USING A KINDLE TO IMPROVE PARENTAL PERCEPTIONS OF PAIN IN THEIR CHILDREN: A DNP SCHOLARLY PROJECT

Patient satisfaction is an important goal for health care providers, as it is associated with treatment success, and patients are more likely to adhere to medical treatments when they are satisfied. Emergency departments are among the lowest ranked healthcare settings nationwide in terms of patient satisfaction. Pediatric patients often experience pain and/or anxiety while in the hospital setting and are at an increased risk of having unpleasant experiences while receiving care. The purpose of this DNP scholarly project is to determine whether the introduction of a Kindle Fire tablet was effective in decreasing parental perceptions of pain while their child underwent an invasive procedure in a rural emergency department. The study is an experimental, randomized controlled trial that utilized a convenience sample of how-many parental dyads. The theoretical framework utilized for this scholarly project is Good’s (1998) acute pain management theory. A modified version of the Pediatric Pain Survey (Shahid, Benedict, Mishra, Mulye, & Guo, 2015) utilized a Likert scale and assessed responses to five questions. After the data were collected, a Fisher’s exact test of independence was used to compare differences in the distribution of responses, and p values were used to determine the statistical significance while comparing the control and the intervention groups. There was no statistical evidence to indicate that the intervention changed the perceptions the parents had on their child’s pain or anxiety

Infrastructure for Open Access: Mechanics, Economics, Politics

Using the Pennsylvania State University Libraries as a case study, this essay explores the development of a library-based open access publishing program, and illustrates how open access library publishing can facilitate open access models by providing additional infrastructure for the dissemination of scholarly content

Modeling Tropical Diversity in the Undergraduate Classroom: Novel Curriculum to Engage Students in Authentic Scientific Practicesum to Engage Students in Authentic Scientific Practices

A feature of science is its production of evidence-based explanations. Scientific models can both provide causal explanations and be predictive of natural phenomena. Modeling-based inquiry (MBI) is a pedagogical strategy that promotes students’ deep learning about phenomena via engagement in authentic scientific practices. Some university instructors have begun to facilitate MBI in their courses, notably those aimed at aspiring K–12 science educators who, per the Next Generation Science Standards, are encouraged to implement MBI. Yet exploration of curriculum and teaching with MBI in postsecondary environments is scarce. We detail a novel MBI curriculum implemented in a postsecondary ecology course that included students interested in future careers in education. The curriculum engages students in modeling why there is greater biological diversity in tropical than in temperate regions. This biological phenomenon continues to be of great interest to the scientific community. We briefly detail how the curriculum impacted students’ understanding of participation in aspects of scientific practices and their comfort with facilitating MBI

Introducing the Open Online Newspaper Initiative

The Open Online Newspaper Initiative (Open ONI) is an open source collaboration whose goal is to lower the entrance bar for libraries, archives, historical societies, and other cultural heritage institutions to display digital newspaper content. Open ONI was formed in response to a need for free, easily deployed, flexible, plug-and-play software that is useful for collections large and small, local and national

Identification of RNA binding motif proteins essential for cardiovascular development

Background We recently identified Rbm24 as a novel gene expressed during mouse cardiac development. Due to its tightly restricted and persistent expression from formation of the cardiac crescent onwards and later in forming vasculature we posited it to be a key player in cardiogenesis with additional roles in vasculogenesis and angiogenesis. Results To determine the role of this gene in cardiac development, we have identified its zebrafish orthologs (rbm24a and rbm24b), and functionally evaluated them during zebrafish embryogenesis. Consistent with our underlying hypothesis, reduction in expression of either ortholog through injection of morpholino antisense oligonucleotides results in cardiogenic defects including cardiac looping and reduced circulation, leading to increasing pericardial edema over time. Additionally, morphant embryos for either ortholog display incompletely overlapping defects in the forming vasculature of the dorsal aorta (DA), posterior caudal vein (PCV) and caudal vein (CV) which are the first blood vessels to form in the embryo. Vasculogenesis and early angiogenesis in the trunk were similarly compromised in rbm24 morphant embryos at 48 hours post fertilization (hpf). Subsequent vascular maintenance was impaired in both rbm24 morphants with substantial vessel degradation noted at 72 hpf. Conclusion Taken collectively, our functional data support the hypothesis that rbm24a and rbm24b are key developmental cardiac genes with unequal roles in cardiovascular formation

Identification of RNA binding motif proteins essential for cardiovascular development

Background: We recently identified Rbm24 as a novel gene expressed during mouse cardiac development. Due to its tightly restricted and persistent expression from formation of the cardiac crescent onwards and later in forming vasculature we posited it to be a key player in cardiogenesis with additional roles in vasculogenesis and angiogenesis. Results: To determine the role of this gene in cardiac development, we have identified its zebrafish orthologs (rbm24a and rbm24b), and functionally evaluated them during zebrafish embryogenesis. Consistent with our underlying hypothesis, reduction in expression of either ortholog through injection of morpholino antisense oligonucleotides results in cardiogenic defects including cardiac looping and reduced circulation, leading to increasing pericardial edema over time. Additionally, morphant embryos for either ortholog display incompletely overlapping defects in the forming vasculature of the dorsal aorta (DA), posterior caudal vein (PCV) and caudal vein (CV) which are the first blood vessels to form in the embryo. Vasculogenesis and early angiogenesis in the trunk were similarly compromised in rbm24 morphant embryos at 48 hours post fertilization (hpf). Subsequent vascular maintenance was impaired in both rbm24 morphants with substantial vessel degradation noted at 72 hpf. Conclusion: Taken collectively, our functional data support the hypothesis that rbm24a and rbm24b are key developmental cardiac genes with unequal roles in cardiovascular formation

