Volume 11 | Issue 8 |

 Abstract

Many fuels are utilized in households for cooking. These fuels are categorized as solid and clean eco-friendly sources. Biogas generation is an example of waste-to-energy conversion. Biogas is generated through the conversion of organic waste such as kitchen waste, animal waste, and agricultural residue (rubber wash) generated in households/ small farms through the bio-methanation process. Different types of biogas plants are installed and adopted in households. There are 2 types that are widely adopted and installed, (i) Fixed dome and (ii) Floating drum. The study area was the Kanyakumari District of Tamil Nadu. The biogas beneficiaries list was collected from authentic sources such as District Rural Development Agencies, NGOs, and Turn-key agents (People/Organisations who help users adopt biogas at home). The census method was adopted to identify and interview 270 biogas users in the district with the help of a detailed questionnaire. Biogas is an excellent choice of fuel for cooking purposes. Results from the study are that, of three different raw materials-based biogas plants, agriculture residue (rubber wash) is more efficient in which quantity of gas generated is higher. Likewise, fixed dome type of biogas plant generates more gas in quantity. The study with a micro perspective recommends more rubber wash-based fixed dome-type biogas plants to be installed and adopted in higher numbers in the study area.

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 Keywords

Biogas, Waste to Energy Conversion (WTE), Raw Materials, Type of biogas plants, Households

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Modern agriculture faces the challenge of efficiently predicting crop yields to ensure food security and resource optimization. This research focuses on using machine learning and data analysis to improve the accuracy of crop yield prediction in modern agriculture. The study uses a comprehensive dataset containing geographical, climatic, and agronomic attributes. The objectives include data preprocessing, feature transformation, algorithm selection, and model evaluation. The dataset comprises 28,242 entries with crop yield, climate factors, and location details. Initial exploration reveals correlations and trends, and data cleaning procedures are implemented. The analysis provides insights into crop production by region and type. Various machine learning models, including Linear Regression, Lasso, Ridge, K-Nearest Neighbors, and Decision Tree Regression, are employed and evaluated. Decision Tree Regression performs well with a high R-squared score and low mean squared error. The model's practical application is demonstrated through a hypothetical yield prediction scenario, showcasing its potential for aiding agricultural decision-making. The study concludes that combining machine learning and data analysis can enhance crop yield prediction accuracy, enabling informed decisions and sustainable food production.

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 Keywords

Crop yield prediction, machine learning, data analysis, agricultural productivity, predictive modeling.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract : As we know that firewall are widely emplaced in security apparatus to ensure the security of private networks in most organizations. Basically effectiveness of firewall depends on the quality of policy and its configuration. Nevertheless, the designing and managing its policies are untrustworthy because of its complex nature of configuration as well as the lack of systematic analysis apparatus and tools. This paper represents an anomaly management framework and visualization approach of firewall. We signify the possibility and relevancy of framework by a proof of concept prototype of a visualization which is based on firewall policy analysis tool known as firewall Anomaly Management Environment (FAME). We also introduce FIREMAN, a immobile analysis toolkit for firewall modeling and analysis. By treating firewall configurations as specialized programs.

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 Keywords

Keywords: - firewall policies, anomaly management, visualization tool.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

For human existence as well as the health of our environment, water is a vital component. Without water, life cannot exist on earth; humans and other living things suffer and die; agricultural activities cannot be initiated; and industries cannot be maintained. All things depend on water, and it may be found in nature in a wide range of environments, including the fog, clouds, ocean, snow, rivers, rain, and lakes. The petrogenic PAHs are mainly Naphthalene , Fluorene , Phenanthrene , Dibenzothiophene and Acenaphthylene and pyrogenic PHAs are Anthracene, , Fluoranthene , Benzo(a)anthracene , Benzo(a)anthracene and , pyrene . The study of petrogenic and pyrogenic sources are carried out in Kolkata , Kanpur and Gazipur district

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 Keywords

PAHs , Ganga , petrogenic , pyrogenic , Kanpur , Gazipur , Kolkata , chrysene , India , Volumetric flasks etc

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

THE HEALTH STATUS AND HEALTH-SEEKING BEHAVIOUR OF RURAL WOMEN IN COSTAL KARNATAKA

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 Keywords

THE HEALTH STATUS AND HEALTH-SEEKING BEHAVIOUR OF RURAL WOMEN IN COSTAL KARNATAKA

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Purpose: To measure service quality performance of public and private hospitals using extended HEALTHQUAL dimensions in the Surat region. Design: This research design is descriptive using a non-probability convenience sampling method. Survey was conducted on a sample of 200 consumers through structured questionnaire using extended HEALTHQUAL dimensions. Findings:Dimensions are found out in which particular type of hospital is doing well. Also the dimension in which both kinds if banks needs immediate focus are also found out and listed. Research limitations / implications: With this study, researchers tried to measure the performance of each type of hospital with different dimensions. Contribution and value-add: This study would help to understand customer perceptions towards performance of hospitals. Because of the intangibility of services, measurement and differentiation are very difficult. The research study attempts to develop appropriate dimensions and scales to measure the performance of the health care industry in India.

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HEALTHQUAL, Government and Private hospitals

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Child marriage persists globally, hindering SDG achievement. Target 5.3 under SDG 5 seeks to end harmful practices like child marriage by 2030. Despite laws, 1 in 5 girls marry before 18. Child Marriage Prevention Act (1929) reflects past struggles. Education empowers girls, breaking poverty cycles. Focus on under 18s aids family planning and society’s development.

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 Keywords

Awareness, Child Marriage, Child Abuse,Health and Well being, Gender Equality

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Creative Commons Attribution 4.0 and The Open Definition

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This research delves into the dynamic realm of online travel services, focusing on MakeMyTrip, a prominent online travel portal catering to a global audience. The study explores the platform's multifaceted services, its growing popularity, and its role as a preferred choice for modern travellers. This research methodology systematically addresses the research problem, involving data collection methods, analysis procedures, and tools such as simple percentage, weighted average, and chi-square analyses. The sample size of 123 respondents was obtained via Google Forms using convenient sampling, during the period of January 2023 to April 2023. The study's scope encompasses Coimbatore's customer base, aiming to comprehensively explore preferences for MakeMyTrip and contribute to a holistic understanding of the subject.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Online travel portal, MakeMyTrip, Customer preferences, User experience, Travel industry.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper consists of the work undertaken of the study of dielectric parameter of non-aqueous solution of Tropine-Chloroform for various concentrations. The time domain reflectometry technique is used for the study in the frequency range from 10 MHz to 30 GHz. The relaxation time (?), The static dielectric constant (??), dielectric constant at higher frequency (??) of mixture of Tropine with Chloroform have evaluated at 250 c

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 Keywords

Alkaloids, Dielectric constant, Relaxation time& TDR

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Creative Commons Attribution 4.0 and The Open Definition

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This paper focuses on the analysis of a first-order non-linear differential equation model for HIV infection in CD4+ T cells. The objective is to solve this model analytically using the Taylor series method (TSM). The TSM offers a straightforward way to determine the components of the series. As the order of approximation increases, the accuracy of the method also improves. By comparing the analytical expression with numerical simulations, we establish the superior accuracy and reliability of the Taylor series method's approximate solution. Additionally, we leverage Python's graphical capabilities to visually represent the HIV infection model.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

HIV infection of CD4+ T-cells, Taylor series method (TSM), First order non-linear differential equation, Mathematical modelling, Numerical simulation, Python-jupyter.

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Creative Commons Attribution 4.0 and The Open Definition