4,361 research outputs found

    Mapping Face Recognition Information Use across Cultures.

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    Face recognition is not rooted in a universal eye movement information-gathering strategy. Western observers favor a local facial feature sampling strategy, whereas Eastern observers prefer sampling face information from a global, central fixation strategy. Yet, the precise qualitative (the diagnostic) and quantitative (the amount) information underlying these cultural perceptual biases in face recognition remains undetermined. To this end, we monitored the eye movements of Western and Eastern observers during a face recognition task, with a novel gaze-contingent technique: the Expanding Spotlight. We used 2° Gaussian apertures centered on the observers' fixations expanding dynamically at a rate of 1° every 25 ms at each fixation - the longer the fixation duration, the larger the aperture size. Identity-specific face information was only displayed within the Gaussian aperture; outside the aperture, an average face template was displayed to facilitate saccade planning. Thus, the Expanding Spotlight simultaneously maps out the facial information span at each fixation location. Data obtained with the Expanding Spotlight technique confirmed that Westerners extract more information from the eye region, whereas Easterners extract more information from the nose region. Interestingly, this quantitative difference was paired with a qualitative disparity. Retinal filters based on spatial-frequency decomposition built from the fixations maps revealed that Westerners used local high-spatial-frequency information sampling, covering all the features critical for effective face recognition (the eyes and the mouth). In contrast, Easterners achieved a similar result by using global low-spatial-frequency information from those facial features. Our data show that the face system flexibly engages into local or global eye movement strategies across cultures, by relying on distinct facial information span and culturally tuned spatially filtered information. Overall, our findings challenge the view of a unique putative process for face recognition

    Commissioning of the ATLAS Pixel Detector

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    The ATLAS pixel detector is a high precision silicon tracking device located closest to the LHC interaction point. It belongs to the first generation of its kind in a hadron collider experiment. It will provide crucial pattern recognition information and will largely determine the ability of ATLAS to precisely track particle trajectories and find secondary vertices. It was the last detector to be installed in ATLAS in June 2007, has been fully connected and tested in-situ during spring and summer 2008. It is currently in a commissioning phase using cosmic-ray events. We present the highlights of the past and future commissioning activities of the ATLAS pixel system.Comment: Poster at ICHEP08, Philadelphia, USA, July 2008. 3 pages, LaTeX, 2 eps figure

    Transfer of molecular recognition information from DNA nanostructures to gold nanoparticles

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    DNA nanotechnology offers unparalleled precision and programmability for the bottom-up organization of materials. This approach relies on pre-assembling a DNA scaffold, typically containing hundreds of different strands, and using it to position functional components. A particularly attractive strategy is to employ DNA nanostructures not as permanent scaffolds, but as transient, reusable templates to transfer essential information to other materials. To our knowledge, this approach, akin to top-down lithography, has not been examined. Here we report a molecular printing strategy that chemically transfers a discrete pattern of DNA strands from a three-dimensional DNA structure to a gold nanoparticle. We show that the particles inherit the DNA sequence configuration encoded in the parent template with high fidelity. This provides control over the number of DNA strands and their relative placement, directionality and sequence asymmetry. Importantly, the nanoparticles produced exhibit the site-specific addressability of DNA nanostructures, and are promising components for energy, information and biomedical applications

    Intercom 1993 August 30

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    Larry King to Open Lecture Series, New Faculty Introduced, Personnel Update, New Employees, Service Recognition, Information Forms Needed, Continuing Education Instructors Sought, Insurance Video Available

    Determinants of Online Purchase Decisions by Online Users

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    This study was focused on evaluating the determinants of online purchase decisions by thoroughly focusing on the key variables such as need recognition, information search, evaluation of alternatives, cost and time efficiency. The study adopted a quantitative approach, and primary data was collected through a survey technique. The respondents were randomly selected based on their likelihood of using the internet to purchase. The need recognition, information search, evaluation of alternatives, cost and time efficiency were regarded as the independent variables of this study; while purchase decision was treated as a dependent variable. Based on the findings of this study, all the proposed hypotheses are proven substantial. The need recognition, information search, evaluation of alternatives, cost and time efficiency have a positive effect on consumers’ online purchase decisions. The internet has been regarded and used as the prime source of information by a wide range of consumers. Therefore, it is recommended that companies should use a customer centric approach that seeks to engage and prioritize customers, and their needs, through the use of the internet and online means. Keywords: Need recognition, Informative search, Evaluation of alternatives ,Cost and time efficiency Online purchase decisions DOI: 10.7176/JMCR/86-04 Publication date:September 30th 2022

    Intercom 1999 October

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    Former Astronaut to Speak, In The Spotlight, New Employees Join UT Tyler, Azerbaijan UT Tyler Professor Teaches Overseas, Presidential, Alumni Scholarships Announced, Publications Available Online Through News Database, Employee Service Recognition, Information Concerning Proposition 17, Teacher Preparation Program Receives Accreditation

    Barriers and Facilitators to Use of a Clinical Evidence Technology in the Management of Skin Problems in Primary Care: Insights from Mixed Methods

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    Objective: Few studies have examined the impact of a single clinical evidence technology (CET) on provider practice or patient outcomes from the provider’s perspective. A previous cluster-randomized controlled trial with patient-reported data tested the effectiveness of a CET (i.e., VisualDx) in improving skin problem outcomes but found no significant effect. The objectives of this follow-up study were to identify barriers and facilitators to the use of the CET from the perspective of primary care providers (PCPs) and to identify reasons why the CET did not affect outcomes in the trial. Methods: Using a convergent mixed methods design, PCPs completed a post-trial survey and participated in interviews about using the CET for the management of patients’ skin problems. Data from both methods were integrated. Results: PCPs found the CET somewhat easy to use but only occasionally useful. Less experienced PCPs used the CET more frequently. Data from interviews revealed barriers and facilitators at four steps of evidence-based practice: clinical question recognition, information acquisition, appraisal of relevance, and application with patients. Facilitators included uncertainty in dermatology, intention for use, convenience of access, diagnosis and treatment support, and patient communication. Barriers included confidence in dermatology, preference for other sources, interface difficulties, presence of irrelevant information, and lack of decision impact. Conclusion: PCPs found the CET useful for diagnosis, treatment support, and patient communication. However, the barriers of interface difficulties, irrelevant search results, and preferred use of other sources limited its positive impact on patient skin problem management

    Інтелектуалізація процесу діагностування онкопатологій

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    Одним із ефективних способів вирішення проблеми боротьби з онкозахворюваннями є інтелектуалізація процесу діагностування. При цитуванні документа, використовуйте посилання http://essuir.sumdu.edu.ua/handle/123456789/31771Under extreme intellectual information technologies, based on the ideas and methods of machine learning and pattern recognition, information is considered an extreme method of recognition of morphological imaging of breast tissue obtained at biopsy. При цитировании документа, используйте ссылку http://essuir.sumdu.edu.ua/handle/123456789/3177
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