220 research outputs found
Digital Mental Health and Social Connectedness
A detailed understanding of the mental health needs of people from refugee backgrounds is crucial for the design of inclusive mental health technologies. We present a qualitative account of the digital mental health experiences of women from refugee backgrounds. Working with community members and community workers of a charitable organisation for refugee women in the UK, we identify social and structural challenges, including loneliness and access to mental health technologies. Participants' accounts document their collective agency in addressing these challenges and supporting social connectedness and personal wellbeing in daily life: participants reported taking part in community activities as volunteers, sharing technological expertise, and using a wide range of non-mental health-focused technologies to support their mental health, from playing games to supporting religious practices. Our findings suggest that, rather than focusing only on individual self-care, research also needs to leverage community-driven approaches to foster social mental health experiences, from altruism to connectedness and belonging
Gaussia luciferase as a reporter for quorum sensing in staphylococcus aureus
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Gaussia luciferase (GLuc) is a secreted protein with significant potential for use as a reporter of gene expression in bacterial pathogenicity studies. To date there are relatively few examples of its use in bacteriology. In this study we show that GLuc can be functionally expressed in the human pathogen Staphylococcus aureus and furthermore show that it can be used as a biosensor for the agr quorum sensing (QS) system which employs autoinducing peptides to control virulence. GLuc was linked to the P3 promoter of the S. aureus agr operon. Biosensor strains were validated by evaluation of chemical agent-mediated activation and inhibition of agr. Use of GLuc enabled quantitative assessment of agr activity. This demonstrates the utility of Gaussia luciferase for in vitro monitoring of agr activation and inhibition
Two 100 Mpc-scale structures in the 3-D distribution of radio galaxies and their implications
We present unequivocal evidence for a huge (~80 x 100 x 100 Mpc^3)
super-structure at redshift z=0.27 in the 3-D distribution of radio galaxies
from the TONS08 sample, confirming tentative evidence for such a structure from
the 7C redshift survey (7CRS). A second, newly discovered super-structure is
also less securely found at redshift 0.35 (of dimensions ~100 x 100 x 100
Mpc^3). We present full observational details on the TONS08 sample which was
constructed to probe structures in the redshift range 0 < z < 0.5 by matching
NVSS sources with objects in APM catalogues to obtain a sample of optically
bright (E ~ R 3 mJy) radio
galaxies in the same 25 deg^2 area as part-II of the 7CRS. Out of the total
sample size of 84 radio galaxies, at least 25 are associated with the two ~100
Mpc-scale super-structures. We use quasi-linear structure formation theory to
estimate the number of such structures expected in the TONS08 volume if the
canonical value for radio galaxy bias is assumed. Under this assumption, the
structures represent ~ 4-5 sigma peaks in the primordial density field and
their expected number is low (~10^-2 - 10^-4). Fortunately, there are several
plausible explanations (many of which are testable) for these low probabilities
in the form of potential mechanisms for boosting the bias on large scales.
