Browsing
     by title


0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

or enter first few letters:   
OK
See detailModeling default correlation in a US retail loan portfolio
Pisa, Magdalena UL

Presentation (2012)

Detailed reference viewed: 38 (10 UL)
See detailModeling default correlation in a US retail loan portfolio
Pisa, Magdalena UL

Presentation (2012)

Detailed reference viewed: 13 (6 UL)
Full Text
Peer Reviewed
See detailModeling default correlation in a US retail loan portfolio
Pisa, Magdalena UL; Wolff, Christian UL; Bams, Dennis

E-print/Working paper (2012)

Detailed reference viewed: 56 (1 UL)
Full Text
See detailModeling default correlation in a US retail loan portfolio
Pisa, Magdalena UL

Poster (2013)

Detailed reference viewed: 30 (6 UL)
See detailModeling default correlation in a US retail loan portfolio
Pisa, Magdalena UL

Presentation (2012)

Detailed reference viewed: 24 (10 UL)
See detailModeling default correlation in a US retail loan portfolio
Pisa, Magdalena UL

Presentation (2013)

Detailed reference viewed: 37 (10 UL)
See detailModeling default correlation in a US retail loan portfolio
Pisa, Magdalena UL

Presentation (2013)

Detailed reference viewed: 26 (7 UL)
See detailModeling default correlation in a US retail loan portfolio
Pisa, Magdalena UL

Presentation (2013)

Detailed reference viewed: 33 (8 UL)
See detailModeling default correlation in a US retail loan portfolio
Pisa, Magdalena UL

Presentation (2012)

Detailed reference viewed: 17 (6 UL)
Peer Reviewed
See detailModeling environmental loading effects, Invited, Proceedings EGGS, Ed. H.-P. Plag and S. Zerbini
van Dam, Tonie UL; Wahr, John

in Physics and chemistry of the earth (1998), 23

Temporal variations in the geographic distribution of atmospheric, hydrologic and oceanic mass load and deform the surface of the Earth. In many instances, the deformation is large enough to be detected ... [more ▼]

Temporal variations in the geographic distribution of atmospheric, hydrologic and oceanic mass load and deform the surface of the Earth. In many instances, the deformation is large enough to be detected with space based geodetic techniques as well as with terrestrial gravity observations. For example, atmospheric loading induced crustal deformations on the order of 20 mm are possible at high latitudes with accompanying changes in gravity of 6 μGals. Non-tidal ocean loading effects can typically cause 5 mm (2 mm root-mean-square, RMS) in vertical positioning at coastal geodetic sites with displacements of up to 10 mm possible. Deformation associated gravity changes are usually on the order of 2-3 μGals, however peak-to-peak changes of 5 μGals are also predicted. The effects of regional ground water variations on geodetic measurements are less well known. Model results indicate that annual changes in gravity and vertical positioning can be as large as 2 μGals and 5 mm for sites where there is significant annual snowfall. We present a review of work done to date to address these issues. [less ▲]

Detailed reference viewed: 58 (1 UL)
Peer Reviewed
See detailModeling Exception Handling: a UML2.0 Platform Independent Profile for CAA
Capozucca, Alfredo UL; Gallina, Barbara UL; Guelfi, Nicolas UL et al

in Proceedings of ECOOP 2005 Workshop on Exception Handling in Object Oriented Systems (2005, July)

Complex fault-tolerant distributed systems have a growing need of new functional and quality requirements. An immediate consequence of this is an increasing need of new methods for developing complex ... [more ▼]

Complex fault-tolerant distributed systems have a growing need of new functional and quality requirements. An immediate consequence of this is an increasing need of new methods for developing complex fault-tolerant distributed applications. Coordinated Atomic Actions (CAAs), making use of exception handling mechanism, offer an approach to ensure the needed requirements of reliability, availability and fault tolerance. Unfortunately, there is currently no method for the high-level modeling of such systems. In this paper, in order to offer an instrument for modeling exception handling, we propose a UML2.0 Platform Independent Profile for CAAs that allows designers to describe complex systems separating the specification from the implementation on a specific technology platform. [less ▲]

Detailed reference viewed: 93 (1 UL)
Full Text
Peer Reviewed
See detailModeling heterogeneity in the pluripotent state: A promising strategy for improving the efficiency and fidelity of stem cell differentiation
Espinosa Angarica, Vladimir UL; del Sol Mesa, Antonio UL

in BioEssays (2016), 38(8),

Pluripotency can be considered a functional characteristic of pluripotent stem cells (PSCs) populations and their niches, rather than a property of individual cells. In this view, individual cells within ... [more ▼]

