Defining Mobile Tech Posture: Prevalence and Position Among Millennials

Background: Mobile technologies have revolutionized daily life, significantly impacting ADLs and IADLs, as well as use of the hand and upper extremity. The primary objectives of this study are to (a) provide a formal goniometric description of mobile tech posture and (b) examine the prevalence of this sub-optimal posture among a group of graduate students. Method: This study used a cross-sectional study design. Comprehensive goniometric measurements of the neck and upper extremity were taken with participants (N = 46) using their mobile devices while texting or using the Internet. Handheld usage data from the iPhone Screen Time feature (iOS 12) was collected from a sample of healthy young adults. Results: The participants spent an average of 143 min per day using mobile technology. Comprehensive goniometric measurements highlighted positions of clinical concern, including cervical spine flexion, scapular protraction, elbow flexion, and wrist ulnar deviation with thumb flexion. Discussion: Findings aligned with prior research suggesting several hr per day of handheld mobile technology use among young adults. Mobile tech posture, as described by goniometric trends, includes several positions of concern for musculoskeletal imbalance or cumulative trauma disorders (e.g., cubital tunnel syndrome; De Quervain’s tenosynovitis). Further research is recommended to examine broader societal trends and impact on occupational performance

Comparing Learning Platform Impact on Low Vision Education for Occupational Therapists

This pilot study examines the impact of face-to-face, remote, and hybrid learning platforms on satisfaction, confidence, and knowledge-application of occupational therapy practitioners during a synchronous low vision continuing education program. Fifteen participants were divided into three groups, each corresponding to one learning platform. They engaged in two 45-min learning sessions and completed pre, post, and follow-up surveys to measure the impact of the learning platform on the dependent variables of satisfaction, confidence, and knowledge application. No significant differences were found between learning platforms for the three variables, but improvements from pre to follow-up survey were found to be significant for confidence and knowledge application for all groups. These findings indicate that similar education provided to occupational therapy practitioners may result in improved confidence and knowledge application to clinical practice from the beginning to the end of the educational program, despite the learning platform. Flexibility with online learning options increased participation and adherence rates. Synchronous remote and hybrid learning platforms may be as effective as traditional face-to-face methods, specifically with increasing practitioner confidence and knowledge application. Remote options may reduce peer interactions but increase flexibility and convenience with scheduling for program scalability and accessibility

Guildford College of Further and Higher Education: report from the Inspectorate (FEFC inspection report; 55/95 and 65/00)

Comprises two Further Education Funding Council (FEFC) inspection reports for the periods 1994-95 and 1999-2000

Toward adaptive radiotherapy for head and neck patients: Uncertainties in dose warping due to the choice of deformable registration algorithm.

The aims of this work were to evaluate the performance of several deformable image registration (DIR) algorithms implemented in our in-house software (NiftyReg) and the uncertainties inherent to using different algorithms for dose warping

VCU Media Lab

We propose the establishment of a VCU Media Lab – a professional creative media technology unit whose mission is to support the development, design, production and delivery of innovative media, multimedia, computer-based instruction, publications and tools in support of VCU education, research and marketing initiatives. This centrally administered, budgeted and resourced facility will acknowledge, refine, focus and expand media services that are currently being provided at VCU in a decentralized manner

Feasibility of automated 3-dimensional magnetic resonance imaging pancreas segmentation.

PurposeWith the advent of MR guided radiotherapy, internal organ motion can be imaged simultaneously during treatment. In this study, we evaluate the feasibility of pancreas MRI segmentation using state-of-the-art segmentation methods.Methods and materialT2 weighted HASTE and T1 weighted VIBE images were acquired on 3 patients and 2 healthy volunteers for a total of 12 imaging volumes. A novel dictionary learning (DL) method was used to segment the pancreas and compared to t mean-shift merging (MSM), distance regularized level set (DRLS), graph cuts (GC) and the segmentation results were compared to manual contours using Dice's index (DI), Hausdorff distance and shift of the-center-of-the-organ (SHIFT).ResultsAll VIBE images were successfully segmented by at least one of the auto-segmentation method with DI >0.83 and SHIFT ≤2 mm using the best automated segmentation method. The automated segmentation error of HASTE images was significantly greater. DL is statistically superior to the other methods in Dice's overlapping index. For the Hausdorff distance and SHIFT measurement, DRLS and DL performed slightly superior to the GC method, and substantially superior to MSM. DL required least human supervision and was faster to compute.ConclusionOur study demonstrated potential feasibility of automated segmentation of the pancreas on MRI images with minimal human supervision at the beginning of imaging acquisition. The achieved accuracy is promising for organ localization