2,120 research outputs found
Zwicky Transient Facility and Globular Clusters: The Period-Luminosity and Period-Wesenheit Relations for SX Phoenicis Variables in the gri-Band
SX Phoenicis (SXP) variables are short period pulsating stars that exhibit a
period-luminosity (PL) relation. We derived the gri-band PL and extinction-free
period-Wesenheit (PW) relations, as well as the period-color (PC) and
reddening-free period-Q-index (PQ) relations for 47 SXP stars in located in 21
globular clusters using the optical light curves taken from Zwicky Transient
Facility (ZTF). These empirically relations were derived for the first time in
the gri filters except for the g-band PL relation. We used our gi band PL and
PW relations to derive a distance modulus to Crater II dwarf spheroidal which
hosts one SXP variable. Assuming that the fundamental and first-overtone
pulsation mode for the SXP variable in Crater II, we found distance moduli of
mag and mag, respectively, using the PW
relation, where the latter is in excellent agreement with independent RR Lyrae
based distance to Crater II dwarf galaxy.Comment: 12 pages, 1 Table and 10 Figures; AJ accepte
Infra-red emission line tomography of the intergalactic medium during the Epoch of Reionization
The first major star-forming galaxies and Active Galactic Nuclei will produce
Balmer and higher order extended haloes during the Epoch of Reionization
through the scattering of Lyman resonance line photons off the surrounding
neutral intergalactic gas. The optical depth dependence of the scattering rates
will produce a signal sensitive to both the density and velocity fluctuations
of the gas, offering the possibility of probing the ionization region and flow
field surrounding young star-forming galaxies. The requirements for detecting
the haloes in the infra-red using a space-based telescope are discussed, along
with an assessment of the possibility of detecting the haloes using the Tunable
Filter Imager on the James Webb Space Telescope.Comment: 7 pages, 10 figures. Submitted to MNRA
The Radio Signatures of the First Supernovae
Primordial stars are key to primeval structure formation as the first stellar
components of primeval galaxies, the sources of cosmic chemical enrichment and
likely cosmic reionization, and they possibly gave rise to the supermassive
black holes residing at the centres of galaxies today. While the direct
detection of individual Pop III stars will likely remain beyond reach for
decades to come, we show their supernova remnants may soon be detectable in the
radio. We calculate radio synchrotron signatures between 0.5 - 35 GHz from
hydrodynamical computations of the supernova remnants of Pop III stars in
minihaloes. We find that hypernovae yield the brightest systems, with observed
radio fluxes as high as 1 - 10 muJy. Less energetic Type II supernovae yield
remnants about a factor of 30 dimmer and pair-instability supernova remnants
are dimmer by a factor of more than 10,000. Because of the high gas densities
of the progenitor environments, synchrotron losses severely limit the maximum
emission frequencies, producing a distinctive peaked radio spectrum
distinguishable from normal galactic supernova remnant spectra. Hypernovae
radio remnants should be detectable by existing radio facilities like eVLA and
eMERLIN while Type II supernova remnants will require the Square Kilometre
Array. The number counts of hypernova remnants at z > 20 with fluxes above 1
muJy are expected to be one per hundred square degree field, increasing to a
few per square degree if they form down to z = 10. The detection of a z > 20
Type II supernova remnant brighter than 1 nJy would require a 100 - 200 square
degree field, although only a 1 - 2 square degree field for those forming down
to z = 10. Hypernova and Type II supernova remnants are easily separated from
one another by their light curves, which will enable future surveys to use them
to constrain the initial mass function of Pop III stars.Comment: 12 pages, 9 figures; major revision; to appear in MNRA
Sorting Through Life: Evaluating Patient-Important Measures of Success in a Medication for Opioid Use Disorder (MOUD) Treatment Program
Background: Medication for opioid use disorder (MOUD) is the gold standard treatment for opioid use disorder. Traditionally, success in MOUD treatment is measured in terms of program retention, adherence to MOUD, and abstinence from opioid and other drug use. While clinically meaningful, these metrics may overlook other aspects of the lives of people with opioid use disorder (OUD) and surprisingly do not reflect the diagnostic criteria for OUD.
