Central Iran ﺍﻳﺮﺍﻥ ﻣﺮﮐﺰی
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Biggest Expulsion in Eight Years
Table of Contents At least 10 Christians arrested in Shiraz Iranian Christian prisoner temporarily released from prison Iranian pastor released after 5 years in jail Few Christian converts arrested in Karaj temporarily released Fourteen Christians arrested near Tehran Tahereh Reza’i arrested and sent to Yazd prison Iranian death sentence commuted to two years' theology study Iran’s persecution of the Baha’i has been met by silence from Rouhani and the world Current situation of Baha’is in Iran Details of the arrests and the condition of Christian detainees in Karaj Non-Trinitarian cult member received early release from prison 11 Human rights organizations condemned the destruction of Sunni place of worship in Tehran Iran pastor Fathi's appeal fails, against extra year in prison and 74 lashes Eighteen Iranian Christian converts sentenced to a total of 23 years in prison Global campaign on 7th anniversary of arrest of seven Iranian Baha’i leaders Two Iranian Christians sentenced to a total of ten years in prison Iranian Ayatollah warns against house churches in Iran! Suppression and “Climate of fear” reign in Iran for religious minorities Christian convert conditionally released before Persian new year Imprisoned Baha’i educator wins Raha Südwind Award Former Pastor of Pentecostal Church released from prison The persecution of Christians in Iran: report launched Prison imam files additional complaint against imprisoned pastor Iranian pastor released from prison but others arrested same day remain Christian convert -
The Location Optimization of Wind Turbine Sites with Using the MCDM Approach: a Case Study
Energy Equip. Sys./ Vol. 5/No.2/ June 2017/165-187 Energy Equipment and Systems http://energyequipsys.ut.ac.ir www.energyequipsys.com The location optimization of wind turbine sites with using the MCDM approach: A case study Author ABSTRACT a* Mostafa Rezaei-Shouroki The many advantages of renewable energies—especially wind—such as abundance, permanence, and lack of pollution, have encouraged a Industrial Engineering Department, many industrialized and developing countries to focus more on these Yazd University, Yazd, Iran clean sources of energy. The purpose of this study is to prioritize and rank 13 cities of the Fars province in Iran in terms of their suitability for the construction of a wind farm. Six important criteria are used to prioritize and rank these cities. Among these, wind power density— the most important criterion—was calculated by obtaining the three- hourly wind speed data at the height of 10 m above ground level related to the time period between 2004 and 2013 and then extrapolating these data to acquire wind speed related to the height of 40 m. The Data Envelopment Analysis (DEA) method was used for prioritizing and ranking the cities, after which Analytical Hierarchy Process (AHP) and Fuzzy Technique for Order of Preference by Article history: Similarity to Ideal Solution (FTOPSIS) methods were used to assess the validity of the results. According to the results obtained from these Received : 20 September 2016 three methods, the city of Izadkhast is recommended as the best Accepted : 5 February 2017 location for the construction of a wind farm. Keywords: Wind Farm; Prioritizing; Optimization; Fars Province; Data Envelopment Analysis (DEA). -
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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 -
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 -
Les Appellations D'origine Et Les Indications Géographiques
