Volume 12 | Issue 8 |

 Abstract

One of the main concerns for structures built on sandy soils is soil liquefaction. Liquification is the process by which tightly packed, damp granular soil near the ground's surface loses strength from severe ground trembling. Existing structures fall as a result of this phenomenon, taking lives and property with them. Thus, while constructing a foundation, it is essential to comprehend the zone of liquefaction at a particular area. In light of this, a sand-rich location in Kolkata's Sonarpur neighborhood has been chosen for the current study. The goal of the current study is to assess the soil's liquefaction potential using the SPT and CPT methods in Sonarpur, which is close to Kolkata. It has been determined how resistant soils are to liquefaction, measured in terms of the cyclic resistance ratio (CRR). The article highlights the site's distinctive liquefaction zone, which may be taken into consideration when constructing the geotechnical foundation there.

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 Keywords

Liquefaction Potential , SPT,CPT

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

At the Market on Morality is a story in a short story book called "Ombasini" (The Last Night Morning). Urkhaogwra Brahma has was written the book in 2001. The subject of the short story in the Morality Market is written about the meeting of the public store. Where all kinds of morality are found. It includes politics, economics, business, education, and personality. There is also the morality of status in various languages. It is to them that the story is narrated. The story can be said to have had an indirect impact on political business. This is because the morality market has seen all kinds of morality. It is taken up for discussion here. This meeting was replaced by a theatre. Where the store is compared to the theatre. Hence, the narrative style has been neglected by the narrator.

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 Keywords

Language, Politics, Business, Education, Personality Morality

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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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Antihyperglycemic,Antilipidemic,Analgesic,Antidiabetic

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Creative Commons Attribution 4.0 and The Open Definition

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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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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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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition