1,230 research outputs found
An assessment of prospective memory retrieval in women with chronic fatigue syndrome using a virtual-reality environment: an initial study
People with chronic fatigue syndrome (CFS) have increased rates of depression, anxiety, and illness intrusiveness;
they may also suffer from cognitive problems such as retrospective memory (RM) deficits and concentration
difficulties that can stem from diminished information-processing capability. We predicted that this
diminished capacity may also lead to deficits in other cognitive functions, such as prospective memory (ProM).
Event-, time-, and activity-based ProM was assessed in 11 women with CFS and 12 healthy women using a
computer-generated virtual environment (VE). RM was assessed using a free-recall test, and subjective assessment
of both ProM and RM was assessed by questionnaire. Groups were equivalent in age and measures of IQ.
People with CFS performed slightly worse than healthy controls on both the event- and time-based ProM
measures, although these were not statistically significant. However, the CFS group performed significantly
worse than the healthy controls on both the free recall-task and on subjective assessment of both RM and ProM.
Women with CFS do have some subtle decrements in memory, particularly RM. However, it is possible that the
decrements found in the present sample would be greater in real life. Further studies utilizing both healthy
controls and illness controls are now needed to ascertain how sensitive the VE measure is and to inform the
development of tasks in the VE that place progressively increasing demands on working memory capacity
Flooding Fragility Model Development Using Bayesian Regression
Traditional component pass/fail design analysis and testing protocol drives excessively conservative operating limits and setpoints as well as unnecessarily large margins of safety. Component performance testing coupled with failure probability model development can support selection of more flexible operating limits and setpoints as well as softening defense-in-depth elements. This chapter discuses the process of Bayesian regression fragility model development using Markov Chain Monte Carlo methods and model checking protocol using three types of Bayesian p-values. The chapter also discusses application of the model development and testing techniques through component flooding performance experiments associated with industrial steel doors being subjected to a rising water scenario. These component tests yield the necessary data for fragility model development while providing insight into development of testing protocol that will yield meaningful data for fragility model development. Finally, the chapter discusses development and selection of a fragility model for industrial steel door performance when subjected to a water-rising scenario
The dust-to-gas mass ratio of luminous galaxies as a function of their metallicity at cosmic noon
We aim to quantify the relation between the dust-to-gas (DTG) mass ratio and
gas-phase metallicity of 2.1-2.5 luminous galaxies and contrast this
high-redshift relation against analogous constraints at 0. We present a
sample of 10 star-forming main-sequence galaxies in the redshift range
with rest-optical emission-line information available from the
MOSDEF survey and with ALMA 1.2 millimeter and CO J3--2 follow-up
observations. The galaxies have stellar masses ranging from to
and cover a range in star-formation rate from 35 to
145 . We calculate the gas-phase oxygen abundance
of these galaxies from rest-optical nebular emission lines (8.4 < , corresponding to 0.5-1.25 Z). We estimate the
dust and H2 masses (using a metallicity dependent CO-to-H2 conversion factor)
of the galaxies from the 1.2 mm and CO J3-2 observations, respectively, from
which we estimate a DTG. We find that the galaxies in this sample follow the
earlier observed trends between CO line luminosity and dust-continuum
luminosity from to , extending such trends to fainter galaxies at
than observed to date. We find no second-order metallicity
dependence in the CO - dust-continuum luminosity relation for the galaxies
presented in this work. The DTG of main-sequence galaxies at are
consistent with an increase in DTG with gas-phase metallicity. Galaxies at
2.1-2.5 are furthermore consistent with the DTG-metallicity relation found
at 0, providing relevant constraints for galaxy formation models. These
results furthermore imply that the metallicity of galaxies should be taken into
account when estimating cold-gas masses from dust-continuum emission,
especially relevant when studying metal-poor low-mass or high-redshift
galaxies. [abridged]Comment: Submitted to A&A, 7 pages. Figure 4 is the key figur
Exile Anthology: A Special Sesquicentennial Issue
Horses by Deborah S. Appleton 1
Man and His World by Clark Baise 2-11
