Volume 12 | Issue 8 |

 Abstract

The study aimed to determine the differences in general well-being between adolescents from joint families and those from nuclear families. General well-being refers to an individual's quality of life, encompassing aspects such as health, happiness and prosperity. The results reveal a notable difference in the well-being of adolescents from joint families compared to those from nuclear families. The level of emotional stability, social development, personality integration and overall health is better in adolescents from joint families as compared to nuclear families.

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 Keywords

Well-being, Joint and Nuclear family, Adolescents.

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 Abstract

Pongaemia Pinnata is a traditional plant with huge medicinal value.Conventional natural plants are more preferrable compared to synthetic drugs,because these drugs are gift by nature to the mankind

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 Keywords

Antihyperglycemic,Antilipidemic,Analgesic,Antidiabetic

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The research paper is to determine the study of the employee welfare measure. An organization's most precious asset is its workforce. The term "employee welfare" refers to all actions taken by an employer for the benefit or comfort of its employees, including the provision of services, facilities, and perks. It is done in an effort to increase production and inspire workers. The goals of knowing employee welfare are to enhance working-class life, promote the total development of the employee's personality, and other things. Housing options, free medical care, retirement benefits, children's and adults' educational perks, welfare programs for the employee's families, loan options, etc. are just a few of the employee welfare amenities. The type of research methodology used is descriptive.

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 Keywords

Employee, Organization Welfare.

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Indian constitution is a standout amongst the most proficient composed constitution that any nation has ever produced. The purpose for this paper is intended towards investigating or exploring about the article 370 of the constitution, purpose, advantages

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Article, constitution

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Creative Commons Attribution 4.0 and The Open Definition

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Diabetes mellitus is a major global health issue that affects millions of people due to its harmful effects on mortality and overall health. It causes hyperglycemia and related problems and is characterised by abnormalities in insulin production and action, glucose metabolism, and insulin action.One especially common variant of diabetes mellitus that offers treatment and management issues is type 2 diabetes mellitus (T2DM). Among the available treatments, vildagliptin, a DPP-4 inhibitor, is unique in that it can regulate glucose metabolism by blocking the DPP-4 enzyme. Because it is non-invasive and doesn't cause gastrointestinal side effects, topical medication administration is a potential approach to managing diabetes. Gels are a good option for topical formulations because of their benefits as a dosage form, which include increased biocompatibility and enhanced drug release kinetics. The purpose of this study is to create a gel formulation containing vildagliptin that is stable, safe, and efficacious for topical administration. A range of polymers in varying concentrations will be assessed in order to maximise the formulation. Furthermore, the gel's stability and in-vitro performance will be evaluated. The goal of the research is to improve treatment results for patients with diabetes mellitus by reducing dosage frequency, increasing drug bioavailability, and mitigating hepatic first-pass metabolism by combining vildagliptin into a topical gel.

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 Keywords

Gel; Anti-Diabetic; Vildagliptin; Topical Drug Delivery; Evaluation tests.

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Online Payment Fraud Detection With the rapid expansion of e-commerce and online transactions, the risk of payment fraud has become a significant concern for businesses and consumers alike. This project focuses on the development and implementation of an online payment fraud detection system leveraging advanced machine learning algorithms and data analytics techniques. By analyzing transactional data, user behavior patterns, and contextual information, the system aims to identify and prevent fraudulent activities in real-time. Through data preprocessing, feature engineering, and model training, the system learns to distinguish between legitimate and fraudulent transactions. Various machine learning algorithms, including logistic regression, random forest, and neural networks, are employed to detect anomalies and patterns indicative of fraudulent behavior. Evaluation metrics such as precision, recall, and F1-score are used to assess the system's performance and ensure its effectiveness in detecting fraudulent transactions while minimizing false positives. Additionally, the project explores the integration of real-time data streams, anomaly detection techniques, and behavioral biometrics to enhance the system's fraud detection capabilities further. Ultimately, the developed online payment fraud detection system serves as a crucial tool for protecting businesses and consumers from financial losses and preserving trust in online payment ecosystems.

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 Keywords

Online Payment Fraud, Machine Learning, Fraud Detection, E-commerce Security, Anomaly Detection, Data AnalyticsReal-time Monitoring, Behavioral Biometrics

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Gender inequality is a pressing issue in Indian society. Despite a constitution that guarantees equal rights for men and women and decades of legislation, some deep-rooted gender discrimination in India takes a brutal toll on women's lives. Even after rapid economic growth, gender disparities remain all too familiar: 1,000 girls die each day before reaching the age of five due to neglect. This paper titled "Gender Inequality at Workplace: A Sociological study", is an efficient effort to study this inequality. This study is based on the primary data and is conducted in Aligarh district of UTTAR PRADESH. Sample size of 40 is taken for the study. This study will help in building strong suggestions and recommendations to cure gender inequality.

