112 research outputs found

    Data Reduction Pipeline for the CHARIS Integral-Field Spectrograph I: Detector Readout Calibration and Data Cube Extraction

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    We present the data reduction pipeline for CHARIS, a high-contrast integral-field spectrograph for the Subaru Telescope. The pipeline constructs a ramp from the raw reads using the measured nonlinear pixel response, and reconstructs the data cube using one of three extraction algorithms: aperture photometry, optimal extraction, or χ2\chi^2 fitting. We measure and apply both a detector flatfield and a lenslet flatfield and reconstruct the wavelength- and position-dependent lenslet point-spread function (PSF) from images taken with a tunable laser. We use these measured PSFs to implement a χ2\chi^2-based extraction of the data cube, with typical residuals of ~5% due to imperfect models of the undersampled lenslet PSFs. The full two-dimensional residual of the χ2\chi^2 extraction allows us to model and remove correlated read noise, dramatically improving CHARIS' performance. The χ2\chi^2 extraction produces a data cube that has been deconvolved with the line-spread function, and never performs any interpolations of either the data or the individual lenslet spectra. The extracted data cube also includes uncertainties for each spatial and spectral measurement. CHARIS' software is parallelized, written in Python and Cython, and freely available on github with a separate documentation page. Astrometric and spectrophotometric calibrations of the data cubes and PSF subtraction will be treated in a forthcoming paper.Comment: 18 pages, 15 figures, 3 tables, replaced with JATIS accepted version (emulateapj formatted here). Software at https://github.com/PrincetonUniversity/charis-dep and documentation at http://princetonuniversity.github.io/charis-de

    An updated re-entry analysis of the Hubble Space Telescope

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    The Hubble Space Telescope (HST), launched in 1990, has without question given us a better understanding of the Universe [1]. The storied spacecraft has far exceeded its design life and, in spite of four repair missions, is nearing the end of its useful lifespan. Originally designed to be returned by the Space Shuttle, the HST has no on-board propulsion system. A 2012 study estimated that without intervention, the HST will re-enter the atmosphere in approximately 2027 with a 1:240 risk of fatality [2]. This study updates that analysis with more recent de-orbit technologies and updated trajectory information. We propose a design solution to safely perform a targeted de-orbit, assuming a worst-case scenario (a non-functional, tumbling spacecraft). Multiple de-orbit options are assessed to actively capture the satellite. Results frame an approach that could be accomplished with proven technologies at reasonable cost to improve the fatality risk as required by US Government regulation [3]. Moreover, delayed action would significantly increase mission cost and complexity so we recommend a project start in the near future

