Conditional compositional biplots: theory and application

The biplot has proved to be a powerful descriptive and analytical tool in many areasof applications of statistics. For compositional data the necessary theoreticaladaptation has been provided, with illustrative applications, by Aitchison (1990) andAitchison and Greenacre (2002). These papers were restricted to the interpretation ofsimple compositional data sets. In many situations the problem has to be described insome form of conditional modelling. For example, in a clinical trial where interest isin how patients’ steroid metabolite compositions may change as a result of differenttreatment regimes, interest is in relating the compositions after treatment to thecompositions before treatment and the nature of the treatments applied. To study thisthrough a biplot technique requires the development of some form of conditionalcompositional biplot. This is the purpose of this paper. We choose as a motivatingapplication an analysis of the 1992 US President ial Election, where interest may be inhow the three-part composition, the percentage division among the three candidates -Bush, Clinton and Perot - of the presidential vote in each state, depends on the ethniccomposition and on the urban-rural composition of the state. The methodology ofconditional compositional biplots is first developed and a detailed interpretation of the1992 US Presidential Election provided. We use a second application involving theconditional variability of tektite mineral compositions with respect to major oxidecompositions to demonstrate some hazards of simplistic interpretation of biplots.Finally we conjecture on further possible applications of conditional compositionalbiplots

Application for fault location in electrical power distribution systems

Fault location has been studied deeply for transmission lines due to its importance in power systems. Nowadays the problem of fault location on distribution systems is receiving special attention mainly because of the power quality regulations. In this context, this paper presents an application software developed in Matlabtrade that automatically calculates the location of a fault in a distribution power system, starting from voltages and currents measured at the line terminal and the model of the distribution power system data. The application is based on a N-ary tree structure, which is suitable to be used in this application due to the highly branched and the non- homogeneity nature of the distribution systems, and has been developed for single-phase, two-phase, two-phase-to-ground, and three-phase faults. The implemented application is tested by using fault data in a real electrical distribution power system

Conditional deletion of ferritin h in mice reduces B and T lymphocyte populations.

The immune system and iron availability are intimately linked as appropriate iron supply is needed for cell proliferation, while excess iron, as observed in hemochromatosis, may reduce subsets of lymphocytes. We have tested the effects of a ferritin H gene deletion on lymphocytes. Mx-Cre mediated conditional deletion of ferritin H in bone marrow reduced the number of mature B cells and peripheral T cells in all lymphoid organs. FACS analysis showed an increase in the labile iron pool, enhanced reactive oxygen species formation and mitochondrial depolarization. The findings were confirmed by a B-cell specific deletion using Fth(lox/lox) ; CD19-Cre mice. Mature B cells were strongly under-represented in bone marrow and spleen of the deleted mice, whereas pre-B and immature B cells were not affected. Bone marrow B cells showed increased proliferation as judged by the number of cells in S and G2/M phase as well as BrdU incorporation. Upon in vitro culture with B-cell activating factor of the tumor necrosis factor family (BAFF), ferritin H-deleted spleen B cells showed lower survival rates than wild type cells. This was partially reversed with iron-chelator deferiprone. The loss of T cells was also confirmed by a T cell-specific deletion in Fth(lox/lox) ;CD4-Cre mice. Our data show that ferritin H is required for B and T cell survival by actively reducing the labile iron pool. They further suggest that natural B and T cell maturation is influenced by intracellular iron levels and possibly deregulated in iron excess or deprivation.

Exploring Cross-layer power management for PGAS applications on the SCC platform

Technological limitations and power constraints are resulting in high-performance parallel computing architectures that are based on large numbers of high-core-count processors. Commercially available processors are now at 8 and 16 cores and experimental platforms, such as the many-core Intel Single-chip Cloud Computer (SCC) platform, provide much higher core counts. These trends are presenting new sets of challenges to HPC applications including programming complexity and the need for extreme energy efficiency.In this work, we first investigate the power behavior of scientific PGAS application kernels on the SCC platform, and explore opportunities and challenges for power management within the PGAS framework. Results obtained via empirical evaluation of Unified Parallel C (UPC) applications on the SCC platform under different constraints, show that, for specific operations, the potential for energy savings in PGAS is large; and power/performance trade-offs can be effectively managed using a cross-layerapproach. We investigate cross-layer power management using PGAS language extensions and runtime mechanisms that manipulate power/performance tradeoffs. Specifically, we present the design, implementation and evaluation of such a middleware for application-aware cross-layer power management of UPC applications on the SCC platform. Finally, based on our observations, we provide a set of recommendations and insights that can be used to support similar power management for PGAS applications on other many-core platforms.

