bluuebunny/crossref_metadata_2025 huggingface dataset:
Financing of Agriculture and the Role of Banks in Lending the Agricultural Sector of Ukraine
Authors:   National Scientific Center ", Andros Svitlana ,   Institute of Agrarian Economy",   National Academy of Agrarian Sciences of Ukraine, Gerasymchuk Vasyl ,   National Technical University of Ukraine "Ihor Sikorsky Kyiv Polytechnic Institute"
Published: October 2023

The purpose of the study is to theoretically substantiate the sources of financing for agriculture and develop the main directions for ensuring the availability of credit funds to agricultural producers. The determinants that limit the access of agricultural enterprises to financial resources are investigated. The balances of funds on loans granted to agriculture, forestry and fisheries by regions of Ukraine are presented. The analysis of the share of loans to agriculture in the context of the regions of Ukraine in the portfolio of agricultural loans of banks was carried out. Scientific approaches to providing agricultural enterprises with access to credit resources have been improved. Directions for improving the credit provision of agriculture are proposed.
Analysis of the European Experience of Implementing the Circular Economy Paradigm at Enterprises in the Conditions of Post-War Recovery
Authors:   National Technical University of Ukraine ", Gavrysh Iuliia ,   Igor Sikorsky Kyiv Polytechnic Institute", Pohrebniak Anna ,   National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Symonenko Angela ,   National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
Published: October 2023

This article analyzes the European experience in implementing a circular economy in the post-war period. It examines the impact of socioeconomic and market conditions on implementation success, focusing on the level of economic development, public awareness, infrastructure, government support, competition, innovation, and international cooperation. The article indicates the need for an integrated approach, control and monitoring systems, as well as the implementation of effective mechanisms to ensure compliance of enterprises with circular principles. It is a valuable source of information for researchers, government agencies, businesses and the public interested in implementing a circular economy for post-war recovery.
Theoretical Essence of the Market: Functions, Forms, Structural Components and Market Infrastructure of Ukraine
Authors:   Odesа Polytechnic National University, Husarina Nataliia , Hratsiotova Hanna ,   Odesа Polytechnic National University, Bradul Karolina ,   Odesа Polytechnic National University
Published: October 2023

The issue of the importance of market functioning within the framework of globalization of the world economy is quite relevant. The article determines that in the economic literature there is still no single point of view on the essence of the market, and therefore a study of existing interpretations of the concept of "market" is carried out. The market as an economic category is analyzed, the market structure is detailed, and the classification of Ukrainian markets is provided. The author describes the main functions of the market and emphasizes the basic conditions without which the market cannot fulfill its functions. It is emphasized that Ukraine is on the way to creating conditions for market functioning, and the main developments in the field of ensuring the basis for market functioning are noted. The importance of market infrastructure is emphasized, and its components and functions are highlighted.
Study of Methodological Approaches to the Economic Assessment of Intellectual Property
Authors:   National Technical University ", Maslak Maria ,   Kharkiv Polytechnic Institute", Pererva Petro ,   National Technical University "Kharkiv Polytechnic Institute", Higher School of Labour Safety Management − WSZOP
Published: October 2023

The article examines both national and international methods of economic evaluation of intellectual property objects, which represent a complex of interrelated norms and rules that determine the concepts and principles of evaluation. The first group includes methods and methodological recommendations based on the cost assessment of the costs of creating intellectual objects and income from their consumption. The second group includes methods and methodical recommendations, in which the assessment of intellectual and innovative activity is considered from the standpoint of the effectiveness of investments in intellectual and innovative projects. The third group of methods for evaluating the effectiveness of intellectual products is used in close relationship with the type of effect that can be obtained when consuming intellectual property. The fourth group of methods evaluates the effectiveness of intelligent products and involves carrying out appropriate calculations at individual stages of their life cycle.
Taxation Perculiarities of DIA City Residents
Authors:   Odesа Polytechnic National University, Selivanova Natalia , Hryhorieva Anna ,   Odesа Polytechnic National University, Probniak Oleksandra ,   Odesа Polytechnic National University
Published: October 2023

The article is dedicated to studying the peculiarities associated with the taxation of IT companies that are legal entities and residents of DIA City. The main research and publications of domestic scientists-researchers are considered, and the main advantages that resident companies receive, such as exemptions from income tax, dividends, and value-added tax, are characterized, as well as the challenges and ambiguities associated with taxation rules and procedures. The current issues regarding the peculiarities of accounting and taxation of IT companies' activities in Ukraine, given the constant changes in the regulatory framework of our country, are highlighted. The main changes in Ukraine's tax legislation regarding the taxation system of the IT sector are discussed. The main criteria that a DIA City resident should meet are evaluated. A comparison of the taxation conditions for IT companies in different countries is provided.
Analysis of The Pollution of Agricultural Territories of Ukraine and the Possibility of Applying International Innovative Approaches to Solving the Problem
Authors:   National Scientific Centre ", Stoliarchuk Nadia ,   Institute of Agrarian Economics"
Published: October 2023

