6,378 research outputs found
Perfectionism explains variance in self-defeating behaviors beyond self-criticism: Evidence from a cross-national sample
Does perfectionism predict maladjustment beyond self-criticism? Attention to this key question is needed as some studies suggest perfectionism may not explain variance in maladjustment beyond self-criticism. Using a large cross-national sample of 524 undergraduates (229 Canadian, 295 British), this study examined whether evaluative concerns perfectionism (socially prescribed perfectionism, concern over mistakes, doubts about actions) explained variance in self-defeating behaviors (binge eating, procrastination, interpersonal conflict) after controlling for selfcriticism. Results showed that—after controlling for self-criticism—concern over mistakes predicted binge eating, doubts about actions predicted procrastination, and socially prescribed perfectionism and concern over mistakes predicted interpersonal conflict. Self-criticism also uniquely predicted self-defeating behaviors beyond evaluative concerns perfectionism. The relationships that evaluative concerns perfectionism shows with self-defeating behaviors appear neither redundant with nor fully captured by self-criticism. Results dovetail with theoretical accounts suggesting evaluative concerns perfectionism is a uniquely important part of the personality of people prone to self-defeating behaviors
A Small-Scale Modification to the Lensing Kernel
Calculations of the Cosmic Microwave Background lensing power implemented
into the standard cosmological codes such as CAMB and CLASS usually treat the
surface of last scatter as an infinitely thin screen. However, since the CMB
anisotropies are smoothed out on scales smaller than the diffusion length due
to the effect of Silk damping, the photons which carry information about the
small-scale density distribution come from slightly earlier times than the
standard recombination time. The dominant effect is the scale dependence of the
mean redshift associated with the fluctuations during recombination. We find
that fluctuations at come from a characteristic
redshift of , while fluctuations at
come from a characteristic redshift of . We then estimate the
corrections to the lensing kernel and the related power spectra due to this
effect. We conclude that neglecting it would result in a deviation from the
true value of the lensing kernel at the half percent level at small CMB scales.
For an all-sky, noise-free experiment, this corresponds to a
shift in the observed temperature power spectrum on small scales ().Comment: 5 pages, 5 figure
Contamination of early-type galaxy alignments to galaxy lensing-CMB lensing cross-correlation
Galaxy shapes are subject to distortions due to the tidal field of the
Universe. The cross-correlation of galaxy lensing with the lensing of the
Cosmic Microwave Background (CMB) cannot easily be separated from the
cross-correlation of galaxy intrinsic shapes with CMB lensing. Previous work
suggested that the intrinsic alignment contamination can be of this
cross-spectrum for the CFHT Stripe 82 (CS82) and Atacama Cosmology Telescope
surveys. Here we re-examine these estimates using up-to-date observational
constraints of intrinsic alignments at a redshift more similar to that of CS82
galaxies. We find a contamination of the cross-spectrum from
red galaxies, with uncertainty due to uncertainties in the
redshift distribution of source galaxies and the modelling of the spectral
energy distribution. Blue galaxies are consistent with being unaligned, but
could contaminate the cross-spectrum by an additional within current
confidence levels. While our fiducial estimate of alignment
contamination is similar to previous work, our work suggests that the relevance
of alignments for CMB lensing-galaxy lensing cross-correlation remains largely
unconstrained. Little information is currently available about alignments at
. We consider the upper limiting case where all galaxies are
aligned with the same strength as low redshift luminous red galaxies, finding
as much as contamination.Comment: 11 pages, 3 figures, MNRAS submitte
Comparison of sampling techniques for Bayesian parameter estimation
The posterior probability distribution for a set of model parameters encodes
all that the data have to tell us in the context of a given model; it is the
fundamental quantity for Bayesian parameter estimation. In order to infer the
posterior probability distribution we have to decide how to explore parameter
space. Here we compare three prescriptions for how parameter space is
navigated, discussing their relative merits. We consider Metropolis-Hasting
sampling, nested sampling and affine-invariant ensemble MCMC sampling. We focus
on their performance on toy-model Gaussian likelihoods and on a real-world
cosmological data set. We outline the sampling algorithms themselves and
elaborate on performance diagnostics such as convergence time, scope for
parallelisation, dimensional scaling, requisite tunings and suitability for
non-Gaussian distributions. We find that nested sampling delivers high-fidelity
estimates for posterior statistics at low computational cost, and should be
adopted in favour of Metropolis-Hastings in many cases. Affine-invariant MCMC
is competitive when computing clusters can be utilised for massive
parallelisation. Affine-invariant MCMC and existing extensions to nested
sampling naturally probe multi-modal and curving distributions.Comment: 13 pages, 6 figure
Building bridges for education for sustainability: 2013 Report for the development of education for sustainability through the Monash-Warwick Alliance
This report presents findings from a research project that focused on the potential to expand Education for
Sustainability (EfS) related activities at Monash and Warwick Universities, through the Monash-Warwick Alliance.
