Guidelines for Writing an Article
Research Article: Systematic Format
Authors must prepare their manuscripts in the following
sequence:
- Article Title: (Clear and concise, matching the subject)
- Author Name:
- Designation & Department:
- College/Institution/University
Name:
- Abstract: Within a maximum of 100 words.
- Keywords: Compulsory 5 words.
- Introduction: An overview of the subject.
- Main Article: Detailed description of the research.
- Conclusion: The result or summary of the research.
- References: List of sources used in the article.
Important Terms and Conditions
The following technical standards must be strictly followed
for the article to be accepted:
1. Font and File Format
- Any language, any size, any font.
- File Type: Articles will only be accepted in MS Word
(.doc/.docx) format.
2. Word Limit & Scope
- General Article: Maximum 2500 words. If the limit is exceeded,
fees for two articles will apply.
- Articles with Tables/Graphs: If the article includes tables or graphs, the
accompanying text must be within 2000 words; otherwise, fees for a
second article will apply.
3. Writing Style (Mandatory)
- Paragraph Style: The entire article must be written in Paragraph
Style only.
4. Rules for Graphs and Tables
- All tables and graphs must be
sent in JPG format only.
Research Article: Systematic Format
Authors must prepare their manuscripts in the following
sequence:
- Article Title: (Clear and concise, matching the subject)
- Author Name:
- Designation & Department:
- College/Institution/University
Name:
- Abstract: Within a maximum of 100 words.
- Keywords: Compulsory 5 words.
- Introduction: An overview of the subject.
- Main Article: Detailed description of the research.
- Conclusion: The result or summary of the research.
- References: List of sources used in the article.
Important Terms and Conditions
The following technical standards must be strictly followed
for the article to be accepted:
1. Font and File Format
- Any language, any size, any font.
- File Type: Articles will only be accepted in MS Word
(.doc/.docx) format.
2. Word Limit & Scope
- General Article: Maximum 2500 words. If the limit is exceeded,
fees for two articles will apply.
- Articles with Tables/Graphs: If the article includes tables or graphs, the
accompanying text must be within 2000 words; otherwise, fees for a
second article will apply.
3. Writing Style (Mandatory)
- Paragraph Style: The entire article must be written in Paragraph
Style only.
4. Rules for Graphs and Tables
- All tables and graphs must be
sent in JPG format only.
5. Important Considerations for Article Writing
Avoid plagiarism and maintain originality.
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Avoid plagiarism and maintain originality.
2.Sample
Research Article in English
(Article Title) The Role of Artificial Intelligence in Modern Healthcare
(Author Name) Dr. Jennifer Smith
(Designation, Department) Associate Professor, Dept. of Science
(Name of College/University) Mumbai University, Maharashtra
Abstract: This research paper explores the transformative impact of
Artificial Intelligence (AI) on the modern healthcare sector. It examines how
machine learning algorithms and data analytics are improving diagnostic
accuracy and patient outcomes. The study highlights the integration of AI in
robotic surgeries and personalized medicine. Furthermore, it addresses the
ethical considerations and data privacy concerns associated with the
implementation of advanced technologies in clinical settings.
Keywords: Intelligence, Healthcare, Technology, Diagnostics,
Innovation.
Introduction: The landscape of global healthcare is undergoing a paradigm
shift driven by technological advancements. Among these, Artificial
Intelligence stands out as a revolutionary force that mimics human intelligence
to solve complex medical problems. From predicting disease outbreaks to
automating administrative tasks, AI is reshaping how medical professionals
interact with data. This introduction sets the stage for understanding the
necessity of integrating AI into routine medical practices to enhance
efficiency and reduce human error.
Main Article: The implementation of AI in diagnostics has shown
remarkable results in identifying life-threatening conditions such as cancer
and heart diseases at early stages. Deep learning models can analyze medical
images with a precision that often surpasses traditional methods. In the realm
of personalized medicine, AI helps in tailoring treatments based on an
individual’s genetic makeup and lifestyle. Moreover, robotic-assisted surgeries
have become more precise, leading to shorter recovery times for patients.
Despite these benefits, the transition to AI-driven healthcare is not without
obstacles. High initial costs and the requirement for specialized training for
medical staff pose significant challenges. Additionally, the reliance on large
datasets raises concerns about patient confidentiality and data security. There
is also a persistent fear of AI replacing human judgment in critical
life-and-death decisions. To address these issues, a balanced approach is
needed where AI acts as a collaborative tool rather than a replacement for
human expertise. Regulatory frameworks must be strengthened to ensure that AI
applications in healthcare are safe, transparent, and ethically sound.
Conclusion: In conclusion, Artificial Intelligence holds immense
potential to revolutionize healthcare by making it more proactive and
personalized. While challenges regarding ethics and privacy remain, the
benefits of improved diagnostics and efficient patient care are undeniable.
Future research should focus on creating more inclusive AI models that can
cater to diverse global populations while maintaining high ethical standards.
References:
- Russell, S. and Norvig, P. (2021). Artificial
Intelligence: A Modern Approach. Pearson Education.
- Smith, K. (2022). Technology in Medicine. Health Press,
London.
2.Sample Research Article in English
(Article Title) The Role of Artificial Intelligence in Modern Healthcare
(Author Name) Dr. Jennifer Smith
(Designation, Department) Associate Professor, Dept. of Science
(Name of College/University) Mumbai University, Maharashtra
Abstract: This research paper explores the transformative impact of
Artificial Intelligence (AI) on the modern healthcare sector. It examines how
machine learning algorithms and data analytics are improving diagnostic
accuracy and patient outcomes. The study highlights the integration of AI in
robotic surgeries and personalized medicine. Furthermore, it addresses the
ethical considerations and data privacy concerns associated with the
implementation of advanced technologies in clinical settings.
Keywords: Intelligence, Healthcare, Technology, Diagnostics,
Innovation.
Introduction: The landscape of global healthcare is undergoing a paradigm
shift driven by technological advancements. Among these, Artificial
Intelligence stands out as a revolutionary force that mimics human intelligence
to solve complex medical problems. From predicting disease outbreaks to
automating administrative tasks, AI is reshaping how medical professionals
interact with data. This introduction sets the stage for understanding the
necessity of integrating AI into routine medical practices to enhance
efficiency and reduce human error.
Main Article: The implementation of AI in diagnostics has shown
remarkable results in identifying life-threatening conditions such as cancer
and heart diseases at early stages. Deep learning models can analyze medical
images with a precision that often surpasses traditional methods. In the realm
of personalized medicine, AI helps in tailoring treatments based on an
individual’s genetic makeup and lifestyle. Moreover, robotic-assisted surgeries
have become more precise, leading to shorter recovery times for patients.
Despite these benefits, the transition to AI-driven healthcare is not without
obstacles. High initial costs and the requirement for specialized training for
medical staff pose significant challenges. Additionally, the reliance on large
datasets raises concerns about patient confidentiality and data security. There
is also a persistent fear of AI replacing human judgment in critical
life-and-death decisions. To address these issues, a balanced approach is
needed where AI acts as a collaborative tool rather than a replacement for
human expertise. Regulatory frameworks must be strengthened to ensure that AI
applications in healthcare are safe, transparent, and ethically sound.
Conclusion: In conclusion, Artificial Intelligence holds immense
potential to revolutionize healthcare by making it more proactive and
personalized. While challenges regarding ethics and privacy remain, the
benefits of improved diagnostics and efficient patient care are undeniable.
Future research should focus on creating more inclusive AI models that can
cater to diverse global populations while maintaining high ethical standards.
References:
- Russell, S. and Norvig, P. (2021). Artificial
Intelligence: A Modern Approach. Pearson Education.
- Smith, K. (2022). Technology in Medicine. Health Press,
London.