Not exact matches
Startup Garage, a second - year elective, asks students to build an idea for a company using, in part, the lean startup
model, Eric Ries's
method of
developing and rolling out products or services quickly to avoid costly failures.
In this
model, which was
developed many decades ago by investors and is a common valuation
method, you sum up all future estimated dividends, discount them at an appropriate discount rate, and therefore receive an output for what the intrinsic value of a share of this company is.
It
develops its own
models of the world it studies and its own
methods for studying this.
It has
developed a
model of the human being and
methods of working with that
model that are brilliant and convincing within the self - imposed limits.
Due to its understanding of education as the reshaping of a child's soul (in contrast to «discovery»
models of education, for example), the
method tends to
develop thinkers defined by who they are instead of workers defined by what they do....
Regardless, analyses like these are helpful as a first stage to
develop statistical
models and
methods that can try to account for the correlation structure and randomness.
Woodland Star has
developed a powerful educational vision that incorporates Waldorf education
methods and embraces the developmental
model of the unfolding child.
Models were
developed using the following possible predictors of breastfeeding duration: maternal race, maternal education, paternal education, maternal age, socioeconomic status, 22 marital status, parity, mode of delivery, previous breastfeeding experience, timing of feeding
method selection, problems with pregnancy / labor / delivery, breastfeeding goal (weeks), family preference for breastfeeding, paternal preference for breastfeeding, having friends who breastfed, randomization group, 16 plans to return to work, infant's 5 - minute Apgar score, and infant's age in minutes when first breastfed (first successful latch and feeding).
«I'm interested in bridging gaps between traditional epidemiology and mathematical
modeling, hopefully
developing improved
methods for studying infectious diseases,» she says.
I carried out analysis of thermodynamic
models and made good progress
developing novel computation
methods.
Yet nanotechnology
developed for medical applications could form a
model for ways of exploiting oil reserves that conventional
methods can not reach.
Researchers from Bern have
developed a
method to simplify the search for Earth - like planets: By using new theoretical
models they rule out the possibility of Earth - like conditions, and therefore life, on certain planets outside our solar system — and limit their search by doing so.
Researchers, led by Joshua Mayourian at the Icahn School of Medicine at Mount Sinai, used mathematical
modeling to simulate electrical interactions between these stem cells and heart cells to
develop insight into possible adverse effects, as well as to hypothesize new
methods for reducing some potential risks of this therapy.
Physical and mathematical
model of ice behavior under dynamic loads as well as a numerical
method for calculating its impact and explosive loading, capable of reproducing the main features and mechanisms of deformation and fracture has been
developing are currently under development.
In his dissertation, Topi Sikanen
developed methods of
modelling unusual and major accidents.
To
develop a more accurate
method, Higgins and colleagues designed a mathematical
model of glucose chemistry and red blood cell turnover and combined it with large data sets of patient glucose measurements.
The new experimental
method, proposed by Prof. Silvia Leoni (UniMi), combined with the computationally extremely sophisticated Monte Carlo shell
model developed by the Tokyo University theorists, enabled the design of appropriate, accurate measurements.
The new
method, which was
developed using graphene as the two - dimensional
model, resulted in the cleanest graphene produced to date.
The
method combines a
model for systems such as weather or climate with real - world data points to
develop predictions about the future.
Now Finnish and Norwegian researchers have
developed a new
method that can produce accurate three - dimensional (3D)
models of recovered stumps and root systems.
Satellite altimetry
methods developed at NOC play a crucial role in helping improve storm surge
models and map out regional changes in mean sea level.»
Building upon previous work on fluid and viscous sheet simulation also done at Columbia Computer Graphics Group, Zheng has
developed a new viscous sheet simulation
method to
model the color film stretch during the hydrographic printing process.
The tool itself, which projects a worse - case scenario of 14,176 Ebola cases in Guinea, Liberia and Sierra Leone by October 26, is currently built on a
model developed by a Toronto - based team of medical and public health researchers, although HealthMap may try other
methods down the road, says John Brownstein, HealthMap co-founder and an associate professor of pediatrics at Harvard Medical School.
«This study addresses the necessity for
developing a new
method to represent dust heating in climate
models.»
While studying for his doctorate with the study's senior author, UC Berkeley Prof. Barbara Romanowicz, Lekic
developed a
method to more accurately
model waveform data while still keeping computer time manageable, which resulted in higher - resolution images of the interaction between the layers of Earth's mantle.
The
method is based on Approximate Bayesian Computation (ABC), which is a machine learning
method that has been
developed to infer very complex
models from observations, with uses in climate sciences and epidemiology among others.
