bluuebunny/crossref_metadata_2025 huggingface dataset:
TRENDS AND EFFICIENCY OF LAND USE IN THE AGRARIAN SPHERE OF THE REGION
Authors:   Volga Scientific Research Institute of Economics and Organization of Agroindustrial Complex, Adadimova L. Yu. , Polulyakh Yu. G. ,   Volga Scientific Research Institute of Economics and Organization of Agroindustrial Complex, Belokon M. V. ,   Volga Scientific Research Institute of Economics and Organization of Agroindustrial Complex
Published: January 2022

The analysis of the state and efficiency of land use is carried out on the example of the production activities of agricultural producers of the Saratov region, which is part of the Volga Federal District. The dynamics of changes in the size and structure of used land in the period from 2007 to 2020 is analyzed, it is noted that the total area of agricultural land first decreased markedly, and then increased slightly. The change in the structure of land use by forms (powers) of ownership is accompanied by an increase in the share of leased land, but since 2015 it has been decreasing, giving way to land acquired (formalized) in ownership, which significantly affected the economic results of agricultural producers. Correlation analysis, which is based on information from the annual financial statements in the context of municipal districts of the Saratov region for 2020, showed that such indicators of the activities of commodity produ- cers as gross profit, revenue and cost of sales are most influenced not by the land directly used in the production of agricultural products, but by the total area of agricultural land. Moreover, it has a fairly high closeness of connection with the proceeds from the sale of products, works, services, slightly lower with cost and gross profit. The ranking of the array of information characterizing the dependence of the economic results of the activities of agricultural producers on the share of their own land in the total area of agricultural land used by them is carried out. The effectiveness of private ownership of land against the background of zonal differentiation is demonstrated. The necessity of regulating the processes of involvement in the turnover of unused agricultural land, improving the structure of sown areas, as well as solving the problem of efficiency of agricultural land use has been substantiated. The results obtained allow us to understand why the effectiveness of increasing the share of land owned by commodity producers in the total area of agricultural land used by them manifests itself in different ways, which indicates the need to develop effective land management mechanisms.
version:	SYSTEM INTEGRATION AS AN OBJECTIVE REALITY OF THE ECONOMIC SUSTAINABILITY OF IRRIGATED AGRICULTURE
Authors:   Volga Scientific Research Institute of Economics and Organization of Agroindustrial Complex, Nesmysenov A. P.
Published: January 2022

The article examines the influence and relationship of factors of production – capital and labor, on the economic stability of facilities operating in the system of irrigated agriculture, in the production of agricultural products. The problem of sustainable functioning is of particular relevance for farms with irrigated agriculture due to the high capital intensity of production using irrigation. The solution of sectoral problems is considered from the point of view of real economic processes of systemic integration taking place in the agro-industrial complex of the region. Research on the financial sustainability of enterprises is carried out using a system of relative indicators (financial ratios). The share of the value of the main reclamation funds is 35.5% of the main production funds of the agro-industrial complex of the region, which indicates a high capital intensity of production using irrigation technologies. Research was carried out on the basis of agricultural producers’ statistics using irrigation technologies. The degree of sustainability of their operation was assessed through the potential of the production potential of irrigated agriculture based on various economic indicators. The relationship considered taking into account the basic parameters of performance. The article uses the most universal and acceptable multiplicative Cobb-Douglas model for the agricultural industry, which represents the interconnection of factors of production – in our case, to quantify the relationship between fixed assets and labor resources and their impact on the sustainability of production. In modern conditions, the main criteria for the stability of structural units (facilities) in irrigated agriculture are economic parameters that make it possible to measure the costs and profits from the sale of products and provide each economic entity with a long-term cost-effective economy. The results show a relative change in the volume of output, expressed as a percentage, with a relative increase in the corresponding factor of production by 1%.
DYNAMICS OF LAND USE AGRICULTURAL PURPOSES
Authors:   Volga Scientific Research Institute of Economics and Organization of Agroindustrial Complex, Evsyukova L. Yu. , Panov A. A. ,   Volgograd State Agricultural University
Published: January 2022