Pluripotency can be considered a functional characteristic of pluripotent stem cells (PSCs) populations and their niches, rather than a property of individual cells. In this view, individual cells within the population independently adopt a variety of different expression states, maintained by different signaling, transcriptional, and epigenetics regulatory networks. In this review, we propose that generation of integrative network models from single cell data will be essential for getting a better understanding of the regulation of self-renewal and differentiation. In particular, we suggest that the identification of network stability determinants in these integrative models will provide important insights into the mechanisms mediating the transduction of signals from the niche, and how these signals can trigger differentiation. In this regard, the differential use of these stability determinants in subpopulation-specific regulatory networks would mediate differentiation into different cell fates. We suggest that this approach could offer a promising avenue for the development of novel strategies for increasing the efficiency and fidelity of differentiation, which could have a strong impact on regenerative medicine [less ▲]

Detailed reference viewed: 183 (19 UL)
See detailMODELING HUMAN METABOLISM: A DYNAMIC MULTI-TISSUE APPROACH
Martins Conde, Patricia UL

Doctoral thesis (2019)

Despite significant advances in constraint-based modelling, a methodology for modelling dynamic multi-tissue models of human metabolism is still missing. Additionally, prior to analysing diseased models ... [more ▼]

Despite significant advances in constraint-based modelling, a methodology for modelling dynamic multi-tissue models of human metabolism is still missing. Additionally, prior to analysing diseased models, it is important to develop a good methodology, as it would not only enable us to capture the effects of metabolism-associated diseases, but it would also allow us to recapitulate known physiological healthy properties of human metabolism. Therefore, a dynamic multi-tissue model using a new methodology was developed. The objective function comprises a set of complex functions that the multi-tissue model needs to perform. To demonstrate the capabilities of this new approach, different healthy, and unhealthy conditions were simulated. In a first step, the effect of different healthy conditions was analysed (i.e. the fasting, the ingestion of different meals, and exercising at various intensities, and conditions), demonstrating the model’s capability to correctly predict metabolic changes occurring on energy-associated pathways. In the second step, biomarkers for a range of inborn errors of metabolism were predicted, and the predictions were shown to be in good agreement with previous data. Finally, after verifying the capability of the dynamic multi-tissue model to review known physiological aspects of human metabolism, this model was further integrated with a physiologically- based pharmacokinetic model of glucose metabolism, previously developed by Schaller et al. (2013). Contrasting conditions, such as healthy and diabetic, were simulated using the multi-scale model during fasting and after an oral glucose tolerance test and candidate drugs to treat type 2 diabetes mellitus were predicted. Five out of the 80 simulated drug targets were predicted as candidate anti-diabetic targets, and the majority of drugs known to inhibit the predicted drug targets, have already been shown to have anti-diabetic effects. The developed approach can be applied to any metabolic disease and to any system where homeostasis plays an important role, or where a simple biomass optimization function is not applicable. Furthermore, the large amount of data collected for the multi-tissue model generation is of significant value for tissue constraint-based metabolic modellers who need data to constrain their models. [less ▲]

Detailed reference viewed: 54 (16 UL)
Full Text
Peer Reviewed
See detailModeling in Support of Multi-Perspective Valuation of Smart Grid Initiatives
Kaczmarek-Heß, Monika; de Kinderen, Sybren; Ma, Qin UL et al

in IEEE 12th International Conference on Research Challenges in Information Science (2018)

Detailed reference viewed: 44 (0 UL)
Full Text
Peer Reviewed
See detailModeling inter/trans granular failure using an anisotropic phase field approach
Nguyen, Thanh Tung UL; Réthoré, Julien; Yvonnet, Julien et al

in Fifth International Conference on Computational Modeling of Fracture and Failure of Materials and Structures (2017)

Detailed reference viewed: 10 (0 UL)
Full Text
Peer Reviewed
See detailModeling metabolism of the human gut microbiome
Magnusdottir, Stefania UL; Thiele, Ines UL

in Current Opinion in Biotechnology (2018)

The human gut microbiome plays an important part in human health. The complexity of the microbiome makes it difficult to determine the detailed metabolic functions and cross-talk occurs between the ... [more ▼]

The human gut microbiome plays an important part in human health. The complexity of the microbiome makes it difficult to determine the detailed metabolic functions and cross-talk occurs between the individual species. In silico systems biology studies of the microbiome can help to identify metabolite exchanges among gut microbes. Constraint-based reconstruction and analysis methods use biochemically accurate genome-scale metabolic networks of microorganisms to simulate metabolism between species in a given microbiome and help generate novel hypotheses on microbial interactions. Here, we review metabolic modeling studies that have investigated metabolic functions of the gut microbiome. [less ▲]

Detailed reference viewed: 155 (5 UL)
Full Text
Peer Reviewed
See detailModeling Multiple Autonomous Robot Behaviors and Behavior Switching with a Single Reservoir Computing Network
Antonelo, Eric Aislan UL; Schrauwen, Benjamin; Stroobandt, Dirk

in Proceedings of the 2008 IEEE International Conference on Systems, Man and Cybernetics (2008)

