Development of an empirically based dynamic biomechanical strength model

The focus here is on the development of a dynamic strength model for humans. Our model is based on empirical data. The shoulder, elbow, and wrist joints are characterized in terms of maximum isolated torque, position, and velocity in all rotational planes. This information is reduced by a least squares regression technique into a table of single variable second degree polynomial equations determining the torque as a function of position and velocity. The isolated joint torque equations are then used to compute forces resulting from a composite motion, which in this case is a ratchet wrench push and pull operation. What is presented here is a comparison of the computed or predicted results of the model with the actual measured values for the composite motion

Confirming the existence of π-allyl-palladium intermediates during the reaction of meta photocycloadducts with palladium(ii) compounds

The transient existence of π-allyl-palladium intermediates formed by the reaction of Pd(OAc)2 and anisole-derived meta photocycloadducts has been demonstrated using NMR techniques. The intermediates tended to be short-lived and underwent rapid reductive elimination of palladium metal to form allylic acetates, however this degradation process could be delayed by changing the reaction solvent from acetonitrile to chloroform

Crafting a critical technical practice

In recent years, the category of practice-based research has become an essential component of discourse around public funding and evaluation of the arts in British higher education. When included under the umbrella of public policy concerned with the creative industries", technology researchers often find themselves collaborating with artists who consider their own participation to be a form of practice-based research. We are conducting a study under the Creator Digital Economies project asking whether technologists, themselves, should be considered as engaging in practice-based research, whether this occurs in collaborative situations, or even as a component of their own personal research [1]

Roles of Candida albicans Mig1 and Mig2 in glucose repression, pathogenicity traits, and SNF1 essentiality.

Metabolic adaptation is linked to the ability of the opportunistic pathogen Candida albicans to colonize and cause infection in diverse host tissues. One way that C. albicans controls its metabolism is through the glucose repression pathway, where expression of alternative carbon source utilization genes is repressed in the presence of its preferred carbon source, glucose. Here we carry out genetic and gene expression studies that identify transcription factors Mig1 and Mig2 as mediators of glucose repression in C. albicans. The well-studied Mig1/2 orthologs ScMig1/2 mediate glucose repression in the yeast Saccharomyces cerevisiae; our data argue that C. albicans Mig1/2 function similarly as repressors of alternative carbon source utilization genes. However, Mig1/2 functions have several distinctive features in C. albicans. First, Mig1 and Mig2 have more co-equal roles in gene regulation than their S. cerevisiae orthologs. Second, Mig1 is regulated at the level of protein accumulation, more akin to ScMig2 than ScMig1. Third, Mig1 and Mig2 are together required for a unique aspect of C. albicans biology, the expression of several pathogenicity traits. Such Mig1/2-dependent traits include the abilities to form hyphae and biofilm, tolerance of cell wall inhibitors, and ability to damage macrophage-like cells and human endothelial cells. Finally, Mig1 is required for a puzzling feature of C. albicans biology that is not shared with S. cerevisiae: the essentiality of the Snf1 protein kinase, a central eukaryotic carbon metabolism regulator. Our results integrate Mig1 and Mig2 into the C. albicans glucose repression pathway and illuminate connections among carbon control, pathogenicity, and Snf1 essentiality

OMG Do Not Say LOL: Obese Adolescents' Perspectives on the Content of Text Messages to Enhance Weight Loss Efforts

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/93769/1/oby.2011.266.pd

A Teaching Innovation on Poverty for Interprofessional Students: Cost of Poverty Experience Simulation

