Recent evidence has shown that face space represents facial identity information using two-pool opponent coding. Here we ask whether the shape of the monotonic neural response functions underlying such coding is linear (i.e. face space codes all equal-sized physical changes with equal sensitivity) or nonlinear (e.g. face space shows greater coding sensitivity around the average face). Using ada...

in this study, the optimization of energy consumption and reduction of greenhouse gas emissions of irrigated lentil production in esfahan province were conducted using data envelopment analysis (dea) method. the used data were collected randomly from 140 lentil producers using a face to face questionnaire method in the cropping season of 2014-2015. based on two dea models of constant returns to...

background: dental carries is a common disease during childhood. parents are directly responsible for the dental health of their and can play important role in preventing oral diseases in children. the aim of this study was to assess knowledge and attitude of mothers on oral health preschool children. methods: a cross - sectional study was conducted in isfahan health centers. 253 mothers of pre...

AIM To determine healthcare resource utilization and the economic burden associated with wet age-related macular degeneration (AMD) in Thailand. METHODS This study included patients diagnosed with wet AMD that were 60 years old or older, and had best corrected visual acuity (BCVA) measured at least two times during the follow-up period. We excluded patients having other eye diseases. Two sepa...

The long term goal of our work is to predict visual confusion matrices from physical measurements. In this paper, four talkers were chosen to record 69 American-English Consonant-Vowel syllables with audio, video, and facial movements captured. During the recording, 20 markers were put on the face and an optical Qualisys system was used to track three-dimensional facial movements. The videotape...

Face recognition has been a fast growing, challenging and interesting area in real-time applications. A large number of face recognition algorithms have been developed for decades. The paper presents novel Haatlet Pyramid based face recognition technique. Here face recognition is done using the image feature set extracted from Haarlets applied on the image at various levels of decomposition. He...

Patient outcomes and cost were compared when home healthcare was delivered by telemedicine or by traditional means for patients receiving skilled nursing care at home. A randomized controlled trial was established using three groups. The first group, control group C, received traditional skilled nursing care at home. The second group, video intervention group V, received traditional skilled nur...

This project aims to evaluate the effect of using web accessible recorded lectures and slides as a supplement to traditional face-to-face teaching for International students. Specifically, we examine whether the use of blended learning has an impact on students’ exam results. In our study, held in accounting classes, we have used traditional teaching methods (lectures and seminars) during the f...

Recently considerable efforts have been dedicated to unconstrained face recognition, which requires to identify faces “in the wild” for a set of images and/or video frames captured without human intervention. Unlike traditional face recognition that compares one-to-one media (either a single image or a video frame) only, we encounter a problem of matching sets with heterogeneous contents contai...