The current state of the use of agricultural land resources in the Russian Federation is reflected. The assessment of the state of turnover of land shares in agricultural production of the Volga Federal District was carried out. The analysis of land turnover in the Russian Federation, the Volga Federal District and the Saratov region is carried out. In the reproduction process of agriculture in the region, land plays an important role, since they are the main means of production, in this regard, there is a need for this study. The article evaluates changes in agricultural land areas in the country and region. According to available data, the areas of agricultural land in the Russian Federation and the Volga Federal District have not changed from 2016 to 2019. In the Saratov region, there is an increase in the land area of legal entities by 27.5 percent in 2019, compared with 2016. According to the table compiled on the basis of the microzonal territorial division of the Saratov region, there has been a decrease in the total area of agricultural land over the past five years in the Western microzone by 24 510.1 hectares, in the Central right-bank microzone by 32 627.5 hectares, in the Northern right-bank microzone by 8889.1 hectares, while in the rest there is an increase, most of all in the Northern rightbank microzone (by 105334.6 hectares). The dynamics of own, leased, unformulated agricultural land not used by agricultural organizations of the Saratov region shows that from 2016 to 2019 there was a reduction in the area of agricultural land by 55.6%, land owned by 86.1%, leased land by 55.6%, unformulated land by 76.8%. The conducted analysis shows that the size of the share of unformed and abandoned agri- of the organization and management of land relacultural lands in the Saratov region is gradually tions and the use of land resources is necessary. decreasing, in this regard, further improvement of the organization and management of land relations and the use of land resources is necessary.
INSTITUTIONAL APPROACHS TO REGULATION AND MINIMIZATION OF THE SHADOW RELATIONS
Authors:   Rostov State Transport University, Zhigunova A. V. , Logvinov R. A. ,   Rostov State Transport University, Logvinova I. V. ,   Rostov State Transport University
Published: January 2022

The relevance of the chosen subject of a research is caused by need of stu- dying of problems of shadow economy and search of ways of minimization of its influence on economic security of subjects of economic activity. In modern economic realities crime and shadow economic activity are the integral facts of life around the world. Practically all subjects of financial and economic and public infrastructure are involved in process of counteraction and cont- rol of these types of activity by means of involvement in this process of elements of education, punishment or prosecution. In modern conditions the problem of shadow economy reached significant scales and threatens economic security of subjects of various level of managing. It is necessary to notice that only in the system of ensuring economic security conditions are created and methods of counteraction to economic threats are formed, including outgoing threats from the shadow sector. In counteraction of economic crime which is a component of criminal shadow economy use only of analytical and methodical approaches to minimization of shadow processes is not enough. Collecting and the correct processing of statistical data on active participants of shadow economic activity, about the frequency to which there is an underground activity and about scales of this activity are crucial for acceptance of the effective and effective solutions concerning distribution of resources in the sphere of a shadow turn. This subject still remains very disputable, and there are disagreements concerning definition of shadow economic activity, assessment procedures and use of estimates in the economic analysis and development of policy. Nevertheless, around the world there are serious signs of the general growth of shadow economy.
LEGISLATION ROLE IN DEVELOPMENT OF THE SCIENTIFIC AND EDUCATIONAL COMPLEX OF THE REGION
Authors:   Economic Policy of the Legislative Duma of the Tomsk Region, Shipunova E. P. , Konovalov V. V, ,   Tomsk State University of Control Systems and Radioelectronics, Gile A. Yu. ,   National Research Tomsk State University
Published: January 2022

The purpose of work consists in preparation of suggestions for improvement of the regional legislation in the sphere of scientific and scientific and technical activity. In article the detailed analysis of federal and regional regulations on a subject of a research is carried out and the conclusion is drawn that support of deve- lopment of science is a priority national objective, and technological support of breakthrough deve- lopment of the Russian Federation – one of main objectives of the state policy determined by the Decree of the President of the Russian Federation “About the National Purposes of Development of the Russian Federation until 2030”. Considering that in recent years in Russia was serious reorganization of the high school sector of science is initiated the universities have to become leaders of social and economic development of the country, and, therefore, the key part in achievement of the national purposes in science, including on the long-term horizon of planning is assigned to them [1, 2]. During the analysis of regulations of federal level the control system of the sphere of science in the Russian Federation is defined, at the same time it is noted that the general management of the sphere of science is performed by the President of the Russian Federation. In the territory of the Tomsk region scientific and scientific and technical activity is regulated by regulations of the federal and regional level, including the Law of the Tomsk region "About Scientific Activity and Scientific and Technical Policy of the Tomsk Region" which action is directed to creation of additional guarantees for use of results of scientific and technical activity in production of goods and social life of the region. The purpose of scientific and technical policy of the Tomsk region – development and effective use of scientific and technical potential and also the material and financial resources directed to creation and introduction of high technologies, strengthening of interrelation of science and education. The regulatory legal base of the federal and regional level creates prerequisites for effective functioning of a scientific and educational complex of the region. Results of work and also a number of priority pilot initiatives planned to realization by a scientific and educational complex of the region, on the basis of integration and cooperation of scientific and educational and industrial complexes, are presented in a substantial part of article. Results of monitoring of law enforcement of regulations in the sphere of scientific and scientific and technical activity are presented in article, and in end valid conclusions and suggestions for improvement of the legislation of the Tomsk region are presented.
IMPROVEMENT OF THE PERSONNEL TRAINING SYSTEM (ON THE EXAMPLE OF CTC “PERSONNEL”)
Authors:   Magnitogorsk State Technical University named after G.I. Nosov, Zinovyeva E. G. , Kuznetsova M. V. ,   Magnitogorsk State Technical University named after G.I. Nosov
Published: January 2022

