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The cylindrical Pirani gauge sensitivity under different conditions is studied in our previous paper. We are modeled the Pirani gauge as cylindrical Couette flow – one dimensional axis symmetrical problem by using a statistical method – Direct Simulation Monte Carlo (DSMC) and the Navier-Stokes-Fourier equations numerical solving. The purpose of this article is to study the cylindrical two-dimensional Taylor-Couette flow with finite length of rarefied gas. The suddenly temperature change of the inner cylinder wall (the fiber) is used to modeling the boundary conditions. The finite volume method and statistical modeling is used to study this problem. This paper is a continuation of our previous work which we extend the study using the NSF model and its numerical solution to assess the applicability of the obtained results. The state of the gas is studied over a long time period close to establishing a steady state in the previous work, while in this paper is studied the initial moment of occurrence and reflection of the wave from the other cylinder. The realization of such conditions is difficult technically feasible in some cases, but their set in mathematical model gives more opportunities to study the stability in the gaseous medium between the cylinders. [ABSTRACT FROM AUTHOR]

This paper provides healthy lifestyle of diabetic patients by using mathematical modeling. In this paper we construct a mathematical model of diet planning for diabetes. The formulated mathematical model is the application of linear programming and integer programming. All the requirements and restrictions were fulfilled in the mathematical model which was developed in this paper. An optimal and feasible solution was produced by using linear and integer programming. This optimal solution gives the diet problem of diabetic patients. All the constraints and objective functions are defined in the diet problem. To provide daily needs of supplement for the particular age of diabetic patients. [ABSTRACT FROM AUTHOR]

Entropy is one of the important concepts in physics and thermodynamics and it is one of the quantities surrounded by amount of mystery. The ambiguity of this concept is due to several reasons, including the mathematical and physical interpretation of the concept as presented by Clausius. This ambiguity is also due in part to the widening of the use of the term entropy to represent several physical concepts that are not related to the basic concept of entropy as introduced by Clausius himself. In this paper, the mathematical and physical modeling of this term will be reviewed. Furthermore, this paper will show how does this term has been used to describe some physical concepts which are not related to the original use of it. And finally, in order to remove the confusion and ambiguity surrounded this term, the paper will show how should the entropy explained and understanding from the macroscopic thermodynamics point of view. [ABSTRACT FROM AUTHOR]

Despite the advantages of cloud computing, such as its scalability and accessibility, the security of the data it holds remains a major concern. This paper proposes a hybrid structure that combines the features of two well-known encryption algorithms. The hybrid structure adopts the DES' flexibility and efficiency while also taking advantage of AES' robustness. Our goal is to offer a higher level of protection for sensitive data that is stored in cloud computing. The paper presents an overview of the various aspects of the proposed architecture, including key management, decryption, and encryption. The first step in the encryption process is to implement the AES before adding the DES for security. The paper provides an overview of the various distribution and key generation techniques. They are designed to ensure that the data is protected from unauthorized access. In addition, we discuss the decryption process, which enables users to retrieve the original data. We performed extensive tests to analyze the security and performance of the proposed architecture. These tests included comparisons with the standalone DES and AES algorithms. The results of the tests revealed that the proposed architecture performed better than the standalone DES and AES algorithms in several aspects. In addition, it exhibited better decryption and encryption speeds. The hybrid structure's improved resource utilization also leads to lower system memory and CPU utilization. Its high throughput helps improve system responsiveness and data processing. The proposed architecture ensures the security of sensitive data by minimizing the time it takes to generate and manage key generation. It also helps improve the efficiency of the process by reducing the file size overhead. The findings of the study highlight the advantages of implementing the hybrid structure in protecting sensitive data stored in cloud computing, as well as its viability. The combination of the DES and the AES offers a flexible and robust approach to safeguarding information. This report serves as a valuable contribution to the field of data security by providing a practical solution to the cloud computing security issues. [ABSTRACT FROM AUTHOR]

The problem of developing alternative energy sources with high efficiency was posed back in the middle of the 20th century. One of the possible ways to solve it is the development of systems based on direct absorption solar collectors based on nanofluids. Systems of this kind are the most environmentally friendly and modern, the disadvantages of which include the complexity of maintenance and climatic restrictions of widespread use. The aim of this paper is to determine ways to increase the efficiency of heat transfer in systems for collecting and storing solar energy by means of mathematical modeling of heat and mass transfer processes in direct absorption solar collectors based on nanofluids. When constructing a mathematical model, the contributions of the diffusion and electrostrictive components were taken into account. A mathematical model of heat and mass transfer in a liquid-phase medium with nanoparticles under the action of a light field is investigated, taking into account one-dimensional concentration convection in the form of a boundary-value problem for a system of second-order partial differential equations. The reported study was funded by RFBR, project number 19-31-90070. [ABSTRACT FROM AUTHOR]

In this paper, the spread of the Covid-19 in.Indonesia is described by the SIRD epidemiological mathematical model. The mathematical model used in this paper is Susceptible, Infected, Recovered, Death (SIRD). The modified extended Kalman filter algorithm is applied to predict the spread of Covid-19 in.the future. We modified the algorithm by generating real data based on the previous estimation results. The real data generated from the generation is used at the correction stage to obtain prediction results in a fairly long period. Simulations were carried out with three types of mobility restrictions, namely mobility 100%, mobility 75%, and mobility 50%. Based on the simulation results, it can be concluded that mobility restrictions in Indonesia, which starts on September 4, 2020, can reduce the number of infected and death individuals and can increase the number of individuals who recover from Covid-19. [ABSTRACT FROM AUTHOR]

The new coronavirus that is the source of the pandemic respiratory infection known as COVID-19 poses a major risk to the public's health. In this paper, we present a mathematical model of the spread of an infectious disease according to the characteristics of the COVID-19 pandemic. The proposed improvedmodel is developed on the AnyLogic system, which will be referred to as the SEAIR (Susceptible-Exposed-Asymptomatically Infected-Symptomatically infected-Recovered) model. The paper considers mathematical models that are used to analyze and predict the development of the COVID-19 pandemic, including time series analysis, equations of mathematical physics and simulation models, their various combinations and generalizations. Due to the novelty and complexity of the COVID-19 disease, the parameters of most mathematical models are usually unknown, and this leads to the need to consider and solve inverse problems. [ABSTRACT FROM AUTHOR]

It is difficult to deal with the uncertainty data issue which has incompleteness, impreciseness and incertitude. Normally, uncertain and vague information is confronted in form of data point. Various mathematical models were developed to resolve issues concerning uncertainty point. In this paper, Neutrosophic Bézier Curve model will be introduced. A mathematical model with a redefinition of the control points that is characterized by three important components of neutrosophic set is designed to solve this problem. These control points are blended with the Bézier basic functions to generate multiple models in the form of neutrosophic spline curve and surface. Then, the related data can be translated through the construction of those models with the neutrosophic concept and its relationships. [ABSTRACT FROM AUTHOR]

The regular propagation of electrical signals in the cardiac tissue is essential for the proper functioning of the heart. Disorders of this rhythm are collectively called cardiac arrhythmias. These diseases include, for example, cardiac fibrillation. This condition is characterized by the chaotic propagation of control signals in the tissue, which prevents its proper function. This paper analyzes the transmembrane potential of cardiac cell mathematical models depending on the stimulation current. In these data, chaotic responses of heart cells are detected using modern and classical methods for analyzing dynamic systems such as entropy, the 0-1 test for chaos, or recurrence quantification analysis. This analysis displays stimulation parameters, during which the mathematical models show chaotic responses. [ABSTRACT FROM AUTHOR]

In this paper, the performance of a supercapacitor (SC) under constant power loads is studied. The equivalent electrical circuit of a SC considered in this study takes advantage of its simplicity to obtain analytical solutions. The mathematical model of the SC neglects the transient response but, due to the consideration of a variable capacitance, it accurately reproduces the steady-state response for a wide range of charging/discharging power. The integration of the governing differential equation of the SC leads to a complex relationship between SC voltage and time. From this equation several explicit expressions (i.e., charging and discharging times, ohmic losses, efficiency, etc.) as a function of the SC voltage are derived. These variables are useful to size and define the energy management strategy of a SC or a bank of SCs in many constant power applications. The performance of a commercial supercapacitor that has been previously tested and modelled is analysed. [ABSTRACT FROM AUTHOR]

With the development of science and technology, UAV technology and application have become an increasingly important field. The four-rotor aircraft has a simple structure and diverse functions and has been widely used in many fields. In practical applications, it is necessary to strictly ensure the stability of its flight, so it is very important to ensure stability when designing the control system. Knowing that the PID control algorithm can improve the stability of the system by adjusting various parameters, and the response speed is fast and easy to realize, this paper adopts the PID control method to design a stable quadrotor aircraft system. In this paper, the mathematical model of the four-rotor aircraft is first established according to the dynamics theory, and its system composition and working principle are shown, which lays a structural foundation for the subsequent design. After that, the basic principle and function of PID control are expounded, and the corresponding controller is designed based on the algorithm in the four attitude directions of vertical, pitch, roll, and yaw. Finally, the control system is simulated by establishing a model on Simulink and inputting appropriate parameters. The results show that the speed of the PID controller can meet the corresponding control requirements in the simulation of four channels, which indicates that the design method is feasible and can guarantee the stability of the system. This study verifies the effectiveness of PID control of four-wing rotary-wing UAVs and provides a basis for further exploration of algorithm improvement and innovation and improvement of aircraft stability. [ABSTRACT FROM AUTHOR]

In this paper, we describe the dynamics of the spread of the COVID-19 disease. In this paper, a mathematical model of the problem is rewritten. Mathematical models can be used to find strategies to prevent the Coronavirus disease spread. A Susceptible-Exposed-Infected-Recovered (SEIR) mathematical model in the spread of COVID-19 disease is solved using fourth and fifth-order Runge-Kutta methods. The simulation results of the two methods show the same pattern of solution behavior as the results of the reference solution obtained using the ODE45 algorithm in the MATLAB software. Theoretically, the accuracy of the fourth-order Runge-Kutta method is not better than that of the fifth-order Runge-Kutta method. We show the correctness of this theory through simulations in this paper by solving the SEIR mathematical model for the COVID-19 disease. [ABSTRACT FROM AUTHOR]

Investment decision is difficult to be determined as the investors need to earn highest possible return in generating profit and protecting capital. Mathematical model which can provide the ranking and proportion of the investment alternatives will benefit investors as selection guideline. This paper aims to investigate in ranking and allocating proportion of asset funds using fuzzy preference relation and weighting algorithm. The evaluation of asset fund is expressed in trapezoidal fuzzy number. The data used for this study is 30 asset funds that listed in the Bursa Malaysia. This study found that 14 asset funds are suggested based on ranking and proportion allocation obtained from this model. As a conclusion, this study can assist investors in making decision in terms of ranking and allocating asset funds. [ABSTRACT FROM AUTHOR]

Two stroke engines is comparatively small, simple in operation with less cost because of absence of valve mechanism. The performance of the engine is such that it has low brake thermal efficiency and higher exhaust emission because of incomplete combustion which results into high emission and fuel consumption. Scavenging is important for improvement of the engine performance by removing the exhaust gases from the engine. The paper details the modification in the engine for enhancing the scavenging process so that performance of engine in terms of brake power and thermal efficiency will increase. The modification in the two stroke engine is done by providing hole in transfer port for air aspiration. The general concept in using external air aided scavenging is to improve scavenging characteristics of base engine by reducing short-circuiting phenomenon. Investigation of the modified engine were done by evaluating the brake power and thermal efficiency of two stroke engine using the mathematical tools such as mathematical modeling, sensitivity and optimization. The paper highlights the modification in the engine to enhanced the performance of engine and the formulation of mathematical model. The formulated mathematical model predicts the performance of engine with the help of indices of each pie term formed with input variables. The positive indices of the pie term indicate the most influencing pie terms responsible for variation in the output variable such as brake power and thermal efficiency. The negative indices of the pie term indicate the inverse effect on the output variables as it is inversely proportional to the output variables brake power and thermal efficiency. Thus the exact mathematical model help to investigate the performance of the engine at lower cost with less time involved in experimentation. [ABSTRACT FROM AUTHOR]

It takes millions of years for a star to get formed. The evolutionary process of star formation undergoes various stages. Theoretical and astronomical calculations confirm the series of events from nebula to a white dwarf, neutron star, or black due to conversion of mass into energy. This paper deals with the stability analysis of a mathematical model which governs star formation during the ever-changing process of evolution. Variation matrix or Jacobian Matrix is developed out of the differential equation which arises from three components of the galactic region that is atomic, molecular, and stellar components. The mathematical model is the best way to explore and explain the system of three components in the galactic region. In fact, Mathematical Modelling-is the main, if not the only way one, way for theoretical research of astrophysical processes and objects. Various examples have been taken for comparative studies and computational purposes. [ABSTRACT FROM AUTHOR]

