Volume 13 | Issue 2 |

 Abstract

Consumer awareness towards sustainable menstrual products is becoming increasingly critical as environmental sustainability and health-conscious choices gain momentum. This study delves into the level of awareness, perceptions, and purchasing behaviour of consumers concerning sustainable menstrual products. By analyzing both qualitative and quantitative data, the research identifies key drivers, barriers, and trends in the adoption of eco-friendly alternatives, such as reusable pads, menstrual cups, and biodegradable tampons. The study also evaluates the effectiveness of awareness and the role of social, cultural, and economic factors in shaping consumer preferences. The results highlight the essential for targeted education, improved product accessibility, and policy interventions to enhance the adoption of sustainable menstrual products, offering valuable insights for stakeholders in promoting a more sustainable approach to menstrual health.

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 Keywords

Consumer awareness, sustainable, reusable, menstrual products.

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Creative Commons Attribution 4.0 and The Open Definition

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Stocks of public companies are open for purchase and sale, giving investors ownership stakes and crucial data about the financial performance of the companies. This study examines how machine learning affects stock market price predictions, a subject that is frequently unstable and subject to a number of factors. We demonstrate how cutting-edge techniques, such neural networks and linear regression, beat conventional methods in identifying patterns and forecasting future events. According to our research, machine learning algorithms may be able to provide accurate and reliable forecasts, which might assist investors make better choices. In the end, this study shows how these cutting-edge technologies could improve investment techniques, providing traders with an edge over others and a better understanding of the market

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 Keywords

Machine Learning, Stock Market Prediction, Neural Networks, Investment Strategies

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Creative Commons Attribution 4.0 and The Open Definition

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The Telecom Equipments Industry allocate in India's GDP has been broadly studied. The present data based on secondary sources. The Telecom Equipments sector has witnessed the highest distribute in the total production of electronic hardware in India. It also examined the trends in Indian Telecom Equipments Production and Exports and share in India's GDP. The growth rate of Telecom Equipments Production is the highest in the year 2017-18 i.e., 66.66 percent and the lowest growth rate is recorded in the year 2014-15 i.e.,-47.37. The contribution of Telecom Equipments exports in GDP of India is increasing from the years 2011-12 to 2020-21 i.e., 0.208 per cent to 0.0242 per cent, even then there are lot of variations in the share of Telecom Equipments exports in GDP. The government, in an effort to support manufacture of Telecom equipments in India has altered the tariff structure significantly. It has been convenient that the IT sector is not only contributes considerably to export earnings and GDP but also emerges as a foremost foundation of employment generation in the country.

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 Keywords

Information Technology, Electronic Hardware, Telecom Equipments, Production, Production for Domestic Use, Exports, Direction and GDP.

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 Abstract

BACKGROUND: Extended periods of standing are linked to abnormalities in the posture of the feet, hence reducing their longevity. Males and females have different foot shapes geometrically. Foot discomfort significantly affects one's quality of life and is a major public health concern. Our aim is to find out the gender specific differences in foot posture deformities in salespeople. OBLECTIVE: To find out the prevalence of foot posture deformities using foot posture index and associated foot pain in salespeople. METHODS: A cross sectional study was done in 100 males and 100 females in sales Industry. The Foot posture deformities were assessed using the foot posture index and foot pain was assessed using SAFE- Q Questionnaire. RESULTS: A total of 200 participants who satisfied in the inclusion criteria participated in the study. Mean age of participants was (mean= 42) and (SD= 9.6). According to foot posture index analysis,54% have foot posture deformities. Out of 100 males,53% are affected and out of 100 females, 55% are affected. There is 2% minor increase in foot posture deformities in females compared to males. In subjects with foot posture deformities, 41.5% of males and 81.8% of females have foot pain. CONCLUSION: The study concluded that salespeople have significant foot posture deformities. In our research, there is 2% minor increase in foot posture deformities in females compared to males. Many of them have foot posture deformities in both feet. Females have more pronated foot posture deformities while males have both supinated and pronated types. We also found that women with foot posture deformities have increased foot pain compared with males. In our study, obese people have increased foot posture deformities.

