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Predicting force generation by lamprey muscle during applied sinusoidal movement using a simple dynamic model

Predicting force generation by lamprey muscle during applied sinusoidal movement using a simple dynamic model

Experiments were performed on single-myotome preparations of lamprey muscle, to discover whether force developed by intermittent tetanic stimulation during imposed sinusoidal movement could be predicted by data collected from isometric and constant-velocity experiments. We developed a simple dynamic model consisting of a set of simultaneous ordinary differential equations with unknown parameters. Appropriate values of the parameters were found by fitting numerical solutions of the differential equations to data from the isometric and constant-velocity

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Modelling the impact of acid deposition on forest soils in North Bohemian Mountains with two dynamic models: the Very Simple Dynamic Model (VSD) and the Model of Acidification of Groundwater in Catchments (MAGIC)

Modelling the impact of acid deposition on forest soils in North Bohemian Mountains with two dynamic models: the Very Simple Dynamic Model (VSD) and the Model of Acidification of Groundwater in Catchments (MAGIC)

Enormous acid deposition that culminated in the 1970s contributed largely to accelerate the process of acidifica- tion of soils in northern Bohemia. As a consequence a wide forest decline occurred shortly afterwards. In this paper we present a long-term soil acidification modelling with two dynamic models (Model of Acidification of Groundwater in Catchments and Very Simple Dynamic Model) to describe history, make successive prediction, and assess possibility of recovery of the ecosystem. Focused on eight soil acidification indicators we found a strong rise of the soil acidification status in 1970s, when emission load culminated, and a large decrease after the year 2000 (after flue gas desulfurization). We further revealed slight differences, but general similarity, for both dynamic models. The results indicate that the impact of historic massive pollution will not probably be eliminated in the future by the year 2100.
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A Simple Dynamic Model for Estimating the Effect of Gaps on Response of a Spent Fuel Transportation Cask Closure Lid During a Drop Impact

A Simple Dynamic Model for Estimating the Effect of Gaps on Response of a Spent Fuel Transportation Cask Closure Lid During a Drop Impact

The objective of the paper is to develop a simple dynamic model to estimate the influence of gaps and various other parameters on closure lid response during a drop impact event. This can most easily be accomplished by creating an equivalent single degree of freedom idealization of the problem. Such an approach is a well established technique for the approximate solution of dynamic problems in the areas of impact and impulse loading (Biggs 1964).

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durs pre

durs pre

Outline Basic Optimization Model: Continuous Choice Dynamic Discrete Choice: Simple Dynamic Discrete Choice: Complex.. Outline.[r]

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A Novel Approach of Design & Implementation of Cloud Big Table Dr. V. Goutham

A Novel Approach of Design & Implementation of Cloud Big Table Dr. V. Goutham

Cloud Bigtable, which is sparsely populated table to scale billions of rows and thousands of columns, enabling storing petabytes or terabytes of data across thousands of commodity servers. Google has had to resolve the challenges that many companies bearing the difference is the sheer scale of the problem. They‟ve often had to design entirely new approaches to meet the demand of their businesses. Over the past decade, Google has developed many traditional solutions to carry their own products and services. They‟ve proposed many of these internal solutions in white papers and so many have developed into open source projects that now are the footing of the Hadoop ecosystem. Five foundational Google projects that have changed the era of big data landscape forever. Many projects at Google store data in Bigtable, including Google MapReduce (Apache Hadoop), Google Bigtable (Apache HBase), Google “Borg”(Apache Mesos), Google Chubby(Apache Zookeeper), Google Dremel(Apache Drill). These are just a few examples of the ways Google has set the stage for the Bigdata revolution. Bigtable has successfully furnished a flexible, high-performance solution for all of these Google products. In this paper we represent the simple data model provided by Bigtable, which gives clients dynamic control over data layout and format, features of cloud Bigtable, and we describe the design and implementation of Bigtable. This paper describes overview of the client API, the underlying Google infrastructure on which Bigtable depends, fundamentals of the Bigtable implementation; We describe several examples of how Bigtable is used at Google.
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Dynamic model of a simple supported RC rectangular plate for spreadsheet application - Part I: Motion in elastic domain

Dynamic model of a simple supported RC rectangular plate for spreadsheet application - Part I: Motion in elastic domain

Two simple examples are considered: a square plate loaded by a uniform pressure and a rectangular plate (a x 2a) loaded by a punctual force centred on the middle of the plate. The results, in terms of displacement, bending moment and shearing forces, are compared to those proposed by Bares. The relative differences are found around or less than 1%.

