###### Stochastic Logistic Model

- Two extensions of stochastic logistic model for fish growth have been examined. (scirp.org)

###### follow a logistic

- Under the BBL model, expected responses follow a logistic function which can be made equal to that of the Four Parameter Logistic (4PL) model. (umsystem.edu)
- Most populations do not grow exponentially, rather they follow a logistic model. (wikipedia.org)

###### regression analysis

- This example creates data sets to contain parameter estimates that are computed by a nominal logistic regression analysis for a set of imputed data sets. (sas.com)
- Regression analysis, Multiple regression analysis, Logistic regression is used as an estimate of criterion validity. (wikipedia.org)

###### discrete

- If one isolated species (corporation) is supposed to evolve following the logistic mapping, then we are tempted to think that the dynamics of two species (corporations) can be expressed by a coupled system of two discrete logistic equations. (igi-global.com)
- Each model is a cubic two-dimensional discrete logistic-type equation with its own dynamical properties: stationary regime, periodicity, quasi-periodicity, and chaos. (igi-global.com)
- Panel Data Discrete Choice Models with Lagged Dependent Variables ," Econometrica , Econometric Society, vol. 68(4), pages 839-874, July. (repec.org)
- However, the model is a general one, and can be applied wherever discrete data are obtained with the intention of measuring a quantitative attribute or trait. (wikipedia.org)
- In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more than two possible discrete outcomes. (wikipedia.org)

###### sigmoidal

- The logit (/ˈloʊdʒɪt/ LOH-jit) function is the inverse of the sigmoidal "logistic" function or logistic transform used in mathematics, especially in statistics. (wikipedia.org)

###### probability

- Not all classification models are naturally probabilistic, and some that are, notably naive Bayes classifiers, decision trees and boosting methods, produce distorted class probability distributions. (wikipedia.org)
- In the Rasch model, the probability of a specified response (e.g. right/wrong answer) is modeled as a function of person and item parameters. (wikipedia.org)
- Specifically, in the original Rasch model, the probability of a correct response is modeled as a logistic function of the difference between the person and item parameter. (wikipedia.org)
- When a person's location on the latent trait is equal to the difficulty of the item, there is by definition a 0.5 probability of a correct response in the Rasch model. (wikipedia.org)
- Multinomial logistic regression is a particular solution to the classification problem that assumes that a linear combination of the observed features and some problem-specific parameters can be used to determine the probability of each particular outcome of the dependent variable. (wikipedia.org)
- Similarly, a model that predicts a probability of making a yes/no choice (a Bernoulli variable) is even less suitable as a linear-response model, since probabilities are bounded on both ends (they must be between 0 and 1). (wikipedia.org)
- For example, the case above of predicted number of beach attendees would typically be modeled with a Poisson distribution and a log link, while the case of predicted probability of beach attendance would typically be modeled with a Bernoulli distribution (or binomial distribution, depending on exactly how the problem is phrased) and a log-odds (or logit) link function. (wikipedia.org)
- In a generalized linear model (GLM), each outcome Y of the dependent variables is assumed to be generated from a particular distribution in the exponential family, a large range of probability distributions that includes the normal, binomial, Poisson and gamma distributions, among others. (wikipedia.org)

###### Mathematical

- Mathematical modeling of the logistics of waste shipment is an effective way to provide input to program planning and long-range waste management. (unt.edu)
- The mathematical theory underlying Rasch models is a special case of item response theory and, more generally, a special case of a generalized linear model. (wikipedia.org)
- The mathematical form of the model is provided later in this article. (wikipedia.org)
- There are multiple equivalent ways to describe the mathematical model underlying multinomial logistic regression. (wikipedia.org)
- Since George Kingsley Zipf (the well-known "Zipf's Law"), a large number of mathematical models of the relation between rank and frequency has been proposed. (wikipedia.org)

###### Psychometrics

- In addition to psychometrics and educational research, the Rasch model and its extensions are used in other areas, including the health profession and market research because of their general applicability. (wikipedia.org)

