On Unitary Time Evolution in Gowdy T3T^3 Cosmologies

A non-perturbative canonical quantization of Gowdy $T^3$ polarized models carried out recently is considered. This approach profits from the equivalence between the symmetry reduced model and 2+1 gravity coupled to a massless real scalar field. The system is partially gauge fixed and a choice of internal time is performed, for which the true degrees of freedom of the model reduce to a massless free scalar field propagating on a 2-dimensional expanding torus. It is shown that the symplectic transformation that determines the classical dynamics cannot be unitarily implemented on the corresponding Hilbert space of quantum states. The implications of this result for both quantization of fields on curved manifolds and physically relevant questions regarding the initial singularity are discussed.Comment: 16 pages, no figures, latex file; references added, a proof included. Final version to appear in IJMP

Análisis del VaR en crisis y estabilidad: El caso de México y Argentina

Keywords: Exchange rate, exchange risk, FIX, Mexico, volatilityAbstract: The present analysis shows the possible effects of the risk to which the economies of Mexico and Argentina are exposed. The article studies the methodology of the VaR using the parametric model of average variance in individual in the type of change of the economies of Mexico and Argentina. The types from changes of the two economies are taken and the evolutionof the VaR at time of crisis and exchange stability is analyzed. The main disadvantages of the Bar like metric are explained of measurement of risk.Palabras clave: Banco Central, FIX, México, riesgo cambiario, tipo de cambio, volatilidadResumen: El presente análisis muestra los posibles efectos del riesgo al que están expuestos las economías de México y Argentina. El artículo estudia la metodología del VaR utilizando el modelo paramétrico de media varianza en particular en el tipo de cambio de las economías de México y Argentina. Se toman los tipos de cambios de las dos economías y se analiza la evolución del VaR en época de crisis y estabilidad cambiaria. Se explican las principales inconvenientes del VaR como métrica de medición de riesgo

Adenylate effects on protein phosphorylation in the interenvelope lumen of pea chloroplasts

A 64-kilodalton (kDa) protein, situated in the lumen between the inner and outer envelopes of pea (Pisum sativum L.) chloroplasts (Soll and Bennett 1988, Eur. J. Biochem., 175, 301–307) is shown to undergo reversible phosphorylation in isolated mixed envelope vesicles. It is the most conspicuously labelled protein after incubation of envelopes with 33 nmol·1-1 [-32P]ATP whereas incubation with 50 mol·1-1 [-32P]ATP labels most prominently two outer envelope proteins (86 and 23 kDa). Half-maximum velocity for phosphorylation of the 64-kDa protein occurs with 200 nmol·1-1 ATP, and around 40 mol·1-1 ATP for phosphorylation of the 86- and 23-kDa proteins, indicating the operation of two distinct kinases. GGuanosine-, uridine-, cytidine 5-triphosphate and AMP are poor inhibitors of the labelling of the 64-kDa protein with [-32P]ATP. On the other hand, ADP has a potent influence on the extent of labelling (half-maximal inhibition at 1–5 mol·1-1). The ADP-dependent appearance of 32P in ATP indicates that ADP acts by reversal of kinase activity and not as a competitive inhibitor. However, the most rapid loss of 32P from pre-labelled 64-kDa protein occurs when envelope vesicles are incubated with ATP t1/2=15 s at 20 molsd1-1 ATP). This induced turnover of phosphate appears to be responsible for the rapid phosphoryl turnover seen in situ

Histomorfometric study of the spleen of healthy and diabetic Wistar rats supplemented or not with vitamin C