These include: the association of radio galaxies with highly biased rich
clusters in super-structures, enhanced triggering by group/group mergers, and
enhanced triggering and/or redshift space distortion in collapsing systems as
the growth of super-structures moves into the non-linear regime (abridged).Comment: Accepted for publication in MNRAS. 26 pages,16 figures. spectra can
be found in: http://www-astro.physics.ox.ac.uk/~brand/08_paper.ps.g
Approaches to developing tolerance and error budget for active three mirror anastigmat space telescopes
The size of the optics used in observatories is often limited by fabrication,
metrology, and handling technology, but having a large primary mirror provides
significant benefits for scientific research. The evolution of rocket launch
options enables heavy payload carrying on orbit and outstretching the
telescope's form-factor choices. Moreover, cost per launch is lower than the
traditional flight method, which is obviously advantageous for various novel
space observatory concepts. The University of Arizona has successfully
fabricated many large-scale primary optics for ground-based observatories
including the Large Binocular Telescope (LBT, 8.4 meter diameter two primary
mirrors), Large Synoptic Survey Telescope (now renamed to Vera C. Rubin
Observatory, 8.4 meter diameter monolithic primary and tertiary mirror), and
the Giant Magellan Telescope (GMT, 8.4 meter diameter primary mirror seven
segments). Launching a monolithic primary mirror into space could bypass many
of the difficulties encountered during the assembly and deployment of the
segmented primary mirrors. However, it might bring up unprecedented challenges
and hurdles, also. We explore and foresee the expected challenges and evaluate
them. To estimate the tolerance and optical error budget of a large optical
system in space such as three mirror anastigmat telescope, we have developed a
methodology that considers various errors from design, fabrication, assembly,
and environmental factors.Comment: 6 pages, presented August 2023 at SPIE Optics+Photonics, San Diego,
CA, US
Explanation before Adoption: Supporting Informed Consent for Complex Machine Learning and IoT Health Platforms
Explaining health technology platforms to non-technical members of the public is an important part of the process of informed consent. Complex technology platforms that deal with safety-critical areas are particularly challenging, often operating within private domains (e.g. health services within the home) and used by individuals with various understandings of hardware, software, and algorithmic design. Through two studies, the first an interview and the second an observational study, we questioned how experts (e.g. those who designed, built, and installed a technology platform) supported provision of informed consent by participants. We identify a wide range of tools, techniques, and adaptations used by experts to explain the complex SPHERE sensor-based home health platform, provide implications for the design of tools to aid explanations, suggest opportunities for interactive explanations, present the range of information needed, and indicate future research possibilities in communicating technology platforms
Polarimetric modeling and assessment of science cases for Giant Magellan Telescope-Polarimeter (GMT-Pol)
Polarization observations through the next-generation large telescopes will
be invaluable for exploring the magnetic fields and composition of jets in AGN,
multi-messenger transients follow-up, and understanding interstellar dust and
magnetic fields. The 25m Giant Magellan Telescope (GMT) is one of the
next-generation large telescopes and is expected to have its first light in
2029. The telescope consists of a primary mirror and an adaptive secondary
mirror comprising seven circular segments. The telescope supports instruments
at both Nasmyth as well as Gregorian focus. However, none of the first or
second-generation instruments on GMT has the polarimetric capability. This
paper presents a detailed polarimetric modeling of the GMT for both Gregorian
and folded ports for astronomical B-K filter bands and a field of view of 5 arc
minutes. At 500nm, The instrumental polarization is 0.1% and 3% for the
Gregorian and folded port, respectively. The linear to circular crosstalk is
0.1% and 30% for the Gregorian and folded ports, respectively. The Gregorian
focus gives the GMT a significant competitive advantage over TMT and ELT for
sensitive polarimetry, as these telescopes support instruments only on the
Nasmyth platform. We also discuss a list of polarimetric science cases and
assess science case requirements vs. the modeling results. Finally, we discuss
the possible routes for polarimetry with GMT and show the preliminary optical
design of the GMT polarimeter.Comment: 13 pages, 5 figures,SPIE Optics + Photonics 2023 conference
proceeding, Paper no 12690-2
Development and validation of multivariable clinical diagnostic models to identify type 1 diabetes requiring rapid insulin therapy in adults aged 18-50 years
This is the final version. Available on open access from BMJ Publishing Group via the DOI in this recordObjective:
To develop and validate multivariable clinical diagnostic models to assist
distinguishing between type 1 and type 2 diabetes in adults aged 18 to 50.
Design:
Multivariable logistic regression analysis was used to develop classification models
integrating five pre-specified predictor variables, including clinical features (age of
diagnosis, BMI) and clinical biomarkers (GADA and Islet Antigen 2 islet
autoantibodies, Type 1 Diabetes Genetic Risk Score), to identify type 1 diabetes with
rapid insulin requirement using data from existing cohorts.
Setting:
United Kingdom cohorts recruited from primary and secondary care.
Participants:
1,352 (model development) and 582 (external validation) participants diagnosed with
diabetes between the age of 18 and 50 years of white European origin.
Main outcome measures:
Type 1 diabetes was defined by rapid insulin requirement (within 3 years of
diagnosis) and severe endogenous insulin deficiency (C-peptide <200pmol/L). Type
2 diabetes was defined by either a lack of rapid insulin requirement or, where insulin
treated within 3 years, retained endogenous insulin secretion (C-peptide >600pmol/L
at ≥5 years diabetes duration). Model performance was assessed using area under
the receiver operating characteristic curve (ROC AUC), and internal and external
validation.
