Volume 12 | Issue 6 |

 Abstract

The current study has been undertaken to assess knowledge score regarding Clinical pathway of hypertension among rural population by educational program in Gram Dham kheda sarvdharm kolar road, Bhopal, Madhya Pradesh. The research design used for study was pre- experimental in nature. The tool for study was self-structured knowledge questionnaire which consists of 2 parts-PART- I consisted questions related to Socio-demographic data; PART-II consisted of self -structured knowledge questionnaire to assess knowledge score regarding Clinical pathway of hypertension among rural population. The data was analyzed by using descriptive & inferential statistical methods. The most significant finding was that 20.5% of rural population were having average knowledge regarding Clinical pathway of hypertension whereas 79.5% had fair knowledge after post-test. It was suggested that nurses must educate rural population regarding Clinical pathway of hypertension

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 Keywords

Impact, educational program, knowledge & Clinical pathway of hypertension

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The study of customer perception and preferences towards Aavin products is pivotal in understanding the dynamics of consumer behavior in the dairy industry. Aavin, a prominent dairy brand in India, has established a significant market presence with its wide range of dairy products. This research aims to explore how customers perceive Aavin products and what factors influence their preferences. The study employs a mixed-methods approach, combining quantitative surveys and qualitative interviews to gather comprehensive data from a diverse sample of consumers. The quantitative aspect focuses on measuring customer satisfaction, brand loyalty, and the perceived quality of Aavin products. The qualitative component delves into the reasons behind consumer choices, exploring factors such as taste, price, availability, and brand image. Initial findings suggest that Aavin enjoys a strong brand recognition and loyalty among its consumers. Many customers associate Aavin with high-quality and reliable dairy products, which reinforces their trust and repeated purchase behavior. The perception of quality is often linked to the freshness of the products and adherence to hygiene standards, which are critical factors in the dairy industry.

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 Keywords

Aavin, Aavin Milk Products, customer perception, customer preferences, quality, product variety, customer satisfaction

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The goal of this study is to treat fungal infections, which include eczema, itching, and skin irritations, after producing an oleaginous ointment successfully. Our primary objective is to create an ointment base that is optimally consistent and has favourable antifungal and antibacterial properties in order that promote optimum diffusion. In order to achieve this, we carefully consider a number of characteristics, paying close attention to the systematic produce of the ointment base, which serves as a foundation of future formulation attempts. In order to ensure effectiveness against fungal infections while minimising side effects, we incorporate the active component, ketoconazole, into the base using the fusion method at the lowest possible effective ratio. Additionally, our evaluation goes beyond composition to include a thorough appraisal of the ointments' physical attributes. Spreadability, homogeneity, stability, and pH are examples of such parameters.

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 Keywords

Eczema, antifungal, Spreadability

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Protein-protein interactions (PPIs) play a crucial role in many biological processes, including signal transduction, enzyme activity regulation, and cell signaling. Predicting PPIs and understanding protein complexes are essential for deciphering cellular functions and drug discovery. In recent years, machine learning (ML) approaches have emerged as powerful tools for predicting PPIs and identifying protein complexes from large-scale experimental data and biological networks. This research paper provides a comprehensive review of the state-of-the-art machine learning techniques applied to predict protein-protein interactions and protein complexes. We discuss the challenges associated with PPI prediction, the various types of data sources used, and the evaluation metrics commonly employed. Furthermore, we present key advancements in ML-based PPI prediction methods and their potential applications in biological research.

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 Keywords

ML, Predicting Protein, Protein Interactions and Complexes

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The banking sector is crucial to any country's economic growth and development. The future viability and soundness of this essential and well-recognized system need to be assessed. The capital adequacy ratio, or CAR, analyses a bank's risk-weighted assets in relation to its available capital. The ratio provides a quick indication of a bank's ability to cover losses and maintain its solvency in difficult scenarios. This paper attempts to examine the capital adequacy status of six major Indian public and private banks i.e., three from the public sector and three from the private sector. The State Bank of India (SBI), Bank of Baroda (BOB) and Punjab National Bank (PNB) as the largest public sector banks and Housing Development Finance Corporation (HDFC), Industrial Credit and Investment Corporation of India (ICICI) and KOTAK Bank as the largest private sector banks are selected for the study. The evaluation of financial performance of selected banks is done using an acronym "C" of CAMEL rating system as recommended by Padmanabhan Committee. Capital Adequacy Ratios, Asset Quality Ratios, Management Efficiency Ratios, Earnings Quality Ratios, and Liquidity Ratios are the evaluation parameters of CAMEL Model. The period of the study is from 2014 to 2023. To analyze the outcomes, descriptive statistics are utilized. One-way ANOVA test is applied for hypothesis testing.