INTRODUCTION Cost of Poverty Experience (COPE) simulation is an innovative teaching methodology to demonstrate the obstacles and challenges of poverty that contribute to those risks. The aim of the study was to evaluate the change in attitudes regarding people living in poverty among interprofessional health science students. METHODS Medicine, nursing, pharmacy and rehabilitation therapy students in the 2018 Interprofessional Education class (N=100) were enrolled. Interprofessional student teams were assigned family roles, given limited resources and simulated poverty challenges such as unemployment, childcare concerns, limited access to healthy food, and incarceration. A pre- and post-simulation survey measured changes in participants’ poverty awareness consisting of three domains - identifying barriers to poverty, confidence in one’s ability to address poverty, and likelihood to engage in behaviors to address poverty. The post survey also included questions on insights gained and recognition of organizational systems that perpetuate poverty. Statistical analysis including descriptive statistics and paired t-tests were conducted in SPSS-v23. RESULTS The confidence in ability domain that included understanding obstacles, identifying key issues and having impact showed a significant difference between pre-test (M=8.63, SD= 1.71) and post-test (M=9.31, SD=1.90). However, no significant change was reported for identifying barriers and likelihood to engage in behaviors to address poverty. Additionally, in post-survey, more than 90% students reported increased mindfulness of poverty, self-reflection, and recognize that organizational systems create and perpetuate poverty. CONCLUSION Poverty immersive simulation experience is an essential education tool, as it motivates critical self-reflection and improves one’s confidence to engage in addressing poverty

Comparison of ICD code-based diagnosis of obesity with measured obesity in children and the implications for health care cost estimates

<p>Abstract</p> <p>Background</p> <p>Administrative health databases are a valuable research tool to assess health care utilization at the population level. However, their use in obesity research limited due to the lack of data on body weight. A potential workaround is to use the ICD code of obesity to identify obese individuals. The objective of the current study was to investigate the sensitivity and specificity of an ICD code-based diagnosis of obesity from administrative health data relative to the gold standard measured BMI.</p> <p>Methods</p> <p>Linkage of a population-based survey with anthropometric measures in elementary school children in 2003 with longitudinal administrative health data (physician visits and hospital discharges 1992-2006) from the Canadian province of Nova Scotia. Measured obesity was defined based on the CDC cut-offs applied to the measured BMI. An ICD code-based diagnosis obesity was defined as one or more ICD-9 (278) or ICD-10 code (E66-E68) of obesity from a physician visit or a hospital stay. Sensitivity and specificity were calculated and health care cost estimates based on measured obesity and ICD-based obesity were compared.</p> <p>Results</p> <p>The sensitivity of an ICD code-based obesity diagnosis was 7.4% using ICD codes between 2002 and 2004. Those correctly identified had a higher BMI and had higher health care utilization and costs.</p> <p>Conclusions</p> <p>An ICD diagnosis of obesity in Canadian administrative health data grossly underestimates the true prevalence of childhood obesity and overestimates the health care cost differential between obese and non-obese children.</p

Confirming the existence of π-allyl-palladium intermediates during the reaction of meta photocycloadducts with palladium(ii) compounds

The transient existence of π-allyl-palladium intermediates formed by the reaction of Pd(OAc)2 and anisole-derived meta photocycloadducts has been demonstrated using NMR techniques. The intermediates tended to be short-lived and underwent rapid reductive elimination of palladium metal to form allylic acetates, however this degradation process could be delayed by changing the reaction solvent from acetonitrile to chloroform

Integration of Augmented Reality and Neuromuscular Control Systems for Remote Vehicle Operations

Traditional remotely operated vehicles (ROV’s) require extensive setup and unnatural control systems. Integrating wearable devices as a control system, operators gain mobility and situational awareness to execute additional tasks. Analysis is conducted to understand if wearable devices connected by Internet of Things (IoT) allows for a more natural control system. A gesture recognition armband is worn around the operator’s forearm reading surface electromyography (sEMG) signals produced by their muscles to recognize hand gestures. An Augmented Reality (AR) headset overlays supplemental information on a heads-up display (HUD). IoT enables each component of the system to transmit and receive data over a network. The AR headset serves as the central processing unit, processing sEMG signals and transmitting respective commands to a ROV. The ROV acts on the received commands and transmits data, describing its actions and environment, to be displayed. A library of electrical signals that relate to hand gestures defined in US Army Publication TC3-21.60 are developed as a control set of commands. Signal processing and machine learning methods are implemented to reduce cross-talk and interference of weak sEMG signals for accurate gesture recognition. Results provide insight on the effectiveness of neuromuscular control compared to human-to-human instruction, and how wearable control systems can increase operator situational awareness