1,088 research outputs found

    Putting the “Joy” in joint attention: affective-gestural synchrony by parents who point for their babies

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    Despite a growing body of work examining the expression of infants’ positive emotion in joint attention contexts, few studies have examined the moment-by-moment dynamics of emotional signaling by adults interacting with babies in these contexts. We invited 73 parents of infants (three fathers) to our laboratory, comprising parent-infant dyads with babies at 6 (n = 15), 9 (n = 15), 12 (n = 15), 15 (n = 14), and 18 (n = 14) months of age. Parents were asked to sit in a chair centered on the long axis of a room and to point to distant dolls (2.5 m) when the dolls were animated, while holding their children in their laps. We found that parents displayed the highest levels of smiling at the same time that they pointed, thus demonstrating affective/referential synchrony in their infant-directed communication. There were no discernable differences in this pattern among parents with children of different ages. Thus, parents spontaneously encapsulated episodes of joint attention with positive emotion

    Examining a Peak-Luminosity/Decline-Rate Relationship for Tidal Disruption Events

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    We compare the luminosity, radius, and temperature evolution of the UV/optical blackbodies for 21 well-observed tidal disruption events (TDEs), 8 of which were discovered by the All-Sky Automated Survey for Supernovae. We find that the blackbody radii generally increase prior to peak and slowly decline at late times. The blackbody temperature evolution is generally flat, with a few objects showing small-scale variations. The bolometric UV/optical luminosities generally evolve smoothly and flatten out at late times. Finally, we find an apparent correlation between the peak luminosity and the decline rate of TDEs. This relationship is strongest when comparing the peak luminosity to its decline over 40 days. A linear fit yields log⁡10(Lpeak)=(44.1−0.1+0.1)+(1.6−0.2+0.4)(ΔL40+0.5)\log_{10}( L_{peak}) = (44.1^{+0.1}_{-0.1}) + (1.6^{+0.4}_{-0.2})(\Delta L_{40} + 0.5) in cgs, where ΔL40=log⁡10(L40/Lpeak)\Delta L_{40} = \log_{10}(L_{40} / L_{peak}).Comment: 10 pages, 4 figures. Updated to reflect changes made in the published ApJL version. Six new objects added to sample. Updated video description can be found at https://youtu.be/TtZU22eyHv

    The KPNO International Spectroscopic Survey. V. H-alpha-selected Survey List 3

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    The KPNO International Spectroscopic Survey (KISS) is an objective-prism survey designed to detect extragalactic emission-line objects. It combines many of the features of previous slitless spectroscopic surveys with the advantages of modern CCD detectors, and is the first purely digital objective-prism survey for emission-line galaxies (ELGs). Here we present the third list of ELG candidates selected from our red spectral data, which cover the wavelength range 6400 to 7200 A. In most cases, the detected emission line is H-alpha. The current survey list covers the region of the NOAO Deep Wide-Field Survey (NDWFS). This survey covers two fields; the first is 3 x 3 degrees square and located at RA = 14h 30m, DEC = 34.5 deg (B1950), the second is 2.3 x 4.0 degrees and centered at RA = 2h 7.5m, DEC = -4.75 deg. A total area of 19.65 deg^2 is covered by the KISS data. A total of 261 candidate emission-line objects have been selected for inclusion in the survey list (13.3 per deg^2). We tabulate accurate coordinates and photometry for each source, as well as estimates of the redshift, emission-line flux and line equivalent width based on measurements of the digital objective-prism spectra. The properties of the KISS ELGs are examined using the available observational data. When combined with the wealth of multi-wavelength data already available for the NDWFS fields, the current list of KISS ELGs should provide a valuable tool for studying star-formation and nuclear activity in galaxies in the local universe.Comment: 18 pages, including 10 figures and 4 tables. Accepted for publication in the December, 2005 A

    Change in Physical Activity and Sitting Time After Myocardial Infarction and Mortality Among Postmenopausal Women in the Women\u27s Health Initiative-Observational Study

