درخت حوزه‌های تخصصی

The article is devoted to the research process of digitalization of vegetable development management as an important component of food security of the Black Sea region. Vegetables are necessary for the normal functioning of the human body, provide it with the necessary vitamins and trace elements. one of the conditions of good health. The annual volume of vegetables in food kits for the main social and demographic groups of the population of Ukraine is calculated. The dynamics of vegetable production of vegetable crops in the Black Sea region of Ukraine is studied. In addition, information and communication (digital) technologies in the agar sector are considered. It is proved that the digitization of agribusiness significantly saves the amount of materials and other resources, and execution time and production are optimized. Due to the systematization and grouping of data, the costs of document circulation are reduced, the process of accumulation and use of information is stimulated, the production and economic indicators of agricultural enterprises are improved, which will help increase their competitiveness in the long run.

Learning effective segment depictions and resemblance measures are fundamental to the recuperation execution of a substance based picture recuperation (CBIR) structure. Regardless of wide research tries for a significant long time, it stays one of the most testing open gives that broadly impedes the achievements of real-world CBIR structures. The key test has been credited to the extraordinary "semantic hole" subject that happens between low-level photo pixels got by technologies and raised close semantic thoughts saw by a human. Among various techniques, AI has been successfully analyzed as a possible course to interface the semantic gap in the whole deal. Impelled by late triumphs of significant learning techniques for PC vision and various applications, in this paper, we try to address an open issue: if significant learning is a longing for spreading over the semantic gap in CBIR and how much updates in CBIR endeavors can be cultivated by exploring the front line significant learning methodology for learning feature depictions and likeness measures. Specifically, we explore a structure of significant learning with application to CBIR assignments with a wide game plan of definite examinations by investigating front line significant learning methodologies for CBIR endeavors under moved settings. From our exploratory examinations, we find some encouraging results and compress some huge bits of information for upcoming research.

Buying online is a trend especially for young customers aged less than 30 years old. A lot of studies have been conducted to investigate this phenomenon but hitherto no cohesive model has been established. Therefore, the present study is meant to investigate online shopping factors that contribute to customers’ purchase decision. Five factors were identified to have potential influence on online purchase decision and one factor is expected to be a mediator to affect the relationship. From 384 data collected from online customers who visited popular online shopping sites, it was found that all five factors (perceived convenience, perceived risk, perceived competence, perceived benevolence, and perceived integrity) lead to trust and at the same time trust acts as a quasi mediator to affect the relationship between these factors and online purchase decision. The findings provide the actively sought after evidence to support the claims on the role of these factors in affecting online purchase decision. Online businesses should incorporate the findings in order to facilitate customers’ decision making process while visiting their websites. The websites must contain or portray all the elements as found in this study.

The purpose of this study is theoretical and methodological substantiation, deepening of the conceptual provisions and development of the scientific and practical recommendations on the formation of mechanisms for crime prevention in the border regions of the southern of Ukraine. The relevance of this study is due to the need to solve the problem crime by introducing precautionary measures in the border regions of the southern of Ukraine (Bondarenko et al., 2021).The study proved the direct dependence of the level and intensity of crime on the proximity of areas to areas of significant social and criminological tension, to areas of instability and armed conflict, which contributes to the militarization of the population and increasing psychological preparedness for conflict and its antisocial methods (Iatsyshyn et al., 2020). It is established that in the border regions of the south of Ukraine the growth of criminal crime for the studied period significantly exceeds the data for Ukraine. The threats to irredentism and separatism, international terrorism, organized crime of a transnational global scale are real for the southern regions of Ukraine: economic smuggling, smuggling of weapons, ammunition and means of terror, drug trafficking, unregulated migration, trafficking in human beings and their organs. Priorities for Ukraine have been set task of crime prevention: introduction of the newest technologies of protection of a law and order, attraction of scientific and industrial potential of regions, establishment of coordination and interaction between subjects of maintenance of frontier safety at all levels (frontier, national, interstate and international) and cross-border interaction with the international organizations of fight against organized crime. Based on international experience, crime prevention measures in the border regions of southern Ukraine are proposed in the following areas: general social precautionary measures; special criminological precautions;international cooperation in the development of cross-border cooperation;introduction of automated security systems and crime prevention; informational and educational activities of formationlegal culture among the population and the public

