Heavy Light: Transformation of Matter in Relation to Growth and Decay

Through my artwork I explore the cyclical relationship and inherent inevitability between the processes of growth and decay. I engage notions of place, memory, fluctuation, and ephemerality. Drawing inspiration from an abandoned house and its many atrophying, accumulated contents, I examine the human impact upon our ecological surroundings and personal domains, tied to notions of finality and sustainability. Using light and time as both narrative elements and the physical components to cultivate images, I create hybrid prints that weave a story of our ever-changing territories. I present visual works that challenge our idealized views of life, and call attention to the surprising beauty within overlooked natural processes, particularly decomposition. My generative process and use of amorphous materials embed meaning through use of metaphor, and underlie my fascination with the transformation of the ordinary or the unexpected

Revisiting hylomorphism: What can it contribute to our understanding of information systems?

Theorising about digital technology is core to the IS discipline. This paper presents an interpretation of technology using hylomorphism, the theory that material objects comprise both matter and form. A contemporary understanding of hylomorphism argues that the form of an object is dynamic structure, which may be actualised in the process of interacting with other objects. This paper arose out of a critical realist study on the use of technology in the classroom by senior secondary students in New Zealand. The role of theory in critical realism is outlined, and then the findings that stimulated this paper are presented. A brief history of hylomorphism is discussed before moving to the contemporary revival of Aristotelian theories. Some implications of this theory on IS research are presented, including an outline of emergence and methodological considerations

Lower Extremity Joint Stiffness During Running in Adolescents with Autism Spectrum Disorder

During late adolescence, children undergo rapid skeletal growth changes leaving the child more vulnerable to injury during physical activity. This is consistent for autistic youth, who reportedly enjoy individual activities, such as running, more than team-based sports [1-3]. Inadequate joint stiffness is one of several factors that may influence injury risk [4]. The purpose of this study was to examine lower extremity joint stiffness in autistic and non-autistic matched controls at self-selected and matched running speeds. Twenty-two persons with a confirmed autism spectrum disorder (ASD) diagnosis and seventeen age, sex, and body mass index controls (CON) were enrolled into the study. Position and force data were collected in the Neuromechanics Laboratory using the motion capture system. Participants were asked to complete a series of over-ground running trials at their self-selected speed and a standardized speed of 3.0 m/s. Joint stiffness was calculated as the quotient of the change in joint moment and the change in joint angle during the energy absorption period of stance. Statistical analyses were performed in SPSS (version 27, IBM Corp.). Stiffness and changes in joint moments were analyzed using 2 (group) x 2 (speed) analyses of variance. There were no significant interactions between groups and speeds (p\u3e0.05) for any variable. Persons with ASD had reduced knee and ankle joint stiffness (all p Persons with ASD had reduced lower extremity stiffness, which was due to their reduced joint moments. Decreased joint stiffness by those with ASD could be indicative of a less efficient running style whereby the elastic recoil is not being optimally utilized.https://digitalcommons.odu.edu/gradposters2022_education/1006/thumbnail.jp

Biaxial Tensile Strain Enhances Electron Mobility of Monolayer Transition Metal Dichalcogenides

Strain engineering can modulate the material properties of two-dimensional (2D) semiconductors for electronic and optoelectronic applications. Recent theory and experiments have found that uniaxial tensile strain can improve the electron mobility of monolayer MoS$_2$, a 2D semiconductor, but the effects of biaxial strain on charge transport are not well-understood in 2D semiconductors. Here, we use biaxial tensile strain on flexible substrates to probe the electron mobility in monolayer WS$_2$ and MoS$_2$ transistors. This approach experimentally achieves ~2x higher on-state current and mobility with ~0.3% applied biaxial strain in WS$_2$, the highest mobility improvement at the lowest strain reported to date. We also examine the mechanisms behind this improvement through density functional theory simulations, concluding that the enhancement is primarily due to reduced intervalley electron-phonon scattering. These results underscore the role of strain engineering 2D semiconductors for flexible electronics, sensors, integrated circuits, and other optoelectronic applications.Comment: Corrected titl

Reduction of Healthcare-Associated Infections by Exceeding High Compliance with Hand Hygiene Practices

Improving hand hygiene from high to very high compliance has not been documented to decrease healthcare-associated infections. We conducted longitudinal analyses during 2013–2015 in an 853-bed hospital and observed a significantly increased hand hygiene compliance rate (p<0.001) and a significantly decreased healthcare-associated infection rate (p = 0.0066)

