9 research outputs found
Corrigendum to "Tutorial on Applied Study Designs in Medical Research" [JCHR 2022; 11(3): 202-209]
The mistake made in article 9 is that the name of the fourth author is "Mehrnoosh Qomi", while the correct name is "Farnoosh Qomi".On behalf of the author, the publisher wishes to apologize for this error. The online version of article has been updated on 28 September 2022 and can be found at https://jhr.ssu.ac.ir/article-1-892-en.html
From Jyoti to Jasmine: Mukherjee's Quest for Hybrid Identity in Jasmine
Abstract: The present paper investigates the empowering force of
hybridity in female diasporant in Bharati Mukherjee’s outstanding novel
Jasmine. The novel depicts Jasmine’s journey of transformation from a
passive, traditional girl at the mercy of fate in a village in India to an active,
modern, and most importantly cross-cultural hybrid woman in America. All
through the novel, her identity is transformed in line with shifts in her name
from Jyoti to Jasmine to Jazzy to Jane. Accordingly, she stands in-between two
cultures, shuttles between identities, welds opposing identities, enters the third
space and emerges as a hybrid. The present study in the light of Homi Bhabha's
insights seeks to demonstrate that immigrating, experiencing displacement and
in-betweenness, and being positioned in the third space pave the way for
Jasmine’s becoming a hybrid and being liberated. Besides, the study is to
depict by creating a hybrid character, Bharati Mukherjee, the author, alludes to
her own very hybridity
From Tradition to Modernity: Nina’s Quest for Hybrid Identity in Manju Kapur’s The Immigrant
Rad proučava oslobađajuću moć Bhabhinog koncepta hibridnosti u romanu Imigrantica Manju Kapur. Prateći imigriranje protagonistice Nine u Kanadu, roman prikazuje njezine početne teškoće zbog kulturalnih razlika između Istoka i Zapada, tradicije i suvremenosti, njezine probleme s asimilacijom kao i njezin život između dvije sredine, promjenu njezine društvene uloge i identiteta te preživljavanje u novom svijetu. Nina ulazi u prostor između vlastite i nove kulture, posreduje između njih i živi u oba svijeta; na taj način, ona postaje dijelom trećeg prostora, tj. nalazi se u sredini ne dajući prednost ni jednoj ni drugoj kulturi, hibridom koji nastanjuje prostor između te razvija dvostruku svijest. Cilj je ovog rada primjenom Homi Bhabhinih teorijskih koncepata pokazati da biti dijelom trećeg prostora, tj. nadići suprotnosti, propitati ukalupljenost identiteta i iskusiti život u sredini – ne pripadati ni jednoj ni drugoj kulturi – može funkcionirati kao oblik Ninina oslobođenja. Nina nije ni tradicionalna ni suvremena žena nego oboje jer istovremeno i nadilazi i pomiruje tradiciju i suvremenost.The paper explores the liberating power of Bhabha’s concept of hybridity in Manju Kapur’s novel The Immigrant. By concentrating on Nina’s immigration to Canada, the novel addresses her early affliction due to the cultural clash between the East and West, tradition and modernity, her assimilation problems, as well as her gradual assimilation, her in-betweenness, transformation in her roles and identity, and survival in the host world. She opens a space in-between the home and host culture, mediates between them, and becomes the citizen of two worlds; she thus enters the third space, i.e. she stands in-between two cultures prioritizing neither the home nor the host culture but the middle ground and emerges as a hybrid who occupies the in-between space and develops a double vision. Using Homi Bhabha’s insights, this study seeks to demonstrate that being positioned in the third space, i.e. moving beyond the polarities and challenging the fixedness of identity and experiencing in-betweenness – being neither one nor the other, might pave the way for her liberation. The paper is to show that Nina is neither one nor the other, i.e. neither a traditional nor a modern woman but both, simultaneously transcending and reconciling the tradition and modernity
From ambigious borderscapes to pluralism: An alternative landscape representation as a way of integrating ‘nature’ and ‘culture’ around the Hunze valley
This research uses the notion of ‘pluralism’ as an alternative starting point for landscape architectural design by focusing on aspects of time and interactivity as opposed to strategies of re-configuration of both form and agency of the landscape. It explores the role of design in a rural landscape characterized by land ownership through the concept of ‘borderscapes’ as a political vacuum and area for minor interventions. The site of interest is located at the Hunze stream valley in the province of Drenthe, the Netherlands. The water conditions since pre-historical times have formed this territory through high and low plateaus, different soil types and dry or wet vegetation types. Located at a geomorphologically rich location but also vulnerable to land reclamation, the landscape of the Hunze valley has been influenced by ecological degradation. This research examines the spatial conditions that result from years of implemented policies and the effects on everyday experiences of nature. The Hunze stream valley has often been approached as a north-south water system that runs from highlands to lowlands, however this project depicts the area as an east-west system of material conditions and human inhabitation. Concluding that the territory is now characterized by separation (zoning of nature and culture), displacement of problem areas (soil movements), and the negligence of resource proximity. The east-west routing is used as a starting point for creating a new representation of site and experience on three traverses: the source, the crossing and the community.Architecture, Urbanism and Building Sciences | Landscape Architectur
The Capital of Elsewhere: Places, Fictions, Houstons
This study examines the manner in which fictional works illuminate the complex identity
of place by investigating authors associated with a single American city, Houston, Texas,
focusing chapter length studies on four: Donald Barthelme, Rick Bass, Farnoosh Moshiri, and
Tony Diaz. Its methodological framework is the “geocritical” approach, wherein, as stated by
Bertrand Westphal, “[t]he study of the viewpoint of an author or of a series of authors . . . will be
superseded in favor of examining a multiplicity of heterogeneous points of view, which all
converge in a given place, the primum mobile of the analysis.”