The article analyzes the main indicators that characterize the degree of environmental pollution, the level of expenses for the elimination of the consequences of pollution and the level of application of innovations for the purpose of ecological production: Global index of food security, Global index of waste, Volume of costs for waste management by type of disposal, depending on the level of the country's income, the main indicators that determine the resource intensity of waste, the Global Innovation Index. Innovative approaches and policies of EU countries in the fight against waste and greening of production have been studied. The directions of the development of environmental policy of Ukraine at the stage of European integration are characterized.
The Effect of Price Book to Value, Earning Per Share and Debt Equity Ratio on the Share Prices of Property: the Case of Real Estate and Building Construction Companies Listed on the Indonesia Stock Exchange
Authors:   University of Prima Indonesia, Aswan Fahri , Simorangkir Enda Noviyanti ,   University of Prima Indonesia, Toni Nagian ,   University of Prima Indonesia, Hutagalung Galumbang ,   University of Prima Indonesia
Published: October 2023

Listed on the Indonesia Stock Exchange. Scientific and methodical article. This research is a study conducted to determine the effect of Price Book To Value, Earning Per Share and Debt Equity Ratio on the Share Price of Property, Real Estate and Building Construction Companies Listed on the Indonesia Stock Exchange for the 2018-2021 Period. This study uses a quantitative approach with secondary data sources obtained from the company's financial statements published at www.idx.co.id. The sampling technique in this study is to use purposive sampling technique, with a total of 10 companies with data for 4 years so that it has a total sample of 40 data. The results of this study indicate that Price Book To Value, Earning Per Share, Debt Equity Ratio has a significant positive effect on stock prices in Property, Construction and Real Estate companies listed on the IDX.
Prospects for Introducing Digitalization Tools for Accounting Processes at Ukrainian Enterprises
Authors:   Odesа Polytechnic National University, Selivanova Natalia , Kvasha Kateryna ,   Odesа Polytechnic National University, Sibikovska Alina ,   Odesа Polytechnic National University
Published: October 2023

The article provides interpretations of the concept of "digitalization" by various researchers, identifies the advantages of digitalization technologies for accounting processes, considers the main differences between automation and digitalization, provides examples of digitalization tools in accounting, highlights the results of research on the impact of digitalization tools on accounting processes, analyzes popular programs for digitizing accounting processes, which include QuickBooks, Xero, FreshBooks, Wave Accounting, and the popular cloud storages Dropbox, Google Drive, Microsoft OneDrive, Box, and Amazon S3 were explored.
Competitiveness and Determination of its Essence
Authors:   Kyiv-Mohyla Academy National University, Voloshyn Andrii
Published: October 2023

The article is dedicated to the examination of competitiveness and the determination of its essence as a crucial concept in the field of economics. The author analyzes various approaches to defining competitiveness and explores its fundamental aspects. They shed light on the role of competitiveness in the modern world, particularly in the context of globalization and international trade. The article unveils the evolution of key elements of competitiveness, such as production efficiency, product quality, innovation, market position, adaptability, and others. The research emphasizes the importance of measuring and assessing the level of competitiveness. Furthermore, the article calls for further research in the field of competitiveness, focusing on the development of new approaches and the formulation of policies that strengthen competitive positions. Understanding the characteristics and essence of competitiveness is pivotal for achieving success in the global economic arena.
Temperature Fluid Flow of Particles with The Effect of Magnetic Field in A Cylindrical Polar Coordinates of Incompressible Dusty Fluid
Authors: Jagannadham N. , Rath B. K. , Dash D. K.
Published: October 2023

The effects of temperature of dusty fluid flow in a weak magnetic field are investigated in this paper. The motion of dusty fluid is affected by a homogeneous magnetic field that runs in the same direction as the fluid. Parameters include longitudinal velocity, Hartmann number; dust particle interactions, stock resistance, Reynolds number, and magnetic Reynolds number fully characterize the topic that is being studied. The obtained partial differential equations are translated into an ode system using appropriate similarity transformations. To solve these equations numerically we use, the Laplace Transform technique. The result shows the temperature of fluid particle reduced significantly in the magnetic field.
The Impact of Construction Activities Near the Gulf: The Likelihood of Construction Materials Effect, ERA and Sustainable Development
Authors: Motaleb Omayma , Hijah Esraa
Published: October 2023

