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.
About
Physiology is the branch of biology that explores the normal functions and processes of living organisms, from the cellular level to the entire organism. It delves into how different systems work harmoniously to maintain homeostasis, adapt to changes, and sustain life. In the medical context, physiological understanding forms the foundation for diagnosing disorders and developing effective treatments that target the intricate workings of the human body.
The study of physiology encompasses a wide range of topics, including cardiovascular physiology, respiratory physiology, endocrine physiology, neurophysiology, and more. Researchers in this field investigate how different organs, tissues, and cells collaborate to carry out essential functions, such as metabolism, circulation, and nerve signaling. This knowledge is indispensable for unraveling the complexities of diseases and optimizing interventions for improved health outcomes.
General Science Group (1)
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- On how Doping with Atoms of Gadolinium and Scandium affects the Surface Structure of Silicon
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
- The Role of Supplementation in Enhancing Recovery and Endurance among Fitness Trainers
- From Traditionalism to Algorithms: Embracing Artificial Intelligence for Effective University Teaching and Learning
- 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
- Kinetic Study of the Removal of Reafix Yellow B8G Dye by Boiler Ash
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