scholarly journals Public Assessment of the Activities of the Russian Police in Social Media (On the Example of the Samara Region)

2020 ◽  
Vol 19 (4) ◽  
pp. 85-94
Author(s):  
T.M. Bormotova ◽  
◽  
Yu.N. Mazaev ◽  
O.V. Yakovlev ◽  
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Quantitative Analysis ◽  
Comprehensive Analysis ◽  
Factors Affecting ◽  
Main Factors

based on a comprehensive analysis of content, posted text and video arrays of publications in Internet sources and social media of the Samara region, the main factors affecting the formation of public opinion about the police are considered. Quantitative analysis of the publication arrays revealed the tone of meaningful interpretation of numerical patterns of information about the activities of the regional police. Recommendations aimed at improving the attitude of the population to the work of the regional police are formulated.

scholarly journals Ranking the Success Factors to Improve Safety and Growth of Artichoke Medicinal Plant Using Fuzzy Analytic Hierarchy Process

2020 ◽  
Author(s):  
Javad Rezaeian ◽  
F. Talebi ◽  
R. Alizadeh Foroutan
Keyword(s):  
Analytic Hierarchy Process ◽  
Success Factors ◽  
Food Source ◽  
Comprehensive Analysis ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Factors Affecting ◽  
Medium Level ◽  
Main Factors ◽  
Hierarchy Process

Today, the use of herbal medicine like artichoke is rapidly increasing worldwide. The consumption of artichoke as a food source is raising too. Therefore, it is necessary to determine the main factors affecting the growth of this plant which is investigated in this study. A comprehensive analysis of the literature is performed to detect these factors. A fuzzy Analytic Hierarchy Process (AHP) is employed to prioritize the factors. Results indicate that the conditions of irrigation and soil are the most important ones. In addition, the best conditions for artichoke growth are the medium level of irrigation, soil with suitable drainage, low temperature and sufficient sunlight.

Research for an Automatic Measurement System for Centroidal Deviation of Projectiles Based on Three Points Method

2010 ◽  
Vol 26-28 ◽  
pp. 1-4
Author(s):  
Guo Nian Yao ◽  
Jun Hu Wei ◽  
Hao Sun ◽  
Guo Ji Sun
Keyword(s):  
Quantitative Analysis ◽  
Measurement System ◽  
Automatic Measurement ◽  
High Accuracy ◽  
Experimental Results ◽  
Factors Affecting ◽  
Automatic Measurement System ◽  
Working Principle ◽  
Main Factors ◽  
Relevant Calculation

In order to improve the measuring accuracy and efficiency of projectiles’ centroidal deviation, the working principle and the relevant calculation formulae based on three points method are described in detail, the main factors affecting precision are discussed and quantitative analysis on precision of the equipment is made. The measuring platform with automatic leveling and locating based on the arc locating and so on are put forward to reduce error. The experimental results show that the system can satisfy the requirement for measuring with high accuracy. The equipment plays a very important role in testing ordnance, especially for measuring regular projectiles.

Factors Affecting the Organizational Justice in Ho Chi Minh City, Vietnam

2018 ◽  
Vol 9 (6) ◽  
pp. 523-528
Author(s):  
Vu Ba Thanh ◽  
◽  
Ngo Van Toan ◽  
Keyword(s):  
Organizational Culture ◽  
Quantitative Analysis ◽  
Organizational Justice ◽  
Survey Data ◽  
Internal Communication ◽  
Ho Chi Minh City ◽  
Research Model ◽  
Factors Affecting ◽  
Feedback Training ◽  
Model Research

The study was conducted to examine the factors affecting organizational justice in Ho Chi Minh City. Through quantitative analysis from the survey data for 242 civil servants working in Ho Chi Minh city to evaluate the scale and research model. Research results show that four factors: feedback, training, organizational culture and internal communication affect organizational justice in Ho Chi Minh city.

Recent Rapid Climate Changes in Antarctic and their Influence on Low Diversity Ecosystems

2010 ◽  
Vol 17 (1) ◽  
pp. 17-30 ◽  
Author(s):  
Katarzyna J. Chwedorzewska
Keyword(s):  
Environmental Variables ◽  
Climate Changes ◽  
Biological Significance ◽  
Global Changes ◽  
Factors Affecting ◽  
Low Diversity ◽  
Main Factors ◽  
The Antarctic ◽  
High Diversity ◽  
Temperature Water

ABSTRACTThe geographic position, astronomic factors (e.g. the Earth’s maximum distance from the Sun during winter), ice cover and altitude are the main factors affecting the climate of the Antarctic, which is the coldest place on Earth. Parts of Antarctica are facing the most rapid rates of anthropogenic climate change currently seen on the planet. Climate changes are occurring throughout Antarctica, affecting three major groups of environmental variables of considerable biological significance: temperature, water, UV-B radiation.Low diversity ecosystems are expected to be more vulnerable to global changes than high diversity ecosystems

