Results 81 to 90 of about 1,597,633 (258)

Forecast Uncertainty Quantification using Monte Carlo, Polynomial Chaos Expansion and Unscented Transformation Methods [PDF]

, 2015
In the context of prediction science, the sources of uncertainty can be from the uncertainties of the experiments, modeling, model inputs, numerical analysis, etc.
Hu, Junjun
core  

Present and Future of Model Uncertainty Quantification in Process Systems Engineering

Chemical Engineering Transactions, 2019
This contribution investigates the impact of model uncertainty quantification techniques in different areas of process systems engineering (PSE), namely dynamic optimization, predictive maintenance, soft-sensor systems and risk assessment, using three ...
Francesco Rossi, Linas Mockus, Flavio Manenti, Gintaras Reklaitis   +3 more
doaj   +1 more source

Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank

FEBS Open Bio, EarlyView.
Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer, Pawel Rubach, Zbigniew Dauter, Wojciech Dec, Dariusz Brzezinski, Marta Kulik, Wladek Minor, Mariusz Jaskolski   +7 more
wiley   +1 more source

The Role of Calcitonin Gene‐Related Peptide in High‐Altitude Headache: A Prospective Field Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective High‐altitude headache (HAH) is a common neurological condition associated with rapid ascent to high altitude. The pathophysiological mechanisms underlying HAH remain incompletely understood. Calcitonin gene‐related peptide (CGRP), a neuropeptide implicated in migraine pathophysiology, may play a key role in the pathophysiology of ...
Roman Schniepp, Ludwig Karrasch, Helena Breitenstein, Andreas Straube, Katharina Kamm   +4 more
wiley   +1 more source

Quantification and Evaluation of Parameter and Model Uncertainty for Passive and Active Vibration Isolation

, 2022
S.135-147Vibration isolation is a common method used for minimizing the vibration of dynamic load-bearing structures in a region past the resonance frequency, when excited by disturbances.
Platz, Roland, Lenz, Jonathan
core   +1 more source

Relationship Between Neurologic Symptoms and Signs and FMR1 Genotype in Premutation Carriers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Fragile X‐associated Tremor/Ataxia Syndrome (FXTAS) is the most severe late‐onset condition caused by a premutation in the FMR1 gene, characterized by expanded CGG triplet repeats of 55–200. Clinical presentations of FXTAS, including gait ataxia, kinetic tremor, cognitive decline, and rare Parkinsonism, are linked to ...
Flora Tassone, Freddy Chafota, Miguel E. Rentería, Randi J. Hagerman, Ellery Santos, Anna Atkinson, Nicholas G. Martin, Elsdon Storey, Danuta Z. Loesch   +8 more
wiley   +1 more source

Definition and Implementation of a Method for Uncertainty Aggregation in Component-Based System Simulation Models

, 2017
Component-based system simulation models are used throughout all development phases for design and verification of both physical systems and control software, not least in the aeronautical industry.
Eek, Magnus,, Ölvander, Johan,, Gavel, Hampus,   +2 more
core   +1 more source

Temporal distribution shift in real-world pharmaceutical data: Implications for uncertainty quantification in QSAR models

Artificial Intelligence in the Life Sciences
The estimation of uncertainties associated with predictions from quantitative structure–activity relationship (QSAR) models can accelerate the drug discovery process by identifying promising experiments and allowing an efficient allocation of resources ...
Hannah Rosa Friesacher, Emma Svensson, Susanne Winiwarter, Lewis Mervin, Adam Arany, Ola Engkvist   +5 more
doaj   +1 more source

Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications

IEEE Access, 2018
Uncertainty quantification plays a critical role in the process of decision making and optimization in many fields of science and engineering. The field has gained an overwhelming attention among researchers in recent years resulting in an arsenal of ...
H. M. Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi   +3 more
doaj   +1 more source

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu, Xin Duan, Fatemeh Peymani, Jia Wang, Chengjia Bao, Chaolong Xu, Ying Zou, Zixuan Zhang, Yunxi Zhang, Tongyue Li, Martin Pavlov, Junling Wang, Minhan Song, Tianyu Song, Xiaodi Han, Mingxi Sun, Danmin Shen, Ruoyu Duan, Huafang Jiang, Manting Xu, Holger Prokisch, Fang Fang   +21 more
wiley   +1 more source