-
Engineering
-
Life Sciences
-
Health Sciences
-
Physical & Chemical Sciences
-
Social Sciences & Humanities
- Multidisciplinary
- Engineering
- Life Sciences
- Health Sciences
- Physical Sciences
- Chemical Sciences
- Social Sciences & Humanities
Past Issues
- 2025 Past Issues
- 2024 Past Issues
- 2023 Past Issues
- 2022 Past Issues
- 2021 Past Issues
- 2020 Past Issues
- 2019 Past Issues
- 2018 Past Issues
-
Call for Papers Feb-2025
Paper Submission: 25-Feb-2025
Publication: 28-Feb-2025
Volume 7 ---> Issue 12
Volume 7 ---> Issue 11
Volume 7 ---> Issue 10
Volume 7 ---> Issue 9
Volume 7 ---> Issue 8
Volume 7 ---> Issue 7
Volume 7 ---> Issue 6
Volume 7 ---> Issue 5
Volume 7 ---> Issue 4
Volume 7 ---> Issue 3
Volume 7 ---> Issue 2
Volume 7 ---> Issue 1
Volume 6 ---> Issue 9
Volume 6 ---> Issue 8
Volume 6 ---> Issue 7
Volume 6 ---> Issue 4
Volume 6 ---> Issue 3
Volume 3 ---> Issue 12
Volume 2 ---> Issue 3
Volume 7 ---> Issue 11
Volume 7 ---> Issue 10
Volume 7 ---> Issue 9
Volume 7 ---> Issue 8
Volume 7 ---> Issue 7
Volume 7 ---> Issue 6
Volume 7 ---> Issue 5
Volume 7 ---> Issue 4
Volume 7 ---> Issue 3
Volume 7 ---> Issue 2
Volume 7 ---> Issue 1
Volume 6 ---> Issue 9
Volume 6 ---> Issue 8
Volume 6 ---> Issue 7
Volume 6 ---> Issue 4
Volume 6 ---> Issue 3
Volume 3 ---> Issue 12
Volume 2 ---> Issue 3
Volume 6 ---> Issue 12
Volume 6 ---> Issue 11
Volume 6 ---> Issue 10
Volume 6 ---> Issue 9
Volume 6 ---> Issue 8
Volume 6 ---> Issue 7
Volume 6 ---> Issue 6
Volume 6 ---> Issue 5
Volume 6 ---> Issue 4
Volume 6 ---> Issue 3
Volume 6 ---> Issue 2
Volume 6 ---> Issue 1
Volume 5 ---> Issue 6
Volume 5 ---> Issue 5
Volume 5 ---> Issue 1
Volume 4 ---> Issue 10
Volume 4 ---> Issue 3
Volume 4 ---> Issue 1
Volume 3 ---> Issue 12
Volume 3 ---> Issue 10
Volume 3 ---> Issue 8
Volume 3 ---> Issue 6
Volume 2 ---> Issue 7
Volume 2 ---> Issue 4
Volume 1 ---> Issue 5
Volume 1 ---> Issue 4
Volume 1 ---> Issue 3
Volume 6 ---> Issue 11
Volume 6 ---> Issue 10
Volume 6 ---> Issue 9
Volume 6 ---> Issue 8
Volume 6 ---> Issue 7
Volume 6 ---> Issue 6
Volume 6 ---> Issue 5
Volume 6 ---> Issue 4
Volume 6 ---> Issue 3
Volume 6 ---> Issue 2
Volume 6 ---> Issue 1
Volume 5 ---> Issue 6
Volume 5 ---> Issue 5
Volume 5 ---> Issue 1
Volume 4 ---> Issue 10
Volume 4 ---> Issue 3
Volume 4 ---> Issue 1
Volume 3 ---> Issue 12
Volume 3 ---> Issue 10
Volume 3 ---> Issue 8
Volume 3 ---> Issue 6
Volume 2 ---> Issue 7
Volume 2 ---> Issue 4
Volume 1 ---> Issue 5
Volume 1 ---> Issue 4
Volume 1 ---> Issue 3
Volume 5 ---> Issue 12
Volume 5 ---> Issue 10
Volume 5 ---> Issue 9
Volume 5 ---> Issue 8
Volume 5 ---> Issue 7
Volume 5 ---> Issue 6
Volume 5 ---> Issue 5
Volume 5 ---> Issue 4
Volume 5 ---> Issue 3
Volume 5 ---> Issue 2
Volume 5 ---> Issue 1
Volume 3 ---> Issue 11
Volume 3 ---> Issue 9
Volume 3 ---> Issue 3
Volume 2 ---> Issue 12
Volume 2 ---> Issue 4
Volume 1 ---> Issue 10
Volume 1 ---> Issue 8
Volume 1 ---> Issue 5
Volume 2 ---> Issue 1
Volume 5 ---> Issue 10
Volume 5 ---> Issue 9
Volume 5 ---> Issue 8
Volume 5 ---> Issue 7
Volume 5 ---> Issue 6
Volume 5 ---> Issue 5
Volume 5 ---> Issue 4
Volume 5 ---> Issue 3
Volume 5 ---> Issue 2
Volume 5 ---> Issue 1
Volume 3 ---> Issue 11
Volume 3 ---> Issue 9
Volume 3 ---> Issue 3
Volume 2 ---> Issue 12
Volume 2 ---> Issue 4
Volume 1 ---> Issue 10
Volume 1 ---> Issue 8
Volume 1 ---> Issue 5
Volume 2 ---> Issue 1
Volume 4 ---> Issue 12
Volume 4 ---> Issue 11
Volume 4 ---> Issue 10
Volume 4 ---> Issue 9
Volume 4 ---> Issue 8
Volume 4 ---> Issue 7
Volume 4 ---> Issue 6
Volume 4 ---> Issue 5
Volume 4 ---> Issue 4
Volume 4 ---> Issue 3
Volume 4 ---> Issue 2
Volume 4 ---> Issue 1
Volume 3 ---> Issue 10
Volume 3 ---> Issue 6
Volume 2 ---> Issue 5
Volume 2 ---> Issue 3
Volume 2 ---> Issue 2
Volume 1 ---> Issue 10
Volume 1 ---> Issue 4
Volume 2 ---> Issue 1
Volume 4 ---> Issue 11
Volume 4 ---> Issue 10
Volume 4 ---> Issue 9
Volume 4 ---> Issue 8
Volume 4 ---> Issue 7
Volume 4 ---> Issue 6
Volume 4 ---> Issue 5
Volume 4 ---> Issue 4
Volume 4 ---> Issue 3
Volume 4 ---> Issue 2
Volume 4 ---> Issue 1
Volume 3 ---> Issue 10
Volume 3 ---> Issue 6
Volume 2 ---> Issue 5
Volume 2 ---> Issue 3
Volume 2 ---> Issue 2
Volume 1 ---> Issue 10
Volume 1 ---> Issue 4
Volume 2 ---> Issue 1
Volume 3 ---> Issue 12
Volume 3 ---> Issue 11
Volume 3 ---> Issue 10
Volume 3 ---> Issue 9
Volume 3 ---> Issue 8
Volume 3 ---> Issue 7
Volume 3 ---> Issue 6
Volume 3 ---> Issue 5
Volume 3 ---> Issue 4
Volume 3 ---> Issue 2
Volume 3 ---> Issue 1
Volume 2 ---> Issue 11
Volume 2 ---> Issue 2
Volume 1 ---> Issue 10
Volume 1 ---> Issue 9
Volume 1 ---> Issue 3
Volume 3 ---> Issue 11
Volume 3 ---> Issue 10
Volume 3 ---> Issue 9
Volume 3 ---> Issue 8
Volume 3 ---> Issue 7
Volume 3 ---> Issue 6
Volume 3 ---> Issue 5
Volume 3 ---> Issue 4
Volume 3 ---> Issue 2
Volume 3 ---> Issue 1
Volume 2 ---> Issue 11
Volume 2 ---> Issue 2
Volume 1 ---> Issue 10
Volume 1 ---> Issue 9
Volume 1 ---> Issue 3
Volume 2 ---> Issue 12
Volume 2 ---> Issue 11
Volume 2 ---> Issue 10
Volume 2 ---> Issue 9
Volume 2 ---> Issue 6
Volume 2 ---> Issue 5
Volume 2 ---> Issue 4
Volume 2 ---> Issue 3
Volume 2 ---> Issue 2
Volume 2 ---> Issue 8
Volume 2 ---> Issue 1
Volume 2 ---> Issue 11
Volume 2 ---> Issue 10
Volume 2 ---> Issue 9
Volume 2 ---> Issue 6
Volume 2 ---> Issue 5
Volume 2 ---> Issue 4
Volume 2 ---> Issue 3
Volume 2 ---> Issue 2
Volume 2 ---> Issue 8
Volume 2 ---> Issue 1
Call for Papers
Manual Article Submission
Email Us : editor@ijamsr.com
Track Your Article
Special Issue

Past Issues
CSR as a Strategic Tool for Brand Differentiation
Jay Ram Rana Bhat, Dr Kunal Sinha
CrossRef DOI : 10.31426/ijamsr.2024.7.9.7711
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2024.7.9.7711
Download PDF
Google Search
Abstract
From being a philanthropic activity, CSR has grown into a strategic tool that can help companies build a better market position while working toward societal well-being. Today, with increasing demands of consumers for ethics and sustainability, CSR is the way companies could differentiate themselves by aligning with customer values. From environmental sustainability to ethical supply chains, companies make up a brand differentiator that eventually fosters customer loyalty in business. CSR is not only a question of moral responsibility but also one that can be used to create a competitive advantage, assure much greater employee satisfaction, and long-term business sustainability. This paper will explore how CSR can be used to maximize brand reputation, foster customer loyalty, and guarantee competitive advantage.