Construction and analysis of a new conditional ferritin H knockout mouse strain/

Résumé Le fer joue un rôle important dans la plupart des fonctions biologiques mais sa présence excessive provoque la production de molécules réactives d'oxygène (ROS) qui peuvent contribuer à diverses maladies. La protéine de stockage du fer, la ferritine H, capte l'excès en fer et le stocke sous forme non-toxique, ce qui empêche des dommages potentiels. La délétion de la ferritine H dans des souris knock-out a été essayée antérieurement, mais ces souris mouraient au stade précoce du développement embryonnaire. Pour étudier l'importance du fer, et en particulier son stockage dans la ferritine, et pour pouvoir mieux comprendre les fonctions de la ferritine H, nous avons créé un modèle de souris knock-out conditionnelles de la ferritine H, selon le système classique de Cre-LoxP. Le premier exon et la région du promoteur du gène de la ferritine H ont été entourés de sites loxP. La mortalité embryonnaire provoquée par la délétion constitutive du gène de la ferritine H a été confirmée en croisant nos souris avec des souris exprimant nestin-Cre1. En croisant nos souris avec des souris transgéniques Mx-Cre, nous avons observé que l'induction de Cre par injection de polyI-polyC provoque la délétion presque complète de la ferritine H dans le foie (> 99%) et la rate (> 88%). Ces tissus ont également perdu une grande partie de leur réserve de fer. Cette observation apporte pour la première fois la preuve in vivo que la ferritine H est indispensable pour le stockage du fer, que les fonctions de la ferritine H et de la ferritine L ne sont pas équivalentes, et que la ferritine L ne peut pas assumer seule la fonction de stockage du fer. Dans le foie des souris knock-out, l'expression de l'ARN messager de l'hepcidine a été induite après 10 jours. En même temps, l'expression de l'ARN messager des gènes codant pour des protéines de l'absorption de fer (DMT1, ferroportin, Dcytb1 et hephaestin) a été réprimée mais dans le duodénum seulement. L'expression d'hepcidine est inversément corrélée avec celle des gènes liés à l'absorption de fer. Cette observation corrobore des études antérieures. Mais, en plus, elle montre également que cette répression se produit seulement dans l'intestin. Nous pouvons ainsi tirer la conclusion suivante : ou bien l'hepcidine a un récepteur spécifique dans le duodénum ou bien les gènes liés à l'absorption de fer dans le duodénum ont un facteur spécifique de transcription sensible à l'hepcidine. Aucune répression de DMT1 et de ferroportin n'a été observée dans les macrophages de la rate après l'induction d'hepcidine. La délétion de ferritine H a entraîné une augmentation du taux de mortalité des cellules hépatiques, ainsi que des altérations dans l'architecture normale du tissu de la rate. Vu par l'immunohistologie, le nombre de lymphocytes B et T était réduit dans la rate, tendant à démontrer que la ferritine H et l'homéostase du fer jouent un rôle dans l'immunité. En conclusion, le modèle de souris knock-out conditionnelles de la ferritine H nous fournit un outil précieux pour l'étude in vivo du rôle joué par la ferritine dans l'homéostase du fer, dans les dommages créés par les ROS, ainsi que dans l'apoptose et l'immunité. Summary Iron plays an important role in most biological functions. However, excess of iron results in production of reactive oxygen species (ROS) which could substantially contribute to pathology of various diseases. Ferritin H scavenges excess of iron and stores it in non-toxic form and potentially prevents the damage. Fenitin H targeting in mice has been attempted before, however, straight knockout was lethal in early embryonic stage. To study the role of iron and its storage protein ferritin and to further elucidate ferritin H functions, we aimed at creating a conditional ferritin H knockout mouse model by classical Cre-LoxP system. First exon along with promoter region of the ferritin H gene was foxed. Embryonic lethality of the constitutive ferritin H deletion was confirmed by crossing the foxed mice with mice expressing nestin Cre-1 as transgene. Almost complete deletion was observed in liver (> 99%) and spleen (>88%) upon induction of Cre by injecting polyI-polyC in Fth Lox/Lox; MxCre mice. These tissues also lost substantial fraction of their iron stores. This provides first in vivo evidence that ferritin H is required for iron storage, ferritin H and L functions are not redundant and that ferritin L cannot perform iron storage function alone. Hepcidin mRNA expression was induced after 10 days in the livers of deleted mice and, simultaneously, mRNA expression of iron absorption related genes (DMT 1, ferroportin, Dcytb1 and hephaestin) was repressed in duodenum only. Hepcidin expression is inversely correlated with that of duodenal iron absorption related genes. This is in agreement with previous studies. However, we also show that this repression happens only in intestine. This leads to the conclusion that either hepcidin has a specific receptor in duodenum or the iron absorption related genes have duodenum specific transcription factor that is responsive to hepcidin. No repression of DMT1 and ferroportin was observed in spleen macrophages upon hepcidin induction. Ferritin H deletion showed increased cell death in liver and disruption of normal architecture of spleen. B lymphocytes were reduced in spleen on immunohistology which point towards a role of ferritin H and iron homeostasis in immunity. In conclusion, ferritin H conditional knockout mouse model provides us with an invaluable tool to study the in vivo role of ferritin H in iron homeostasis, ROS mediated damage, apoptosis and immunity.

