Applications of Face Analysis and Modeling in Media Production

Facial expressions play an important role in day-by-day communication as well as media production. This article surveys automatic facial analysis and modeling methods using computer vision techniques and their applications for media production. The authors give a brief overview of the psychology of face perception and then describe some of the applications of computer vision and pattern recognition applied to face recognition in media production. This article also covers the automatic generation of face models, which are used in movie and TV productions for special effects in order to manipulate people's faces or combine real actors with computer graphics

Of kings and kin : bayit and the dynastic family of David

https://place.asburyseminary.edu/ecommonsatsdissertations/2161/thumbnail.jp

Applications of face analysis and modelling in media production:Overview of the state of the art

Facial expressions play an important role in day-by-day communication as well as media production. This article surveys automatic facial analysis and modeling methods using computer vision techniques and their applications for media production. The authors give a brief overview of the psychology of face perception and then describe some of the applications of computer vision and pattern recognition applied to face recognition in media production. This article also covers the automatic generation of face models, which are used in movie and TV productions for special effects in order to manipulate people's faces or combine real actors with computer graphics

Beyond adoption: A new framework for theorising and evaluating Non-adoption, Abandonment and challenges to Scale-up, Spread and Sustainability (NASSS) of health and care technologies

© 2017 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.Background: Many promising technological innovations in health and social care are characterized by nonadoption or abandonment by individuals or by failed attempts to scale up locally, spread distantly, or sustain the innovation long term at the organization or system level. Objective: Our objective was to produce an evidence-based, theory-informed, and pragmatic framework to help predict and evaluate the success of a technology-supported health or social care program. Methods: The study had 2 parallel components: (1) secondary research (hermeneutic systematic review) to identify key domains, and (2) empirical case studies of technology implementation to explore, test, and refine these domains. We studied 6 technology-supported programs—video outpatient consultations, global positioning system tracking for cognitive impairment, pendant alarm services, remote biomarker monitoring for heart failure, care organizing software, and integrated case management via data sharing—using longitudinal ethnography and action research for up to 3 years across more than 20 organizations. Data were collected at micro level (individual technology users), meso level (organizational processes and systems), and macro level (national policy and wider context). Analysis and synthesis was aided by sociotechnically informed theories of individual, organizational, and system change. The draft framework was shared with colleagues who were introducing or evaluating other technology-supported health or care programs and refined in response to feedback. Results: The literature review identified 28 previous technology implementation frameworks, of which 14 had taken a dynamic systems approach (including 2 integrative reviews of previous work). Our empirical dataset consisted of over 400 hours of ethnographic observation, 165 semistructured interviews, and 200 documents. The final nonadoption, abandonment, scale-up, spread, and sustainability (NASSS) framework included questions in 7 domains: the condition or illness, the technology, the value proposition, the adopter system (comprising professional staff, patient, and lay caregivers), the organization(s), the wider (institutional and societal) context, and the interaction and mutual adaptation between all these domains over time. Our empirical case studies raised a variety of challenges across all 7 domains, each classified as simple (straightforward, predictable, few components), complicated (multiple interacting components or issues), or complex (dynamic, unpredictable, not easily disaggregated into constituent components). Programs characterized by complicatedness proved difficult but not impossible to implement. Those characterized by complexity in multiple NASSS domains rarely, if ever, became mainstreamed. The framework showed promise when applied (both prospectively and retrospectively) to other programs.Peer reviewe

Measuring Multimorbidity

Multimorbidity is common. The gaps in multimorbidity research are in the measurement of the prevalence, the levels of multimorbidity and its associated outcomes. This thesis aimed to provide a uniform definition for multimorbidity, identify instruments for measuring the level of multimorbidity, and describe patient-reported outcomes for different levels of multimorbidity. Three studies were conducted. The first determined the prevalence rates of multimorbidity and explored whether there were differences among the different age, gender and ethnic groups in the primary care population. Common dyads and triads of conditions were described. The systematic review updated the list of instruments for measuring the level of multimorbidity for community-dwelling adults. The third study determined the association of different levels of multimorbidity with depression, anxiety and quality of life. The agreement between patients’ self-reported conditions and conditions recorded in their electronic medical records (EMR) were reported. Increasing age was associated with a higher prevalence of multimorbidity. The commonest dyad was hyperlipidaemia/hypertension, and triad was hyperlipidaemia/hypertension/diabetes. Disease count and weighted indices were the most commonly used instruments for measuring the level of multimorbidity. Self-reported disease count was positively associated with depression and anxiety, and negatively associated with quality of life. Stroke was the only condition that showed substantial agreement between patients’ self-reported medical conditions and the EMR. We identified a practical definition of multimorbidity in the Singapore primary care population, described the commonly used instruments for measuring the level of multimorbidity, and reported the disparity of multimorbidity outcomes between patients’ self-reported chronic conditions and EMR

SE12 p33,34,35,36,37 Fried

Synopsis The transverse lateral load capacity of masonry built using solid dense concrete blocks with thin joint mortar is up to 4.0 times that of similar blockwork constructed using conventional mortar. Both the mortar properties and the constituents of the parent material forming the block alter the joint strength resulting in enhancements to tensile flexural bond strength. Testing on two block types and one mortar has been undertaken and verifies the trend. Essentially when thin joint technology is employed, in conjunction with solid dense concrete blocks, the masonry behaves more as a concrete plate than conventional blockwork