Sentences with phrase «models of this process pattern»

«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.

Not exact matches

Depending your business model pattern, also known as business strategy, you might start the ideation process from different building blocks of your business model canvas.

Bryant's departure follows a pattern that we've now seen repeated in the industry: Longtime CEOs are stepping aside as they battle activist investors, the pressure to implement the 3G - backed Kraft Heinz model of cost cutting, consumers eschewing their processed products, and pressure to slash their prices from retailers fending off Amazon (amzn).

A kind of rational intuition is needed to perceive the general principles which are there ready - made in actuality.6 Or if patterned on the genetic - functional model, the generalizations have as their subject - matter «distinctions that arise in and because of inquiry into the subject - matter of experience - nature, and then they function or operate as divisions of labor in the further control and ordering of its materials and processes» (DWP 175).

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.

He did not hold to both models in Dewey's terms, but he did hold to the importance of both pattern and process.

In accordance with the principle of process, the model implies that a novel idea will be reflected in a novel pattern of brain waves.

Ultimate models — whether of a personal God or an impersonal cosmic process — direct attention to particular patterns in events and restructure the way one sees the world.

Metaphors, I said, may momentarily encourage us to see patterns which we might not have noticed (the process which Black termed «construing as»), but models systematically suggest distinctive ways of looking at things (for which I proposed the term «interpreting as» in preference to Hick's phrase, «experiencing as»).

Political models should be: (1) relevant — they should reflect the empirical system they attempt to symbolize; (2) economical — they should simplify that which is being modeled; (3) rigorous — they should apply the same operating rules and assumptions of the scheme at every level of the system; (4) combinatorially rich — they should be able to generate webs of relationships or patterns throughout the system; (5) powerful organizers — they should have relevance or correspondence to processes beyond the range of their initial concern; (6) original — they should give insights beyond the highly probable visions of everyday language and experience.

The study, conducted using fruit fly populations bred to model natural variations in human sleep patterns, provides new clues to how genes for sleep duration are linked to a wide variety of biological processes.

To obtain the 3D model, first a series of clear and dark lights are generated using a cannon, which must be projected laterally on the object to be scanned, then the 3D camera captures binary patterns (sequences lines) that are processed by the software to detected dimensions to form the model with the real measurements.

A new model of the brain's thought processes explains the apparently chaotic activity patterns of individual neurons.

The volume, which grew out of an August 1998 symposium in Crested Butte, Colorado, provides a good overview of how butterflies can serve as model systems for understanding ecological and evolu - tionary patterns and processes.

«We are exploring this through modelling information processing in parts of the insect brain, and we find that often, exceedingly difficult tasks, for example in visual pattern recognition or floral scent learning, can be solved with extremely simple neural circuits.

Mathematical models allow us to understand how patterns and processes in the real world are generated and how complex behaviour, such as the collective movement of animal groups, can be produced from simple individual level rules.

Raunkier (1934) plant life - forms were also extrapolated throughout the 7 environments, these plant characteristics show continually expressed distribution patterns which were summarized by imposing the boundaries of Rastrigin's function, Gaussian process model to give spectra, for the results of this standardized analysis see Furze et al., 2013d.

Stage theory conceptualizes leadership succession as a process with distinct phases and demands, rather than a singular event.212 Patterns in the process have been identified, and the ways in which each phase of the succession process shapes and influences the outcome of subsequent phases have been described.213 Most stage models predict that it takes at least five to seven years to build relationships of trust that can serve as a foundation for movement to later stages of the succession process — «consolidation and refinement,» in Gabarro «s (1987) terms.

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.

The spray pattern for the fuel was optimized after extensive computer modeling work, with the angle of how the fuel is sprayed key to the process.

The author, Rev. Tom Pedigo, calls this model «The Temple Pattern» which involves a simple threefold process of musically moving from the Outer Court (celebration and jubilation) to the Inner Court (reflection and expectation) and into the Holy of Holies (adoration and spiritual communion).

Using the patterns appearing on objects such as a towel or a quilt as models, and tweaking them subtly but crucially in the transition from decorative source to painting, White's gesture of appropriation is set against a meticulous process of adaptation.

