Fractional order COVID-19 model with transmission rout infected through environment

<abstract><p>In this paper, we study a fractional order COVID-19 model using different techniques and analysis. The sumudu transform is applied with the environment as a route of infection in society to the proposed fractional-order model. It plays a significant part in issues of medical and engineering as well as its analysis in community. Initially, we present the model formation and its sensitivity analysis. Further, the uniqueness and stability analysis has been made for COVID-19 also used the iterative scheme with fixed point theorem. After using the Adams-Moulton rule to support our results, we examine some results using the fractal fractional operator. Demonstrate the numerical simulations to prove the efficiency of the given techniques. We illustrate the visual depiction of sensitive parameters that reveal the decrease and triumph over the virus within the network. We can reduce the virus by the appropriate recognition of the individuals in community of Saudi Arabia.</p></abstract>

Circuit convergence study using machine learning compact models

Machine learning (ML) compact device models (CM) have emerged as an alternative to physics-based CMs. ML CMs can find a mathematical model close to the device characteristics without much prior knowledge, which saves the time of model formation. Additionally, versatile capabilities such as process-awareness, model merging, and fitting new technologies, promote the usage of ML CMs. While ML CMs draw great attention in CAD, their convergence in SPICE has not been carefully studied. Here different activation functions are used to create ML CMs, and then the circuit convergence is tested. We found that inverse square root unit (ISRU) activation has the best convergence. Besides, gate-to-source and gate-to-drain capacitance is founded to benefit the convergence in transient analysis. The circuit convergence rate is 100% for ISRU, sigmoid, and tanh when the capacitor is present. On the other hand, ISRU significantly outperforms other activation functions in DC sweep, achieving 81% convergence. If quasi-static transient analysis is employed to replace DC sweep, 100% convergence is achieved by ISRU. Due to its superior convergence, ISRU is the most promising for future ML CMs in SPICE.

Informational aspects at model of power consumption by main drainage facilities of iron-ore mining enterprises

The work investigates into variable informational approaches to modeling power consumption by main drainage facilities of ore mining enterprises with underground mining method. Methodological recommendations for using the models are also designed. The research deals with general methodological approaches to model formation with both power consumption indices for drainage facilities and corresponding costs. Logistics of model formation is substantiated, namely, combination of classic multifactor regression modeling with modern digital modeling methods – automated control systems used for drainage facilities. Principles of building fuzzy logic controllers and algorithms of their functioning under multichannel control are determined in detail. The improved fuzzy logic-based variant is proposed and combined, with correlation analysis, to provide the basis for developing algorithms of the automated control systems of electric power consumption. There is an example of developing a “road map” for implementing a generalized algorithm for automated control systems power flows for two current cases – a selective tariff with limited daily contract-based power consumption and that with a variable tariff. It is established that application of the two-rate hourly tariff with its conditional distribution (Night/Peak) instead of the three-rate tariff (Night/Half-Peak/Peak) on a single-use basis leads to a thirteen percent increase of daily power costs with a single-channel control of the ore flow and a seven percent increase with two-channel control (ore flow and drainage simultaneously). The use of fuzzy logic controllers enables minimizing these losses.

Parametric Predictions for Pure Electric Vehicles

Demand for pure electric vehicles has been found to be increasing over the years. This has necessitated the development of a model that would serve as a predicting machine for manufacturing different types of pure electric vehicles. Direct Artificial Neural Network approach was used for predictions of nine different parameters commonly found in pure electric cars. Predictions were found to be of high degree of accuracy while using unit and overall model errors as the basis of performance measurement. The mean absolute error, mean square error and root mean square error of the model were 0.109, 0.218 and 0.467, respectively, when the combined electric charge consumption was used for modeling. For the model formation, using the same variable, the losses for the training and testing were 3.9132 × 10−6 and 9.698 × 10−7, respectively. The model was also evaluated using redefined datasets. The developed model can be used by manufacturers and engineers to simulate future designs when certain parameters are given.

Pengajaran Guru Pendidikan Islam Di Kelas Inklusif: Fenomena Semasa Dan Keperluan Pembentukan Model

Pendidikan Inklusif merujuk kepada suatu program pendidikan yang memberi peluang kepada murid-murid berkeperluan khas untuk mengikuti pembelajaran sepenuhnya dalam kelas aliran perdana bersama murid aliran perdana. Pendekatan pendidikan inklusif adalah sejajar dengan hasrat kerajaan yang terkandung dalam Pelan Pembangunan Pendidikan Malaysia 2013 – 2025, yang berinisiatif untuk meningkatkan enrolmen murid berkeperluan khas dalam program pendidikan inklusif. Terdapat banyak isu atau pemasalahan yang ditemui dalam kajian-kajian yang lepas berkaitan pengajaran dalam kelas inklusif di dalam negara. Salah satu isu yang ditemui dalam kelas inklusif ialah berkaitan pengajaran guru mata pelajaran arus perdana dalam kelas inklusif untuk murid bekeperluan khas. Kertas konsep ini bertujuan untuk meninjau pengajaran Guru Pendidikan Islam dalam kelas Inklusif yang mendorong keperluan terhadap pembinaan model pengajaran inklusif. Kajian yang dijalankan adalah dengan menggunakan rekabentuk Design and Development Research (DDR). Implikasi kajian diharap dapat menyumbang kepada keperluan pembentukan model. Inclusive Education refers to an educational program that provides opportunities for students with special needs to fully pursue learning in mainstream classes with mainstream students. The inclusive education approach is in line with the government's aspirations contained in the Malaysia Education Blueprint 2013-2025, which initiatives to increase the enrollment of students with special needs in inclusive education programs. There are many issues or problems found in past studies related to teaching in inclusive classrooms in the country. One of the issues found in inclusive classrooms is related to the teaching of mainstream subject teachers in inclusive classrooms for students with special needs. This concept paper aims to review the teaching of Islamic Education Teachers in Inclusive classrooms which drives the need towards the construction of inclusive teaching models. The study was conducted using Design and Development Research (DDR) design. The implications of the study are expected to contribute to the need for model formation.