The environmental risks associated with construction activities are being monitored, especially given the global construction boom, in which the United Arab Emirates is a major participant. Construction activities near Gulf water cause variations in the ecosystem, yet whilst the Environmental Protection Agency (EPA) has given much attention to environmental risks resulting from construction material during construction activities to streams and rivers, there has been limited exploration of those risks in the Gulf. This research paper aims to identify the best practices in Environmental Risk Assessment (ERA) in order to contribute towards the achievement of sustainable development. Specifically, the objective is to determine the relationship between the parameters of water quality (turbidity and pH) that affect the ecosystem during construction activities in the hot summer and to frame effective ERA, to pursue this aim, 32 water samples were collected from the Gulf water in two locations; the first adjacent by 12 m to the Gulf and at a 500 m distance from the second, inactive location in Abu Dhabi city, UAE.  All these water samples were taken during the peak time of construction activities, and after six hours of no activities, taking into consideration the weather conditions. Samples were tested in the environmental laboratory within 24 hours.  The temperature is particularly considered to predict future levels of variation and consider risks that will affect such areas and seasons. The results indicate that a maximum turbidity level of 25.2 NTU (Nephelometric Turbidity Units) was noticed when the temperature was 43°C and pH 5.9 at the active construction. Hence a strong relationship between turbidity, pH, and temperature and their impacts on the water quality of the Gulf during construction activities is revealed. Outcomes are promising in effective risk management for sustainable development of the Gulf ecosystem during construction activities. The study demonstrates the need for a successful risk management framework to focus on the construction material management treatment that can decrease turbidity and adjust pH in the Gulf water near active construction. In addition, managing statistics of the communities residing near the Gulf and re-evaluating environmental risks are crucial.
Investigating User Preferences Towards Visualization Types with a Focus on Neuroticism and its Implications on Mental Health
Authors: Zanan Muhammad Faris Basheer Mohd , Aziz Madihah Sheikh Abdul , Luhana Krishan Kumar , Keerio Imran Khan , Shah Asadullah
Published: October 2023

This study delves into the importance of visualizing mental health data to attain a comprehensive understanding of psychological disorders through the means of data storytelling and information visualization. Utilizing the Five Factor Model, the article investigates the correlation between two prevalent mental health conditions, depression and anxiety, with a specific focus on the neuroticism trait. The researchers aim to underscore the potential of data-driven techniques in shaping mental health interventions and promoting a deeper comprehension of these conditions by exploring the association between neuroticism and various visualization approaches. To achieve this objective, the study employs quantitative research methods to support population association analysis, cause-and-effect analysis, and the assessment of the link between independent and dependent variables. The findings show that neuroticism has no relationship to any sort of visualization types, and this paper presented several explanations for the lack of a relationship between visualization type and neuroticism.
Ml/Dl Analytical Approaches to Assist Software Project Managers: Dashboard
Authors: Gyamfi Nana Kwame , Jaharadak Adam Amril
Published: October 2023

Companies frequently turn to project management systems for advice with the ongoing data growth caused by stakeholders throughout a product life cycle. The team will be able to communicate more effectively, plan their next moves, have an overview of the current project state, and act before the projections are delivered with project-oriented business intelligence approaches. These technologies are becoming even more beneficial as agile working mindsets proliferate. It establishes a fundamental concept of how the project should function so that the implementation is simple to use and follow. Teams and the potential for economic generation are held back by the high project failure rates brought on by inadequate project planning. The advancement of Machine Learning (ML) and Deep Learning (DL) methodologies has greatly benefited business and project management. To assist project managers in planning their projects and evaluating risks, we have examined techniques that help them anticipate potential hazards when planning their project milestones based on their prior experiences. The system's three components are the database, the web-based platform, and the machine learning core. To do this, we applied a variety of artificial intelligence techniques. Our system must be able to do risk analysis as quickly as is practical and provide project managers with recommendations using the least amount of data necessary. This article thoroughly analyses much research that has addressed the use of machine learning in software project management. This study thoroughly analyses the literature on three critical subjects: software project management, machine learning, and methods from Web Science, Science Directs, and IEEE Explore. There are 111 papers divided into four categories in these three archives. Our contribution also offers context and a broader viewpoint, essential for potential project risk management initiatives.
Digital Training in The Master's Programs in Public Universities of The Andean Community
Authors: Chipana Amalia Torres , Coacalla-Castillo Carlos Enrique , Maldonado Pedro Vera , Calla-Chumpisuca Yaneth Roxana
Published: October 2023

The use of new technologies at the university level is essential for professional training in the XXI century, where the teacher is a key player. In this sense, the present research aims to analyze digital training in master's degree programs in public universities in the member countries of the Andean Community (CAN) in the areas of education, social sciences and humanities. For this purpose, master's degree programs were reviewed considering those with a published curriculum. The results show that 41.3% of the master's programs evaluated in the CAN offer training courses in digital skills, 15.4% offer training in specific programs and 43.2% do not offer training in digital competencies. It was concluded that the training in digital skills proposed by the master's programs in the CAN is still scarce; therefore, it is recommended to promote regional policies aimed at reducing the gaps in digital skills.
Estimation of Shear Strength Parameters from Easily-Collected Soil Physical Properties Using Bagging Learning Technique
Authors: NGUYEN Chau-Hoang-Quyen , NGUYEN The-Khang , VO Thi-Hoai-Thuong , NGUYEN Ba-Quang-Vinh
Published: October 2023