Now new demands to training of personnel which assume regular updating and deepening of the available knowledge of workers, experts and heads of all levels are made. The system of training of personnel is defining for adoption of many key management decisions in personnel management – in particular, the decisions concerning redistribution of competences and powers, creations of a talent pool, movement of workers of new official positions, formations of design groups, assessment of efficiency of use of personnel resources. The increasing value of training for the organization and conside- rable expansion of needs for it in the last thirty years was led to the fact that leading companies undertook updating of qualification of the emp- loyees. The organization of training became one of the main functions of human resource mana- gement. This results from the fact that many companies, having changed personnel policy, according to the advanced trends in modern management, began to consider knowledge and qualification of the hired worker as the capital belonging to the organization and making profit, and costs of training – as profitable capital investments. More and more heads of the Russian companies think of expediency of increase in professional level of the employees since in the circumstances competition strengthenings development of personnel is the most important condition of development of the organization. The discre- pancy of qualification of personnel to requirements of the organization is fraught with low indicators of its activity. Besides, besides direct influence on financial results of the organization, professional development promotes creation of favorable corporate culture in the organizations, has significant effect on motivation of wor- kers and their devotion of the organization.Object of research the system of training of personnel in Autonomous non-profit organization of additional professional education CTC “Personnel”. The theoretical importance of a research consists in justification of regulations on development and realization of actions for a sovershenstovaniye of a system of training of personnel which are aimed at providing efficiency of educational process and the solution of problems of knowledge connected with a different basic case when for- ming educational groups.The practical importance of a research consists that basic provisions, conclusions and recommendations can form a basis of real application of the offered recommendations in practice and obtaining visi- ble results from their introduction. The received withdrawals and suggestions for improvement of a system of training of personnel can be used in work of the modern educational and educational organizations.
DEMOGRAPHIC PROCESSES IN RURAL TERRITORIES OF THE REGION IN THE CONDITIONS OF TRANSFORMATION OF SOCIETY
Authors:   Volga Scientific Research Institute of Economics and Organization of Agroindustrial Complex, Firsov A. I. , Ermakova G. A. ,   Volga Scientific Research Institute of Economics and Organization of Agroindustrial Complex
Published: January 2022

Reduction of number and aging of the population causes the necessity of stu- dying of trends and regularities of the movement of various age groups of the population, in relation to zone conditions of the region – as favorable for accommodation and farming, and in severe conditions, with the droughty and semidesertic steppe. Results of the analysis of structure of age groups in the total number of the population on the Russian Federation, the Volga Federal Dist- rict (VFD) and the Saratov region are presented in article. Calculations of indicators and dyna- mics of demographic and pension burden, potential load of working-age population for rural territories of Right-bank and Left-bank areas and area in general are executed. Demographic indicators of rural territories of the Saratov region show the steady growth of the population of advanced age and decrease in number of younger and able-bodied age. Increase in population is more senior than working-age can demonstrate improvement of medical care, ecology, climate and conditions for accommodation. Increase in number of elderly people in the village at the small number of children is a negative factor, confirming outflow of youth from the region. But, judging by a share of growth of youth in structure of the population, especially in Left-bank areas, quite reasonably to believe that extinction does not threaten the village. Also the shortcoming of workers for agrarian economy, experts and workers of the social sphere of the village since the number of toilers will be reduced further in connection with modernization of agricultu- ral production does not threaten in the long term. In this regard a strategic task on prospect will be carrying out structural and functional transformations of rural territories, and also need of creation of other sources of earnings for rural areas. Considering the concept of «Silver economy» in the Western community, the trends promoting improvement of quality of life of the population are noted, and authors consider one of the main results and innovations growth of number of jobs and satisfaction of the growing number of requirements of the new market of services for elderly people, and also development of actions for support of active and healthy aging, emergence and readiness of acceptance of new products and services which will allow to increase employment rate of elderly people in the village.
Optimalisasi Wisata Edukasi TPA Pakusari untuk Peningkatan Pembangunan Ekonomi Masyarakat Desa Kertosari, Kab. Jember
Authors: Mardiana Siska Leli , Laeli Hidayatul , Ishaq J Dzikrillah
Published: January 2022