    User-Centered Virtual Reality for Promoting Relaxation: An Innovative Approach

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    [EN] Virtual reality has been used effectively to promote relaxation and reduce stress. It is possible to find two main approaches to achieve such aims across the literature. The first one is focused on genetic environments filled with relaxing "narratives" to induce control over one's own body and physiological response, while the second one engages the user in virtual reality-mediated activities to empower his/her own abilities to regulate emotion. The scope of the present contribution is to extend the discourse on VR use to promote relaxation, by proposing a third approach. This would be based on VR with personalized content, based on user research to identify important life events. As a second step, distinctive features of such events may be rendered with symbols, activities or other virtual environments contents. According to literature, it is possible that such an approach would obtain more sophisticated and long-lasting relaxation in users. The present contribution explores this innovative theoretical proposal and its potential applications within future research and interventionsPizzoli, SFM.; Mazzocco, K.; Triberti, S.; Monzani, D.; Alcañiz Raya, ML.; Pravettoni, G. (2019). User-Centered Virtual Reality for Promoting Relaxation: An Innovative Approach. Frontiers in Psychology. 10:1-8. https://doi.org/10.3389/fpsyg.2019.00479S1810Alcañiz, M., Botella, C., Baños, R. M., Zaragoza, I., & Guixeres, J. (2009). The Intelligent e-Therapy system: a new paradigm for telepsychology and cybertherapy. British Journal of Guidance & Counselling, 37(3), 287-296. doi:10.1080/03069880902957015Alcañiz, M., Botella, C., Rey, B., Baños, R., Lozano, J. A., de la Vega, N. L., … Hospitaler, A. (2007). EMMA: An Adaptive Display for Virtual Therapy. Lecture Notes in Computer Science, 258-265. doi:10.1007/978-3-540-73216-7_29Anderson, A. P., Mayer, M. D., Fellows, A. M., Cowan, D. R., Hegel, M. T., & Buckey, J. C. (2017). Relaxation with Immersive Natural Scenes Presented Using Virtual Reality. Aerospace Medicine and Human Performance, 88(6), 520-526. doi:10.3357/amhp.4747.2017Annemans, L., Redekop, K., & Payne, K. (2013). Current Methodological Issues in the Economic Assessment of Personalized Medicine. Value in Health, 16(6), S20-S26. doi:10.1016/j.jval.2013.06.008Annerstedt, M., Jönsson, P., Wallergård, M., Johansson, G., Karlson, B., Grahn, P., … Währborg, P. (2013). Inducing physiological stress recovery with sounds of nature in a virtual reality forest — Results from a pilot study. Physiology & Behavior, 118, 240-250. doi:10.1016/j.physbeh.2013.05.023Baños, R. M., Botella, C., Alcañiz, M., Liaño, V., Guerrero, B., & Rey, B. (2004). Immersion and Emotion: Their Impact on the Sense of Presence. CyberPsychology & Behavior, 7(6), 734-741. doi:10.1089/cpb.2004.7.734Hoffman, H. G., Patterson, D. R., Soltani, M., Teeley, A., Miller, W., & Sharar, S. R. (2009). Virtual Reality Pain Control during Physical Therapy Range of Motion Exercises for a Patient with Multiple Blunt Force Trauma Injuries. CyberPsychology & Behavior, 12(1), 47-49. doi:10.1089/cpb.2008.0056Baños, R. M., Botella, C., Guillen, V., García-Palacios, A., Quero, S., Bretón-López, J., & Alcañiz, M. (2009). An adaptive display to treat stress-related disorders: EMMA’s World. British Journal of Guidance & Counselling, 37(3), 347-356. doi:10.1080/03069880902957064Baños, R. M., Botella, C., Rubió, I., Quero, S., García-Palacios, A., & Alcañiz, M. (2008). Presence and Emotions in Virtual Environments: The Influence of Stereoscopy. CyberPsychology & Behavior, 11(1), 1-8. doi:10.1089/cpb.2007.9936Baños, R. M., Guillen, V., Quero, S., García-Palacios, A., Alcaniz, M., & Botella, C. (2011). A virtual reality system for the treatment of stress-related disorders: A preliminary analysis of efficacy compared to a standard cognitive behavioral program. 