Opportunistic networks in the Internet of Things (IoT) scenario, also known as OppIoT, espouse IoT devices interactions opportunistically in order to improve connectivity, the lifetime of the network, and network reliability. An increase in opportunistic utilization is fostered by IoT applications to find communication opportunities whenever possible to route and deliver data efficiently. In this opportunistic scenario, devising an efficient path for data delivery is a challenging work due to uncertainty in the connection between the nodes and the selection of intermediate forwarder nodes for data delivery towards the destination. Considering the scenario of uncertainty in device location and exploiting IoT devices opportunistically, this paper propounds a routing algorithm for OppIoT called Hybrid Multi-Copy Routing Algorithm (HMCRA). The proposed algorithm finds potential forwarder nodes by using fuzzy logic wherein residual energy, distance, and speed of the nodes are considered as input values while preparing fuzzy rules. Genetic Algorithm (GA) is considered along with fuzzy logic to select an efficient path for data delivery. In GA, the delay is taken as the fitness function to select a reliable path for data delivery. Simulation results of the proposed algorithm perform well in contrast with relative existing routing algorithms with respect to latency, overhead ratio, delivery probability, and hop count. The work uniqueness lies in the selection of potential nodes and finding path having less hop count in an opportunistic IoT network scenario.

Considering the organizations’ increasing use of social media, many studies are being conducted in this area. Researchers are faced with a variety of research strategies depending on the nature of the research problem and data. If the right research strategy is not employed, the researcher will lose focus, and the time and effort spent will not necessarily serve the research objectives. When choosing a research strategy, the organization’s characteristics should be taken into consideration; otherwise, it may lead to confounding interpretations of the findings. In this regard, the present study aims to introduce an appropriate research strategy for each maturity stage of the organization under study. To this end, using systematic mapping methodology, about 256 articles published within 2011- 2021 were investigated, and the relationship between the types of research strategy used and the different stages of an organization’s maturity in using social media was reported. Specifically, by synthesizing the social sciences research methodology framework and the social media stage of the growth model, a mapping was developed between the research strategies and maturity stages. Based on this mapping, it is expected that the appropriate strategy for research at the first maturity stage is exploratory, and for the second and third stages are observational and descriptive, respectively. When the organization moves to the fourth and fifth levels, archival and causal strategies are recommended for research. Using the results of this research, researchers will be able to identify the right research strategy for the maturity stage of the organization under study and develop the appropriate research design accordingly.

The purpose of this paper is to measure the relationship between the functional service recovery and technical service recovery towards customer satisfaction in banking industry. Both functional and technical is equally important in service quality especially in service recovery. The competition among the banking industry especially in major cities in Malaysia is very crucial. The study was conducted in Kuala Lumpur based on the top 10 banks based on the market share. 250 questionnaire distributed but only 212 were usable for the data analysis. The results indicated that both functional and technical service recovery plays important role towards customer satisfaction. Banking services or any financial institution should have focused on both elements in order to provide excellent services that may contribute to customer satisfaction and in the long term lead to customer loyalty

Penetration of smartphones and increasing use of social media on always-on devices has attracted the attention of enterprises and organizations to benefit from such platforms for better understanding of customers’ needs and more effectively communicate with potential consumers. For this purpose, the present study investigates the impact of social media adoption and media needs on online purchasing behavior. This study has also examined the moderating role of media type, gender and age in the relationship between variables of social media adoption and online purchasing behavior. A total of 410 questionnaires were collected on social media such as Instagram, Telegram and WhatsApp. SEM technique using PLS used as the analytical method to empirically test the proposed hypotheses. Results show that the effects of tension dimension on online purchasing behavior is mediated by social media adoption. Moreover, the effects of social media adoption on online purchasing behavior are moderated by age and medium type based on Multi-Group Analysis. The IPMA matrix shows that social media adoption had the highest importance, but the lowest performance. This study is significant in terms of innovation due to the use of new indicators effective in the area of statistical analyses. The use of FIMIX, CTA, permutation test, MGA, and IPMA matrix analyses is part of it.

Like almost all the world countries, Algeria is experiencing an exceptional state characterized by a real epidemic of Coronavirus (covid19), which has prompted all institutions (establishments, businesses, businesses, and people) precautions to curb the risks of this pandemic. To this end, the higher education sector has called on the entire university teacher and student community to turn to e-learning to ensure continuity of courses and TD. Our paper is in line with this, with a fundamental objective to analyze university teachers' behavior concerning new information and communication technologies during the health crisis of covid-19. Thus, to shed light on the main handicaps related to online learning in Algeria.

The Internet of things has become an interesting area of research in the last few years due to its ability to make human life simple and easier. Quality of Services (QoS) has gained a lot of importance due to the increasing popularity of the technology. QoS metrics help the IoT users to understand and express their requirements for the selection of services provided by IoT. Researchers in this field have come up with different types of architectures to provide a better view and define all the functions of the technology. In this paper, we have defined a few of the architectures and QoS metrics related to these architectures.