4
Results:
Type 1 diabetes was present in 13% of participants in the development cohort. All
five predictor variables were discriminative and independent predictors of type 1
diabetes (p<0.001 for all) with individual ROC AUC ranging from 0.82 to 0.85. Model
performance was high: ROC AUC range 0.90 [95%CI 0.88, 0.93] (clinical features
only) to 0.97 [0.96, 0.98] (all predictors) with low prediction error. Results were
consistent in external validation (clinical features and GADA ROC AUC 0.93 [0.90,
0.96]).
Conclusions:
Clinical diagnostic models integrating clinical features with biomarkers have high
accuracy for identifying type 1 diabetes with rapid insulin requirement, and could
assist clinicians and researchers in accurately identifying patients with type 1
diabetes.National Institute for Health Research (NIHR)European Community FP7Oxford Hospitals Charitable FundWellcome TrustMedical Research Council (MRC
Appetite, appetite hormone and energy intake responses to two consecutive days of aerobic exercise in healthy young men
Single bouts of exercise do not cause compensatory changes in appetite, food intake or appetite regulatory
hormones on the day that exercise is performed. It remains possible that such changes occur over
an extended period or in response to a higher level of energy expenditure. This study sought to test this
possibility by examining appetite, food intake and appetite regulatory hormones (acylated ghrelin, total
peptide-YY, leptin and insulin) over two days, with acute bouts of exercise performed on each morning.
Within a controlled laboratory setting, 15 healthy males completed two, 2-day long (09:00–16:00) experimental
trials (exercise and control) in a randomised order. On the exercise trial participants performed
60 min of continuous moderate-high intensity treadmill running (day one: 70.1 ± 2.5% VO2peak, day two:
70.0 ± 3.2% VO2max (mean ± SD)) at the beginning of days one and two. Across each day appetite perceptions
were assessed using visual analogue scales and appetite regulatory hormones were measured
from venous blood samples. Ad libitum energy and macronutrient intakes were determined from meals
provided two and six hours into each day and from a snack bag provided in-between trial days. Exercise
elicited a high level of energy expenditure (total = 7566 ± 635 kJ across the two days) but did not
produce compensatory changes in appetite or energy intake over two days (control: 29,217 ± 4006 kJ;
exercise: 28,532 ± 3899 kJ, P > 0.050). Two-way repeated measures ANOVA did not reveal any main effects
for acylated ghrelin or leptin (all P > 0.050). However a significant main effect of trial (P = 0.029) for PYY
indicated higher concentrations on the exercise vs. control trial. These findings suggest that across a two
day period, high volume exercise does not stimulate compensatory appetite regulatory changes
The ugrizYJHK luminosity distributions and densities from the combined MGC, SDSS and UKIDSS LAS datasets
We combine data from the MGC, SDSS and UKIDSS LAS surveys to produce
ugrizYJHK luminosity functions and densities from within a common, low redshift
volume (z<0.1, ~71,000 h_1^-3 Mpc^3 for L* systems) with 100 per cent
spectroscopic completeness. In the optical the fitted Schechter functions are
comparable in shape to those previously reported values but with higher
normalisations (typically 0, 30, 20, 15, 5 per cent higher phi*-values in u, g,
r, i, z respectively over those reported by the SDSS team). We attribute these
to differences in the redshift ranges probed, incompleteness, and adopted
normalisation methods. In the NIR we find significantly different Schechter
function parameters (mainly in the M* values) to those previously reported and
attribute this to the improvement in the quality of the imaging data over
previous studies. This is the first homogeneous measurement of the
extragalactic luminosity density which fully samples both the optical and
near-IR regimes. Unlike previous compilations that have noted a discontinuity
between the optical and near-IR regimes our homogeneous dataset shows a smooth
cosmic spectral energy distribution (CSED). After correcting for dust
attenuation we compare our CSED to the expected values based on recent
constraints on the cosmic star-formation history and the initial mass function.Comment: 17 pages, 13 figures, Accepted in MNRAS: 2010 January 18; in original
form 2009 August 1
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