стремиться, но никогда не достигать, как не может равняться нулю длина тела. Также площади как боковой, так и полной поверхностей подобных фигур в пространстве относятся как коэффициент подобия их линейных размеров в квадрате.
Криоконсервация пищевых продуктов функциональной направленности на примере творога
Authors: Бирюкова Н.В. , Прибытковский Е.В.
Published: January 2023

Предложена технология замораживания творога, позволившая при длительном хранении обеспечить высокую пищевую ценность и безопасность продукта за счет дополнительного внесения молочнокислых микроорганизмов и пищевых волокон.
Исследование состава Тюльганского бурого угля с целью определения возможности его применения в качестве сорбирующего материала
Authors: Заика Ю.В. , Бикмурзин А.К.
Published: January 2023

Проведено исследование качественного и количественного состава бурого угля Тюльганского месторождения. Показано, что бурый уголь представляет собой сложную многокомпонентную смесь веществ органической и минеральной природы. Минеральная часть Тюльгансткого бурого угля в представлена силикатами, хлоридами и сульфатами. Органическая составляющая углей представлена, в основном, гуминовыми кислотами, состоящих из фрагментов ароматических карбоновых кислот в виде монозамещенных аренов.
Synthesis and properties of alkoxy esters of carbonic acids
Authors: Mammadova N.A. , Guluzade D.J.
Published: January 2023

The use of classical catalysts in the synthesis of mono- and diethers of carbonic acids faces problems such as the multi-stage and wastefulness of the process. In the presented article, esters of carbonic acids were synthesized in the presence of N-methylpyrrolidone, an ionic liquid catalyst. The reaction synthesized alkoxy esters of fatty acids using valerian, kapron, enant, caprylic (C4- C7COOH) acids such as carbonic acids and methyl and ethylcellulose. This catalyst is environmentally friendly, the ether yield is 92-95%.
Working memory capacity: the role of parameters of spiking neural network model
Authors:   National Research Lobachevsky State University of Nizhny Novgorod, Kovaleva Natalya , Matrosov Valerij ,   National Research Lobachevsky State University of Nizhny Novgorod, Mishchenko Mikhail ,   National Research Lobachevsky State University of Nizhny Novgorod
Published: January 2023

Purpose of this work is to study a computational model of working memory formation based on spiking neural network with plastic connections and to study the capacity of working memory depending on the time scales of synaptic facilitation and depression and the background excitation of the network. Methods. The model imitates working memory formation within synaptic theory: memorized items are stored in form of short-term potentiated connections in selective population but not in form of persistent activity. Integrate-And-Fire neuron model in excitable mode are used as network elements. Connections between excitatory neurons demonstrates the effect of short-term plasticity. Results. It is shown that the working memory capacity increases as calcium recovery time parameter grow up or the capacity increases with neurotransmitter recovery time parameter becomes lower. Working memory capacity is found to decrease to zero with decrease of the background excitation as a result of lower values of both the mean and the variance of the external noise. Conclusion. Working memory capacity was studied as a function of time scales of synaptic facilitation and depression and background excitation of the network. Estimated working memory capacity is shown to be possibly larger than classical experimental estimations of four items. But capacity strongly depends on intrinsic parameters of neural networks
Cuando los resortes no resisten: recentralización como estrategia autoritaria en Venezuela
Authors: Arellano Ángel
Published: January 2023

En este artículo se analizan los enfoques teóricos sobre democracia y autoritarismo haciéndolos dialogar con las dos décadas de la Revolución Bolivariana en Venezuela. Revisa el cambio de régimen durante el gobierno del chavismo (1999-actualidad) e identifica el rol del proceso de recentralización como estrategia en la transición hacia un autoritarismo hegemónico. ¿Qué efecto genera la recentralización y por qué sirve como punto de apoyo para el cambio de régimen? Se plantea que la concentración de poder, a través de la subordinación de las autoridades territoriales y el avasallamiento de la autonomía local dentro de un proceso de recentralización, da a los gobiernos un impulso para endurecer su accionar autoritario.
“El viento arrollador”: la irrupción de las jóvenes en la protesta del Ni Una Menos de Argentina
Authors: Friedman Elisabeth J. , Rodríguez Gustá Ana Laura
Published: January 2023

