Results 91 to 100 of about 968,453 (359)

Portable Low‐Field Magnetic Resonance Imaging in People With Human Immunodeficiency Virus

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The aging population of people with HIV (PWH) raises heightened concerns regarding accelerated aging and dementia. Portable, low‐field MRI (LF‐MRI) is an innovative technology that could enhance access and facilitate routine monitoring of PWH.
Annabel Sorby‐Adams, Malachi Keo, Jennifer Guo, Daire Daly, Richard Ahern, Kimon Zachary, Gregory Robbins, Rajesh T. Gandhi, Bragi Sveinsson, Adam de Havenon, Kevin N. Sheth, Otto Rapalino, Juan Eugenio Iglesias Gonzales, W. Taylor Kimberly, Shibani S. Mukerji   +14 more
wiley   +1 more source

Carbon Free Boston: Transportation Technical Report [PDF]

, 2019
Part of a series of reports that includes: Carbon Free Boston: Summary Report; Carbon Free Boston: Social Equity Report; Carbon Free Boston: Technical Summary; Carbon Free Boston: Buildings Technical Report; Carbon Free Boston: Waste Technical ...
Boone, Scott, Castigliego, Joshua R., Chang, Xiao Yun (Jane), Cleveland, Cutler J., Milkovits, Martin, Porter, Christopher, Walsh, Michael J.   +6 more
core  

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Intelligent Transport Systems

International Journal for Research in Applied Science and Engineering Technology, 2022
Abstract: Growing economic activities aand others are among the factors that make many cities busy places today especially in traffic systems. Road networks that seem to be spacious sometimes become completely congested so much so that traffic mobility looks standstill.
openaire   +1 more source

Where, How, and How Much? A Multicenter Cohort Study of the Relationship Across Lupus Decision‐Aid Modality, Place of Administration, Interruption and Viewing Completeness, and Patient‐Reported Outcomes

Arthritis Care &Research, EarlyView.
Objective We assessed whether shared decision‐making (SDM) and patient acceptability, feasibility, and overall satisfaction with a computerized patient decision aid (PtDA) for patients with systemic lupus erythematosus (SLE) differs by PtDA setting, modality, and the viewing experience. Methods Patients with SLE were invited to view a self‐administered
Jasvinder A. Singh, Mark Beasley, Larry R. Hearld, for the Implementing Decision‐Aid for Lupus in Clinics (IDEAL) Consortium, Winn Chatham, Jasvinder Singh, Sonali Narain, Narender Annapureddy, Diane Kamen, Kimberly Trotter, Vikas Majithia, Cathy Ching, Zineb Aouhab, Swamy Venturupalli, Rosalind Ramsey‐Goldman, Alfred Kim, Maureen McMahon, Sam Lim, Kalpana Bhairavarasu, Alexa Meara, Kenneth Kalunian   +20 more
wiley   +1 more source

Data Source Importance Evaluation for Highway Networks: A Complex Network-Based Approach

Promet (Zagreb)
Data collection technologies or data sources are critical for highway network management. However, due to the limitations on available management resources, determining the importance of these data sources is necessary to allocate these resources ...
Huangqin HUANG, Jianhua GUO, Xiangyu SHI, Leixiao SHEN   +3 more
doaj   +1 more source

Lived and Care Experiences of Chronic Musculoskeletal Shoulder Pain in Australian Adults: A Qualitative Study

Arthritis Care &Research, EarlyView.
Objective Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centered care and informing local service pathways and care guidelines or standards.
Sonia Ranelli, Joanne E. Jordan, Ilana N. Ackerman, Alison Thorpe, Jennifer G. Persaud, Linda J. Woodhouse, Jason Chua, Ben Horgan, Andrew M. Briggs   +8 more
wiley   +1 more source

Simultaneous Traffic Sign Detection and Boundary Estimation using Convolutional Neural Network

, 2018
We propose a novel traffic sign detection system that simultaneously estimates the location and precise boundary of traffic signs using convolutional neural network (CNN).
Kim, Kang, Lee, Hee Seok
core   +1 more source

IEEE Intelligent Transportation Systems Society Information [PDF]

, 2021
Miriam Snyder, D Javier, J Sanchez Medina   +2 more
openalex   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source