Shear strength parameters, including cohesion and friction angle, are among the most crucial factors in soil mechanics, playing a pivotal role in the design and construction of engineering projects. This paper aims to estimate these essential soil shear strength parameters using an ensemble learning model. To achieve this, the current study employs the Random Forest (RF) model incorporating various physical parameters of soil, such as density (?), saturation degree (Sr), liquid limit (LL), silt content (SC), clay content (CC) to predict cohesion (c), and friction angle (?). In order to assess the predictive performance of the used model, this research used various metrics, including the mean absolute error (MAE), root mean square error (RMSE), and correlation coefficient (R2), to evaluate the model’s accuracy. The results reveal that RF performs superior predictive capabilities. Furthermore, the proposed model prediction ability was compared to the previous empirical equations. The comparison results indicated that the prediction capability of RF outperforms the previously developed equations.
Study And Analysis of Green Concrete by Using Industrial Waste Materials as Sustainable Construction
Authors: Udayasree Bakigari , Kumar G. Shravan
Published: October 2023

Presently, the problem is to transition to a new form that can sustain the natural system. This demand a new ideas of the community's methods for providing construction and infrastructure. Perhaps there is a need for a concerted effort to develop innovative and alternative novel construction materials. Industrial waste such as marble powder, quarry dust, and fly ash, among others, are used to reduce consumption of natural resources and energy as well as environmental pollution. By reusing industrial waste, we are able to reduce environmental impact and industrial waste disposal issues.in this analysis 7-day, 14-day, and 28-day compressive and split tensile tests were performed on the concrete mixtures that were then compared. In M25 concrete mix, 50% of the cement was substituted with fly ash, and the sand was completely replaced with 50% quarry dust and 50% marble powder. Cement is reduced by 15% to 25% when such waste is utilized. Green concrete is an efficient method for reducing environmental contamination and enhancing the extreme durability of concrete. This trend will remain during all stages of the construct-ability and rehabilitation of infrastructure. The versatility of green concrete and its performance derivatives will satisfy many future requirements.
Color Stability of Provisional Restorative Materials - A Tabular Review
Authors: Khazi Shakeel Santebennur , Reddy Sesha. M. , Shetty Shishir Ram , Farag Diaaeldin Saad Awad , Tippu Mohammed Shoaib Ur Rahman , Narayanan Ashwin Lakshmi
Published: October 2023

Temporary prosthodontic materials used for temporization for crown and bridges to protect the vital tooth or teeth from hypersensitivity. Most commonly used temporization materials are Polymethylmethacrylate (PMMA), Bis-acryl composite resin, Light polymerized composite resin, and CAD/CAM provisional restorative material. In this review we have made an attempt to discuss the advantages and disadvantages of temporary prosthetic materials in a tabular format.
Numerical Approach for Evaluation of Surface Integrals in Polygonal Domain by Gauss Legendre Quadrature and Generalized Gaussian Quadrature Method
Authors: Yogitha A.M. , Shivaram K.T. , Kiran S.
Published: October 2023

We present a new approach for the numerical  integration of arbitrary functions over polygonal region, by applying two kinds of quadrature method Gauss Legendre quadrature  and Generalized Gaussian quadrature method, the polygonal region is divided into arbitrary triangles, the sides of each triangle is noted as equation of straight line by joining two end vertices, this approach is used to further reduces the integral equations, numerical integration of rational and irrational functions are approximated computationally, we illustrate several numerical examples to shows the accuracy of the present method
The Future of Data Storytelling for Precipitation Prediction in the Dead- Sea-Jordan Using SARIMA Model
Authors: Ottom Mohammad Ashraf , Al-Shibli Fayha , Atoum Mohammed S.
Published: October 2023

This research presents a comprehensive study focused on precipitation prediction for the Dead Sea region utilizing the Seasonal Autoregressive Integrated Moving Average (SARIMA) model. The investigation seeks to interpret the accuracy and reliability of the SARIMA model's predictions by comparing them with predictions derived from climate modeling techniques. The evaluation is based on key performance metrics, including Mean Squared Error (MSE), Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE). Additionally, the paper examines the SARIMA model's predictive capabilities through a comparison with actual observations spanning the period from 2010 to 2022. The obtained results reveal an MSE of 12.84593, an MAE of 2.34407, and an RMSE of 3.584123 for this period. Significantly, the SARIMA model surpasses the predictions of prominent climate models (CMIP6), namely ACCESS_CM2, Earth3_Veg, GISS_E2, and HadGEM3, based on comparative performance assessments. The findings emphasize the robustness of the SARIMA model in capturing the essence of the observations and predicting precipitation patterns, not only through its superior performance against climate models but also through its alignment with actual observations. This study contributes to a deeper understanding of precipitation prediction in the Dead Sea region and underscores the potential of the SARIMA model in enhancing forecasting accuracy for hydrological and climatic investigations
A Cross Sectional Study on the 24 – Hour Variation of Fungal Pollution in the Atmosphere of Erbil City, Iraq
Authors: M Al-Bader S , Aljoborey Abdulmunem Dherar Abdullah , Ahmed Alwan Qader , Ayied Asaad Yahia
Published: October 2023