By adjusting the duplication - divergence
model to account for the pressure of environmental noise, the researchers
developed a
method that can be used to generate or evaluate the interconnection, or topology, of networks that work in a variety of environments.
In the future, the IU scientists aim to apply the
methods developed for this study to predict success in careers beyond
modeling.
Because the individually tailored vaccine
method is so different from mass - manufactured vaccines — those
developed to combat infectious diseases such as smallpox — the search continues for a viable production
model.
A new
method that includes the effects of elevation and region was
developed using a detailed regional
model of the Greenland ice sheet.
They have
developed a set of tools that can be used to make accurate, rapid assessments of proposed materials, using a series of relatively simple lab tests combined with computer
modeling of the physical properties of the material itself, as well as additional
modeling based on a statistical
method known as Bayesian inference.
Using a novel
method they
developed to map chromosome breaks in a
model organism, the budding yeast, Wenyi Feng, Ph.D., of Upstate Medical University and her colleagues have discovered new information as to how and where chromosome fragile sites can occur in human DNA.
Using
methods and ideas from mathematics, physics and biology, they characterized the shape of eggs from about 1,400 species of birds and
developed a
model that explains how an egg's membrane determines its shape.
Based on an advanced mathematical
model, Hullin and his colleagues, however,
developed a
method which can obtain the desired information exclusively from what would usually be considered noise rather than signal.
We
developed a computational
model that learns from the limited data we already have, and then allows us to screen potential candidates from a massive database of materials about a million times faster than current screening
methods.»
And I started exploring the statistics behind this, the
modelling behind this, and I was lucky to interact with a very, very accomplished statistical ecologist called James Nichols in the U.S. Geographical Survey, who was a real pioneer in the
developing of these
methods.
The
method developed by the team led by Brown and Yu, iterative Random Forests (iRF), builds on an algorithm called random forests, a popular and effective predictive
modeling tool, translating the internal states of the black box learner into a human - interpretable form.
If the successful predictions are confirmed in the mouse
model, this strategy may have potential for
developing new
methods for diagnosis, as well as treatment, of patients with bipolar disorder,» Miyakawa says.
Kamiel and Wei Yang and Yaolin Lin, associate professors at the Wuhan University of Technology in China
developed a holistic and integrated
model which considered the building enclosure, the mechanical systems, the external environment, the proportion of window opening and the shading factor based on data collected from 270 households including single and multiple units, as well as different heating
methods.
Even if the
method is
developed for fruit flies, it can most likely be adopted to other
model systems,» says Jens - Ola Ekström.
A new
method developed by scientists on the Florida campus of The Scripps Research Institute (TSRI) takes another tack entirely, combining existing formulas in a kind of algorithmic stew to gain a better picture of molecular structural diversity that is then used to eliminate errors and improve the final
model.
Research teams are also
developing ways to innovate the early drug - discovery process, including pioneering
methods to rapidly identify drug targets and test them on laboratory
models and finding and testing new therapeutic possibilities for already FDA - approved drugs.
Our group gathers multi-disciplinary expertise aiming at
developing methods and algorithms for extracting, analysing, and
modeling spatial data from biological images.
Systems biology research will aim to identify and validate mathematical
models that can accurately predict interactions between immune system components in relation to vaccination, as well as
develop state - of - the - art
methods for the structural and functional analysis of vaccine candidates.
The general approach is to
develop new vector systems and delivery
methods, test them in the appropriate animal
models, uncover the mechanisms involved in vector transduction, and use the most promising approaches in clinical trials.
In close collaboration with Dr. Yamanaka Dr. Conklin's laboratory was able to establish new iPS cell disease
models, gain new insights into iPS cell biology, and
develop new tissue engineering
methods.
Since joining McLean in 2011, Dr. Mintzopoulos has been
developing and implementing MRS and MRI protocols for in vivo studies relevant to
models of psychiatric / addiction and neurological conditions, as well as data processing and analysis
methods.
Methods: Scientists at PNNL
developed a new aerosol - climate
model as an extension of a multi-scale
modeling framework
model that embeds a cloud - resolving
model (CRM) within each grid column of a global climate
model.
Scientists employed
methods developed in this study to tag each source of aerosol, such as fossil - fuel burning from vehicles and power plants, or biomass burning, and follow its path in the
model.
We focus on
developing computational
methods and tools for (a) analyzing large - scale gene expression data related to human cancer in search for gene markers and disease sub-categories, (b) identifying regulatory elements such as miRNA precursors and their targets in whole genomes of plants and mammals, (c) building theoretical
models of gene regulatory networks.