Role Of Ethics In Business
Samira Shekhawat , Tanishka Anand , Riyanshi Natani, Parv Tulsian, Naman Kapoor
CrossRef DOI : 10.31426/ijamsr.2024.7.9.7712
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2024.7.9.7712
Download PDF
Google Search
Abstract
Ethics play a critical role in shaping diverse aspects of modern business operations in an increasingly complex environment. This paper delves into how ethical standards impact decision-making processes, corporate governance, social responsibility, and interactions with key stakeholders, such as employees, customers, and communities. It discusses the integration of ethical practices in finance, marketing, and supply chain management, stressing the need for transparency and accountability. By aligning ethical conduct with business goals, organizations can build trust, promote long-term sustainability, and reduce potential risks. The study highlights that businesses embracing ethical guidelines not only meet legal standards but also create societal value while remaining competitive. Through case studies and theoretical insights, the paper emphasizes the role of ethical leadership and fostering a corporate culture rooted in moral values to navigate global business challenges.
Mathematical Modelling of Malaria Transmission Dynamics in Rural Regions of Jharkhand and Bihar: An SEIR Model Approach
Puspanjali Kumari
CrossRef DOI : 10.31426/ijamsr.2024.7.9.7713
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2024.7.9.7713
Download PDF
Google Search
Abstract
Malaria remains a significant public health challenge in rural regions of Jharkhand and Bihar, where socio-economic, climatic, and environmental factors contribute to persistent transmission. This study aims to develop a mathematical model to better understand the transmission dynamics of malaria in these rural settings. Using a compartmental model (SEIR), we incorporate key factors such as the vector-host ratio, population immunity, climate variability, and migration patterns. Data collected from field studies and secondary sources will be used to estimate transmission parameters, simulate various intervention strategies, and evaluate their potential to reduce the disease burden. Model simulations demonstrate the influence of environmental factors like temperature and rainfall, as well as the effectiveness of vector control and mass drug administration programs. Sensitivity analysis highlights the critical role of timely interventions in altering transmission dynamics. The findings from this study provide valuable insights for policymakers and public health officials in designing targeted strategies for malaria control in rural India. This paper also emphasizes the importance of incorporating local data and real-time feedback into mathematical models for improving malaria control strategies.
