Volume 13 | Issue 4 |

 Abstract

Databases store and manage critical data, making them prime targets for security threats. various security issues [1], such as SQL injection, unauthorized access, insider threats, and data breaches, pose significant risks to database integrity and confidentiality. Additionally, improper encryption, weak authentication mechanisms, and inadequate access controls can further expose databases to cyberattacks. To mitigate [3] these threats, organizations implement security measures such as role-based access control (RBAC), multi-factor authentication (MFA), and encryption techniques for data at rest and in transit. Firewalls, intrusion detection systems (IDS), and regular security audits help identify and prevent unauthorized access. Moreover, database activity monitoring (DAM) and the use of secure coding practices minimize vulnerabilities like SQL injection. This seminar discusses various security challenges in databases and explores modern solutions, including blockchain-based security [2], zero-trust architecture, and AI-driven anomaly detection. By implementing robust security strategies, organizations can safeguard their databases against evolving cyber threats and ensure data privacy, integrity, and availability.

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 Keywords

Database security, SQL injection, unauthorized access, insider threats, data breaches, encryption, weak authentication, access controls, RBAC, MFA, IDS, firewalls, security audits.

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 Abstract

Neck pain and disability are prevalent in HNC patients, which can be attributed to the diagnosis itself or its treatment. Neck pain and associated disability may cause psychological distress and subsequently decrease the patients' QoL. This longitudinal prospective study has been undertaken to assess neck pain and related functional and psychological concerns and determine the QOL among HNC patients receiving anti-cancer treatment. 35 head and neck cancer patients undergoing cancer treatment will be enrolled in the study. They will undergo a baseline evaluation before the initiation of treatment and will be followed up at 1st month, 2nd month, and 3rd month.

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 Keywords

Anxiety, depression, head and neck cancer, neck disability, neck pain, QOL

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Heart disease remains one of the leading causes of mortality worldwide, necessitating early detection and accurate prediction to improve patient outcomes. Traditional diagnostic methods often require extensive medical expertise and expensive tests, leading to delays in diagnosis. Machine learning (ML) techniques offer a promising solution by analyzing vast datasets to identify patterns indicative of heart disease. This study explores the application of various ML algorithms, including Logistic Regression, Decision Trees, Random Forest, and Support Vector Machines, to predict heart disease based on clinical parameters such as blood pressure, cholesterol levels, and lifestyle factors. The dataset used for this research is sourced from reputable medical repositories, ensuring reliability and robustness. The proposed model achieves high accuracy in disease classification, showcasing the effectiveness of ML-driven predictions. The findings highlight the potential of machine learning in aiding healthcare professionals with early detection, improving treatment plans, and reducing death rates. (CVDs) account for approximately 17.9 million deaths each year, making them the leading cause of mortality worldwide. Early detection and prevention are crucial in reducing the fatality rate and improving patient survival. Conventional diagnostic approaches, such as electrocardiograms (ECG), echocardiograms, and angiograms, require specialized equipment and expertise, making them less accessible in many regions. In recent years, machine learning has emerged as a powerful tool in the healthcare domain, capable of analyzing complex medical data to identify patterns and predict diseases with high accuracy. By leveraging ML algorithms, healthcare professionals can improve diagnostic precision, automate risk assessment, and provide personalized treatment recommendations. This study focuses on applying various machine learning techniques to predict heart disease using clinical datasets. The primary objective is to develop a model that can accurately classify individuals at risk of heart disease based on key health indicators, including age, cholesterol levels, blood pressure, diabetes status, and lifestyle habits.

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 Keywords

Angiograms, Blood Pressure, Decision Tree, Electronic Health Records, ECG, FBS, Heart Disease Prediction, Logistic Regression, Machine Learning Models, Random Forest, Support Vector Machines.

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The present study was aimed at diabetic studies with orally administered aqueous leaf extract of Ocimum sanctum Linn (OSE). In this study four groups of mice (n=6/group) were tested, in which the first group the normal group, the second group diabetic control group was injected with 70 mg/kg bw alloxan, and the third and fourth groups of diabetic mice were orally treated with doses of 100 and 200 mg/kg bw of O. sanctum for 28 days, and a blood glucose study was taken. Treatment with OSE did show some changes in their blood glucose.