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(2009). Happiness unpacked: Positive emotions increase life satisfaction by building resilience. Emotion, 9(3), 361-368. doi:10.1037/a0015952Fairbanks, R. J., & Wears, R. L. (2008). Hazards With Medical Devices: The Role of Design. Annals of Emergency Medicine, 52(5), 519-521. doi:10.1016/j.annemergmed.2008.07.008Felix, M. M. dos S., Ferreira, M. B. G., da Cruz, L. F., & Barbosa, M. H. (2019). Relaxation Therapy with Guided Imagery for Postoperative Pain Management: An Integrative Review. Pain Management Nursing, 20(1), 3-9. doi:10.1016/j.pmn.2017.10.014Felnhofer, A., Kothgassner, O. D., Schmidt, M., Heinzle, A.-K., Beutl, L., Hlavacs, H., & Kryspin-Exner, I. (2015). Is virtual reality emotionally arousing? Investigating five emotion inducing virtual park scenarios. International Journal of Human-Computer Studies, 82, 48-56. doi:10.1016/j.ijhcs.2015.05.004Ferrer-García, M., & Gutiérrez-Maldonado, J. (2012). The use of virtual reality in the study, assessment, and treatment of body image in eating disorders and nonclinical samples: A review of the literature. Body Image, 9(1), 1-11. doi:10.1016/j.bodyim.2011.10.001Ferrer-Garcia, M., Gutiérrez-Maldonado, J., & Riva, G. (2013). Virtual Reality Based Treatments in Eating Disorders and Obesity: A Review. Journal of Contemporary Psychotherapy, 43(4), 207-221. doi:10.1007/s10879-013-9240-1Fisher, J. D. (1974). Situation-specific variables as determinants of perceived environmental aesthetic quality and perceived crowdedness. Journal of Research in Personality, 8(2), 177-188. doi:10.1016/0092-6566(74)90019-1Folkman, S., & Moskowitz, J. T. (2000). Positive affect and the other side of coping. American Psychologist, 55(6), 647-654. doi:10.1037/0003-066x.55.6.647Fredrickson, B. L. (2001). The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. American Psychologist, 56(3), 218-226. doi:10.1037/0003-066x.56.3.218Gilardi, S., Guglielmetti, C., & Pravettoni, G. (2013). Interprofessional team dynamics and information flow management in emergency departments. Journal of Advanced Nursing, 70(6), 1299-1309. doi:10.1111/jan.12284Gonçalves, R., Pedrozo, A. L., Coutinho, E. S. F., Figueira, I., & Ventura, P. (2012). Efficacy of Virtual Reality Exposure Therapy in the Treatment of PTSD: A Systematic Review. PLoS ONE, 7(12), e48469. doi:10.1371/journal.pone.0048469Gross, J. J. (1998). The Emerging Field of Emotion Regulation: An Integrative Review. Review of General Psychology, 2(3), 271-299. doi:10.1037/1089-2680.2.3.271Hemenover, S. H., & Bowman, N. D. (2018). Video games, emotion, and emotion regulation: expanding the scope. Annals of the International Communication Association, 42(2), 125-143. doi:10.1080/23808985.2018.1442239Hoffman, H. G., Chambers, G. T., Meyer, W. J., Arceneaux, L. L., Russell, W. J., Seibel, E. J., … Patterson, D. R. (2011). Virtual Reality as an Adjunctive Non-pharmacologic Analgesic for Acute Burn Pain During Medical Procedures. Annals of Behavioral Medicine, 41(2), 183-191. doi:10.1007/s12160-010-9248-7Holland, A. C., & Kensinger, E. A. (2010). Emotion and autobiographical memory. Physics of Life Reviews, 7(1), 88-131. doi:10.1016/j.plrev.2010.01.006Ip, H. H. S., Wong, S. W. L., Chan, D. F. Y., Byrne, J., Li, C., Yuan, V. S. N., … Wong, J. Y. W. (2018). Enhance emotional and social adaptation skills for children with autism spectrum disorder: A virtual reality enabled approach. Computers & Education, 117, 1-15. doi:10.1016/j.compedu.2017.09.010Korpela, K. M., Ylén, M., Tyrväinen, L., & Silvennoinen, H. (2008). Determinants of restorative experiences in everyday favorite places. Health & Place, 14(4), 636-652. doi:10.1016/j.healthplace.2007.10.008Korpela, K. M., & Ylén, M. P. (2009). Effectiveness of Favorite-Place Prescriptions. American Journal of Preventive Medicine, 36(5), 435-438. doi:10.1016/j.amepre.2009.01.022Kyle, G., Graefe, A., Manning, R., & Bacon, J. (2004). Effects of place attachment on users’ perceptions of social and environmental conditions in a natural setting. Journal of Environmental Psychology, 24(2), 213-225. doi:10.1016/j.jenvp.2003.12.006Lang, P. J. (s. f.). Fear reduction and fear behavior: Problems in treating a construct. Research in psychotherapy., 90-102. doi:10.1037/10546-004León-Pizarro, C., Gich, I., Barthe, E., Rovirosa, A., Farrús, B., Casas, F., … Arcusa, A. (2007). A randomized trial of the effect of training in relaxation and guided imagery techniques in improving psychological and quality-of-life indices for gynecologic and breast brachytherapy patients. Psycho-Oncology, 16(11), 971-979. doi:10.1002/pon.1171Lobel, A., Granic, I., & Engels, R. C. M. E. (2014). Stressful Gaming, Interoceptive Awareness, and Emotion Regulation Tendencies: A Novel Approach. Cyberpsychology, Behavior, and Social Networking, 17(4), 222-227. doi:10.1089/cyber.2013.0296Maples-Keller, J. L., Bunnell, B. E., Kim, S.