Silicon has remarkable mechanical properties, and it is a very promising material for MEMS pressure sensors. The Silicon diaphragm plays an important role in enhancing the sensitivity and linearity of the pressure sensor. In this paper, a silicon diaphragm is modeled by solving the analytical equations for both rigidly clamped and freely supported diaphragms by exploring the solution of differential equation and dependency on the different parameters of the diaphragm. For obtaining maximum deflection of the diaphragm, boundary conditions are applied for different loads. COMSOL Multiphysics is used to simulate the optimum geometry of the diaphragm for enhancing the sensitivity of the pressure sensor. Results reveal that diaphragm thickness of 20 µm shows the high displacement sensitivity of the pressure sensor. [ABSTRACT FROM AUTHOR]

The task of developing effective granular aggregates, as well as the creation of a mathematical model and management of this process, is the most promising and relevant. The paper deals with the construction of mathematical models based on the results of experimental studies of granular aggregates (GA). We present the processing of the results of experimental studies on the production of granular aggregates using the classical method with the use of the high-level general-purpose Python programming language. The processing of research results is fully object-oriented. This approach to the generation of the obtained results allowed us to automate the processing of the array of data for the planning of the experiment. The results of mathematical modeling and nomograms reflecting the variability of the developed compositions, which allowed to obtain samples with the required technological, physical-mechanical and operational characteristics are presented. The paper calculates the values of reproducibility dispersions: for sand fraction ≤0.16 mm - 0.889; for sand fraction ≤0.315 mm - 0.967; for sand fraction ≤0.63 mm - 0.981. The analysis of nomograms has shown that the greatest strength values have the compositions with the sand fraction of 0.16 mm and the minimum content of sand (as an aggregate). For mixtures with sand fractions ≤0.315 mm it is established that the strongest will be the mixture with the minimum content of aggregate. It is revealed that when using sand fraction ≤0.63 mm the strength is reduced. [ABSTRACT FROM AUTHOR]

The introduction of new repair technologies requiring production readjustments is inextricably linked with the development of effective digital modeling methods. The paper presents some research results on the creation of a methodology for the automated design of technological processes for the production of car repair enterprises, based on digital modeling of car structures and technological processes of their repair. The article considers the method of constructing a mathematical model of the car (or its unit) structure, created on the basis of the structural-parametric method, which allows the most efficient way to carry out the exploding of the structure and the formation of the composition of sets of technological documentation for the repair of cars. The block diagram of the automatic coupler and the graph, which is a mathematical description of this structure, are given. [ABSTRACT FROM AUTHOR]

In the paper numerical study results of polymer melt flow on the cable head channels have been presented. The distinctive feature of the present investigation is calculation of a free outflow zone at the flow exit from the cable head. In the work a mathematical model of the isothermal three-layer flow with regard to viscoelastic properties of the processed materials has been given. The ANSYS POLYFLOW software package was used to solve the problem. The Maxwell model describing the viscoelastic properties of the examined materials has been applied. The mathematical model of the flow process was based on the laws of conservation. Calculation results have been velocity, pressure and current functions fields, boundaries of the external free surface at the cable head outlet. Diagrams of changes in the insulation thickness for different sections of the sector are given. [ABSTRACT FROM AUTHOR]

The solution to the problem of the movement of an aircraft along the runway in a turbulent atmosphere is a complex and urgent problem. The complexity of the problem lies in the fact that, in the general case, the mathematical model of the problem is reduced to solving nonlinear differential equations, the right side of which is a random function caused by the presence of a turbulent atmosphere. To solve this problem, simplified models of the problem are used, and linear differential equations describe it. If the plane is an inherently deformable solid, then the problem is mathematically described with weakly singular integrodifferential equations with given initial conditions. The present work is devoted to the solution of such problems. In this paper, using the method of eliminating the features of integral and integrodifferential equations, an algorithm for the numerical solution of weight functions has been developed, which allows, in particular, to obtain numerical solutions to the problem when an airplane is considered an ideally elastic solid. Consequently, the algorithm and method of solving the proposed in this paper allow you to test the accuracy of the solution by comparing it with well-known solutions. [ABSTRACT FROM AUTHOR]

