Education•London, Southwark, United Kingdom•
About: London Metropolitan University is a education organization based out in London, Southwark, United Kingdom. It is known for research contribution in the topics: Population & Higher education. The organization has 1631 authors who have published 3866 publications receiving 100420 citations. The organization is also known as: London Met.
Papers published on a yearly basis
TL;DR: The generalized additive model for location, scale and shape (GAMLSS) as mentioned in this paper is a general class of statistical models for a univariate response variable, which assumes independent observations of the response variable y given the parameters, the explanatory variables and the values of the random effects.
Abstract: Summary. A general class of statistical models for a univariate response variable is presented which we call the generalized additive model for location, scale and shape (GAMLSS). The model assumes independent observations of the response variable y given the parameters, the explanatory variables and the values of the random effects. The distribution for the response variable in the GAMLSS can be selected from a very general family of distributions including highly skew or kurtotic continuous and discrete distributions. The systematic part of the model is expanded to allow modelling not only of the mean (or location) but also of the other parameters of the distribution of y, as parametric and/or additive nonparametric (smooth) functions of explanatory variables and/or random-effects terms. Maximum (penalized) likelihood estimation is used to fit the (non)parametric models. A Newton–Raphson or Fisher scoring algorithm is used to maximize the (penalized) likelihood. The additive terms in the model are fitted by using a backfitting algorithm. Censored data are easily incorporated into the framework. Five data sets from different fields of application are analysed to emphasize the generality of the GAMLSS class of models.
TL;DR: The concept of habitus lies at the heart of Bourdieu's theoretical framework as discussed by the authors and it is a complex concept that takes many shapes and forms in the author's own writing, even more so in the wider sociological work of other academics.
Abstract: The concept of habitus lies at the heart of Bourdieu's theoretical framework. It is a complex concept that takes many shapes and forms in Bourdieu's own writing, even more so in the wider sociological work of other academics. In the first part of this paper I develop an understanding of habitus, based on Bourdieu's many writings on the concept, that recognizes both its permeability and its ability to capture continuity and change. I also map its relationship to Bourdieu's other concepts, in particular field and cultural capital. In the second part of the paper I examine attempts to operationalize habitus in empirical research in education. I critique the contemporary fashion of overlaying research analyses with Bourdieu's concepts, including habitus, rather than making the concepts work in the context of the data and the research settings. In the final part of the paper I draw on a range of research examples that utilize habitus as a research tool to illustrate how habitus can be made to work in education...
La Trobe University1, Harvard University2, German Cancer Research Center3, Yale University4, Morehouse School of Medicine5, Autonomous University of Barcelona6, University of Massachusetts Medical School7, Semmelweis University8, Cardiff University9, Ikerbasque10, Karolinska Institutet11, Pohang University of Science and Technology12, Allahabad University13, Ghent University14, University of Melbourne15, London Metropolitan University16, Erasmus University Rotterdam17, University of Mainz18, National University of Singapore19, University of Oslo20, University of Gothenburg21, University of Valencia22, Umeå University23, University of Freiburg24, University of Amsterdam25, Utrecht University26, Johns Hopkins University27, Mayo Clinic28, Ohio State University29, University of Cambridge30, University of Zurich31, Curie Institute32, Michigan State University33, Autonomous University of Madrid34, University of Helsinki35, Aalborg University36, University of Louisville37, Carlos III Health Institute38, Centre national de la recherche scientifique39, Heidelberg University40
TL;DR: Vesiclepedia is a community-annotated compendium of molecular data on extracellular vesicles that aims to provide a single authoritative source for information on vesicle structure and function.
Abstract: Extracellular vesicles (EVs) are membraneous vesicles released by a variety of cells into their microenvironment. Recent studies have elucidated the role of EVs in intercellular communication, pathogenesis, drug, vaccine and gene-vector delivery, and as possible reservoirs of biomarkers. These findings have generated immense interest, along with an exponential increase in molecular data pertaining to EVs. Here, we describe Vesiclepedia, a manually curated compendium of molecular data (lipid, RNA, and protein) identified in different classes of EVs from more than 300 independent studies published over the past several years. Even though databases are indispensable resources for the scientific community, recent studies have shown that more than 50% of the databases are not regularly updated. In addition, more than 20% of the database links are inactive. To prevent such database and link decay, we have initiated a continuous community annotation project with the active involvement of EV researchers. The EV research community can set a gold standard in data sharing with Vesiclepedia, which could evolve as a primary resource for the field.
TL;DR: In this article, the causal relationship between carbon dioxide emissions, renewable and nuclear energy consumption and real GDP for the US for the period 1960-2007 was explored, using a modified version of the Granger causality test.
Abstract: This study explores the causal relationship between carbon dioxide (CO2) emissions, renewable and nuclear energy consumption and real GDP for the US for the period 1960–2007. Using a modified version of the Granger causality test, we found a unidirectional causality running from nuclear energy consumption to CO2 emissions without feedback but no causality running from renewable energy to CO2 emissions. The econometric evidence seems to suggest that nuclear energy consumption can help to mitigate CO2 emissions, but so far, renewable energy consumption has not reached a level where it can make a significant contribution to emissions reduction.
TL;DR: To refine the diagnosis of childhood obesity by creating new sex-specific centile curves for body fat and to base these references on a simple and affordable method that could be widely adopted in clinical practice and surveys.
Abstract: Objective: To refine the diagnosis of childhood obesity by creating new sex-specific centile curves for body fat and to base these references on a simple and affordable method that could be widely adopted in clinical practice and surveys. Design: Body fat was measured by bio-impedance in 1985 Caucasian children aged 5-18 years from schools in Southern England. Smoothed centile charts were derived using the LMS method. Results: The new body fat curves reflect the known differences in the development of adiposity between boys and girls. The curves are similar by sex until puberty but then diverge markedly, with males proportionately decreasing body fat and females continuing to gain. These sex differences are not revealed by existing curves based on body mass index. We present charts in which cutoffs to define regions of 'underfat', 'normal', 'overfat' and 'obese' are set at the 2nd, 85th and 95th centiles. These have been designed to yield similar proportions of overweight/overfat and obese children to the IOTF body mass index cutoffs. Conclusions: Direct assessment of adiposity, the component of overweight that leads to pathology, represents a significant advance over body mass index. Our new charts will be published by the Child Growth Foundation for clinical monitoring of body fat, along with the software to convert individual measurements to Z-scores.
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|Michael T. Wilson||67||587||17689|
|Michael A. Crawford||57||281||11220|
|Guglielmo Maria Caporale||55||498||9710|
|Stephen J. Page||54||238||11112|
|Allan M. Williams||51||200||11156|
|Gareth R. Williams||50||266||8974|
|Walter Leal Filho||45||498||9029|
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