Now showing items 21-40 of 939

    • Restoring property of the Michelson-Sivashinsky equation 

      Trucchia A.; Pagnini G. (Combustion Science and Technology, 2019)
      In this paper we propose a derivation of the Michelson-Sivashinsky (MS) equation that is based on front propagation only, in opposition to the classical derivation based also on the flow field. Hence, the characteristics ...
    • Poisson excess relative risk models: New implementations and software 

      Higueras M.; Howes A. (SORT, 2019-03-01)
      Two new implementations for fitting Poisson excess relative risk methods are proposed for assumed simple models. This allows for estimation of the excess relative risk associated with a unique exposure, where the background ...
    • Machine learning framework for assessment of microbial factory performance 

      Oyetunde T.; Liu D.; Garcia-Martin H.; Tang Y.J. (Plos ONE, 2019-01-01)
      Metabolic models can estimate intrinsic product yields for microbial factories, but such frameworks struggle to predict cell performance (including product titer or rate) under suboptimal metabolism and complex bioprocess ...
    • Lessons from Two Design–Build–Test–Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning 

      Opgenorth P.; Costello Z.; Okada T.; Goyal G.; Chen Y.; Gin J.; Benites V.; de Raad M.; Northen TR.; Deng K.; Deutsch S.; Baidoo E.E.K.; Petzold CJ.; Hillson NJ.; Garcia-Martin H.; Beller HR. (ACS Synthetic Biology, 2019-01-01)
      The Design–Build–Test–Learn (DBTL) cycle, facilitated by exponentially improving capabilities in synthetic biology, is an increasingly adopted metabolic engineering framework that represents a more systematic and efficient ...
    • Mesoscopic modelling and simulation of espresso coffee extraction 

      Ellero M.; Navarini L. (Journal of Food Engineering, 2019)
      A mesoscopic model for the simulation of espresso extraction based on the Smoothed Particle Hydrodynamics method is presented. The model incorporates some essential features such as bimodal granulometry (fines-coarses) of ...
    • Reducing variability in the cost of energy of ocean energy arrays 

      Topper M.B.R; Nava V.; Collin A. J.; Bould D.; Ferri F.; Olson S. S.; Dallmann A. R.; Roberts J. D.; Ruiz-Minguela P.; Jeffrey H. F. (Renewable and Sustainable Energy Reviews, 2019-09)
      Variability in the predicted cost of energy of an ocean energy converter array is more substantial than for other forms of energy generation, due to the combined stochastic action of weather conditions and failures. If the ...
    • Glioma invasion and its interplay with the nervous tissue: a multiscale model 

      Conte M.; Gerardo-Giorda L.; Groppi M. (2019)
      A multiscale mathematical model for glioma cell migration and proliferation is proposed, taking into account a possible therapeutic approach. Starting with the description of processes taking place on the subcellular level, ...
    • SDE-driven modeling of phenotypically heterogeneous tumors: The influence of cancer cell stemness 

      Kroos J.M.; Stinner C.; Surulescu S.; Surulescu N. (Discrete and Continuous Dynamical Systems - Series B, 2019)
      We deduce cell population models describing the evolution of a tumor (possibly interacting with its environment of healthy cells) with the aid of differential equations. Thereby, different subpopulations of cancer cells ...
    • Perverse sheaves on semi-abelian varieties -- a survey of properties and applications 

      Liu Y.; Maxim L.; Wang B. (European Journal of Mathematics, 2019-05)
      We survey recent developments in the study of perverse sheaves on semi-abelian varieties. As concrete applications, we discuss various restrictions on the homotopy type of complex algebraic manifolds (expressed in terms ...
    • Anxiety and depressive symptoms are related to core symptoms, general helath outcome and medical comorbidities in eating disorders 

      Martin J.; Arostegui I.; Loroño A.; Padierna A.; Najera-Zuloaga J.; Quintana J.M. (European Eating Disorders Review, 2019-04)
      Objective: The goal of this study is to identify potential factors that have a significant effect on anxiety and depression of patients with eating disorders (ED) using the beta-binomial regression (BBR) approach on a broad ...
    • On the evaluation and selection of classifier learning algorithms with crowdsourced data 