Les appellations d’origine Appellations of origin Las denominaciones de origen No 47 Les appellations d’origine Année 2018 / Year 2018 / Año 2018 Publication du Bureau international Publication Date: February 10, 2005 de l’Organisation Mondiale de la Propriété Intellectuelle No 39 - Janvier 2011 Fecha de publicación: 10 de febrero de 2005 Appellations of origin Nos 838979 - 839219 Publication of the International Bureau of the World Intellectual Property Organization No. 39 - January 2011 Las denominaciones de origen Publicación de la Oficina Internacional de la Organización Mundial de la Propiedad Intelectual No 39 - Enero de 2011 ISSN 0253-8180O OMPI 2011 PUB: 105 Les appellations d’origine Publication du Bureau international de l’Organisation Mondiale de la Propriété Intellectuelle (OMPI) Appellations of origin Publication of the International Bureau of the World Intellectual Property Organization (WIPO) Las denominaciones de origen Publicación de la Oficina Internacional de la Organización Mundial de la Propiedad Intelectual (OMPI) Année 2018 / Year 2018 / Año 2018 No. 47 Administration : Service d’enregistrement Administration: Lisbon Registry Administración: Registro de Lisboa Lisbonne WORLD INTELLECTUAL PROPERTY ORGANIZACIÓN MUNDIAL DE LA ORGANISATION MONDIALE DE LA ORGANIZATION (WIPO) PROPIEDAD INTELECTUAL (OMPI) PROPRIÉTÉ INTELLECTUELLE (OMPI) 34, chemin des Colombettes 34 chemin des Colombettes 34, chemin des Colombettes CH-1211 GENEVA 20 (Switzerland) CH-1211 GINEBRA 20 (Suiza) CH-1211 GENÈVE 20 (Suisse) (+41) 22 338 91 11 -
Kuwaital Kuwayt Mina Al Ahmadi Burqan KUWAIT Wafrah Mina Su’Ud
THE REGIONAL GUIDE AND MAP OF Al Basrah Az Zubayr BASRA Abadan Rumaylah Safwan Khosrowabad Umm Qasr Abu al Khasib Ah Faw Ar Rawdatayn Bi’r Mutribah Al Matla Al Bahrah Al Jahrah KuwaitAl Kuwayt Mina al Ahmadi Burqan KUWAIT Wafrah Mina Su’ud Al Khafji Al Wari’ah As Saffaniyah Weller 11101 WELLER CARTOGRAPHIC SERVICES LTD. is pleased to continue its efforts to provide map information on the internet for free but we are asking you for your support if you have the financial means to do so? With the introduction of Apple's iPhone and iPad and using GoodReader you can now make our pdf maps mobile. If enough users can help us, we can update our existing material and create new maps. We have joined PayPal to provide the means for you to make a donation for these maps. We are asking for $5.00 per map used but would be happy with any support. Weller Cartographic is adding this page to all our map products. If you want this file without this request please return to our catalogue and use the html page to purchase the file for the amount requested. click here to return to the html page If you want a file that is print enabled return to the html page and purchase the file for the amount requested. click here to return to the html page We can sell you Adobe Illustrator files as well, on a map by map basis please contact us for details. click here to reach [email protected] Weller Cartographic Services Ltd. -
Original Article Potentially Toxic Element Concentration in Fruits
Biomed Environ Sci, 2019; 32(11): 839-853 839 Original Article Potentially Toxic Element Concentration in Fruits Collected from Markazi Province (Iran): A Probabilistic Health Risk Assessment Mohammad Rezaei1,2, Bahareh Ghasemidehkordi3, Babak Peykarestan4, Nabi Shariatifar2, Maryam Jafari2, Yadolah Fakhri5, Maryam Jabbari6, and Amin Mousavi Khaneghah7,# 1. Department of Food Hygiene, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran; 2. Department of Food Safety and Hygiene, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; 3. Department of Biochemistry, Payame Noor University, Isfahan, Iran; 4. Department of Agriculture, Payame Noor University, Tehran, Iran; 5. Department of Environmental Health Engineering, School of Public Health and Safety, Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran; 6. Department of Public Health, School of Paramedical and Health, Zanjan University of Medical Sciences, Zanjan, Iran; 7. Department of Food Science, Faculty of Food Engineering, University of Campinas (UNICAMP), Rua Monteiro Lobato, 80. Caixa Postal: 6121.CEP: 13083-862. Campinas. São Paulo. Brazil Abstract Objective This study was conducted to evaluate the concentration of potentially toxic elements (PTEs) such as arsenic (As), cadmium (Cd), mercury (Hg), and lead (Pb) in fruit samples collected from Markazi Province, Iran. A probabilistic health risk assessment due to ingestion of PTEs through the consumption of these fruits was also conducted. Methods The concentration of PTEs in 90 samples of five types of fruits (n = 3) collected from six geographic regions in Markazi Province was measured. The potential health risk was evaluated using a Monte Carlo simulation model. Results A significant difference was observed in the concentration of PTEs between fruits as well as soil and water samples collected from different regions in Markazi Province. -
