Sentences with phrase «mathematical modeling of the processes»

Using the quantitative approach of physicists, the team developed experimental tools to measure precisely the bacterial response to antibiotics, and developed a mathematical model of the process.

Hao and his colleagues conducted mathematical modeling of the processes that generate Mercury's magnetic field.

«For conventional mathematical models of this process pattern formation of MinE and MinD on the membrane can only work if the concentration of MinE is less than that of MinD,» says Jonas Denk, a PhD student in Frey's team and joint first author of the new paper.

Dr. Greg Foley: Engineering design and analysis of membrane filtration systems, General mathematical modelling of processes.

Not exact matches

Whitehead used «the mathematical model» to represent the pattern within the process and the «genetic - functional model» to represent the ontological ultimacy of the historic process.

Computer simulations have become a useful part of mathematical modelling of many natural systems in physics, chemistry and biology, human systems in economics, psychology, and social science and in the process of engineering new technology, to gain insight into the operation of those systems.

It also brings to bear new ways of using information technology, combined with mathematical models based on biological rather than physical processes.

Due to the real «go on ice» researchers receive the unique scientific data, which is then used in construction of mathematical models among them are integral characteristics of the processes (the diameter and depth of explosive lanes, etc.).

«This is precisely why a comprehensive mathematical model is so useful: we use accessible data from the production process in real time, such as the concentration of various substances in the bioreactor, and use our computer model to calculate the most probable state of the process.»

By studying liquid plugs in simple glass tubes, he developed a mathematical model describing liquid transport process in each generation of the airway tree.

Any results that are reported to constitute a blinded, independent validation of a statistical model (or mathematical classifier or predictor) must be accompanied by a detailed explanation that includes: 1) specification of the exact «locked down» form of the model, including all data processing steps, algorithm for calculating the model output, and any cutpoints that might be applied to the model output for final classification, 2) date on which the model or predictor was fully locked down in exactly the form described, 3) name of the individual (s) who maintained the blinded data and oversaw the evaluation (e.g., honest broker), 4) statement of assurance that no modifications, additions, or exclusion were made to the validation data set from the point at which the model was locked down and that neither the validation data nor any subset of it had ever been used to assess or refine the model being tested

Replacement alternative methods include the use of data concerning the physicochemical properties of chemicals; predictions based on structure - activity relationships, including the use of qualitative and quantitative mathematical models; the biokinetic modelling of physiological, pharmacological, and toxicological processes; experiments on lower organisms not classed as?

To explore the role of bias in peer review, Day created a simplified mathematical model of the review process.

She set up a collaboration with a colleague in her husband's department who was working on a mathematical model of a biological process she was knowledgeable about.

Until now this type of analysis has been a tedious process that involves comparing actual images of lenses with a large number of computer simulations of mathematical lensing models.

These statistical fluctuations produce the background noise that makes it so difficult for mathematical models to provide clear predictions with respect to individual iterations of such probabilistic processes.

They test their hypotheses about the universe by developing mathematical models that describe the underlying complex physical processes and run them on high - performance computers trying to reproduce the evolution of the Universe over billions of years.

The process consists in knowing the type of proteins in charge of metabolizing the drugs (enzymes) for each patient which would, helped by a mathematical model, allow to establish the exact dose needed of the immunosuppressive drugs required.

They transform their knowledge about the physical processes forming our universe into mathematical models and simulate the evolution of our universe on high - performance computers over billions of years.

Method development comprises construction and analysis of mathematical models that describe complex scientific, technical as well as socio - economic processes, the development of efficient algorithms for simulation or optimization of such models, accompanying development of visualization, large scale data management and data analysis techniques, and transfer of algorithms into efficient software and high performance computing techniques.

Schall, Gordon Logan and Thomas Palmeri are linking the dynamics of neuron signals to cognitive processes through the use of mathematical models.

At ZIB we aim at understanding biological and biochemical processes with a high spatio - temporal resolution by extracting biological structures from large - scale microscopy and by mathematical modeling of biological networks.

This explains how mathematical modelling makes teaching and learning of mathematics more effective and interesting.In this presentation various steps involved in the process of mathematical modelling is explained with examples.

undertake a range of mathematical operations, applications and processes including measuring, counting, estimating, calculating, drawing, modelling and discussing (the underlying mathematical skills and knowledge required to undertake the required investigations or tasks);

Teachers with more mathematical knowledge for teaching were more likely to supply mathematical explanations, to use better concrete models of mathematical processes, and to «translate» more accurately between students» everyday language and mathematical language.

FEATURES 18 Teacher guide activities that model concrete representations of abstract mathematical concepts Teacher support that provides in - depth discussions of mathematical content and critical thinking Easy - to - use resources that offer classroom — tested lesson plans targeting the big ideas of math 8 Math Cooperation Mats that allow students to work collaboratively on a task The mats provide a checklist of the problem - solving process Pattern Blocks classroom kit of manipulatives in a durable, easy - to - clean plastic tote PRODUCT PERKS Teacher Guide - Features 18 rich tasks that teach content and practice standards using the most common manipulatives.

