Public expenditures on HIV prevention, treatment, care, and support services in Iran, 2004

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal.

Légaliser la vente de reins : à quel prix… Compte-rendu de The Kidney Sellers: A Journey of Discovery in Iran par Sigrid Fry-Revere

Compte-rendu / Review

Compte-rendu de The Kidney Sellers: A Journey of Discovery in Iran par Sigrid Fry-Revere – Response by the author

Lettre à l'éditeur / Letter to the Editor

Analysis of red pigments from the Neolithic sites of Çatalhöyük in Turkey and Sheikh-e Abad in Iran

Samples containing red pigment have been collected from two different archaeological sites dating to the Neolithic (Çatalhöyük in Turkey and Sheikh-e Abad in Iran) and have been analysed by a range of techniques. Sub-samples were examined by IR spectroscopy and X-ray diffraction, whilst thin sections were studied using optical polarising microscopy, synchrotron based IR microscopy and environmental scanning electron microscopy with energy dispersive X-ray analysis. Thin layers of red paint in a wall painting from Çatalhöyük were found to contain ochre (hematite and clay) as well as an unexpected component, grains of red and colourless obsidian, which have not been identified in any previous studies of the wall paintings at Çatalhöyük. These small grains of obsidian may have improved the reflective properties of the paint and made the artwork more vivid in the darkness of the buildings. Analysis of a roughly shaped ball of red sediment found on a possible working surface at Sheikh-e Abad revealed that the cause of the red colouring was the mineral hematite, which was probably from a source of terra rossa sediment in the local area. The results of this work suggest it is unlikely that this had been altered by the Neolithic people through mixing with other minerals.

MA TEFL programmes in Iran: change in a globalised era

This chapter is a modest attempt to investigate how MA TEFL programmes in Iran are changing in a globalised world. Our previous research in this area (Hasrati & Tavakoli, in print; Tavakoli & Hasrati, in preparation) has shown how MAs in English Language Teaching programmes are developing in Anglophone countries, but little or no research has been conducted to study changes in MA TEFL programmes in Iran. In what follows, we will first introduce MA TEFL programmes in Iran, before presenting and discussing different definitions of globalisation. We will then explain how we collected the data for this study and report our findings, making comparisons with the other contexts when appropriate. We will conclude by elaborating on possible extensions of this study in similar contexts.

Modeling and forecasting long-term natural gas (NG) consumption in Iran, using particle swarm optimization (PSO)

The gradual changes in the world development have brought energy issues back into high profile. An ongoing challenge for countries around the world is to balance the development gains against its effects on the environment. The energy management is the key factor of any sustainable development program. All the aspects of development in agriculture, power generation, social welfare and industry in Iran are crucially related to the energy and its revenue. Forecasting end-use natural gas consumption is an important Factor for efficient system operation and a basis for planning decisions. In this thesis, particle swarm optimization (PSO) used to forecast long run natural gas consumption in Iran. Gas consumption data in Iran for the previous 34 years is used to predict the consumption for the coming years. Four linear and nonlinear models proposed and six factors such as Gross Domestic Product (GDP), Population, National Income (NI), Temperature, Consumer Price Index (CPI) and yearly Natural Gas (NG) demand investigated.

Do female and male employees in Iran experience similar work-family interference, job and life satisfaction?

This study aims at examining gender differences in the experience of work–family interference and perceived job–life satisfaction in a group of Iranian employees. The participants in the study consist of 387 Iranian male and female employees from a variety of organizations. The results of t tests and multiple regression analysis using EQS 6.1 support the hypothesis that Iranian male and female employees experience similar interference in their work–family domains although they spend different numbers of hours in the workplace. The findings also show that whereas work-to-family interference has significant and negative effects on job–life satisfaction among male employees, for female employees, working hours and family-to-work interference had even more significant and negative effects on their job–ife satisfaction. Implications are discussed and recommendations made regarding future research and interventions in this area.

Extending technology acceptance model to the E-recruitment context in Iran

Using a sample of 332 job applicants in Iran, this study integrates Technology Acceptance Model (TAM) and signaling theory to explain factors influencing applicants' behavioral intentions to apply for jobs online. Of the two main constructs of TAM, perceived usefulness was found to have a significant impact on applicants' behavioral intentions, while perceived ease of use was not. Based on the signaling theory, impression of the organizational website appeared to create interests in organization as a potential employer; hence, prompt applicants to apply for jobs. These results extend our understanding of the online recruitment in different context and provide further insights with regard to possible effects of website features on applicants' attractions toward organizations operating in Iran.

Twitter free Iran: an evaluation of Twitter's role in public diplomacy and information operations in Iran's 2009 election crisis

Social media platforms such as Twitter pose new challenges for decision-makers in an international crisis. We examine Twitter’s role during Iran’s 2009 election crisis using a comparative analysis of Twitter investors, US State Department diplomats, citizen activists and Iranian protestors and paramilitary forces. We code for key events during the election’s aftermath from 12 June to 5 August 2009, and evaluate Twitter. Foreign policy, international political economy and historical sociology frameworks provide a deeper context of how Twitter was used by different users for defensive information operations and public diplomacy. Those who believe Twitter and other social network technologies will enable ordinary people to seize power from repressive regimes should consider the fate of Iran’s protestors, some of whom paid for their enthusiastic adoption of Twitter with their lives.