Occupational Stress among Government and Private School Teachers: A Comparative Analysis
Sheeba Afzal , Dr. Syed Tarique Anwar
CrossRef DOI : 10.31426/ijamsr.2024.7.9.7714
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2024.7.9.7714
Download PDF
Google Search
Abstract
The study aimed to explore and assess the level of occupational stress among senior secondary school teachers based on their gender, type of school and locale. The researcher collected the data from a sample of 250 senior secondary school teachers selected through Simple random sampling technique. The tool used for data collection was Teacher's Occupational Stress Scale, which was developed by Sharma and Kaur (2013). The statistical techniques employed to analyse the data were percentage analysis and t-Test. The findings of the study revealed that majority of the senior secondary school teachers experience a moderate level of occupational stress. This moderate stress level was consistent among government and private senior secondary school teachers. However, a significant difference in occupational stress was found between private and government senior secondary school teachers, with private school teachers experiencing significantly more occupational stress. Regarding gender differences, the study found that male teachers experience notably higher level of occupational stress compared to their counterparts. Furthermore, the study indicated that senior secondary school teachers in rural areas have significantly higher levels of occupational stress than school teachers in urban areas. This finding shed light on the impact of the school's locale on the stress experienced by teachers.
Overall, the research highlighted the importance of understanding and addressing occupational stress among senior secondary school teachers, particularly in relation to factors such as school type and locale, to create a conducive and supportive work environment for teachers.
Analysis of Economic Outcomes of Skill Development Programs on Youth in Rural Jharkhand: A Comprehensive Research
Mridul Tirkey, Rachana Kumari
CrossRef DOI : 10.31426/ijamsr.2024.7.9.7715
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2024.7.9.7715
Download PDF
Google Search
Abstract
This study examines the effectiveness of skill development programs in enhancing job satisfaction, financial independence, and career diversification among rural youth in Jharkhand. Through an analysis of correlation matrices, the research identifies key factors influencing program outcomes, such as placement assistance, financial independence, training infrastructure, government-backed initiatives, and career opportunities.
To Study the Role of Machine Learning in Precision Diagnostics and Management of Continual Nephritic Disease
Ms. Preetishree Patnaik, Dr. Anoop Sharma
CrossRef DOI : 10.31426/ijamsr.2024.7.9.7716
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2024.7.9.7716
Download PDF
Google Search
Abstract
Machine learning (ML) has emerged as a transformative tool in the healthcare sector, particularly in the early detection, diagnosis, and management of diseases. The application of ML algorithms to clinical data holds great promise in enhancing the precision and efficiency of medical decision-making. This paper explores the role of machine learning in the estimation and precision analysis of continual nephritic disease, focusing on its potential for accurate prediction, individualized treatment plans, and optimizing healthcare resources. In the context of nephritic disease, the paper examines the various ML techniques, including supervised learning models such as decision trees, support vector machines, and deep learning, which are used to identify patterns and predict disease progression. The potential of ML to analyse complex datasets, including medical histories, lab results, and imaging data, allows for more accurate risk assessment, early detection, and personalized treatment strategies. Additionally, this paper addresses the challenges associated with data quality, class imbalance, and feature engineering, which are critical factors influencing the performance of ML models in medical applications. Ethical considerations such as data privacy, model transparency, and bias are also discussed, along with the future directions of ML in healthcare, such as real-time monitoring, personalized medicine, and interdisciplinary collaboration. The implementation of machine learning in medical diagnostics and disease management has the potential to revolutionize patient care, making it more timely, personalized, and efficient.
Information for Authors
Search Article
