Attachment Quality Across Contexts: The Mediating Role of Cognitive-Affective Traits

Attachment quality throughout the lifespan has been found to be impacted by a variety of factors including prior attachments with parents and other adults (Rholes, Simpson, & Friedman, 2006). The mechanisms that impact the transmission of attachment to parent-child attachment quality has not been fully explored. Individual differences such as traits involving appraisal of self and others and affective components have been found to be important in relationship functioning across contexts (Eisenberg, 2000). Thus, the current study evaluated the relationship between adult attachment quality and parent-child attachment quality and specifically examined the mediating effects of cognitive-affective traits (i.e. trait forgiveness, trait gratitude, guilt and shame proneness) on this relationship. The current study also evaluated the differences between mothers and fathers. Participants consisted of 424 parents (55.4% mothers and 44.6% fathers) of children ages 6-18 years old, within the continental United States. Participants self-reported their demographic characteristics, attachment quality with adults in their lives, attachment quality with their children, and their trait gratitude, forgiveness, and proneness to experience guilt and shame. Results demonstrated adult attachment predicted parent-child attachment quality and was partially mediated by trait gratitude, reparative action tendency, and withdraw action tendency (both indicators of guilt and shame proneness). Results suggested the potential for continuity of attachment quality in the parent-child attachment dyad is partially explained by these cognitive-affective traits. Results also found there were no meaningful differences between fathers and mothers suggesting these mechanisms operate similarly despite prior research supporting differences between mothers and fathers. Implications, limitations, and direction for future research were discussed

IntelliBeeHive: An Automated Honey Bee, Pollen, and Varroa Destructor Monitoring System

Utilizing computer vision and the latest technological advancements, in this study, we developed a honey bee monitoring system that aims to enhance our understanding of Colony Collapse Disorder, honey bee behavior, population decline, and overall hive health. The system is positioned at the hive entrance providing real-time data, enabling beekeepers to closely monitor the hive's activity and health through an account-based website. Using machine learning, our monitoring system can accurately track honey bees, monitor pollen-gathering activity, and detect Varroa mites, all without causing any disruption to the honey bees. Moreover, we have ensured that the development of this monitoring system utilizes cost-effective technology, making it accessible to apiaries of various scales, including hobbyists, commercial beekeeping businesses, and researchers. The inference models used to detect honey bees, pollen, and mites are based on the YOLOv7-tiny architecture trained with our own data. The F1-score for honey bee model recognition is 0.95 and the precision and recall value is 0.981. For our pollen and mite object detection model F1-score is 0.95 and the precision and recall value is 0.821 for pollen and 0.996 for "mite". The overall performance of our IntelliBeeHive system demonstrates its effectiveness in monitoring the honey bee's activity, achieving an accuracy of 96.28 % in tracking and our pollen model achieved a F1-score of 0.831

Constraints on the architecture of the HD 95086 planetary system with the Gemini Planet Imager

We present astrometric monitoring of the young exoplanet HD 95086 b obtained with the Gemini Planet Imager between 2013 and 2016. A small but significant position angle change is detected at constant separation; the orbital motion is confirmed with literature measurements. Efficient Monte Carlo techniques place preliminary constraints on the orbital parameters of HD 95086 b. With 68% confidence, a semimajor axis of 61.7^{+20.7}_{-8.4} au and an inclination of 153.0^{+9.7}_{-13.5} deg are favored, with eccentricity less than 0.21. Under the assumption of a co-planar planet-disk system, the periastron of HD 95086 b is beyond 51 au with 68% confidence. Therefore HD 95086 b cannot carve the entire gap inferred from the measured infrared excess in the SED of HD 95086. We use our sensitivity to additional planets to discuss specific scenarios presented in the literature to explain the geometry of the debris belts. We suggest that either two planets on moderately eccentric orbits or three to four planets with inhomogeneous masses and orbital properties are possible. The sensitivity to additional planetary companions within the observations presented in this study can be used to help further constrain future dynamical simulations of the planet-disk system.Comment: Accepted for publication in ApJ

