Evaluation of Human Resource Development in the Experts of Learning's Disorders in Tehran Province's Towns
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The Combined Use of Long-Term Multi-Sensor Insar Analysis and Finite Element Simulation to Predict Land Subsidence
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W18, 2019 GeoSpatial Conference 2019 – Joint Conferences of SMPR and GI Research, 12–14 October 2019, Karaj, Iran THE COMBINED USE OF LONG-TERM MULTI-SENSOR INSAR ANALYSIS AND FINITE ELEMENT SIMULATION TO PREDICT LAND SUBSIDENCE M. Gharehdaghi 1,*, A. Fakher 2, A. Cheshomi 3 1 MSc. Student, School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran – [email protected] 2 Civil Engineering Department, University of Tehran, Tehran, Iran – [email protected] 3 Department of Engineering Geology, School of Geology, College of Science, University of Tehran, Tehran, Iran - [email protected] KEY WORDS: Land Subsidence, Ground water depletion, InSAR data, Numerical Simulation, Finite Element Method, Plaxis 2D, Tehran ABSTRACT: Land subsidence in Tehran Plain, Iran, for the period of 2003-2017 was measured using an InSAR time series investigation of surface displacements. In the presented study, land subsidence in the southwest of Tehran is characterized using InSAR data and numerical modelling, and the trend is predicted through future years. Over extraction of groundwater is the most common reason for the land subsidence which may cause devastating consequences for structures and infrastructures such as demolition of agricultural lands, damage from a differential settlement, flooding, or ground fractures. The environmental and economic impacts of land subsidence emphasize the importance of modelling and prediction of the trend of it in order to conduct crisis management plans to prevent its deleterious effects. In this study, land subsidence caused by the withdrawal of groundwater is modelled using finite element method software Plaxis 2D. -
Molecular Identification of Toxoplasma Gondii in the Native Slaughtered Cattle of Tehran Province, Iran A
Journal of Food Quality and Hazards Control 6 (2019) 153-161 Molecular Identification of Toxoplasma gondii in the Native Slaughtered Cattle of Tehran Province, Iran A. Dalir Ghaffari 1,2, A. Dalimi 1* 1. Department of Parasitology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran 2. Student Research Committee, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran HIGHLIGHTS Genotype III was the most prevalent genotype of Toxoplasma gondii in slaughtered cattle of Tehran, Iran. The infection rate in heart muscle samples (16.66%) was significantly higher than the diaphragm samples (4.44%). The frequency of T. gondii in cattle muscles was high in this area. Article type ABSTRACT Original article Background: Toxoplasmosis, caused by Toxoplasma gondii, is a common parasitic Keywords disease, affecting almost one-third of the world’s population. It is transmitted by Toxoplasma ingestion of food or water contaminated with oocysts excreted by cats and the Polymerase Chain Reaction Meat consumption of raw or undercooked meat from ruminants. This study aimed at molecular Cattle characterization of T. gondii in native cattle from West of Tehran, Iran. Iran Methods: A total of 180 samples were collected from the cattle diaphragms (n=80) and heart muscles (n=100) from multiple slaughterhouses. The nested Polymerase Chain Article history Received: 14 Aug 2019 Reaction (PCR) assay was carried out to amplify the GRA6 gene of T. gondii. The Revised: 10 Oct 2019 PCR-Restriction Fragment Length Polymerase (PCR-RFLP) assay was also performed on Accepted: 27 Oct 2019 positive samples, using Tru1I (MseI) restriction enzyme. Data were statistically analyzed using SPSS (v.15.0). -
A Community- Based Cross-Sectional Study
