Results 41 to 50 of about 434,486 (268)

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

FEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa, Shinya Sugimoto, Toshiro Sato   +2 more
wiley   +1 more source

Representing Probability Measures using Probabilistic Processes [PDF]

, 2006
In the Type-2 Theory of Effectivity, one considers representations of topological spaces in which infinite words are used as "names" for the elements they represent.
Schröder , Matthias, Simpson, Alexander, Simpson, Alex, Schröder, Matthias   +3 more
core   +1 more source

Risk-Based Management of Transmission Lines Enhanced With the Dynamic Thermal Rating System

IEEE Access, 2019
This paper presents a risk-based management framework for transmission lines equipped with a dynamic thermal rating system. In this framework, future wind speed values required for calculating conductor temperature are forecasted using the auto ...
Jiashen Teh, Ching-Ming Lai
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

The Epistemic Uncertainty Gradient in Spaces of Random Projections

Entropy
This work presents a novel approach to handling epistemic uncertainty estimates with motivation from Bayesian linear regression. We propose treating the model-dependent variance in the predictive distribution—commonly associated with epistemic ...
Jeffrey F. Queißer, Jun Tani, Jochen J. Steil   +2 more
doaj   +1 more source

Probabilistic Identification of Seismic Response Mechanism in a Class of Similar Arch Dams

Infrastructures, 2019
Different numerical models have been proposed for seismic analysis of concrete dams by taking into account the nonlinear behavior of concrete and joints; interaction between the dam, foundation, and reservoir; and other seismic hazard considerations ...
M. A. Hariri-Ardebili, M. Heshmati, P. Boodagh, J. W. Salamon   +3 more
doaj   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Assume-guarantee verification for probabilistic systems [PDF]

, 2010
We present a compositional verification technique for systems that exhibit both probabilistic and nondeterministic behaviour. We adopt an assume- guarantee approach to verification, where both the assumptions made about system components and the ...
Kwiatkowska, M., Parker, D., Norman, G., Qu, U.   +3 more
core  

A Probabilistic Approach to the Spatial Variability of Ground Properties in the Design of Urban Deep Excavation

Infrastructures, 2019
Uncertainty in ground datasets often stems from spatial variability of soil parameters and changing groundwater regimes. In urban settings and where engineering ground interventions need to have minimum and well-anticipated ground movements, uncertainty ...
Jacob B. Herridge, Konstantinos Tsiminis, Jonas Winzen, Arya Assadi-Langroudi, Michael McHugh, Soheil Ghadr, Sohrab Donyavi   +6 more
doaj   +1 more source

COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells

Molecular Oncology, EarlyView.
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos, Gilar Gorji‐bahri, Lejla Gradjan, Julia Zajac, Kacper Gil, Yvonne Thokozile Nduku, Anna M. Blom   +6 more
wiley   +1 more source