Doi: 10.1029/2010JD015541
ChinaXiv合作期刊 Prediction of meteorological drought in arid and semi-arid regions using PDSI and SDSM: a case study in Fars Province, Iran Sheida DEHGHAN1, Nasrin SALEHNIA2, Nasrin SAYARI1*, Bahram BAKHTIARI1 1 Department of Water Engineering, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman 7616914111, Iran; 2 Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad 9177949207, Iran Abstract: Drought is one of the most significant environmental disasters, especially in arid and semi-arid regions. Drought indices as a tool for management practices seeking to deal with the drought phenomenon are widely used around the world. One of these indicators is the Palmer drought severity index (PDSI), which is used in many parts of the world to assess the drought situation and continuation. In this study, the drought state of Fars Province in Iran was evaluated by using the PDSI over 1995–2014 according to meteorological data from six weather stations in the province. A statistical downscaling model (SDSM) was used to apply the output results of the general circulation model in Fars Province. To implement data processing and prediction of climate data, a statistical period 1995–2014 was considered as the monitoring period, and a statistical period 2019–2048 was for the prediction period. The results revealed that there is a good agreement between the simulated precipitation (R2>0.63; R2, determination coefficient; MAE<0.52; MAE, mean absolute error; RMSE<0.56; RMSE, Root Mean Squared Error) and temperature (R2>0.95, MAE<1.74, and RMSE<1.78) with the observed data from the stations. The results of the drought monitoring model presented that dry periods would increase over the next three decades as compared to the historical data. -
The Best Tourist Times and Destinations of Fars Province
2011 2nd International Conference on Business, Economics and Tourism Management IPEDR vol.24 (2011) © (2011) IACSIT Press, Singapore The Application of GIS in Locate (Determining) the Best Tourist Times and Destinations of Fars Province Farhad Mollaie1, Amir Gandomkar1 1Najafabad Branch, Islamic Azad University, Najafabad, Iran Abstract. Fars Province of Iran is a vast province in terms of tourism potential, there is a lot of capabilities.Cultural Tourism in the province of historical and natural tourism poles Iran is considered to be so unfortunately it is not used.To develop tourism in the region must present times and places suitable for tourists in the area is clear.One of the most important needs of tourists aware of the climatic situation and the times are conducive to tourism.In this study using TCI tourism climate index as well as the role of GIS software distribution climate tourism is drawing all the months the province.The results of this study indicate the months in the Persian month October best time for tourism in the province, and later also the months.The worst month for tourism December, is.Spatial dispersion of central and northern provinces are better. .Keyword: Climate،Tourism،TCI index ،Fars Province 1. Introduction Tourism is considered to be an economic sector sensitive to weather and climate. The effect of weather and climate not only results in the appearance of tourism, but causes the demand for tourist services. In some cases, the dependence on climate qualities regarding tourism demand is seen both as the source of appearance for tourism and its limiting factor. -
Systematics, Phylogeny and Biogeography of Cousinia (Asteraceae)
SYSTEMATICS, PHYLOGENY AND BIOGEOGRAPHY OF COUSINIA (ASTERACEAE) Dissertation Zur Erlangung des Grades Doktor der Naturwissenschaften am Fachbereich Biologie der Johannes Gutenberg‐Universität Mainz Iraj Mehregan geb. in Gachsaran, Iran Mainz, 2008 Dekan: 1. Berichterstatter: 2. Berichterstatter: Tag der mündlichen Prüfung: 10. 07. 2008 II Kapitel 2 (chapter 2) dieser Arbeit ist im Druck bei “Taxon“: López‐Vinyallonga, S., Mehregan, I.*, Garcia‐Jacas, N., Tscherneva, O., Susanna, A. & Kadereit, J. W.