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 Keywords

Foot Posture Deformities, FPI,SAFE-Q

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study introduces an emotion-driven music recommendation system that harnesses the power of facial expression detection to personalize user experiences. By utilizing a Convolutional Neural Network (CNN) for emotion recognition, the system captures facial features from webcam images to accurately identify emotional states such as happiness, sadness, anger, and surprise. Based on the detected mood, it curates a YouTube playlist that aligns with the user's emotions, enhancing their listening experience in real time. The system operates in two key stages: a training phase, where the model learns to recognize facial cues associated with various emotions, and a real-time detection phase, where the user's mood is continuously analyzed. By integrating deep learning and image processing techniques, the system ensures precise emotion recognition, enabling accurate music recommendations. This approach not only enhances personalization but also highlights the potential of AI-driven solutions in music recommendation systems. Future enhancements may include incorporating more advanced emotion detection algorithms, expanding the music library for greater cultural diversity, and improving adaptability to individual user preferences, further enriching the immersive experience.

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 Keywords

Facial expression recognition, emotion-based music recommendation, real-time detection, CNN, YouTube integration, artificial intelligence, dynamic monitoring.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

'Veli Kisan Rukamani Ree 'ka Kavyasastriya Vivechan

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Vivechan

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Lung cancer is a leading cause of cancer - related deaths worldwide. A malignant lung tumor, lung cancer or lung carcinoma is defined by unchecked cell proliferation in the lung tissues [2]. The leading cause of death for both men and women in the United States of America (USA) is lung cancer, a highly aggressive, quickly spreading, and common malignancy. The search for effective and non-toxic treatments has led to increased interest in medicinal plants. Phyllanthus niruri, a traditional herbal remedy, has shown promising anticancer properties. Phyllanthus niruri were extracted using Soxhlet apparatus with ethanol as a solvent. Lung cancer cells were treated with varying concentration of Phyllanthus niruri extracts, and cell viability was assessed using MTT assay. The study demonstrates the potential of Phyllanthus niruri as a therapeutic agent against lung cancer. Further studies are needed to explore the underlying mechanisms and to evaluate the in vivo efficacy of Phyllanthus niruri extract.

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Lung cancer, Phyllanthus niruri, ethanol and MTT assay.

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Creative Commons Attribution 4.0 and The Open Definition

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Access to justice is a fundamental right guaranteed by the Indian Constitution, yet rural India faces significant barriers in realizing this right effectively Despite the presence of a structured legal aid framework, including the National Legal Services Authority, implementation gaps persist. This study examines the existing legal aid infrastructure, highlighting key challenges such as lack of legal awareness, financial constraints, geographical remoteness, and systemic inefficiencies. By analyzing these obstacles, this paper proposes a roadmap to enhance legal help services in rural India. The study emphasizes the potential of technology-driven interventions, legal literacy programs, and institutional reforms to bridge the justice gap. The recommendations provided aim to build a robust and inclusive legal aid system, aligning with the broader vision of Viksit Bharat 2047.

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Access to justice, legal aid, rural India, National Legal Services Authority, legal awareness, financial constraints, geographical remoteness, systemic inefficiencies, technology-driven interventions, legal literacy, institutional reforms, Viksit Bharat 2047.

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The current study has been undertaken to assess knowledge score regarding Menopausal Osteoporosis and Its Prevention among women by awareness programme in Vill- Khudel, Indore. 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 Menopausal Osteoporosis and Its Prevention among women. The data was analyzed by using descriptive & inferential statistical methods. The most significant finding was that 20.5% of women were having average knowledge regarding Menopausal Osteoporosis and Its Prevention whereas 79.5% had fair knowledge after post-test. It was suggested that nurses must educate women regarding Menopausal Osteoporosis and Its Prevention.

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 Keywords

Impact, awareness programme, knowledge & Menopausal Osteoporosis and Its Prevention

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Creative Commons Attribution 4.0 and The Open Definition

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SQL injection is a critical cyber security threat that exploits web application vulnerabilities to manipulate database queries. As Browser/Server (B/S) architecture becomes dominant in web development, improper input validation remains a major security risk. Attackers inject malicious SQL code to bypass authentication, extract sensitive data, or compromise entire systems. With the increasing prevalence of web server vulnerabilities, SQL injection especially in ASP, PHP, and other scripting environments has become a primary attack vector. This paper examines SQL injection principles, attack methods, and detection techniques, highlighting best practices for mitigation, including prepared statements, input sanitization, and Web Application Firewalls (WAFs). A case study on SQL injection prevention in ASP-based platforms demonstrates real-world security implementations. Strengthening security practices is crucial to mitigating risks and ensuring robust database protection.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SQL Injection (SQLi) , SQLi Mitigation Strategies , Injection Attacks , Machine learning , WAFs , AI

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Creative Commons Attribution 4.0 and The Open Definition