Results 71 to 80 of about 133,903 (283)

Financial Distress and its Determinants in Rheumatoid Arthritis

open access: yesArthritis Care &Research, Accepted Article.
Objective To quantify the degree of financial distress and identify its determinants in adults with rheumatoid arthritis (RA) given the frequent chronic use of expensive disease modifying therapies. Methods We identified adults enrolled in the FORWARD databank with either RA or non‐inflammatory musculoskeletal disease (NIMSKD) completing the Functional
Amber Brown Keebler   +5 more
wiley   +1 more source

Testing A Personalized Approach to Chronic Low Back Pain: A Randomized Controlled Trial in Older Veterans

open access: yesArthritis Care &Research, Accepted Article.
Objective We aimed to test the efficacy of personalized treatment of older Veterans with chronic low back pain (CLBP) delivered by Aging Back Clinics (ABC) as compared with usual care (UC). Methods Two hundred ninety‐nine Veterans age 65‐89 with CLBP from 3 VA medical centers underwent baseline testing, randomization to ABC or UC and 12 months follow ...
Debra K. Weiner   +9 more
wiley   +1 more source

This is not the way: global directional cues do not improve spatial learning in an immersive virtual environment

open access: yesCognitive Research
Spatial navigation relies on extracting environmental information to determine where to go. To support navigation behavior, navigational aids, such as maps, compasses, or global positioning systems (GPSs), offer access to easily extractible information ...
Ece Yüksel   +2 more
doaj   +1 more source

Analysis and use of fuzzy intelligent technique for navigation of humanoid robot in obstacle prone zone

open access: yesDefence Technology, 2018
With the increasing use of humanoid robots in several sectors of industrial automation and manufacturing, navigation and path planning of humanoids has emerged as one of the most promising area of research.
Asita Kumar Rath   +4 more
doaj   +1 more source

Summary of paper: Area navigation implementation for a microcomputer-based Loran-C receiver [PDF]

open access: yes
The development of an area navigation program and the implementation of this software on a microcomputer-based Loran-C receiver to provide high-quality, practical area navigation information for general aviation are described.
Oguri, Fujiko
core   +1 more source

Hippocampus and retrosplenial cortex combine path integration signals for successful navigation [PDF]

open access: yes, 2013
The current study used fMRI in humans to examine goal-directed navigation in an open field environment. We designed a task that required participants to encode survey-level spatial information and subsequently navigate to a goal location in either first ...
Brown, Thackery I   +5 more
core   +3 more sources

Kinematics During Total Knee Arthroplasty Using the Navigation System ∼Mobile Bearing CR vs. Fixed Bearing CR∼ [PDF]

open access: hybrid, 2023
Marcelo Kubota Brazil   +3 more
openalex   +1 more source

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

open access: yesAdvanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed   +3 more
wiley   +1 more source

Inverse Optimal Planning for Air Traffic Control

open access: yes, 2019
We envision a system that concisely describes the rules of air traffic control, assists human operators and supports dense autonomous air traffic around commercial airports.
Kapoor, Ashish   +3 more
core   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

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