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CAMEL rating system, Capital Adequacy Ratio, Risk-weighted assets, Ratio analysis.

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Indian electoral process is one of the complex democratic processes in the world. This article provides concise overview about the importance of voting and various types of elections held at national, state and local levels by giving a brief instance of Lok Sabha elections held over the years. It examines various challenges that hampers the country's free and fair electoral system. Additionally, it explores several committees and commissions along with some reform initiatives taken by the government and the Election Commission of India to conduct smooth or free and fair election. Key reforms including the introduction of VVPAT (Voter Verifiable Paper Audit Trail), Model Code of Conduct for the political parties and candidates are highlighted. This article concludes with some suggestions towards potential electoral reforms on the future of Indian democracy and further policy development.

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Election, Electoral Challenges, Electoral Reforms, Voting.

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Image-to-audio captioning is a new technology that helps individuals with visual impairments access visual content by automatically generating audio descriptions. This study explores the use of this technology, which combines CNNs and RNNs to create audio captions through deep learning. The model's attention mechanisms focus on important image areas, improving caption quality. Through user surveys and benchmarking, the technology's performance and potential applications are evaluated. The goal is to enhance accessibility and create engaging multimedia experiences. This research demonstrates how AI can enhance auditory experiences and promote inclusive technologies for a diverse audience.

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 Keywords

LSTM , CNN , Flicker8k dataset , GTTs

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Abstract: Financial literacy refers to the knowledge, skills, and ability to understand and effectively manage personal finances. It includes understanding financial concepts such as budgeting, saving, investing, borrowing, and managing debt. Being financially literate means having the ability to make informed decisions about financial matters that affect one's life, such as choosing the right bank account, making informed investment decisions, understanding credit scores and reports, and managing debt effectively. Financial literacy also involves developing habits and attitudes that promote financial stability and security, such as living within one's means, setting financial goals, and creating and sticking to a budget. Financial literacy refers to the knowledge and skills needed to make informed and effective decisions about managing money. It involves understanding the basics of personal finance, such as budgeting, saving, investing, and managing debt. Financial literacy also includes understanding financial concepts and terms such as interest rates, credit scores, taxes, and inflation. It is important for individuals to have financial literacy in order to make sound financial decisions, plan for the future, and avoid financial pitfalls. financial literacy is the ability to understand and manage personal finances effectively. It is a vital life skill that can help individuals achieve financial stability and independence. To develop financial literacy, individuals need to acquire knowledge and skills in various areas of finance. The financial literacy is a useful tool for developing financial literacy. They are self-contained modules that focus on specific topics, making it easy for individuals to learn at their own pace. Learning objects can be in the form of videos, interactive exercises, quizzes, or simulations. They provide a structured approach to learning, ensuring that learners gain a deep understanding of the topic. Overall, financial literacy is an essential life skill that helps individuals make sound financial decisions and achieve financial security.

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Key Words: Digital, Skill, Financial Literacy, Inclusivity, Decision-making, Financial planning.

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The key to a fashion brand's impact is its ability to capture consumers' imagination and set trends that spread throughout the market. By creating innovative designs, captivating marketing campaigns, and strategic collaborations, brands create a unique identity that resonates with their target audience. This connection leads to loyal customers who keep demanding their products and services, establishing the brand's presence in the market. But it doesn't stop there. Fashion brands also contribute to the economy by generating revenue, creating jobs, and feeling growth in various sectors. The global fashion industry is made up of designers, manufacturers, retailers, and service providers, all of whom contribute to its strong economic impact. These brands stimulate consumer spending, both at home and abroad, driving sales of clothing, accessories, cosmetics, and other related products. Additionally, they support a network of suppliers, artisans, and workers, creating employment opportunities and sustainable livelihoods within their supply chains

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 Keywords

Brands, fashion, accessories, opportunities.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: The dark web is a section of the internet that is hidden and can only be accessed with particular software and set ups. By operating out side of the scope of conventional search engines, it provides users with anonymity through encryption and networks that provide anonymity, like tor. the dark web is home to a variety of unlawful activities,such as forums for cybercrime services and extermist information, as well as black markets for illegal good like drugs, guns,and stolen data. The Dark Web affects privacy and free speech,but it also offers serious problem for society and law enforcement because of its link to criminal activity and the complexities of controlling its decentralised character.

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 Keywords

Machine learning

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Creative Commons Attribution 4.0 and The Open Definition