Earlier experimental and theoretical studies of slow-speed compressor stages have shown that the design of the valves has a decisive influence on the efficiency of their operating process. In this paper, we consider the design of self-acting valves with elastomeric elements, the deformation of which changes the perimeter of the valve gap in the closed state. As a result of mathematical modeling and comparative parametric analysis, it was determined that the perimeter of the gap in the closed valve can significantly decrease, which leads to the decrease in the amount of leakage through the closed valve and an increase in such integral characteristics as the volumetric efficiency and the indicator efficiency. [ABSTRACT FROM AUTHOR]

Hoax is an information or explanation with unconfirmed truth. Nowadays, social media is the most used media in hoax propagation. If no action is taken, hoax propagation can cause serious problems. In this paper, a mathematical model representing social media hoax propagation with forgetting mechanism is analyzed in order to study the dynamics of social media hoax propagation in real life. Based on the analysis result, we obtain two equilibria, namely, non-endemic equilibrium and endemic equilibrium whose local stabilities depend on the basic reproduction number or R0. Social media hoax propagation occurs when R0 > 1 and does not occur when R0 < 1. Based on the sensitivity analysis result, the probability that a hoax is considered attractive and the forgetting rate of social media users against hoaxes are the most influential parameters on the dynamics of social media hoax propagation. Next, in order to minimize the number of hoax spreaders and hoax contents on social media, three control variables, namely, anti-hoax campaign, punishment for hoax spreaders, and hoax deletion by authorized parties, are imposed to the mathematical model. The optimal control problem in this paper is solved by using Pontryagin Maximum Principle. The numerical simulation result shows that the bundle implementation of three control strategies is the most effective scenario to minimize the number of hoax spreaders and hoax contents on social media. [ABSTRACT FROM AUTHOR]

This paper presents the physico-mathematical model of the airflow in the vicinity of the surfaces of the generating sets. Using the developed model, we have carried out the numerical study on the air motion around the generating sets and obtained the distributions of the temperature and air velocity. We have determined the values of the heat fluxes under the natural convective and forced air flow regimes, providing thermostating of the electrical equipment. [ABSTRACT FROM AUTHOR]

Inventory control problem becomes one of the most crucial parts in a company. Basically, the problem is to determine the optimal time and quantity of replenishment. But, there are many factors affected the decision such as demand uncertainty, lifetime of the product, deterioration, unit sales price and discount offered by the supplier. In this paper, we consider a mathematical model for inventory control problem. We consider a multi-item problem with inventory and price-dependent demand and all-units discount offered by the supplier. In dealing with multi-item problem, there are two replenishment policies to consider, individual order and joint order policy. Numerical examples are given with different inventory and price-dependent demand functions for each item and compare the individual and joint order policy. We found that in our numerical example, joint replenishment policy gives lower total inventory cost compared to the individual order policy. [ABSTRACT FROM AUTHOR]

Good and properly organized inventory management is essentially needed for a company in order to ensure that its production process runs smoothly. There are many factors to be considered since they can distract the inventory management such as demand behavior, the life time of goods, uncertain replenishment time, the political and economic situation, and unexpected natural disaster. There are certain risks involved with bulk replenishment such as the higher holding cost and the possibility of damage to the stored goods. On the other hand, if we order too little, the risks lie in the possibility that the production process will stop, resulting in lost sales due to the unavailability of goods. One strategy to overcome this unavailability of goods is backorder, where the customers will wait until the next replenishment to obtain their goods. This paper develops a mathematical model for inventory-dependent demand with the backorder policy applied. The decisions variables in our model are the optimal order quantity and the number of backorders, which minimize the total inventory cost. We also performed a sensitivity analysis of the optimal solution and found that the decreasing rate of the inventory is affected by the autonomous demand (α) and the increasing demand factor (β). Inventory will deplete faster as α and β increase. The number of backorders is affected by the high demand when inventory reaches zero and backorders entail a certain cost. When demand is higher and the backorder cost is relatively cheap, the number of backorders becomes higher. [ABSTRACT FROM AUTHOR]

Elementary cellular automata (ECA) rule 184 can be used as mathematical models of traffic flows. The slow-to-start model is obtained from the ECA rule 184 model by taking time lag for restart into consideration and is represented by 3-state 3-neighbor cellular automata (CA). In the present paper, we propose a traffic model where vehicles following the slow-to-start rule and those not following the slow-to-start rule are mixed. This model, called the mixed slow-to-start model, is represented by 4-state 3-neighbor CA. Further, we introduce the vector representation of CA with the slow-to-start rule and with the mixed slow-to-start rule, and then get their corresponding fuzzy CA. These fuzzy CA provide continuous-valued traffic models with the slow-to-start effect. Comparing the fundamental diagrams of the the slow-to-start model, the mixed slow-to-start model, and their fuzzy counterparts, we investigate the influence of the density and the mixing ratio of vehicles on traffic jams. [ABSTRACT FROM AUTHOR]

