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University of York

EducationYork, York, United Kingdom
About: University of York is a education organization based out in York, York, United Kingdom. It is known for research contribution in the topics: Population & Health care. The organization has 22089 authors who have published 56925 publications receiving 2458285 citations. The organization is also known as: York University & Ebor..


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Journal ArticleDOI
TL;DR: Exaggeration of body movement enhanced recognition accuracy and produced higher emotional-intensity ratings, regardless of lighting condition, for movies but to a lesser extent for stills, indicating that intensity judgments of body gestures rely more on movement (or form-from-movement) than static form information.
Abstract: Research on emotion recognition has been dominated by studies of photographs of facial expressions. A full understanding of emotion perception and its neural substrate will require investigations that employ dynamic displays and means of expression other than the face. Our aims were: (i) to develop a set of dynamic and static whole-body expressions of basic emotions for systematic investigations of clinical populations, and for use in functional-imaging studies; (ii) to assess forced-choice emotion-classification performance with these stimuli relative to the results of previous studies; and (iii) to test the hypotheses that more exaggerated whole-body movements would produce (a) more accurate emotion classification and (b) higher ratings of emotional intensity. Ten actors portrayed 5 emotions (anger, disgust, fear, happiness, and sadness) at 3 levels of exaggeration, with their faces covered. Two identical sets of 150 emotion portrayals (full-light and point-light) were created from the same digital footage, along with corresponding static images of the 'peak' of each emotion portrayal. Recognition tasks confirmed previous findings that basic emotions are readily identifiable from body movements, even when static form information is minimised by use of point-light displays, and that full-light and even point-light displays can convey identifiable emotions, though rather less efficiently than dynamic displays. Recognition success differed for individual emotions, corroborating earlier results about the importance of distinguishing differences in movement characteristics for different emotional expressions. The patterns of misclassifications were in keeping with earlier findings on emotional clustering. Exaggeration of body movement (a) enhanced recognition accuracy, especially for the dynamic point-light displays, but notably not for sadness, and (b) produced higher emotional-intensity ratings, regardless of lighting condition, for movies but to a lesser extent for stills, indicating that intensity judgments of body gestures rely more on movement (or form-from-movement) than static form information.

670 citations

Journal ArticleDOI
TL;DR: Findings indicate an urgent need to destigmatize DUD and educate the public, clinicians, and policy makers about its treatment to encourage affected individuals to obtain help.
Abstract: Importance Current information on the prevalence and sociodemographic and clinical profiles of individuals in the general population with DSM-5 drug use disorder (DUD) is limited. Given the present societal and economic context in the United States and the new diagnostic system, up-to-date national information is needed from a single uniform data source. Objective To present nationally representative findings on the prevalence, correlates, psychiatric comorbidity, disability, and treatment of DSM-5 DUD diagnoses overall and by severity level. Design, Setting, and Participants In-person interviews were conducted with 36 309 adults in the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions–III, a cross-sectional representative survey of the United States. The household response rate was 72%; person-level response rate, 84%; and overall response rate, 60.1%. Data were collected April 2012 through June 2013 and analyzed from February through March 2015. Main Outcomes and Measures Twelve-month and lifetime DUD, based on amphetamine, cannabis, club drug, cocaine, hallucinogen, heroin, nonheroin opioid, sedative/tranquilizer, and/or solvent/inhalant use disorders. Results Prevalences of 12-month and lifetime DUD were 3.9% and 9.9%, respectively. Drug use disorder was generally greater among men, white and Native American individuals, younger and previously or never married adults, those with lower education and income, and those residing in the West. Significant associations were found between 12-month and lifetime DUD and other substance use disorders. Significant associations were also found between any 12-month DUD and major depressive disorder (odds ratio [OR], 1.3; 95% CI, 1.09-1.64), dysthymia (OR, 1.5; 95% CI, 1.09-2.02), bipolar I (OR, 1.5; 95% CI, 1.06-2.05), posttraumatic stress disorder (OR, 1.6; 95% CI, 1.27-2.10), and antisocial (OR, 1.4; 95% CI, 1.11-1.75), borderline (OR, 1.8; 95% CI, 1.41-2.24), and schizotypal (OR, 1.5; 95% CI, 1.18-1.87) personality disorders. Similar associations were found for any lifetime DUD with the exception that lifetime DUD was also associated with generalized anxiety disorder (OR, 1.3; 95% CI, 1.06-1.49), panic disorder (OR, 1.3; 95% CI, 1.06-1.59), and social phobia (OR, 1.3; 95% CI, 1.09-1.64). Twelve-month DUD was associated with significant disability, increasing with DUD severity. Among respondents with 12-month and lifetime DUD, only 13.5% and 24.6% received treatment, respectively. Conclusions and Relevance DSM-5 DUD is a common, highly comorbid, and disabling disorder that largely goes untreated in the United States. These findings indicate the need for additional studies to understand the broad relationships in more detail; estimate present-day economic costs of DUDs; investigate hypotheses regarding etiology, chronicity, and treatment use; and provide information to policy makers about allocation of resources for service delivery and research. Findings also indicate an urgent need to destigmatize DUD and educate the public, clinicians, and policy makers about its treatment to encourage affected individuals to obtain help.

