RUDN physicist awarded IOP Publishing trusted reviewer status
Ekaterina has 5 years of hard work: writing high-quality and well-timed reviews of articles in highly ranked scientific journals of IOP Publishing. The result is getting into the top 15% of reviewers in the field of physical sciences without undergoing additional certification. Trusted IOP reviewer status confirms that the reviewer has demonstrated an exceptional level of competence and the ability to critique the scientific literature at a high level.
Without the peer review procedure, it is impossible to verify the accuracy and reliability of the text of a scientific article. The publication of papers that have not passed it often causes specialists to distrust the quality of the research conducted. A reviewer is a person who evaluates a scientific paper according to the established criteria of a scientific journal or publisher. A well-written review takes a lot of effort and time; it is a separate genre of scientific work that is especially valued in the research field.
What makes a good review?
- Very thoroughly and detailed, covering all sections of the work being reviewed.
- Relevant to the topic of the peer-reviewed paper and the broader scientific field.
- Includes a comparative analysis of existing literature.
- Submitted in a timely manner.
- Clearly substantiated and it meets journal editorial standards.
To read more about the criteria for awarding IOP Publishing reviewer status.
General information: IOP Publishing is the publishing company of the Institute of Physics, the result of the merger of the The Physical Society of London (since 1873) and the Institute of Physics (since 1920). IOP Publishing provides publications through which scientific research is distributed worldwide. Headquarters location: Bristol, England.
Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.
Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.