This paper examines the methods of similarity and dimensional analysis. The methods in question are the mathematical modeling theoretical basis in the research of the fixed connection contact of car body parts. The paper provides a detailed overview of the basis of the similarity and modeling theories with regard to solving visco-elastic boundary value problems. The mathematical modeling conditions to examine the stress-strain state of car body parts are presented as well. The analytical dependencies obtained make it possible to model the stress-strain state of car body parts under normal operating conditions. [ABSTRACT FROM AUTHOR]

The paper presents a mathematical model of the temperature field of an infinite cylinder, heated by a moving, dispersed, on a finite segment (in an extruder), a heat source. Heating of the cylinder by both internal and external heat sources is considered. The mathematical model is constructed in the form of a nonlinear boundary value problem for the heat equation with conjugation conditions in three combined domains. A method for solving the problem is proposed. It consists in introducing a moving system of dimensionless coordinates. Further, the solution of the problem is reduced to the solution of a system of one-dimensional boundary value problems for ordinary differential equations of the second order with conjugation conditions on the boundaries of the domains of definition of the equations and a regularity condition at infinity. The function of a heat source, internal or external, is written using the Heaviside unit function. In the linear case, an analytical solution is obtained and a graph of the temperature distribution is constructed. The mathematical model, which is built in this work, allows us to describe the temperature distribution in a filament during 3D printing. The temperature distributions of a filament both in the extruder and outside of it have been constructed for various conditions for controlling the process of additive manufacturing of parts. [ABSTRACT FROM AUTHOR]

The paper presents a new mathematical model of the convection-diffusion process with 'memory along the flow path'. It is described by one-dimensional initial-boundary value problem with a fractional derivative along the characteristic curve of convection operator. The constructed model satisfies the local and global conservation laws. The finite-difference approximation of the problem is constructed on the base of Lagrange approach. The stability and discrete conservation laws are proven for algorithmic realization of this approximation. [ABSTRACT FROM AUTHOR]

In this paper an advanced stochastic approach based a lattice rule with improved generating vector has been obtained and studied. The Unified Danish Eulerian Model (UNI-DEM) is a key element in our investigation since it is one of the most advanced large-scale mathematical models that describes adequately all physical and chemical processes. The calculations are done in a large spatial domain, which covers completely the European region and the Mediterranean, for certain time period. What is more, it studies the transportation of a number of pollutants and all these make it a perfect case study. The paper compares the described lattice rule and demonstrates its superiority over the plain Monte Carlo approach and Fibonacci based lattice rule. The proposed approach is robust and computationally efficient in estimating multidimensional integrals and thus sensitivity indices, which is vital in scientific computing. [ABSTRACT FROM AUTHOR]

This paper consist of mathematical modeling of the Wankel engine simulated in GNU Octave software. Main purpose of this study is to make an algorithm that can simulate a wankel engine that can estimate performance of engine. For any starting initial condition of engine and based on thermodynamic conditions algorithm predict output result from an engine. Simulation code consists of the construction of an engine which consists of radius, thickness and eccentricity of the engine. These construction parameters can be altered to various sizes according to the needs of the user. Code is capable of deriving various engine performance variables, combustion parameters, and cycle parameters such as pressure, temperature, heat transfer coefficient, work done, etc at any rotor angle according to construction parameters. Code is capable of handling various fuel data and conditions. This model can be used to determine values theoretically with any engine size, fuel, rpm, and running condition. Similar to engine size, the condition of the flame propagation can be altered to practically any value. In case of an actual scenario, needs of initial pressure and temperatures can also able to change. As codes are based on a thermodynamic equation model, it benefits low computing power and low simulation time. Codes have been tested by keeping similar conditions of previous research papers and showing good agreement result with this code. [ABSTRACT FROM AUTHOR]