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O. sanctum, Antidiabetic, Alloxan, Glucose , Aqueous, Antioxidant

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A straightforward framework for creating wireless network protocols incorporates localized broadcasting and routing. The basic foundation is predicated on the cost-benefit ratio of specific choices, such cutting back on the number of distances. In this wireless network application, one of the main networks is the routing protocol. These are some of the most often used routing strategies in network layers. In the distributed routing in every node determines if routing through a certain neighbor is less expensive than using nodes that are already in use.

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 Keywords

Packet Delivery, Routing Protocols, Network Layer, IPv4, IPv6, ICMP, RIP, and Network Efficiency

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Artificial intelligence (AI) within financial technology (FinTech) platforms creates radical changes in customer-related activities and operational performance while adjusting service delivery practices. This research examines AI-based service solutions that affect user interactions through evaluations of service quality as well as trust and personalization, and sustainability. A quantitative research method involved gathering survey information from people who actively use FinTech platforms that incorporate artificial intelligence technologies. Through AI technology, financial service providers enhance customer satisfaction by simplifying delivery systems and providing better ease-of-use options. The level of trust users have in AI encounters problems because of their worries about data protection, together with their need to understand how algorithms work. The research demonstrates why FinTech companies must use AI properly through visible system operations along with security protocols and adherence to rules. The research links technical innovation with user expectations to supply FinTech companies with tactics that optimize Artificial Intelligence applications for better interactions with customers. This study advances the financial service AI knowledge base by presenting applicable solutions for sustainable ethical development of FinTech innovation.

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The analysis incorporates Artificial Intelligence, FinTech, customer Experience and Service Quality, User Perception, Convenience, and Sustainability as important terms.

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This paper rethinks translation studies through an ecological framework, proposing an integrated approach that considers language, culture, and environment as mutually constitutive systems. It moves beyond the traditional source-target text dichotomy to examine how translations function within broader ecological networks of meaning, power, and survival. While translation studies have made significant strides in various interdisciplinary directions, a notable vacuum persists in addressing environmental literature, particularly at the theoretical level. This gap is critical given the rising global concern for sustainability and ecological consciousness. The paper undertakes a critical survey of how environmental thinking has evolved within translation discourse and identifies emerging paradigms that align translation practice with ecological ethics. By highlighting the necessity of an ecologically informed translation theory, and calls for a reorientation of translation studies toward sustainability, responsibility, and interconnectedness.

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Eco-translation, Ecolinguistics, Translation Ethics, Sustainability, Environmental Humanities

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The aim of the present study is to investigate mathematical mistakes related to definite integration committed by Yashwantrao Chavan Polytechnic students at First Year Diploma Level in their academic. For this study 69 students from first year diploma classes were chosen randomly. The samples of this study were collected from the test attempted by the participants. The following are the primary difficulties that students face while solving definite integration problems; didn't get the basics, had trouble choosing how to solve, relied on memory, didn't do enough practice, time was a problem

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 Keywords

Definite Integration problems, Problem-Solving, Conceptual Understanding, Time Management.

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In India Parliamentary Privileges have become the "Democles swords" which hang over those whose business it is to write on proceedings of the legislatures. The Non codification of privileges causes confusion and violates the freedom of speech and expression. There are several instances after independence of India, It has been seen that parliamentary privileges has been misused for example: In 2017, two senior scribes of Kannada tabloids were jailed for the breach of privileges of the state assembly. Other instances is The Blitz case (1951) The search light case (1959), Kesav singh case and the hindu case (2003) etc. The concept of parliamentary privileges has been taken from UK but it is quite incumbent to know that the situation of UK is very different. Firstly in UK Parliament is Sovereign but in India Sovereignty lies in the people of India, In Britain Law can be enacted through simple majority only and there is no as such judicial review but In India Judicial review is the basic structure of the constitution and there are certain laws enacted through special majority and special majority with ratification. Through this research paper Researcher is going to analyse the concept of Parliamentary Privileges of India, UK, Australia and New Zealand.

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Privileges of Member of Parliament in India: A comparative Study with UK, Australia, New Zealand and Canada.

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 Abstract

Suryabala Ki Kahaniyo Me Nari Savedna : Ek adhayan

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Suryabala Ki Kahaniyo Me Nari Savedna : Ek adhayan

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