Kelvin Open Science Publishers is a pioneering initiative in the realm of academic publishing, focused on fostering an open, transparent, and accessible approach to scientific knowledge dissemination. As the academic world increasingly shifts toward open access models, Kelvin Open Science Publishers stands out for its commitment to making research findings freely available to a global audience, while supporting authors in sharing their work without the traditional barriers of high subscription fees or paywalls.
Research Article | Volume: 1, Issue: 2 Published Date: July 30, 2025 Authors: Rasha El Rifaii* Abstract: Background: Sexual and Reproductive health (SRH) promotion has been identified by the World Health Organization as one of the main working areas for healthier lives globally. SRH cannot be achieved without maintaining certain sexual rights including the right for family planning, highest attainable standards of healthcare and social security, and the right to be informed and educated about one?s sexual health. Access to contraceptive methods and education on this regard are key factors for promoting individuals? autonomy and welfare as well as the welfare of the community and for demoting unwanted pregnancy and maternal and child mortality. Lebanon has been debilitated by a compound of devastating financial and economic crisis that affected all aspects of life including health care and hence access to contraceptive methods. |
Research Article | Volume: 1, Issue: 2 Published Date: July 10, 2025 Deep CNN models for Accurate Recognition of DR and Glaucoma from Fundus Retinal Images Authors: Dr. BalKrishna Sharma* Abstract: Globally, diabetic retinopathy (DR) and glaucoma (GL) are major contributors to permanent vision loss hence, it is crucial to detect these conditions early and accurately in order to inhibit their progression. It is possible to misclassify fundus photos taken with varying field of view and resolution settings because key characteristics are lost. Specifically, this research suggests a multi-scale assisted DL model for precise DR and GL categorization. This research demonstrates automated diabetic retinopathy identification using a proprietary Convolutional Neural Network (CNN) model trained on the publicly accessible Messidor dataset. |
Research Article | Volume: 1, Issue: 1 Published Date: December 20, 2024 Networking Challenges in IoT to Deployment of TCP/IP to 6LoWPAN for Next Gen Network System Authors: Vaidehi Shah* Abstract: The ideas that revolve around the Internet of Things (IoT), include e-health care, self-driving automobiles, smart surroundings, augmented reality, and high-resolution video streaming, are now widely used. These applications demand more capacity, low latency, high throughput, wide bandwidth, and larger data rates. The Internet of Things (IoT) is revolutionizing the digital landscape by tying together a huge number of intelligent devices from industries including industrial automation, smart cities, healthcare, and agriculture. These systems require high efficiency, low latency, and minimal energy usage to operate effectively. |
Case Report | Volume: 1, Issue: 1 Published Date: July 26, 2025 A Rare Case of Primary Sclerosing Cholangitis in a 20-Year-Old Man Authors: Dr. Guru Yogendra M* and Dr. Anil Kumar Sakalecha Abstract: Primary Sclerosing Cholangitis is a rare, long-lasting cholestatic liver disease characterised by advanced inflammation and fibrosis of the intrahepatic and extrahepatic bile ducts. It is infrequent in young adults, making the primary diagnosis and management serious to prevent difficulties. A 20-year-old male presented with icterus, pruritus, fever, and yellowish discoloration of urine. Laboratory investigations exposed deranged liver function tests, including elevated bilirubin and cholestatic enzymes. The patient underwent Magnetic Resonance Cholangiopancreatography, which established characteristic features of PSC such as intrahepatic bile duct beading, multifocal strictures, periductal fibrosis, caudate lobe hypertrophy, and bile duct wall thickening. |
Research Article | Volume: 1, Issue: 2 Published Date: July 25, 2025 Neural Scalpel: Generative AI and Surgical Robotics for Next-Generation Neuro-Oncology Authors: Santosh Kumar* Abstract: The intersection of Generative Artificial Intelligence (Gen AI) and autonomous surgical robotics is poised to redefine the landscape of neuro-oncology. This paper introduces the "Neural Scalpel" framework?an intelligent surgical paradigm where transformer-based Gen AI models guide robotic agents to perform patient-specific brain tumor resections with sub-millimeter precision. From AI-driven tumor mapping and federated learning pipelines to intraoperative neural guidance systems, we explore the technologies enabling this new frontier. Ethical, technical, and educational implications are discussed, highlighting the need for transparent, explainable, and accessible AI-robotic integration in brain cancer care. |