The Peculiar Debris Disk of HD 111520 as Resolved by the Gemini Planet Imager

Using the Gemini Planet Imager (GPI), we have resolved the circumstellar debris disk around HD 111520 at a projected range of ~30-100 AU in both total and polarized $H$-band intensity. The disk is seen edge-on at a position angle of ~165$^{\circ}$ along the spine of emission. A slight inclination or asymmetric warping are covariant and alters the interpretation of the observed disk emission. We employ 3 point spread function (PSF) subtraction methods to reduce the stellar glare and instrumental artifacts to confirm that there is a roughly 2:1 brightness asymmetry between the NW and SE extension. This specific feature makes HD 111520 the most extreme examples of asymmetric debris disks observed in scattered light among similar highly inclined systems, such as HD 15115 and HD 106906. We further identify a tentative localized brightness enhancement and scale height enhancement associated with the disk at ~40 AU away from the star on the SE extension. We also find that the fractional polarization rises from 10 to 40% from 0.5" to 0.8" from the star. The combination of large brightness asymmetry and symmetric polarization fraction leads us to believe that an azimuthal dust density variation is causing the observed asymmetry.Comment: 9 pages, 8 Figures, 1 table, Accepted to Ap

Health & Nutritional Sciences Free Communication Day: Spring 2021 Plan B Abstracts

This document contains Plan B abstracts presented by graduate students at the Health and Nutritional Sciences Free Communication Day, held on May 4th, 2021. Abstract titles include: Local Restaurants’ Marketing and Sponsorship Within Collegiate Athletics Preparing the Future of Campus Recreation Motivational Factors Influencing College Choice: NCAA Division I Female Volleyball Athletes The Significance of a Successful Internship Program Foundations of Publicly Subsidized Sport Stadiums: The Case of U.S. Bank Stadium Enhancing Member Experience During a Pandemic The Risk of Depression in Football Players Diagnosed with a Concussion Effectiveness of Color-Tinted Glasses in Reducing Photophobia in Patients Diagnosed with Mild Traumatic Brain Injury or Concussion Policies Surrounding Transgender Athletes and Participation in Competitive Sports Carbon Fiber Insole’s Effect on Running Mechanics in Recreational Runners Comprehensive Analysis of School Wellness Policy Toolkits Fasting for Weight Loss Lactate Supplementation on Exercise Performance Dietitian Involvement in Protein Recommendation Research for AthletesProject title:Supplementation of Omega-3 Polyunsaturated Fatty Acids Improves Recovery and Exercise Performance in Healthy Adults. A Narrative Review of Grocery Store Interventions on Improving Healthy Food Purchases The Relationship Between American Indian’s Socioeconomic Status, Diet, & Gut Microbiome: A Preliminary Research Study Role of Omega-3 Fatty Acids on Pregnancy, Fetal, and Infant Development The Relationship of Blood Serum Levels of Vitamin B6, Folate, and Vitamin B12 on Depressive Symptoms in Adults Aged 18-65

Automated data processing architecture for the Gemini Planet Imager Exoplanet Survey

The Gemini Planet Imager Exoplanet Survey (GPIES) is a multi-year direct imaging survey of 600 stars to discover and characterize young Jovian exoplanets and their environments. We have developed an automated data architecture to process and index all data related to the survey uniformly. An automated and flexible data processing framework, which we term the Data Cruncher, combines multiple data reduction pipelines together to process all spectroscopic, polarimetric, and calibration data taken with GPIES. With no human intervention, fully reduced and calibrated data products are available less than an hour after the data are taken to expedite follow-up on potential objects of interest. The Data Cruncher can run on a supercomputer to reprocess all GPIES data in a single day as improvements are made to our data reduction pipelines. A backend MySQL database indexes all files, which are synced to the cloud, and a front-end web server allows for easy browsing of all files associated with GPIES. To help observers, quicklook displays show reduced data as they are processed in real-time, and chatbots on Slack post observing information as well as reduced data products. Together, the GPIES automated data processing architecture reduces our workload, provides real-time data reduction, optimizes our observing strategy, and maintains a homogeneously reduced dataset to study planet occurrence and instrument performance.Comment: 21 pages, 3 figures, accepted in JATI

Dynamical Mass Measurement of the Young Spectroscopic Binary V343 Normae AaAb Resolved With the Gemini Planet Imager

We present new spatially resolved astrometry and photometry from the Gemini Planet Imager of the inner binary of the young multiple star system V343 Normae, which is a member of the beta Pictoris moving group. V343 Normae comprises a K0 and mid-M star in a ~4.5 year orbit (AaAb) and a wide 10" M5 companion (B). By combining these data with archival astrometry and radial velocities we fit the orbit and measure individual masses for both components of M_Aa = 1.10 +/- 0.10 M_sun and M_Ab = 0.290 +/- 0.018 M_sun. Comparing to theoretical isochrones, we find good agreement for the measured masses and JHK band magnitudes of the two components consistent with the age of the beta Pic moving group. We derive a model-dependent age for the beta Pic moving group of 26 +/- 3 Myr by combining our results for V343 Normae with literature measurements for GJ 3305, which is another group member with resolved binary components and dynamical masses.Comment: 12 pages, 7 figures. Accepted to A