Results 31 to 40 of about 26,598,097 (313)

Computational models in cardiology [PDF]

open access: yesNature Reviews Cardiology, 2018
The treatment of individual patients in cardiology practice increasingly relies on advanced imaging, genetic screening and devices. As the amount of imaging and other diagnostic data increases, paralleled by the greater capacity to personalize treatment, the difficulty of using the full array of measurements of a patient to determine an optimal ...
Niederer, Steven A.   +2 more
openaire   +3 more sources

Reusability-targeted enrichment of sea ice core data

open access: yesScientific Data
The Reusability-targeted Enriched Sea Ice Core Database (RESICE) combines data and metadata from 287 sea ice cores. The database enables reuse scenarios such as the validation of physics-based models and the training of data-driven algorithms.
Anna Simson, Anil Yildiz, Julia Kowalski
doaj   +1 more source

Phase separation of competing memories along the human hippocampal theta rhythm

open access: yeseLife, 2022
Competition between overlapping memories is considered one of the major causes of forgetting, and it is still unknown how the human brain resolves such mnemonic conflict.
Casper Kerrén   +3 more
doaj   +1 more source

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

open access: yesFEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa   +5 more
wiley   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

open access: yesFEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

A Computational Model of Linguistic Humor in Puns

open access: yesCognitive Sciences, 2015
Humor plays an essential role in human interactions. Precisely what makes something funny, however, remains elusive. While research on natural language understanding has made significant advancements in recent years, there has been little direct ...
Justine T. Kao, R. Levy, Noah D. Goodman
semanticscholar   +1 more source

Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation

open access: yesFEBS Letters, EarlyView.
Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz   +11 more
wiley   +1 more source

On Models of a Nondeterministic Computation [PDF]

open access: yes, 2009
In this paper we consider a nondeterministic computation by deterministic multi-head 2-way automata having a read-only access to an auxiliary memory. The memory contains additional data (a guess) and computation is successful iff it is successful for some memory content.
openaire   +2 more sources

SWISS-MODEL: homology modelling of protein structures and complexes

open access: yesNucleic Acids Res., 2018
Homology modelling has matured into an important technique in structural biology, significantly contributing to narrowing the gap between known protein sequences and experimentally determined structures. Fully automated workflows and servers simplify and
A. Waterhouse   +11 more
semanticscholar   +1 more source

Gaussian process emulators for the undrained bearing capacity of spatially random soils using cell-based smoothed finite element method

open access: yesJournal of Rock Mechanics and Geotechnical Engineering
In this paper, we propose a novel probabilistic method for predicting the undrained bearing capacity of spatially variable soils. Our approach combines a Gaussian process regression (GPR)-based surrogate model with random cell-based smoothed finite ...
H.C. Nguyen   +6 more
doaj   +1 more source

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