Airborne fungi are an important part of aerobiological particles; this group includes several etiologic fungi for humans, animals, and plants. Meteorological parameters as well as plantations are actively influencing the density of outdoor airborne fungi. The current study followed the plate exposure method to collect bihourly air samples for 3 days between April 22 and July 7, 2023. The site of sample collection is 15 meters high in the centre of Erbil city. Sabouraud’s dextrose agar was used. Plates were exposed for 15 minutes from 7 a.m. to 5 a.m. the following day. Plates were kept at lab temperature for 3 weeks and examined daily for visible fungal growth. Fungi were morphologically identified at the genus level. A total of 322 colonies belonging to 10 identified genera, as well as sterile mycelia SM, sclerotia bodies, chlamydospore colonies, and creamy yeast colonies, were Hyphomycetes, which represented 6 genera, Ascomycetes 2, Zygomycetes, and Basidiomycetes, one for each.SM group showed the highest frequency (F% =48.2%) and occurrence (O% =100%).  Aspergillus spp. has the second incidence level (F=12.7% and O%=91.6%) followed by Alternaria sp. (F=9.3% and O= 25%).
Potential For Recycling Single-Use Plastic Waste - Case Study in Can Tho City, Vietnam
Authors: Thanh Nguyen Truong , Lavane Kim , Ngan Nguyen Vo Chau
Published: October 2023

Circular economy is an economic ideal that has been concretized by the Vietnamese Government in the Law on Environmental Protection 2020. As a part of this model, plastic waste reuse and recycling are encouraged to extend the product life cycle. This study investigates the composition of recyclable plastic waste within the domestic waste sources in Can Tho city. The wastes were collected at waste gathering places, residential areas, markets, bus stations, and schools in the urban district of Ninh Kieu and suburban district of Cai Rang in Can Tho city. The results show that disposable plastic items are very diverse such as grocery bags, plastic bags, foam boxes, straws, drinking water bottles, etc. Plastic components accounted from 6.82 % in Cai Rang district to 14.89 % in Ninh Kieu district of the total waste. In which, LDPE plastic was the highest with 38.17 %, HDPE plastic and PETE plastic accounted for 20.81% and 4.89 %, respectively. Particularly, PETE is less found than other plastics as it is collected by scrap person at the disposal sources or by sanitation worker at the waste gathering place. PETE and HDPE plastics are completely recyclable, accounting for 25.70 %. In addition, LDPE plastic is also recyclable (38.17%) compared to other components. Thus, the recyclable plastic ratio of PETE, HDPE, and LDPE reaches 63.88 %. Meanwhile, non-recyclable plastics, accounted for 36.12 %, such as PS plastic (14.18 %), PP plastic (9.83 %) and other plastics (12.12 %). From the results, the amount of recyclable plastic discarded into the environment is nearly twice that of non-recyclable plastic. The potential to utilize recyclable plastics will most likely fit the circular economy model, which will both extend the product life cycle while limiting waste generation and minimizing adverse environmental impacts.
Online Learning and Academic Satisfaction of University Students of Administrative Sciences in A Public University of ICA in Post-Pandemic Times
Authors: Acevedo Jesus Enrique Reyes , Perales Esther Jesús Vilca , Huamani Walter Alejandro, Huillca , Flores Ana María, Hernández , Saco Cielo Luisa, Suarez
Published: October 2023

The importance of this research focused on the adaptation to online learning, since traditionally a face-to-face education was developed for university students, but the transition to an asynchronous education, with the needs and development of university students have changed, such as: learning resources, academic mentoring, and teaching didactics, the satisfaction of what is learned, the virtual platform used to study to identify their changes and others. The purpose of this study was to recognize the factors that influence asynchronous learning in the academic satisfaction of the students of the professional career of Administration of the San Luis Gonzaga National University, presenting the theoretical constructs as well as the results of the research that preceded us, both international and national, within the scheme of a curriculum based on professional competencies. The methodology of the study focused on basic quantitative research that allowed a correlational study in order to analyze the factors of distance learning of the 618 students that were part of the population, and to obtain the information from the students, a questionnaire of 23 questions was applied. Subsequently, current statistical tools were used, and the research findings were important in considering that the research objectives were validated, and the hypotheses were contrasted, where online learning is significantly related to the academic satisfaction of the students.
Optimizing Lean Manufacturing Efficiency with Novel Line Balancing in the Automotive Exhaust Manufacturing Sector
Authors: Tuan Saravanan Tanjong , Daud Mohd Radzi Bin Haji Che
Published: October 2023