South Dakota, Route 34 by Bonnie Bishop 12
Heads and Tails by Tim Cockey 13-17
When The Bough Breaks by Alison Orleans Conte 17
Poem by Christine Cooper (Oosterbaan) 18
Flood on the Jemez by Doug Cox 19
San Antonia Canyon by Doug Cox 19
Canyon Poems by Doug Cox 19
Busy Being Born by Lindrith Davies 20-26
The Queen is Dead, Long Life The Queen by James Funaro 27
The Gates of Hell by James Funaro 28
What The Chorus Said by James Funaro 28
Coronado by James Gallant 29-35
The End Of Art by Dianne L. Goss 35
Visiting Relatives by Cynthia Hohn 36-38
Swinging by Kathy Kerchner 39
The Big House by Kim McMullen 40-47
Seasons by Dan Pancake 48
Basho\u27s Road by D. Patnode 49
Back Home by D. Patnode 49
Basket Charm by Angela Peckenpaugh 50
There Is something by Deborah Pope 51
Twilight Loneliness by Robert Smyth 52
Molting by Robert Smyth 52
Parkman by Mary S. Treco 53
The Guest by Dennis Trudell 54
The Wormwood Review by Dennis Trudell 55
Milkweed by Bonnie L. Verburg 56
Orion Falling by Lawrence Weber 57
Third by Lawrence Weber 58
Cover Drawing: Kim Fleishma
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Making sense of evidence in management decisions: the role of research-based knowledge on innovation adoption and implementation in healthcare. study protocol
<p>Abstract</p> <p>Background</p> <p>We know that patient care can be improved by implementing evidence-based innovations and applying research findings linked to good practice. Successfully implementing innovations in complex organisations, such as the UK's National Health Service (NHS), is often challenging as multiple contextual dynamics mediate the process. Research studies have explored the challenges of introducing innovations into healthcare settings and have contributed to a better understanding of why potentially useful innovations are not always implemented in practice, even if backed by strong evidence. Mediating factors include health policy and health system influences, organisational factors, and individual and professional attitudes, including decision makers' perceptions of innovation evidence. There has been limited research on how different forms of evidence are accessed and utilised by organisational decision makers during innovation adoption. We also know little about how diverse healthcare professionals (clinicians, administrators) make sense of evidence and how this collective sensemaking mediates the uptake of innovations.</p> <p>Methods</p> <p>The study will involve nine comparative case study sites of acute care organisations grouped into three regional clusters across England. Each of the purposefully selected sites represents a variety of trust types and organisational contexts. We will use qualitative methods, in-depth interviews, observation of key meetings, and systematic analysis of relevant secondary data to understand the rationale and challenges involved in sourcing and utilising innovation evidence in the empirical setting of infection prevention and control. We will use theories of innovation adoption and sensemaking in organisations to interpret the data. The research will provide lessons for the uptake and continuous use of innovations in the English and international health systems.</p> <p>Discussion</p> <p>Unlike most innovation studies, which involve single-level analysis, our study will explore the innovation-adoption process at multiple embedded levels: micro (individual), meso (organisational), and macro (interorganisational). By comparing and contrasting across the nine sites, each with different organisational contexts, local networks, leadership styles, and different innovations considered for adoption, the findings of the study will have wide relevance. The research will produce actionable findings responding to the political and economic need for healthcare organisations to be innovation-ready.</p
The physical scale of the far-infrared emission in the most luminous submillimetre galaxies II: evidence for merger-driven star formation
We present high-resolution 345 GHz interferometric observations of two
extreme luminous (L_{IR}>10^{13} L_sun), submillimetre-selected galaxies (SMGs)
in the COSMOS field with the Submillimeter Array (SMA). Both targets were
previously detected as unresolved point-sources by the SMA in its compact
configuration, also at 345 GHz. These new data, which provide a factor of ~3
improvement in resolution, allow us to measure the physical scale of the
far-infrared in the submillimetre directly. The visibility functions of both
targets show significant evidence for structure on 0.5-1 arcsec scales, which
at z=1.5 translates into a physical scale of 5-8 kpc. Our results are
consistent with the angular and physical scales of two comparably luminous
objects with high-resolution SMA followup, as well as radio continuum and CO
sizes. These relatively compact sizes (<5-10 kpc) argue strongly for
