The Association of Virtual Exercise Classes and Well-Being During COVID-19 Among University Employees

This cross-sectional study sought to examine the association of virtual exercise with physical activity (PA), general, and mental health during COVID-19 among university employees. Individuals completed an online survey with questions about demographic, sleep, substance use, and virtual exercise participation. The International Physical Activity Questionnaire and 36-Item Short Form Health Survey assessed PA, general, and mental health. Data were analyzed for descriptive, correlation, and multiple regression models. Complete data were collected from 122 participants with a mean age of 45.6±13.1 years. Participation in virtual exercise were highest for twice a week (24.6%) followed by once a month (17.2%) and never (17.2%). Over a quarter of participants reported an increase (29.1%) in alcohol use. No significant differences were found in total MET-min between before (1952 ± 1373) and during-COVID (1973 ± 1692) (p \u3e .05); however, virtual exercise participation significantly associated with an increase in PA (β = 609.08, p=.01). Statistically significant positive relationships were also found between higher PA and better general health (β = .005, p \u3c 0.01), and emotional well-being (β = .004, p \u3c .05). Self-reported COVID disruptiveness was negatively associated with emotional well-being (β = -3.28, p \u3c 0.001). This data suggested that virtual exercise courses were associated with maintaining PA which may indirectly regulate general and mental well-being during the pandemic for university employees

Effect of Student Involvement on Patient Perceptions of Ambulatory Care Visits

OBJECTIVE: To determine if patient satisfaction with ambulatory care visits differs when medical students participate in the visit. DESIGN: Randomized controlled trial. SETTING: Academic general internal medicine practice. PARTICIPANTS: Outpatients randomly assigned to see an attending physician only (N = 66) or an attending physician plus medical student (N = 68). MEASUREMENTS AND MAIN RESULTS: Patient perceptions of the office visit were determined by telephone survey. Overall office visit satisfaction was higher for the “attending physician only” group (61% vs 48% excellent), although this was not statistically significant (P = .16). There was no difference between the study groups for patient ratings of their physician overall (80% vs 85% excellent; P = .44). In subsidiary analyses, patients who rated their attending physician as “excellent” rated the overall office visit significantly higher in the “attending physician only” group (74% vs 55%; P = .04). Among patients in the “attending physician plus medical student” group, 40% indicated that medical student involvement “probably” or “definitely” did not improve their care, and 30% responded that they “probably” or “definitely” did not want to see a student at subsequent office visits. CONCLUSIONS: Although our sample size was small, we found no significant decrement in patient ratings of office visit satisfaction from medical student involvement in a global satisfaction survey. However, a significant number of patients expressed discontent with student involvement in the visit when asked directly. Global assessment of patient satisfaction may lack sensitivity for detection of dissatisfaction. Future research in this area should employ more sensitive measures of patient satisfaction

Multicolor plate reader fluorescence calibration

Plate readers are commonly used to measure cell growth and fluorescence, yet the utility and reproducibility of plate reader data is limited by the fact that it is typically reported in arbitrary or relative units. We have previously established a robust serial dilution protocol for calibration of plate reader measurements of absorbance to estimated bacterial cell count and for green fluorescence from proteins expressed in bacterial cells to molecules of equivalent fluorescein. We now extend these protocols to calibration of red fluorescence to the sulforhodamine-101 fluorescent dye and blue fluorescence to Cascade Blue. Evaluating calibration efficacy via an interlaboratory study, we find that these calibrants do indeed provide comparable precision to the prior calibrants and that they enable effective cross-laboratory comparison of measurements of red and blue fluorescence from proteins expressed in bacterial cells

Ancient Lowland Maya neighborhoods: Average Nearest Neighbor analysis and kernel density models, environments, and urban scale

Many humans live in large, complex political centers, composed of multi-scalar communities including neighborhoods and districts. Both today and in the past, neighborhoods form a fundamental part of cities and are defined by their spatial, architectural, and material elements. Neighborhoods existed in ancient centers of various scales, and multiple methods have been employed to identify ancient neighborhoods in archaeological contexts. However, the use of different methods for neighborhood identification within the same spatiotemporal setting results in challenges for comparisons within and between ancient societies. Here, we focus on using a single method—combining Average Nearest Neighbor (ANN) and Kernel Density (KD) analyses of household groups—to identify potential neighborhoods based on clusters of households at 23 ancient centers across the Maya Lowlands. While a one-size-fits all model does not work for neighborhood identification everywhere, the ANN/KD method provides quantifiable data on the clustering of ancient households, which can be linked to environmental zones and urban scale. We found that centers in river valleys exhibited greater household clustering compared to centers in upland and escarpment environments. Settlement patterns on flat plains were more dispersed, with little discrete spatial clustering of households. Furthermore, we categorized the ancient Maya centers into discrete urban scales, finding that larger centers had greater variation in household spacing compared to medium-sized and smaller centers. Many larger political centers possess heterogeneity in household clustering between their civic-ceremonial cores, immediate hinterlands, and far peripheries. Smaller centers exhibit greater household clustering compared to larger ones. This paper quantitatively assesses household clustering among nearly two dozen centers across the Maya Lowlands, linking environment and urban scale to settlement patterns. The findings are applicable to ancient societies and modern cities alike; understanding how humans form multi-scalar social groupings, such as neighborhoods, is fundamental to human experience and social organization