      Urkullu A.; Perez A.; Calvo B. (Applied Soft Computing, 2019-02-16)
      In many current problems, the actual class of the instances, the ground truth, is unavail- able. Instead, with the intention of learning a model, the labels can be crowdsourced by harvesting them from different annotators. ...
    • Forward-in-Time Goal-Oriented Adaptivity 

      Muñoz-Matute J.; Pardo D.; Calo V.M.; Alberdi E. (International Journal for Numerical Methods in Engineering, 2019-03)
      In goal-oriented adaptive algorithms for partial differential equations, we adapt the finite element mesh in order to reduce the error of the solution in some quantity of interest. In time-dependent problems, this adaptive ...
    • On extension problem, trace hardy and Hardy’s inequalities for some fractional Laplacians 

      Boggarapu P.; Roncal L.; Thangavelu S. (Communications on pure and applied analysis, 2019-09)
      We obtain generalised trace Hardy inequalities for fractional powers of general operators given by sums of squares of vector fields. Such inequalities are derived by means of particular solutions of an extended equation ...
    • COPD classification models and mortality prediction capacity 

      Aramburu A.; Arostegui I.; Moraza J.; Barrio I.; Aburto M.; García-Loizaga A.; Uranga A.; Zabala T.; Quintana JM.; Esteban C. (International Journal of COPD, 2019)
      Our aim was to assess the impact of comorbidities on existing COPD prognosis scores. Patients and methods: A total of 543 patients with COPD (FEV1 < 80% and FEV1/ FVC <70%) were included between January 2003 and January ...
    • Predictors of one and two years’ mortality in patients with colon cancer: a prospective cohort study 

      Quintana JM.; González N.; Lazaro S.; Bare M.; Fernandez-de-Larrea N.; Redondo M.; Briones E.; Escobar A.; Sarasqueta C.; García-Gutierrez S.; Antón-Ladislao A.; Arostegui I. (Plos One, 2018)
      Tools to aid in the prognosis assessment of colon cancer patients in terms of risk of mortality are needed. Goals of this study are to develop and validate clinical prediction rules for 1-and 2-year mortality in these ...
    • On Lipschitz rigidity of complex analytic sets 

      Fernandes A.; Sampaio J. E. (The Journal of Geometric Analysis, 2019-02-26)
      We prove that any complex analytic set in $\mathbb{C}^n$ which is Lipschitz normally embedded at infinity and has tangent cone at infinity that is a linear subspace of $\mathbb{C}^n$ must be an affine linear subspace of ...
    • K-means for massive data 

      Capo M. (2019-04-30)
      The $K$-means algorithm is undoubtedly one of the most popular clustering analysis techniques, due to its easiness in the implementation, straightforward parallelizability and competitive computational complexity, when ...
    • Accessibility for Line-Cutting in Freeform Surfaces 

      van Sosin B.; Bartoň M.; Elber G. (Computer-Aided Design, 2019-04-26)
      Manufacturing techniques such as hot-wire cutting, wire-EDM, wire-saw cutting, and flank CNC machining all belong to a class of processes called line-cutting where the cutting tool moves tangentially along the reference ...
    • Early classification of time series using multi-objective optimization techniques 

      Mori U.; Mendiburu A.; Miranda I.M.; Lozano J.A. (Information Sciences, 2019-04-23)
      In early classification of time series the objective is to build models which are able to make class-predictions for time series as accurately and as early as possible, when only a part of the series is available. It is ...
    • Tissue drives lesion: computational evidence of interspecies variability in cardiac radiofrequency ablation 

      Petras A.; Leoni M.; Guerra J.M.; Jansson J.; Gerardo-Giorda L. (HE 10TH INTERNATIONAL CONFERENCE ON FUNCTIONAL IMAGING AND MODELING OF THE HEART, 2019)
      Radiofrequency catheter ablation (RFCA) is widely used for the treatment of various types of cardiac arrhythmias. Typically, the efficacy and the safety of the ablation protocols used in the clinics are derived from tests ...