Binary terminological units containing the basic seme “erythema”

The article is studied for the first time status of terminological phrases with the basic sema "Erythema" in the structure of the Latin medical terminology.Verbal codification of the selected is traced terminological phrases in modern medical encyclopedic dictionaries. Carried out etymological, morphological, syntactic analysis of binary attributive components of functioning terminological phrases in medical oral and written discourse. Methods research. In the study, the method of continuous sampling, which allowed the selection of actual material; descriptive the method by which the inventory and internalinterpretation of selected terminological phrases; structural method for establishing connections and relationships between linguistic elements. Conclusions. According to the study found that the attributive component in the structure of binary terminological phrases with the basic sema "erythema"outlines the etiological sign, symptoms of the disease, form, consequence, clinical expressiveness, ie, attributive component in each case carries outclassification detail of the denoted phenomenon and thus contributes to the specification of clinical forms of erythema and allows avoid misunderstandings when making a diagnosis. Predominant most terminological phrases with sema "Erythema" consists of binary terminological phrases, formed according to the scheme Subst. nom. sing. + Adject. nom. sing .; model formation of terminological phrases according to the scheme Subst. nom. sing. + Subst. gen. sing./gen. plur. is unproductive; terminological phrases using prepositions refer to unproductive model of term formation.

DEVELOPMENT OF A METHODOLOGY FOR STABILITY MONITORING OF A DEFENSE EMBANKMENT LOADED WITH FREQUENT TRAFFIC: THE EXAMPLE OF THE KOVIN MINE

In the present paper, the authors develop a methodology for stability monitoring of the hydrotechnicaldefensive embankment that is exposed to heavy frequent traffic. The proposed methodology envisages several phases of observation, work and monitoring: (1) macroscopic observations, (2) geophysicalgeoelectric tests, (3) group of exploration works, (4) model formation, (5) establishment of a monitoring system, (6) acquisition data processing and modeling. Four of the six proposed phases are illustrated by the example of the left-bank Danube embankment used by the Kovin coal mine for the needs of coal truck haulage. The results of the performed research indicate that there are no deformations that endanger the defensive function of the embankment. In order to ensure safe coal truck haulage and preserve the function of the embankment, it is proposed to establish a system for geophysical, hydrogeological and geotechnical monitoring, to form a model for simulating the behavior of the embankment for different hydrometeorological conditions (consequently, for different consistency states and material compaction), and for different load conditions.

ANALYTICAL MODEL OF INCREASING THE COEFFICIENT FOR THE EXTRACTION OF OIL OF HYDROCARBON DEPOSITS

The article considers the main causes and factors affecting the oper¬ation of wells in oil fields, the coefficients of rank correlation and the frequency of well oscillations are determined to compile an analytical model describing the formation of a field in the formation with a joint inflow of formation water and carbonated oil to the well in order to inject wells into optimal regimes work. Keyword: correlation, model, formation, pres¬sure, radius.

Neoliberal Approaches in the Model of European Economic Integration

A feature of the first decade of the XXI century was the shift of the EU from the second to the third position in the competition of global geographical centers of power; the beginning of the third decade was marked by the withdrawal of the UK from the EU. Despite many external and internal challenges, the EU remains committed to its chosen economic model and its unique asset, the Single internal market. The article focuses on the following questions. Why did the neoliberal ideas embodied in the creation of a model for the integration of national markets receive support in Europe in the middle of the XX century? How has neoliberalism strengthened over time? Does the process of developing a common economic policy and expanding the EU's powers run counter to the development of a neoliberal idea? What alternative models compete with the European neoliberal model? How stable is the neoliberal idea in the EU? The subject of the study is the growth of supranational economic regulation in the EU. Using general scientific methods, historical, comparative analysis and abstraction, a schematic representation of the classical market model and the EU model (European model) is given, with the designation of common and special reference elements that ensure economic efficiency. The author describes the three stages of the formation of the European model. It is concluded that the EU's regulatory activities are neoliberal in nature. It is aimed at using market leverage, and the model itself retains a margin of stability. The author argues that the current stage started in 2000 is a stage of a smart neoliberal model formation.

SCIENTIFIC AND METHODOLOGICAL SUPPORT OF THE NEW UKRAINIAN SCHOOL

The priority areas of the state policy in the area of general secondary education reform are outlined and the contribution of researchers of the National Academy of Educational Sciences of Ukraine in providing its scientific and methodological support are described. Emphasis is placed on such concepts of the New Ukrainian School as the transition from subject-based to child-centered model, formation of the need to be able to learn, personality development during learning, development of key competences and cross-cutting skills of students by means of subjects. The peculiarities of the modern didactic support are defined, the key ones of which are dialog culture, orientation on development and formation of skills to formulate own conclusions, learning of interaction, development of cognitive interest. An integral training system for the 5th and 6th grades of the New Ukrainian School, designed at the Institute of Pedagogy of the National Academy of Educational Sciences of Ukraine, is enlightened, which is represented by a set of model curricula for basic secondary education students.