Based on the results of observations that have been carried out, this study aims to determine the impact of the development of economic growth in the Kertosari village community with the development of educational tours in the Pakusari TPA area. With this Pakusari TPA Educational tour, it is hoped that it will be able to help the economy of the Kertosari village community. This study used a qualitative research method, namely the research method, in which the authors attempted to describe and explain the optimization of educational tourism at TPA Pakusari to improve the economic development of the Kertosari village community. The use of the type of data used for this research is the collection of primary data in the form of data collected related to activities or activities at the Pakusari final disposal site (TPA), as well as interview data with related parties who are directly involved in the educational tourism of the final disposal site (TPA) ) Pakusari with the use of data analysis methods used in the form of descriptive analysis by ensuring which analysis pattern will be used, in this study researchers used non-statistical analysis related to the optimization of Pakusari TPA educational tourism for economic development in Kertosari Village. The results showed that the optimization of educational tourism at TPA Pakusari to improve the economic development of the Kertosari village community had a major impact on the economic growth of the community. It can be seen from government programs such as methane gas. This government program regarding methane gas has been widely felt by the community. With the existence of this TPA educational tour, it is also able to increase the opinion of the Kertosari village community.
Penggunaan Sumber Belajar Berbasis Information Technologi dalam Meningkatkan Hasil Belajar Siswa Pelajaran IPS di Kelas VIII MTs Nuris Silo
Authors: Hasanah Fikriatul
Published: January 2022

The use of learning resources in the teaching and learning process is very necessary for both teachers and students. Learning resources are all kinds of sources that exist outside of students whose existence facilitates the learning process. Information technology is defined as science in the field of computer-based information and its development is very rapid. In the world of education, the existence of information technology as a medium is very necessary. Teachers can use learning resources obtained from the internet in the form of ebooks, journals and others so that students' insights can be broadened. MTs Nuris Silo in the learning process, the teacher uses Information Technology-based learning resources in Social Studies Subjects for class VIII, namely the teacher uses student books in the form of ebooks, uses videos, articles from the internet, and pictures. The results of the use of technology-based learning resources can facilitate the learning process. students understand what is explained by the teacher from those who do not know to know, from those who do not understand to understand. Learning outcomes are an important aspect for educators, because by assessing student learning outcomes, educators obtain information about student learning progress. This has been proven by the results of the assignments given by the teacher.
SMAP FRAMEWORK: A NOSQL SOLUTION FOR MANAGING A JSON KNOWLEDGE BASE OF SMART POLITICAL DOCUMENTS
Authors: Abdelmoumni Sonia , Chenfour Noureddine
Published: January 2022

This paper is devoted to developing a MongoDB framework for managing a JSON Knowledge base of “Smart Political Documents” (SPD). For this purpose, we designed a full knowledge base in a JSON Repository that runs under a MongoDB NoSQL server. The study of the experimentally collected data from the United Nations site has shown that our SPD knowledge base will contain various information using different formats (text, image, audio, video, etc.). The representation of these data requires both hierarchical and relational models. In this respect, we are proposing a NoSQL data model based on both JSON data and relational representation. JSON collections can be related to one another to complete information by special JSON properties. We have also defined a JSON Query Language for SMAP, SPQL (Smart Politics Query Language), which provided a powerful environment for integrating these disparate forms of data. In this paper, we will so describe the repository architecture, a Speech Labeling Technique used to associate information to spoken discourses, and finally, the whole SMArt Political documents (SMAP) framework that is based on a 3-tiers architecture and a Big Data environment with automatic deductions from the analysis of these data. The new system's purpose is to offer the end-user an intelligent way to quickly find the desired documents with all semantic links between them—something impossible in the system's initial state. The actual novelty of the system is represented mainly by the combination of the NoSQL feature with a relational model and an intelligent linked data system.
A DEEP LEARNING FRAMEWORK TO IMPROVE CUSTOMER RETENTION
Authors: Zaky Amany , Roushdy Mohamed , Ouf Shimaa
Published: January 2022

Customer retention is the most significant challenge going through the companies. Acquiring a new customer is a costly process, so organizations should keep their existing loyal customers to increase their profit and revenue and avoid customer churn. The deep learning techniques significantly impact improving and predicting customer retention. There are a lot of scientific papers that use traditional machine learning techniques to improve customer retention, but these techniques face many challenges in terms of accuracy. For this purpose, the research community began to use deep learning techniques to improve customer retention, and these techniques increased the accuracy. However, they did not focus on improving dataset quality. Therefore, this research aims to introduce a framework to improve customer retention in telecommunications companies by using deep learning techniques. In addition, this research focused on improving dataset quality using data preprocessing techniques, such as noise removal, fill null values, feature scaling (normalization, standardization), discretization, and dimensionality reduction to maximize the accuracy and get better results. The experiment is performed on a telecom dataset obtained from Kaggle called Cell2Cell. Our research achieved more accurate results, especially in predicting the loss of customers and improving customer retention by applying data quality techniques with Deep Neural Network (DNN). Our proposed model achieved good performance, demonstrating achieved 99.80% accuracy. The early identification of customers who are leaving the company and going to another vendor can assist the administration in offering them fantastic deals and lower pricing.
THE ROLE OF METHYLPREDNISOLONE IN CHILDREN WITH IMMUNE THROMBOCYTOPENIC PURPURA: A CASE REPORT
Authors: Ringoringo Harapan Parlindungan
Published: January 2022

