نتایج جستجو برای: iranian forests

تعداد نتایج: 78978  

2015
Saeedeh Yarjou Omid Sadeghpour Esmail Nazem Amir Hossein Emami

BACKGROUND Nutritional deficiency, bleeding, and inflammation are three main causes of anemia. On the other hand, erythropoietin (EPO) production, iron availability, and a healthy bone marrow are essential for erythropoiesis. Recently, recombinant human erythropoietin (rhEPO) has been used to treat the patients already taking iron supplements. In Iranian traditional medicine literature, much ha...

Journal: :Acta virologica 2013
T Keshavarz M Shams-Bakhsh K Izadpanah S M Nassaj

Cucurbit yellow stunting disorder virus (CYSDV) is a destructive virus of cucurbits in Iran. During 2008-2012 growing seasons a total of 366 cucurbit samples including melon, cucumber, snakemelon and squash with typical symptoms of CYSDV infection were collected from ten Provinces in Iran. They were screened by ELISA and the infectivity of ELISA-positive samples was confirmed by RT-PCR. The res...

Journal: :Brain injury 2011
Kourosh Banihashemian Razieh Etesami Pour Mansour Moazzen

PRIMARY OBJECTIVE To compare the scores from the Iranian version of the Frontal Systems Behavioral Scale (FSBS) with the norms collected for the American, English-speaking population and to examine the ability of the FSBS to discriminate between acquired brain injury and addiction. RESEARCH DESIGN Multivariate analysis of variance (MANOVA) and post hoc Bonferroni tests. METHODS AND PROCEDUR...

2013
Uma Lele Alain Karsenty Catherine Benson Judicaël Fétiveau Manmohan Agarwal Sambuddha Goswami

1 This is one of three background papers commissioned by the United Nations Forum for Forests. Background paper 1: Focuses on economic contributions of forests, by Agrawal, Shepherd and Cashore; Background Paper 2: Forests and cross-sectorial linkages, by Lele, Karsenty, Benson, Fétiveau, Agarwal and Goswami; and Background paper 3: The role of forests in a future world, by Agrawal et al. This ...

2017
Shirin Nosratnejad Elham Shami

Shirin Nosratnejad, Elham Shami. Department of Health Services Management, School of Management and Medical Informatics, Iranian Center of Excellence in Health Services Management, Tabriz University of Medical Sciences, Tabriz, Iran. (*Corresponding author); MSc of Health Services Management, Faculty of Management and Medical Informatics, Iranian Center of Excellence for Health Management, Tabr...

Journal: :Archives of Iranian medicine 2010
Touraj Nayernouri

In part one of this article I reviewed the history of Asclepius and the Caduceus of Hermes as medical symbols and made a tentative suggestion of using the mythical bird Simurgh as an Iranian symbol of medicine. In this, the second part, I shall describe the evolution of the myth of the Simurgh and discuss the medical relevance of this bird in Iranian history.

2016
Mohammad Mehdi Feizabadi Giovanni M. Giammanco Reza Ranjbar

Prof. Mohammad Mehdi Feizabadi, Editor, Iranian Journal of Microbiology Prof. Giovanni M. Giammanco (as representative of the colleagues of the Sections of Hygiene and Microbiology at the University of Palermo). Prof. Reza Ranjbar (as representative of graduated Iranian fellows and students who were under supervision of Prof. Caterina Mammina). Professor Caterina Mammina, 1957-2016 Volume 8 Num...

Journal: :caspian journal of environmental sciences 2009
s. mohammadi limaei r. naghdi

information on the productivity, costs and applications of the logging system is a key component in the evaluation of management plans for the rehabilitation and utilization of caspian forests. skidding and road construction costs are expensive forest operations. determining the optimum forest road network density is one of the most important factors in sustainable forest management. logging me...

Journal: :Global journal of health science 2016
Mozhgan Safe Hossein Mahjub Javad Faradmal

BACKGROUND Breast cancer is the main cause of women cancer mortality. Therefore, precise prediction of patients' risk level is the major concern in therapeutic strategies. Although statistical learning algorithms are high quality risk prediction methods, but usually their better prediction quality leads to more loss of interpretability. Therefore, the aim of this study is to compare 'Model-Base...

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