A team of researchers has used
a computational modeling approach to analyze and compare the toxic effects of fifteen different drugs on the liver, according to a study in PLOS Computational Biology.
A new study published in the European Journal of Physics reports the findings of a research team at the University of Tsukuba that established a new
computational modeling approach that provides precise 3D data on air flow, vortex formation, and lift around a skier's body.
Although well studied with
computational modelling approaches (Smith et al. 2008), the study of culture — gene coevolutionary theory of human behaviour has not yet received widespread empirical attention.
Not exact matches
Social science has a long tradition of using
computational and agent - based
modelling approaches (e.g. Schelling's
Model of Segregation), but the new challenge is to feed real - life, and sometimes even real - time information into those systems to get gain rapid insights into the validity of research hypotheses.
We differentiated between
computational approaches (either based on volume data, such as the number of mentions related to a party or candidate or the occurrence of particular hashtags; or endorsement data, such as the number of Twitter followers, Facebook friends or the number of «likes» received on Facebook walls), sentiment analysis
approaches, that pay attention to the language and try to attach a qualitative meaning to the comments (posts, tweets) published by social media users employing automated tools for sentiment analysis (i.e., via natural language processing
models or the employment of pre-defined ontological dictionaries), and finally what we call supervised and aggregated sentiment analysis (SASA), that is, techniques that exploit the human codification in their process and focus on the estimation of the aggregated distribution of the opinions, rather than on individual classification of each single text (Ceron et al. 2016).
«Our goal with this paper is to make people aware of this
approach, which makes good use of experimental data and advances in
computational modeling,» Rand says.
The method, called
computational Bayesian phylogenetics, forces researchers to explicitly quantify the uncertainty in the
models, says linguist Claire Bowern of Yale University, a pioneer of the
approach and co-author of the new study.
Bolton combined these human hearing
models with
model checking (an automated,
computational approach for finding problems in complex systems) to assess masking in a common patient - monitoring device with six different alarms.
This is a first
approach towards
modeling an entire descending pathway that comprises very diverse neuron types within a single, common
computational framework.
I have noticed a real shift in attitudes towards
computational -
modeling approaches in historical linguistics, from being just an odd sideshow to a clear focus of attention.»
«Climate science is a «data - heavy» discipline with many intellectually interesting questions that can benefit from
computational modeling and prediction,» said Dovrolis, a professor in the School of Computer Science, «Cross-disciplinary collaborations are challenging at first — every discipline has its own language, preferred
approach and research culture — but they can be quite rewarding at the end.»
«The
computational approach allows us to model, right down to the atomic level, how small changes in protein sequence can have a major impact on signaling,» said MacDermaid, assistant professor of research at Temple's Institute for Computational Molec
computational approach allows us to
model, right down to the atomic level, how small changes in protein sequence can have a major impact on signaling,» said MacDermaid, assistant professor of research at Temple's Institute for
Computational Molec
Computational Molecular Science.
Holt et al, at the University of Minnesota, with collaborators at UC Santa Barbara, demonstrate their
approach in a
computational model of the brain.
The
approach combined experimental synthetic biology led by Mark Isalan, now Reader in Gene Network Engineering at the Department of Life Sciences of Imperial College London with
computational modelling led by James Sharpe, ICREA Research Professor and head of the Multicellular Systems Biology lab at the CRG.
The University of Tsukuba team has advanced this field of study by establishing a novel
approach to
computational modeling of air flow alongside wind tunnel experiments.
Using
modeling and
computational approaches, we will integrate high - resolution data from chromosome interactions, super-resolution images and «omics» datasets.
He brings an interdisciplinary and systematic
approach through his extensive experimental knowledge and
computational modeling with an understanding of biological, physiological, and physical processes.
... researchers working with magnetic nanoparticles at the University of California, Los Angeles (UCLA), and the US Department of Energy's (DOE's) Lawrence Berkeley National Laboratory (Berkeley Lab)
approached computational scientists at DOE's Oak Ridge National Laboratory (ORNL) to help solve a unique problem: to
model magnetism at the atomic level using experimental data from a real nanoparticle.
