383 research outputs found

    Validation of Esens Pressure Sensor Array During Walking And Running

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    The eSens Pressure Sensor Array is a prototype device aimed at quantifying the spatiotemporal measurements obtained during walking or running. The objective of the present investigation was to validate the spatiotemporal measurements from the eSens against those of the PKMAS walkway. Twenty-four adults with a mean age of 40.72 years completed the study. Mean group height and weight were 66.64in and 152.48lb respectively. Subjects performed a series of 6 locomotor conditions consisting of 3 differing walking or running speeds. Subjects were asked to walk or run at the instructed speed along a course constructed of markers at 5m or 10m before and after the PKMAS walkway. Subjects would move from one marker to the distal marker before being instructed to turn around and continue until twenty steps were taken on the mat with the foot that instrumented with the eSens. Results showed ICC acceptance (ICC = 0.943) for Stride Time (SdT) during the Slow Walk (SW) condition. No other ICC values showed acceptable agreement between the eSens and PKMAS. These results led to the rejection of the initial hypothesis, that the eSens Pressure Sensor Array as implemented in this study, was a valid tool to quantify spatiotemporal gait measurements

    Preference Identification

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    An experimenter seeks to learn a subject's preference relation. The experimenter produces pairs of alternatives. For each pair, the subject is asked to choose. We argue that, in general, large but finite data do not give close approximations of the subject's preference, even when countably infinite many data points are enough to infer the preference perfectly. We then provide sufficient conditions on the set of alternatives, preferences, and sequences of pairs so that the observation of finitely many choices allows the experimenter to learn the subject's preference with arbitrary precision. The sufficient conditions are strong, but encompass many situations of interest. And while preferences are approximated, we show that it is harder to identify utility functions. We illustrate our results with several examples, including expected utility, and preferences in the Anscombe-Aumann model

    Junior Recital: Nicolas Chambers, saxophone

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    This recital is presented in partial fulfillment of requirements for the degree Bachelor of Music in Performance. Mr. Chambers studies saxophone with Sam Skelton.https://digitalcommons.kennesaw.edu/musicprograms/1109/thumbnail.jp

    Senior Recital: Mark Fucito, trumpet

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    This recital is presented in partial fulfillment of requirements for the degree Bachelor of Music in Music Education. Mr. Fucito studies trumpet with Dr. Douglas Lindsey.https://digitalcommons.kennesaw.edu/musicprograms/1024/thumbnail.jp

    Musculoskeletal comparison of patients with localised versus metastatic prostate cancer

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    Abstract of a presentation at the 2nd Prostate Cancer World Congress, Australia, 17-21 August 201

    Can exercise suppress tumour growth in advanced prostate cancer patients with sclerotic bone metastases? A randomised, controlled study protocol examining feasibility, safety and efficacy

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    Introduction Exercise may positively alter tumour biology through numerous modulatory and regulatory mechanisms in response to a variety of modes and dosages, evidenced in preclinical models to date. Specifically, localised and systemic biochemical alterations produced during and following exercise may suppress tumour formation, growth and distribution by virtue of altered epigenetics and endocrine–paracrine activity. Given the impressive ability of targeted mechanical loading to interfere with metastasis-driven tumour formation in human osteolytic tumour cells, it is of equal interest to determine whether a similar effect is observed in sclerotic tumour cells. The study aims to (1) establish the feasibility and safety of a combined modular multimodal exercise programme with spinal isometric training in advanced prostate cancer patients with sclerotic bone metastases and (2) examine whether targeted and supervised exercise can suppress sclerotic tumour growth and activity in spinal metastases in humans. Methods and analysis A single-blinded, two-armed, randomised, controlled and explorative phase I clinical trial combining spinal isometric training with a modular multimodal exercise programme in 40 men with advanced prostate cancer and stable sclerotic spinal metastases. Participants will be randomly assigned to (1) the exercise intervention or (2) usual medical care. The intervention arm will receive a 3-month, supervised and individually tailored modular multimodal exercise programme with spinal isometric training. Primary endpoints (feasibility and safety) and secondary endpoints (tumour morphology; biomarker activity; anthropometry; musculoskeletal health; adiposity; physical function; quality of life; anxiety; distress; fatigue; insomnia; physical activity levels) will be measured at baseline and following the intervention. Statistical analyses will include descriptive characteristics, t-tests, effect sizes and two-way (group × time) repeated-measures analysis of variance (or analysis of covariance) to examine differences between groups over time. The data-set will be primarily examined using an intention-to-treat approach with multiple imputations, followed by a secondary sensitivity analysis to ensure data robustness using a complete cases approach. Ethics and dissemination Ethics approval was obtained from the Human Research Ethics Committee (HREC) of Edith Cowan University and the Sir Charles Gairdner and Osborne Park Health Care Group. If proven to be feasible and safe, this study will form the basis of future phase II and III trials in human patients with advanced cancer. To reach a maximum number of clinicians, practitioners, patients and scientists, outcomes will be disseminated through national and international clinical, conference and patient presentations, as well as publication in high-impact, peer-reviewed academic journals
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