Deghatipour et al. BMC Oral Health (2019) 19:117 https://doi.org/10.1186/s12903-019-0801-x RESEARCHARTICLE Open Access Oral health status in relation to socioeconomic and behavioral factors among pregnant women: a community- based cross-sectional study Marzie Deghatipour1 , Zahra Ghorbani2* , Shahla Ghanbari3, Shahnam Arshi4, Farnaz Ehdayivand5, Mahshid Namdari6 and Mina Pakkhesal7 Abstract Background: Oral health of women during pregnancy is an important issue. Not only it can compromise pregnancy outcomes, but also it may affect their newborn’s overall health. The aim of this study was to assess the oral health status and associated factors in pregnant women. Methods: A cross-sectional study was conducted amongst 407 pregnant women in the second and third trimester of pregnancy in Varamin, Iran. Oral health status was examined, and demographic, socioeconomic status and dental care behavior data were collected. Oral health indices included periodontal pocket, bleeding on probing (BOP) and decayed, missed, filled teeth (DMFT). Regression analysis of DMFT was used to study the association between demographic, dental care behaviors indicators and outcome variables using the count ratios (CR) and 95% confidence intervals (CI). Results: The mean (SD, Standard Deviation) age of participants was 27.35 (5.57). Daily brushing, flossing habit were observed in 64.1, and 20.6% of mothers, respectively. Mean (SD) of DMFT, D, M, F were 10.34(5.10), 6.94(4.40), 2.22 (2.68) and 1.19(2.23), respectively. Women older than 35 years had significantly more DMFT [CR = 1.35 (95% CI 1.13; 1.60)], less D [CR = 0.75 (95% CI 0.59; 0.94)], and more M [CR = 3.63 (95% CI 2.57; 5.14)] compared to women under 25 years after controlling for education and dental care behaviors. -
Scrutinize of Healthy School Canteen Policy in Iran's Primary Schools: a Mixed Method Study
Babashahi et al. BMC Public Health (2021) 21:1566 https://doi.org/10.1186/s12889-021-11587-x RESEARCH ARTICLE Open Access Scrutinize of healthy school canteen policy in Iran’s primary schools: a mixed method study Mina Babashahi1 , Nasrin Omidvar1* , Hassan Joulaei2 , Azizollaah Zargaraan3 , Farid Zayeri4 , Elnaz Veisi1 , Azam Doustmohammadian5 and Roya Kelishadi6 Abstract Background: Schools provide an opportunity for developing strategies to create healthy food environments for children. The present study aimed to analyze the Healthy School Canteen (HSC) policy and identify challenges of its implementation to improve the school food environment in Iran. Methods: This mixed method study included two qualitative and quantitative phases. In the qualitative phase, triangulation approach was applied by using semi-structured interviews with key informants, documents review and direct observation. Data content analysis was conducted through policy analysis triangle framework. In the quantitative phase, food items available in 64 canteens of primary schools of Tehran province were gathered. The food’s nutrient data were evaluated using their nutrition facts label. The number and proportion of foods that met the criteria based on Iran’s HSC guideline and the World Health Organization nutrient profile model for the Eastern Mediterranean Region (WHO-EMR) were determined. Results: The main contextual factors that affected adoption of HSC policy included health (nutritional transition, high prevalence of non-communicable diseases and unhealthy food -
List of Cities in Iran
S.No. Name of City 1 Abadan 2 Abadeh 3 Abyek 4 Abhar 5 Abyaneh 6 Ahar 7 Ahvaz 8 Alavicheh 9 Aligoodarz 10 Alvand 11 Amlash 12 Amol 13 Andimeshk 14 Andisheh 15 Arak 16 Ardabil 17 Ardakan 18 Asalem 19 Asalouyeh 20 Ashkezar 21 Ashlagh 22 Ashtiyan 23 Astaneh Arak 24 Astaneh-e Ashrafiyyeh 25 Astara 26 Babol 27 Babolsar 28 Baharestan 29 Balov 30 Bardaskan 31 Bam 32 Bampur 33 Bandar Abbas 34 Bandar Anzali 35 Bandar Charak 36 Bandar Imam 37 Bandar Lengeh 38 Bandar Torkman 39 Baneh 40 Bastak 41 Behbahan 42 Behshahr 43 Bijar 44 Birjand 45 Bistam 46 Bojnourd www.downloadexcelfiles.com 47 Bonab 48 Borazjan 49 Borujerd 50 Bukan 51 Bushehr 52 Damghan 53 Darab 54 Dargaz 55 Daryan 56 Darreh Shahr 57 Deylam 58 Deyr 59 Dezful 60 Dezghan 61 Dibaj 62 Doroud 63 Eghlid 64 Esfarayen 65 Eslamabad 66 Eslamabad-e Gharb 67 Eslamshahr 68 Evaz 69 Farahan 70 Fasa 71 Ferdows 72 Feshak 73 Feshk 74 Firouzabad 75 Fouman 76 Fasham, Tehran 