FEATURES 18 Teacher guide activities that model concrete representations of abstract mathematical concepts Teacher support that provides in - depth discussions of mathematical content and critical thinking Easy - to - use resources that offer classroom — tested lesson plans targeting the big ideas of math 8 Math Cooperation Mats that allow students to work collaboratively on a task The mats provide a checklist of the problem - solving process Base Ten Blocks classroom kit of manipulatives in a durable, easy - to - clean plastic tote PRODUCT PERKS Teacher Guide - Features 18 rich tasks that teach content and practice standards using the most common manipulatives.

Based on a new learning model developed by Stanford that reframes the process of learning math for digital natives: Understand - Apply - Create, Redbird Mathematics systematically progresses students to mathematical mastery.

Features 18 Teacher guide activities that model concrete representations of abstract mathematical concepts Teacher support that provides in - depth discussions of mathematical content and critical thinking Easy - to - use resources that offer classroom — tested lesson plans targeting the big ideas of math 8 Math Cooperation Mats that allow students to work collaboratively on a task The mats provide a checklist of the problem - solving process Base Ten Blocks classroom kit of manipulatives in a durable, easy - to - clean plastic tote Includes Teacher resource book Corresponding manipulative kit Math cooperation mat

Let's stay within the convenes of Chapter 2 and explore the mathematical process of modeling that embodies each of those Reasoning Habits.

Within the structure for thinking about the mathematics: analyzing the problem, implementing a strategy, seeking and using connections, and reflecting on a solution, I believe that mathematical modeling fits within each of those structures / processes of thinking.

The primary requirements of the work are (a) professional competence in applying the theoretical foundations of computer science, including computer system architecture and system software organization, the representation and transformation of information structures, and the theoretical models for such representations and transformations; (b) specialized knowledge of the design characteristics, limitations, and potential applications of systems having the ability to transform information, and of broad areas of applications of computing which have common structures, processes, and techniques; and (c) knowledge of relevant mathematical and statistical sciences.

In addition to viewing the art, guests were invited to explore Man Ray's artistic process by making our own photographs of mathematical models and utilizing Instagram to add artistic effects, with «InstaManRay.»

At the end of the day the models are just mathematical representations of climatic (or meteorological) processes as they are understood by the people who develop them.

Consisting of hundreds of inter-related mathematical equations that are processed on super-computers, these models are adapted from those used for weather - forecasting.

These maps rely on mathematical models that process raw data on the amounts of microwave radiation that reach a variety of satellite sensors from cloud ice content and the land and ocean surfaces below.

So it seems to me that the simple way of communicating a complex problem has led to several fallacies becoming fixed in the discussions of the real problem; (1) the Earth is a black body, (2) with no materials either surrounding the systems or in the systems, (3) in radiative energy transport equilibrium, (4) response is chaotic solely based on extremely rough appeal to temporal - based chaotic response, (5) but at the same time exhibits trends, (6) but at the same time averages of chaotic response are not chaotic, (7) the mathematical model is a boundary value problem yet it is solved in the time domain, (8) absolutely all that matters is the incoming radiative energy at the TOA and the outgoing radiative energy at the Earth's surface, (9) all the physical phenomena and processes that are occurring between the TOA and the surface along with all the materials within the subsystems can be ignored, (10) including all other activities of human kind save for our contributions of CO2 to the atmosphere, (11) neglecting to mention that if these were true there would be no problem yet we continue to expend time and money working on the problem.

The models and forecasts of the IPCC «is incorrect because only are based on mathematical models and presented results at scenarios that do not include, for example, solar activity,» said the specialist also in image processing and signs and prevention of natural disasters.

Another area where mathematical approaches provide advances in remote solar design is in the process of creating a 3D site model.

A model is a mathematical representation of a real - world physical process.

In 3D assimilation, the observational data is incorporated into the model every 6 hours using a complicated statistical interpolation scheme that is not necessary if only wind data is used (as proved in the mathematical analysis of the process and demonstrated in Sylvie Gravel's manuscript).

Image restoration is a kind of process where we try to understand the mathematical model which describes a specific defect and, inverting it, tries to restore an image as much as possible close to a hypothetical original without the defect (for example correcting a blurred image or lens distortion).

Lloyd Webb, Cylance's Director of Sales Engineering for EMEA, explains the process: «On a daily basis we'll take feeds of malware and learn from that malware, and twice a year we'll put out a brand - new mathematical model.

• Hands - on experience in developing and implementing analytic and mathematical models for testing supply chain sequences • Highly skilled in designing, developing and adapting statistical and econometric techniques to analyze supply chain management problems and roadblocks • Effectively able to determine and implement strategic plans to ensure prompt problem resolution • Skilled in performing researching activities to and economic analysis and initiating new studies • Proven ability to develop and implement risk mitigation plans to ensure smooth supply chain operations • Track record of defining and implementing metrics to enable effective sourcing and supplier performance management • Deep insight into key performance indicators (KPIs) that measure and improve sourcing and supply chain performance • Competent at utilizing influence management skills to negotiate movement of products in order to meet bulk deal demands • Proficient in reporting n field cycle count processes in sync with regulatory requirements of the company • Proven ability to manage established inventory levels in accordance to inventory levels dictated by set business models