Results 161 to 170 of about 3,540,419 (389)
Higher Amyloid and Tau Burden Is Associated With Faster Decline on a Digital Cognitive Test
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective A 2‐min digital clock‐drawing test (DCTclock) captures more granular features of the clock‐drawing process than the pencil‐and‐paper clock‐drawing test, revealing more subtle deficits at the preclinical stage of Alzheimer's disease (AD). A previous cross‐sectional study demonstrated that worse DCTclock performance was associated with
Jessie Fanglu Fu +16 more
wiley +1 more source
Applied SciencesFused Filament Fabrication (FFF) enables the manufacturing of complex polymer components. However, surface finish and dimensional accuracy remain key limitations for their integration into functional assemblies.
Sergio Martín-Béjar +3 more
doaj +1 more source
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 +14 more
wiley +1 more source
NONCONVENTIONAL ASPECTS IN EVALUATION OF THE MACHINABILITY BY DRILLING UNDER CONSTANT FEED FORCE
Nonconventional Technologies Review, 2016 The information concerning the evaluation of distinct materials machinability by drilling under constant feed force can be used in optimal design of the cutting conditions for workpieces made of such materials.
Vasile Manole +4 more
doaj
Real-Time Machine Learning Detection of Telegram-Based Pump-and-Dump Schemes [PDF]
Manuel Bolz +6 more
openalex +1 more source
Machine Learning as a Tool for Hypothesis Generation
, 2023 J. Ludwig, Sendhil Mullainathan
openalex +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein +7 more
wiley +1 more source
Machines vs Malaria: A Flow-Based Preparation of the Drug Candidate OZ439
, 2015 Shing‐Hing Lau +6 more
openalex +1 more source
Superiorities of Deep Extreme Learning Machines against Convolutional Neural Networks
, 2021 Gökhan Altan, Yakup Kutlu
openalex +1 more source
Dynamic compensation of stray electric fields in an ion trap using machine learning and adaptive algorithm [PDF]
, 2021 Moji Ghadimi +5 more
openalex +1 more source