Published Thesis
Thesis Title: A STUDY TO ASSESS THE EFFECTIVENESS OF HEALTH AWARENESS PROGRAMME REGARDING KNOWLEDGE ON POST EXPOSURE PROPHYLAXIS (PEP) TO BLOOD BORNE PATHOGENS AMONG STUDENT NURSES OF SELECTED SCHOOL OF NURSING, DEHRADUN, UTTARAKHAND
Published Thesis ID: - IJSDRTH01009
Registration ID - 304134
Pages: a613-a683
Year: July-2025
Author Name(s): Suricha, Sulekha
Publisher Name: IJSDR(IJ Publication) Janvi Wave
Abstract
The aim of study was to assess the effectiveness of health awareness programme regarding knowledge on post exposure prophylaxis to blood borne pathogens among students nurses of selected school of nursing, Dehradun, Uttarakhand. A pre-experimental one group pre- test post test design was adopted for this study. 60 GNM 1st year students were selected by using non probability purposive sampling technique from Sai school of nursing and SGRR college of nursing at Dehradun. The data were collected by self-structured knowledge questionnaire on post exposure prophylaxis to blood borne pathogens and analyzed by using descriptive and inferential statistics with help of SPSS package. The result revealed that the mean pre-test knowledge score of the student nurses were 18.52, mean percentage 51.44% with standard deviation 4.459 whereas the mean post test knowledge score were 24.30, mean percentage 67.5% with standard deviation 4.830. In pre test knowledge majority 68% of the student nurses had average knowledge, 16.7% had good knowledge and 15% of them had poor knowledge regarding post exposure prophylaxis to blood borne pathogens. in post test knowledge. majority 75% of the student nurses had average knowledge, 25% had good knowledge and none had poor knowledge regarding post exposure prophylaxis to blood borne pathogens. The combined ‘t’ test value was significant i.e. 43.636 at p< 0.05 level. Which indicate health awareness programme was effective in improving knowledge of student nurses regarding post exposure prophylaxis to blood borne pathogens. No significant association between pre-test knowledge score of student nurses regarding post exposure prophylaxis to blood borne pathogens with selected demographic variables. Hence, the research hypothesis rejected and null hypothesis accepted. The study was concluded that the health awareness programme was effective in increasing knowledge regarding post exposure prophylaxis to blood borne pathogens among student nurses. It is recommended that well design lecture, seminar and education programme should be conducted on time to time for student nurses. So that they can practice preventive approach.
Licence
Creative Commons Attribution 4.0 and The Open Definition
Keywords
ASSESS - it refers to evaluate and estimate the knowledge of GNM 1st year students on post exposure prophylaxis to blood borne pathogens. EFFECTIVENESS - the extent to which the health awareness program has achieved the desired effect as measured by knowledge score of GNM 1st year students after administered health awareness programme. HEALTH AWARENESS PROGRAMME - health awareness programme refers to planned educational activity regarding post exposure prophylaxis to blood borne pathogens. KNOWLEDGE - it refers to level of understanding GNM 1ST year students regarding post exposure prophylaxis to blood borne pathogens. POST EXPOSURE PROPHYLAXIS - post exposure prophylaxis is a medical response to prevent transmission of pathogen after potential exposure to blood borne pathogens. BLOOD BORN PATHOGENS - Blood borne pathogens is pathogenic micro-organism that are carried in blood and cause disease in people. The most common pathogens include hepatitis B, hepatitis C and HIV. NURSING STUDENTS - In this study, it refers to the students who are studying in the GNM 1St year in selected school of nursing, Dehradun.