Methods: Authors identified items for a pilesorting task to identify participant-driven measures of MOUD treatment success through semi-structured interviews. Interviews were transcribed verbatim and coded in Nvivo using directed and conventional content analysis to identify measures related to treatment success and quality of life goals. Participants of a low-threshold MOUD program were recruited and asked to rank identified measures in order of importance to their own lives. Multidimensional scaling (MDS) compared the similarity of items while non-metric MDS in R specified a two-dimensional solution. Descriptive statistics of participant demographics were generated in SPSS.
Results: Sixteen semi-structured interviews were conducted between June and August 2020 in Philadelphia, PA, USA, and 23 measures were identified for a pilesorting activity. These were combined with 6 traditional measures for a total list of 29 items. Data from 28 people were included in pilesorting analysis. Participants identified a combination of traditional and stakeholder-defined recovery goals as highly important, however, we identified discrepancies between the most frequent and highest ranked items within the importance categories. Measures of success for participants in MOUD programs were complex, multi-dimensional, and varied by the individual. However, some key domains such as emotional well-being, decreased drug use, and attendance to basic functioning may have universal importance. The following clusters of importance were identified: emotional well-being, decreased drug use, and human functioning.
Conclusions: Outcomes from this research have practical applications for those working to provide services in MOUD programs. Programs can use aspects of these domains to both provide patient-centered care and to evaluate success. Specifics from the pilesorting results may also inform approaches to collaborative goal setting during treatment
The Project ENABLE Cornerstone Randomized Controlled Trial: Study Protocol for a Lay Navigator-led, Early Palliative Care Coaching Intervention for African American and Rural-dwelling Advanced Cancer Family Caregivers
Background: Family caregivers play a vital, yet stressful role in managing the healthcare needs and optimizing the quality of life of patients with advanced cancer, from the time they are newly diagnosed until end of life. While early telehealth palliative care has been found to effectively support family caregivers, little work has focused on historically under-resourced populations, particularly African American and rural-dwelling individuals. To address this need, we developed and are currently testing Project ENABLE (Educate, Nurture, Advise, Before Life Ends) Cornerstone, a lay navigator-led, early palliative care coaching intervention for family caregivers of African American and rural-dwelling patients with newly diagnosed advanced cancer.Methods: This is a 2-site, single-blind, hybrid type I implementation-effectiveness trial of the Cornerstone intervention versus usual care. Cornerstone is a multicomponent intervention based on Pearlin’s Stress-Health Process Model where African American and/or rural-dwelling family caregivers of patients with newly diagnosed advanced cancer (target sample size = 294 dyads) are paired with a lay navigator coach and receive a series of six, brief 20–60-min telehealth sessions focused on stress management and coping, caregiving skills, getting help, self-care, and preparing for the future/advance care planning. Subsequent to core sessions, caregivers receive monthly follow-up indefinitely until the patient’s death. Caregiver and patient outcomes are collected at baseline and every 12 weeks until the patient’s death (primary outcome: caregiver distress at 24 weeks; secondary outcomes: caregiver: quality of life and burden; patient: distress, quality of life, and healthcare utilization). Implementation costs and the intervention cost effectiveness are also being evaluated.Discussion: Should this intervention demonstrate efficacy, it would yield an implementation-ready model of early palliative care support for under-resourced family caregivers. A key design principle that has centrally informed the Cornerstone intervention is that every caregiving situation is unique and each caregiver faces distinct challenges that cannot be addressed using a one-size-fits all approach. Hence, Cornerstone employs culturally savvy lay navigator coaches who are trained to establish a strong, therapeutic alliance with participants and tailor their coaching to a diverse range of individual circumstances
Developing a real-time electronic symptom monitoring system for patients after discharge following cancer-related surgery
Background: Patients undergoing major cancer surgery frequently require post-acute care for complications and adverse effects. Enhanced recovery after surgery programmes mean that patients are increasingly discharged home earlier. Symptom/complication detection post-discharge is sub-optimal. Systematic patient monitoring post-discharge following surgery may be optimally achieved through routine electronic patient-reported outcome (ePRO) data capture. ePRO systems that employ clinical algorithms to guide management of patients and automatically alert clinicians of clinically-concerning symptoms can improve patient outcomes and decrease hospital admissions. ePRO systems that provide individually-tailored self-management advice and integrate live ePRO data into electronic health records (EHR) may also advance personalised health and patient-centred care. This study aims to develop a hospital EHR-integrated ePRO system to improve detection and management of complications post-discharge following cancer-related surgery.