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    BACKGROUND: How physical activity (PA) and sitting time may change after first myocardial infarction (MI) and the association with mortality in postmenopausal women is unknown. METHODS AND RESULTS: Participants included postmenopausal women in the Women\u27s Health Initiative-Observational Study, aged 50 to 79 years who experienced a clinical MI during the study. This analysis included 856 women who had adequate data on PA exposure and 533 women for sitting time exposures. Sitting time was self-reported at baseline, year 3, and year 6. Self-reported PA was reported at baseline through year 8. Change in PA and sitting time were calculated as the difference between the cumulative average immediately following MI and the cumulative average immediately preceding MI. The 4 categories of change were: maintained low, decreased, increased, and maintained high. The cut points were \u3e /=7.5 metabolic equivalent of task hours/week versus /=8 h/day versus /day for sitting time. Cox proportional hazard models estimated hazard ratios and 95% CIs for all-cause, coronary heart disease, and cardiovascular disease mortality. Compared with women who maintained low PA (referent), the risk of all-cause mortality was: 0.54 (0.34-0.86) for increased PA and 0.52 (0.36-0.73) for maintained high PA. Women who had pre-MI levels of sitting time /day, every 1 h/day increase in sitting time was associated with a 9% increased risk (hazard ratio=1.09, 95% CI: 1.01, 1.19) of all-cause mortality. CONCLUSIONS: Meeting the recommended PA guidelines pre- and post-MI may have a protective role against mortality in postmenopausal women

    Chandra, HST/STIS, NICER, Swift, and TESS Detail the Flare Evolution of the Repeating Nuclear Transient ASASSN-14ko

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    ASASSN-14ko is a nuclear transient at the center of the AGN ESO 253-G003 that undergoes periodic flares. Optical flares were first observed in 2014 by the All-Sky Automated Survey for Supernovae (ASAS-SN) and their peak times are well-modeled with a period of 115.2−1.2+1.3115.2^{+1.3}_{-1.2} days and period derivative of −0.0026±0.0006-0.0026 \pm 0.0006. Here we present ASAS-SN, Chandra, HST/STIS, NICER, Swift, and TESS data for the flares that occurred in December 2020, April 2021, July 2021, and November 2021. The HST/STIS UV spectra evolve from blue shifted broad absorption features to red shifted broad emission features over ∌\sim10 days. The Swift UV/optical light curves peaked as predicted by the timing model, but the peak UV luminosities varied between flares and the UV flux in July 2021 was roughly half the brightness of all other peaks. The X-ray luminosities consistently decreased and the spectra became harder during the UV/optical rise but apparently without changes in absorption. Finally, two high-cadence TESS light curves from December 2020 and November 2018 showed that the slopes during the rising and declining phases changed over time, which indicates some stochasticity in the flare's driving mechanism. ASASSN-14ko remains observationally consistent with a repeating partial tidal disruption event, but, these rich multi-wavelength data are in need of a detailed theoretical model.Comment: 25 pages, 14 figures, 4 tables; Submitted to ApJ, comments welcom

    Cool, Luminous, and Highly Variable Stars in the Magellanic Clouds from ASAS-SN: Implications for Thorne-\.Zytkow Objects and Super-Asymptotic Giant Branch Stars

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    Stars with unusual properties can provide a wealth of information about rare stages of stellar evolution and exotic physics. However, determining the true nature of peculiar stars is often difficult. In this work, we conduct a systematic search for cool and luminous stars in the Magellanic Clouds with extreme variability, motivated by the properties of the unusual SMC star and Thorne-\.Zytkow Object (T\.ZO) candidate HV2112. Using light curves from ASAS-SN we identify 38 stars with surface temperatures T << 4800K, luminosities log⁥\log(L/L⊙_\odot) >> 4.3, variability periods >> 400 days, and variability amplitudes Δ\DeltaV >> 2.5 mag. Eleven of these stars possess the distinctive double-peaked light curve morphology of HV2112. We use the pulsation properties and derived occurrence rates for these 12 objects to constrain their nature. From comparisons to stellar populations and models, we find that one star may be a red supergiant with large amplitude pulsations. For the other 11 stars we derive current masses of ∌\sim5-10 M⊙_{\odot}, below the theoretical minimum mass of ∌\sim15 M⊙_{\odot} for T\.ZOs to be stable, casting doubt on this interpretation. Instead, we find that the temperatures, luminosities, mass-loss rates, and periods of these stars are consistent with predictions for super-Asymptotic Giant Branch (s-AGB) stars that have begun carbon burning but have not reached the superwind phase. We infer lifetimes in this phase of ∌(\sim(1−-7) ×\times 104^{4} years, also consistent with an s-AGB interpretation. If confirmed, these objects would represent the first identified population of s-AGB stars, illuminating the transition between low- and high-mass stellar evolution.Comment: 29 pages, 14 figures, 4 tables, plus Appendix. Accepted for publication in the Astrophysical Journa

