scholarly journals Models and methods of digital mechanisms in anti-corruption, their advantages and disadvantages, and applications

2022 ◽  
Vol 1216 (1) ◽  
pp. 012015
Author(s):  
A Nurkey ◽  
A Mukasheva ◽  
D Yedilkhan
Keyword(s):  
Developing Countries ◽  
Comparative Analysis ◽  
Time Scales ◽  
Data Science ◽  
Predictive Analytics ◽  
Digital Technologies ◽  
Modern Society ◽  
Priority Areas ◽  
Advantages And Disadvantages ◽  
Complete Study

Abstract Corruption is one of the main problems in many developing countries. However, the complexity of measuring corruption and its consequences does not allow for its complete study and implementation of measures. The factors and indicators currently known worldwide cannot measure corruption on time scales and depend on a narrow circle of experts in this area. Thus, corruption is easily confused with institutional gaps. In modern society, where the technologies such as Data Science and Predictive Analytics play a huge role, corruption is still omnipresent. The article examines the priority areas of combating corruption using new digital technologies. The main direction of the article is defined as an analysis of the advantages and disadvantages of the digitalization in the areas of solving social conflicts. The article presents the comparative analysis of technologies of digital anti-corruption compliance in developing countries, on the example of Kazakhstan. At the same time, according to the results, the article discusses the disadvantages of using proposed models due to the peculiarities of the legislation.

scholarly journals Digital Technologies in Teacher Training: New Experience

2020 ◽  
Vol 35 ◽  
pp. 06002
Author(s):  
Andrey I. Klenin ◽  
Andrey V. Donskov ◽  
Daria D. Spasskaya ◽  
Abobakr Mohamed Abbakar Khussein
Keyword(s):  
Higher Education ◽  
Rapid Development ◽  
Educational Institution ◽  
Digital Technologies ◽  
Modern Society ◽  
Integrated Approach ◽  
Physical World ◽  
Main Task ◽  
Education Teacher ◽  
Advantages And Disadvantages

In the field of training higher educational institution teachers, an era of significant change is beginning. For long, this area has remained the most conservative and was not noticeably subject to changes in society. However, the situation has changed dramatically. First of all, this is due to the rapid development of other areas of human activity, and in particular digital technologies. It is already difficult to imagine a modern society without such technologies, and the main task of a higher education teacher is precisely to train highly qualified specialists with new competencies to solve the challenges facing humanity. Strengthening the explicit link between the needs of society and the objectives of higher education is one of the prerequisites for significant changes in the field of education. The concept of training a teacher of higher education for the future today is largely determined by the development trends of digital technologies. The absence of objective reasons to assume the cessation of the use and development of digital technologies allows us to make an assumption that virtual educational worlds will appear in the foreseeable future, which will become the same familiar environment for acquiring the necessary competencies as higher schools existing in the physical world. This largely determines the relevance of the chosen research topic and determines the need for a thorough analysis of the educational technologies used in the training of teachers. The purpose of this work is, using a combination of analysis, synthesis, idealization and analogy, to generalize at the national and international levels the existing ideas about effective approaches to teaching a higher education teacher, including continuous improvement of competence in his professional field, and modern practice of using digital technologies, and also highlight the most interesting new learning experiences. The necessity of applying the so-called “integrated approach to teaching a higher education teacher” by the authors is proved. The main advantages and disadvantages of using digital technologies are highlighted. Reasonable conclusions are made on the existence of an ideal recipe for combining accumulated educational practices in the framework of traditional education and digital technology.

Late-mover advantages and disadvantages in China's futures market

2020 ◽  
Vol 12 (2) ◽  
pp. 179-191
Author(s):  
Qing Chang
Keyword(s):  
Developing Countries ◽  
Comparative Analysis ◽  
Design Methodology ◽  
Futures Market ◽  
Policy Implications ◽  
Content Type ◽  
Overall Design ◽  
Advantages And Disadvantages ◽  
Depth Analysis ◽  
Catch Up

PurposeThis article aims to provide an in-depth analysis of the late-mover advantages and disadvantages of China's futures market.Design/methodology/approachThis paper reviews the establishment and evolution of China's futures market via historical and comparative analysis, deeply analyzing the market's late-mover advantages and disadvantages.FindingsThe establishment and evolution of China's futures market as a late-mover enjoys benefits in overall design, pilot, and post-development. However, it also suffers disadvantages brought by institutional transformations, advantage enjoyment, catch-up strategies, and international integration.Originality/valueThis paper is the first to systematically explore the laws affecting the formation of the price system in China's futures market. The findings of this research provide important policy implications for the development of China's futures market and references for other developing countries.