Methods: The ePRO system was developed in two phases: (1) Development of a web-based ePRO symptom-report from validated European Organisation for Research and Treatment of Cancer (EORTC) questionnaires, clinical opinion and patient interviews, followed by hospital EHR integration; (2) Development of clinical algorithms triggering symptom severity-dependent patient advice and clinician alerts from: (i) prospectively-collected patient-completed ePRO symptom-report data; (ii) stakeholder meetings; (iii) patient interviews. Patient advice was developed from: (i) clinician-patient telephone consultations and patient interviews; (ii) review of hospital patient information leaflets (PIL) and patient support websites.
Results: Phase 1, including interviews with 18 patients, identified 35 symptom-report items. In phase 2, 130/300 (43%) screened patients were eligible. 61 (47%) consented to participate and 59 (97%) provided 444 complete self-reports. Stakeholder meetings (9 clinicians, 1 patient/public representative) and patient interviews (n = 66) refined advice/alert accuracy. 15 telephone consultations, 7 patient interviews and review of 28 PILs and 3 patient support websites identified 4 themes to inform self-management advice. Comparisons between ePRO symptom-report data, telephone consultations and clinical events/outcomes (n = 27 patients) further refined clinical algorithms.
Conclusions: A hospital EHR-integrated ePRO system that alerts clinicians and provides patient self-management advice has been developed to improve the detection and management of problems and complications after discharge following surgery. An ongoing pilot study will inform a multicentre randomised trial to evaluate the effectiveness of the ePRO system compared to usual care
The strength of the association between heterozygosity and probability of interannual local recruitment increases with environmental harshness in blue tits
The extent of inbreeding depression and the magnitude of heterozygosity–fitness correlations (HFC) have been suggested to depend on the environmental context in which they are assayed, but little evidence is available for wild populations. We combine extensive molecular and capture–mark–recapture data from a blue tit (Cyanistes caeruleus) population to (1) analyze the relationship between heterozygosity and probability of interannual adult local recruitment and (2) test whether environmental stress imposed by physiologically suboptimal temperatures and rainfall influence the magnitude of HFC. To address these questions, we used two different arrays of microsatellite markers: 14 loci classified as neutral and 12 loci classified as putatively functional. We found significant relationships between heterozygosity and probability of interannual local recruitment that were most likely explained by variation in genomewide heterozygosity. The strength of the association between heterozygosity and probability of interannual local recruitment was positively associated with annual accumulated precipitation. Annual mean heterozygosity increased over time, which may have resulted from an overall positive selection on heterozygosity over the course of the study period. Finally, neutral and putatively functional loci showed similar trends, but the former had stronger effect sizes and seemed to better reflect genomewide heterozygosity. Overall, our results show that HFC can be context dependent, emphasizing the need to consider the role of environmental heterogeneity as a key factor when exploring the consequences of individual genetic diversity on fitness in natural populations.Peer reviewe
Rainfall during parental care reduces reproductive and survival components of fitness in a passerine bird
Adverse weather conditions during parental care may have direct consequences for offspring production, but longer-term effects on juvenile and parental survival are less well known. We used long-term data on reproductive output, recruitment, and parental survival in northern wheatears (Oenanthe oenanthe) to investigate the effects of rainfall during parental care on fledging success, recruitment success (juvenile survival), and parental survival, and how these effects related to nestling age, breeding time, habitat quality, and parental nest visitation rates. While accounting for effects of temperature, fledging success was negatively related to rainfall (days>10mm) in the second half of the nestling period, with the magnitude of this effect being greater for breeding attempts early in the season. Recruitment success was, however, more sensitive to the number of rain days in the first half of the nestling period. Rainfall effects on parental survival differed between the sexes; males were more sensitive to rain during the nestling period than females. We demonstrate a probable mechanism driving the rainfall effects on reproductive output: Parental nest visitation rates decline with increasing amounts of daily rainfall, with this effect becoming stronger after consecutive rain days. Our study shows that rain during the nestling stage not only relates to fledging success but also has longer-term effects on recruitment and subsequent parental survival. Thus, if we want to understand or predict population responses to future climate change, we need to consider the potential impacts of changing rainfall patterns in addition to temperature, and how these will affect target species' vital rates
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