Results 111 to 120 of about 19,982,077 (356)

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, Talia Robinson, Marina Rodriguez Alonso, Adela Francis Malave, Roos J. Jutten, Michael J. Properzi, Brian C. Healy, Jackson C. Thompson, Grace Del Carmen Montenegro, Emma Thibault, Dana Penney, Randall Davis, Reisa A. Sperling, Kathryn V. Papp, Keith A. Johnson, Julie C. Price, Dorene M. Rentz   +16 more
wiley   +1 more source

Low-Cost Control and Measurement Circuit for the Implementation of Single Element Heat Dissipation Soil Water Matric Potential Sensor Based on a SnSe₂ Thermosensitive Resistor. [PDF]

Sensors (Basel), 2021
Morais F, Carvalhaes-Dias P, Zhang Y, Cabot A, Flosi FS, Duarte LC, Dos Santos A, Dias JAS.   +7 more
europepmc   +1 more source

Fluid and Neuroimaging Biomarkers in Microgliopathy Colony‐Stimulating Factor‐1 Receptor‐Related Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela, Madison Reeves, Karen Jansen‐West, Judith Dunmore, Yuping Song, Audrey Strongosky, Sunil Gandhi, Gilana Pikover, Matt Blurton‐Jones, Robert C. Spitale, Erik H. Middlebrooks, Leonard Petrucelli, Mercedes Prudencio, Zbigniew K. Wszolek   +13 more
wiley   +1 more source

Cost‐effectiveness of basic vision rehabilitation (The basic VRS‐effect study): study protocol for a randomised controlled trial

, 2020
Laura Hernández‐Moreno, Hugo Senra, Peter Lewis, Natacha Moreno, João M. M. Linhares, Rui Santana, Pedro Lima Ramos, Ana Patrícia Marques, António Filipe Macedo   +8 more
openalex   +2 more sources

Development and Implementation of a Low-cost Automatic Dual-axis Solar Tracker through Hardware/Software Embedded Program Control

, 2021
Louis Tersoo Abiem, Clement Akoshile, T. B. Ajibola   +2 more
openalex   +2 more sources

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

Sustainability Evaluation of Residential Buildings Based on the Footprint Family: Application to Case Studies in Andalusia

Buildings
The criteria on green public procurement of the European Union establish that the economic budgets of building projects must be complemented by their derived environmental and social costs.
Jaime Solís-Guzmán, Paula Garzón-González, Patricia González-Vallejo, Madelyn Marrero   +3 more
doaj   +1 more source

Design of Robust Output Feedback Guaranteed Cost Control for a Class of Nonlinear Discrete-Time Systems [PDF]

, 2014
Yan Zhang, Yali Dong, Tianrui Li
openalex   +1 more source

The Cost-Effectiveness of an Accelerated Learning Program on the Literacy, Numeracy and Social-Emotional Learning Outcomes of Out-of-School Children in Northeast Nigeria: Evidence from a Mixed Methods Randomized Controlled Trial [PDF]

, 2022
Silvia Díazgranados Ferráns, Jeongmin Lee, Chinedu Ohanyido, Kayla Hoyer, Adane Miheretu   +4 more
openalex   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

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, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source