Javad Chezgi
@University of Birjand
Natural and Environmental Sciences
Assistant Professor
RESEARCH INTERESTS
Watershed management
MCDM
GIS
Scopus Publications
Scopus Publications
Javad Ebrahimi, Hamid Reza Moradi, and Javad Chezgi
Springer Science and Business Media LLC
Mehdi Sepehri, Hossein Malekinezhad, Farshid Jahanbakhshi, Ali Rerza Ildoromi, Javad Chezgi, Omid Ghorbanzadeh, and Elham Naghipour
Springer Science and Business Media LLC
Javad Chezgi, Mehdi Vafakhah, and Samereh Falahatkar
Springer Science and Business Media LLC
Maliheh Alimardani, Seyed Mojtaba Hosseini, Mahmoud Shekari Khaniani, Mohsen Rajati Haghi, Atieh Eslahi, Mashsa Farjami, Javad Chezgi, Sima Mansoori Derakhshan, and Majid Mojarrad
Informa UK Limited
Abstract Background: Hearing loss (HL) is the most prevalent sensory disorder. The over 100 genes implicated in autosomal recessive nonsyndromic hearing loss (ARNSHL) makes it difficult to analyze and determine the accurate genetic causes of hearing loss. We sought to de?ne the frequency of seven hearing loss-Causing causing genetic Variants in four genes in an Iranian population with hearing loss. Materials and methods: One hundred ARNSHL patients with normal GJB2/GJB6 genes were included, and targeted mutations in SLC26A4, MYO6, PJVK and CDH23 genes were analyzed by ARMS-PCR. The negative and positive results were confirmed by the Sanger sequencing. Results: We found only two mutations, one in MYO6 (c.554-1 G > A) gene and another in PJVK (c.547C > T). Conclusion: c.554-1G > A and c.547C > T mutations are responsible for 1% each of the Iranian ARNSHL patients. These genes are not a frequent cause of ARNSHL in an Iranian population.
Javad Chezgi, Hamid Reza Pourghasemi, Seyed Amir Naghibi, Hamid Reza Moradi, and Mirmasoud Kheirkhah Zarkesh
Informa UK Limited
Most part of Iran is arid and semi-arid; thus in most parts of the region, groundwater is the only source of water. This research presents a method based on a spatial multi-criterion evaluation (SMCE) for designing possible sites of underground dams and ranks them according to their suitability. The method was tested for siting underground dams in the Alborz Province, Iran. At first, screening algorithm was applied using exclusionary criteria, and thirty-one potential areas were recognized in the study area. In the next step, a suitable gorge or valley was recognized using the combination of basic maps and extensive field surveys (long axis of tank level) in each potential area. Subsequently, the analytical hierarchy process was used as a powerful tool for decision-making in the SMCE in order to evaluate different criteria for underground dam sites. SMCE techniques were then applied to combine the criteria, and obtain a suitability map in the study area. These sites were then compared and ranked according to their main criteria such as water, storage, axis and socio-economics. All these criteria were assessed through geographical information system modelling. This method shows passable results and could be used for site selection of underground dams in other regions of Iran.
Mohammad Reza Kousari, Mohammad Taghi Dastorani, Yaghoub Niazi, Esmaeel Soheili, Mehdi Hayatzadeh, and Javad Chezgi
Springer Science and Business Media LLC