Results 71 to 80 of about 202,657 (264)

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

Multi-criteria calibration of a conceptual runoff model using a genetic algorithm [PDF]

Hydrology and Earth System Sciences, 2000
: Calibration of a model against more than one output variable is important for reliable simulations of internal processes. In this study, a genetic algorithm combined with local optimisation was proposed for automatic single- and multi-criteria ...
J. Seibert, J. Seibert
doaj  

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

Calibration of a Rotating or Revolving Platform with a LiDAR Sensor

Applied Sciences, 2019
Perceiving its environment in 3D is an important ability for a modern robot. Today, this is often done using LiDARs which come with a strongly limited field of view (FOV), however.
Mario Claer, Alexander Ferrein, Stefan Schiffer   +2 more
doaj   +1 more source

Practical calibration of the temperature parameter in Gibbs posteriors

CoRR, 2020
PAC-Bayesian algorithms and Gibbs posteriors are gaining popularity due to their robustness against model misspecification even when Bayesian inference is inconsistent. The PAC-Bayesian alpha-posterior is a generalization of the standard Bayes posterior which can be tempered with a parameter alpha to handle inconsistency. Data driven methods for tuning
openaire   +2 more sources

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

Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To test whether vertical saccades are preferentially affected in Progressive Supranuclear Palsy (PSP). Methods PSP patients (n = 24) were compared to age‐matched controls (n = 94) and two degenerative groups (Alzheimer's disease, n = 20; Lewy body disease, n = 50).
Duy Duan Nguyen, Mark Paine, Soohyun Lee, Amir Fazlollahi, Baibin (Ben) Wang, John D. O'Sullivan, Peter J. Nestor   +6 more
wiley   +1 more source

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian, Minghui Zhao, Yuanbo Hu, Kaiyue Wang, Haiguang Liu, Zetong Bai, Kebin Zheng   +6 more
wiley   +1 more source

Simplifying the calibration of ecological models by using the parameter estimation tool (PEST): The Curonian Lagoon case

Ecological Informatics
In this study, we implemented an automated calibration procedure for an ecological model of the Curonian Lagoon, supported by a comprehensive two-year field observation dataset.
Burak Kaynaroglu, Mindaugas Zilius, Rasa Idzelytė, Artūras Razinkovas-Baziukas, Georg Umgiesser   +4 more
doaj   +1 more source

QUANTIFICATION OF PARAMETER AND CALIBRATION UNCERTAINTY IN MORPHOLOGICAL MODELLING

Coastal Engineering Proceedings, 2018
There are different sources of uncertainty in morphological modeling on time scales of years. The standard deterministic modelling approach does not provide any information on the amount of uncertainty contained in a forecast. This lack of information could provide a false sense of accuracy and skill.
Kroon, J. (author), de Schipper, M.A. (author), Aarninkhof, S.G.J. (author)   +2 more
openaire   +4 more sources