77 Gachsaran 78 Garmeh-Jajarm 79 Gavrik 80 Ghale Ganj 81 Gerash 82 Genaveh 83 Ghaemshahr 84 Golbahar 85 Golpayegan 86 Gonabad 87 Gonbad-e Kavous 88 Gorgan 89 Hamadan 90 Hashtgerd 91 Hashtpar 92 Hashtrud 93 Heris www.downloadexcelfiles.com 94 Hidaj 95 Haji Abad 96 Ij 97 Ilam 98 Iranshahr 99 Isfahan 100 Islamshahr 101 Izadkhast 102 Izeh 103 Jajarm 104 Jask 105 Jahrom 106 Jaleq 107 Javanrud 108 Jiroft 109 Jolfa 110 Kahnuj 111 Kamyaran 112 Kangan 113 Kangavar 114 Karaj 115 Kashan 116 Kashmar 117 Kazeroun 118 Kerman 119 Kermanshah 120 Khalkhal 121 Khalkhal 122 Khomein 123 Khomeynishahr 124 Khonj 125 Khormuj 126 Khorramabad 127 Khorramshahr -
And Second- Generation of Afghan Immigrants Residing in Iran: a Case Study of Southeast of Tehran
35 Journal of Geography and Spatial Justice .Year 1th - Vol.1 – No 1, Winter2018, pp: 35-44 University of Mohaghegh Ardabili Journal of Geography and Spatial Justice Received:2018/01/05 accepted:2018/03/05 A comparative study of the quality of urban life between the first- and second- generation of Afghan immigrants residing in Iran: A case study of southeast of Tehran Saeed Zanganeh Shahraki *1, Hossein HatamiNejad 2, Yaghob Abdali 3, Vahid Abbasi Fallah 4 1 Assistant Professor, Department of Geography and Urban Planning, University of Tehran, Tehran, Iran. 2 Associate Professor, Department of Geography and Urban Planning, University of Tehran, Tehran, Iran. 3 Ph.D. Student, Department of Geography and Urban Planning, University of Tehran, Tehran, Iran. 4 Ph.D. Student, Department of Geography and Urban Planning, University of Tehran, Tehran, Iran * Corresponding Author, Email: [email protected] A B S T R A C T Islamic Republic of Iran hosts the largest refugee populations in the world. According to the statistics officially announced in 2007, there are 1,025,000 refugees in Iran, among whom 940,400 refugees are Afghan and 54,400 refugees are Iraqi. After a period of settling and living in the host community, changes begin to occur in the immigrants' quality of life over time and the lives of the second generation of immigrants undergo greater changes than those of the first generation. The present study aims to explore the differences between the two groups of first- and second- generation of Afghan refugees living in Iran in terms of their quality of life in general and their job quality in particular. -
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IN THE NAME OF GOD IRAN NAMA RAILWAY TOURISM GUIDE OF IRAN List of Content Preamble ....................................................................... 6 History ............................................................................. 7 Tehran Station ................................................................ 8 Tehran - Mashhad Route .............................................. 12 IRAN NRAILWAYAMA TOURISM GUIDE OF IRAN Tehran - Jolfa Route ..................................................... 32 Collection and Edition: Public Relations (RAI) Tourism Content Collection: Abdollah Abbaszadeh Design and Graphics: Reza Hozzar Moghaddam Photos: Siamak Iman Pour, Benyamin Tehran - Bandarabbas Route 48 Khodadadi, Hatef Homaei, Saeed Mahmoodi Aznaveh, javad Najaf ...................................... Alizadeh, Caspian Makak, Ocean Zakarian, Davood Vakilzadeh, Arash Simaei, Abbas Jafari, Mohammadreza Baharnaz, Homayoun Amir yeganeh, Kianush Jafari Producer: Public Relations (RAI) Tehran - Goragn Route 64 Translation: Seyed Ebrahim Fazli Zenooz - ................................................ International Affairs Bureau (RAI) Address: Public Relations, Central Building of Railways, Africa Blvd., Argentina Sq., Tehran- Iran. www.rai.ir Tehran - Shiraz Route................................................... 80 First Edition January 2016 All rights reserved. Tehran - Khorramshahr Route .................................... 96 Tehran - Kerman Route .............................................114 Islamic Republic of Iran The Railways -
Migrations and Social Mobility in Greater Tehran: from Ethnic Coexistence to Political Divisions?
