Cosmos Scholars Publishing House: Journals Management System
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Assessment of Public Perception and Awareness on Water Management Practices in Maharashtra
No full textWater management in Maharashtra faces complex challenges due to its varied climatic conditions and diverse population. This research aims to fill a critical gap by assessing public perception and awareness regarding existing water management practices in both urban and rural areas of the state. Through a survey-based methodology, the study explores the public's understanding of water scarcity, policy effectiveness, and their roles in sustainable water management. The findings indicate a significant disparity in awareness levels between rural and urban communities and offer insights into the public's willingness to engage in water-saving behaviors. These results have important implications for policymakers, suggesting a need for targeted educational and awareness campaigns. By understanding public perception and awareness, this study hopes to contribute to the development of more effective, community-oriented water management strategies in Maharashtra
The Future of Data Storytelling for Precipitation Prediction in the Dead- Sea-Jordan Using SARIMA Model
Get PDFThis 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 investigation
HIV&AIDS-Related Knowledge Among University Students: A Review
Get PDFHIV&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
Revitalizing Real Estate Professionalism: Assessing the Impact of RERA on Channel Partners in India
No full textIn the dynamic landscape of the 21st-century real estate market, factors such as the paradox of choice and technological advancements significantly influence consumer behavior. To extend their services to a broader customer base, developers, builders, and marketing partners in the real estate sector are establishing intermediaries and efficient channels. For an extended period, the Indian real estate market operated without regulations, exposing buyers to unfair dealings, malpractices, and biased transactions facilitated by channel partners. The Real Estate Regulatory Act (RERA) was enacted in 2016, introducing robust guidelines to protect the interests of real estate buyers. This study delves into the transformative impact of RERA on channel management within the Indian real estate sector and its implications for real estate transactions. Drawing insights from a survey of 200 respondents who have purchased houses, the findings underscore the positive influence of RERA on the professionalism of channel partners. This impact manifests in heightened transparency, accountability, and ethical practices in real estate transactions. The research reveals an increased confidence among buyers in engaging with channel partners for real estate transactions. In contributing to the existing body of literature on RERA, this research emphasizes the pivotal role of professionalism and ethical practices among channel partners in ensuring the sustainable growth of the real estate industry in India
Potential For Recycling Single-Use Plastic Waste - Case Study in Can Tho City, Vietnam
No full textCircular 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.  
Vehicle Records Registration and Management System for Organisations
No full textThe purpose of this article was to develop a web-based vehicle records registration and management system for organization. This system allows Babcock University as an academic institution and other subsidiary organisations to manage employee vehicles effectively. The article incorporates Quick Response (QR) code scanning at the gate to display vehicle and owner details, providing a seamless and secure process. The system leverages on Application Program Interface (API) which was developed with Laravel for data storage and retrieval. The software was tested and found useful in improving the security structure of Babcock University and other organisations by identifying all vehicle owners’ at a glance. The Software will also enhance the general vehicle registration of the country with a reminder
A Study to Assess the Knowledge of Stress and Its Management Among Bank Employees in Selected Banks of Bagalkot with A View to Develop SIM
No full textBackground: Stress is a state of mind that reflects certain reactions in the human body and is experienced by a sense of anxiety, tension, and depression and is caused by such demands of the environmental or internal forces that cannot be met by the resources available to the person.Objective: To assess the knowledge of stress and its management among Bank employees in selected banks of Bagalkot with a view to develop SIM. Methods: A cross sectional study with a sample of 100 employees working in banks of Bagalkot, selected by convenient sampling technique. A self-structured questionnaire was used to assess the data regarding stress and its management among bank employees in selected bank of Bagalkot. The data was entered in MS excel sheet and transferred to SPSS 18 for analysis. Results: Mean age of participants was 40.01 years + 2.64 years majority of the bank employees were males 65 % and remaining were females 35%. Among 100 Majority of bank employees were having mixed diet (61.42%), about 30% were vegetarian and 8.57% were non-vegetarian. Among100 employees Majority (52%) of subjects attended programme on stress management and 48 % were didn’t attended programme on stress management. Conclusion: Self-instruction module is an effective measure to improve the knowledge of stress and its management among Bank employees
The Legal Nature of Futures Contracts in Commodity Exchanges in Jordanian Legislation
No full textLegal jurisprudence tends to classify futures settlement contracts in commodity exchanges as speculative and betting contracts, based on cash settlement as one of the methods for settling futures contracts. Sometimes, these contracts are settled by the difference between the opening and closing prices over a specified period. Such classification is a limited perspective based on legal jurisprudence viewing futures contracts as ordinary sales contrary to reality. Settlement futures contracts in commodity exchanges are distinctive contracts, and their uniqueness is derived from the nature of the assets traded. These contracts involve essential commodities that play a crucial role in national economies. Moreover, they are subject to a specific legal framework that differs from the legal system governing ordinary contracts. These contracts serve various purposes beyond buying and selling for immediate consumption and trade. They function as financial instruments for investment and risk management, serving purposes beyond simple consumption and immediate trade. The essential distinction that has led to confusion about futures settlement contracts is the time gap between their formation and execution, unlike ordinary contracts that are immediately executed.In this study, we attempted to unveil the ambiguity surrounding futures settlement contracts in commodity exchanges by highlighting their true nature as financial instruments playing a significant role in national economies. This reality has given futures settlement contracts a distinct legal nature
Prediction of Autism Spectrum Disorder in Children: A Detailed Systematic Review on Machine Learning and Deep Learning Methods
No full textAutism spectrum disorder (ASD) is a serious, chronic neurodevelopmental illness characterized by developmental difficulties that are permanent or restrict the growth of thinking, behaviour, activities, and social-communication skills. The signs of autism are more pronounced and more straightforward to identify in youngsters between the ages of two and three. Although there is no permanent cure for ASD, it is still challenging to identify meltdowns or other difficulties in the early stages of medical care. In order to promote brain development and raise awareness of ASD among parents and caregivers, the survey’s objective was to identify ASD at an early stage. Methods like deep learning (DL) and machine learning (ML) are currently employed to predict autism spectrum illnesses. This study provides an in-depth review of papers that predict ASD using ML and DL, as well as data analysis and classification techniques. Additionally, this survey intends to categorize and examine the various ML and DL approaches, as well as to describe the characteristics of ASD, assess performance, and show the scope of future research. For upcoming academics who want to study ASD prediction using ML and DL, this publication offers a road map
Economic and Environmental Impact Analysis of Green Building Materials in Facade Engineering
No full textThis study provides a holistic analysis of the economic and environmental impacts of green building materials, with a particular focus on facade engineering. Utilizing computer technology and project management methodologies, the research investigates a variety of sustainable materials used in facade construction, comparing their cost-effectiveness, energy efficiency, and environmental footprint. The findings contribute to a better understanding of the trade-offs and synergies between economic feasibility and environmental sustainability in green facade design. This research could aid decision-making in the construction industry, promoting a broader adoption of green building materials in facade engineering