-J., & Rothbaum, B. O. (2017). The Use of Virtual Reality Technology in the Treatment of Anxiety and Other Psychiatric Disorders. Harvard Review of Psychiatry, 25(3), 103-113. doi:10.1097/hrp.0000000000000138Maples-Keller, J. L., Yasinski, C., Manjin, N., & Rothbaum, B. O. (2017). Virtual Reality-Enhanced Extinction of Phobias and Post-Traumatic Stress. Neurotherapeutics, 14(3), 554-563. doi:10.1007/s13311-017-0534-yMarín-Morales, J., Higuera-Trujillo, J. L., Greco, A., Guixeres, J., Llinares, C., Scilingo, E. P., … Valenza, G. (2018). Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors. Scientific Reports, 8(1). doi:10.1038/s41598-018-32063-4Marks, I. M., & Gelder, M. G. (1965). A Controlled Retrospective Study of Behaviour Therapy in Phobic Patients. British Journal of Psychiatry, 111(476), 561-573. doi:10.1192/bjp.111.476.561Miller, K. M. (1987). Deep Breathing Relaxation. AORN Journal, 45(2), 484-488. doi:10.1016/s0001-2092(07)68361-6Mitroff, S. R., Biggs, A. T., Adamo, S. H., Dowd, E. W., Winkle, J., & Clark, K. (2015). What can 1 billion trials tell us about visual search? Journal of Experimental Psychology: Human Perception and Performance, 41(1), 1-5. doi:10.1037/xhp0000012Mühlberger, A., Herrmann, M. J., Wiedemann, G., Ellgring, H., & Pauli, P. (2001). Repeated exposure of flight phobics to flights in virtual reality. Behaviour Research and Therapy, 39(9), 1033-1050. doi:10.1016/s0005-7967(00)00076-0Oliver, M. B., Bowman, N. D., Woolley, J. K., Rogers, R., Sherrick, B. I., & Chung, M.-Y. (2016). Video games as meaningful entertainment experiences. Psychology of Popular Media Culture, 5(4), 390-405. doi:10.1037/ppm0000066Oliver, M. B., Hartmann, T., & Woolley, J. K. (2012). Elevation in Response to Entertainment Portrayals of Moral Virtue. Human Communication Research, 38(3), 360-378. doi:10.1111/j.1468-2958.2012.01427.xParsons, T. D., & Reinebold, J. L. (2012). Adaptive virtual environments for neuropsychological assessment in serious games. IEEE Transactions on Consumer Electronics, 58(2), 197-204. doi:10.1109/tce.2012.6227413Parsons, T. D., & Rizzo, A. A. (2008). Affective outcomes of virtual reality exposure therapy for anxiety and specific phobias: A meta-analysis. Journal of Behavior Therapy and Experimental Psychiatry, 39(3), 250-261. doi:10.1016/j.jbtep.2007.07.007Parsons, T. D., Rizzo, A. A., Rogers, S., & York, P. (2009). Virtual reality in paediatric rehabilitation: A review. Developmental Neurorehabilitation, 12(4), 224-238. doi:10.1080/17518420902991719Picard, R. W., Vyzas, E., & Healey, J. (2001). Toward machine emotional intelligence: analysis of affective physiological state. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(10), 1175-1191. doi:10.1109/34.954607Pressman, S. D., & Cohen, S. (2005). Does positive affect influence health? Psychological Bulletin, 131(6), 925-971. doi:10.1037/0033-2909.131.6.925Renzi, C., Riva, S., Masiero, M., & Pravettoni, G. (2016). The choice dilemma in chronic hematological conditions: Why choosing is not only a medical issue? A psycho-cognitive perspective. Critical Reviews in Oncology/Hematology, 99, 134-140. doi:10.1016/j.critrevonc.2015.12.010Riva, G., Mantovani, F., Capideville, C. S., Preziosa, A., Morganti, F., Villani, D., … Alcañiz, M. (2007). Affective Interactions Using Virtual Reality: The Link between Presence and Emotions. CyberPsychology & Behavior, 10(1), 45-56. doi:10.1089/cpb.2006.9993Rizzo, A., Parsons, T. D., Lange, B., Kenny, P., Buckwalter, J. G., Rothbaum, B., … Reger, G. (2011). Virtual Reality Goes to War: A Brief Review of the Future of Military Behavioral Healthcare. 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    US Cosmic Visions: New Ideas in Dark Matter 2017: Community Report