###### LogitBoost

- Specifically, if one considers AdaBoost as a generalized additive model and then applies the cost functional of logistic regression, one can derive the LogitBoost algorithm. (wikipedia.org)
- Specifically, given that we seek an additive model of the form f = ∑ t α t h t {\displaystyle f=\sum _{t}\alpha _{t}h_{t}} the LogitBoost algorithm minimizes the logistic loss: ∑ i log ( 1 + e − y i f ( x i ) ) {\displaystyle \sum _{i}\log \left(1+e^{-y_{i}f(x_{i})}\right)} Jerome Friedman, Trevor Hastie and Robert Tibshirani. (wikipedia.org)

###### additive

- But the distribution of responses differs from the classical 4PL model which has additive normal errors. (umsystem.edu)
- Additive logistic regression: a statistical view of boosting. (wikipedia.org)

###### psychometric model

- The purpose of the present chapter is to introduce a psychometric model for time-limit tests. (springer.com)
- The Rasch model, named after Georg Rasch, is a psychometric model for analyzing categorical data, such as answers to questions on a reading assessment or questionnaire responses, as a function of the trade-off between (a) the respondent's abilities, attitudes, or personality traits and (b) the item difficulty. (wikipedia.org)
- Two approaches are available for the psychometric model of a CCT: classical test theory (CTT) and item response theory (IRT). (wikipedia.org)

###### multinomial

- Multinomial logistic regression is known by a variety of other names, including polytomous LR, multiclass LR, softmax regression, multinomial logit, maximum entropy (MaxEnt) classifier, conditional maximum entropy model. (wikipedia.org)
- Multinomial logistic regression is used when the dependent variable in question is nominal (equivalently categorical, meaning that it falls into any one of a set of categories that cannot be ordered in any meaningful way) and for which there are more than two categories. (wikipedia.org)
- The multinomial logistic model also assumes that the dependent variable cannot be perfectly predicted from the independent variables for any case. (wikipedia.org)
- If the multinomial logit is used to model choices, it relies on the assumption of independence of irrelevant alternatives (IIA), which is not always desirable. (wikipedia.org)
- If the multinomial logit is used to model choices, it may in some situations impose too much constraint on the relative preferences between the different alternatives. (wikipedia.org)
- Other models like the nested logit or the multinomial probit may be used in such cases as they allow for violation of the IIA. (wikipedia.org)

###### logit

- The logit model was introduced by Joseph Berkson in 1944, who coined the term. (wikipedia.org)
- The logit in logistic regression is a special case of a link function in a generalized linear model: it is the canonical link function for the Bernoulli distribution. (wikipedia.org)
- The logit is also central to the probabilistic Rasch model for measurement, which has applications in psychological and educational assessment, among other areas. (wikipedia.org)
- The inverse-logit function (i.e., the logistic function) is also sometimes referred to as the expit function. (wikipedia.org)
- In plant disease epidemiology the logit is used to fit the data to a logistic model. (wikipedia.org)
- Closely related to the logit function (and logit model) are the probit function and probit model. (wikipedia.org)
- In fact, the logit is the quantile function of the logistic distribution, while the probit is the quantile function of the normal distribution. (wikipedia.org)
- As a result, probit models are sometimes used in place of logit models because for certain applications (e.g., in Bayesian statistics) the implementation is easier. (wikipedia.org)

###### dichotomous

- In this paper we introduce and illustrate new functionality from the R package eRm for fitting, comparing and plotting of LLRA models for dichotomous and polytomous responses with any number of time points, treatment groups and categorical covariates. (springer.com)

###### algorithm

- In computer science, a logistic model tree (LMT) is a classification model with an associated supervised training algorithm that combines logistic regression (LR) and decision tree learning. (wikipedia.org)
- The harvester optimization model utilized a genetic algorithm to determine the optimal pass order, which minimized the non-working in-field time. (unl.edu)

###### parameter estimates

- Following the parameter estimates table, PROC LOGISTIC displays the odds ratio estimates for those variables that are not involved in any interaction terms. (sas.com)

###### conditional

- Inference for such models becomes possible within a framework of conditional maximum likelihood estimation. (springer.com)

###### latent trait

- 1968). Some latent trait models. (rasch.org)
- The modern test theory is based on latent trait model. (wikipedia.org)