This multifocal approach reveals Houston as a place of unusual juxtapositions formed by
freeway culture, fluidity of categories due to a lack of zoning regulations, a “timelessness”
resulting from constant bulldozing of the past, and a powerful concern for market forces owing
to a laissez-faire attitude towards business and regulation, brought together in what architect
Peter Rowe labels the city’s “ever-present and unvarnished capacity for destabilization and
shape-shifting.” Variations of the place-experience of Houston based on the four authors’
heterogeneous viewpoints are examined, and potential drawbacks of the geocritical model in
identifying the nature of place through the lens of literature are explored
Proof of Concept of Novel Visuo-Spatial-Motor Fall Prevention Training for Old People
Falls in the geriatric population are one of the most important causes of disabilities in this age group. Its consequences impose a great deal of economic burden on health and insurance systems. This study was conducted by a multidisciplinary team with the aim of evaluating the effect of visuo-spatial-motor training for the prevention of falls in older adults. The subjects consisted of 31 volunteers aged 60 to 92 years who were studied in three groups: (1) A group under standard physical training, (2) a group under visuo-spatial-motor interventions, and (3) a control group (without any intervention). The results of the study showed that visual-spatial motor exercises significantly reduced the risk of falls of the subjects
Author Correction: Taurine, alpha lipoic acid and vitamin B6 ameliorate the reduced developmental competence of immature mouse oocytes exposed to methylglyoxal
Effects of humor therapy on fatigue and depression of multiple sclerosis (MS) patients
Effects of humor therapy on fatigue and depression of multiple sclerosis (MS) patients Moshtagh Eshgh, Z.1* (MSN); Naghavi, B.2 (MS); Rashvand, F.3 (MSN); Alavi Majd, H.4 (PhD), Bana Derakhshan, H. (MSN)5 1. Lecturer, Dept. of Medical-Surgical Nursing, Faculty of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran. *(Corresponding Author) e-mail:[email protected]. Lecturer, Dept. of Basic Sciences, Faculty of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.3. Lecturer, Azad University of Abhar, Abhar, Iran.4. Associate Professor, Dept. of Biostatistics, Faculty of Paramedical, Shahid Beheshti University of Medical Sciences, Tehran, Iran.5.Lecturer, Dept. of operating room & Anesthesia, Faculty of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Abstract Background and aimMultiple sclerosis (MS) is the most common disabling condition in young adults, which is caused by an inflammatory demyelination process in central nervous system. Fatigue and depression are the primary symptoms leading to dysfunction as well as disability in activities of daily living and decreased quality of life. Because of many drug-associated complications, applying other methods to lessen the symptoms seems reasonable. The aim of this study was to determine the effects of humor on fatigue and depression of clients referring to Iranian MS Society. Materials and methodsIn this one-group before-after clinical trial, 30 MS clients were selected by convenience sampling method. A 4-part questionnaire including demographics, items related to the condition, Fatigue Severity Scale (FSS) and Beck's Depression Inventory was used for data collection, validated and made reliable by content and test-retest methods respectively. The clients took part in humor therapy sessions 3 times a week, each lasting 30 minutes for 12 weeks. The sessions were hold during the day with entertaining and funny programs recorded on compact discs (CDs). The clients completed the questionnaire before and after the intervention. Data were then analyzed by different statistical methods. Findings A significant decrease was found in mean severities of fatigue and depression after the intervention (
Algorithms for Data-Efficient Training of Deep Neural Networks
Deep Neural Networks ("deep learning") have become a ubiquitous choice of algorithms for Machine Learning applications. These systems often achieve human-level or even super-human level performances across a variety of tasks such as computer vision, natural language processing, speech recognition, reinforcement learning, generative modeling and healthcare. This success can be attributed to their ability to learn complex representations directly from the raw input data, completely eliminating the hand-crafted feature extraction from the pipeline. However, there still exists a caveat: due to the extremely large number of trainable parameters in Deep Neural Networks, their generalization ability depends heavily on the availability of a large amount of labeled data.
In many machine learning applications, gathering a large amount of labeled data is not feasible due to privacy, cost, time or expertise constraints. Examples of such applications are abundant in healthcare; for example, predicting the effect of a medicine on a new patient in the scenario where the medicine has been administered to only a few patients earlier. This thesis addresses the problem of improving the generalization ability of Deep Neural Networks using a limited amount of labeled data. More specifically, this thesis explores a class of methods that directly incorporates the inductive bias about how the Deep Neural Networks should "behave" in-between the training samples (both in the input space as well as the hidden space) into the learning algorithms. Throughout several publications included in this thesis, the author has demonstrated that such kinds of methods can outperform conventional baseline methods and achieve state-of-the-art performance across supervised, unsupervised, semi-supervised, adversarial training and graph-based learning settings.
In addition to these algorithms, the author proposes a mutual information based method for learning the representations for the "graph-level" tasks in an unsupervised and semi-supervised manner. Finally, the author proposes a method to improve the generalization of ResNets based on the iterative inference view
