Using OpenFOAM to aid the design of complex profile extrusion dies

[Extrat] Thermoplastic profiles are very attractive due to their inherent design freedom. However, the usual methodologies employed to design extrusion forming tools, based on experimental based trial–and–error procedures, are highly dependent on the designer’s experience and lead to high resources consumption. Despite of the relatively low cost of the raw materials employed on the production of this type of profiles, the resources involved in the die design process significantly increase their cost. These difficulties are even more evident when a complex geometry profile has to be produced and there is no previous experience with similar geometries. Therefore, novel design approaches are required, in order to reduce the required resources and guarantee a good performance for the produced profile. (...)

Post-divorce representations of marital negotiation during marriage predict parenting alliance in newly divorced parents

Literature demonstrates that marital and co-parenting subsystems are intercorrelated and have autonomous functions in the family system. This study explored representations of marital negotiation strategies for conflict resolution during marriage and parenting alliance relationship after divorce, using data from Portuguese newly divorced parents. In multiple regression analysis, representations of marital negotiation strategies for conflict resolution during marriage used by ex-spouses predict positive parenting alliance relationship after divorce. These results suggest that representations of pre-divorce marital relationship influence positively current interparental relationship regarding child rearing after marital dissolution. Implications for clinical interventions are also discussed.

In-line rheo-optical microstructural characterization of complex polymer systems

Tese de Doutoramento em Ciência e Engenharia de Polímeros e Compósitos.

Analysis of complex microwave structures using suitable computational electromagnetic techniques

Complex Microwave Structures Wake Field Computatation PETRA III Generalized Multipole Technique Antenna Antennen Wakefelder Berechnung

Storing Data in the Trial of Complex Technical Products

The article considers the ways of organization of databases for the storage of the results obtained during testing. A new variant of the organization of the data to ensure the ability to write to the database different sets of parameters in the form of chronological series. The required set of parameters depends on the modification of the tested technical installation.

Validation of two echocardiographic indexes to improve the diagnosis of complex coarctations

Rapport de synthèse: Enjeux et contexte de recherche : la coarctation de l'aorte, rétrécissement de l'aorte thoracique descendante, est une des malformations cardiaques congénitales les plus fréquentes. Son diagnostic reste cependant difficile surtout lorsqu'elle est associée à la présence d'un canal artériel ou à une malformation cardiaque plus complexe. Dans ces contextes, les signes échographiques classiques qui posent habituellement le diagnostic (visualisation d'un rétrécissement juxtaductal et accélération au Doppler au niveau de l'isthme aortique) peuvent faire défaut ou être difficile à imager. La validation d'index basé sur des mesures anatomiques faciles à acquérir par échographie cardiaque, indépendantes de l'âge, de la situation hémodynamique et des malformations cardiaques associées représente une aide significative dans le diagnostic de la coarctation de l'aorte. Nous avons donc voulu valider par une étude rétrospective la fiabilité de deux index dans cette indication : l'index des artères carotido-sous-clavière (index CSA; rapport du diamètre de l'arc aortique transverse distal sur la distance entre les artères carotide et sous-clavière gauches) et l'index de l'aorte isthmique-descendante (index I/D; rapport des diamètres de l'aorte isthmique sur celui de l'aorte descendante). Notre article : nous avons rétrospectivement calculé la valeur des deux index (CSA et I/D) chez un groupe de 68 enfants avec coarctation et un groupe 24 cas contrôles apparenté pour l'âge et le sexe. Les enfants avec coarctation ont un index CSA et I/D significativement plus bas que le groupe contrôle (Index CSA : 0.84 ± 0.39 vs. 2.65 ± 0.82, p<0.0001 - Index I/D : 0.58 ± 0.18 vs. 0.98 ± 0.19, p<0.0001). Pour les deux index, ni la présence d'une autre malformation cardiaque, ni l'âge n'ont un impact sur la différence significative entre les deux groupes. Conclusions: notre recherche à permis de valider qu'un index CSA de moins de 1,5 est fortement suggestif d'une coarctation, indépendamment de l'âge du patient et de la présence d'une autre malformation cardiaque. L'index I/D (valeur limite 0,64) est moins spécifique que l'index CSA. L'association des deux index augmente la sensibilité et permet rétrospectivement le diagnostic de tous les cas de coarctation seulement sur la base d'une échographie cardiaque standard faite au lit du patient. Perspectives : cette étude rétrospective mérite d'être vérifiée par une étude prospective afin de confirmer la contribution de ces index à la prise en charge des patients suspects d'une coarctation de l'aorte. Cependant, la situation dans laquelle ces index pourraient avoir le plus grand impact reste encore à explorer. En effet, si le diagnostic postnatal de la coarctation est parfois difficile, son diagnostic prénatal l'est nettement plus. La présence obligatoire du canal artériel et l'existence d'une hypoplasie isthmique physiologique chez le foetus obligent le cardiologue foetale à observer des signes indirects, peu sensibles, d'une possible coarctation (prépondérance des cavités droites). La validation de l'index CSA et/ou de l'index I/D chez le foetus constituerait donc une avancée majeure dans le diagnostic prénatal de la coarctation de l'aorte.

Conservation of complex knotting and slipknotting patterns in proteins.