###### parameters

- Its parameters can be related to covariates such as dose and gender through a regression model. (umsystem.edu)
- The Ballooned Beta-logistic (BBL) model expands the response boundaries from (0,1) to (L,U), where L and U are unknown parameters. (umsystem.edu)
- The asymptotic normality of maximum likelihood estimators (MLEs) is obtained even though the support of this non-regular regression model depends on unknown parameters. (umsystem.edu)
- These estimates are then combined to generate valid statistical inferences about the model parameters. (sas.com)
- In a similar way, the effects of the items can be studied as random parameters, yielding multilevel models with a within-item part and a between-item part. (ed.gov)
- However, there are important differences in the interpretation of the model parameters and its philosophical implications that separate proponents of the Rasch model from the item response modeling tradition. (wikipedia.org)
- In most contexts, the parameters of the model characterize the proficiency of the respondents and the difficulty of the items as locations on a continuous latent variable. (wikipedia.org)
- Classical test theory assumes a state model because it is applied by determining item parameters for a sample of examinees determined to be in each category. (wikipedia.org)
- The classification groups will need to be more or less arbitrarily defined along the continuum, such as the use of a cutscore to demarcate masters and nonmasters, but the specification of item parameters assumes a trait model. (wikipedia.org)
- They proposed an iteratively reweighted least squares method for maximum likelihood estimation of the model parameters. (wikipedia.org)

###### evaluates

- model evaluates the four-parameter logistic function and its gradient. (psu.edu)
- The Low-Level Waste Model evaluates the optimal transportation policy for shipping waste directly from the source to a final destination without any intermediate stops. (unt.edu)
- The Spent Fuel Logistics Model evaluates the optimal transportation policy for shipping unreprocessed spent fuel from nuclear power plants (1) indirectly, that is, to an Away-From-Reactor (AFR) storage facility, with subsequent transhipment to a repository, or (2) directly to a repository. (unt.edu)

###### Dependent Variable

- That is, it is a model that is used to predict the probabilities of the different possible outcomes of a categorically distributed dependent variable, given a set of independent variables (which may be real-valued, binary-valued, categorical-valued, etc. (wikipedia.org)

###### Inference

- Practical guidelines for the estimation and inference of a dynamic logistic model with fixed-effects ," Economics Letters , Elsevier, vol. 115(2), pages 300-304. (repec.org)
- Practical Guidelines for the Estimation and Inference of a Dynamic Logistic Model with Fixed-Effects ," Working Papers 2011-08, Center for Research in Economics and Statistics. (repec.org)

###### Rasch Models

- Linear logistic models with relaxed assumptions (LLRA) are a flexible tool for item-based measurement of change or multidimensional Rasch models. (springer.com)
- By requiring measures to remain the same (invariant) across different tests measuring the same thing, Rasch models make it possible to test the hypothesis that the particular challenges posed in a curriculum and on a test coherently represent the infinite population of all possible challenges in that domain. (wikipedia.org)

###### probabilistic

- 1960) Probabilistic models for some intelligence and attainment tests. (rasch.org)
- Binary probabilistic classifiers are also called binomial regression models in statistics. (wikipedia.org)
- Some classification models, such as naive Bayes, logistic regression and multilayer perceptrons (when trained under an appropriate loss function) are naturally probabilistic. (wikipedia.org)
- Other models such as support vector machines are not, but methods exist to turn them into probabilistic classifiers. (wikipedia.org)
- This situation does not differ from that in the natural sciences, which have since long abandoned the old deterministic and causal views of the world and replaced them by statistical/probabilistic models. (wikipedia.org)

###### measurement

- The use of cross-classification multilevel logistic models will be illustrated with an educational measurement application. (ed.gov)
- A central aspect of this divide relates to the role of specific objectivity, a defining property of the Rasch model according to Georg Rasch, as a requirement for successful measurement. (wikipedia.org)
- The rationale for this perspective is that the Rasch model embodies requirements which must be met in order to obtain measurement, in the sense that measurement is generally understood in the physical sciences. (wikipedia.org)
- The GLM generalizes linear regression by allowing the linear model to be related to the response variable via a link function and by allowing the magnitude of the variance of each measurement to be a function of its predicted value. (wikipedia.org)

