This pilot 2-week, randomized controlled trial examined integrating digital storytelling (DST) with heart rate variability biofeedback (HRVB) to enhance psycho-emotional well-being of hematopoietic cell transplantation (HCT) patients. HCT patients (N = 25; Mage = 51.9 years) were randomly assigned: (1) DST + HRVB intervention, or (2) DST-only control. Both groups viewed four emotionally-rich digital stories. The DST + HRVB group practiced HRVB at home for ten minutes/day. DST + HRVB participants decreased anger, depression, fatigue (d = 0.53) and increased emotional processing (d = 0.20), and HRV-assessed autonomic nervous system balance (3.5 vs. 0.9). This study supports feasibility of integrating DST with HRVB, and effect sizes indicate superiority of combining DST with HRVB.

We consider a multidimensional noncompensatory approach for binary items in passage-based tests. The passage-based noncompensatory model (PB-NM) emphasizes two underlying components in solving passage-based test items: a passage-related component and a passage-independent component. An advantage of the PB-NM model over commonly applied compensatory models (e.g., bifactor model) is that the two components are parameterized in relation to difficulty as opposed to discrimination parameters. As a result, while simultaneously accounting for passage-related local item dependence, the model permits the assessment of how items based on the same passage may require varying levels of passage comprehension (as well as varying levels of passage-independent proficiency) to obtain a correct response. Through a simulation study, we evaluate the comparative fit of the PB-NM against the bifactor model and also illustrate the relationship between the difficulty parameters of the PB-NM and the discrimination parameters of the bifactor model. We further apply the PB-NM to an actual reading comprehension test to demonstrate the relevance of the model in understanding variation in the relative difficulty of the two components across different item types.

We study the incidence of Social Security taxes on teacher wages and employment. On average, we estimate teachers with Social Security coverage take home 9.6 percent less in wages than observationally similar teachers in similar districts without Social Security coverage. This accounts for about three-fourths of the 12.4-percent total Social Security tax. Moreover, our analysis suggests this is likely a lower-bound estimate of the true incidence of Social Security taxes – under reasonable assumptions, we cannot rule out full (100%) tax incidence on teacher wages. We find no evidence of tax incidence on teacher staffing levels.

OBJECTIVES/GOALS: Examine the use of Patient-Reported Outcomes (PRO) in Huntington’s Disease (HD) clinical trials (CT) and compare across time and sponsor types. METHODS/STUDY POPULATION: Conduct literature review on 1. background of HD, 2. what symptoms and outcome measures are most important to patients, including the Patient-Focused Drug Development (PFDD) meeting for HD–led by the U.S. Food and Drug Administration (FDA), 3. what outcome measure tools currently exist and what they measure. Utilizing Clinicaltrials.gov, trials for HD were examined to assess the number of trials conducted, what COAs were used, and funding types. Trials were filtered by study type (keep Interventional) and status (filter out suspended, terminated, unknown, and withdrawn). The frequency of COAs will then be mapped based on the symptoms from the PFDD meeting. RESULTS/ANTICIPATED RESULTS: From the PFDD meeting for HD, symptoms that were important to patients include cognitive impairment, depression and anxiety, and motor symptoms. From the 139 interventional studies that were active, complete, recruiting, or not recruiting, 79 studies were conducted by Industry, 3 by NIH, 93 by Other (Academia/Community Organizations), and 1 by a U.S. Federal Agency (other than NIH). One of the most commonly used COA is the Unified Huntington’s Disease Rating Scale (UHDRS), which includes a motor, cognitive, and behavior assessment, and an assessment on functional capacity and independence. Of the 27 out of 139 trials analyzed to date, there were a total of 37 COAs. DISCUSSION/SIGNIFICANCE: The widespread use of UHDRS can be attributed to its standardization in 1999. It captures the symptoms of HD that are most important to patients. Because UHDRS is not sensitive to any one symptom, other COAs have been developed which focus on unique aspects of HD and allow for its earlier detection.

