Virtual Reality (VR) has the potential to support mobile knowledge workers by complementing traditional input devices with a large three-dimensional output space and spatial input. Previous research on supporting VR knowledge work explored domains such as text entry using physical keyboards and spreadsheet interaction using combined pen and touch input. Inspired by such work, this paper probes the VR design space for authoring presentations in mobile settings. We propose PoVRPoint-a set of tools coupling pen- and touch-based editing of presentations on mobile devices, such as tablets, with the interaction capabilities afforded by VR. We study the utility of extended display space to, for example, assist users in identifying target slides, supporting spatial manipulation of objects on a slide, creating animations, and facilitating arrangements of multiple, possibly occluded shapes or objects. Among other things, our results indicate that 1) the wide field of view afforded by VR results in significantly faster target slide identification times compared to a tablet-only interface for visually salient targets; and 2) the three-dimensional view in VR enables significantly faster object reordering in the presence of occlusion compared to two baseline interfaces. A user study further confirmed that the interaction techniques were found to be usable and enjoyable.
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http://dx.doi.org/10.1109/TVCG.2022.3150474 | DOI Listing |
J Am Heart Assoc
January 2025
Department of Population Health Sciences Weill Cornell Medicine New York NY.
Background: Transport by mobile stroke units (MSUs), which provide access to computed tomography scanning and intravenous blood pressure medications and thrombolytics, reduces time to treatment and may improve short-term functional outcomes for patients with acute stroke. The longer-term clinical and financial impacts remain incompletely understood. The aim of the study was to determine whether MSU care is associated with better health, utilization, and spending outcomes for patients with suspected acute stroke.
View Article and Find Full Text PDFChembiochem
January 2025
University of Teramo: Universita degli Studi di Teramo, Veterinary Medicine, Piano d'Accio snc, 64100, Teramo, ITALY.
In this study, we employed a novel fluorescent probe, RO7304924-which selectively targets cannabinoid 2 receptor (CB2R)-to assess the lateral mobility of CB2R within the plasma membrane of Chinese hamster ovary cells stably expressing a functional, untagged receptor variant. Utilizing confocal fluorescence recovery after photobleaching (FRAP), we quantified the diffusion coefficient and mobile fraction of CB2R, thereby demonstrating the efficacy of RO7304924 as an innovative tool for elucidating the dynamics of this major endocannabinoid-binding G protein-coupled receptor. Our present findings highlight the potential of combining advanced ligand-based fluorescent probes with FRAP for future investigations into the biochemical details of CB2R mobility in living cells, and its impact on receptor-dependent cellular processes.
View Article and Find Full Text PDFF1000Res
January 2025
Faculty of Medicine and Health Sciences, Division of Epidemiology and Biostatistics, Stellenbosch University Centre for Evidence-Based Health Care, Cape Town, South Africa.
Background: Tuberculosis (TB) is a leading cause of death worldwide with over 90% of reported cases occurring in low- and middle-income countries (LMICs). Pre-treatment loss to follow-up (PTLFU) is a key contributor to TB mortality and infection transmission.
Objectives: We performed a scoping review to map available evidence on interventions to reduce PTLFU in adults with pulmonary TB, identify gaps in existing knowledge, and develop a conceptual framework to guide intervention implementation.
Global disparities in neurosurgical care necessitate innovations addressing affordability and accuracy, particularly for critical procedures like ventriculostomy. This intervention, vital for managing life-threatening intracranial pressure increases, is associated with catheter misplacement rates exceeding 30% when using a freehand technique. Such misplacements hold severe consequences including haemorrhage, infection, prolonged hospital stays, and even morbidity and mortality.
View Article and Find Full Text PDFPhilos Trans A Math Phys Eng Sci
January 2025
Indian Institute of Technology Gandhinagar, Gandhinagar, Gujarat, India.
Modern language models such as bidirectional encoder representations from transformers have revolutionized natural language processing (NLP) tasks but are computationally intensive, limiting their deployment on edge devices. This paper presents an energy-efficient accelerator design tailored for encoder-based language models, enabling their integration into mobile and edge computing environments. A data-flow-aware hardware accelerator design for language models inspired by Simba, makes use of approximate fixed-point POSIT-based multipliers and uses high bandwidth memory (HBM) in achieving significant improvements in computational efficiency, power consumption, area and latency compared to the hardware-realized scalable accelerator Simba.
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