Analyzing the liquidity ratios of the world's leading public oil and gas corporations

2020 ◽  
Vol 26 (7) ◽  
pp. 1571-1589 ◽  
Author(s):  
O.V. Shimko
Keyword(s):  
Public Sector ◽  
Oil And Gas ◽  
Comprehensive Analysis ◽  
Annual Reports ◽  
Main Factors ◽  
Economic Analyses ◽  
Oil And Gas Companies

Subject. This article explores the key liquidity figures of the twenty five largest public oil and gas companies between 2006 and 2018. Objectives. The article aims to determine the current values of the key liquidity figures of the largest public oil and gas companies, identify key trends in their changes within the study period, and identify the factors that have caused these changes. Methods. For the study, I used comparative, and financial and economic analyses, and generalization. Results. Based on a comprehensive analysis of the twenty five oil and gas companies' annual reports, the article identifies trends in the changes in the key liquidity indexes in the industry's public sector, and establishes the main factors that affected these changes. Conclusions and Relevance. The largest public oil and gas companies are able to maintain their own liquidity in times of crisis, even. The industry pays the most attention to increasing the instant liquidity ratios. The results of the study can be used to evaluate, forecast, and develop measures to enhance the liquidity of public oil and gas companies.

Factors Affecting the Public Opinion of Advertisements with respect to Apparels

2018 ◽  
Vol 06 (09) ◽  
pp. 60-66
Author(s):  
S. Ubeja ◽  
S. Acharya ◽  
P. Jain ◽  
A. Loya ◽  
R. Tiwari
Keyword(s):  
Public Opinion ◽  
Factors Affecting ◽  
The Public

Analysis of Sentiment of Moving a National Capital with Feature Selection Naive Bayes Algorithm and Support Vector Machine

2020 ◽  
Vol 4 (3) ◽  
pp. 504-512
Author(s):  
Faried Zamachsari ◽  
Gabriel Vangeran Saragih ◽  
Susafa'ati ◽  
Windu Gata
Keyword(s):  
Social Media ◽  
Support Vector Machine ◽  
Feature Selection ◽  
Public Opinion ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Capital City ◽  
Support Vector ◽  
National Capital ◽  
Bayes Algorithm

The decision to move Indonesia's capital city to East Kalimantan received mixed responses on social media. When the poverty rate is still high and the country's finances are difficult to be a factor in disapproval of the relocation of the national capital. Twitter as one of the popular social media, is used by the public to express these opinions. How is the tendency of community responses related to the move of the National Capital and how to do public opinion sentiment analysis related to the move of the National Capital with Feature Selection Naive Bayes Algorithm and Support Vector Machine to get the highest accuracy value is the goal in this study. Sentiment analysis data will take from public opinion using Indonesian from Twitter social media tweets in a crawling manner. Search words used are #IbuKotaBaru and #PindahIbuKota. The stages of the research consisted of collecting data through social media Twitter, polarity, preprocessing consisting of the process of transform case, cleansing, tokenizing, filtering and stemming. The use of feature selection to increase the accuracy value will then enter the ratio that has been determined to be used by data testing and training. The next step is the comparison between the Support Vector Machine and Naive Bayes methods to determine which method is more accurate. In the data period above it was found 24.26% positive sentiment 75.74% negative sentiment related to the move of a new capital city. Accuracy results using Rapid Miner software, the best accuracy value of Naive Bayes with Feature Selection is at a ratio of 9:1 with an accuracy of 88.24% while the best accuracy results Support Vector Machine with Feature Selection is at a ratio of 5:5 with an accuracy of 78.77%.

Chinese Social Media Platforms and Microblogging in the Context of Public Diplomacy

Communicology ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 167-179
Author(s):  
E.S. Nadezhkina
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Public Diplomacy ◽  
User Generated Content ◽  
The Internet ◽  
Interactive Communication ◽  
Network Interaction ◽  
Social Media Platforms ◽  
The Right ◽  
Chinese Social Media

The term “digital public diplomacy” that appeared in the 21st century owes much to the emergence and development of the concept of Web 2.0 (interactive communication on the Internet). The principle of network interaction, in which the system becomes better with an increase in the number of users and the creation of user-generated content, made it possible to create social media platforms where news and entertainment content is created and moderated by the user. Such platforms have become an expression of the opinions of various groups of people in many countries of the world, including China. The Chinese segment of the Internet is “closed”, and many popular Western services are blocked in it. Studying the structure of Chinese social media platforms and microblogging, as well as analyzing targeted content is necessary to understand China’s public opinion, choose the right message channels and receive feedback for promoting the country’s public diplomacy. This paper reveals the main Chinese social media platforms and microblogging and provides the assessment of their popularity, as well as possibility of analyzing China’s public opinion based on “listening” to social media platforms and microblogging.

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