Results 101 to 110 of about 6,223,387 (383)

Synchronization to extreme events in moving agents

open access: yesNew Journal of Physics, 2019
Interactions amongst agents frequently exist only at particular moments in time, depending on their closeness in space and movement parameters. Here we propose a minimal model of moving agents where the network of contacts changes over time due to their ...
Sayantan Nag Chowdhury   +4 more
semanticscholar   +1 more source

Strength through diversity: how cancers thrive when clones cooperate

open access: yesMolecular Oncology, EarlyView.
Intratumor heterogeneity can offer direct benefits to the tumor through cooperation between different clones. In this review, Kuiken et al. discuss existing evidence for clonal cooperativity to identify overarching principles, and highlight how novel technological developments could address remaining open questions.
Marije C. Kuiken   +3 more
wiley   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

open access: yesMolecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice   +16 more
wiley   +1 more source

Quantifying human mobility resilience to extreme events using geo-located social media data

open access: yesEPJ Data Science, 2019
Mobility is one of the fundamental requirements of human life with significant societal impacts including productivity, economy, social wellbeing, adaptation to a changing climate, and so on.
K. Roy, Manuel Cebrian, Samiul Hasan
semanticscholar   +1 more source

Extreme Events: Mechanisms and Prediction [PDF]

open access: yesApplied Mechanics Review, 2018
Extreme events, such as rogue waves, earthquakes, and stock market crashes, occur spontaneously in many dynamical systems. Because of their usually adverse consequences, quantification, prediction, and mitigation of extreme events are highly desirable.
M. Farazmand, T. Sapsis
semanticscholar   +1 more source

Public Support for Disaster Risk Reduction: Evidence from The Bahamas Before and After Hurricane Dorian

open access: yesSocial Sciences
Studies in public policy have suggested that disasters can potentially serve as “focusing events”, catalyzing significant changes to disaster risk reduction (DRR) policies and practices. How and why this effect does (or does not) ensue, and for how long,
Barry S. Levitt, Richard S. Olson
doaj   +1 more source

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

open access: yesMolecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix   +13 more
wiley   +1 more source

Extreme weather events inWest Hungary

open access: yesInternational Journal of Horticultural Science, 2010
Agricultural production is a rather risky activity, as it is largely exposed to extreme weather events. This paper focuses on the frost and hail data in springtime, affecting fruit production in West Hungary.
Z. Mézes   +5 more
doaj   +1 more source

Extreme events reveal an alimentary limit on sustained maximal human energy expenditure

open access: yesScience Advances, 2019
Maximum sustained energy expenditure in humans is limited by energy intake and strongly tied to event duration. The limits on maximum sustained energy expenditure are unclear but are of interest because they constrain reproduction, thermoregulation, and ...
C. Thurber   +5 more
semanticscholar   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

open access: yesMolecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Home - About - Disclaimer - Privacy