This study examined the application of Lean manufacturing tools and a novel approach called line balance loss analysis in optimizing production processes at a Malaysian automotive exhaust manufacturing company. The primary objective was to align production rates with customer demand. Data collection involved two key aspects: gathering production process data for catalytic converters, front pipes, and muffler subassemblies, and acquiring technical data on Lean tools, including the innovative line balance loss analysis method, from one muffler production line. The integration of Lean tools with the new line balance loss analysis approach was found to be crucial. The multi-process/multi-machine line balancing approach went beyond eliminating Non Value Added (NVA) activities and focused on determining manpower requirements and task allocation among operators. The integration of the new line balance loss analysis method improved task distribution across workstations, enhancing overall process efficiency. The study's analysis of Lean tool applications and the innovative line balance loss analysis provided insights into the cellular manufacturing system of the production line. These findings offered valuable information for management decision-making and process improvement, ultimately leading to increased productivity and cost savings for the company.
Nigeria's Multilateral Approach in West Africa: A Case Study of Cote D'Ivoire Electoral Violence
Authors: Alkali Bello Muazu , Othman Muhammad Fuad B, , Osman Nazariah Binti
Published: October 2023

This study interrogates the role of Nigeria through the multilateral organizations in West Africa with a particular reference to Cote d'Ivoire's elections crisis from 2010 to 2011. The violence occurred due to President Gbagbo's refusal to concede power to the election winner, Allassane Ouattara. However, through the influence of the multilateral organizations, Nigeria intervened and returned Cote d'Ivoire to democratic stability. Consequently, this study critically analyzed the role of Nigeria through the multilateral approach in Cote d'Ivoire's electoral violence. It also assessed how the use of Nigeria's relative material preponderances contributed to quelling the violence. This study used historical and exploratory qualitative techniques from the extant literature of high-ranking bodies. Thus, the initial literature search brought many articles, books, reports, and newspapers and selected only those with the needed historical and analytical depth in line with the subject matter. Also, role theory was applied in this study to aid analysis, and the data source for this study was analyzed thematically. The study found that the Cote d'Ivoire election crisis was animated due to former president Gbagbo's refusal to give power to the winner, Ouattara. Further findings revealed that the constitutional court illegally nullified Ouattara's legitimate votes favouring President Gbagbo. Also, the concept of national identity or Ivorite compounded the problems of the violence. This study will benefit researchers in the field of political science, international relations, and policymakers. Finally, other areas for future research include Nigeria's roles through the multilateral organization in other parts of West Africa.
Exogenous Application Effects of Ethephon on Olive Oil Quality
Authors: Thniebat Mageda A. , Al-Shdiefat Saleh M. , Owais Saed J. , Ghani Adel H. Abdel
Published: October 2023

This experiment was carried out to evaluate the effects of five different ethephon concentrations (0, 1000, 2000, 3000 and 4000ppm) on olive oil sensory attributes (quality) after one and two weeks of fruits harvesting. Olive fruits Harvested two weeks after 4000 ppm of ethephon application significantly increased free fatty acid and peroxide value of olive oil contents and decreased sensory attributes (fruitiness bitterness, and pungency), indicating a high impact on reducing oil quality. While olive fruits harvested one week after 4000 ppm ethephon application did not affect the olive oil quality traits. In conclusion, 4000ppm ethephon application led to efficient olive fruits harvest without affecting the olive oil quality, when olive fruits harvested after one week.
Role of AI (Artificial Intelligence) and Machine Learning in Transforming Operations in Healthcare Industry: An Empirical Study
Authors: Mohan A.M. Arun , Kumar S. Senthil , Annam Vamseedhar , Yadav Mohit , Prasanth P Vishnu
Published: October 2023

Artificial intelligence (AI) represents a dynamic and disruptive field within computer science, composed to revolutionize the healthcare sector by primarily restructuring medical practices and healthcare delivery. With the production of complex healthcare data, AI is set to play an increasingly prominent role in this industry. Healthcare payers, providers, and institutions in the health sciences have already accepted various forms of AI. It is imperious for healthcare experts to grip the current landscape of Artificial intelligence and Machine Learning technologies and their potential to enhance the effectiveness, safety, and accessibility of healthcare services, ultimately achieving value-based care. The incorporation of artificial intelligence into healthcare offers many advantages, including enhanced patient care, more accurate diagnostics, improved operational efficiency, and cost reductions. A sample of 301 respondents was collected from healthcare industry. The factors that determine the Role of AI (Artificial Intelligence) and Machine Learning in Transforming Operations in Healthcare Industry are Early detection and prediction of disease, Drug development and discovery, Personalized treatment, and Remote monitoring and telemedicine.
A Study on Contribution of Women in the Development of Rural Tourism, with Special Reference Selected Rural Tourism Destinations of Malnad Region of Karnataka State
Authors: K Vikrama. D.
Published: October 2023