License
Creative Commons Attribution 4.0 and The Open Definition
Thesis Title: AUTOMATED ALZHEIMER DISEASE PREDICTION USING MRI SCANS AND TRANSFER LEARNING TECHNIQUES
Published Thesis ID: - IJSDRTH01008
Registration ID - 303640
Pages: a518-a612
Year: July-2025
Author Name(s): SUBASTY M, GANESAN.T
Publisher Name: IJSDR(IJ Publication) Janvi Wave
Abstract
Disorders of the brain are one of the most difficult diseases to cure because of their fragility, the difficulty of performing procedures, and the high costs. On the other hand, the surgery itself does not have to be effective because the results are uncertain. Adults who have hypertension, one of the most common brain illnesses, may have different degrees of memory problems and forgetfulness. Depending on each patient's situation. For these reasons, it's crucial to define memory loss, determine the patient's level of decline, and determine his brain MRI scans are used to identify Alzheimer's disease. In this project, we discuss methods and approaches for diagnosing Alzheimer's disease using deep learning. The suggested approach is utilized to enhance patient care, lower expenses, and enable quick and accurate analysis in sizable investigations. Alzheimer's disease is a progressive neurodegenerative disorder that affects millions of people worldwide. Early detection of the disease can improve patient outcomes, and brain MRI scans have shown promise as a tool for detecting Alzheimer's disease in its early stages. In recent years, deep learning algorithms, such as pre trained model named as VGG16, have been increasingly used in Alzheimer's disease analysis from brain MRI scans. This paper proposes a VGG16-based system for Alzheimer's disease analysis from brain MRI scans. The proposed system involves several steps, including data preprocessing, feature extraction, training the VGG16 model, and evaluating its performance on a test set. The results demonstrate the effectiveness of the proposed pre trained model-based system in accurately detecting Alzheimer's disease from brain MRI scans. The proposed system has the potential to improve early detection and monitoring of Alzheimer's disease, leading to improved patient outcomes.
Licence
Creative Commons Attribution 4.0 and The Open Definition
Keywords
Alzheimer's Disease prediction
License
Creative Commons Attribution 4.0 and The Open Definition
Thesis Title: ANALYSIS OF CAPITAL STRUCTURE OPTIMISATION OF ORGNISATION
Published Thesis ID: - IJSDRTH01007
Registration ID - 303779
Pages: a427-a516
Year: June-2025
Author Name(s): Sameer chavan
Publisher Name: IJSDR(IJ Publication) Janvi Wave
Abstract
capital structure optimisation of firm
Licence
Creative Commons Attribution 4.0 and The Open Definition
Keywords
finnace , capital, orgnisation
License
Creative Commons Attribution 4.0 and The Open Definition
Thesis Title: A Legal Perspective on Cybercrime and Financial Fraud in the Banking Sector
Published Thesis ID: - IJSDRTH01006
Registration ID - 303149
Pages: a368-a426
Year: May-2025
Author Name(s): Akash Nanda
Publisher Name: IJSDR(IJ Publication) Janvi Wave
Abstract
In the contemporary digital landscape, the financial sector has increasingly fallen prey to cybercrime and financial fraud, highlighting the necessity for robust legal structures to ensure security and stability. Banking law plays a crucial role in addressing the challenges posed by cyber threats, protecting consumer rights, preserving financial integrity, and ensuring adherence to regulations. This dissertation explores the evolution of banking law in response to cybercrime and financial fraud, examining both national and international legal frameworks governing financial institutions. Cybercrime within the banking industry manifests in various forms, including identity theft, phishing, ransomware attacks, and fraudulent transactions. Conversely, financial fraud encompasses activities such as money laundering, insider trading, and Ponzi schemes, all of which can have dire economic consequences.The rise of digital banking and fintech innovations has further exposed financial systems to sophisticated cyber threats, underscoring the need for legal measures to mitigate risks. A critical aspect of banking law in combating cybercrime is the implementation of stringent cybersecurity regulations. Governments and regulatory bodies across the globe have enacted laws such as the Gramm-Leach-Bliley Act (USA), the General Data Protection Regulation (GDPR) (EU), and the Cybersecurity Act, mandating financial institutions to adopt robust security protocols. These regulations require banks to implement risk management frameworks, data encryption, multi-factor authentication, and continuous transaction monitoring. Nevertheless, despite these safeguards, cybercriminals persist in developing advanced techniques to circumvent security measures, necessitating ongoing reforms in legal frameworks.Another important focus of banking law is the prevention of fraud and the protection of consumers. Financial regulators such as the Financial Action Task Force (FATF), the Basel Committee on Banking Supervision, and the Financial Crimes Enforcement Network (FinCEN) have created anti-money laundering (AML) and counter-terrorism financing (CTF) regulations to monitor suspicious financial activities. Additionally, Know Your Customer The policies regarding Know Your Customer (KYC) and Customer Due Diligence (CDD) have been enhanced to verify client identities