Subsequent validation experiments in
model organisms will test if and how the elements pinpointed by the
computational approaches are involved in changing molecular and morphological phenotypes.
This data requires
computational approaches to make sense of it and theory to
model it.
We employ a
Model - Integrated Synthesis, Characterization and Experiment (MISCE)
approach to achieve fundamental understanding and experimentally - validated conceptual and
computational models of fluid - solid interfaces (FSIs) representative of those encountered in advanced energy systems and devices, including batteries, supercapacitors and photo - and electrochemical cells.
Rational design
approaches to this problem have often used complex
computational methods, have targeted simple
model reactions and have typically led to low levels of catalysis1.
«These discoveries were enabled by the team
approach to science at Gladstone, with three labs contributing diverse expertise and working side by side,» stated Dr. Pollard, whose lab brought
computational modeling expertise to understand the vast data that was collected.
For a systems - level understanding of all crucial protein interactions during cell division, we are combining automated single molecule calibrated imaging and
computational data analysis with advanced machine learning and
modelling approaches to build an integrated protein atlas of the human dividing cell.
To address this question, we established a novel
approach that combines the quantitative phenotypic variability of wild ‐ type Arabidopsis roots with
computational data from mathematical
models.
Nonetheless, the researchers believe a new
computational approach to climate
modeling can and should start now.
They are developing novel
computational approaches that combine molecular interaction and pathway information with «omics data to develop clinically predictive
models and identify therapeutically targetable pathways.
Each evaluation study often uses a different
model and / or data set, making it impossible to directly compare the performance and
computational efficiency of various
approaches that simulate the same aerosol process.
September 15, 2015 Data - driven
approach could help improve allocation of biomedical research resources A new
computational model developed by scientists from the University of Chicago could help improve the allocation of U.S. biomedical research resources.
The systems biology
approach is characterised by a cycle of theory,
computational modelling and experiment to quantitatively describe cells or cell processes.
A wide variety of quantitative scientists (
computational biologists, statisticians, mathematicians, computer scientists, engineers, and physicists) are working to improve the quality of these
approaches and to create, refine, and retest the
models to accurately reflect observations.
In the last decade we have witnessed tremendous advances in our understanding of the landscape of the molecular alterations that underpin many of the most prevalent cancers, in the use of automated high - throughput platforms for high - throughput drug screens in cancer cells, in the creation of more clinically relevant cancer cell
models, and lastly in the development of more useful
computational approaches in the pursuit of biomarkers of drug response.
We are particularly interested in those working in applied atmospheric science and employing
computational, geospatial, or
modeling approaches.
The EcoMOD (
Model / Modify, Observe, Design) project will build on and extend our prior EcoMUVE curriculum for middle school, using a design - based research
approach to combine an immersive virtual environment with hands - on interactive
modeling through a scaffolded
computational interface.
Examples may include systems science
approaches (e.g.,
computational modeling and simulation, network analysis, and engineering control methods) to conceptualize prevention at the micro - or macro-levels of analyses; alternative intervention designs for when randomization is not possible; new methods for optimization of interventions; adaptive interventions and SMART designs; and innovative analytic
approaches including time varying effect
models, and
models for incorporating intensive longitudinal data and / or real time data capture in prevention science research.
The Academy of Math's pedagogical
model incorporates task analysis to break down skills into simpler components, and a sequential
approach to build
computational fluency.
However, with recent developments in
modelling approaches and
computational resources examining the potential impacts of changes in storminess has become feasible, as exemplified by studies of Muis et al (2016), who used the first dynamic global storm surge
model to simulate past water levels for the global coast, or Vousdoukas et al (2016), who simulated future storm surge changes along the entire European coast.
Nonetheless, the researchers believe a new
computational approach to climate
modeling can and should start now.
Yet another
computational technique being integrated into solar design software draws from geometric
modeling approaches to enable the creation of complex shapes through the merging of simpler shapes.
Maxfarm is a three - year project to improve the sector's reliability, lifespan and efficiency by building an integrated multi-scale
approach to the
computational modelling of wind farms.
We believe our proprietary quantitative
models and our unique game theoretic
approach can add value to this process and serve to bridge the
computational gap between litigation analysis and settlement negotiation.