Migrations and social mobility in greater Tehran : from ethnic coexistence to political divisions? Bernard Hourcade To cite this version: Bernard Hourcade. Migrations and social mobility in greater Tehran : from ethnic coexistence to political divisions?. KUROKI Hidemitsu. Human mobility and multi-ethnic coexistence in Middle Eastern Urban societies1. Tehran Aleppo, Istanbul and Beirut. , 102, Research Institute for languages and cultures of Asia and Africa, Tokyo University of Foreign Languages, pp.27-40, 2015, Studia Culturae Islamicae, 978-4-86337-200-9. hal-01242641 HAL Id: hal-01242641 https://hal.archives-ouvertes.fr/hal-01242641 Submitted on 13 Dec 2015 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. LIST OF CONTRIBUTORS Bernard Hourcade is specializing in geography of Iran and Research Director Emeritus of Le Centre national de la recherche scientifique. His publication includes L'Iran au 20e siècle : entre nationalisme, islam et mondialisation (Paris: Fayard, 2007). Aïda Kanafani-Zahar is specializing in Anthropology and Research Fellow of Le Centre national de la recherche scientifique, affiliating to Collège de France. Her publication includes Liban: le vivre ensemble. Hsoun, 1994-2000 (Paris: Librairie Orientaliste Paul Geuthner, 2004). Stefan Knost is specializing in Ottoman history of Syria and Acting Professor of Martin-Luther-Universität Halle-Wittenberg. -
2018 Annual Report UNHCR – Educate a Child Programme
2018 Annual Report UNHCR – Educate A Child Programme 2018 Annual Report UNHCR – Educate A Child Programme Educate A Child (EAC) Enabling, encouraging and excelling UNHCR—EAC Programme 2015–2019 COUNTRY OPERATIONS Chad Ethiopia Islamic Republic of Iran Kenya–Dadaab Kenya–Kakuma Malaysia Pakistan Rwanda South Sudan Sudan Syrian Arab Republic Uganda Yemen–Aden Yemen–Sana’a ENROLMENT TARGETS AND ACHIEVEMENTS OUT OF SCHOOL CHILDREN (OOSC) Life of Project OOSC Enrolment Target 807,670 Current Project Year OOSC Target 160,689 New OOSC Enrolment this Reporting Period Actual 255,409 Total to Date OOSC Enrolment Actual 937,654 ORGANISATION AND IMPLEMENTING PARTNERS United Nations High Commissioner for Refugees (UNHCR) Ministries of Education National and International NGOs Refugee Communities AGREEMENT PERIOD 21 October 2015–31 December 2019 PERIOD COVERED BY THIS REPORT 1 January 2018–31 December 2018 CONTACT PERSON Marion Muscat Private Partnerships Officer Private Sector Partnerships Service, UNHCR, Copenhagen [email protected], +45 45 33 63 65 © United Nations High Commissioner for Refugees, November 2019 Cover photo: Hiba is excited to be attending school in Aleppo, after years of being unable to access education because of the war in Syria. Table of contents PROGRAMME OVERVIEW 7 Objectives and activities 2018 8 Key achievements 2018 9 Enrolment figures 2018 9 Executive Summary 10 School Year Overview 22 Progress at a glance 2018 23 COUNTRY OPERATIONS 25 Chad 26 Ethiopia 30 Islamic Republic of Iran 36 Kenya-Dadaab 40 Kenya-Kakuma 46 Malaysia 51 Pakistan 56 Rwanda 62 South Sudan 68 Sudan 72 Syrian Arab Republic 78 Uganda 82 Yemen-Aden 88 Yemen-Sana’a 92 Glossary 98 Credits 100 Thirteen-year-old Anita and Janet, two Congolese refugees, are best friends. -