It provides details of existing EfS programmes and activities at both universities. It also discusses the level of
enthusiasm for and interest in a combined EfS initiative. Finally, it signposts the future development of EfS at Monash
and Warwick, whilst acknowledging the challenges to innovation. The report is informed by interviews with university
stakeholders, including academics, support staff, senior management and students. Findings are placed within a
wider context through a review of the current EfS literature
Children's access to urban gardens in Norway, India and the United Kingdom
Background: This study investigates access to gardens for children in Norway, India and the
United Kingdom and their respective potentials for sustainability learning. The focus is set upon
the significant variations concerning garden access within these three countries, within the specific
context of urban gardening at a city scale. The article explores three case study cities: Stavanger,
Norway; Mumbai, India; and Cardiff, UK. Previous research has shown that nature and garden
experiences can provide play opportunities, skills and sensuous perceptions that may lead to the
permanent retention of knowledge, and may awaken and unfold the child’s interests.
Material and methods: Conceptualized in theories of situated learning and place-based learning,
each researcher - native and/or living in Norway, UK and India, respectively - has gathered
qualitative data and focused on the phenomena she found to be appropriate for the study of each
respective city. The findings, based on literature studies and the author’s own experiences and
observations, are presented in form of narratives. A phenomenological and hermeneutical
framework and critical inquiry is used to give relevance to the complex interrelations between the
three researcher’s different backgrounds and perspectives.
Results: The narratives elucidate rather different characteristics, practices, activities and values
related to gardens in the three cities, where children interact in multiple ways with various kinds
of garden spaces. Children are typically close to nature in Stavanger, while very small ‘windowsills’
characterize the many childhood interactions with gardens in Mumbai and in Cardiff, children may
have access to both private and public gardens, depending upon their circumstances.
Conclusions: The three perspectives give inspirations for promoting children’s ecology,
sustainability, and intergenerational learning in urban garden spaces
"We were treated like adults" - development of a pre-medicine summer school for 16 year olds from deprived socioeconomic backgrounds: action research study
Objective To develop a one week widening access summer school for 16 year old pupils from, non-traditional backgrounds who are considering applying to medical school, and to identify its short term impact and key success factors.Design Action research with partnership schools tit deprived inner-city areas in five overlapping phases: schools liaison, recruitment of pupils and assessment of needs, programme design, programme delivery, and evaluation. The design phase incorporated findings from one-to-one interviews with every pupil, and workshops and focus groups for pupils, Parents, teachers, medical student assistants, NHS staff, and other stakeholders. An in-depth process evaluation of the summer School was undertaken from the perspective of multiple stakeholders using questionnaires, interviews, focus groups, and observation.Participants 40 pupils aged 16 years from socioeconomically deprived and under-represented ethnic Minority groups.Results The summer school was popular with pupils, parents, teachers, and staff. It substantially raised pupils' confidence and motivation to apply to medical school. Critical success factors were identified as an atmosphere of "respect"; a focus on hands-on work in small groups; the input. of medical students as role models; and vision and leadership from senior staff. A particularly popular and effective aspect Of the course was a grand round held Oil the last clay, in which pupils gave group presentations of real cases.Conclusion An action research format allowed us to draw the different stakeholders into a collaborative endeavour characterised by enthusiasm, interpersonal support, and mutual respect. The input from pupils to the programme design ensured high engagement and low drop-out rates. Hands-on activities in small groups and social drama of preparing and giving a grand round presentation were particularly important
Time-ordered data simulation and map-making for the PIXIE Fourier transform spectrometer
We develop a time-ordered data simulator and map-maker for the proposed PIXIE
Fourier transform spectrometer and use them to investigate the impact of
polarization leakage, imperfect collimation, elliptical beams, sub-pixel
effects, correlated noise and spectrometer mirror jitter on the PIXIE data
analysis. We find that PIXIE is robust to all of these effects, with the
exception of mirror jitter which could become the dominant source of noise in
the experiment if the jitter is not kept significantly below . Source code is available at https://github.com/amaurea/pixie.Comment: 27 pages, 15 figures. Accepted for publication in JCA
CDM or self-interacting neutrinos? - how CMB data can tell the two models apart
Of the many proposed extensions to the CDM paradigm, a model in
which neutrinos self-interact until close to the epoch of matter-radiation
equality has been shown to provide a good fit to current cosmic microwave
background (CMB) data, while at the same time alleviating tensions with
late-time measurements of the expansion rate and matter fluctuation amplitude.
Interestingly, CMB fits to this model either pick out a specific large value of
the neutrino interaction strength, or are consistent with the extremely weak
neutrino interaction found in CDM, resulting in a bimodal posterior
distribution for the neutrino self-interaction cross section. In this paper, we
explore why current cosmological data select this particular large neutrino
self-interaction strength, and by consequence, disfavor intermediate values of
the self-interaction cross section. We show how it is the
CMB temperature anisotropies, most recently measured by the Planck satellite,
that produce this bimodality. We also establish that smaller scale temperature
data, and improved polarization data measuring the temperature-polarization
cross-correlation, will best constrain the neutrino self-interaction strength.
We forecast that the upcoming Simons Observatory should be capable of
distinguishing between the models.Comment: 7 pages, 7 figures, comments welcome, references added, version
submitted to PR
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