Research Article | Volume: 1, Issue: 2 Published Date: July 24, 2025 Authors: Pavan Kumar Devarashetty* Abstract: Digital transformation has become imperative for businesses aiming to remain competitive in a rapidly evolving technological landscape. Intelligent enterprise resource planning (ERP) systems, particularly SAP S/4HANA integrated with artificial intelligence (AI), have emerged as pivotal tools enabling transformative efficiencies and innovation within supply chain operations. This paper explores SAP S/4HANA's capabilities as an intelligent ERP, emphasizing its AI-driven functionalities such as predictive analytics, robotic process automation, and real-time decision-making. Through detailed analysis and real-world case studies, the research highlights the significant impact of integrating intelligent ERP on supply chain management, demonstrating measurable improvements in efficiency, responsiveness, and strategic decision-making. |
Mini Review Volume 1 | Volume: 1, Issue: 2 Published Date: July 24, 2025 Authors: Dr. Anand Dixit*, Raja Ram Pandey, Poushali Adhilari and Anirban Mondal Abstract: India's mental health infrastructure faces significant challenges, exacerbated by limited budget allocations and underutilization of existing funds. The FY 2025-26 Union Budget continues the trend of allocating less than 1% of the total health budget to mental health, with a disproportionate focus on tertiary institutions. This review examines the implications of such budgetary decisions on the functionality of Ayushman Arogya Mandirs (AAMs) under the Ayushman Bharat initiative, highlighting the resultant service delivery gaps. |
Research Article | Volume: 1, Issue: 2 Published Date: July 23, 2025 Federated Reinforcement Learning for Edge AI Decision-Making in 6G-Enabled V2X Systems Authors: Ronak Indrasinh Kosamia Abstract: The evolution toward sixth‑generation (6G) networks introduces transformative capabilities in intelligent transportation, particularly through ultra‑reliable, low‑latency vehicle‑to‑everything (V2X) communication. As autonomous and connected vehicles generate vast amounts of data at the edge, conventional centralized learning approaches are increasingly constrained by privacy, bandwidth, and latency limitations. In this paper, we present a federated reinforcement learning (FRL) framework that enables distributed edge agents-such as vehicles and roadside units-to collaboratively learn real‑time decision policies for navigation, collision avoidance, and traffic optimization, without sharing raw data. |
Research Article | Volume: 1, Issue: 2 Published Date: July 23, 2025 Authors: Dr. Ryosuke NAKAJIMA Abstract: This study examines a growing concern in B2B sales, which it refers to as the Generative AI Sales Paradox (GASP). Generative AI tools help sales teams move faster and reach more clients. Still, they can unintentionally weaken the kind of personal relationships that matter most in high-value, trust-based transactions. This research focuses on industries such as manufacturing, professional services, and enterprise technology, where long-term client trust is essential. |
Brief Commentaries | Volume: 1, Issue: 2 Published Date: July 11, 2025 Beyond the Surface: How Regenerative Aesthetic Treatments Empower Men Physically and Emotionally Authors: Dr. Sara Alshaikh Abstract: In a world where men are increasingly seeking ways to look better, feel stronger, and age gracefully, regenerative aesthetics is no longer just a luxury-it's a smart investment in long-term well-being. As a specialist in cosmetic dermatology, I've witnessed firsthand how subtle yet powerful treatments can boost not only appearance but confidence, energy, and even mental clarity. |
Prof. Vincenzo Maria Romeo
Clinical and Dynamic Researcher
University of Palermo
Palermo, Italy
Dr. Agni Kakouri
Department of Surgery and Ophthalmology
The University of Texas Health Science Center
Houston, Texas, United States
Dr. James Hutson
Lead XR Disruptor and Department Head of Art History
AI, and Visual Culture
Lindenwood University, USA
Dr. Tejesh Reddy Singasani
Doctor of Philosophy Information Technology
School of Computer and Information Sciences
University of Cumberlands, USA
Dr. Dipan Adhikari
Associate Professor of Botany
Department of Botany
Maulana Azad College
kolkata, India