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    This white paper summarizes the workshop "U.S. Cosmic Visions: New Ideas in Dark Matter" held at University of Maryland on March 23-25, 2017.Comment: 102 pages + reference

    "Sleep disparity" in the population: poor sleep quality is strongly associated with poverty and ethnicity

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    <p>Abstract</p> <p>Background</p> <p>Little is known about the social determinants of sleep attainment. This study examines the relationship of race/ethnicity, socio-economic status (SES) and other factors upon sleep quality.</p> <p>Methods</p> <p>A cross-sectional survey of 9,714 randomly selected subjects was used to explore sleep quality obtained by self-report, in relation to socioeconomic factors including poverty, employment status, and education level. The primary outcome was poor sleep quality. Data were collected by the Philadelphia Health Management Corporation.</p> <p>Results</p> <p>Significant differences were observed in the outcome for race/ethnicity (African-American and Latino versus White: unadjusted OR = 1.59, 95% CI 1.24-2.05 and OR = 1.65, 95% CI 1.37-1.98, respectively) and income (below poverty threshold, unadjusted OR = 2.84, 95%CI 2.41-3.35). In multivariable modeling, health indicators significantly influenced sleep quality most prominently in poor individuals. After adjusting for socioeconomic factors (education, employment) and health indicators, the association of income and poor sleep quality diminished, but still persisted in poor Whites while it was no longer significant in poor African-Americans (adjusted OR = 1.95, 95% CI 1.47-2.58 versus OR = 1.16, 95% CI 0.87-1.54, respectively). Post-college education (adjusted OR = 0.47, 95% CI 0.31-0.71) protected against poor sleep.</p> <p>Conclusions</p> <p>A "sleep disparity" exists in the study population: poor sleep quality is strongly associated with poverty and race. Factors such as employment, education and health status, amongst others, significantly mediated this effect only in poor subjects, suggesting a differential vulnerability to these factors in poor relative to non-poor individuals in the context of sleep quality. Consideration of this could help optimize targeted interventions in certain groups and subsequently reduce the adverse societal effects of poor sleep.</p

    Early predictors of impaired social functioning in male rhesus macaques (Macaca mulatta)

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    Autism spectrum disorder (ASD) is characterized by social cognition impairments but its basic disease mechanisms remain poorly understood. Progress has been impeded by the absence of animal models that manifest behavioral phenotypes relevant to ASD. Rhesus monkeys are an ideal model organism to address this barrier to progress. Like humans, rhesus monkeys are highly social, possess complex social cognition abilities, and exhibit pronounced individual differences in social functioning. Moreover, we have previously shown that Low-Social (LS) vs. High-Social (HS) adult male monkeys exhibit lower social motivation and poorer social skills. It is not known, however, when these social deficits first emerge. The goals of this study were to test whether juvenile LS and HS monkeys differed as infants in their ability to process social information, and whether infant social abilities predicted later social classification (i.e., LS vs. HS), in order to facilitate earlier identification of monkeys at risk for poor social outcomes. Social classification was determined for N = 25 LS and N = 25 HS male monkeys that were 1–4 years of age. As part of a colony-wide assessment, these monkeys had previously undergone, as infants, tests of face recognition memory and the ability to respond appropriately to conspecific social signals. Monkeys later identified as LS vs. HS showed impairments in recognizing familiar vs. novel faces and in the species-typical adaptive ability to gaze avert to scenes of conspecific aggression. Additionally, multivariate logistic regression using infant social ability measures perfectly predicted later social classification of all N = 50 monkeys. These findings suggest that an early capacity to process important social information may account for differences in rhesus monkeys’ motivation and competence to establish and maintain social relationships later in life. Further development of this model will facilitate identification of novel biological targets for intervention to improve social outcomes in at-risk young monkeys