Immune Thrombocytopenia Purpura (ITP) is a bleeding disease often found by doctors, with an incidence of about 1 in 10,000 children, rarely found in infants < 1-year-old. Bleeding often occurs when the platelet is <20,000/uL. This study aims to show that methylprednisolone is effective in severe thrombocytopenia. A girl of 2 months and nine days, weighing 5.6 kg, came to the hospital with complaints of petechiae on the forehead, cheeks, and extremities. The patient is not feverish, pale, weak, cannot drink. No history of trauma. Purpura on the elbows and knees. Laboratory: Hb 8.1 g/dL, leukocytes 12,290/uL, platelets 1000/uL, hematocrit 22.2%, Diff Count: basophils 0%, eosinophils 3%, stems 1%, segments 17%, lymphocytes 70%, monocytes 9%. Peripheral blood features hypochromic, microcytic, lymphocytosis, platelets not found. The diagnosis is newly diagnosed ITP with anemia due to bleeding. The patient was treated at hand-carried ultrasound, given 2U platelet transfusion, 75 mL Packed Red Cells transfusion, 1-2 mg/kg body weight of methylprednisolone every 12 hours for seven days. The patient went home in stable. Methylprednisolone in the acute phase can increase the platelet count. Platelet suspension transfusion is only done if thrombocytopenia is accompanied by bleeding difficult to resolve.
BUILDING AND CODIFYING THE PERFECTIONISM SCALE FOR STUDENTS AT PALESTINIAN HIGHER EDUCATION
Authors: Abd-Rabo Aysha , Hashaikeh Sherine , Mukh Yasmeen Abu
Published: January 2022

Perfectionism tends to set very high levels and standards for self and others, taking different forms. On the one hand, there is self-directed perfectionism, where the individuals set themselves high standards of performance and try to achieve them. This type constitutes a driving force to achieve ambitious goals, and this is normal perfectionism. When there is a risk factor for frustration, neurotic perfectionism is formed. The current study aims to codify a questionnaire of the most important factorial dimensions to measure perfectionism among students of Palestinian higher education institutions and identify the most contributing factors in the interpretation of perfectionism. The descriptive and analytical methods were used to achieve the research objectives. The closed questionnaire was applied as a study tool on a sample of 197 male and female students from Palestinian higher education institutions. The findings of the factor analysis resulted in eight factorial dimensions that constitute the current measure of perfectionism among Palestinian students: motivation, achievement, parental expectations, performance regulation, social perfectionism, anxiety, fear of failure, perfectionism towards self, self-evaluation and parental criticism. In the light of the findings of the study, the most important recommendations can be made, represented in adopting the current measure of perfectionism with its eight factorial components, and 47 items of the scale, to measure perfectionism among students of the Palestinian higher education institutions and at the international levels.
PREDICTORS OF THE PREVENTION OF PRACTICE RELATED TO COMMUNICABLE DISEASE PREVENTIONS OF CHILD CAREGIVERS IN CHILD DEVELOPMENT CENTERS, UBON RATCHATHANI PROVINCE, THAILAND
Authors: Thongchai Comsun , Promasatayaprot Vorapoj , Woravong Chiraporn , Srimuang Phitthaya
Published: January 2022

A child development center is a daycare center that gathers large numbers of children in the same areas. As a result, it provides a high opportunity for infection, especially gastrointestinal and respiratory infections. Ubon Ratchathani has been a province with an increasing number of communicable disease cases. This research aimed to predict factors related to the prevention practice in communicable disease for child caregivers in child development centers, Ubon Ratchathani Province. This descriptive-analytic study was conducted between January 2018 and June 2019. The study instruments used questionnaires and in-depth interviews focusing on their prevention and control management practices of communicable disease. The survey questionnaires were for child caregivers who worked in 280 child development centers. The predictor factors were analyzed by Multiple regression analysis. The results showed the majority were female (97.8%), range of age 25- 35 years (57.7%), and with a period of performance as teachers ranging from 1-5 years (36.0%), and health workers had been trained about the communicable control disease (60.4%). The level of knowledge for communicable disease prevention was medium level with a mean score of 11.22 (S.D. = 2.03). The attitude was at a moderate level with a mean score was 2.28 (S.D. = 0.247). The management to prevention disease was good level with a mean score of 24.28 (S.D. = 3.09). On the other hand, the factor of personal characteristics as age, history of attended training, knowledge, attitude, and the preventive behaviors was associated with the communicable disease practice in child development centers was significantly predicted for 44.6% to a statistically significant ( p <0.05). The child caregivers should be skilled by training, knowledge, and preparation of education media and environmental health management with caregivers of child development centers.
ATTITUDES IN CLASS AND MODERN TEACHING OF MOROCCAN PHYSICS-CHEMISTRY TEACHERS
Authors: El Atlassi Mohamed , El Hammoumi Mohamed Merouane , Khyati Abderrahim , Talbi Mohammed
Published: January 2022