merger-driven starbursts, rather than extended gas-rich disks, as the preferred
channel for forming SMGs. For the most luminous objects, the derived sizes may
also have important physical consequences; under a series of simplifying
assumptions, we find that these two objects in particular are forming stars
close to or at the Eddington limit for a starburst.Comment: 9 pages, 3 Figures, submitted to MNRA
Evaluating the cost implications of integrating SARS-CoV-2 genome sequencing for infection prevention and control investigation of nosocomial transmission within hospitals
OBJECTIVES: The COG-UK hospital-onset COVID-19 infection (HOCI) trial evaluated the impact of SARS-CoV-2 whole genome sequencing (WGS) on acute infection, prevention, and control (IPC) investigation of nosocomial transmission within hospitals. We estimated the cost implications of using the information from the sequencing reporting tool (SRT), used to determine likelihood of nosocomial infection in IPC practice. METHODS: We conducted a micro-costing approach for SARS-CoV-2 WGS. Data on IPC management resource use and costs were collected from interviews with IPC teams from 14 participating sites and used to assign cost estimates for IPC activities as collected in the trial. Activities included IPC specific actions following a suspicion of healthcare-associated infection (HAI) or outbreak, as well as changes to practice following the return of data via SRT. RESULTS: The mean per sample costs of SARS-CoV-2 sequencing was estimated at £77.10 for rapid and £66.94 for longer turnaround phases. Over the 3 months interventional phases, the total management cost of IPC-defined HAIs and outbreak events across the sites was estimated at £225,070 and £416,447, respectively. Main cost drivers were bed-day lost due to wards closures because of outbreaks followed by outbreak meetings and bed-day lost due to cohorting contacts. Actioning SRTs, the cost of HAIs increased by £5,178 due to unidentified cases and the cost of outbreaks lowered by £11,246 as SRTs excluded hospital outbreaks. CONCLUSIONS: Although, SARS-CoV-2 WGS adds to the total IPC management cost, additional information provided could balance out the additional cost, depending on identified design improvements and effective deployment
Search for squarks and gluinos in events with isolated leptons, jets and missing transverse momentum at s√=8 TeV with the ATLAS detector
The results of a search for supersymmetry in final states containing at least one isolated lepton (electron or muon), jets and large missing transverse momentum with the ATLAS detector at the Large Hadron Collider are reported. The search is based on proton-proton collision data at a centre-of-mass energy s√=8 TeV collected in 2012, corresponding to an integrated luminosity of 20 fb−1. No significant excess above the Standard Model expectation is observed. Limits are set on supersymmetric particle masses for various supersymmetric models. Depending on the model, the search excludes gluino masses up to 1.32 TeV and squark masses up to 840 GeV. Limits are also set on the parameters of a minimal universal extra dimension model, excluding a compactification radius of 1/R c = 950 GeV for a cut-off scale times radius (ΛR c) of approximately 30
Measurements of fiducial and differential cross sections for Higgs boson production in the diphoton decay channel at s√=8 TeV with ATLAS
Measurements of fiducial and differential cross sections are presented for Higgs boson production in proton-proton collisions at a centre-of-mass energy of s√=8 TeV. The analysis is performed in the H → γγ decay channel using 20.3 fb−1 of data recorded by the ATLAS experiment at the CERN Large Hadron Collider. The signal is extracted using a fit to the diphoton invariant mass spectrum assuming that the width of the resonance is much smaller than the experimental resolution. The signal yields are corrected for the effects of detector inefficiency and resolution. The pp → H → γγ fiducial cross section is measured to be 43.2 ±9.4(stat.) − 2.9 + 3.2 (syst.) ±1.2(lumi)fb for a Higgs boson of mass 125.4GeV decaying to two isolated photons that have transverse momentum greater than 35% and 25% of the diphoton invariant mass and each with absolute pseudorapidity less than 2.37. Four additional fiducial cross sections and two cross-section limits are presented in phase space regions that test the theoretical modelling of different Higgs boson production mechanisms, or are sensitive to physics beyond the Standard Model. Differential cross sections are also presented, as a function of variables related to the diphoton kinematics and the jet activity produced in the Higgs boson events. The observed spectra are statistically limited but broadly in line with the theoretical expectations
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