Marriage and migration: Bengali and Bihari brides in Baduan, Uttar Pradesh

Shruti Chaudhry and Taneesha Mohan argue that cross-regional marriages in Uttar Pradesh do not constitute bride-buying or trafficking, and are instead a new kind of commercially mediated marriage

Evaluating Content-centric vs User-centric Ad Affect Recognition

Despite the fact that advertisements (ads) often include strongly emotional content, very little work has been devoted to affect recognition (AR) from ads. This work explicitly compares content-centric and user-centric ad AR methodologies, and evaluates the impact of enhanced AR on computational advertising via a user study. Specifically, we (1) compile an affective ad dataset capable of evoking coherent emotions across users; (2) explore the efficacy of content-centric convolutional neural network (CNN) features for encoding emotions, and show that CNN features outperform low-level emotion descriptors; (3) examine user-centered ad AR by analyzing Electroencephalogram (EEG) responses acquired from eleven viewers, and find that EEG signals encode emotional information better than content descriptors; (4) investigate the relationship between objective AR and subjective viewer experience while watching an ad-embedded online video stream based on a study involving 12 users. To our knowledge, this is the first work to (a) expressly compare user vs content-centered AR for ads, and (b) study the relationship between modeling of ad emotions and its impact on a real-life advertising application.Comment: Accepted at the ACM International Conference on Multimodal Interation (ICMI) 201

Affect Recognition in Ads with Application to Computational Advertising

Advertisements (ads) often include strongly emotional content to leave a lasting impression on the viewer. This work (i) compiles an affective ad dataset capable of evoking coherent emotions across users, as determined from the affective opinions of five experts and 14 annotators; (ii) explores the efficacy of convolutional neural network (CNN) features for encoding emotions, and observes that CNN features outperform low-level audio-visual emotion descriptors upon extensive experimentation; and (iii) demonstrates how enhanced affect prediction facilitates computational advertising, and leads to better viewing experience while watching an online video stream embedded with ads based on a study involving 17 users. We model ad emotions based on subjective human opinions as well as objective multimodal features, and show how effectively modeling ad emotions can positively impact a real-life application.Comment: Accepted at the ACM International Conference on Multimedia (ACM MM) 201

Clinical and cytohistopathological evaluation of inflammatory skin lesions in and around Muzaffarnagar district

Abstract: Introduction : Cytological examination is the initial diagnostic technique for nodular skin lesions which gives the basi

Sebaceous carcinoma of right upper eyelid: case report and literature review

Sebaceous gland carcinoma is a rare fast growing cutaneous cancer. It is derived from the adenxal epithelium of sebaceous glands. Sebaceous carcinomas are generally divided into those occurring in periocular or extraocular locations. Ocular sebaceous carcinomas occur most commonly in upper eye lid, in the elderly with a predilection for females and Asian populations. Due to its clinical resemblance with chalazion or other chronic inflammatory conditions, there is a delay in diagnosis. Due to its rarity, we present a case of sebaceous carcinoma of right upper eyelid in a 65-year-old female.----------------------------------------------Cite this article as:Singh S, Kaur S, Mohan A, Goyal S. Sebaceous carcinoma of right upper eyelid: case report and literature review. Int J Cancer Ther Oncol 2013; 1(2):01022.DOI: http://dx.doi.org/10.14319/ijcto.0102.

Mobile health technology (mDiab) for the prevention of type 2 diabetes: protocol for a randomized controlled trial

BACKGROUND: The prevalence of type 2 diabetes is increasing in epidemic proportions in low- and middle-income countries. There is an urgent need for novel methods to tackle the increasing incidence of diabetes. The ubiquity of mobile phone use and access to Internet makes mobile health (mHealth) technology a viable tool to prevent and manage diabetes. OBJECTIVE: The objective of this randomized controlled trial is to implement and evaluate the feasibility, cost-effectiveness, and sustainability of a reality television-based lifestyle intervention program. This intervention program is delivered via a mobile phone app (mDiab) to approximately 1500 Android smartphone users who are adults at a high risk for type 2 diabetes from three cities in India, namely, Chennai, Bengaluru, and New Delhi. METHODS: The mDiab intervention would be delivered via a mobile phone app along with weekly coach calls for 12 weeks. Each participant will go through a maintenance phase of 6 to 8 months post intervention. Overall, there would be 3 testing time points in the study: baseline, post intervention, and the end of follow-up. The app will enable individuals to track their weight, physical activity, and diet alongside weekly video lessons on type 2 diabetes prevention. RESULTS: The study outcomes are weight loss (primary measure of effectiveness); improvement in cardiometabolic risk factors (ie, waist circumference, blood pressure, glucose, insulin, and lipids); and improvement in physical activity, quality of life, and dietary habits. Sustainability will be assessed through focus group discussions. CONCLUSIONS: If successful, mDiab can be used as a model for translational and implementation research in the use of mHealth technology for diabetes prevention and may be further expanded for the prevention of other noncommunicable diseases such as hypertension and cardiovascular diseases. TRIAL REGISTRATION: Clinical Trials Registry of India CTRI/2015/07/006011 http://ctri.nic.in/Clinicaltrials/pdf_generate.php? trialid=11841 (Archived by WebCite at http://www.webcitation.org/6urCS5kMB)

Final technical report of the project on gender and migration : negotiating rights; a women’s movement perspective

The project devised a new method for assessing women’s work/employment situations through separation of paid and unpaid work, which has allowed for construction of a picture of female labour migration previously camouflaged in the official data by the dominance of marriage migration. At another level, the project investigated cross-region long distance marriage, to explore factors that determine movement of young brides to distant and different cultural regions. The research shows diverse patterns of migration and how migrant women workers are excluded from a range of citizenship rights: as migrant workers, as migrant women and as migrating citizens