Open Access Policy refers to a set of principles and guidelines aimed at providing unrestricted access to scholarly research and literature. It promotes the free availability and unrestricted use of research outputs, enabling researchers, students, and the general public to access, read, download, and distribute scholarly articles without financial or legal barriers. In this response, I will provide you with an overview of the history and latest resolutions related to Open Access Policy.
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Veterinary science is a multidisciplinary field dedicated to the health and well-being of animals, as well as the intersection between animal health, public health, and environmental concerns. IgMin Research - STEM acknowledges the vital role of veterinary science in safeguarding animal populations, promoting food safety, and addressing zoonotic diseases. Our journal's Veterinary Science section aims to be a platform for researchers, veterinarians, and experts to share advancements and insights that contribute to animal health and the overall harmony of ecosystems.
Within this section, we explore a wide range of topics, including veterinary medicine, animal disease management, veterinary diagnostics, wildlife health, and One Health approaches that acknowledge the interconnectedness of human, animal, and environmental health. Our mission is to facilitate the dissemination of knowledge that fosters the well-being of animals, humans, and the environment.
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Research Articles
- Biomimetic Synthesis of Calcium Carbonate in Bile in the presence of Amino Acids
- Technical & Economic Feasibility Study of Proposed Pump Storage Power Plants at Kuda Oya, Mul Oya, Gurugal Oya, and Dambagasthalawa
- EB Naevi-like Lesion in Infant Bullous Pemphigoid
- The Influence of Dynamical Downscaling and Boundary Layer Selection on Egypt’s Potential Evapotranspiration using a Calibrated Version of the Hargreaves-samani Equation: RegCM4 Approach
- Efficacy of Different Concentrations of Insect Growth Regulators (IGRs) on Maize Stem Borer Infestation
- A Machine Learning-based Method for COVID-19 and Pneumonia Detection
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