and prevent fraudulent activities. However, the enforcement of these measures remains difficult due to the international nature of cybercrime, which necessitates cooperation and information exchange among financial institutions and law enforcement agencies across different countries. This dissertation also explores the challenges of enforcing banking regulations against cybercrime.A primary obstacle is the issue of jurisdiction, as cybercriminals operate across multiple nations, complicating legal enforcement. Additionally, financial institutions often face difficulties in balancing security with user convenience, as overly strict regulations may hinder the adoption of digital banking. The rise of cryptocurrencies and decentralized finance (DeFi) platforms presents another challenge, as traditional banking regulations struggle to effectively govern these new financial models. In response to these issues, banking law is continually evolving, incorporating artificial intelligence (AI) and blockchain technology for fraud detection and regulatory compliance. AI based fraud detection systems analyze transaction patterns to identify anomalies, while blockchain enhances transparency and traceability in financial transactions. Future banking regulations are expected to focus on real-time monitoring, global regulatory alignment, and improved cybersecurity measures to tackle the ever-evolving landscape of financial crime. In conclusion, banking law plays a vital role in combating the rise of cybercrime and financial fraud by establishing regulatory standards, enforcing compliance, and fostering international collaboration. However, as cyber threats continue to evolve, legal frameworks must adapt to new technologies and financial innovations. This dissertation provides a thorough analysis of the effectiveness of current banking laws, the challenges of enforcement, and potential future developments.
Licence
Creative Commons Attribution 4.0 and The Open Definition
Keywords
Cybercrime, Financial Fraud, Banking Law, Regulatory Compliance, Digital Banking Security
License
Creative Commons Attribution 4.0 and The Open Definition
Thesis Title: SWIFT INTERNATIONAL PAYMENT MECHANISM IN IDBI BANK LTD
Published Thesis ID: - IJSDRTH01005
Registration ID - 302173
Pages: a303-a367
Year: April-2025
Author Name(s): Nikhil Pande, Sakshi baheti, Rushikesh Muluk
Publisher Name: IJSDR(IJ Publication) Janvi Wave
Abstract
**Abstract** This report presents a concise overview of the SWIFT payment system, highlighting its operational mechanisms, associated challenges, emerging trends, and key learnings from an internship at IDBI Bank. SWIFT plays a vital role in secure and standardized communication among financial institutions worldwide. The system mandates rigorous assessment and ongoing compliance to ensure institutional reliability and operational integrity. Key message types, such as Letters of Credit and Bank Guarantees, support the facilitation of international trade. Despite its benefits, SWIFT faces issues like high operational costs and transaction delays. Future advancements are expected through blockchain integration and faster payment solutions. The internship experience provided valuable exposure to SWIFT message management, Alliance sessions, and trade finance processes, offering insights into optimizing efficiency, enhancing cybersecurity, and adapting to evolving global financial demands.
Licence
Creative Commons Attribution 4.0 and The Open Definition
Keywords
SWIFT payment system , International trade ,Financial messaging , Trade finance , Blockchain integration
License
Creative Commons Attribution 4.0 and The Open Definition
Thesis Title: IMPACT OF CONTENT STRATEGIES ON SOCIAL MEDIA ENGAGEMENT: A COMPARATIVE STUDY ACROSS PLATFORMS
Published Thesis ID: - IJSDRTH01004
Registration ID - 302096
Pages: a262-a302
Year: April-2025
Author Name(s): Naveen Raj
Publisher Name: IJSDR(IJ Publication) Janvi Wave
Abstract
The rapid evolution of social media has made content strategy a critical factor in driving user engagement across diverse platforms. This study investigates the impact of varying content strategies on social media engagement, comparing performance across multiple platforms, including [Facebook, YouTube, WhatsApp, Telegram, LinkedIn, Google Analytics, X, Instagram]. Utilizing a mixed-method approach, the research analyzes quantitative engagement metrics—such as likes, shares, comments, and click-through rates—alongside qualitative insights derived from content type, posting frequency, and audience interaction patterns. Data was collected from active social media accounts and supplemented by website traffic analysis via Google Analytics to assess downstream effects. Preliminary findings suggest that platform-specific content tailoring significantly influences engagement levels, with visual-heavy strategies outperforming text-based approaches on [e.g., Instagram], while concise, conversation-driven posts excel on [e.g., X]. Furthermore, the study reveals that timing and consistency of posts play a pivotal role in sustaining engagement, particularly on algorithm-driven platforms. These insights underscore the importance of flexibility and data-driven decision-making in content creation. This comparative study highlights the necessity of adaptive content strategies to maximize audience interaction and provides actionable insights for digital marketers aiming to optimize cross-platform performance.
