Henri Temianka Correspondence; (lte)

This collection contains material pertaining to the life, career, and activities of Henri Temianka, violin virtuoso, conductor, music teacher, and author. Materials include correspondence, concert programs and flyers, music scores, photographs, and books.https://digitalcommons.chapman.edu/temianka_correspondence/3077/thumbnail.jp

Henri Temianka Correspondence; (lte)

This collection contains material pertaining to the life, career, and activities of Henri Temianka, violin virtuoso, conductor, music teacher, and author. Materials include correspondence, concert programs and flyers, music scores, photographs, and books.https://digitalcommons.chapman.edu/temianka_correspondence/3058/thumbnail.jp

Henri Temianka Correspondence; (lte)

This collection contains material pertaining to the life, career, and activities of Henri Temianka, violin virtuoso, conductor, music teacher, and author. Materials include correspondence, concert programs and flyers, music scores, photographs, and books.https://digitalcommons.chapman.edu/temianka_correspondence/3077/thumbnail.jp

Finding Strong Gravitational Lenses with Residual Neural Networks

Measuring gravitational lensing by galaxies is the only way to directly study the elusive dark matter. However, gravitational lensing is a very rare phenomenon (~1 in 10,000 galaxies). Our goal is to find new strong gravitational lenses using deep neural networks (“neural nets”). We train our neural nets on a hand-labeled set of images, consisting of both lenses and non-lenses (“the training sample”). We then apply the trained neural nets to a “validation set” to assess the accuracy and precision of its predictions. Given the rarity of lenses, we cannot tolerate a false positive rate higher than 0.1%. This is to minimize or possibly eliminate human inspection. This is an extremely high bar for Machine Learning (“ML”) algorithms. Our data sets are selected from real observational data. Utilizing real data has not been attempted before. In this project we update and modify an existing neural net model, originally created by a team at Carnegie Mellon University (CMU) written in Theano, a python library used for ML. After training on real, observed data the neural network recommended ~40,000 recommendations from a sample of 15 million galaxies. All recommendations were inspected by hand, from which there were hundreds of high probability candidates for strong lensing

Ranavirus Ecology and Evolution: From Epidemiology to Extinction

Ranaviruses have been identified in wild and captive populations of ectothermic vertebrates around the world. Ranavirus epidemics can result in a range of effects on their host populations, from apparently benign infections to mass mortality and local extirpation. In this chapter, we review the current status of ranavirus epidemiology and ecology in amphibians, fish, and reptiles. Ranavirus epidemics in amphibians and fish usually have a rapid onset in the mid-to-late summer while outbreaks in reptiles occur irregularly. Susceptibility to ranavirus differs among host species, and may be influenced by the type of ranavirus and natural or anthropogenic stressors. Ranaviruses can be transmitted within and between host species via several routes, but there is a need for transmission estimates in natural environments. Generally, ranaviruses are locally adapted to their host populations, but movement of infected hosts over long distances can disrupt these associations. There is evidence of increased virulence of ranaviruses in captive fish and amphibian populations raised for production. Given their broad host ranges, potential for high virulence, multiple routes of transmission, and frequent movement of amphibians, fish and reptiles in global trade, it appears that some ranaviruses have the potential to significantly impact host populations and even cause extinctions in the wild

Retrospective Search for Strongly Lensed Supernovae in the DESI Legacy Imaging Surveys

The introduction of deep wide-field surveys in recent years and the adoption of machine learning techniques have led to the discoveries of $\mathcal{O}(10^4)$ strong gravitational lensing systems and candidates. However, the discovery of multiply lensed transients remains a rarity. Lensed transients and especially lensed supernovae are invaluable tools to cosmology as they allow us to constrain cosmological parameters via lens modeling and the measurements of their time delays. In this paper, we develop a pipeline to perform a targeted lensed transient search. We apply this pipeline to 5807 strong lenses and candidates, identified in the literature, in the DESI Legacy Imaging Surveys Data Release 9 (DR9) footprint. For each system, we analyze every exposure in all observed bands (DECam $g$, $r$, and $z$). Our pipeline finds, groups, and ranks detections that are in sufficient proximity temporally and spatially. After the first round of inspection, for promising candidate systems, we further examine the newly available DR10 data (with additional $i$ and $\textrm{Y}$ bands). Here we present our targeted lensed supernova search pipeline and seven new lensed supernova candidates, including a very likely lensed supernova $-$ probably a Type Ia $-$ in a system with an Einstein radius of $\sim 1.5''$.Comment: 53 pages, 50 figures, 3 table

Psychometric Properties of the Adolescent Sleep Hygiene Scale

This study evaluated the psychometric properties of the Adolescent Sleep Hygiene Scale (ASHS), a self-report measure assessing sleep practices theoretically important for optimal sleep. Data were collected on a community sample of 514 adolescents (16–19; 17.7 ± 0.4 years; 50% female) participating in the late adolescent examination of a longitudinal study on sleep and health. Sleep hygiene and daytime sleepiness were obtained from adolescent reports, behavior from caretaker reports, and sleep-wake estimation on weekdays from wrist actigraphy. Confirmatory factor analysis indicated the empirical and conceptually based factor structure were similar for six of the eight proposed sleep hygiene domains. Internal consistency of the revised scale (ASHSr) was α = 0.84; subscale alphas were: physiological: α = 0.60; behavioural arousal: α = 0.62; cognitive/emotional: α = 0.81; sleep environment: α = 0.61; sleep stability: α = 0.68; daytime sleep: α = 0.78. Sleep hygiene scores were associated positively with sleep duration (r = 0.16) and sleep efficiency (r = 0.12) and negatively with daytime sleepiness (r = −0.26). Results of extreme-groups analyses comparing ASHSr scores in the lowest and highest quintile provided further evidence for concurrent validity. Correlations between sleep hygiene scores and caretaker reports of school competence, internalizing and externalizing behaviours provided support for convergent validity. These findings indicate that the ASHSr has satisfactory psychometric properties for a research instrument and is a useful research tool for assessing sleep hygiene in adolescents