The International Design Engineering Annual (IDEA) Challenge is a virtually hosted hackathon for Engineering Design researchers with aims of: i) generating open access datasets; ii) fostering community between researchers; and, iii) applying great design minds to develop solutions to real design problems. This paper presents the 2022 IDEA challenge and elements of the captured dataset with the aim of providing insights into prototyping behaviours at virtually hosted hackathons, comparing it with the 2021 challenge dataset and providing reflections and learnings from two years of running the challenge. The dataset is shown to provide valuable insights into how designers spend their time at hackathon events and how, why and when prototypes are used during their design processes. The dataset also corroborates the findings from the 2021 dataset, demonstrating the complementarity of physical and sketch prototypes. With this paper, we also invite the wider community to contribute to the IDEA Challenge in future years, either as participants or in using the platform to run their own design studies.

The Maser Monitoring Organisation is a collection of researchers exploring the use of time-variable maser emission in the investigation of astrophysical phenomena. The forward directed aspects of research primarily involve using maser emission as a tool to investigate star formation. Simultaneously, these activities have deepened knowledge of maser emission itself in addition to uncovering previously unknown maser transitions. Thus a feedback loop is created where both the knowledge of astrophysical phenomena and the utilised tools of investigation themselves are iteratively sharpened. The project goals are open-ended and constantly evolving, however, the reliance on radio observatory maser monitoring campaigns persists as the fundamental enabler of research activities within the group.

Recently, remarkable progress has been made in understanding the formation of high mass stars. Observations provided direct evidence that massive young stellar objects (MYSOs), analogously to low-mass ones, form via disk-mediated accretion accompanied by episodic accretion bursts, possibly caused by disk fragmentation. In the case of MYSOs, the mechanism theoretically provides a means to overcome radiation pressure, but in practice it is poorly studied - only three accretion bursts in MYSOs have been caught in action to date. A significant contribution to the development of the theory has been made with the study of masers, which have proven to be a powerful tool for locating “bursting” MYSOs. This overview focuses on the exceptional role that masers play in the search and study of accretion bursts in massive protostars.

We report VLBI monitoring observations of the 22 GHz H2O masers toward the Mira variable BX Cam. Data from 37 epochs spanning ∼3 stellar pulsation periods were obtained between May 2018 and June 2021 with a time interval of 3–4 weeks. In particular, the VERA dual-beam system was used to measure the kinematics and parallaxes of the H2O maser features. The obtained parallax, 1.79±0.08 mas, is consistent with Gaia EDR3 and previous VLBI measurements. The position of the central star was estimated relied on Gaia EDR3 data and the center position of the 43 GHz SiO maser ring imaged with KVN. Analysis of the 3D maser kinematics revealed an expanding circumstellar envelope with a velocity of 13±4 km s−1 and significant spatial and velocity asymmetries. The H2O maser animation achieved by our dense monitoring program manifests the propagation of shock waves in the circumstellar envelope of BX Cam.

We present the data and initial results from the first pilot survey of the Evolutionary Map of the Universe (EMU), observed at 944 MHz with the Australian Square Kilometre Array Pathfinder (ASKAP) telescope. The survey covers $270 \,\mathrm{deg}^2$ of an area covered by the Dark Energy Survey, reaching a depth of 25–30 $\mu\mathrm{Jy\ beam}^{-1}$ rms at a spatial resolution of $\sim$ 11–18 arcsec, resulting in a catalogue of $\sim$ 220 000 sources, of which $\sim$ 180 000 are single-component sources. Here we present the catalogue of single-component sources, together with (where available) optical and infrared cross-identifications, classifications, and redshifts. This survey explores a new region of parameter space compared to previous surveys. Specifically, the EMU Pilot Survey has a high density of sources, and also a high sensitivity to low surface brightness emission. These properties result in the detection of types of sources that were rarely seen in or absent from previous surveys. We present some of these new results here.