In this paper for the first time a Hammersley and van der Corput sequences comparison for multidimensional sensitivity analysis has been done. Sensitivity analysis of model outputs to variation or natural uncertainties of model inputs is very significant for improving the reliability of these models. By definition, sensitivity analysis is a procedure for studying how sensitive are the output results of large-scale mathematical models to some uncertainties of the input data. The algorithms for multidimensional sensitivity analysis are applied to compute global Sobol sensitivity measures corresponding to the influence of several input parameters on the concentrations of important air pollutants. A deep experimental investigation is done to demonstrate the pros and cons of both approaches in the case study of the considered model. [ABSTRACT FROM AUTHOR]

Background subtraction for foreground detection has been commonly applied for varying usages to identify objects in motion within a scene, such as that in video surveillance. In fact, significant publications were noted in the last decade within this area of background modelling. Despite the several surveys noted in the literature, none has offered a comprehensive review in this field. Therefore, this paper elaborates both conventional and recent approaches in light of background modelling. Initially, the approaches listed in the prior works were categorized depending on mathematical models. Next, these models were analyzed based on challenging scenarios that they managed, the challenges and issues are then summarized. After that, an enhanced method is proposed, resulting from hybridizing the weight optimizations from CNN with a set of customized features derived by the Viola-Jones detector to enhance the overall network's effectiveness. The initial findings show that the proposed method superior the state-of-the-art models with respect to accuracy, recall, precision, and F-measure. [ABSTRACT FROM AUTHOR]

The paper considers the construction of a mathematical model and the development of an algorithm for studying the free vibrations of a three-layer circular shell with a light transverse isotropic aggregate, supported by longitudinal rigidity ribs under load in the middle surface of the outer layers and ribs. The ribs are symmetrical about the middle surface of the three-layer circular shell. The rigidity of the ribs and the distance between them were considered the same. Kirchhoff-Lev hypotheses were accepted for the outer bearing layers, and a linear law of variation of tangential displacements in thickness was used for the aggregate and ribs, and the bending of the ribs in the vertical plane was taken into account. The system of differential equations of free vibrations of the reinforced three-layer shell, which is obtained on the basis of the Ostrogradsky-Hamilton variational principle, is simplified by introducing the functions F and ψ. The boundary conditions of the area of the shell closed between the ribs are set. With the help of the boundary transition, the conditions along the lines of the ribs are obtained, taking into account and without taking into account the shear deformations in the ribs, but without taking into account the torsional rigidity of the ribs. The equation of motion of a reinforced three-layer shell is obtained. The frequencies of free vibrations were studied and the values of the parameter of the first frequency of free vibrations for the circular shell supported by one and three longitudinal rigidity ribs depending on physical and mechanical properties of materials and geometric dimensions of the shell, curvature parameter and aggregate rigidity parameter were calculated. The tables for determining the coefficient of the first frequency of free vibrations ω for the shell supported by one and three rigidity ribs at δω = 0.2 and different values of the shear parameter kо and the rigidity parameter γ are given. [ABSTRACT FROM AUTHOR]

In the paper, one parabolic-type boundary value problem is solved for determining the temperature field of the raw cotton and air components in drum dryers. In the proposed model, convective heat transfer is used according to Newton's law and the evaporation of moisture from the components of raw cotton (seeds, fiber) and the influence of air velocity are taken intoaccount. The resulting system of Galerkin's differential equations is solved by the finite-difference method in time. It is shown that the approximate solution is estimated according to Galerkin method in Sobolev space. The numerical results of the considered problem are obtained by the Bubnov–Galerkin method. A comparative analysis is carried out with experimental data. It is shown that the proposed mathematical model and its numerical algorithm adequately describe the drying process of raw cotton. [ABSTRACT FROM AUTHOR]

The paper presents the results of numerical simulation of the airflow as compressible viscous heat-conducting medium in the tear-off zones arising near the surface of a high-speed aircraft having a segmental-conical shape blunted frontally to the oncoming flow. The developed mathematical model is based on solving the discrete analogs of the equations of gas dynamics on a structured computational grid for compressible viscous heat-conducting chemical neutral gas. For turbulence modeling two equation of the SST k-w model were added to Navier-Stokes equations. The presented results of modeling are compared with experimental data. The conclusions are made about the correctness of the application of the presented mathematical model for the prediction of flow parameters in tear-off zones. [ABSTRACT FROM AUTHOR]