First AGILE Catalog of High Confidence Gamma-Ray Sources

We present the first catalog of high-confidence gamma-ray sources detected by the AGILE satellite during observations performed from July 9, 2007 to June 30, 2008. Catalogued sources are detected by merging all the available data over the entire time period. AGILE, launched in April 2007, is an ASI mission devoted to gamma-ray observations in the 30 MeV - 50 GeV energy range, with simultaneous X-ray imaging capability in the 18-60 keV band. This catalog is based on Gamma-Ray Imaging Detector (GRID) data for energies greater than 100 MeV. For the first AGILE catalog we adopted a conservative analysis, with a high-quality event filter optimized to select gamma-ray events within the central zone of the instrument Field of View (radius of 40 degrees). This is a significance-limited (4 sigma) catalog, and it is not a complete flux-limited sample due to the non-uniform first year AGILE sky coverage. The catalog includes 47 sources, 21 of which are associated with confirmed or candidate pulsars, 13 with Blazars (7 FSRQ, 4 BL Lacs, 2 unknown type), 2 with HMXRBs, 2 with SNRs, 1 with a colliding-wind binary system, 8 with unidentified sources.Comment: Revised version, 15 pages, 3 figures, 3 tables. To be published in Astronomy and Astrophysics. Text improved and clarified. Refined analysis of complex regions of the Galactic plane yields a new list of high-confidence sources including 47 sources (compared with the 40 sources appearing in the first version

Form ≠ Function: The independence of prosody and action

This article argues for the importance of describing form independently of function, especially for prosodic and phonetic forms. Form and function are often conflated by language-in-interaction researchers when they give descriptive labels to the sound of talk (e.g., “upgraded” pitch, “continuing” intonation), and that tempts researchers to see a given form as having a given function or practice—often one that is influenced by the descriptive label. I argue that we should discipline ourselves to keeping to a purely technical description of any form (practice); that will then make it possible unambiguously to show how that form contributes to a particular function (action), without presuming the relationship to be exclusive. Data are in American and British English

Ancient Lowland Maya neighborhoods: Average Nearest Neighbor analysis and kernel density models, environments, and urban scale

Many humans live in large, complex political centers, composed of multi-scalar communities including neighborhoods and districts. Both today and in the past, neighborhoods form a fundamental part of cities and are defined by their spatial, architectural, and material elements. Neighborhoods existed in ancient centers of various scales, and multiple methods have been employed to identify ancient neighborhoods in archaeological contexts. However, the use of different methods for neighborhood identification within the same spatiotemporal setting results in challenges for comparisons within and between ancient societies. Here, we focus on using a single method—combining Average Nearest Neighbor (ANN) and Kernel Density (KD) analyses of household groups—to identify potential neighborhoods based on clusters of households at 23 ancient centers across the Maya Lowlands. While a one-size-fits all model does not work for neighborhood identification everywhere, the ANN/KD method provides quantifiable data on the clustering of ancient households, which can be linked to environmental zones and urban scale. We found that centers in river valleys exhibited greater household clustering compared to centers in upland and escarpment environments. Settlement patterns on flat plains were more dispersed, with little discrete spatial clustering of households. Furthermore, we categorized the ancient Maya centers into discrete urban scales, finding that larger centers had greater variation in household spacing compared to medium-sized and smaller centers. Many larger political centers possess heterogeneity in household clustering between their civic-ceremonial cores, immediate hinterlands, and far peripheries. Smaller centers exhibit greater household clustering compared to larger ones. This paper quantitatively assesses household clustering among nearly two dozen centers across the Maya Lowlands, linking environment and urban scale to settlement patterns. The findings are applicable to ancient societies and modern cities alike; understanding how humans form multi-scalar social groupings, such as neighborhoods, is fundamental to human experience and social organization

Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk

Lung-function impairment underlies chronic obstructive pulmonary disease (COPD) and predicts mortality. In the largest multi-ancestry genome-wide association meta-analysis of lung function to date, comprising 580,869 participants, we identified 1,020 independent association signals implicating 559 genes supported by ≥2 criteria from a systematic variant-to-gene mapping framework. These genes were enriched in 29 pathways. Individual variants showed heterogeneity across ancestries, age and smoking groups, and collectively as a genetic risk score showed strong association with COPD across ancestry groups. We undertook phenome-wide association studies for selected associated variants as well as trait and pathway-specific genetic risk scores to infer possible consequences of intervening in pathways underlying lung function. We highlight new putative causal variants, genes, proteins and pathways, including those targeted by existing drugs. These findings bring us closer to understanding the mechanisms underlying lung function and COPD, and should inform functional genomics experiments and potentially future COPD therapies