Volume 12 | Issue 6 |

 Abstract

The handwash sold in local markets is primarily made up of different chemical compounds that could be harmful to our skin in multiple ways. According to this theory, research has focused on finding organic substitute ingredients for handwash preparation. People are always searching for cosmetics made of natural ingredients in order to avoid the negative effects of synthetic hand wash preparations such as irritation, dermatitis, dryness, and itching. They also want to avoid allergic reactions and any other unfavorable effects.The main aim to do these formulation to avoid the side effects by using the natural ingredients like ginger, neem, reetha.Hand washing is a daily ritual that is extremely important. In this study,a blend of natural extracts with established antimicrobial qualities was used to formulate a herbal handwash. The hand wash formulation was found to be effective in terms of physical parameters and to effectively clean hands.Thus, it raises the issue of using antiseptics for hand washing. The Prepared handwash was assessed using several parameters, including color, smell, pH, viscosity, and stability. Following formulation, the herbal hand wash was assessed using a range of physical and chemical characteristics, including pH, color, smell, appearance, texture, spreadability, grittiness, skin irritancy, foam height, foam retention, cleaning action, stability, and other factors. It was discovered that the revolt was within a normal range with little to no side effect.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

: Anti-Microbial properties, Allergen Sensitivity, Rhizome, Impurities, herbal handwash formulation, Ginger Extract.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Women education has always been traditionally ignored or not given enough importance due to undervaluation of their contribution in family income especially of the natal family. Therefore, parents are reluctant to invest much in daughter's education. However, parental attitude towards their education has changed as societal outlook and labour market dynamics have changed over time. This paper tries to shed lights on the progress of women education since independence. The study reveals that there had been significant positive change in women participation in school education as well as higher education though there is gap in the progression from lower stages of education to higher levels. Besides, in higher education though their participation has increased largely but it is more prominent in general degree courses rather than professional degrees. Faculty wise distribution reveals that women are still far behind men in terms of their participation in professional education.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Women's education, gross enrolment ratio, higher education, faculty wise distribution

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cyber environments have been prone to unethical activity in the past few years. Social media platforms are becoming more and more prone to the identification of hate speech (HS) in modern culture. For online platforms to eliminate hate speech content in real-time they need powerful hate speech identification algorithms. A range of techniques exists to detect HS, including ML, Dictionary, DL, and so forth. The purpose of this study is to demonstrate an extensive understanding of DL and ML classification techniques, with their advantages and applications.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hate Speech (HS), HS Techniques: Machine learning (ML) and Deep Learning (DL), Comparison of ML and DL, Advantages, and Application of Classification Techniques.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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The integration of Artificial Intelligence (AI) in addressing climate change presents significant opportunities for tackling this global challenge. This review examines the use of AI in climate modeling, optimizing renewable energy, reducing carbon footprints, and environmental monitoring. It emphasizes AI's role in improving prediction accuracy, optimizing energy systems, reducing emissions, and enhancing monitoring capabilities. Despite its potential, AI's contribution to climate mitigation faces obstacles such as data gaps, high computational costs, and the need for interdisciplinary collaboration. This analysis underscores the importance of improving data quality, developing energy-efficient AI algorithms, and fostering interdisciplinary connections to fully leverage AI's potential for a sustainable future. Strategic decision-making and evidence-based governance are crucial for maximizing the benefits of AI while minimizing its environmental impact..

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Acoustic Sensors, Climate Change, Predictive Maintenance, Energy Consumption, Wildlife Monitoring, Deep Learning (DL), Machine Learning (ML), Data Availability, Smart Grid Management, Environmental Monitoring, Reinforcement Learning (RL), Renewable EnergyOptimization, Biodiversity Monitoring, Computational Resources, Artificial Intelligence (AI), Earth System Models, Supply Chain Optimization, Carbon Footprint Reduction, Climate Modelling, Computer Vision, Interdisciplinary Collaboration, Data

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Creative Commons Attribution 4.0 and The Open Definition