The paper presents a method for determining the force characteristics of the cutting process, introduced in the format of a modular system. The modules of input data generation, experiment planning, and results processing are highlighted and considered. The developed modular system makes it possible to obtain a polynomial dependence of the force characteristics on the processing parameters in a given technological area, which guarantees high accuracy of analytical calculations and eliminates errors associated with extrapolation. Within the modules, several features are considered, ensuring the connection of mathematical modeling and mechanical processing processes. In particular, the definition of the most significant parameters, the imposition of technological limitations, the use of multifactorial experiments, including fractional factorial ones, methods of decoding dependencies into natural values, and errors that arise in this case are considered. The use of the proposed modular system is demonstrated by examples of external longitudinal turning, drilling, and threading with taps and threaded cutters. It is shown that the use of this modular system makes it possible to predict the values of the cutting force within the factor space with an error of 2%. [ABSTRACT FROM AUTHOR]

This paper focuses on the use of MATLAB SimBiology (version MATLAB R2019b) as a tool for modeling, simulating, and analyzing cancer diseases. The article describes the process of building a model of cancer disease in the SimBiology Model Builder application based on a mathematical model that considers the process of tumor spread through the affected organ as an interference competition and takes into account tumor angiogenesis. An extension of the built model based on compartment modeling is presented, which simulates the ability of malignant tumors to metastasize and form new lesions. The results of simulation modeling with metastasis in the SimBiology Model Analyzer application are also presented. Secondary tumors are assumed to have the same properties as the primary lesion. There are two treatment delivery options in the model with metastasis that are considered: the implementation of constant continuous treatment using events and the implementation of discrete drug delivery using repeated or scheduled doses. In both treatment models, it is assumed that drugs are consumed only to suppress malignant cells, and their side effects are neglected. The response of tumor dynamics to treatment was simulated, and results are presented in this article. [ABSTRACT FROM AUTHOR]

For reentry in Mars atmosphere, inflatable braking devices are interesting as they do not use rigid heat shields, parachutes, or retrorockets which limits the mass to send into space. This paper focuses on one MetNet probe, to validate the use of inflatable braking device geometry. This study shows the results on aerodynamic coefficients determined using different solvers from OpenFOAM [9] software in distinct configurations exposing the effect of small deformations of the braking device in the stages of the probe's reentry. Finally, this study shows final velocity determined using a Python program and compared with expected values on different locations on Mars's surface. [ABSTRACT FROM AUTHOR]

Alzheimer's disease (AD) is a neurological disease that wreaks havoc on memory and cognition. Extracellular plaques composed of amyloid peptides and intracellular neurofibrillary tangles of hyperphosphorylated tau proteins are two neuropatho-logical markers of Alzheimer's disease. Currently, there is no medicine that can cure, stop, or even delay the disease's progression. In this paper, a mathematical model of AD is developed that incorporates pyramidal neurons, hyperphosphorylated tau proteins, microglia, and peripheral macrophages to calculate dendrites' complexity. A set of partial differential equations represents the model by incorporating Aβ cascade, tau, and oxidative stress hypothesis. Real-time simulations have been performed to validate the different types of medications that have failed or are presently undergoing clinical trials. [ABSTRACT FROM AUTHOR]

This paper introduces a mathematical model of SEIR for the spread of Ebola disease by appending one bat vector so that the model comes in as SEIR-SEI. We form a mathematical model into a non-linear differential equation system with seven dependent variables, and analyze a non-linear differential equations system to find the basic reproduction numbers and the equilibrium point of the system. Our study reveals that the stability analysis of the disease-free equilibrium is locally asymptotically stable if R0 < 1 and R1 < 1 so the infection will disappear from both human and bat populations. This paper also reveals the existence of endemic equilibrium points when R0 > 1. Numerical simulations are present to figure out the stability analysis of the endemic equilibrium points and to show that the numerical simulations are matching the model analysis. [ABSTRACT FROM AUTHOR]

This paper studies the cooling of coffee phenomena using a first-order linear ordinary differential equation (ODE). There are two models that we propose to investigate this phenomenon. We solve the models analytically to obtain the evolution of the temperature as a function of time. Some numerical simulations are presented by solving the model numerically using the Euler and Heun methods. Moreover, the numerical simulations will be applied to adjust a constant parameter of proportionality of the model that will be suitable for the primary data collected from self-experimentation. The result from the first model shows that the coffee temperature decreases to 0°C as a stable, steady state. Meanwhile, the second model simulation shows similar behavior towards room temperature, which is also the only equilibrium point. In addition, RMSEs for the Euler and Heun methods are used to examine the accuracy of both techniques, and we conclude that the Heun method gives a better approach than the Euler. [ABSTRACT FROM AUTHOR]