En 2015, el activismo feminista de Argentina alcanzó una escala sin precedentes con la marcha Ni Una Menos. Tomando esta protesta como terreno empírico, en este artículo se indaga en los factores que explican por qué las mujeres jóvenes se unen a los movimientos feministas. En particular, por qué se volcaron a las calles para protestar y denunciar los feminicidios y la violencia de género. Mediante entrevistas a jóvenes, a organizadoras de la marcha y a activistas feministas de larga trayectoria, se muestra cómo una convocatoria novedosa en términos prefigurativos y performativos, más la trama organizativa feminista preexistente, fueron condiciones que canalizaron una sensibilidad joven a la protesta callejera. El trabajo destaca las unidades generacionales, la disponibilidad estructural de la juventud y la política expresiva de los movimientos como condiciones para la protesta feminista juvenil.
Las codependencias de la agroindustria en Sinaloa, México
Authors: Mancera González Omar
Published: January 2023

La agricultura y la infraestructura hidráulica en Sinaloa conforman un binomio que genera codependencias, riqueza inequitativa y daños irreversibles en poblaciones humanas y el medio ambiente. Este artículo ilustra cómo la producción masiva de alimentos depende de una compleja infraestructura encabezada por doce presas y ocho Distritos de Riego, y de un modelo de producción enfocado en los mercados nacionales e internacionales. Mediante una investigación etnográfica, se plantea un diagnóstico que correlaciona esas codependencias con la vulnerabilidad de las poblaciones, la salud de los jornaleros, el desgaste del sector agrícola y con el impacto en la pesca marítima regional.
Students' Learning Experience in Using Online Learning Media in Covid 19 Era: A Case Study of Undergraduate Students of Tadulako University Palu
Authors: Khairunnisa  , Suriaman Aminah , Mukrim Mukrim , Manurung Konder , Marhum Mochtar , Rofiqoh Rofiqoh , Abidin Zainal
Published: January 2023

This research aims to find out and analyze learning experiences in using online learning media during the COVID 19 pandemic of the second-year undergraduate students of English Education study program at Tadulako University Palu. The researcher applied qualitative case study research methodology. It investigates intensively about an individual, group, or other units to find a general understanding of the subjects. The subject was selected using snowball sampling techniques in which the four students were chosen intentionally for research participants from 236 students. The researcher initially contacted her quittance then introduces her to the first interviewee, for good measure the interviewee introduce her to the next ones.  Data were collected through in-depth interviews and documentary data. In this research, the researcher found that the students from case two in Menui Island who are in their hometown during the online learning period faced a number of difficulties in their learning experiences. Their learning experiences include learning motivation and learning obstacles. The results have shown that the first is unavailability and unsustainability of internet connection, the second is the accessibility of the teaching media, and the last is the compatibility of facilities to access the media. The result of the current study suggests that accessibility of the internet connection is still the major factor influencing the success of online learning and concludes that the students have less motivation to study and face a lot of obstacles in the search for internet availability. Also implies that online learning media is considered an unsuccessful method of learning during COVID-19 era for students in the remote area particularly in Menui island. As a preventive action, the government should install more Telkom towers in remote areas like Menui in order for the students to achieve the national learning objective.
Comparison of biomarkers of COVID-19 patients with the alpha variant (B.1.1.7), the delta variant (B.1.617), and no mutation detected
Authors: KARADAĞ GENCER Sanem
Published: January 2023

