Publications by authors named "D Fullwood"

Flexible high-deflection strain gauges have been demonstrated to be cost-effective and accessible sensors for capturing human biomechanical deformations. However, the interpretation of these sensors is notably more complex compared to conventional strain gauges, particularly during dynamic motion. In addition to the non-linear viscoelastic behavior of the strain gauge material itself, the dynamic response of the sensors is even more difficult to capture due to spikes in the resistance during strain path changes.

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Wearable nanocomposite stretch sensors are an exciting new development in biomaterials for biomechanical motion-tracking technology, with applications in the treatment of low back pain, knee rehabilitation, fetal movement tracking, and other fields. When strained, the resistance of the low-cost sensors is reduced, enabling human motion to be monitored using a suitable sensor array. However, current sensor technologies have exhibited significant drift, in the form of increased electrical resistance, if left stored in typical room conditions.

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This study examines the specimen size-dependent deformation behavior of commercially pure titanium grade 4 (cp-Ti grade 4) sheets under tension, with strain paths between uniaxial tension (UT) and plane-strain tension and compares the results with cyclic bending under tension (CBT) data. Specimens of varying widths (11.7, 20, 60, 100, and 140 mm) were tested in both rolling (RD) and transverse (TD) directions.

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Decentralized clinical trials (DCTs) provide the opportunity to bring interventional studies closer to participants in their homes or a suitable location closer to prospective participants, thus increasing participants' diversity, accrual, retention, health care, and research access. However, little is known about the burden of caring for cancer patients participating in DCTs. This article describes how DCTs might affect the caregivers of cancer patients.

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Understanding health outcomes requires robust community relationships with potential research participants. Traditional recruitment methods have led to low engagement, particularly among Black men, negatively impacting their participation in clinical research. The aim of this research was to share how a relationship-based recruitment approach proved successful for recruiting this population.

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