Giuseppe Iurato 編集者 at IgMin Research
Our focus is on creating synergies between different scientific disciplines for faster knowledge gains.
バイオグラフィー
Giuseppe Iurato, born in Ragusa (RG), Italy, the 1th of October 1972.
High School Diploma in Industrial and Experimental Chemistry with mark 50/60, achieved at the
‘‘Ettore Majorana’’ State Industrial Technical Institute of Ragusa (IT) in 1991.
B.A. (undergraduate) cum laude in Mathematics achieved at the Department of Mathematics ‘‘Leonida
Tonelli’’ of the State University of Pisa (IT) in 2002.
M.A. (graduate) cum laude in Mathematics achieved at the Department of Mathematics and Computer
Science of the State University of Catania (IT) in 2011.
Ph.D. (international doctorate) in Applied Physics (curriculum in History and Didactics of Mathematics,
Physics and Chemistry), achieved at the Department of Physics and Chemistry of the State University of
Palermo (IT) in 2015.
研究の興味
Applied Mathematics, Physics, STEM
Editor
仕事内容
Professor
Ministry of Education, University and Research
Department of Mathematics and Physics
Italy
0000-0003-2628-100X トピック分野別の貢献
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
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研究論文
- Ammonia: A Trend of Dry Deposition in Vietnam
- Synergistic Assessment of Supplementation of Ascorbic Acid and Massularia acuminata Extracts on Serum Electrolyte and Lipid Profile Indices of Dyslipidemia in Adult Wistar Rats Exposed to Aluminum Chloride Toxicity
- Modeling of Cr3+ doped Cassiterite (SnO2) Single Crystals
- Semiclassical Potential Function of B–B Interaction: Reduction to Integrable Form
- Methodology of the Professional-Business Game for the Development of a Cadet Leader in Professional Training Courses (L-1B) of the Tactical Level of Military Education
- A Machine Learning-based Method for COVID-19 and Pneumonia Detection