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A Simple Method for Dynamic Scheduling in a Heterogeneous Computing System

A Simple Method for Dynamic Scheduling in a Heterogeneous Computing System

the new task size is too sensitive to all small changes in the system load. In the latter case, the dynamic scheduling strategy is rigid. In both cases lower levels of performance were observed. Of course, there are lower and up- per limits of minimum and maximum task size. We have obtained the highest performance for 0 : 05 0 : 1. We have decided to use factor

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The Evolutionarily Stable Distribution of Fitness Effects

The Evolutionarily Stable Distribution of Fitness Effects

This drift-barrier intuition forms the basis for many previous empirical studies (Loewe and Charlesworth 2006; Lohmueller et al. 2008; Sung et al. 2012) and theoretical work on the evolution of the mutation rate (Lynch 2011). To some ex- tent, the robustness of this single-locus prediction is sur- prising, given that it appears to hold even when sites do not evolve independently. Our analysis shows how this simple result emerges more generally and illustrates how it breaks down in the presence of epistasis. In addition, we have shown that the single-locus analysis fails to predict the substitution rate. Thus, while drift-barrier arguments can correctly predict the probability that a given locus is fixed for the beneficial allele, they will often substantially underes- timate the rate of fixation of both beneficial and deleterious
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A Simple Model of the Difference Principle

A Simple Model of the Difference Principle

Conversely, the difference principle is also a principle of justice. Thus, some political and philosophical considerations that surpass theoretical economic thinking are also required. To obtain positive results, we presented a sociopoliti- cal model (which is the same as the market model). The results, if any, must be confirmed by the test of reflective equilibrium. That is, how well this perspective articulates our more considered convictions of political justice at all levels of ge- nerality after due examination once all adjustments and revisions that seem compelling have been made ([5], p. 28). We trust that our conclusion in the pre- ceding section passed this test.
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A simple decision market model

A simple decision market model

Our main theoretical contribution to the prediction market literature, made easy by our choice of mathematical nomenclature, is placed in Appendix 1. The body of this paper then provides a narrative account of the ‘big ideas’ behind our mathematical formalism. This is done in an attempt to maximize the accessibility of our work to the broader readership; it also offers transparency and completeness by including the details of our work in the appendix. Section 2 reviews the related literature concerning theoretical information markets with an emphasis on decision markets. Section 3 reviews a generally accepted prediction market model that is modified to formulate the key results of this paper. Section 4 introduces the concept of “proper market price” underpinning the definition of “proper information market”. The notion of “relevant information” is also introduced. Theorems 1 and 2 find that “all agents express relevant information” is a sufficient and necessary condition for convergence to the best possible prediction in a proper information (prediction) market. Our new prediction market model is extended in theorem 3 to a context with multiple stocks. With the multiple stocks context in hand our simple decision market model is developed via theorems 4 to 7. Section 5 discusses our findings and section 6 concludes with suggested future research.
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Role of refuge on dynamics of prey-predator model with infected prey

Role of refuge on dynamics of prey-predator model with infected prey

Biological Background: Refugia can influence population dynamics to great extent. Ecological effects of refuges can be seen in Coral reefs. Nearly 25 percent of ocean species is contained in refuge-rich coral reefs. In order to minimize their chances of being caught by predator, many prey animals systematically migrate between refuges and predator-rich feeding grounds, for example, small European perch exhibit a daily horizontal migration in some lakes in Finland. They move away from the vegetated areas, into more turbid open water areas, during the day as predation threat in the clear water is great, moving back at night because of the greater availability of zooplankton among the aquatic plants. Keeping in view the above points we develop our model in the next section.
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Challenges and Opportunities in using Analytics Combined with Visualisation Techniques for Finding Anomalies in Digital Communications

