Results 111 to 120 of about 286,688 (306)

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

Features of digital signal processing algorithms using Galois fields GF(2n+1). [PDF]

PLoS One, 2023
Suleimenov IE, Vitulyova YS, Matrassulova DK.   +2 more
europepmc   +1 more source

CX3CL1 in Early Detection of Alzheimer's Disease: Plasma Dynamics Across Age and Disease Stages

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Backgrounds Alzheimer's disease (AD) is characterized by amyloid‐beta plaques, tau tangles, and neuroinflammation. C‐X3‐C motif chemokine ligand 1 (CX3CL1, also known as fractalkine), a neuroimmune chemokine implicated in AD pathogenesis, shows inconsistent alterations in plasma/serum across studies.
Ling Wang, Yujie Liu, Fei Li, Xuelin Li, Lanlan Li, Jie Zhang, Yali Xu   +6 more
wiley   +1 more source

Multi-Scale ConvNeXt for Robust Brain Tumor Segmentation in Multimodal MRI

Technologies
Vision Transformer (ViT) models are well known for effectively capturing global contextual information through self-attention. In contrast, ConvNeXt’s hierarchical convolutional inductive bias enables the extraction of robust multi-scale features at ...
Jose Luis Lopez-Ramirez, Fernando Daniel Hernandez-Gutierrez, Jose Ramon Avina-Ortiz, Paula Dalida Bravo-Aguilar, Eli Gabriel Avina-Bravo, Jose Ruiz-Pinales, Juan Gabriel Avina-Cervantes   +6 more
doaj   +1 more source

Generalized Property-Based Encoders and Digital Signal Processing Facilitate Predictive Tasks in Protein Engineering. [PDF]

Front Mol Biosci, 2022
Medina-Ortiz D, Contreras S, Amado-Hinojosa J, Torres-Almonacid J, Asenjo JA, Navarrete M, Olivera-Nappa Á.   +6 more
europepmc   +1 more source

RF and digital signal processing for software-defined radio: a multi-standard multi-mode approach

, 2009
Software-defined radio (SDR) is the hottest area of RF/wireless design, and this title describes SDR concepts, theory, and design principles from the perspective of the signal processing (both on transmission and reception) performed by a SDR system ...
Rouphael, Tony J, Rouphael, Tony J.
core  

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

Finite-size security of continuous-variable quantum key distribution with digital signal processing. [PDF]

Nat Commun, 2021
Matsuura T, Maeda K, Sasaki T, Koashi M.
europepmc   +1 more source

Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste clearance, inflammation, and the distribution of central nervous system (CNS)–delivered therapeutics, understanding their dysfunction is increasingly important as targeted treatments emerge.
Kilian Hett, Abigail Dubois, Melanie Leguizamon, Alexander Song, Paula Trujillo, Colin D. McKnight, Ciaran M. Considine, Manus J. Donahue, Daniel O. Claassen   +8 more
wiley   +1 more source

Sparse representations and sphere decoding for array signal processing

, 2012
Array processing algorithms are used in many applications for source localization and signal waveform estimation. When the number of snapshots is small and/or the signal-to-noise ratio (SNR) is low, it becomes a challenge to discriminate closely-spaced ...
T. Yardibi, J. Li, P. Stoica, Cattafesta, L. N. , I I I, Li, J., Stoica, Peter,, L.N. Cattafesta, Yardibi, T.   +7 more
core   +1 more source