About Mashad University of Medical Sciences

Mashad University of Medical Sciences

Articles by Mashad University of Medical Sciences

The effect of NLP-based approach to teaching surgical procedures to senior OBGYN residents

Published on: 4th January, 2021

OCLC Number/Unique Identifier: 8886000867

Each individual has a unique way of learning which is based on personal background [1]. Neuro Linguistic Programming is an ideology of communicating with an individual. It can be applied in social relations like teaching fields [2]. Each medical student deals with a set of new information in his unique way. For example with regard to the following text on vacuum extraction, one learner focuses on definition, while the other focuses on spelling, and the third one just on shapes [3] (Figures 1-3).
Cite this ArticleCrossMarkPublonsHarvard Library HOLLISGrowKudosResearchGateBase SearchOAI PMHAcademic MicrosoftScilitSemantic ScholarUniversite de ParisUW LibrariesSJSU King LibrarySJSU King LibraryNUS LibraryMcGillDET KGL BIBLiOTEKJCU DiscoveryUniversidad De LimaWorldCatVU on WorldCat

Venomics and antivenomics data: Current and future perspective

Published on: 20th April, 2021

OCLC Number/Unique Identifier: 9026725848

Venom has a very complex and exclusive nature which has been introduced by recent advances in omics technologists. These methods have revealed a new insight into venom studies as venomics. Envenoming by venomous animals is a global concern due to the distribution of important medical species around the world. Treatment of envenomed victims is dependent on accurate and fast identification of animal species with different detection methods. In recent years, new methods have been introduced based on molecular and immunological techniques. Precise diagnosis of species of venomous animals is an essential factor for treatment with specific antivenoms. Venomics and antivenomics data sets help in the selection of specific antivenoms or production of novel antivenoms with greater efficacies.
Cite this ArticleCrossMarkPublonsHarvard Library HOLLISGrowKudosResearchGateBase SearchOAI PMHAcademic MicrosoftScilitSemantic ScholarUniversite de ParisUW LibrariesSJSU King LibrarySJSU King LibraryNUS LibraryMcGillDET KGL BIBLiOTEKJCU DiscoveryUniversidad De LimaWorldCatVU on WorldCat

Prediction of neonatal and maternal index based on development and population indicators: a global ecological study

Published on: 7th December, 2021

OCLC Number/Unique Identifier: 9359437629

Introduction: Although worldwide maternal and neonatal mortalities have decreased, but Achieving sustainable development goals remains an unfinished agenda and global challenge. This study aimed to predict neonatal and maternal index based on development and demographic indicators.Methods: In this ecologic study, the dependent variables were Maternal mortality ratio (MMR), Neonatal mortality rate (NMR), and Under 5 Mortality Rate (U5MR) and the independent variables were Gender gap index (GGI) and its four components, human development, life expectancy, total fertility rate, and population growth. Data conducted using international secondary data published data bases of health metrics from 2016 to 2018 in 149 countries from WHO (World Health Organization), World Economic Forum, UNICEF (United Nations Children's Fund), and UNDP (United Nations Development Programme). Data analysis was performed using correlation model in Stata version 14.1 software.Results: In this study, economic participation and total fertility rate are positively and educational attainment, Human Capital Index and life expectancy are negatively associated with MMR. Human Capital Index, Educational attainment, and Life expectancy are negatively associated with NMR. Economic participation and total fertility rate are positively and educational attainment, Human Capital Index and life expectancy are negatively associated with U5MR. Discussion: To reduce the maternal and neonatal mortality rate, it is important to pay attention to indirect causes such as equal conditions for men and women to demographic and population indices such as economic participation, educational attainment, Human Capital Index and life expectancy.
Cite this ArticleCrossMarkPublonsHarvard Library HOLLISGrowKudosResearchGateBase SearchOAI PMHAcademic MicrosoftScilitSemantic ScholarUniversite de ParisUW LibrariesSJSU King LibrarySJSU King LibraryNUS LibraryMcGillDET KGL BIBLiOTEKJCU DiscoveryUniversidad De LimaWorldCatVU on WorldCat
Help ?