###### data

- Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity ," Journal of Applied Econometrics , John Wiley & Sons, Ltd., vol. 20(1), pages 39-54. (repec.org)
- Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity ," CeMMAP working papers CWP18/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. (repec.org)
- Defective model does not adequately describe the data. (rasch.org)
- analyzing tabular data loglinear and logistic: The destruction and Goodreads am rather well gravel out the browser read above also ago, but not learn on nondegenerate guide to already be the EPKE request. (nodomainname.co.uk)
- This has honest for analyzing tabular data loglinear and logistic models for social researchers when Assessing an assistive site of parks, identifying the d to Report who was the philosophy. (nodomainname.co.uk)
- Beyond data, Rasch's equations model relationships we expect to obtain in the real world. (wikipedia.org)
- Models are most often used with the intention of describing a set of data. (wikipedia.org)
- Consequently, the Rasch model is not altered to suit data. (wikipedia.org)
- Data analysed using the model are usually responses to conventional items on tests, such as educational tests with right/wrong answers. (wikipedia.org)
- Statistical Methods for psychology include development and application statistical theory and methods for modeling psychological data. (wikipedia.org)

###### procedure

- Please find Alko Online Store logistic model and Listing procedure and retail sale of alcoholic beverages 1st May 2016 document in attachments below. (alko.fi)

###### statistical models

- Generalized linear models were formulated by John Nelder and Robert Wedderburn as a way of unifying various other statistical models, including linear regression, logistic regression and Poisson regression. (wikipedia.org)

###### function

- The two common way of designing reverse logistics network are the Mixed Integer Linear Programing (MILP) and Mixed Integer Non-Linear Programing (MINLP) methods, where the objective function, decision variables and constraint have to be defined This model is a two-level location problem with three type of facilities, integrated forward and reverse flow of goods. (wikipedia.org)
- Objective function: minimizing linear cost function including fix and variable costs Decision variables: location of manufacturer and distribution centeramount of production demand quantity of returned used products Constraints: satisfaction of the demand opening of facilities This model take into account just reverse flow of goods. (wikipedia.org)
- Robust optimization: This method is calibrating the model in that way to minimize the deviation of the values of the objective function at each scenario. (wikipedia.org)
- Imagine, for example, a model that predicts the likelihood of a given person going to the beach as a function of temperature. (wikipedia.org)
- Generalized linear models cover all these situations by allowing for response variables that have arbitrary distributions (rather than simply normal distributions), and for an arbitrary function of the response variable (the link function) to vary linearly with the predicted values (rather than assuming that the response itself must vary linearly). (wikipedia.org)

###### classification

- The combination of a multilevel model with random person effects and one with random item effects leads to a cross-classification multilevel model, which can be of interest for IRT applications. (ed.gov)

###### Parallel

- Parallel with predictive models development, biomarker researches emerged in an impressively great scale. (diva-portal.org)

###### prediction model

- The key question is how best to assess and quantify the improvement in risk prediction offered by new biomarkers or more basically how to assess the performance of a risk prediction model. (diva-portal.org)
- As an example, a prediction model might predict that 10 degree temperature decrease would lead to 1,000 fewer people visiting the beach is unlikely to generalize well over both small beaches (e.g. those where the expected attendance was 50 at a particular temperature) and large beaches (e.g. those where the expected attendance was 10,000 at a low temperature). (wikipedia.org)
- The problem with this kind of prediction model would imply a temperature drop of 10 degrees would lead to 1,000 fewer people visiting the beach, a beach whose expected attendance was 50 at a higher temperature would now be predicted to have the impossible attendance value of −950. (wikipedia.org)

###### odds

- I am trying to develop a plot a figure in which I would like to show the odds ratios obtained from a logistic model. (ethz.ch)
- Such a model is a log-odds or logistic model. (wikipedia.org)

###### Statistics

- In statistics, the generalized linear model (GLM) is a flexible generalization of ordinary linear regression that allows for response variables that have error distribution models other than a normal distribution. (wikipedia.org)