The Lantern, 2022-2023

The Genie and the Scotsman • Taxi Driver Savior Complex • Midnight Waltz • Eulogy of Caution • Don\u27t cry over spilled milk!! • I am the spider • The Lamb • The Witch and the Shepherd • Nostalgia • In the Summer I Want Light • I Am (Not) • Thanatophobia • We\u27re not children anymore • Hamlet\u27s Fool • Lemon • the last two people in the world • Amongst Chaos (what captivated me) • How About Now, Billy Joel • Bug Trap • Spring, Musser Hall, Room 219 • Time\u27s Denial • A Song of History • A Haiku for You • Hello! My Name Is: • Toilet Humor • Waterfalls • Communion • Shift • Mama Told Me Not To Waste My Life • Writer\u27s Block • Sharp-Tongued Women • Off Trail • Paper Bag Town • Serenity • Landscape of Ursinus Courtyard • Image #07, Affinist designer • Love Birds • Discount Narnia • False Security • Stripes and Illusions • The Burning of Ophelia • Molly\u27s Folly • The Son of Bethany • Meta • Little Blue Sailboats • Grease Trap • Hitchhiking With My Eyes Closed • The Donna of Our Time • The Magic of Cooking • The Closing Shift • A Baptism of Teeth • Dear Beloved • How Kansas Got to Chicago • Anywhere, if you look hard enoughhttps://digitalcommons.ursinus.edu/lantern/1191/thumbnail.jp

CATMoS: Collaborative Acute Toxicity Modeling Suite.

BACKGROUND: Humans are exposed to tens of thousands of chemical substances that need to be assessed for their potential toxicity. Acute systemic toxicity testing serves as the basis for regulatory hazard classification, labeling, and risk management. However, it is cost- and time-prohibitive to evaluate all new and existing chemicals using traditional rodent acute toxicity tests. In silico models built using existing data facilitate rapid acute toxicity predictions without using animals. OBJECTIVES: The U.S. Interagency Coordinating Committee on the Validation of Alternative Methods (ICCVAM) Acute Toxicity Workgroup organized an international collaboration to develop in silico models for predicting acute oral toxicity based on five different end points: Lethal Dose 50 (LD50 value, U.S. Environmental Protection Agency hazard (four) categories, Globally Harmonized System for Classification and Labeling hazard (five) categories, very toxic chemicals [LD50 (LD50≤50mg/kg)], and nontoxic chemicals (LD50>2,000mg/kg). METHODS: An acute oral toxicity data inventory for 11,992 chemicals was compiled, split into training and evaluation sets, and made available to 35 participating international research groups that submitted a total of 139 predictive models. Predictions that fell within the applicability domains of the submitted models were evaluated using external validation sets. These were then combined into consensus models to leverage strengths of individual approaches. RESULTS: The resulting consensus predictions, which leverage the collective strengths of each individual model, form the Collaborative Acute Toxicity Modeling Suite (CATMoS). CATMoS demonstrated high performance in terms of accuracy and robustness when compared with in vivo results. DISCUSSION: CATMoS is being evaluated by regulatory agencies for its utility and applicability as a potential replacement for in vivo rat acute oral toxicity studies. CATMoS predictions for more than 800,000 chemicals have been made available via the National Toxicology Program's Integrated Chemical Environment tools and data sets (ice.ntp.niehs.nih.gov). The models are also implemented in a free, standalone, open-source tool, OPERA, which allows predictions of new and untested chemicals to be made. https://doi.org/10.1289/EHP8495

Bounds on the Energy Consumption of Computational Kernels

As computing devices evolve with successive technology generations, many machines target either the mobile or high-performance computing/datacenter environments. In both of these form factors, energy consumption often represents the limiting factor on hardware and software efficiency. On mobile devices, limitations in battery technology may reduce possible hardware capability due to a tight energy budget. On the other hand, large machines such as datacenters and supercomputers have budgets directly related to energy consumption and small improvements in energy efficiency can significantly reduce operating costs. Such challenges have influenced research upon the impact of applications, operating and runtime systems upon energy consumption. Until recently, little consideration was given to the potential energy efficiency of algorithms themselves.A dominant idea within the high-performance computing (HPC) community is that applications can be decomposed into a set of key computational problems, called kernels. Via automatic performance tuning and new algorithms for many kernels, researchers have successfully demonstrated performance improvements on a wide variety of machines. Motivated by the large and increasingly growing dominant cost (in time and energy) of moving data, algorithmic improvements have been attained by proving lower bounds on the data movement required to solve a computational problem, and then developing communication-optimal algorithms that attain these bounds.This thesis extends previous research on communication bounds and computational kernels by presenting bounds on the energy consumption of a large class of algorithms. These bounds apply to sequential, distributed parallel and heterogeneous machine models and we detail methods to further extend these models to larger classes of machines. We argue that the energy consumption of computational kernels is usually predictable and can be modeled via linear models with a handful of terms. Thus, these energy models (and the accompanying bounds) may apply to many HPC applications when used in composition.Given energy bounds, we analyze the implications of such results under additional constraints, such as an upper bound on runtime, and also suggest directions for future research that may aid future development of a hardware/software co-tuning process. Further, we present a new model of energy efficiency, Cityscape, that allows hardware designers to quickly target areas for improvement in hardware attributes. We believe that combining our bounds with other models of energy consumption may provide a useful method for such co-tuning; i.e. to enable algorithm and hardware architects to develop provably energy-optimal algorithms on customized hardware platforms