Volume 13 Issue 9, September 2024: Page 10
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Computer Science and Information Technology, United States, Volume 13 Issue 9, September 2024
Pages: 62 - 64The Case for Robo - Advisors in Capital Market Investing for Small Investors
Sandeep Rachapudi
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Computer Science, Indonesia, Volume 13 Issue 9, September 2024
Pages: 65 - 69Trash to Treasure (3T) Transforming Waste into Valuable Resources
Agus Muliantara, Danendra Darmawansyah, Kendrick Raphael Ticoalu, Ni Komang Purnami
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Political Science, China, Volume 13 Issue 9, September 2024
Pages: 70 - 72Dialogue Forums as a Subject of International Economic Relations (Using the Eastern Economic Forum as an Example)
Yi Lu
Downloads: 23 | Views: 977 | Citations: 2
Microbiology, India, Volume 13 Issue 9, September 2024
Pages: 73 - 81Characterization of Endolithic Extremophilic Bacterial Diversity from Sandstone of Keroo, Jodhpur, Rajasthan
Sanwar Mal Yadav, Ronit Parashar, Rohit Gangawat, Priyadarshi Meena, Dev Dutt Patel
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Economics, India, Volume 13 Issue 9, September 2024
Pages: 82 - 92A Correlational Study on Income Inequality and Economic Growth
Lakshya Batta
Downloads: 15 | Views: 796
Medical Surgical, India, Volume 13 Issue 9, September 2024
Pages: 93 - 95Evaluation of Diagnostic and Therapeutic Arthroscopy of the Knee Joints
Dr. Akash Sonawane, Dr. Manal Gore, Dr. Yogesh Shinde
Downloads: 26 | Views: 1181
Physiotherapy, India, Volume 13 Issue 9, September 2024
Pages: 96 - 98Winging of Scapula - Case Report
Dr. Shilpa Chourasia, Dr. Simran Chachada, Dr. Kiran Mendhe
Downloads: 21 | Views: 979
Nursing, India, Volume 13 Issue 9, September 2024
Pages: 99 - 102A Study to Assess the Knowledge and Practice about Radiation Safety among Nursing Personnel working in Radiation Exposure Area in Selected Hospital in Kolkata, WB, India
Runna Das Bhattacharjee
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Computer Engineering, United States, Volume 13 Issue 9, September 2024
Pages: 103 - 106Innovations in Azure Networking: A Case Study
Rhea Khanna
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Computer Science, United States, Volume 13 Issue 9, September 2024
Pages: 107 - 110Comparative Study of Pre-Trained Models for Breast Cancer Classification: Challenges and Future Directions
Cibaca Khandelwal