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 Keywords

Inequality, Economic , Growth, Legislation.

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--Face recognition is a technology that identifies and verifies individuals by analyzing unique patterns based on their facial features. Different methods are used to make face recognition systems accurate and efficient. This paper offers diverse methodologies used in computer vision, focusing on face detection, recognition, and manipulation detection. Techniques such as detecting CNN-synthesized images involve training classifiers and creating datasets to identify forged images, while joint 3D face reconstruction and recognition methods optimize accuracy using deep neural networks. Additionally, 3D decomposition and composition search strategies aim to detect facial forgeries, and dimensionality reduction via PCA enhances computational efficiency. Low-light image enhancement techniques improve image quality, aiding in tasks like face detection, while face detection and recognition using face mesh and DNNs utilize advanced algorithms for accurate identification.

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Face recognition, Unique patterns, CNN-synthesized images, 3D face reconstruction, Deep neural networks,3D decomposition, PCA

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Research is focusing on the search for new types of natural chemotherapeutic agents derived from plants which are proving to be excellent sources of new compounds. This review aimed to highlight the information regarding physicochemical properties, Chemical Composition, Anticancer properties and their administrations of jackfruit. Artocarpus heterophyllus shows anticancer properties due to the presence of phytochemicals like lignans, saponins, flavonoids carotenoids, tannins, volatile acid steroids and also the properties such as anti-oxidant, anthelminthic, anti-inflammatory, anti-bacterial, anti-viral activities. The phytochemical constituent artocarpine have effect on cancer cells. Target specific agents that are capable of inducing selective apoptosis of cancer cells but are harmless to the normal cells are receiving considerable attention in the field of cancer prevention and therapy. The flavonoid compound artonine B have anti-cancerous effect on human cancer cells. Different studies are performed on this topic and reported. Also, further researches and studies are ongoing. OBJECTIVE: The objective of this article is to provide a detailed and systematic knowledge on the anti-cancer property of Artocarpus heterophyllus (jack fruit) and its medicinal values. METHODS: A vigorous, maximum sensitive and online search of the literature was performed in published articles in the last 20 years (JUNE 2000-JUNE 2020). The databases searched were MEDLINE (via PubMed) and Cochrane Library. CONCLUSION: Cancer is becoming a high profile disease in developed and developing worlds. In 2017 the WHO published that in 2015, 7.6 million people died from cancer related diseases with the majority of these people living in low-income countries. the demand for a cure and the prevention of cancer is extremely high. Experimental studies performed in the past suggest that, jackfruit possesses diverse medicinal uses including antioxidant, anti-inflammatory, antimicrobial, ant cariogenic, antineoplastic and hypoglycemic effects, inhibits melanin biosynthesis, possesses wound healing properties, and causes a transient decrease in the sexual performance. Target specific agents that are capable of inducing selective apoptosis of cancer cells, but are harmless to normal cells are receiving considerable attention in the fields of cancer prevention and therapy. Therefore, Artocarpus heterophyllus is a candidate for development as a Chemo preventive agent.

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 Keywords

Artocarpous Heterophyllus, Phytochemicals, jack Fruit

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 Abstract

Bosentan HCL, a widely used pharmaceutical compound, necessitates precise and reliable analytical methods for its estimation in bulk. This study focuses on the development and validation of an analytical method for the quantitative determination of Bosentan HCL in bulk samples. Various analytical techniques, including high-performance liquid chromatography (HPLC), UV-Visible spectrophotometry, and titrimetric methods, were explored for their suitability in Bosentan HCL analysis. The developed method involves the utilization of HPLC due to its high sensitivity, specificity, and reproducibility. Parameters such as mobile phase composition, column type, wavelength, flow rate, and injection volume were optimized to achieve robust separation and quantification of Bosentan HCL. Method validation was performed according to International Conference on Harmonization (ICH) guidelines, encompassing specificity, linearity, accuracy, precision, and robustness studies. The developed HPLC method exhibited excellent linearity over a wide concentration range, with good precision and accuracy. Specificity studies confirmed the absence of interference from potential impurities or excipients present in bulk samples. Validation results demonstrated the reliability and suitability of the developed method for Bosentan HCL estimation in bulk materials. This validated analytical method provides a valuable tool for quality control laboratories, pharmaceutical industries, and regulatory authorities involved in the assessment of Bosentan HCL raw materials and formulations. Moreover, it contributes to ensuring the safety, efficacy, and quality of pharmaceutical products containing Bosentan HCL. This abstract outlines the importance of developing an accurate and reliable method for the estimation of Bosentan HCL in bulk, the approach taken in the study, and the validation of the developed method according to regulatory standards.

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 Keywords

HPLC,UV,ICH

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Creative Commons Attribution 4.0 and The Open Definition