50 research outputs found
Stories
No full textAuthor Note:
(Tara) Setareh Farahani is a graduate of the Bachelor of Social Work program at Ryerson University. The author is thankful for the support of the Ryerson Faculty of Community Services, including the Ryerson School of Social Work, and the CAOS reviewers in the publication of her multiple artistic works. Correspondence concerning these artistic works should be addressed to Tara Farahani at [email protected]. 
Why I Eat
No full textAuthor Note:
(Tara) Setareh Farahani is a graduate of the Bachelor of Social Work program at Ryerson University. The author is thankful for the support of the Ryerson Faculty of Community Services, including the Ryerson School of Social Work, and the CAOS reviewers in the publication of her multiple artistic works. Correspondence concerning these artistic works should be addressed to Tara Farahani at [email protected].
 
A policy model for Tunisia with real and financial flows
No full textThis model was developed to provide a moacroeconomic framework for Tunisia's structural adjustment program and a flexible tool for further country economic analysis. As currently specified, it is designed to analyze fiscal, debt, and incomes policies, while deriving implications for the exchange rate and for the availability of credit to the private sector. Several policy experiments are carried out to illustrate this focus, and suggestions are offered for variations in model closure and detail.Economic Theory&Research,Environmental Economics&Policies,Banks&Banking Reform,Economic Stabilization,Financial Intermediation
Az Zaban-e Modari : Raqs-e Aab Raqs-e Setareh
No full textCatalogue of an exhibition held at SASA Gallery, Adelaide, 14 September-15 October 2010."All that I do, all that I am, all that I love and all that I resist are from my mother tongue. My encounter with these notions is the reflection of a sensibility
that is hope, arising from Persian mysticism and Bahai literature, to give a tone of optimism towards universal human values where resistance, equity, love, being, beauty and truth are implemented to deal with history and explore issues pertaining to the human condition - Siamak Fallah."--SASA Gallery website
Credit rationing, tenancy, productivity, and the dynamics of inequality
No full textWhy, when given the same resources, might productivity be lower on farms operated through sharecropping than on owner-run farms? The reason is that sharecropping, much less wage contracts, cannot overcome the divergence of interests between those who till the land and those who own it. Only land redistribution can do that. This paper presents notes toward a general equilibrium theory of land tenancy that suggest how changes in technology and publicly provided infrastructure can affect the equilibrium distribution of land in countries where credit is rationed. When credit to famers is rationed, changes in technology can increase the inequality in landholdings - with a long term increase in share tenancy. This is turn might reduce productivity, at least partially offsetting the initial improvements. The paper suggests that the development of effective rural financial institutions would reduce the likelihood of these negative effects on equality and productivity. It further cautions though that past attempts in creating such institutions have failed because of a lack of accountability and of enforcement procedures.Environmental Economics&Policies,Economic Theory&Research,Banks&Banking Reform,Economic Growth,Municipal Financial Management
The Open House / The Open Archive: Unfolding the domestic archive of Gojka Vukovića 11
No full textThe body is an unfolding archive, containing material layers, fossilized remnants of past memories, skin lesions of still visible trauma. The body is a daily carrying agent of intersections, between the outside-inside and inside-inside, in which there is a radicality in considering the ongoing daily or domestic for the institutional. The archive could be an unfolding institution, where fluid embodiments are archived, bodies collide onto Others, objects transfer knowledge, and events are mapped. The body and the archive are both subject to time; time as carrier of events, time as agent in the impermanence or transience of material, narrative, and memory. Time as challenger of the techniques and stability of knowledge. Transitioning the fossilized narratives in trauma is to disrupt the notion of archiving, through movement in its collection, transferring the knowledge from the fixed object.Neretva Recollection: Materiality of War, Flowing Memories and Living ArchiveArchitecture, Urbanism and Building Science
Corrigendum to data on nitrate�nitrite pollution in the groundwater resources a Sonqor plain in Iran Data in Brief Volume 20 (2018) Pages 394�401, (S2352340918308734), (10.1016/j.dib.2018.08.023)
No full textThe authors regret to say that they have forgotten to cite a key reference for the Table 4 and Fig. 7 during the preparation of draft manuscript. In this regard, the following citation should be considered as the reference for the mentioned sections: Setareh Parasto, Rezaei Mansour, Hassani Amir Hossam, Zeinatizadeh Ali Akbar. Distribution of groundwater pollution to nitrate in GIS environment: A case study of Songhar plain. Journal of Kermanshah University of Medical Sciences (improvement) (journal of Kermanshah University of Medical Sciences). 1393 cited 2021October28; 18 (3 (76)): 157�164. Available from: https://www.sid.ir/fa/journal/ViewPaper.aspx?id=224048.The authors would like to apologize for the authors of the above-detailed article any inconvenience caused. © 2022 The Author
Analysis of road traffic mortality in Iran.