Feature extraction and prediction of Dengue Outbreaks

2020 ◽  
pp. 216-222
Author(s):  
Kunal Parikh ◽  
Tanvi Makadia ◽  
Harshil Patel
Keyword(s):  
Public Health ◽  
Machine Learning ◽  
Developing Countries ◽  
Feature Extraction ◽  
Predictive Analytics ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Health Concerns ◽  
The World ◽  
Dengue Outbreaks

Dengue is unquestionably one of the biggest health concerns in India and for many other developing countries. Unfortunately, many people have lost their lives because of it. Every year, approximately 390 million dengue infections occur around the world among which 500,000 people are seriously infected and 25,000 people have died annually. Many factors could cause dengue such as temperature, humidity, precipitation, inadequate public health, and many others. In this paper, we are proposing a method to perform predictive analytics on dengue’s dataset using KNN: a machine-learning algorithm. This analysis would help in the prediction of future cases and we could save the lives of many.

Agrarian receipts as a tool for the structural transformation of financial and credit relations in the agrarian business of the region

2019 ◽  
pp. 40-53
Author(s):  
Yuliia Nehoda
Keyword(s):  
Comparative Analysis ◽  
Retrospective Analysis ◽  
Structural Transformation ◽  
Pilot Project ◽  
Bank Lending ◽  
Economic Benefits ◽  
Advantages And Disadvantages ◽  
New Instrument ◽  
Agricultural Business ◽  
Business Entities

The subject of the research – is a set of organizational-economic relations arising in the process of structural transformation of financial and credit relations in the agricultural business. The purpose of the article is a retrospective analysis of structural transformations of financial and credit relations in the agricultural business, evaluation of the effectiveness and feasibility of the introduction of agricultural receipts as a new instrument of lending to the agricultural business of the regions. Methodology of work – system-structural and comparative analyzes (to determine the effectiveness of the crediting mechanism according to the agricultural receipts of the farmers of the region); monographic (when studying the problems of the functioning of the mechanism of lending to agrarians by agrarian receipts) economic analysis (when carrying out a comparative analysis of the mechanism of classical bank lending to the agrarian business and the mechanism of lending to agrarians according to agrarian receipts); modeling and forecasting (when determining ways to overcome the existing deficiencies in the mechanism of lending to agrarian business entities of the region according to agrarian receipts). The results of the work – a retrospective analysis of the structural transformation of financial and credit relations in the agricultural business was carried out. The mechanism of crediting agrarians according to agrarian receipts and the scale of its distribution in the agrarian business of the region are considered. A comparative analysis of the mechanism of classical bank lending to the agrarian business and the mechanism of lending to agrarians according to agrarian receipts was carried out. In the framework of the pilot project “Agrarian receipts in Ukraine” of the international financial corporation (IFC) in partnership with the Swiss Confederation in Ukraine, the example of the Poltava region defined the effectiveness of the crediting mechanism according to the agrarian receipts of the agrarians of the region. The advantages and disadvantages of the mechanism of crediting the subjects of the agrarian business on agrarian receipts are noted. The ways to overcome the existing shortcomings of the mechanism of crediting the subjects of the agrarian business of the region according to agricultural receipts are determined. Conclusions – according to the results of the conducted research, the effectiveness of the mechanism of lending to the agricultural business of the regions according to agricultural receipts was proved, its advantages and disadvantages were noted, and attention was also focused. Proposed in Art. 7 of Law No. 5479-VI clearly delineate cases and restrictions on the debtor’s reimbursement of expenses incurred by the lender with the acquisition of the right to grow and harvest the pledged crop of agricultural products, which will ensure the principle of equality of parties on economic benefits and distribution of credit risks according to agricultural receipts.

