درخت حوزه‌های تخصصی

The article examines the multiaspected problem of ensuring economic security. An analysis of challenges and threats to Ukraine's economic security during 2010-2019. Strategic goals of economic security have been set. The study of the relationship between public debt, foreign direct investment, and economic growth allows assessing the characteristics of economic security. A system of structural equations is proposed to study the relationship between GDP, public debt, and foreign direct investment. The result of economic security, which can be achieved by achieving the goal, can be considered increased resilience to internal and external factors.

Agriculture is one of the essential sources of occupation and revenue in India. Conferring to existing statistics, most agriculturalists are facing severe losses due to poor farming yield. Farming activities are challenged by various environmental factors that affect agricultural productivity to a greater extent. The present farming situation is above the average of the process involves more biochemical bases for managing the diseases and other destructing facts. The foremost problems they are facing in day-to-day farming tasks are crop or plant diseases affecting productivity. Also, the growth of weeds along with field crops has been another challenge.  The technology has developed to rectify the problems using some machine learning algorithms like Random Forest algorithms, Decision trees, Naïve Bayes, KNN, K-Means clustering, Support vector machines. The result has been evaluated and observed through the performance evaluation metrics using confusion matrix, accuracy, precision, Sensitivity, specificity with the observations, research, and studies. The statistics have expressed the overall accuracy of 98% by achieving the detection of diseases in plants and by removing the weeds that ruin the growth of plants.

There is a causal relationship between high-quality cost systems and pricing decision makers because pricing decision is in dire need of modern systems that help make rational decisions. The aim of this research is to confirm that quality cost systems affect pricing decisions-making in maintaining the industrial companies. The research results can be utilized by beneficiaries taking into account the effects, obligations and costs involved. This study focused on the importance of the growing interest of companies and individuals interested in quality on the necessity of maintaining the product quality and reaching the high quality of products through strategic decisions-making for the continuity of industrial companies and elimination of future risks. The problem of this study is that quality cost systems are among the most important factors involved in pricing decisions-making of industrial companies. This is attributed to the superiority of foreign companies' interest in high quality production over Arab companies in terms of their interest in product quality in pricing decisions-making within advanced methods used by these companies in maintaining the quality of their products. This study is based on the descriptive approach to form the theoretical base of research by relying on the relevant published books and scientific research. The analytical approach was then adopted through the questionnaire. Among the most important findings is the existence of a positive relationship between quality costs and pricing decisions. Hence, quality costs positively affect the rationalization of pricing decision by providing the necessary data and information about the risk to the organization in increasing the competitive advantage among companies. This competitive increase has led to an increase in seeking more opportunities for companies with quality costs. One of the most important recommendations is to prepare plans to mitigate the competitive risks that have been chosen. The aim of these plans is to provide the necessary information to make strategic long-term decisions, aiming at protecting the rights and interests of shareholders to economic unity and strategic decisions-making that serve interests.

Flash floods are considered to be one the worst kind of hazard. They are characterized by their suddenness, rarity, small scale, heavy rain and peak discharge, unpredictable, fast and violent movement. It has severe effects on human society in the form life losses, damages to property, roads, communication and on natural settings. Advances in hydrology, meteorology, engineering, using of GIS and remote sensing still not able to increase real time forecast. Researchers from developed countries have stressed to more focus to improve very short time an effective early warning system with collaboration of local communities for flash flood risk supervision. The data were combined with the Geographical Information System to analyze the temporal and spatial distribution of flood events in Salah Al-Din Governorate and Ramadan Valley. The analysis of the spatial distribution of the floods proves that most of the occurrences are recorded in the southern part of the study area. Most of the flooded areas in the study area are mainly pre-classified areas within the areas threatened by the flood due to the low level of its surface and its proximity to the course of the main valley (Wadi Jarnav), which flows into the Tigris River. The proposed method estimates the localization of sites prone to flood, and it may be used for flood hazard assessment mapping and for flood risk management. It was therefore, suggested that government agencies and policy makers should adopt this powerful technique for reliable and well synthesized information which is a vital component of flood risk assessment and planning.

The study of path loss propagation is of high importance in telecommunication, for optimizing the efficiency of wireless communication networks. In this paper, four path loss propagation models; free space path loss (FSPL) model, Okumura model, Okumura-Hata model, and COST 231-Hata model were compared. The models were compared using measurement data from Choba, Port Harcourt, Nigeria. The data is gotten from a 4G walk test using two mobile applications. The first mobile application Network, Signal Info (version 5.68.07), was used to acquire the received signal strength in and the distance between the BTS antenna and the mobile antenna. While the second mobile application, G-NetTrack Lite (version 14.8), was used to map out the track path followed during the test. Choba, the study area, is a coastal suburban area with map coordinates 4.8941° N, 6.9263° E. The measured distance range was from 0.09 km to 0.45 km, and a path loss range of 69dB to 81dB. While the BTS and mobile antenna heights were 32 m and 1m respectively, with a carrier frequency of 800MHz. BTS transmission power of 23 dBm was assumed, based on 3GPP eNodeB recommendations. A graph comparison of the studied models showed that Okumura-Hata model and COST 231-Hata model had the closest predictions to the measured path loss. The need for better path loss models for 4G and 5G propagations was observed