669 citations

Journal ArticleDOI
TL;DR: Two new iterative algorithms to register a range scan to a previous scan so as to compute relative robot positions in an unknown environment, that avoid the above problems.
Abstract: A mobile robot exploring an unknown environment has no absolute frame of reference for its position, other than features it detects through its sensors. Using distinguishable landmarks is one possible approach, but it requires solving the object recognition problem. In particular, when the robot uses two-dimensional laser range scans for localization, it is difficult to accurately detect and localize landmarks in the environment (such as corners and occlusions) from the range scans. In this paper, we develop two new iterative algorithms to register a range scan to a previous scan so as to compute relative robot positions in an unknown environment, that avoid the above problems. The first algorithm is based on matching data points with tangent directions in two scans and minimizing a distance function in order to solve the displacement between the scans. The second algorithm establishes correspondences between points in the two scans and then solves the point-to-point least-squares problem to compute the relative pose of the two scans. Our methods work in curved environments and can handle partial occlusions by rejecting outliers.

669 citations

Journal ArticleDOI
TL;DR: In this article, a detailed analysis of the structural properties of the mother of pearl is presented, and it is concluded that the precise geometric arrangement of the plates of the nacre is the most important property of the material and may make it less suitable for shells that must be built quickly.
Abstract: Mother of pearl, or nacre, is one of a number of characteristic skeletal structures of molluscs, occurring in cephalopods, gastropods and bivalves. It consists of plates of aragonite, about 0.3 $\mu $m thick, arranged in sheets, with a tenuous protein matrix. Mechanical tests of nacre from all three classes show that it has a tensile strength of between 35 and 110 MN m$^{-2}$. It is slightly viscoelastic, and shows marked, though not extensive, plastic deformation. The maximum measured strain was 0.018. While undergoing plastic deformation the material shows considerable optical changes. The regions where plastic flow is occurring show 'tension lines', probably equivalent to similar lines in bone. These are probably caused by voids forming in the protein matrix. The work of fracture is very different in different loading directions, being about 1.65 $\times $ 10$^{3}$ J m$^{-2}$ when fractured across the grain, and 1.5 $\times $ 10$^{2}$ J m$^{-2}$ when fractured along it. Nacre shows considerable ability to stop cracks. An attempt is made to explain qualitatively the mechanical behaviour of nacre in terms of its submicroscopic structure. It is concluded that the precise geometric arrangement of the plates is most important, and that this constraint may make nacre less suitable for shells that must be built quickly.

666 citations

Journal ArticleDOI
TL;DR: Using the knee joints of New Zealand White rabbits, a baseline study was made to determine the intrinsic capability of cartilage for healing defects that do not fracture the subchondral plate and the effect of autologous chondrocytes grown in vitro on the healing rate of these defects.

666 citations


Authors

Showing all 22432 results

NameH-indexPapersCitations
Cyrus Cooper2041869206782
Eric R. Kandel184603113560
Ian J. Deary1661795114161
Elio Riboli1581136110499
Claude Bouchard1531076115307
Robert Plomin151110488588
Kevin J. Gaston15075085635
John R. Hodges14981282709
Myrna M. Weissman149772108259
Jeffrey A. Lieberman14570685306
Howard L. Weiner144104791424
Dan J. Stein1421727132718
Jedd D. Wolchok140713123336
Bernard Henrissat139593100002
Joseph E. LeDoux13947891500
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023185
2022466
20213,259
20203,377
20193,032
20182,810