Objectives: We aimed to compare biomarkers of COVID-19 patients with the Alpha variant (B.1.1.7), the Delta variant (B.1.617), and no mutation detected in our study.
Methods: A total of 600 patients with positive COVID PCR test and Alpha, Delta variant and no mutation detected with Covid PCR mutation test were included in the study. Troponin I, creatinine, Alanine Aminotransferase (ALT), Aspartate Aminotransferase (AST), Lactate Dehydrogenase (LDH), fibrinogen, D-dimer, ferritin, number of lymphocytes, lymphocytes (%), platelet (PLT), mean platelet volume (MPV), platelet distribution width (PDW), trombosite ratio in the blood (PCT), C-reactive protein (CRP) values were analyzed retrospectively. The age, gender, and hospitalization of the patients were evaluated concurrently.
Results: Age, troponin, creatinine, LDH, PLT, MPV, and D-dimer were laboratory parameters that vary significantly with COVID-19 virus mutation. Age, troponin, LDH, and MPV values were lower in patients with Delta variant according to patients with the Alpha variant. Lymphocytes (N) and lymphocytes (%) values were lower in hospitalized patients relative to outpatients while age, troponin, LDH, CRP, and D-dimer values were higher in hospitalized patients than outpatients irrespective of mutation. Creatinine values were higher only in hospitalized patients with no mutation detected while ferritin and fibrinogen values were higher in hospitalized patients with Delta variant and no mutation detected.
Conclusions: Age, troponin, creatinine, LDH, PLT, MPV, D-dimer, fibrinogen, ferritin, CRP, lymphocytes (N), and lymphocytes (%) values can guide to evaluate the diagnosis and hospitalization of patients with future different mutations.
Freedom of Association versus Freedom of Assembly
Authors: Nemtoi Gabriela
Published: January 2023

Freedom of assembly occupies an “eminent place” in the system of international acts aimed at the protection of human rights. In this sense, we mention that freedom of association and freedom of assembly are instruments of expression, of collective opinion and as such, due to their role in the existence and development of a democratic society, they assign a central place in establishing the democratic framework of state governance.
Freedom of association and freedom of assembly outline the essence of democracy which resides in its ability to resolve issues through public debate.
The protection of freedom of assembly targets precisely this exchange of ideas and the collective manifestations of social and political activity.
Freedom of assembly covers both private and public assemblies. In this sense, states have a positive obligation to protect those who exercise this freedom against the violence of counter-demonstrators. For this purpose, the states have a wide margin of appreciation of the necessary measures.
Activity of Public Libraries in Rural Areas during the Pandemic
Authors: Bilouseac Irina , Socea Mihaela
Published: January 2023

The public library, in accordance with the Library Law no. 334 of May 31, 2002, republished, is a decentralized public service, having a very important role in the life of the local community, being an information, education and recreation center, a space for socialization. Although the role of the library is extremely important in the life of a community, during the pandemic their activity, especially in rural areas, was influenced by the existing situation, many of these libraries even having to close their activity for a period of time. In this article we want to research the way this service functioned during the pandemic in rural areas, but especially to see what effects the pandemic had on the activity of public libraries, taking as an example the library of a medium-sized local community, namely the Borleşti library within Neamţ County.
Technical Translations in the Service of Political and Scientific Communication in Post-War Romania. The Case of Russian Translations and the Role of Arlus-Russian Book Publishing House
Authors: Catau Veres Daniela
Published: January 2023

The place of translations in the process of interpersonal communication can be defined on the one hand by referring to the linguistic aspect of the act of translation, so to the linguistic role of translation as a communication tool, and, on the other hand, by recalling the epistemological value of translation seen as an opener of the road to knowledge in a broad sense. In fact, translation unites cultures, creates bridges to knowledge and participates in its spread. However, for the current research, we have chosen to talk about the social role of translations, which, beyond their linguistic and epistemological role, can become a political and scientific communication tool at the disposal of some social actors holding political power. We will briefly present here the role of technical translations in political-ideological and technical-scientific communication in Romanian society from the immediate post-war years in Romania, which entered an accelerated process of sovietisation of society. Translations became an instrument of political power used in changing mentalities, in educating the masses according to Soviet standards and in the political transformation of society.
Third Party Litigation Funding – between Business Opportunity and Facilitating Access to Justice
Authors: Dumitru-Nica Maria
Published: January 2023

On the one hand, the financial support that a litigant can obtain in order to bear the costs that litigation would entail would considerably facilitate the party's access to justice, but, on the other hand, precisely this difficult situation in which can find a litigant, can also be seen as a business opportunity for specialized companies that aim to make investments under the most conveniant conditions.
The present article proposes a brief analysis of some aspects regarding a new trend in today's litigation funding which, at least at first sight, proves to be attractive and interesting: third party litigation funding.