In recent years, education in Morocco has undergone a curriculum reform that aims to place the student at the heart of educational activities, to make him/her an actor and responsible for his/her learning. Such reform requires changes in pedagogy and the practices of pedagogical actors. We conducted a qualitative study among 13 physics and chemistry teachers in Moroccan high schools to improve learning methods for solution chemistry. This study aims to understand why Moroccan students favor memorization over to the detriment of reasoning based on theoretical models of solution chemistry. We start from the assumption that students cannot be held solely responsible for their way of reasoning; we can also make the teacher responsible. We believe that the pedagogical approaches and teaching methods used in the classes do not promote the development of the pupils’ personality and limit their capacity for analysis and synthesis and their possibilities of acquiring conceptual and methodological tools. In this research, we have considered doing a qualitative study using two data collection instruments: the interview and classroom observation. The results clearly show that teachers position themselves as repeaters and distillers of knowledge; therefore, modern teaching methods rarely seem to be present despite multiple educational innovations and the continuing and initial training. Furthermore, our attention was caught by the inconsistency between the attitudes of teachers in the classroom and their beliefs expressed during the interview about the strategies and teaching methods used.
PREDICTION OF YOUTH DEPRESSION RISK CLUSTERS IN THAILAND DURING COVID-19
Authors: Nuankaew Wongpanya S. , Nasa-Ngium Patchara , Phanniphong Kanakarn , Nuankaew Pratya
Published: January 2022

Youth depression is a silent threat threatening students around the world. Therefore, the purpose of the research was (1) to cluster students' risk of adolescent depression during COVID-19 and (2) to compare the predictive cluster to the standard depression rating scale. The samples used in the analysis were 687 samples from three institutions with two levels of education. It was 470 samples (68.41%) from Rajabhat Maha Sarakham University (RMU) at the university level, 33 samples (4.80%) from Mahasarakham University (MSU) at the university level, and 184 samples (26.78%) from Phadungnaree School (PS) at the high school level. The research tool is a data mining analysis technique. It consists of k-Means clustering and k-Determination. The results of the data mining analysis showed that the cluster analyzed by data mining was a little dissimilar from the normal process. It discovered that there were 120 different data samples (17.47%). Therefore, it can be concluded that the models studied by the researchers are consistent with the 5th Diagnostic and Statistical Manual of Mental Disorders (Dsm5). For future work, the researchers aim to develop forecasting prototypes and develop mobile applications to facilitate further work.
FACTORS RELATED TO GOOD GLYCEMIC CONTROL AMONG TYPE 2 DIABETES MELLITUS PATIENTS: A RURAL COMMUNITY CONTEXT, THAILAND
Authors: Dana Kamthorn , Kuhirunyaratn Piyathida , Bunloet Arkhom , Jindawong Bangonsri , Prukpitikul Pornpawee
Published: January 2022

This study aims to determine factors related to good glycemic control among Type 2 Diabetes Mellitus (T2DM) patients living in rural communities. A case-control study was conducted, and data were collected from T2DM patients registered at health promotion hospitals. The sample size calculated required 101 samples for cases and 303 samples for controls. The case and control groups were interviewed using questionnaires and clinical record forms. Data were analyzed using descriptive statistics such as frequency, percentage, mean, standard deviation, 95% confidence interval (CI), Chi-squared, adjusted odds ratio (AOR), and multiple logistic regressions. The response rate was 100%. Most of the sample was female, age 60 and over, married, had no schooling or primary school level, was still working, had a family caregiver, and used the universal coverage as the welfare scheme. When controlling for other significant factors, this study found the significant factors were drinking coffee with sugar and cream regularly (AOR 0.36, 95% CI 0.19-0.69), taking the number of diabetes drugs indicated at the right dose prescribed by doctors (AOR 2.01, 95% CI 1.12-3.61) and diabetes control literacy (AOR 1.44, 95% CI 1.32-1.57). Interventions need to be considered to modify these significant factors associated with T2DM patients with uncontrolled blood sugar levels for diabetes control literacy, taking drugs at the right dose, and promoting awareness of drinking coffee with sugar and cream regularly as risk factors.
AUTHENTICATING ELECTRONIC ADMINISTRATIVE CONTRACT AND ITS LEGAL FORCE BEFORE THE JORDANIAN JUDICIARY
Authors: Al Omran Nayel , Al-Qassaymeh Maen
Published: January 2022

