Results 51 to 60 of about 3,282,089 (344)

Validity of a Wearable Digital Insole for Assessing Gait ON and OFF in Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Gait impairment is a distinctive symptom of Parkinson's disease that negatively impact mobility. We assessed the validity of wearable digital insoles against a validated reference gait analysis system for measuring select gait characteristics in patients with Parkinson's disease. Methods A comparative analysis between digital insoles
Deborah A. Hall   +16 more
wiley   +1 more source

Decoding quantum errors with subspace expansions

open access: yesNature Communications, 2020
Fault-tolerant quantum computation is still far, but there could be ways in which quantum error correction could improve currently available devices. Here, the authors show how to exploit existing quantum codes through only post-processing and random ...
Jarrod R. McClean   +4 more
doaj   +1 more source

Side Effects of Google [PDF]

open access: yes, 2019
Throughout history, humans and technology have developed simultaneously. The internet is one of the most modern examples of this phenomenon and researchers have noticed that as the internet becomes increasingly available, humans rely on it more.
Fruits, Taylor
core   +1 more source

Evaluation of a Novel Electric Health Record Sidecar Application to Display Rheumatoid Arthritis Clinical Outcomes During Clinic Visits: Results of a Stepped‐Wedge Cluster Randomized Pragmatic Trial

open access: yesArthritis Care &Research, EarlyView.
Objective We developed a novel electronic health record sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk   +16 more
wiley   +1 more source

A population-specific reference panel for improved genotype imputation in African Americans

open access: yesCommunications Biology, 2021
O’Connell et al. construct a new genome-wide imputation reference panel comprising 2,269 individuals of Sub-Saharan African ancestries. They adapt DeepVariant to create best practices for reference panel development and generate a high quality, publicly ...
Jared O’Connell   +14 more
doaj   +1 more source

What Do Large Language Models Know About Materials?

open access: yesAdvanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer   +2 more
wiley   +1 more source

Google Library: Beyond Fair Use? [PDF]

open access: yes, 2005
Last December Google announced the formation of partnerships with select major libraries to begin digitizing and storing the libraries\u27 collections online. Google aims to provide individuals with the ability to search the full text of these books from
Hanratty, Elisabeth
core   +1 more source

Don't let Google know I'm lonely!

open access: yes, 2016
From buying books to finding the perfect partner, we share our most intimate wants and needs with our favourite online systems. But how far should we accept promises of privacy in the face of personal profiling?
Leith, Douglas J., Mac Aonghusa, Pól
core   +1 more source

Managing Library Electronic Resources Using Google Sites [PDF]

open access: yes, 2013
After attempting to use a home-grown Drupal database to administer electronic resources and later a vendor-provided electronic resources management (ERM) system, the University of Alaska Fairbanks Libraries created a Google Site that quickly proved to be
Jensen, Karen
core   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

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