Challenges and Opportunities in using Analytics Combined with Visualisation Techniques for Finding Anomalies in Digital Communications

Visualisation tools enable legal teams to create an index of search terms, visually review the documents/data containing those terms, and determine quickly whether those terms are of relevance. Also, visualisation tools help analysts see a visual representation of relationships between subject parties and the people they communicate with via E-mail or social media or interpersonal communication systems. These kind of reviews and analyses hold the potential to provide significant new opportunities for attorneys in law firms and in corporate legal departments. The visualisation tools currently available on the market are based on simple keyword searches. Legal firms mainly charge companies based on the volume of information involved in the keyword search, the output of which is then manually reviewed intensely for relevance and privilege [4]. The recent review report by the UK Home Office [4] states, there are no E-discovery tools that have the ability to display temporal or spatial information in an innovative way. But for E-discovery compliance, experts regularly need to investigate “samples of emails”, and it is important for them to select a representative sample (or, alternatively, an interesting one containing anomalies or sensitivities however defined). How- ever in a data context such as email (one that is multi-modal and dynamic), the definition of “interesting” is vague and the information obtained is multi-faceted. Hence there is a need for visualisation- empowered solutions to support the analysts with this particular task.
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A simple IP flow blocking model

A simple IP flow blocking model

The contributions of this paper are threefold: Firstly, practical performance parameters for flow based networking are defined; secondly, a mathematical model is presented which allows blocking probability calculations for flows; and thirdly, network flow simulation results are given for the proposed model. The paper is organised as follows: Section 2 introduces the SAPOR scheme to show the reader the practical background for the model, and Section 3 discusses performance parameters for flow based networking. The model is developed in Section 4 and the simulation results are given in Section 5. The paper concludes with remarks on the problem.
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Dynamic model of a simple supported RC rectangular plate for spreadsheet application - Part II: Motion in elasto-plastic domain

Dynamic model of a simple supported RC rectangular plate for spreadsheet application - Part II: Motion in elasto-plastic domain

This paper deals with the modeling of the dynamic behavior of a rectangular reinforced concrete slab, which is simply supported and submitted to a variable loading. It complements the part I [Rambach, 2009] paper that was restricted to the elastic domain: in this paper an elasto-plastic law is introduced. The proposed yield limit for the elastic domain is of Johansen’s type with a little adaptation in order to be locally and globally consistent and in order to get a yielding surface without singularities, as “smooth” as possible. The classical method of plastic correction by cutting plane is presented and adapted to the spreadsheet code possibilities, for static case then for dynamic case. An application is proposed in order to demonstrate the efficiency of the method.
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Simple Fusion: Return of the Language Model

Simple Fusion: Return of the Language Model

An early attempt to use LMs for NMT, also known as shallow fusion, combines LM and NMT scores at inference time in a log-linear model (Gulcehre et al., 2015, 2017). In contrast, we integrate the LM scores during NMT train- ing. Our training procedure first trains an LM on a large monolingual corpus. We then hold the LM fixed and train the NMT system to optimize the combined score of LM and NMT on the parallel training set. This allows the NMT model to fo- cus on modeling the source sentence, while the LM handles the generation based on the target- side history. Sriram et al. (2017) explored a simi- lar idea for speech recognition using a gating net- work for controlling the relative contribution of the LM. We show that our simpler architecture without an explicit control mechanism is effective for machine translation. We observe gains of up to more than 2 BLEU points from adding the LM to TM training. We also show that our method can be combined with backtranslation (Sennrich et al., 2016a), yielding further gains over systems with- out LM.
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Recognition of Noisy Speech: A Comparative Survey of Robust Model Architecture and Feature Enhancement

Recognition of Noisy Speech: A Comparative Survey of Robust Model Architecture and Feature Enhancement

2.4. Architecture for Speech Modelling. The most popular model architecture to represent speech characteristics in automatic speech recognition is Hidden Markov Models [11]. Apart from optimising the principle of auditory modelling and the methods for speech enhancement, finding alternative model architecture that applies Dynamic Bayesian Network structures which di ff er from the statistic assump- tions of HMM modelling is an active area of research and a promising approach to improve noise robustness [12, 14, 41]. Generative models like the Hidden Markov Model are restricted in a way that they assume that the speech feature observations are conditionally independent. This can be considered as drawback as the restriction ignores long-range dependencies between observations. On the contrary, the Conditional Random Fields (CRFs) introduced in [42] use an exponential distribution to model a sequence, given the observation sequence. In order to estimate the conditional probability of a class for an entire sequence, the Hidden Conditional Random Field [12] incorporates hidden state sequences.
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A simple model of homophily in social networks

A simple model of homophily in social networks

While homophily is a complex and multifaceted phenomenon, we believe that our model high- lights a very basic force underlying homophily that future analysis of the phenomenon may take into account. Our extremely stylized model does not contain explicit elements of preferences, and homophily is built in through the (fixed) cost of outbreeding. A more realistic model allowing for preferences would contain additional interesting features, that we plan to integrate in the present framework in future research. In fact, in the presence of preferences in favour of in-group contacts, groups accounting for a small share of the population may face strong incentives to inbreed in order to avoid mixes of realized contacts dominated by the out-group. Other issues that future research should address include the consideration of flexible individual characteristics. In many social con- texts, these characteristics (language, religion, etc.) are not forever fixed in individuals and their descendants but can be changed through inter- action which may possibly mitigate differences, but also exacerbate them in some other cases. In this sense, cross-ties among different types could breed convergence of characteristics (and thus integration), or possibly the opposite. In general, one might anticipate that interesting nonlinear dynamics may arise under some circumstances. To understand better such interplay between in- teraction/segmentation on the one hand and ho- mogenization/polarization on the other, seems a crucial issue for future theoretical and empirical research.
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Vol 9, No 4 (2018)

Vol 9, No 4 (2018)

In Solow growth model these assumptions has dropped while formulating its models of long - run growth. It shows that by the introduces of the factors influencing economic growth, the instability of Harrod Domar’s model can be reduced to some limit. The Solow growth model represent that if technical co-efficient of production one assumed to be variable , the capital labour ratio may adjust itself to stability ratio with respect to time.[1] [2] [3] [4] [5]

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New Topologies Of Kalman Filters For Dynamic Power System Estimation

New Topologies Of Kalman Filters For Dynamic Power System Estimation

The  vector  consisting  of  bus  voltage  magnitudes  and  phase  angles  is  called  the  state  of  an  electric  power  system.  The  concept  of  state  estimation  was  introduced  into  the  field  of  power systems in 1947 (Schweppe, 1968; Schweppe, 1970 and  Schweppe, 1970). Estimation of the dynamic state of a power  system  is  the  first  prerequisite  for  control  and  stability  prediction  under  transient  conditions  (Miller,  1971).  The  inputs  from  static  estimation  are  necessary  for  many  applications  like  Automatic  Generation  Control  (Saxena,  2012),  contingency  (Soni,  2016),  and  Voltage  stability  assessment  (Akash  Saxena  and  Ankit  Kumar  Sharma,  2016).  The great importance of the 'Dynamic State Estimation (DSE)'  in system monitoring and control of power systems, especially  with  the  introduction  of  Phasor  Measurement  Units  (PMUs)  (Jain  and  Shivakumar,  2008;  Xue  et  al.,  2007;  Jain  and  N.  Shivakumar, 2008; Shivakumar and A. Jain, 2008 and Jain and  N. R. Shivakumar, 2009). A dynamic state estimator for power  system  networks  is  firstly  addressed  by  Debs  and  Larson  (Debs, 1970). In this  work, the state change is represented by  Gaussian  noise.  Then,  a  novel  method  for  detecting  and  ascertaining anomalies as the occurrence of bad-data, changes  in network configuration and sudden variation of states, in    
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On observational variance learning for multivariate Bayesian time series and related models

On observational variance learning for multivariate Bayesian time series and related models

[51] is a comprehensive account of dynamic models and covers areas such as univariate DLMs dynamic linear models, model design, intervention and monitoring, dynamic regression, model irr[r]

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