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Purpose - The purpose of this study is to empirically study the relationship between financial services and economic growth, and contribute to the already available literature on the relationship of financial services or sectors to economic growth Design/methodology/approach - The study used the Ordinary least square regression approach. The sample covered yearly time-series data from 1990 to 2022, i.e. 32 years. Findings - The results suggest that financial services related to economic growth were as Liquid liability as % of GDP and the commercial bank branch as per 100,000 positively correlated to the economic growth and investment and saving and capital formation negatively correlated to economic growth, given the financial liberation and reforms the country is currently enjoying, the country has not fully brought the desired positive effects on economic growth.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Financial service, Economic growth, OLS regression, financial Liberalisation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In India energy demands are expected to be more than double by 2030, and there is a pressing need to develop ways to conserve energy for future generations. Thus energy consumption can be reduced drastically by using energy efficient appliances. In India, the Union Ministry of power's research pointed out that about 20-25% of the total electricity utilized in government buildings in India is wasted due to unproductive design, resulting in an annual energy related financial loss of about Rs 1.5 billion. Conventional Heating Ventilation and Air Conditioning systems (HVAC) consume approximately 50% of the building energy. This type of air conditioning is therefore neither eco-friendly or sustainable. Selection of proper air conditioning system for buildings can not only help the country to save electrical energy but also reduce green house emissions. As renewable energies become a growing part of the energy, the focus is being put on increased performance and efficiency of proven sources such as horizontal axis air coolers. Generally air coolers are predominantly horizontal-axis, three-bladed with a fixed blade design. The domestic air coolers, which are cost effective, play a positive role in providing human comfort during hot weather. However the performance is dissatisfactory in the high humid regions. This project paves a way to investigate the performance of air cooler integrated by eliminating the problem of rise in humidity that usually encountered in the conventional air cooler. The objective of the present invention is to provide cooled air to maintain the room temperature according to the requirement. This paper presents a simplified analysis model for Cooling Effect of 360 degree Air Cooler for Vertical Axis to make computation tractable with better performance and efficiency by varying speed, number of blades and energy utilization and comparing suitable for cooling effect over a site-specific air cooling distribution.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Energy consumption, cooling effect, vertical axis

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Creative Commons Attribution 4.0 and The Open Definition

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This research paper provides a thorough examination of the evolving landscape of cyber security threats and the corresponding strategies employed to mitigate them. In an era where technology plays an integral role in everyday life, the importance of safeguarding digital assets cannot be overstated. The paper explores various categories of cyber threats, including malware, data breaches, and social engineering attacks, while also discussing emerging threats such as AI-driven cyberattacks and the challenges posed by the Internet of Things (IoT). Furthermore, it delves into the multifaceted approaches employed by organizations and individuals to defend against these threats, including encryption, intrusion detection systems, and user awareness training. By shedding light on the latest developments in the field, this paper serves as a valuable resource for professionals and researchers seeking to stay ahead in the ongoing battle for cyber security.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

cybersecurity, threats, robotics, computer network, firewall, malware, cybercrime

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Creative Commons Attribution 4.0 and The Open Definition

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Welding is a permanent joining process both by using gas torch or electricity to generate heat and also by using filler materials. Similar materials or dissimilar materials both can be joined by implementing welding process. Pressure can be used instead of filler materials to get the permanent joint. For fabricating various engineering components Welding has been considered as one of the best process in the recent years. Various applications include constructions, automotive industries, ship building, aerospace, etc. Gas Tungsten Arc Welding (GTAW) is one of the majorly applied welding processes. There are different welding factors which determine the soundness of weld and investigate the weldability of a metal. Weldability is defined as the easiness with which two or more similar or dissimilar metals can be joined without any problem. In GTAW, the Heat Input and the Gas Flow Rate are two major factors during the welding process. They have an influence on Weld Bead Geometry. One of the important characteristics of welding is consider as weld beads. Metals weldability has been determined by reinforcement height, width if the weld beads, and depth of penetration. In the present research work the Tungsten Gas Arc Welding (GTAW) was carried on AA6063 aluminium alloy. of Response Surface Methodology (RSM) has been implemented to design the experiment that too CCD (Central Composite Design). Gas Flow Rate and Heat Input are the two factors and three level has been considered to create DOE. Bead geometry parameters were studied for different combinations of the mentioned factors. The influence of each factor on the bead geometry was analysed using ANOVA. It was observed that the maximum depth of penetration was obtained at heat input values of 0.36-0.4 kJ/mm and gas flow rate of 15.5 l/min. Minimum bead width is recommended and this was obtained at heat input of 0.45-0.48 kJ/mm and gas flow rate of 15-16 l/min. Nominal positive reinforced height is acceptable and this is obtained through the entire range of heat input and gas flow rate of 10.5-13.5 l/min.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Weldability, GTAW, Bead Geometry, Response Surface Methodology, ANOVA

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nearest Neighbour Analysis, also known as K-nearest neighbour (KNN) and neighbourhood component analysis (NCA), is a method that stores training samples in an n-dimensional pattern space and calculates the distance between samples using a distance metric formula. An example of the search for order in settlement or other patterns in the landscape is the use of a technique known as nearest neighbour analysis. This attempts to measure the distributions according to whether they are clustered, random or regular. Here, settlement distribution may be expected to be regular, rather than the random or scattered pattern.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Clustered, Random, Hexagonal, Concentration, Dispersed, High concentration.

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Creative Commons Attribution 4.0 and The Open Definition