Results 71 to 80 of about 1,665,658 (262)

Uncertainty quantification by large language models

Machine Learning with Applications
As reasoning capabilities of large language models (LLMs) continue to advance, they are being integrated into increasingly complex scientific workflows, with the goal of developing agents capable of generating evidence-based explanations and testing ...
Dorianis M. Perez, Bryan E. Kaiser, Ismael Boureima   +2 more
doaj   +1 more source

Uncertainty Quantification

, 2021
What are the limitations of scientific models? Uncertainty quantification, Sensitivity analyses, Theory-based and statistical modeling, Systems thinking, systems ...
Cook, Douglas
core  

Uncertainty quantification in damage mechanics models

, 2023
Plechac, PetrComputational modeling of material response, at the macroscopic scale, under external stimuli, is paramount to predicting material failure in various structural applications.
Troy, Jerome
core   +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

Uncertainty quantification in drug design

, 2021
Machine learning and artificial intelligence are increasingly being applied to the drug-design process as a result of the development of novel algorithms, growing access, the falling cost of computation and the development of novel technologies for ...
Engkvist, Ola, Semenova, Elizaveta,, Giblin, Kathryn A., Mervin, Lewis H., Semenova, Elizaveta, Johansson, Simon, Engkvist, Ola,, Mervin, Lewis H.,, Giblin, Kathryn A.,, Johansson, Simon,, Kathryn A. Giblin, Elizaveta Semenova, Ola Engkvist, Lewis H. Mervin, Simon Johansson   +14 more
core   +1 more source

Characterization of the key membrane protein cytochrome Cyc2 from Ghiorsea bivora

FEBS Open Bio, EarlyView.
This study reports the first detailed biochemical analysis of Cyc2TAG1_1, a cytochrome protein involved in microbial iron oxidation. We produced and purified this enzyme in E. coli, then measured its iron‐oxidizing efficiency, and characterized its electrical and structural properties.
Josiane Azizi, Alain Dolla, Frauke Baymann, Celine Rommevaux, Latifa Elantak, Helene Gaussier, Matthieu Nouailler   +6 more
wiley   +1 more source

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

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

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Clinical Impact of NOTCH3 Variant Location After First Stroke in CADASIL

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Despite its monogenic origin, Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy exhibits marked variability in clinical expression and severity. Variants in the NOTCH3 gene, within epidermal growth factor‐like repeat domains 1–6 or 7–34, are known to influence disease onset, but their impact ...
Léa Aguilhon, Hugues Chabriat, Dominique Hervé, Stéphanie Guey, Sophie Tezenas Du Montcel, Juliette Ortholand   +5 more
wiley   +1 more source