*: Phylogeny and evolution of the Arctium‐Cousinia complex (Compositae, Cardueae‐Carduinae). * Von den Autoren Mehregan, I und Kadereit, J. W.: Die Generation der ITS‐Sequenzen von 113 Taxa (Appendix 1), die Bayesische Analyse der ITS‐ und rpS4‐trnT‐trnL‐Sequenzen, das Rechnen der Molekularen Uhr sowie der Partition‐Hemogenity Test und die Analyse des Cousinioid Clade wurde in Rahmen dieser Dissertation ausgeführt. Das Manuskript wurde in Zusammenarbeit aller Autoren geschrieben. Kapitel 3 (chapter 3) diese Arbeit wird bei “Willdenowia” eingereicht: Mehregan, I. & Kadereit, J. W.: The role of hybridization in the evolution of Cousinia s.s. (Asteraceae). Kapitel 4 (chapter 4) dieser Arbeit ist im Druck bei “Willdenowia“: Mehregan, I. & Kadereit, J. W.: Taxonomic revision of Cousinia sect. Cynaroideae. III Contents SUMMARY............................................................................................................................................................................1 ZUSAMMENFASSUNG .....................................................................................................................................................2 -
Islamic Republic of Iran
GIMU / PGDS Islamic Republic of Iran Geographic Information and Mapping Unit As of June 2003 Population and Geographic Data Section Email : [email protected] ))) ))) ))) ))) CC ))) ))) ))) ) ))) ))) Istisu CCCC ))) ) !! Igdir ))) CCCCCC Aktash) !! ))) CCCCCCCC ) !! ))) ))) CCCCCCCCCCCC !! Erzurum Aygavan ))) CCCCCCCCCCCC ))) CCCCCCCCCC ))) ))) CCCCCC ))) CC ))) ))) CCCC CC ))) ))) CCCC CC ))) CC CC ))) ))) ))) CC CC ))) ))) ))) ))) ))) ))) ))) ))) ))) ))) CC Dzhebel )))Bukhara ))) Karaköse ))) CC ))) ))) CC ))) CC ))) Azizbekov ))) ))) AZERBAIJANAZERBAIJAN))) ))) ))) AZERBAIJANAZERBAIJAN))) AZERBAIJANAZERBAIJAN))) AZERBAIJANAZERBAIJAN))) AZERBAIJANAZERBAIJAN))) AZERBAIJANAZERBAIJAN))) AZERBAIJANAZERBAIJANCC ))) CC ))) CC CC ))) ))) CC CC ))) ))) CC ))) Dogubayazit ))) Sisian))) ))) ))) ))) Nebit Dag ))) ))) ))) CC ))) ))) CC ))) Cheleken ))) CC ))) Neftechala ))) ))) ))) ))) ))) Kazandzhik ))) Nakhichevan'))) ))) ))) ))) Kafan ))) ))) ))) ))) ))) Prishib ))) ))) Kallyg ))) Chardzhou ))) TURKEYTURKEY ))) Kum Dag CC))) ))) TURKEYTURKEY ))) CC TURKEYTURKEY ))) CC TURKEYTURKEY ))) CC !!!TURKEYTURKEY ))) CC TURKEYTURKEY ))) !!! ))) !!! ))) Kizyl-Arvat !!! ))) !!! ))) !!! ))) !!! ))) ))) ))) ))) ))))) CC ))) Bingol ))))) Port Il'ich CC ))) Karshi ))) ))) TURKMENISTANTURKMENISTAN ))) ))) TURKMENISTANTURKMENISTAN ))) ))) TURKMENISTANTURKMENISTAN ))) Lerik))) TURKMENISTANTURKMENISTAN ))) ))) TURKMENISTANTURKMENISTAN ))) ))) TURKMENISTANTURKMENISTAN ))) TURKMENISTANTURKMENISTAN ))) Mus CC ))) ARMENIAARMENIA ))) ARMENIAARMENIA ))) ARMENIAARMENIA -
The Kashkay People, Past and Present
The Kashkay People, Past and Present Sohrab Dolatkhah* Abstract: The Kashkay, a Turkic-speaking people living in Iran, have been the subject of scholarly research since the beginning of 20th cen- tury. This article aims at providing some general (e.g. geographical, socio-ethnological and historical) data on this people. To give an over- view of the history of the Kashkay people, the author traces back its roots to the early times of Turkic presence in the south of Iran. Key Words: Kashkay, Qashqa'i, Turkic-speaking people, Iran, history of the Kashkay. The name Kashkay The Kashkay is a Turkic-speaking Shi’a Muslim people living in central- qæʃqɑī] in Arabo-Persian script] ﻗﺸﻘﺎﻳﯽ southern Iran. The name is written and in Persian is considered as consisting of ‘qašqā’ and ‘ī’, a derivational suffix originally Arabic. The Kashkay themselves pronounce it [qæʃԍɑy]. Different transcriptions occur in Western literature, e.g. Qašqā’ī, Qashqa'i, Qashqay, Kashgay and Kashkay. In recent publications the form Kashkay is preferred, possibly after the transcription used in the Encyclopédie de l’Islam. It would be more practical to use only this form which is most in accord with the native pronunciation and Turcologic phonology. According to available historical sources, the name “Kashkay” first appeared in the late 17th century in a Safavid official document deeding a land property to the Shahilu family1 who later became the rulers of the Kashkay people (Beck 1986: 46-47). In the early 19th century, one of the descendents of the Shahilu family unified most of the Turkic and some of the non-Turkic tribes of southern Iran within the Il-e Kashkay (“Kashkay tribal confederation”).