While analyzing all available protein structures for the presence of knots and slipknots, we detected a strict conservation of complex knotting patterns within and between several protein families despite their large sequence divergence. Because protein folding pathways leading to knotted native protein structures are slower and less efficient than those leading to unknotted proteins with similar size and sequence, the strict conservation of the knotting patterns indicates an important physiological role of knots and slipknots in these proteins. Although little is known about the functional role of knots, recent studies have demonstrated a protein-stabilizing ability of knots and slipknots. Some of the conserved knotting patterns occur in proteins forming transmembrane channels where the slipknot loop seems to strap together the transmembrane helices forming the channel.

Current approaches and challenges for the metabolite profiling of complex natural extracts.

Metabolite profiling is critical in many aspects of the life sciences, particularly natural product research. Obtaining precise information on the chemical composition of complex natural extracts (metabolomes) that are primarily obtained from plants or microorganisms is a challenging task that requires sophisticated, advanced analytical methods. In this respect, significant advances in hyphenated chromatographic techniques (LC-MS, GC-MS and LC-NMR in particular), as well as data mining and processing methods, have occurred over the last decade. Together, these tools, in combination with bioassay profiling methods, serve an important role in metabolomics for the purposes of both peak annotation and dereplication in natural product research. In this review, a survey of the techniques that are used for generic and comprehensive profiling of secondary metabolites in natural extracts is provided. The various approaches (chromatographic methods: LC-MS, GC-MS, and LC-NMR and direct spectroscopic methods: NMR and DIMS) are discussed with respect to their resolution and sensitivity for extract profiling. In addition the structural information that can be generated through these techniques or in combination, is compared in relation to the identification of metabolites in complex mixtures. Analytical strategies with applications to natural extracts and novel methods that have strong potential, regardless of how often they are used, are discussed with respect to their potential applications and future trends.

Improved estimation of the covariance matrix of stock returns with an application to portofolio selection

This paper proposes to estimate the covariance matrix of stock returnsby an optimally weighted average of two existing estimators: the samplecovariance matrix and single-index covariance matrix. This method isgenerally known as shrinkage, and it is standard in decision theory andin empirical Bayesian statistics. Our shrinkage estimator can be seenas a way to account for extra-market covariance without having to specifyan arbitrary multi-factor structure. For NYSE and AMEX stock returns from1972 to 1995, it can be used to select portfolios with significantly lowerout-of-sample variance than a set of existing estimators, includingmulti-factor models.

Method to assess and optimise dependability of complex macro-systems: application to a railway signalling system

Achieving a high degree of dependability in complex macro-systems is challenging. Because of the large number of components and numerous independent teams involved, an overview of the global system performance is usually lacking to support both design and operation adequately. A functional failure mode, effects and criticality analysis (FMECA) approach is proposed to address the dependability optimisation of large and complex systems. The basic inductive model FMECA has been enriched to include considerations such as operational procedures, alarm systems. environmental and human factors, as well as operation in degraded mode. Its implementation on a commercial software tool allows an active linking between the functional layers of the system and facilitates data processing and retrieval, which enables to contribute actively to the system optimisation. The proposed methodology has been applied to optimise dependability in a railway signalling system. Signalling systems are typical example of large complex systems made of multiple hierarchical layers. The proposed approach appears appropriate to assess the global risk- and availability-level of the system as well as to identify its vulnerabilities. This enriched-FMECA approach enables to overcome some of the limitations and pitfalls previously reported with classical FMECA approaches.

Self-similarity of complex networks and hidden metric spaces

We demonstrate that the self-similarity of some scale-free networks with respect to a simple degree-thresholding renormalization scheme finds a natural interpretation in the assumption that network nodes exist in hidden metric spaces. Clustering, i.e., cycles of length three, plays a crucial role in this framework as a topological reflection of the triangle inequality in the hidden geometry. We prove that a class of hidden variable models with underlying metric spaces are able to accurately reproduce the self-similarity properties that we measured in the real networks. Our findings indicate that hidden geometries underlying these real networks are a plausible explanation for their observed topologies and, in particular, for their self-similarity with respect to the degree-based renormalization.

Using spatially distributed parameters and multi-response objective functions to solve parameterization of complex applications of semi-distributed hydrological models

Application of semi-distributed hydrological models to large, heterogeneous watersheds deals with several problems. On one hand, the spatial and temporal variability in catchment features should be adequately represented in the model parameterization, while maintaining the model complexity in an acceptable level to take advantage of state-of-the-art calibration techniques. On the other hand, model complexity enhances uncertainty in adjusted model parameter values, therefore increasing uncertainty in the water routing across the watershed. This is critical for water quality applications, where not only streamflow, but also a reliable estimation of the surface versus subsurface contributions to the runoff is needed. In this study, we show how a regularized inversion procedure combined with a multiobjective function calibration strategy successfully solves the parameterization of a complex application of a water quality-oriented hydrological model. The final value of several optimized parameters showed significant and consistentdifferences across geological and landscape features. Although the number of optimized parameters was significantly increased by the spatial and temporal discretization of adjustable parameters, the uncertainty in water routing results remained at reasonable values. In addition, a stepwise numerical analysis showed that the effects on calibration performance due to inclusion of different data types in the objective function could be inextricably linked. Thus caution should be taken when adding or removing data from an aggregated objective function.