    Metabolic Syndrome and Cardiovascular Disease after Hematopoietic Cell Transplantation: Screening and Preventive Practice Recommendations from the CIBMTR and EBMT

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    Metabolic syndrome (MetS) is a constellation of cardiovascular risk factors that increases the risk of cardiovascular disease, diabetes mellitus, and all-cause mortality. Long-term survivors of hematopoietic cell transplantation (HCT) have a substantial risk of developing MetS and cardiovascular disease, with an estimated prevalence of MetS of 31% to 49% among HCT recipients. Although MetS has not yet been proven to impact cardiovascular risk after HCT, an understanding of the incidence and risk factors for MetS in HCT recipients can provide the foundation to evaluate screening guidelines and develop interventions that may mitigate cardiovascular-related mortality. A working group was established through the Center for International Blood and Marrow Transplant Research and the European Group for Blood and Marrow Transplantation with the goal to review literature and recommend practices appropriate to HCT recipients. Here we deliver consensus recommendations to help clinicians provide screening and preventive care for MetS and cardiovascular disease among HCT recipients. All HCT survivors should be advised of the risks of MetS and encouraged to undergo recommended screening based on their predisposition and ongoing risk factors

    SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues

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    Variability in SARS-CoV-2 susceptibility and COVID-19 disease severity between individuals is partly due to genetic factors. Here, we identify 4 genomic loci with suggestive associations for SARS-CoV-2 susceptibility and 19 for COVID-19 disease severity. Four of these 23 loci likely have an ethnicity-specific component. Genome-wide association study (GWAS) signals in 11 loci colocalize with expression quantitative trait loci (eQTLs) associated with the expression of 20 genes in 62 tissues/cell types (range: 1:43 tissues/gene), including lung, brain, heart, muscle, and skin as well as the digestive system and immune system. We perform genetic fine mapping to compute 99% credible SNP sets, which identify 10 GWAS loci that have eight or fewer SNPs in the credible set, including three loci with one single likely causal SNP. Our study suggests that the diverse symptoms and disease severity of COVID-19 observed between individuals is associated with variants across the genome, affecting gene expression levels in a wide variety of tissue types

    Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders

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    Genetic influences on psychiatric disorders transcend diagnostic boundaries, suggesting substantial pleiotropy of contributing loci. However, the nature and mechanisms of these pleiotropic effects remain unclear. We performed analyses of 232,964 cases and 494,162 controls from genome-wide studies of anorexia nervosa, attention-deficit/hyper-activity disorder, autism spectrum disorder, bipolar disorder, major depression, obsessive-compulsive disorder, schizophrenia, and Tourette syndrome. Genetic correlation analyses revealed a meaningful structure within the eight disorders, identifying three groups of inter-related disorders. Meta-analysis across these eight disorders detected 109 loci associated with at least two psychiatric disorders, including 23 loci with pleiotropic effects on four or more disorders and 11 loci with antagonistic effects on multiple disorders. The pleiotropic loci are located within genes that show heightened expression in the brain throughout the lifespan, beginning prenatally in the second trimester, and play prominent roles in neurodevelopmental processes. These findings have important implications for psychiatric nosology, drug development, and risk prediction.Peer reviewe
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