One of the outcomes of the information technology revolution is the emergence of the Internet. This international innovation, which connects people everywhere without considering the political borders, has become an important method to join parties and form contracts regardless of the distance between them. As the administrative contract is one of the transactions that may be concluded electronically, it takes an important part that should be legally regulated. Electronic writing, electronic signature, and electronic documents are important instruments for the electronic administrative contract. This electronic contract is created by special procedures through electronic certification bodies. This study explores how to authenticate the electronic administrative contract. It also examines the legal value of this contract before the Jordanian judiciary. The study engages in a descriptive analysis of the legal texts, especially Jordan’s Electronic Transactions Law, concerning the verification and authority of electronic administrative contracts. The main findings are that the Jordanian legislation limits the signature images to signing, stamping, and fingerprinting. Moreover, the Jordanian legislation gives the electronic signature, which is documented according to the specific authentication procedures. It has an evidential value exactly similar to the evidential value of the ordinary signature.
MAIZE VALUE CHAIN IN INDONESIA: AN EMPIRICAL STUDY BEFORE AND DURING COVID-19 PANDEMIC
Authors: Wijanarko Andy , Ramadhan Rizky Prayogo , Subekti Nuning A. , Rosiana Nia , Aminah Syarifah , Patriyawaty Nia Romania , Priatmojo Bhakti , Mutmaidah Siti , Purwanto Oky Dwi , Wardana I. Putu , Syahbuddin Haris , Sasmita Priatna , Sugiono
Published: January 2022

The article describes a new idea of the maize value chain in Indonesia before and during the COVID-19 pandemic, as we already know that it affected all aspects of life, including agriculture. This research was conducted in East Java, South Sulawesi, and East Nusa Tenggara Province through interviewing stakeholders of the maize value chain. Data collection was carried out at two periods, before and the first year of the COVID-19 outbreak in Indonesia. Using the value chain mapping analysis, governance analysis, and marketing efficiency analysis on the maize value chain, it is confirmed that all marketing institutions except feed producers (mills) experienced a decrease in the R/C ratio, and profits and marketing cost were increased all actors. The R/C values and feed mills profits were even higher during the COVID-19 pandemic than before. Although there was a 2.96% decrease in the selling price and a 16.6% increase in costs during the pandemic, the difference between the selling price and the purchase price reached 25%, the R/C value became higher during the pandemic. In general, maize value chain performance was still efficient because the average R/C obtained was more than zero (0.134). The increase in prices at the consumer level was not perfectly transmitted to farmers' level prices. Meanwhile, the prices decline at the consumer level was perfectly transmitted to that at the farmer level.
EMPLOYEE COMMUTING IN NEW NORMAL: AN ANALYSIS BASED ON HOUSEHOLD CHARACTERISTICS AND PERCEPTION ON HEALTH PROTOCOLS
Authors: Bria Melchior , Djakfar Ludfi , Wicaksono Achmad
Published: January 2022

This article describes a new approach in understanding the behavior in selecting modes for commuting to work based on the correlation between household factors and perceptions of health protocols in public transportation during the new normal. Data from 430 respondents living in Jakarta were collected, including household characteristics (age, number of family members, income, vehicle ownership, type of work), perceptions of health protocol services in public transportation, and use of transportation modes. Cross-tabulation (crosstab) was used to describe the relationship between variables. Results showed that public transportation remains a preference among low-income commuters but not for high-income commuters. Those with private vehicles used both private and public transportation modes in balance. Respondents with high incomes (> 15 million) felt health protocol implementation in public transportation was not optimal; therefore, they often used private cars. The use of cars tends to increase along with respondents’ age. This finding showed that the use of commuting public transportation during the new normal did not depend on perceptions of health protocol. Instead, it is rather affected by household factors. However, perceptions of health services in public transportation significantly affected car usage. Therefore, a comprehensive strategy is needed by developing reliable, safe, comfortable, and healthy public transportation services to anticipate changes in household factors that may reduce the use of public transportation.
DEEP MACHINE LEARNING TO ENHANCE ANN PERFORMANCE: FINGERPRINT CLASSIFIER CASE STUDY
Authors: Abu-Faraj Mua’ad , Aldebei Khaled , Alqadi Ziad
Published: January 2022

The human fingerprint is very important for human identification. Therefore, many works have been done to enhance the possibility of detecting a human fingerprint. This research article will explain how to build a high-performance fingerprint classification system. In the study presented in this research paper, the Kmeans clustering method will be used for several reasons, the most important of which is the flexibility of this method by controlling the number of values in the features vector of the fingerprint and more than one alternative can be used to form the features, as it is not sensitive to the process of rotating the fingerprint image. The key idea is to normalize the created fingerprint database and exploit the concept of deep learning to minimize the error between the calculated output and the desired target output. The artificial neural network architecture of different types of ANN will be expanded vertically and horizontally. These architectures will be trained and tested; the obtained training and testing results will be used to make some useful recommendations for using an artificial neural network as a recognition tool in the fingerprint recognition system.
EXPLORING STUDENTS' LIVED EXPERIENCES IN A LANGUAGE IMMERSION PROGRAM: PHENOMENOLOGICAL STUDY
Authors: Dwedar Dahlia
Published: January 2022