This new, 9 - and - a-half-foot tall bronze sculpture is created in part through a unique process involving the application of a vinyl lace pattern on a full - scale wood «model.»

Originally published in 1970 and integrated into the design of the Critical Studies curriculum at CalArts, the book was accompanied by large graphic posters that could serve as a portable learning environment for a new process - based model of education, and a bibliography and checklist that map patterns and relationships between radical thought and artistic practices — from the avant - gardes to postmodernism — with Marcuse and McLuhan serving as points of anchorage.

Adding another layer of automation and chance to his process, Depeña works with software to create random patterns and generate line work from drawings that are in turn used to create 3 - dimensional cutting models.

«It... suggests that the model likely contains the key physical processes that control the geographical pattern of global warming at the earth surface.»

We provide a list of issues that need to be addressed to make inferences more defensible, including the consideration of (i) data limitations and the comparability of data sets; (ii) alternative mechanisms for change; (iii) appropriate response variables; (iv) a suitable model for the process under study; (v) temporal autocorrelation; (vi) spatial autocorrelation and patterns; and (vii) the reporting of rates of change.

• Representation of climate processes in models, especially feedbacks associated with clouds, oceans, sea ice and vegetation, in order to improve projections of rates and regional patterns of climate change.

We conclude that the most valid model of the spatial pattern of trends in land surface temperature records over 1979 — 2002 requires a combination of the processes represented in some GCMs and certain socioeconomic measures that capture data quality variations and changes to the land surface.

Although the first two sources of model uncertainty - different climate sensitivities and regional climate change patterns - are usually represented in climate scenarios, it is less common for the third and fourth sources of uncertainty - the variable signal - to - noise ratio and incomplete description of key processes and feedbacks - to be effectively treated.

General Introduction Two Main Goals Identifying Patterns in Time Series Data Systematic pattern and random noise Two general aspects of time series patterns Trend Analysis Analysis of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in TimPatterns in Time Series Data Systematic pattern and random noise Two general aspects of time series patterns Trend Analysis Analysis of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Timpatterns Trend Analysis Analysis of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Time Series

• Decreased external risks for projects by ensuring that all module officers are in sync with each other, leading to an increase in coordination between departments • Developed and implemented community - focused responses for development projects • Established quantitative staffing models to communicate staffing resource levels to higher management • Developed dedicated analytic tools to outline resources requests, strategy choices and tradeoff needs • Assisted in identifying trends and shifts within execution patterns • Ensured that any changes or adjustments are informed to the higher management • Performed research work to provide input for development of new resources and processes • Ascertained that the project lifecycle is appropriately controlled through proper management and supervision

All of EFT therapy is a process of building trust — and we take our time throughout the model, step by step, first of all tracking how an automatic self - protective pattern is blocking partners from trusting, and when it is safe enough to share the underlying fears and needs, to reshape a bond of trust.

Through thoughtful, individualized application of the Teaching - Family Model coupled with intensive clinical work, we have found that our students are able to make significant changes, both in their outward behavior patterns and more importantly, in their inner thought patterns and processes.

The development of a foundational practice model of CFA in Intake will allow workers to begin a process for gathering a holistic, «big picture» assessment of family patterns over time, rather than focusing solely on the incident that brought the family to child protection.

These include a systemic and attachment model that helps to identify patterns of behaviour, family and societal scripts and experiences that influence our thought processes and belief systems; a psychodynamic approach that enables the client to identify early life experiences that may be influencing their present and a person - centred approach that allows the client the space to express their feelings and work through their problems within a supportive environment.

Besides the fundamental notion that children maintain separate representations of attachment to mother and father in the first years of life (Belsky and Rovine 1988), it has been argued that relationship - specific representations merge into a unitary pattern by late middle childhood (Dykas et al. 2006), as executive functioning becomes more efficient, allowing better voluntary control of attentional processes, and sophisticated appraisal skills that enable children to integrate multiple and different representations into more abstract models (Zimmermann and Iwanski 2015).