Epidemiological Prevalence of Pediculosis and Its
Clinician’s corner Original Article Images in Medicine Experimental Research Case Report Miscellaneous Letter to Editor DOI: 10.7860/JCDR/2020/43085.13472 Review Article Postgraduate Education Epidemiological Prevalence of Pediculosis and Case Series its Influencing Factors in Iranian Schools: Epidemiology Section Systematic Review and Meta-analysis Short Communication MALIHE SOHRABIVAFA1, ELHAM GOODARZI2, VICTORIA MOMENABADI3, MARYAM SERAJI4, HASAN NAEMI5, ELHAM NEJADSADEGHI6, ZAHER KHAZAEI7 ABSTRACT Q-Cochran test was used at an error level of less than 10% and Introduction: Pediculosis is an endemic parasitic infestation in the quantity was estimated by I2. The Begg Rank Correlation many countries of the world. Iran is one of the countries with a Test and Eggers Regression Method were used to measure the high rate of pediculosis. publication bias. Aim: To investigate the prevalence and factors associated with Results: The results showed that 428,993 students were studied pediculosis in primary school students of Iran. in 55 papers between 2000 and 2016 and the prevalence of head louse (Pediculosis human capitis) was 6.4% (95% CI: 6-6.9). Materials and Methods: The literature search was carried The prevalence of lice (pediculosis) infestation among girls was out by two researchers on national databases including: SID, 6.1% (95% CI: 4.6-7.4) and in boys was 1.2% (95% CI: 0.8-1.7) Iranmedex, Magiran, Irandoc and international database and in rural areas prevalence was more than urban areas. including: Scopus, Pubmed and Web of Science to find relevant articles between 2000 and 2016. The search strategy Conclusion: The results of this study demonstrated a high was performed using keywords such as: “epidemiology”, incidence of pediculosis among rural school-girls. -
Iran Chamber of Commerce,Industries and Mines Date : 2008/01/26 Page: 1
Iran Chamber Of Commerce,Industries And Mines Date : 2008/01/26 Page: 1 Activity type: Exports , State : Tehran Membership Id. No.: 11020060 Surname: LAHOUTI Name: MEHDI Head Office Address: .No. 4, Badamchi Alley, Before Galoubandak, W. 15th Khordad Ave, Tehran, Tehran PostCode: PoBox: 1191755161 Email Address: [email protected] Phone: 55623672 Mobile: Fax: Telex: Membership Id. No.: 11020741 Surname: DASHTI DARIAN Name: MORTEZA Head Office Address: .No. 114, After Sepid Morgh, Vavan Rd., Qom Old Rd, Tehran, Tehran PostCode: PoBox: Email Address: Phone: 0229-2545671 Mobile: Fax: 0229-2546246 Telex: Membership Id. No.: 11021019 Surname: JOURABCHI Name: MAHMOUD Head Office Address: No. 64-65, Saray-e-Park, Kababiha Alley, Bazar, Tehran, Tehran PostCode: PoBox: Email Address: Phone: 5639291 Mobile: Fax: 5611821 Telex: Membership Id. No.: 11021259 Surname: MEHRDADI GARGARI Name: EBRAHIM Head Office Address: 2nd Fl., No. 62 & 63, Rohani Now Sarai, Bazar, Tehran, Tehran PostCode: PoBox: 14611/15768 Email Address: [email protected] Phone: 55633085 Mobile: Fax: Telex: Membership Id. No.: 11022224 Surname: ZARAY Name: JAVAD Head Office Address: .2nd Fl., No. 20 , 21, Park Sarai., Kababiha Alley., Abbas Abad Bazar, Tehran, Tehran PostCode: PoBox: Email Address: Phone: 5602486 Mobile: Fax: Telex: Iran Chamber Of Commerce,Industries And Mines Center (Computer Unit) Iran Chamber Of Commerce,Industries And Mines Date : 2008/01/26 Page: 2 Activity type: Exports , State : Tehran Membership Id. No.: 11023291 Surname: SABBER Name: AHMAD Head Office Address: No. 56 , Beside Saray-e-Khorram, Abbasabad Bazaar, Tehran, Tehran PostCode: PoBox: Email Address: Phone: 5631373 Mobile: Fax: Telex: Membership Id. No.: 11023731 Surname: HOSSEINJANI Name: EBRAHIM Head Office Address: .No. -
Mayors for Peace Member Cities 2021/10/01 平和首長会議 加盟都市リスト
Mayors for Peace Member Cities 2021/10/01 平和首長会議 加盟都市リスト ● Asia 4 Bangladesh 7 China アジア バングラデシュ 中国 1 Afghanistan 9 Khulna 6 Hangzhou アフガニスタン クルナ 杭州(ハンチォウ) 1 Herat 10 Kotwalipara 7 Wuhan ヘラート コタリパラ 武漢(ウハン) 2 Kabul 11 Meherpur 8 Cyprus カブール メヘルプール キプロス 3 Nili 12 Moulvibazar 1 Aglantzia ニリ モウロビバザール アグランツィア 2 Armenia 13 Narayanganj 2 Ammochostos (Famagusta) アルメニア ナラヤンガンジ アモコストス(ファマグスタ) 1 Yerevan 14 Narsingdi 3 Kyrenia エレバン ナールシンジ キレニア 3 Azerbaijan 15 Noapara 4 Kythrea アゼルバイジャン ノアパラ キシレア 1 Agdam 16 Patuakhali 5 Morphou アグダム(県) パトゥアカリ モルフー 2 Fuzuli 17 Rajshahi 9 Georgia フュズリ(県) ラージシャヒ ジョージア 3 Gubadli 18 Rangpur 1 Kutaisi クバドリ(県) ラングプール クタイシ 4 Jabrail Region 19 Swarupkati 2 Tbilisi ジャブライル(県) サルプカティ トビリシ 5 Kalbajar 20 Sylhet 10 India カルバジャル(県) シルヘット インド 6 Khocali 21 Tangail 1 Ahmedabad ホジャリ(県) タンガイル アーメダバード 7 Khojavend 22 Tongi 2 Bhopal ホジャヴェンド(県) トンギ ボパール 8 Lachin 5 Bhutan 3 Chandernagore ラチン(県) ブータン チャンダルナゴール 9 Shusha Region 1 Thimphu 4 Chandigarh シュシャ(県) ティンプー チャンディーガル 10 Zangilan Region 6 Cambodia 5 Chennai ザンギラン(県) カンボジア チェンナイ 4 Bangladesh 1 Ba Phnom 6 Cochin バングラデシュ バプノム コーチ(コーチン) 1 Bera 2 Phnom Penh 7 Delhi ベラ プノンペン デリー 2 Chapai Nawabganj 3 Siem Reap Province 8 Imphal チャパイ・ナワブガンジ シェムリアップ州 インパール 3 Chittagong 7 China 9 Kolkata チッタゴン 中国 コルカタ 4 Comilla 1 Beijing 10 Lucknow コミラ 北京(ペイチン) ラクノウ 5 Cox's Bazar 2 Chengdu 11 Mallappuzhassery コックスバザール 成都(チォントゥ) マラパザーサリー 6 Dhaka 3 Chongqing 12 Meerut ダッカ 重慶(チョンチン) メーラト 7 Gazipur 4 Dalian 13 Mumbai (Bombay) ガジプール 大連(タァリィェン) ムンバイ(旧ボンベイ) 8 Gopalpur 5 Fuzhou 14 Nagpur ゴパルプール 福州(フゥチォウ) ナーグプル 1/108 Pages