Rural tourism in India is one of the emerging sectors. Rural tourism is one of the major alternative sources of income for rural population. Rural people can use available resources more effectively and efficiently. Contributions of rural women in tourism activities are neglected or not recognized. This paper tries to highlight the problems and prospects of rural women involvement development of rural tourism in Malnad region of Karnataka state.
Challenges of ANN in Adapting to Abrupt Parameters Variations for Shunt Active Filter
Authors: Rachid Dehini , Brahim Berbaoui
Published: October 2023

The purpose of the shunt active power filter (SAPF) goes beyond simply improving power factor; it also aims to mitigate unwanted harmonic currents generated by nonlinear loads. This research introduces a SAPF equipped with an identification and control method utilizing artificial neural networks (ANN). Various techniques are employed for harmonic identification, including traditional p-q theory and the relatively recent approach of artificial neural networks. Achieving satisfactory identification and control characteristics is challenging when dealing with the nonlinearity of the system, particularly in situations involving rapid nonlinear load fluctuations. This study represents a systematic effort to address this challenge by enhancing the SAPF with a method for harmonics identification and DC link voltage control based on ANN. This approach is tested on the SAPF under conditions of fast, nonlinear load variations. The study includes both computer simulations and experimental results, which provide evidence of the viability and effectiveness of the proposed active power filter.
Fault Tolerance and Node Mapping Algorithm Hierarchical Graph HCN
Authors: Park Mihyeon , Lee Hyeongok
Published: October 2023

Embedding in an interconnection network maps the interconnection network G to H and analyzes the relationship between G and H. Hypercubes and toruses are widely known as interconnection networks, and various algorithms have been developed. The HCN graph is a network with a hierarchical structure to improve the network cost of hypercube. In this study, we analyze the fault tolerance and embedding properties of HCN graphs. As a result of the research, the HCN graph has the same node connectivity and degree, so it has the maximum fault tolerance property. In addition, an algorithm that can one-to-one node map the HCN structure to the torus structure was proposed. The embedding results showed that it was possible to embed the torus structure in the HCN graph at an extension rate of 3 and dilation of 1. The results of the embedding study mean that various algorithms developed in Torus can be efficiently used in the HCN structure.
Reference in Editing and Enlightenment: Case of Surah Al-Isra
Authors: KHETTOU Zahra , TABTOUB Sadjia
Published: October 2023

Textual analysis is a fundamental topic in modern linguistics that focuses more on the text than on individual sentences. It necessitates a transition from studying the sentence as a major linguistic unit upon which language theories, schools, and trends are built, to studying the text. Reference is a semantic process governed by meaning and created by the speaker in the mind of the addressee through the use of words, sometimes ambiguous in their own meaning, such as pronouns that refer to objects or individuals, chains of sentences, or even entire texts outside or within the linguistic or non-linguistic context, whether preceding or following it. It serves various purposes, including linguistic economy by substituting for previously mentioned speech and connecting the elements of the text to achieve textual continuity and cohesion.
Is the Textbook Enslaving or Empowering Teachers? Insights from an Algerian Perspective
Authors: Bouacha Nour el Houda
Published: October 2023

Given that studies on how teachers use teaching materials in second and foreign-language classroom contexts are scarce, this exploratory study seeks to contribute to an under-researched area of material use by exploring teachers’ interpretation of their English textbooks and the rationale behind it. More specifically, the paper reports the findings of a small-scale study involving three secondary school teachers in Algeria who use the same textbook materials. Using a qualitative case-study design, classroom observations were undertaken and semi-structured interviews were conducted with the participant teachers to explore how they use the textbook materials and why. The findings revealed that although teachers were restricted by a standard-based textbook, their flexible and creative use of the same materials was molded by their own beliefs, knowledge and analysis of learners’ profiles which all accumulated to determine how they enacted the textbook in the classroom. the paper also put forward several recommendations for different stakeholders (teachers, teacher trainers, textbook designers, and decision-makers).
HIV&AIDS-Related Knowledge Among University Students: A Review
Authors: Tenthani Wezzie Munthali , Kapute Fanuel , Msiska Ulemu
Published: October 2023