###### responses

- The beta distribution is a simple and flexible model in which responses are naturally confined to the finite interval (0,1). (umsystem.edu)
- In contrast, the BBL model naturally has bounded responses and inhomogeneous variance. (umsystem.edu)
- In IRT models, responses are explained on the basis of person and item effects. (ed.gov)

###### Economics

- In order to modelling reverse logistics network from an economics point of view, the following simplified reverse logistics system has to be set. (wikipedia.org)

###### Andrich

- Andrich, D. (2004) Controversy and the Rasch model: A characteristic of incompatible paradigms? (rasch.org)

###### distribution

- A new derivation of the logistic distribution. (springer.com)
- In this model the products are gathered from the consumers and transferred back to the producers, hence the direction of the flow in the distribution supply chain is reversed and the model is expanded with the recovery center. (wikipedia.org)

###### differences

- For most practical purposes these models are the same, despite their conceptual differences. (rasch.org)

###### species

- As three basic relationships between two species are present in nature, namely symbiosis, predator-prey, and competition, three different models are obtained. (igi-global.com)

###### Variable

- This implies that a constant change in a predictor leads to a constant change in the response variable (i.e. a linear-response model). (wikipedia.org)

###### Linear

- Linear logistic models for change. (springer.com)
- Rusch T., Maier M.J., Hatzinger R. (2013) Linear Logistic Models with Relaxed Assumptions in R. In: Lausen B., Van den Poel D., Ultsch A. (eds) Algorithms from and for Nature and Life. (springer.com)
- Logistic model trees are based on the earlier idea of a model tree: a decision tree that has linear regression models at its leaves to provide a piecewise linear regression model (where ordinary decision trees with constants at their leaves would produce a piecewise constant model). (wikipedia.org)
- Such a model is termed an exponential-response model (or log-linear model, since the logarithm of the response is predicted to vary linearly). (wikipedia.org)

###### Hambleton

- In addition, Polychromous IRT Model are also useful (Hambleton & Swaminathan, 1985). (wikipedia.org)

###### Aspect

- The most severe drawback of MILP is the static aspect, hence MINLP try to relieve these restriction and develop further the existing model with dynamic elements, such as integrating cycle time, time and inventory positions. (wikipedia.org)

###### population

- This analytic solution is useful in analyzing the behavior of population models. (wikipedia.org)
- The approximation is particularly useful in models with a very large state space, such as stochastic population models. (wikipedia.org)

###### Binary

- For the binary case, a common approach is to apply Platt scaling, which learns a logistic regression model on the scores. (wikipedia.org)
- This allows the choice of K alternatives to be modeled as a set of K-1 independent binary choices, in which one alternative is chosen as a "pivot" and the other K-1 compared against it, one at a time. (wikipedia.org)

###### Discrimination

- Discrimination, calibration, and added predictive value have been recently suggested to be used while comparing the predictive performances of the predictive models' with and without novel biomarkers.Objectives: Lack of user-friendly statistical software has restricted implementation of novel model assessment methods while examining novel biomarkers. (diva-portal.org)

###### approximation

- The approximation has been used successfully to model the spread of the Africanized bee in the Americas and nematode infection in ruminants. (wikipedia.org)

###### Example

- A reasonable model might predict, for example, that a change in 10 degrees makes a person two times more or less likely to go to the beach. (wikipedia.org)

###### construct

- Furthermore, these models could be considered as the basic ingredients to construct more complex interactions in the ecological and economic networks. (igi-global.com)

###### growth rate

- The basic features of a logistic growth rate are deeply influenced by the carrying capacity of the system and the changes are periodical with time. (scirp.org)

###### partial

- Extending rating scale and partial credit model for assessing change. (springer.com)
- A Rasch model for partial credit scoring. (springer.com)

###### advantages

- We show the BBL model has advantages over the 4PL model. (umsystem.edu)

###### variables

- The main objective is to maximize profit by determining the optimal number of facilities in order to: collection point be close to the consumers returning process be simple collection period be appropriate Sensitivity analysis: Through sensitivity analysis it can be tested how the output of the model will be changed if the decision variables such as the returned amount, number of disassembly and cost are varying. (wikipedia.org)

