To send content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about sending content to .
To send content items to your Kindle, first ensure firstname.lastname@example.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about sending to your Kindle.
Note you can select to send to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
We found that star-forming regions in extended ultraviolet (XUV) disks are generally consistent with the molecular-hydrogen Kennicutt-Schmidt law that applies within the inner, optical disk. This is true for star formation rates based on Hα + 24 μm data or FUV + 24 μm data. We estimated that the star-forming regions have ages of 1 − 7 Myr and propose that the presence or absence of molecular gas provides an additional “clock” that may help distinguish between aging and stochasticity as the explanation for the low Hα-to-FUV flux ratios in XUV disks. This contribution is a summary of the work originally presented in Watson et al. (2016).
This book provides an overview of the research related to psychological assessment across South Africa. The thirty-six chapters provide a combination of psychometric theory and practical assessment applications in order to combine the currently disparate research that has been conducted locally in this field. Existing South African texts on psychological assessment are predominantly academic textbooks that explain psychometric theory and provide brief descriptions of a few testing instruments. Psychological Assessment in South Africa provides in-depth coverage of a range of areas within the broad field of psychological assessment, including research conducted with various psychological instruments. The chapters critically interrogate the current Eurocentric and Western cultural hegemonic practices that dominate the field of psychological assessment. The book therefore has the potential to function both as an academic text for graduate students, as well as a specialist resource for professionals, including psychologists, psychometrists, remedial teachers and human resource practitioners.
This cross-sectional study seeks to (a) describe developmental correlates of sensory hyporesponsiveness to social and nonsocial stimuli, (b) determine whether hyporesponsiveness is generalized across contexts in children with autism relative to controls, and (c) test the associations between hyporesponsiveness and social communication outcomes. Three groups of children ages 11–105 months (N = 178; autism = 63, developmental delay = 47, typical development = 68) are given developmental and sensory measures including a behavioral orienting task (the Sensory Processing Assessment). Lab measures are significantly correlated with parental reports of sensory hyporesponsiveness. Censored regression models show that hyporesponsiveness decreased across groups with increasing mental age (MA). Group differences are significant but depend upon two-way interactions with MA and context (social and nonsocial). At a very young MA (e.g., 6 months), the autism group demonstrates more hyporesponsiveness to social and nonsocial stimuli (with larger effects for social) than developmental delay and typically developing groups, but at an older MA (e.g., 60 months) there are no significant differences. Hyporesponsiveness to social and nonsocial stimuli predicts lower levels of joint attention and language in children with autism. Generalized processes in attention disengagement and behavioral orienting may have relevance for identifying early risk factors of autism and for facilitating learning across contexts to support the development of joint attention and language.
We present results from infrared spectroscopic projects that aim to test the relation between the mass of a black hole MBH and the velocity dispersion of the stars in its host-galaxy bulge. We demonstrate that near-infrared, high-resolution spectroscopy assisted by adaptive optics is key in populating the high-luminosity end of the relation. We show that the velocity dispersions of mid-infrared, high-ionization lines originating from gas in the narrow-line region of the active galactic nucleus follow the same relation. This result provides a way of inferring MBH estimates for the cosmologically significant population of obscured, type 2 AGN that can be applicable to data from spectrographs on next-generation infrared telescopes.
The post-genomic technologies are generating vast quantities of data but many nutritional scientists are not trained or equipped to analyse it. In high-resolution NMR spectra of urine, for example, the number and complexity of spectral features mean that computational techniques are required to interrogate and display the data in a manner intelligible to the researcher. In addition, there are often multiple underlying biological factors influencing the data and it is difficult to pinpoint which are having the most significant effect. This is especially true in nutritional studies, where small variations in diet can trigger multiple changes in gene expression and metabolite concentration. One class of computational tools that are useful for analysing this highly multivariate data include the well-known ‘whole spectrum’ methods of principal component analysis and partial least squares. In this work, we present a nutritional case study in which NMR data generated from a human dietary Cu intervention study is analysed using multivariate methods and the advantages and disadvantages of each technique are discussed. It is concluded that an alternative approach, called feature subset selection, will be important in this type of work; here we have used a genetic algorithm to identify the small peaks (arising from metabolites of low concentration) that have been altered significantly following a dietary intervention.
LuAnn Wilkerson, Senior Associate Dean for Medical Education David Geffen School of Medicine at UCLA; Director of the Center for Educational Development and Research David Geffen School of Medicine at UCLA,
J. Michael McCoy, Chief Information Officer UCLA Healthcare; Senior Associate Director UCLA Medical Center; Associate Dean David Geffen School of Medicine at UCLA,
Linda Watson, Associate Dean University of Virginia School of Medicine; Director Claude Moore Health Sciences Library, University of Virginia,
Sherrilynne Fuller, Professor of Biomedical and Health Informatics University of Washington School of Medicine; Director of Health Sciences Libraries University of Washington Health Sciences Center
Enabled by technological developments and accompanied by an economy undergoing fundamental changes, the knowledge age has arrived. Its impact is already evident in the nature, scope, and pace of competition among businesses, work of individuals, and expectations of the public. As this new era unfolds, organizations are assuming new roles, acquiring new capabilities, developing new business models, and interacting with consumers in different ways. Simultaneously, a flood of advances in the ability to preserve health and treat disease is creating exciting prospects and greater challenges for health care organizations and professionals and their patients.
At first glance it might appear that as institutions with a strong tradition of discovering and sharing knowledge, academic health centers (AHCs) would automatically become leaders of the health domain within the emerging knowledge economy. In fact, however, this leadership position is not assured. Academic health centers have been surpassed by other industries in the practices used to manage and leverage knowledge. They face growing competition in the discovery of new knowledge and are being challenged for the role of preferred source of health knowledge. Moreover, they must update their educational models for effectiveness in the digital era. Thus, AHCs need to attend to their organizational knowledge capabilities and to their role in the future health care environment.
Academic health center leaders face the pressing and pivotal question of how to position their organizations for future success.
Cerebral palsy (CP) can occur in term infants with or without preceding newborn encephalopathy. We compared the type and severity of CP and associated disability in these two groups. Participants from a population-based case-control study of term newborn encephalopathy were followed up for 6 years and linked to the Western Australian Cerebral Palsy Register. The remaining term infants with CP for the same period were also identified from the Cerebral Palsy Register. 13% of neonatal survivors of term newborn encephalopathy had CP, a rate of 116 per 1000 term live births. Overall, 24% of term infants with CP followed newborn encephalopathy. CP following newborn encephalopathy was more likely to: affect males (72% vs 56%); be severe (47% vs 25%); and be of spastic quadriplegia or dyskinetic types. Cognitive impairment was more common (75% vs 43%) and severe (41% vs 16%), as was epilepsy (53% vs 29%) in survivors of encephalopathy. These children were also more likely to: be non-verbal (47% vs 22%); have a severe composite disability score (47% vs 26%); and die between time of diagnosis of CP and age 6 years (5-year cumulative mortality 19% vs 5%). Children born at term who develop CP following newborn encephalopathy have a poorer prognosis than those with CP who were not encephalopathic in the first week of life.