HIV&AIDS continues to pose a public health and developmental threat across the world, ever since it was discovered in 1981. Inadequate knowledge is one of the major barriers to prevention of the spread of HIV&AIDS. More than half of all of new HIV infections occur in young people. The objective of this study was to analyse the levels of HIV related knowledge among university students globally, with a focus on the Sub-Saharan Region. Various electronic databases were searched to review related studies on the levels of HIV and AIDS knowledge among university students. The overall results of the published articles that met the selection criteria showed that there are notable variations in terms of the levels of HIV& AIDS knowledge among the students. The disparities in the levels of HIV&AIDS related knowledge could be attributed to the inconsistencies in the research tools, sample size, academic year of the respondents, geographical locations, social, cultural, ethnicity factors, just to mention a few.This review has revealed that for similar studies in the future, it is important to assess the level of knowledge by using differing approaches that have the potential to provide a greater depth and breadth of information rather than utilizing singular approaches in isolation such as use of quantitative approaches only.
Evaluation Of Bioactive Compounds in Desmidorchis Indica Stem Extract Using Spectroscopic and Chromatographic Techniques
Authors: Thiagalingam Vijayalakshmi , Chandrasekar Shobana , Boopathy Usharani , Durairaj Rohini
Published: October 2023

Desmidorchis indica is a small fleshy herbs and umbels terminal belonging to the Apocynaceae family. Extraction is the first step of any medicinal plant study, plays a significant and crucial role on the final result and outcome. In the present study to investigate the qualitative analysis of different extracts (aqueous, ethanol, hexane, hydro-ethanolic and petroleum ether) of Desmidorchis indica stem. Among the various extracts, the hydro-ethanolic extract of Desmidorchis indica stem contains a higher concentration of phytochemicals than other extracts and is used for subsequent studies. The UV-VIS spectroscopy revealed that the characteristic peak indicates the presence of various phytochemicals in the extract. The results of FTIR analysis showed the presence of alcohol, phenol, alkynes, alkenes, aromatic, carboxylic acid, aromatic and aliphatic amines groups in Desmidorchis indica stem extract. HPLC analysis of the hydro-ethanolic extract of Desmidorchis indica stem revealed that the presence of kaempferol, quercetin, epigallocatechin and hypersoide. Thirty compounds were identified in extract of Desmidorchis indica stem by GC-MS analysis. The prevailing compounds are n-hexadecanoic acid, 1-octadecanol, cis-11-eicosenoic acid, heptadecanoic acid, oleic acid, octadecanoic acid, 12,15-octadecadiynoic acid, methyl, 9-octadecenoic acid, eicosanoic acid, 2-methyl-z,z-3,13-octadecadienol, di-(9-octadecenoyl)-glycerol, hexadecanoic acid, 2,3-dihydroxypropyl ester and docosanoic acidwere found in this Desmidorchis indica stem. Overall, it can be concluded that Desmidorchis indica stem is a rich source of phytochemicals confirmed through qualitative, quantitative, spectroscopic and chromatographic techniques.
Exploring Factors Affecting Intention to Consume Fish in Jordan
Authors: Afaishat Tayseer Mohammad Al , Alnaser Ahmad Salih , Albloush Ahmad , Shaer Basel Yuosef AL
Published: October 2023

Purpose: This study aims to exploring factors affecting intention to consume fish in Jordan. Theoretical framework: Fish consumption is one of important topics in the national economy, so the current study examine how price, product, promotion, place, and health concern effect on intention to consume fish. Design/ Methodology / Approach: A descriptive approach and regression analysis was utilize to test the study’s hypotheses, and 208 questionnaires were analyzed. Findings: Results revealed a significant effect of product promotion, place and health concern on fish consumption intention in Jordan. While price have no impact on intention to consume fish. Research, Practical & Social implications: the study recommended more studies covers different region in Jordan, taking into consideration other variables that could concern the Jordanian customers. Originality / value: This study one of paucity studies in Jordan environment focus on the factors that affect fish consumption, also set of suggestions for the subsequent research works also was listed at the end of this study.
Some parameters of connective tissue metabolism in genital prolapse
Authors: kizi Urinova Ruzagul Shakhobiddin , Djavdatovna Saidjalilova Dilnoza
Published: October 2023

Genital prolapse (GP) is one of the most common gynecological problems, with an incidence of 28-39%. The problem is exacerbated by the fact that about 1/3 of all these patients are women of reproductive age. And with age, GP becomes progressive. We examined 63 women with the GP of reproductive age who applied to the 8th maternity complex in Tashkent. We found that in women, genital prolapse in 57.1% of cases is due to uCTD. It was found that the severity of GP development depended on the severity of  uCTD. In women with GP and uCTD, the magnesium level was significantly lower by 1.8-2 times than in the group without pathology. In more than half (69.4%) of women with GP and uCTD, the excretion of OP was significant and exceeded the due value by more than 2 times. In almost a third (30.6%) of patients, the increase in this indicator was moderate and averaged 76.1±1.9 mg/day.