Results 181 to 190 of about 5,558,287 (332)

An Analog and Digital Hybrid Attention Accelerator for Transformers with Charge-based In-memory Computing

The attention mechanism is a key computing kernel of Transformers, calculating pairwise correlations across the entire input sequence. The computing complexity and frequent memory access in computing self-attention put a huge burden on the system ...
Dodla, Divya Sri, Moradifirouzabadi, Ashkan, Kang, Mingu   +2 more
core   +1 more source

Electroencephalographic Normalization as a Biomarker of Clinical Recovery in Down Syndrome Regression Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Down syndrome regression disorder is a syndrome characterized by subacute loss of cognitive, behavioral, and functional abilities in individuals with Down syndrome. Electroencephalography abnormalities are frequently observed during evaluation, but it remains unclear whether these findings represent a dynamic marker of disease ...
Jonathan D. Santoro, Mackenzie Silverman, Maeve C. Lucas, Mariam M. Yousuf, Samuel T. Otey, Stella V. Gray, Brittany Jordan, Madeline D. Kahan, Latanya D. Agurs, Michelle Van Hirtum Das, Deborah Holder, Devin King, Eileen A. Quinn, Ryan Kammeyer, Michael S. Rafii   +14 more
wiley   +1 more source

Ultrahigh-precision analog computing using memory-switching geometric ratio of transistors. [PDF]

Sci Adv
Yangdong XJ, Wang C, Zhao Y, Wang ZC, Yang Z, Liu Z, Yu W, Zeng Z, Wang S, Wei W, Shen Y, Kong D, Ding S, Wang X, Pan C, Liang SJ, Miao F.   +16 more
europepmc   +1 more source

Interaction of Intraprocedural Antiplatelets and Intravenous Thrombolysis in Acute Intracranial Stenting: RESISTANT Registry Subanalysis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction/Objective Acute intracranial stenting during endovascular thrombectomy (EVT) for ischemic stroke requires intraprocedural antiplatelet therapy (APT) to maintain patency. However, the hemorrhagic risk of combining APT with intravenous thrombolysis (IVT) remains uncertain.
Aaron Rodriguez‐Calienes, Leonardo Cruz‐Criollo, Eric Kontowicz, Marta Olivé‐Gadea, Francesco Diana, Johannes Kaesmacher, Adnan Mujanovic, Serdar Geyik, Songul Senadim, Amedeo Cervo, Andrea Salcuni, Mariangela Piano, Manuel Moreu, Alfonso López‐Frías, Ameer E. Hassan, Samantha Miller, Elena Zapata‐Arriaza, Asier de Albóniga‐Chindurza, Mauro Bergui, Stefano Molinaro, João André Sousa, Fábio Gomes, João Sargento‐Freitas, Andrea Alexandre, Alessandro Pedicelli, Jeremy Hofmeister, Paolo Machi, Luca Scarcia, Erwah Kalsoum, Jose Amorim, Torcato Meira, Leonardo Renieri, Francesco Capasso, Daniele Romano, Eduardo Bárcena‐Ruiz, David Seoane, Mohamad Abdalkader, Piers Klein, Thanh N. Nguyen, Catarina Perry da Câmara, Anderson Brito, Nashwa Abdelhakim, Isabel Fragata, Dileep R. Yavagal, Jude H. Charles, Jose Rodriguez Castro, Pedro Vega, Atilla Özcan Özdemir, Zehra Uysal Kocabaş, Stanislas Smajda, Sadiq Al Salman, Jane Khalife, Tudor G. Jovin, Francesco Biraschi, Francesca Richetti, Pedro Castro, Luis Albuquerque, Adnan Siddiqui, Vinay Jaikumar, Pedro Navia, Nikolaos Ntoulias, Marios Psychogios, Mariano Velo, Joaquín Zamarro, Gonzalo de Paco, Yazan Ashouri, Mohammad AlMajali, Juan F. Arenillas, Alicia Sierra, Michele Romoli, João Pedro Marto, Shadi Yaghi, Marc Ribo, Alejandro Tomasello, Manuel Requena, Santiago Ortega‐Gutierrez   +75 more
wiley   +1 more source

Harnessing the analog computing power of regulatory networks with the Regulatory Network Machine. [PDF]

iScience
Pietak A, Levin M.
europepmc   +1 more source

Integration of Serum Neurofilament Light Chain and Cortical Dysfunction Improves Diagnostic Accuracy in ALS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether integration of serum neurofilament light chain (NfL) and cortical dysfunction improves diagnostic accuracy in amyotrophic lateral sclerosis (ALS) when applied alongside the Gold Coast criteria (GCC). Methods In this prospective study, 148 participants with suspected ALS were recruited (101 ALS and 47 with ALS ...
Aicee Dawn Calma, Nathan Pavey, Yukiko Tsuji, Amirul Ab Ghapar, Mehdi A.J. van den Bos, Bronwen Orden, Grace Lee, Linda Mekhael, Julie Ryder, Cláudia Santos Silva, David McDonald, Fakhria Kakar, Con Yiannikas, Matthew C. Kiernan, David A. Brown, Parvathi Menon, Steve Vucic   +16 more
wiley   +1 more source

Factors Associated With the Rising Trend in Self‐Reported Cognitive Disability Among U.S. Adults Aged 18–39 From 2013–2024

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon, Ka‐Ho Wong, Mirriam Mananah, Christopher D. Anderson, Ada Fenick, Amy Arnsten, Arman Fesharaki‐Zadeh, James C. McPartland, Mary L. Adams, Kevin N. Sheth   +9 more
wiley   +1 more source

Quantitative MRI Uncovers Subtle Cortical Damage in Myelin Oligodendrocyte Glycoprotein Antibody‐Associated Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera, Agnese Tamanti, Silvia Messina, Nicola Dall'Osto, Teresa Maltempo, Stefano Ziccardi, Matteo Foschi, Maria Grazia Piscaglia, Diana Ferraro, Francesco Crescenzo, Francesca Rossi, Albulena Bajrami, Sabrina Marangoni, Damiano Marastoni, Francesca Benedetta Pizzini, Maria Isabel Leite, Roberta Magliozzi, Patrick Waters, Massimiliano Calabrese, Jacqueline Palace, Ruth Geraldes   +20 more
wiley   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias, Federica Avantaggiato, Gianni Pezzoli, Andrea Canessa   +3 more
wiley   +1 more source