MATHEMATICS TEACHER EDUCATION AND THE FLEXIBLE USE OF TECHNOLOGIES IN DIGITAL AGE

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Hans-Georg Weigand
Keyword(s):  
Teacher Education ◽  
Mathematics Teacher ◽  
Industrial Revolution ◽  
Empirical Studies ◽  
Mathematics Teacher Education ◽  
Digital Technologies ◽  
Digital Age ◽  
Competence Model ◽  
Advantages And Disadvantages ◽  
Concept Representations

Advantages and disadvantages of the use of digital technologies (DT) in mathematics lessons are worldwidedissussed controversially. Many empirical studies show the benefitof the use of DT in classrooms. However, despite of inspiringresults, classroom suggestions, lesson plans and research reports,the use of DT has not succeeded, as many had expected during thelast decades. One reason is or might be that we have not been ableto convince teachers and lecturers at universities of the benefit ofDT in the classrooms in a sufficient way. However, to show thisbenefit has to be a crucial goal in teacher education because it willbe a condition for preparing teachers for industrial revolution 4.0.In the following we suggest a competence model, which classifies– for a special content (like function, equation or derivative) –the relation between levels of understanding (of the concept),representations of DT and different kind of classroom activities.The flesxible use of digital technologies will be seen in relationto this competence model, results of empirical investigations willbe intergrated and examples of the use of technologies in the upcoming digital age will be given.

Research of methods of protecting organizations from inimical mergers and acquisitions

2020 ◽  
pp. 29-45
Author(s):  
O.A. Naydis ◽  
I.O. Naydis
Keyword(s):  
Comparative Analysis ◽  
Mergers And Acquisitions ◽  
Positive Effects ◽  
Advantages And Disadvantages ◽  
Preventive Methods

The article considers the types, forms, mechanisms and classification of mergers and acquisitions, identifies their positive effects, and studies the tactics of acquisitions. The analysis of anti-capture measures: active and preventive methods of protection against hostile mergers and acquisitions. A comparative analysis of anti-capture measures with acquisitions tactics was carried out, the advantages and disadvantages of their application were identified.

ON COMPARATIVE ANALYSIS OF PERFORMANCE OPTIMIZATION METHODS OF MULTI-PUMP UNITS

2020 ◽  
pp. 23-28
Author(s):  
A.I. Glushchenko ◽  
M.Yu. Serov
Keyword(s):  
Energy Efficiency ◽  
Control System ◽  
Comparative Analysis ◽  
Performance Optimization ◽  
Optimization Methods ◽  
Online Optimization ◽  
New Approach ◽  
Advantages And Disadvantages ◽  
Analysis Of Performance

В статье рассматривается вопрос совершенствования системы управления параллельно-работающими насосными агрегатами с целью повышения энергоэффективности их работы. Проведено сравнение и выявление недостатков существующих методов решения рассматриваемой проблемы. Предложена идея нового подхода на базе онлайн оптимизации. The problem under consideration is improvement of the energy efficiency of a control system of parallel-running pump units. Known methods used to solve this problem are considered. Their advantages and disadvantages are shown. Finally, the idea of a new approach, which is based on online optimization, is proposed.

Comparative Analysis of Machine Learning Techniques Using Predictive Modeling

2020 ◽  
Vol 13 ◽  
Author(s):  
Ritu Khandelwal ◽  
Hemlata Goyal ◽  
Rajveer Singh Shekhawat
Keyword(s):  
Machine Learning ◽  
Comparative Analysis ◽  
Data Science ◽  
Training Data ◽  
Machine Learning Techniques ◽  
Future Trends ◽  
Data Set ◽  
Learning Stage ◽  
Learning Techniques ◽  
Different Types

Introduction: Machine learning is an intelligent technology that works as a bridge between businesses and data science. With the involvement of data science, the business goal focuses on findings to get valuable insights on available data. The large part of Indian Cinema is Bollywood which is a multi-million dollar industry. This paper attempts to predict whether the upcoming Bollywood Movie would be Blockbuster, Superhit, Hit, Average or Flop. For this Machine Learning techniques (classification and prediction) will be applied. To make classifier or prediction model first step is the learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations. Methods: All the techniques related to classification and Prediction such as Support Vector Machine(SVM), Random Forest, Decision Tree, Naïve Bayes, Logistic Regression, Adaboost, and KNN will be applied and try to find out efficient and effective results. All these functionalities can be applied with GUI Based workflows available with various categories such as data, Visualize, Model, and Evaluate. Result: To make classifier or prediction model first step is learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations Conclusion: This paper focuses on Comparative Analysis that would be performed based on different parameters such as Accuracy, Confusion Matrix to identify the best possible model for predicting the movie Success. By using Advertisement Propaganda, they can plan for the best time to release the movie according to the predicted success rate to gain higher benefits. Discussion: Data Mining is the process of discovering different patterns from large data sets and from that various relationships are also discovered to solve various problems that come in business and helps to predict the forthcoming trends. This Prediction can help Production Houses for Advertisement Propaganda and also they can plan their costs and by assuring these factors they can make the movie more profitable.

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