###### Output

- PROC LOGISTIC displays a table of the Type 3 analysis of effects based on the Wald test ( Output 60.2.2 ). (sas.com)

###### Theory

- The Item Response Theory has three models. (wikipedia.org)

###### regression models

- Multivariable logistic regression models were performed using bootstrap weights. (crdcn.org)
- This has usually been done with regression models, but Markov chain methods have also been applied. (wikipedia.org)

###### workflow management

- Typical examples of domains are block stacking, logistics, workflow management, and robot task planning. (wikipedia.org)
- Workflow management: models, methods, and systems. (wikipedia.org)

###### Specification

- For a detailed list of covariates used in the model, please refer to the Model Specification document. (cihi.ca)
- In 1992 he started working at the Eindhoven University of Technology as an assistant professor for the department of Mathematics and Computing Science, where he headed the Specification and Modeling of Information systems (SMIS) research group. (wikipedia.org)

###### 2002

- In 2002, Ricochet Couriers acquired Burnham Logistics who provided peripheral technicians (200) plus moves and installations of IT equipment. (wikipedia.org)

###### physiologic

- Consequently, a more complete understanding of physiologic models for conduct of both fundamental and applied skeletal muscle research. (wikipedia.org)
- They then seek to validate the model predictions using human, in vivo physiologic measurements of pressures (high fidelity transducers) and flows (echocardiography) of masses and volumes of heart chambers (cardiac MRI). (wikipedia.org)

###### processes

- This will greatly increase the flexibility of logistics processes and companies' ability to control and monitor them. (ivtinternational.com)

###### fundamental

- Smart IT solutions are fundamental to modern logistics. (ivtinternational.com)

###### companies

- Digitalization will boost logistics companies' performance across all of these critical success factors. (ivtinternational.com)
- Oxford Economics was founded in 1981 as a commercial venture with Oxford University's business college to provide economic forecasting and modelling to UK companies and financial institutions expanding abroad. (financialservices.org)
- The companies - often with entirely new business models and strategies - are also offering cheaper prices, better choices and often targeting the most profitable customers with the most lucrative products. (innovations-report.com)
- See T. V. Sundaram Iyengar paved the way for the TVS Group TVS group now has $7bn annual revenue worldwide currently comprises around over 50 companies in diverse fields UK Group Turnover £180m India Logistics Group Turnover $557m Global Reach, strategic facilities in 11 European Countries and India Major shareholders in TVS/Rico - KKR and Goldman Sachs (40%) On 1 November 2013, Rico acquired DHL Sameday in the UK. (wikipedia.org)

###### integration

- Developments like mobile internet and the digital integration of all end-users into the production and supply chain are opening up new opportunities and giving rise to new business models," remarked Gruchow. (ivtinternational.com)
- Like other core areas of the logistics industry, the cranes and lifting equipment sector faces major challenges from the growing trend toward digital integration and Industry 4.0. (ivtinternational.com)

###### industry

- The impact of Industry 4.0 technologies on logistics will be the overarching theme at the upcoming CeMAT," said Dr Andreas Gruchow, member of the Managing Board at Deutsche Messe, during the CeMAT preview in Hannover this week. (ivtinternational.com)
- Competitiveness in the logistics industry ultimately comes down to speed, precision, flexibility and availability. (ivtinternational.com)
- Our best-of-class global economic and industry models and analytical tools give us an unparalleled ability to forecast external market trends and assess their economic, social and business impact. (financialservices.org)
- This work influenced industry standards such as the Business Process Execution Language (BPEL), the Business Process Modeling Notation (BPMN), etc. (wikipedia.org)

###### sought

- Various analyses have sought to model length of stay in different condition contexts. (wikipedia.org)

###### systems

- Liu's research interests in early 2000s have been in the field of "requirements studies, information systems analysis and design, object methods for systems engineering, normative modelling of software agents, e-commerce systems, digital strategy and leadership. (wikipedia.org)
- More recently, these interests has shifted towards "organisational semiotics, requirements studies, enterprise information systems management and engineering, business processing modelling, alignment of business and IT strategies, co-design of business and IT systems, pervasive informatics and intelligent spaces for working and living. (wikipedia.org)
- Learning to rank or machine-learned ranking (MLR) is the application of machine learning, typically supervised, semi-supervised or reinforcement learning, in the construction of ranking models for information retrieval systems. (wikipedia.org)