No full textThe main objective of this study is to analyze demographic, socioeconomic and circumstantial profiles of the victims of road traffic crashes in Iran (a country with very high road traffic mortality) during March 21 to November 21 of 2009. The database consists of 16,556 victims. The descriptive analysis indicates that the vast majority of victims (79%) were males, over 44% of them were of younger age (15-34 years), and 89% of victims had educational levels up to high school. The largest proportion of victims belonged to drivers (41%), followed by passengers (34.5%) and pedestrians (23%). Head injury figured as the main reason of death (over 61% of all deaths), followed by multiple fractures (25%). And over 2/3 of the crashes happened in out-of-town areas. Bivariate analysis of the data shows statistically significant relationships between victims' status with each of the covariates gender, age and education. Also, statistically significant associations are observed between the place of death and each of the covariates age, status, the reason of death and the location of the crash. Multinomial logistic regression models were employed to estimate the odds ratios for different categories of victim's status and place of death as affected by gender, age, education and other circumstantial factors. Being male, and younger than 60 increases the likelihood of death due to head injury and death at the scene of crash or on the way to hospital. Higher levels of education also increase the likelihood of death as a driver of passenger compared to pedestrians. A secondary objective of the study is to estimate the economic cost of the road traffic fatality for the period of study. The estimated traffic accident costs amounted to US$17 billion or 7% of the country's gross domestic product (GDP). Dealing with road traffic safety should become a high priority policy in Iran to prevent such devastating results. --Leaves ii-iii.The original print copy of this thesis may be available here: http://wizard.unbc.ca/record=b189080
An integrated model of perennial and annual crop production for Sub-Saharan countries
No full textCrop production in sub-Saharan Africa is dominated by smallholders who allocate household labor across annual and perennial crops and, in some cases, to wage labor markets. This paper develops a microeconomic model of household choice which is consistent with observed characteristics of sub-Saharan agricultural systems in terms of: integrated production of annual and perennial crops; price uncertainty in markets that may be affected by government intervention; the potential for off-farm employment; household consumption of crops produced on the farm; and household consumption of non-food goods, school fees and so on. The paper considers variations in the model to establish their implications. These variations include differential buying and selling prices, fixed subsistence consumption constraints, participation in wage market labor, smuggling in response to government price control, and parallel markets with penalties for smuggling.Environmental Economics&Policies,Economic Theory&Research,Crops&Crop Management Systems,Consumption,Access to Markets
Enhancing Object Detection Methods by Knowledge Distillation for Automotive Driving in Real-World Settings
No full textCommercial cameras primarily aim to capture visually appealing images for human viewers, often leading to the loss of critical information during the image generation process. However, for machine vision applications, extracting as much data as possible from an image is crucial for effective operation. In the context of autonomous vehicles, cameras serve as vital vision tools, where data captured is processed through object detection algorithms such as YOLO, FasterRCNN, RetinaNet, etc. Hence, it becomes essential to have an object detection algorithm capable of leveraging all available information from camera images to perform effectively under challenging conditions, such as low-light scenarios and the detection of small or distant objects. Traditionally, the establishment and evaluation of most object detection models have been based on common RGB images, which align with human visual perception. However, important details that could be valuable for machine vision tasks often vanish through the image signal processing (ISP) pipeline. To address this limitation, cameras with an RCCB (Red, Clear, Clear, Blue) color format, replacing the green channel with clear, have been introduced in the autonomous driving industry featuring more low-light sensitivity and less noise absorptive; which leads to enhanced object detection quality. This research focuses on training cost-effective object detection models 3 using raw images captured with an RCCB color filter array, while requiring a minimum amount of training data and low computational complexity. The author employs a knowledge distillation method through unsupervised learning to transfer the knowledge from high-performance state-of-the-art object detection models, trained on RGGB (Red, Green, Green, Blue) color filter array images, to operate with high accuracy on RCCB raw images. The results of this study demonstrate the effectiveness of the proposed approach in training object detection models specifically tailored for autonomous driving applications. By leveraging RCCB raw images and incorporating knowledge distillation, a compelling performance was achieved while optimizing training costs and computational requirements
