Volume 12 | Issue 6 |

 Abstract

Abstract Online transactions are the backbone of the present modern era this digital payment can happened through the using of apps on your phone, digital wallet or through online banking something online and sending the money to a friend over through the internet facilities without the need of physical money so in 2016 the Indian economy introduced the cashless transaction giving to the boost of the economy through the digital payment sector. Unexpectedly the growth of 4444 companies enlisted in the demonetization period relating to the total worth of $2.8 billion dollar so the google estimate that the business consulting group that the India digital payment industry is a growing around $500444 million by 2020. The female percentage in the digital payment is lower than the male 14.37 percentage occurred by female and 135 percentage by male in digital payments comparison with 5.75 percentage by female and 4.25 percentage by male in the form of cash transaction. That means gender and individual preferences do not influence the adoption and utilisation of digital payment method.54 percentage of net banking is highly secured as well as e wallet payments and 20 percentage of people is insecure or neutral in the form of different factors. Online transactions are consistently influenced by the environmental consciousness, easy record keeping, quick access, security of digital record, cost reliability and cultural acceptance collectively influence to the individual preferences for digital transactions.

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 Keywords

Key notes: Platform, Digital Wallet, Net Banking, Securities, Chi-Square Test.

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Job satisfaction plays a crucial role in the productivity and well-being of employees, influencing organizational success. This research paper investigates the levels of job satisfaction among employees in Madhya Pradesh, India, and examines the factors contributing to their satisfaction. The study utilizes a mixed-methods approach, combining quantitative surveys and qualitative interviews to gather comprehensive insights. Findings highlight the significant role of workplace environment, compensation, career growth opportunities, and work-life balance in shaping job satisfaction levels. Recommendations are provided for enhancing job satisfaction and organizational performance in Madhya Pradesh.

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 Keywords

Job Satisfaction, Employee, Employee Performance, Compensation, Feedback.

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Creative Commons Attribution 4.0 and The Open Definition

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An extensive research project called Multiple Disease Prediction using Machine Learning, Deep Learning, and Streamlit aims to forecast multiple diseases, such as diabetes, heart disease, lung cancer, Parkinson's disease, and breast cancer. Machine learning algorithms, including support vector machines (SVM) and logistic regression, random forest, decision tree are used in this project. Streamlit Cloud and the Streamlit library are used to deploy the models, offering an intuitive interface for disease prediction. There are five disease options available on the application interface: diabetes, Parkinson's disease, breast cancer, lung cancer disease, and heart disease. The user will be asked to provide the relevant information needed for the prediction model after choosing a particular disease. The application quickly produces the disease prediction result after the requirements are provided, showing whether or not the person is impacted by the condition. This research uses machine learning techniques to address the demand for exact disease prediction, enabling early detection and prevention. People may more readily determine their risk for different diseases because of the Streamlit library's and Streamlit Cloud's simple interface, which improves accessibility and usability. The various models' high accuracy levels show how successful the machine learning algorithms used in disease prediction are.

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 Keywords

Machine learning, deep learning, datasets, streamlit, heart disease prediction, diabetes detection, lung cancer detection, breast cancer detection

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Creative Commons Attribution 4.0 and The Open Definition

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This paper analyzes the impact of startups on empowering disadvantaged groups through entrepreneurship development, bridging their skill gap by mentoring and supporting fostering innovation and creativity, etc. Entrepreneurs from disadvantaged origins face obstacles in terms of societal domain, institutional and can result from inefficiencies, attitudes, and lack of access to basic amenities such as education, healthcare, sanitation, and information. Startups often focus on education and skill development which can prove as a game-changer for disadvantaged groups. The main source of data used for the study is secondary data. The present study is a conceptual study with a descriptive nature. The findings suggest that startups are also uniquely positioned to address social challenges that disproportionately affect disadvantaged groups.

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 Keywords

Startup, Entrepreneurship, disadvantaged Groups, empowerment.

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Moisturizing creams play a crucial role in skincare by enhancing hydration and promoting skin health. This study aimed to formulate a novel moisturizing cream using natural ingredients known for their skin-beneficial properties. The cream was prepared using aloe vera extract, glycerine, castor oil, cucumber extract, rose water, and vitamin c capsules. Each ingredient was selected for its moisturizing, soothing, and antioxidant properties, which are essential for maintaining skin hydration and combating oxidative stress. The formulation process involved blending these ingredients in precise proportions to achieve a stable and effective cream. Physicochemical characterization, including pH, viscosity, spreadability, and stability tests, was conducted to assess the quality and shelf-life of the cream. Furthermore, the cream's moisturizing efficacy was evaluated through hydration studies using instrumental techniques and sensory evaluations by human volunteers. Results demonstrated that the formulated cream exhibited desirable characteristics such as suitable pH, optimal viscosity for easy application, good spreadability, and stability over time. Moreover, it significantly improved skin hydration levels compared to baseline measurements, as evidenced by instrumental assessments and positive feedback from users. Overall, this study highlights the potential of natural ingredients in skincare formulations and underscores the importance of effective moisturizing creams in maintaining skin health and beauty.

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Herbal, moisturizing, Hydrating, Nourishing, Skin-rejuvenating, Soothing

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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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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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition