Academic literature on the topic 'Models for competing specie'

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Journal articles on the topic "Models for competing specie"

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A. Saenz, Roberto, and Herbert W. Hethcote. "Competing species models with an infectious disease." Mathematical Biosciences and Engineering 3, no. 1 (2006): 219–35. http://dx.doi.org/10.3934/mbe.2006.3.219.

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Pereira, T. A., J. Menezes, and L. Losano. "Interface networks in models of competing species." International Journal of Modeling, Simulation, and Scientific Computing 09, no. 05 (2018): 1850046. http://dx.doi.org/10.1142/s1793962318500460.

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We study a subclass of the May–Leonard stochastic model with an arbitrary, even number of species, leading to the rise of two competing partnerships where individuals are indistinguishable. By carrying out a series of accurate numerical stochastic simulations, we show that alliances compete each other forming spatial domains bounded by interfaces of empty sites. We solve numerically the mean field equations associated with the stochastic model in one and two spatial dimensions. We demonstrate that the stationary interface profile presents topological properties which are related to the asympto
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Sumner, Suzanne. "Hopf bifurcation in pioneer-climax competing species models." Mathematical Biosciences 137, no. 1 (1996): 1–24. http://dx.doi.org/10.1016/s0025-5564(96)00065-x.

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Szabó, György. "Competing associations in six-species predator–prey models." Journal of Physics A: Mathematical and General 38, no. 30 (2005): 6689–702. http://dx.doi.org/10.1088/0305-4470/38/30/005.

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Xu, Benlong, and Zhenzhang Ni. "Permanence of Diffusive Models for Three Competing Species in Heterogeneous Environments." Abstract and Applied Analysis 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/376919.

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We address the question of the long-term coexistence of three competing species whose dynamics are governed by the partial differential equations. We obtain criteria for permanent coexistence in a Lotka-Volterra system modeling the interaction of three competing species in a bounded habitat whose exterior is lethal to each species. It is also proved that if the intercompeting strength is very weak, the system is always permanent, provided that each single one of the three species can survive in the absence of the two other species.
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Mwalusepo, Sizah, Henri E. Z. Tonnang, Estomih S. Massawe, Tino Johansson, and Bruno Pierre Le Ru. "Stability Analysis of Competing Insect Species for a Single Resource." Journal of Applied Mathematics 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/285350.

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The models explore the effects of resource and temperature on competition between insect species. A system of differential equations is proposed and analysed qualitatively using stability theory. A local study of the models is performed around axial, planar, and interior equilibrium points to successively estimate the effect of (i) one species interacting with a resource, (ii) two competing species for a single resource, and (iii) three competing species for a single resource. The local stability analysis of the equilibrium is discussed using Routh-Hurwitz criteria. Numerical simulation of the
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Lopez-Gomez, Julian, and Jose C. Sabina De Lis. "Coexistence States and Global Attractivity for Some Convective Diffusive Competing Species Models." Transactions of the American Mathematical Society 347, no. 10 (1995): 3797. http://dx.doi.org/10.2307/2155205.

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López-Gómez, Julián, and José C. Sabina de Lis. "Coexistence states and global attractivity for some convective diffusive competing species models." Transactions of the American Mathematical Society 347, no. 10 (1995): 3797–833. http://dx.doi.org/10.1090/s0002-9947-1995-1311910-8.

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Sumner, Suzanne. "STABLE PERIODIC BEHAVIOR IN PIONEER-CLIMAX COMPETING SPECIES MODELS WITH CONSTANT RATE FORCING." Natural Resource Modeling 11, no. 2 (1998): 155–71. http://dx.doi.org/10.1111/j.1939-7445.1998.tb00306.x.

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Dancer, E. N. "On the existence and uniqueness of positive solutions for competing species models with diffusion." Transactions of the American Mathematical Society 326, no. 2 (1991): 829–59. http://dx.doi.org/10.1090/s0002-9947-1991-1028757-9.

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Dissertations / Theses on the topic "Models for competing specie"

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Van, der Hoff Q., JC Greeff, and TH Fay. "Defining a stability boundary for three species competition models." Elsevier, 2008. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1001763.

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a b s t r a c t A periodic steady state is a familiar phenomenon in many areas of theoretical biology and provides a satisfying explanation for those animal communities in which populations are observed to oscillate in a reproducible periodic manner. In this paper we explore models of three competing species described by symmetric and asymmetric May–Leonard models, and specifically investigate criteria for the existence of periodic steady states for an adapted May–Leonard model: x˙ = r(1 − x − ˛y − ˇz)x y˙ = (1 − ˇx − y − ˛z)y z˙ = (1 − ˛x − ˇy − z)z. Using the Routh–Hurwitz conditions, six in
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AFFILI, ELISA. "EVOLUTION EQUATIONS WITH APPLICATIONS TO POPULATION DYNAMICS." Doctoral thesis, Università degli Studi di Milano, 2021. http://hdl.handle.net/2434/820854.

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The main topic of this thesis is the analysis of evolution equations reflecting issues in ecology and population dynamics. In mathematical modelling, the impact of environmental elements and the interaction between species is read into the role of heterogeneity in equations and interactions in coupled systems. In this direction, we investigate three separate problems, each corresponding to a chapter of this thesis. The first problem addresses the evolution of a single population living in a periodic medium with a fast diffusion line; this corresponds to the study of a reaction-diffusion system
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Micheletti, Cristian. "Models with competing interactions." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318919.

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Edmunds, Jeffrey. "A study of a stage-structured model of two competing species." Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/289978.

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The purpose of this dissertation is to develop and study a competition model which, being capable of a wide range of population dynamics, will exhibit phenomena in multi-species interactions not seen in simpler models. We consider a structured, non-linear model of two competing species, each having three life stages. This model is based on a single-species model that has been used to demonstrate many interesting effects in population dynamics and, in particular, has been highly successful in describing and predicting the dynamics of insect populations in controlled laboratory experiments, A th
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Bush, Larry Dean. "Special education teachers and work stress exploring the competing interests model /." Pullman, Wash. : Washington State University, 2010. http://www.dissertations.wsu.edu/Dissertations/Spring2010/l_bush_050210.pdf.

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McKinney, Arlise P. "Goal Orientation: A test of competing models." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/11074.

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This research examined the validity of the 2-factor (e.g., Button, Mathieu, and Zajac, 1996) and 3-factor (e.g., VandeWalle, 1997) models of goal orientation. These models differ in specifying the dimensionality, measurement, and nomological network for learning goal orientation and performance goal orientation constructs. This study specifically tested the factorial and nomological validity of each model of goal orientation. The factorial validity was examined through a series of nested models and evaluating model fit parameters. The nomological validity of goal orientation was examined testi
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Orenti, A. "SURVIVAL ANALYSIS AND REGRESSION MODELS IN THE PRESENCE OF COMPETING AND SEMI-COMPETING RISKS." Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/253327.

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Evaluation of a therapeutic strategy is complex when the course of a disease is characterized by the occurrence of different kinds of events. Competing risks arise when the occurrence of specific events prevents the observation of other events. Different survival or incidence functions can be defined in the presence of competing risks and a relevant issue is an adequate knowledge of the methodological background in order to apply a suitable statistical analysis for the study aims. This work aims at presenting different estimates of survival or incidence probabilities used in this framework. Fr
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Masuadi, E. "Non-parametric competing risks with multivariate frailty models." Thesis, Oxford Brookes University, 2013. http://radar.brookes.ac.uk/radar/items/e828e4da-de08-2f34-37b0-8cc3bbaf7150/1.

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This research focuses on two theories: (i) competing risks and (ii) random eect (frailty) models. The theory of competing risks provides a structure for inference in problems where cases are subject to several types of failure. Random eects in competing risk models consist of two underlying distributions: the conditional distribution of the response variables, given the random eect, depending on the explanatory variables each with a failure type specic random eect; and the distribution of the random eect. In this situation, the distribution of interest is the unconditional distribution of the
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Cortese, Giuliana. "Dynamic models for competing risks and relative survival." Doctoral thesis, Università degli studi di Padova, 2008. http://hdl.handle.net/11577/3427193.

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The thesis concerns regression models related to the competing risks setting in survival analysis and deals with both the case of known specific causes and the case of unknown (even if present) specific causes of the event of interest. In the first part, dealing with events whose specific cause is known, competing risks modelling has been applied to a breast cancer study and some of the dynamic aspects such as time-dependent variables are tackled within the context of the application. The aim of the application was to detect an optimal chemotherapy dosage for different typologies of patie
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Lin, Yushun. "PARAMETRIC ESTIMATION IN COMPETING RISKS AND MULTI-STATE MODELS." UKnowledge, 2011. http://uknowledge.uky.edu/statistics_etds/1.

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The typical research of Alzheimer's disease includes a series of cognitive states. Multi-state models are often used to describe the history of disease evolvement. Competing risks models are a sub-category of multi-state models with one starting state and several absorbing states. Analyses for competing risks data in medical papers frequently assume independent risks and evaluate covariate effects on these events by modeling distinct proportional hazards regression models for each event. Jeong and Fine (2007) proposed a parametric proportional sub-distribution hazard (SH) model for cumulative
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Books on the topic "Models for competing specie"

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Nedergaard Thomsen, Ole, ed. Competing Models of Linguistic Change. John Benjamins Publishing Company, 2006. http://dx.doi.org/10.1075/cilt.279.

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Beyersmann, Jan, Arthur Allignol, and Martin Schumacher. Competing Risks and Multistate Models with R. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-2035-4.

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Arthur, Allignol, Schumacher Martin, and SpringerLink (Online service), eds. Competing Risks and Multistate Models with R. Springer Science+Business Media, LLC, 2012.

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H, Lorenz Edward, and Lundvall Bengt-Åke 1941-, eds. How Europe's economies learn: Coordinating competing models. Oxford University Press, 2006.

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Brown, William O. Competing with the NYSE. National Bureau of Economic Research, 2006.

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Han, Aaron K. Semiparametric estimation of duration and competing risk models. Dept. of Economics, Massachusetts Institute of Technology, 1987.

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Pudney, Stephen. Specification tests for independent competing risks duration models. University of Cambridge, Department of Applied Economics, 1993.

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Bera, Anil K. Arch and bilinearity as competing models for nonlinear dependence. University of Illinois at Urbana-Champaign, 1993.

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Neal, Arthur G. Sociological perspectives on modernity: Multiple models and competing realities. Lang, 2008.

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Forstner, Helmut. Competing in a Global Economy. Taylor & Francis Group Plc, 2004.

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Book chapters on the topic "Models for competing specie"

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Galler, Heinz P. "Competing Risks and Unobserved Heterogeneity, with Special Reference to Dynamic Microsimulation Models." In Household Demography and Household Modeling. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-5424-7_9.

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Pintilie, Melania. "Competing Risk Models." In Health Services Evaluation. Springer US, 2019. http://dx.doi.org/10.1007/978-1-4939-8715-3_30.

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Tutz, Gerhard, and Matthias Schmid. "Competing Risks Models." In Springer Series in Statistics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28158-2_8.

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Broström, Göran. "Competing Risks Models." In Event History Analysis with R, 2nd ed. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9780429503764-11.

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Hougaard, Philip. "Competing risks models." In Statistics for Biology and Health. Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1304-8_12.

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Pintilie, Melania. "Competing Risk Models." In Health Services Research. Springer US, 2017. http://dx.doi.org/10.1007/978-1-4939-6704-9_2-1.

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Ha, Il Do, Jong-Hyeon Jeong, and Youngjo Lee. "Competing Risks Frailty Models." In Statistics for Biology and Health. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6557-6_6.

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Alznauer, Michael. "Competing Models of Success." In Management for Professionals. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-45111-3_10.

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Graves, Samuel B., Jeffrey L. Ringuest, and Andrés L. Medaglia. "Evaluating Competing Investments." In Models & Methods for Project Selection. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0280-7_2.

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Brett, E. A. "Competing Models and Developmental Transitions." In Reconstructing Development Theory. Macmillan Education UK, 2009. http://dx.doi.org/10.1007/978-1-137-05768-6_10.

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Conference papers on the topic "Models for competing specie"

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Venkateswaran, Sai P., Andre Desjarlais, Som Shrestha, and Tim Bieri. "Use of Hygrothermal Models for Understanding Water Transport in Corrosion under Insulation Applications." In CORROSION 2019. NACE International, 2019. https://doi.org/10.5006/c2019-13484.

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Abstract Thermal insulation is used in operating facilities to conserve heat and protect against freezing amongst others. A consequence of insulating the equipment is the necessity to manage the introduced threat of corrosion under insulation (CUI). For CUI to occur, water and oxygen must enter and migrate through the insulation to reach the external surface of the equipment. The water transport characteristics are dependent on several factors such as type of insulation, type of jacketing, equipment operating temperature, external weather, water entry/leakage rate and cyclic service. In hot pi
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Wofford, George N. "Engineering Economic Analysis for Alternative Cooling Tower Treatment Programs." In CORROSION 1994. NACE International, 1994. https://doi.org/10.5006/c1994-94473.

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Abstract A standard method for evaluating the economics of proposed changes to a cooling tower water treatment program is presented. Mathematical comparisons of competing alternatives are calculated. This means that two or more mutually exclusive approaches, such as the total cost of two competitive chemical programs or a chemical program and stand-alone ozone treatment are compared. In addition, models are presented to evaluate the economics of employing auxiliary equipment such as pH controllers, filtration equipment, and softeners. The economic evaluation utilizes standard engineering calcu
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Chen, Di, Yexiang Xue, Daniel Fink, Shuo Chen, and Carla P. Gomes. "Deep Multi-species Embedding." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/509.

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Understanding how species are distributed across landscapes over time is a fundamental question in biodiversity research. Unfortunately, most species distribution models only target a single species at a time, despite strong ecological evidence that species are not independently distributed. We propose Deep Multi-Species Embedding (DMSE), which jointly embeds vectors corresponding to multiple species as well as vectors representing environmental covariates into a common high-dimensional feature space via a deep neural network. Applied to bird observational data from the citizen science project
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Zhang, Yu, and Mitchell Bucklew. "Max Markov Chain." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/639.

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In this paper, we introduce Max Markov Chain (MMC), a novel model for sequential data with sparse correlations among the state variables. It may also be viewed as a special class of approximate models for High-order Markov Chains (HMCs). MMC is desirable for domains where the sparse correlations are long-term and vary in their temporal stretches. Although generally intractable, parameter optimization for MMC can be solved analytically. However, based on this result, we derive an approximate solution that is highly efficient empirically. When compared with HMC and approximate HMC models, MMC co
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Anderl, Reiner, Thomas Rollmann, Zhenyu Wu, and Youssef Chahadi. "Algorithm-Based Product Development: Refined Concepts and Example Applications." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49778.

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Today’s industry faces the competing pressures of having to develop more and more innovative concepts at less cost. One possibility of supporting these rivaling tasks is leaving the idea of traditional product development and introducing an algorithm-based product development paradigm. By this approach it will be possible to quickly generate a large number of possible solutions based on the future product’s primary specifications and requirements. The result of this process is a set of discrete CAD models for each possible solution, from which the designer can select the most suitable one for
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Zhang, Huayong, Tousheng Huang, and Liming Dai. "Two New Competition Indexes on the Basis of Lotka-Volterra Competition Model." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-63250.

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In this research, two competition indexes, competing capacity and competing tensor, are brought forward to better understand the interspecific competition between species. With the employment of the two indexes, the competitive process in Lotka-Volterra model can be described much clearly. The strength of competition for a species is divided into three competition grades according to the competing tensor. In the interspecific competition, when two species are in different competition grades, the weak species will be excluded; when two species are in the same grade, the coexistent equilibrium w
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Khichar, Mayank, Romir Moza, and Supreet Singh Bahga. "Effect of Surface Conduction on Propagation of Ion-Concentration Shock Waves in Isotachophoresis." In ASME 2015 13th International Conference on Nanochannels, Microchannels, and Minichannels collocated with the ASME 2015 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/icnmm2015-48089.

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Isotachophoresis (ITP) is a widely used nonlinear electrophoretic technique for preconcentration and separation of ionic species. Typically, ITP is performed in microchannels where the effect of surface conduction due to electric double layer (EDL) at channel walls is negligible compared to bulk conduction. However, when electrophoretic techniques such as ITP are integrated in nanochannels or shallow microchannels, surface conduction can alter bulk electrophoretic transport. The existing mathematical models for multispecies electrophoretic transport do not account for the competing effects of
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Ouyang, Linshu, Yongzheng Zhang, Hui Liu, Yige Chen, and Yipeng Wang. "Gated POS-Level Language Model for Authorship Verification." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/557.

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Authorship verification is an important problem that has many applications. The state-of-the-art deep authorship verification methods typically leverage character-level language models to encode author-specific writing styles. However, they often fail to capture syntactic level patterns, leading to sub-optimal accuracy in cross-topic scenarios. Also, due to imperfect cross-author parameter sharing, it's difficult for them to distinguish author-specific writing style from common patterns, leading to data-inefficient learning. This paper introduces a novel POS-level (Part of Speech) gated RNN ba
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Wang, Wendai, and Mingxiao Jiang. "Competing failure or mixed failure models." In 2014 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2014. http://dx.doi.org/10.1109/rams.2014.6798472.

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Lindqvist, Bo H. "Phase-Type Models for Competing Risks." In 2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO). IEEE, 2016. http://dx.doi.org/10.1109/smrlo.2016.17.

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Reports on the topic "Models for competing specie"

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Lewbel, Arthur, and Sokbae (Simon) Lee. Nonparametric identification of accelerated failure time competing risks models. Institute for Fiscal Studies, 2010. http://dx.doi.org/10.1920/wp.cem.2010.1410.

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Keane, Patrick M. Affirmative Action: A Synthesis of Competing Distributive and Compensatory Models. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada270811.

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Honore, Bo, and Adriana Lleras Muney. Bounds in Competing Risks Models and the War on Cancer. National Bureau of Economic Research, 2004. http://dx.doi.org/10.3386/w10963.

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Finkelstein, Maxim S., and Veronica Esaulova. On asymptotic failure rates in bivariate frailty competing risks models. Max Planck Institute for Demographic Research, 2006. http://dx.doi.org/10.4054/mpidr-wp-2006-023.

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Leigh, Andrew, and Justin Wolfers. Competing Approaches to Forecasting Elections: Economic Models, Opinion Polling and Prediction Markets. National Bureau of Economic Research, 2006. http://dx.doi.org/10.3386/w12053.

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Annis, Charles. Nondestructive Evaluation (NDE) Technology Initiatives (NTIP). Delivery Order 0039: Statistical Comparison of Competing Material Models. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada415275.

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Card, David, Raj Chetty, and Andrea Weber. Cash-on-Hand and Competing Models of Intertemporal Behavior: New Evidence from the Labor Market. National Bureau of Economic Research, 2006. http://dx.doi.org/10.3386/w12639.

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Lang, Kevin. The Effect of the Payroll Tax on Earnings: A Test of Competing Models of Wage Determination. National Bureau of Economic Research, 2003. http://dx.doi.org/10.3386/w9537.

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Or, Dani, Shmulik Friedman, and Jeanette Norton. Physical processes affecting microbial habitats and activity in unsaturated agricultural soils. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7587239.bard.

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experimental methods for quantifying effects of water content and other dynamic environmental factors on bacterial growth in partially-saturated soils. Towards this end we reviewed critically the relevant scientific literature and performed theoretical and experimental studies of bacterial growth and activity in modeled, idealized and real unsaturated soils. The natural wetting-drying cycles common to agricultural soils affect water content and liquid organization resulting in fragmentation of aquatic habitats and limit hydraulic connections. Consequently, substrate diffusion pathways to soil
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Fife, Dustin. Simplistics: An Intuitive Graphical Approach to Statistics. Instats Inc., 2023. http://dx.doi.org/10.61700/d47gzlztthikk469.

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This hands-on course explores statistics from a fresh, intuitive perspective and supports R, JASP, and Jamovi, with an easy to use and understand graphical approach to statistical analysis. Rather than focusing on decisions about the appropriate 'test' or using p-values and arbitrary 'significance' cutoffs, this seminar will teach you to build models and use them to interpret data directly. With these models, you will learn how to generate and interpret model visualizations and effect sizes in an intuitive manner, as well as building, evaluating, and testing competing models. The net result wi
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