Licence
Creative Commons Attribution 4.0 and The Open Definition
Keywords
Marketing, Social Media, Digital Marketing, Social Media Marketing, Digital Media, Google Analytics
License
Creative Commons Attribution 4.0 and The Open Definition
Thesis Title: Assess Knowledge Regarding Breast Milk Banking Among Postnatal Mothers
Published Thesis ID: - IJSDRTH01003
Registration ID - 301098
Pages: a173-a261
Year: March-2025
Author Name(s): Ms. Sukriti Pandey, Debarati Ghosh, Shafali Thakur
Publisher Name: IJSDR(IJ Publication) Janvi Wave
Abstract
Introduction: Breast milk is the very important thing for a newborn and it is containing all primary nutrients. The first milk bank in Asia under the name of Sneha established by Dr. Armeda Fernandez was started in Dharavi, Mumbai in Sion Hospital on 27th November, 1989. According to Human milk banking guideline 2014 A human milk bank, breast milk bank or lactarium is a service that collects, screens, processes, pasteurizes, and dispenses by prescription milk donated by nursing mothers who are not able to biologically related to the recipient infant. The government of India in 2018 has acknowledged the role that human milk banking can play in reducing neonatal mortality and morbidity, and launched the “National Guidelines on Lactation Management Centres in Public Health Facilities” with a vision to make breast milk universally available for all infants. [13] WHO plans to develop guidelines on donor human milk banking during 2022-2023. Objectives: • To assess the knowledge regarding Breast milk banking among postnatal mothers. • To assess the association between demographic variable and knowledge regarding breast milk banking among postnatal mothers. Methods: A non - experimental design was employed, 200 postnatal mothers with 0–6-month age of baby in community area. The self - structured questionnaire was used data collection. Results: The result was that majority of postnatal mothers who were having 0–6-month age old baby had inadequate knowledge (42.5%), whereas postnatal mothers had moderate knowledge regarding breast milk banking (42.5%) and postnatal mothers had adequate knowledge (15.0%) regarding breast milk banking. Conclusion: In conclusion drawn, implication, limitation, recommendation. The focus of this study was to assess knowledge regarding breast milk banking among postnatal mothers. The findings revealed that knowledge majority of postnatal mothers who were having 0–6-month age old baby had inadequate knowledge (42.5%), whereas postnatal mothers had moderate knowledge regarding breast milk banking (42.5%) and postnatal mothers had adequate knowledge (15.0%) regarding breast milk banking. Keywords
Licence
Creative Commons Attribution 4.0 and The Open Definition
Keywords
Human milk, Human milk bank, Knowledge, Assess, Postnatal mothers.
License
Creative Commons Attribution 4.0 and The Open Definition
Thesis Title: IJSDR - A pre experimental study to asses the effectiveness of Nursing led intervention in terms of knowledge in early detection and prevention of Poly cystic ovarian syndrome
Published Thesis ID: - IJSDRTH01002
Registration ID - 300911
Pages: a86-a172
Year: March-2025
Author Name(s): Nishant paul, Mahima daniel, Sonam Parveen, Mohd. Khalid, Neelam chaudhary
Publisher Name: IJSDR(IJ Publication) Janvi Wave
Abstract
During the last 10 years there has been increase awareness that the clinical expression on polycystic ovarian syndrome may be broader than define by previous consensus workshop. At the year – 2024 American college of obstetricians and gynecologists annual clinical and scientific meeting highlighted significant gap in polycystic ovarian syndrome (PCOS) care, revealing wide spread patients’ dissatisfaction and the urgent need for improve provider education and comprehensive treatment approaches. The purpose of this study is to explore the relation between genetic and environmental factors that may explain PCOS. We will use information collective during visits to our polycystic ovarian syndrome clinic and the family history of PCOS patient to learn about the causes and the effects of PCOS.
Licence
Creative Commons Attribution 4.0 and The Open Definition
Keywords
Syndrome, hypothesis,gynaecologists,obstetricians,comprehensive,PCOS
License
Creative Commons Attribution 4.0 and The Open Definition
