Results 41 to 50 of about 597,418 (273)

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

From Reconstruction to Analysis. Re-use and re-purposing of 3D scan datasets obtained from ancient Greek marble sculpture

Studies in Digital Heritage, 2017
The paper describes two related research projects concerning the sculptural decoration of a well-known classical Greek monument, the temple of Zeus at Olympia. Both projects are based on the same dataset, i.e.
András Patay-Horváth, Leif Christiansen   +1 more
doaj   +1 more source

Digitization, Visualization and Accessibility of Globe Virtual Collection: Case Study Jüttner’s Globe

ISPRS International Journal of Geo-Information, 2023
The aim of the article is to prepare a model for making available metadata and digital objects of the new Globe Virtual Collection for the Map Collection of the Faculty of Science of Charles University.
Eva Štefanová, Eva Novotná, Miroslav Čábelka   +2 more
doaj   +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

An archaeoacoustic analysis of Wren’s auditorium churches: A case study of St Stephen Walbrook (1672–1679), London

Acta Acustica
Sir Christopher Wren (1632–1723) was responsible for the rebuilding of 52 parish churches in 17th-century London after the Great Fire of 1666. In literature his parish church designs are often referred to as “auditorium churches”, as Wren himself claimed
Sluyts Yannick, Houvenaghel Marijke, Morel Anne-Francoise, Rychtarikova Monika, De Jonge Krista   +4 more
doaj   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Fully automatic AI segmentation of oral surgery-related tissues based on cone beam computed tomography images

International Journal of Oral Science
Accurate segmentation of oral surgery-related tissues from cone beam computed tomography (CBCT) images can significantly accelerate treatment planning and improve surgical accuracy.
Yu Liu, Rui Xie, Lifeng Wang, Hongpeng Liu, Chen Liu, Yimin Zhao, Shizhu Bai, Wenyong Liu   +7 more
doaj   +1 more source

Survey, Data Analysis and Modeling Raphael’s Stables in Villa Farnesina, Rome

Heritage, 2023
This work contributes to the knowledge of historical contexts that have radically mutated over centuries and have lost their original characteristics. In these cases, information techniques and technologies can support the reconstruction of peculiarities
Giuseppe Antuono, Maria Rosaria Cundari, Gian Carlo Cundari, Giovanni Maria Bagordo   +3 more
doaj   +1 more source

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher, Charles B. Malpas, Stuart J. McDonald, William T. O’Brien, Craig Despott, Kelly L. Bertram, Matthew P. Pase, Lukas Frontzkowski, Meng Law, Terence J. O’Brien, Lucy Vivash   +10 more
wiley   +1 more source

Digital Reconstruction of Fragmented Cultural Heritage Assets: The Case Study of the Dacian Embossed Disk from Piatra Roșie

Applied Sciences, 2022
The most peculiar characteristic of a cultural heritage is represented by its uniqueness. To ensure that an object is preserved against environmental deterioration, vandal attacks, and accidents, modern Cultural Heritage documentation involves 3D ...
Radu Comes, Călin Gheorghe Dan Neamțu, Cătălin Grec, Zsolt Levente Buna, Cristian Găzdac, Liliana Mateescu-Suciu   +5 more
doaj   +1 more source