    Recommendations for community pharmacy to improve access to medication advice for people from ethnic minority communities: A qualitative person‐centred codesign study

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    Abstract: Introduction: Medicines‐centred consultations are vital to support medicine effectiveness and optimize health outcomes for patients. However, inequalities negatively impact ethnic minority populations when accessing medicines advice. It is important to identify opportunities to improve access for these communities however, knowledge of how best to achieve this is lacking; this study will generate recommendations to improve access to medicines advice from community pharmacies for people from ethnic minority communities. Methods: A series of codesign workshops, with four groups of patient‐stakeholders, were conducted between September–November 2021; they took place in‐person or via video call (adhering to COVID‐19 restrictions). Existing evidence‐based perceptions affecting access to medicines advice were critiqued and recommendations were generated, by use of reflexive thematic analysis, to improve access for ethnic minority patients. The workshops were audio‐recorded and transcribed verbatim. QSR NVivo (Version 12) facilitated data analysis. Results: Twelve participants were recruited using purposive sampling; including eight UK citizens, two asylum seekers and two participants in receipt of residency visas. In total, four different ethnic minority groups were represented. Each participant took part in a first and second workshop to share and cocreate recommendations to improve access to medicines advice in community pharmacies. Three recommendations were developed and centred on: (i) delivering and providing culturally competent medicines advice; (ii) building awareness of accessing medicines advice from community pharmacies; and (iii) enabling better discussions with patients from ethnic minority communities. Conclusions: These recommendations have the potential to support community pharmacy services to overcome ethnic inequalities affecting medicines advice; service commissioners should consider these findings to best meet the needs of ethnic minority patients. Cultural competence training for community pharmacy staff could support the creation of pharmacies as inclusive healthcare settings. Collaborative working with ethnic minority communities could enable specific tailoring of medicines‐centred services to best meet their needs. Patient or Public Contribution: The National Institute for Health Research (NIHR) and Newcastle University Patient and Public Involvement and Engagement group had extensive input in the study design and conceptualization. Seven patient champions were appointed to the steering group to ensure that the research was conducted, and findings were reported, with cultural competence. Trial Registration: Not applicable

    The network structure of psychopathological and resilient responses to the pandemic: A multicountry general population study of depression and anxiety

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    Commonly identified patterns of psychological distress in response to adverse events are characterized by resilience (i.e., little to no distress), delayed (i.e., distress that increases over time), recovery (i.e., distress followed by a gradual decrease over time), and sustained (i.e., distress remaining stable over time). This study aimed to examine these response patterns during the COVID-19 pandemic. Anxiety and depressive symptom data collected across four European countries over the first year of the pandemic were analyzed (N = 3,594). Participants were first categorized into groups based on the four described patterns. Network connectivity and symptom clustering were then estimated for each group and compared. Two thirds (63.6%) of the sample displayed a resilience pattern. The sustained distress network (16.3%) showed higher connectivity than the recovery network (10.0%) group, p = .031; however, the resilient network showed higher connectivity than the delayed network (10.1%) group, p = .016. Regarding symptom clustering, more clusters emerged in the recovery network (i.e., three) than the sustained network (i.e., two). These results replicate findings that resilience was the most common mental health pattern over the first pandemic year. Moreover, they suggest that high network connectivity may be indicative of a stable mental health response over time, whereas fewer clusters may be indicative of a sustained distress pattern. Although exploratory, the network perspective provides a useful tool for examining the complexity of psychological responses to adverse events and, if replicated, could be useful in identifying indicators of protection against or vulnerability to future psychological distress
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