With the cooperation of the Military Intelligence Foreign Language Training Center (MIFLTC), the Defense Language Institute Foreign Language Center has put together an intensive iso-immersive language pilot program to equip the US troops with the language and cultural knowledge they need to acquire to facilitate their missions. The problem is a gap in the literature regarding the students' lived experiences of the Arabic language programs and in category IV languages, pilot programs in general. This research aimed to explore the lived experiences of the 24-week Arabic language pilot program students and gather and analyze data about the participant students' perceptions of the MIFLTC's contribution to developing their Arabic language learning and culture competency skills. A volunteered sample of 9 students from the 24-week program was utilized. An open-ended questionnaires list was used to conduct the interviews with the participants for data collection.
THE EFFECT OF ENVIRONMENTAL INTELLIGENCE, LOCAL WISDOM AND PRO-ENVIRONMENTAL BEHAVIOR ON ENVIRONMENTAL LEADERSHIP PERFORMANCE
Authors: Constantinus  , Lako Andreas , Haryanti Kristiana
Published: January 2022

This study aims to analyze the effect of environmental intelligence, local wisdom, and pro-environmental behavior on environmental leadership performance. The novelty of this research is that environmental leadership performance is seen in terms of environmental intelligence, local wisdom, and pro-environmental behavior, which is still rarely used. In this case, the interaction between environmental intelligence, local wisdom, and pro-environmental behavior will together affect the performance of environmental leadership. The study was conducted in Semarang City, involving 327 respondents from 25 rural banks from May to June 2021. The empirical data was analyzed using SEM-AMOS. The models consist of SEM 1 :: ELP = 0.292 LW + 0.056 EI + 0.145 PEB+ e1 (R2 = 0.182); and PEB = 0.166 LW + 0.416 EI SI + e2 (R2 = 0.393). The results show that local wisdom directly and significantly affects environmental leadership performance. Environmental intelligence has a direct and significant effect on environmental leadership performance. Local wisdom has a direct and significant effect on pro-environmental behavior. Environmental intelligence has a direct and significant effect on pro-environmental behavior. Pro-environmental behavior has a direct and significant effect on environmental leadership performance. Pro-environmental behavior mediates the positive and significant influence of local wisdom and environmental intelligence on environmental leadership performance.
SUPPORTING AND INHIBITING FACTORS IN THE POST-DISASTER RECOVERY POLICY BASED ON LOCAL COMMUNITY EMPOWERMENT (CASE STUDY IN LOMBOK, INDONESIA)
Authors: Rifai  , Hakim Abdul , Sarwono  , Rozikin Mochammad , Riyadi Bambang Slamet
Published: January 2022

This research aims to understand the supporting and inhibiting factors in the implementation of post-disaster recovery based on local community empowerment in Indonesia at the ontological and sociological levels. The problem is very interesting to be analyzed by conducting qualitative research based on public policy and conflict resolution theories. Data were collected through in-depth interviews, observation, and documentation. Data were analyzed by using interactive models are data reduction, data display, data verification, and supported by triangulation. The results were based on ontological and sociological levels using public policy and conflict resolution perspectives to improve post-disaster recovery policy and practice. The vision and mission of public policy on managing post-disaster recovery are needed for providing information to stakeholders related to the regulations in post-disaster recovery. This result provides inputs for making better regulation and sanctions in Indonesia for state agencies as public officials and practitioners.
AUTOENCODER PERFORMANCE ANALYSIS OF SKIN LESION DETECTION
Authors: Diame Zahraa E. , Al-Berry Maryam N. , Salem Mohammed A.-M. , Roushdy Mohamed
Published: January 2022

Melanoma is a rapidly pervasive and deathly type of skin cancer that is responsible for most deaths from this kind of disease. It can quickly prevail in other organs if not handled early. Fortunately, the symptoms of skin cancer become visible to the sick, which creates a chance to detect it at an early stage. Because people know so little about their specific symptoms and because of a shortage of expert doctors, automated skin cancer detection has become an important public health issue. Many computer-aided diagnostic methods have been suggested so far. Besides traditional techniques based on image processing, researchers have recently used deep learning successfully for many different purposes. Deep neural networks are widely used in segmentation, classification, detection, etc. In this paper, we check the applicability of deep learning approaches to the segmentation of skin lesions to detect lesion boundaries by evaluating five architectures: U-NET, RESU-NET, VGG16UNET, DENSENET121, and EfficientNet-B0 by presenting a comparative view of those approaches. The five architectures were trained on three different data sets: ISIC 2016, ISIC 2018, and PH2, each set consisting of skin lesion images and the ground truth for their segmentation, and then used pre-processed on three datasets. Quantitative evaluation metrics were used for evaluating the performance of the studied architectures. Among these five architectures, the DENSENET121 architecture showed the best precision rate in all training datasets. We obtained an above 95% precision score in the PH2 dataset. In addition, the pre-processing steps were beneficial for the results.