Assessing the viability of power-supply systems: a tentative protocol

This Technical Report presents a tentative protocol used to assess the viability of powersupply systems. The viability of power-supply systems can be assessed by looking at the production factors (e.g. paid labor, power capacity, fossil-fuels) – needed for the system to operate and maintain itself – in relation to the internal constraints set by the energetic metabolism of societies. In fact, by using this protocol it becomes possible to link assessments of technical coefficients performed at the level of the power-supply systems with assessments of benchmark values performed at the societal level throughout the relevant different sectors. In particular, the example provided here in the case of France for the year 2009 makes it possible to see that in fact nuclear energy is not viable in terms of labor requirements (both direct and indirect inputs) as well as in terms of requirements of power capacity, especially when including reprocessing operations.

Stochastic optimal bid to electricity markets with environmental risk constraints

There are many factors that influence the day-ahead market bidding strategies of a generation company (GenCo) in the current energy market framework. Environmental policy issues have become more and more important for fossil-fuelled power plants and they have to be considered in their management, giving rise to emission limitations. This work allows to investigate the influence of both the allowances and emission reduction plan, and the incorporation of the derivatives medium-term commitments in the optimal generation bidding strategy to the day-ahead electricity market. Two different technologies have been considered: the coal thermal units, high-emission technology, and the combined cycle gas turbine units, low-emission technology. The Iberian Electricity Market and the Spanish National Emissions and Allocation Plans are the framework to deal with the environmental issues in the day-ahead market bidding strategies. To address emission limitations, some of the standard risk management methodologies developed for financial markets, such as Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR), have been extended. This study offers to electricity generation utilities a mathematical model to determinate the individual optimal generation bid to the wholesale electricity market, for each one of their generation units that maximizes the long-run profits of the utility abiding by the Iberian Electricity Market rules, the environmental restrictions set by the EU Emission Trading Scheme, as well as the restrictions set by the Spanish National Emissions Reduction Plan. The economic implications for a GenCo of including the environmental restrictions of these National Plans are analyzed and the most remarkable results will be presented.

Modelling world investment markets using threshold conditional correlation models

In this paper we propose a parsimonious regime-switching approach to model the correlations between assets, the threshold conditional correlation (TCC) model. This method allows the dynamics of the correlations to change from one state (or regime) to another as a function of observable transition variables. Our model is similar in spirit to Silvennoinen and Teräsvirta (2009) and Pelletier (2006) but with the appealing feature that it does not suffer from the course of dimensionality. In particular, estimation of the parameters of the TCC involves a simple grid search procedure. In addition, it is easy to guarantee a positive definite correlation matrix because the TCC estimator is given by the sample correlation matrix, which is positive definite by construction. The methodology is illustrated by evaluating the behaviour of international equities, govenrment bonds and major exchange rates, first separately and then jointly. We also test and allow for different parts in the correlation matrix to be governed by different transition variables. For this, we estimate a multi-threshold TCC specification. Further, we evaluate the economic performance of the TCC model against a constant conditional correlation (CCC) estimator using a Diebold-Mariano type test. We conclude that threshold correlation modelling gives rise to a significant reduction in portfolio´s variance.

A survey on voltage sag events in power systems

This paper aims to survey the techniques and methods described in literature to analyse and characterise voltage sags and the corresponding objectives of these works. The study has been performed from a data mining point of view

Unusual voltage sag event detection in power systems

Three multivariate statistical tools (principal component analysis, factor analysis, analysis discriminant) have been tested to characterize and model the sags registered in distribution substations. Those models use several features to represent the magnitude, duration and unbalanced grade of sags. They have been obtained from voltage and current waveforms. The techniques are tested and compared using 69 registers of sags. The advantages and drawbacks of each technique are listed

A hybrid method for sag source location in power network

The work presented in this paper belongs to the power quality knowledge area and deals with the voltage sags in power transmission and distribution systems. Propagating throughout the power network, voltage sags can cause plenty of problems for domestic and industrial loads that can financially cost a lot. To impose penalties to responsible party and to improve monitoring and mitigation strategies, sags must be located in the power network. With such a worthwhile objective, this paper comes up with a new method for associating a sag waveform with its origin in transmission and distribution networks. It solves this problem through developing hybrid methods which hire multiway principal component analysis (MPCA) as a dimension reduction tool. MPCA reexpresses sag waveforms in a new subspace just in a few scores. We train some well-known classifiers with these scores and exploit them for classification of future sags. The capabilities of the proposed method for dimension reduction and classification are examined using the real data gathered from three substations in Catalonia, Spain. The obtained classification rates certify the goodness and powerfulness of the developed hybrid methods as brand-new tools for sag classification