###### software

- In recognition of this, CeMAT's organizers have created a new, dedicated display area for all the latest logistics software applications the Logistics IT in Hall 27. (ivtinternational.com)

###### research

- Our global team is highly skilled in a full range of research techniques and thought leadership capabilities, from econometric modelling, scenario framing, and economic impact analysis to market surveys, case studies, expert panels, and web analytics. (financialservices.org)
- This next step to find a suitable animal model involved a surprising coincidence: Bassuk, who had only recently joined the UI, realized through online research that the PRICKLE1 gene in zebrafish had been previously identified by another University of Iowa researcher, Diane Slusarki, Ph.D., associate professor of biology in the UI College of Liberal Arts and Sciences. (innovations-report.com)
- The Kovács research group is primarily a theory group which has pioneered conceptual frameworks for analyzing diastole by incorporating and kinematically modeling the suction pump role of the heart, and the dynamics of the four-chambered heart in the space of coordinates spanned by P (pressure), V (volume), and their time rates of change dP/dt and dV/dt. (wikipedia.org)

###### document

- Typically, users expect a search query to complete in a short time (such as a few hundred milliseconds for web search), which makes it impossible to evaluate a complex ranking model on each document in the corpus, and so a two-phase scheme is used. (wikipedia.org)

###### supply chain

- In other words, the foremost trade show for intralogistics and supply chain management held on May 31-June 3 in Hannover, Germany will highlight the pivotal role of logistics in today's increasingly digitized and integrated industrial value chains. (ivtinternational.com)
- On 28 September 2012 Rico was majority acquired by TVS Logistics Services for an undisclosed sum and has been grouped within the TVS Supply Chain Services (TVS SCS) operation which has its European Headquarters in Chorley, Lancashire, UK. (wikipedia.org)
- It is a not-for-profit professional development association in the supply chain and transportation logistics sector. (wikipedia.org)
- CITT is supported and governed by a volunteer Board of Directors composed of thirteen supply chain and logistics professionals as well as two internal auditors. (wikipedia.org)

###### business models

- He says that the recent dot com crash has not changed the fundamentals of Internet banking and that the established banks and building societies must radically overhaul the strategies and business models which brought them success in the past to maintain their competitive position - and soon. (innovations-report.com)
- The Internet, as a new distribution channel for financial services, has lowered barriers to entry in the banking system, allowing new players, often equipped with new technologies and business models, to enter the market. (innovations-report.com)

###### latest

- Under the contract, in addition to Heavy Expanded Mobility Tactical Trucks (HEMTT), PLS trucks, will be Recapitalized to the latest model configuration and the same zero-mile, zero-hour condition as new production vehicles. (wikipedia.org)

###### activities

- A third site, located in the city of Saquarema, is used as a support and logistics center for field activities. (wikipedia.org)

###### sector

- The Group's projects in the Urban Infrastructure sector include a multi-product SEZ and Large Area Development in Krishnagiri, Tamil Nadu, a captive port based multi-product SEZ in Kakinada, Andhra Pradesh, Aviation and Logistics SEZ around the Hyderabad International Airport and development of a Central Business District around the Delhi International Airport. (wikipedia.org)

###### operations

- Tri-tec had Field Service Logistics and operations in Northern Ireland and Southern Ireland, with an IT repair operation in Dublin. (wikipedia.org)

###### fast

- First, a small number of potentially relevant documents are identified using simpler retrieval models which permit fast query evaluation, such as the vector space model, boolean model, weighted AND, or BM25. (wikipedia.org)

###### done

- In known environments with available models, planning can be done offline. (wikipedia.org)

###### group

- Employing the Public Private Partnership model, the Group has implemented several infrastructure projects in India. (wikipedia.org)

###### technical

- Ricochet developed the technical swap model rapidly and began using fully trained IT engineers to enhance and support their clients' requirements. (wikipedia.org)