Adams-Based Rover Terramechanics and Mobility Simulator - ARTEMIS

The Mars Exploration Rovers (MERs), Spirit and Opportunity, far exceeded their original drive distance expectations and have traveled, at the time of this reporting, a combined 29 kilometers across the surface of Mars. The Rover Sequencing and Visualization Program (RSVP), the current program used to plan drives for MERs, is only a kinematic simulator of rover movement. Therefore, rover response to various terrains and soil types cannot be modeled. Although sandbox experiments attempt to model rover-terrain interaction, these experiments are time-intensive and costly, and they cannot be used within the tactical timeline of rover driving. Imaging techniques and hazard avoidance features on MER help to prevent the rover from traveling over dangerous terrains, but mobility issues have shown that these methods are not always sufficient. ARTEMIS, a dynamic modeling tool for MER, allows planned drives to be simulated before commands are sent to the rover. The deformable soils component of this model allows rover-terrain interactions to be simulated to determine if a particular drive path would take the rover over terrain that would induce hazardous levels of slip or sink. When used in the rover drive planning process, dynamic modeling reduces the likelihood of future mobility issues because high-risk areas could be identified before drive commands are sent to the rover, and drives planned over these areas could be rerouted. The ARTEMIS software consists of several components. These include a preprocessor, Digital Elevation Models (DEMs), Adams rover model, wheel and soil parameter files, MSC Adams GUI (commercial), MSC Adams dynamics solver (commercial), terramechanics subroutines (FORTRAN), a contact detection engine, a soil modification engine, and output DEMs of deformed soil. The preprocessor is used to define the terrain (from a DEM) and define the soil parameters for the terrain file. The Adams rover model is placed in this terrain. Wheel and soil parameter files can be altered in the respective text files. The rover model and terrain are viewed in Adams View, the GUI for ARTEMIS. The Adams dynamics solver calls terramechanics subroutines in FORTRAN containing the Bekker-Wong equations

Invasive cutaneous rhizopus infections in an immunocompromised patient population associated with hospital laundry carts

Mucormycosis is an invasive fungal infection with high morbidity and mortality that most commonly occurs in immunocompromised hosts.1–5 Cutaneous mucormycosis is rare and can be acquired through direct contact of the fungi with non-intact skin or mucous membranes.3,4,7–9 Outbreaks of mucormycosis associated with contaminated adhesive bandages, ostomy supplies, wooden tongue depressors, and linen have been published.1,6–9 This is a report of a cluster of cutaneous mucormycosis with Rhizopus that occurred in 4 immunocompromised inpatients housed primarily in the same intensive care unit (ICU) prior to infection

Feasibility and clinical impact of sharing patient-reported symptom toxicities and performance status with clinical investigators during a phase 2 cancer treatment trial

Clinicians can miss up to half of patients’ symptomatic toxicities in cancer clinical trials and routine practice. Although patient-reported outcome questionnaires have been developed to capture this information, it is unclear whether clinicians will make use of patient-reported outcomes to inform their own toxicity documentation, or to prompt symptom management activities

Challenges in control of COVID-19: short doubling time and long delay to effect of interventions

Early assessments of the growth rate of COVID-19 were subject to significant uncertainty, as expected with limited data and difficulties in case ascertainment, but as cases were recorded in multiple countries, more robust inferences could be made. Using multiple countries, data streams and methods, we estimated that, when unconstrained, European COVID-19 confirmed cases doubled on average every 3 days (range 2.2-4.3 days) and Italian hospital and intensive care unit admissions every 2-3 days; values that are significantly lower than the 5-7 days dominating the early published literature. Furthermore, we showed that the impact of physical distancing interventions was typically not seen until at least 9 days after implementation, during which time confirmed cases could grow eightfold. We argue that such temporal patterns are more critical than precise estimates of the time-insensitive basic reproduction number R0 for initiating interventions, and that the combination of fast growth and long detection delays explains the struggle in countries' outbreak response better than large values of R0 alone. One year on from first reporting these results, reproduction numbers continue to dominate the media and public discourse, but robust estimates of unconstrained growth remain essential for planning worst-case scenarios, and detection delays are still key in informing the relaxation and re-implementation of interventions. This article is part of the theme issue 'Modelling that shaped the early COVID-19 pandemic response in the UK'

Perturbed Field Ionization for Improved State Selectivity

Selective field ionization (SFI) is used to determine the state or distribution of states to which a Rydberg atom is excited. By evolving a small perturbation to the ramped electric field using a genetic algorithm, the shape of the time-resolved ionization signal can be controlled. This allows for the separation of signals from pairs of states that would be indistinguishable with unperturbed SFI. Measurements and calculations are presented that demonstrate this technique and shed light on how the perturbation directs the pathway of the electron to ionization. Pseudocode for the genetic algorithm is provided. Using the improved resolution afforded by this technique, quantitative measurements of the 36p3/2 + 36p3/2 --\u3e 36s1/2 + 37s1/2 dipole–dipole interaction are made