Reservoir computing (RC) uses a randomly created Recurrent Neural Network as a reservoir of rich dynamics which projects the input to a high dimensional space. These projections are mapped to the desired ... [more ▼]

Reservoir computing (RC) uses a randomly created Recurrent Neural Network as a reservoir of rich dynamics which projects the input to a high dimensional space. These projections are mapped to the desired output using a linear output layer, which is the only part being trained by standard linear regression. In this work, RC is used for imitation learning of multiple behaviors which are generated by different controllers using an intelligent navigation system for mobile robots previously published in literature. Target seeking and exploration behaviors are conflicting behaviors which are modeled with a single RC network. The switching between the learned behaviors is implemented by an extra input which is able to change the dynamics of the reservoir, and in this way, change the behavior of the system. Experiments show the capabilities of Reservoir Computing for modeling multiple behaviors and behavior switching. [less ▲]

Detailed reference viewed: 41 (0 UL)
Full Text
Peer Reviewed
See detailModeling Nonreactive Molecule−Surface Systems on Experimentally Relevant Time and Length Scales: Dynamics and Conductance of Polyfluorene on Au(111)
Li, Zhi; Tkatchenko, Alexandre UL; Franco, Ignacio

in Journal of Physical Chemistry Letters (2018), 9

We propose a computationally efficient strategy to accurately model nonreactive molecule−surface interactions that adapts density functional theory calculations with the Tkatchenko−Scheffler scheme for ... [more ▼]

We propose a computationally efficient strategy to accurately model nonreactive molecule−surface interactions that adapts density functional theory calculations with the Tkatchenko−Scheffler scheme for van der Waals interactions into a simple classical force field. The resulting force field requires just two adjustable parameters per atom type that are needed to capture short-range and polarization interactions. The developed strategy allows for classical molecular dynamics simulation of molecules on surfaces with the accuracy of highlevel electronic structure methods but for system sizes (103 to 107 atoms) and timescales (picoseconds to microseconds) that go well beyond what can be achieved with first-principles methods. Parameters for H, sp2 C, and O on Au(111) are developed and employed to atomistically model experiments that measure the conductance of a single polyfluorene on Au(111) as a continuous function of its length. The simulations qualitatively capture both the gross and fine features of the observed conductance decay during initial junction elongation and lead to a revised atomistic understanding of the experiment. [less ▲]

Detailed reference viewed: 130 (0 UL)
Full Text
See detailModeling of a prestressed concrete bridge with 3D finite elements for structural health monitoring using model updating techniques
Schommer, Sebastian UL; Kebig, Tanja UL; Nguyen, Viet Ha UL et al

in ISMA2018 International Conference on Noise and Vibration Engineering (2018)

This paper presents a linear finite element model for a prestressed concrete beam, which was part of a real bridge. Static and dynamic tests were carried out and compared to the numerical simulation ... [more ▼]

This paper presents a linear finite element model for a prestressed concrete beam, which was part of a real bridge. Static and dynamic tests were carried out and compared to the numerical simulation responses. A solid finite element model was created including the prestressed concrete beam, permanent dead load, two additional live loads and a shaker. A well planned finite element model is very important for later detection and localization of damage. Therefore, a mapped mesh was used to define so-called ‘slices’, which enables describing stiffness changes, e.g. damage. The model validation was performed by comparing simulated results to measured responses in the healthy state of the beam. After validation of the reference model, it is possible to modify the bending stiffness along the longitudinal axis of the beam by modifying Young’s moduli of different slices to adapt for the effect of damage. [less ▲]

Detailed reference viewed: 67 (8 UL)
See detailModeling of Cellular Systems: Application in Stem Cell Research and Computational Disease Modeling
Ali, Muhammad UL; del Sol Mesa, Antonio UL

Book published by Springer International Publishing (2018)

The large-scale development of high-throughput sequencing technologies has allowed the generation of reliable omics data at different regulatory levels. Integrative computational models enable the ... [more ▼]

The large-scale development of high-throughput sequencing technologies has allowed the generation of reliable omics data at different regulatory levels. Integrative computational models enable the disentangling of a complex interplay between these interconnected levels of regulation by interpreting these large quantities of biomedical information in a systematic way. In the context of human diseases, network modeling of complex gene-gene interactions has been successfully used for understanding disease-related dysregulations and for predicting novel drug targets to revert the diseased phenotype. Furthermore, these computational network models have emerged as a promising tool to dissect the mechanisms of developmental processes such as cellular differentiation, transdifferentiation, and reprogramming. In this chapter, we provide an overview of recent advances in the field of computational modeling of cellular systems and known limitations. A particular attention is paid to highlight the impact of computational modeling on our understanding of stem cell biology and the complex multifactorial nature of human diseases and their treatment. [less ▲]

Detailed reference viewed: 59 (5 UL)