O objetivo deste trabalho foi de analisar morfometricamente fragmentos histológicos do baço de animais normais e diabéticos, comparando os resultados encontrados e relacionando-os ao sexo e a suplementação da vitamina C. Foram utilizados 32 ratos Wistar, os quais foram analisados número de vasos, o número de folículos germinativos (polpa branca) e o diâmetro dos vasos de cada animal. As análises histológicas e morfometricas foram feitas em amostras de 5µm de espessura demonstrando que: na quantidade de folículos germinativos, observamos resultados comparando, independente do sexo, animais controles suplementados com vitamina C e controles não suplementados (p≤0,05; F=0,1452); na quantidade de vasos, observamos resultados comparando, fêmeas diabéticas suplementadas pela vitamina C e fêmeas diabéticas não suplementadas (pd"0,05; F=6.8893); e no diâmetro dos vasos, observamos resultados comparando fêmeas, tanto no grupo controle quanto ao grupo diabético, suplementadas pela vitamina C quando comparadas às fêmeas não suplementadas pela vitamina C (p<0,05; U=121.50; Z(U)=2.1234) e (p<0,05; F=4.8134). De um modo geral, a indução de diabetess modifica o diâmetro vascular nas fêmeas e que a administração de vitamina C interfere nos dados métricos relativos ao diâmetro vascular somente nas fêmeas.The objective of this study was to analyze morphometric histological shatters of the spleen of normal and diabetic animals, comparing the joined results and relating them in the sex and the suplementation of vitamin C. Had been used 32 Wistar rats, which had been analyzed: number of vases; the number of germinative folicules (white pulp); and the diameter of the vases of each animal. Histological and morphometric analyses were applied on 5µm thick samples and showed that: in the amount of germinative folicules, we observe resulted comparing, independent of the sex, animals controls supplemented with vitamin C and controls not supplemented (p≤0.05; F=0.1452); in the amount of vases, we observe resulted comparing, of diabetic females supplemented by vitamin C when compared with not supplemented (pd"0.05; F=6.8893); and in the diameter of the vases, we observe resulted comparing females, as much in the group has controlled how much to the diabetic group, supplemented with vitamin C when compared with the females not supplemented with vitamin C (p<0.05; U=121.50; Z(U)=2.1234) and (p<0,05; F=4.8134). In a general way, the induction of diabetes modifies the vascular diameter in the females and that the vitamin C administration only intervenes with relative metric data to the vascular diameter in the females

Quantifying Model Complexity via Functional Decomposition for Better Post-Hoc Interpretability

Post-hoc model-agnostic interpretation methods such as partial dependence plots can be employed to interpret complex machine learning models. While these interpretation methods can be applied regardless of model complexity, they can produce misleading and verbose results if the model is too complex, especially w.r.t. feature interactions. To quantify the complexity of arbitrary machine learning models, we propose model-agnostic complexity measures based on functional decomposition: number of features used, interaction strength and main effect complexity. We show that post-hoc interpretation of models that minimize the three measures is more reliable and compact. Furthermore, we demonstrate the application of these measures in a multi-objective optimization approach which simultaneously minimizes loss and complexity

Localization of a 64-kDa phosphoprotein in the lumen between the outer and inner envelopes of pea chloroplasts

The identification and localization of a marker protein for the intermembrane space between the outer and inner chloroplast envelopes is described. This 64-kDa protein is very rapidly labeled by [γ-32P]ATP at very low (30 nM) ATP concentrations and the phosphoryl group exhibits a high turnover rate. It was possible to establish the presence of the 64-kDa protein in this plastid compartment by using different chloroplast envelope separation and isolation techniques. In addition comparison of labeling kinetics by intact and hypotonically lysed pea chloroplasts support the localization of the 64-kDa protein in the intermembrane space. The 64-kDa protein was present and could be labeled in mixed envelope membranes isolated from hypotonically lysed plastids. Mixed envelope membranes incorporated high amounts of 32P from [γ-32P]ATP into the 64-kDa protein, whereas separated outer and inner envelope membranes did not show significant phosphorylation of this protein. Water/Triton X-114 phase partitioning demonstrated that the 64-kDa protein is a hydrophilic polypeptide. These findings suggest that the 64-kDa protein is a soluble protein trapped in the space between the inner and outer envelope membranes. After sonication of mixed envelope membranes, the 64-kDa protein was no longer present in the membrane fraction, but could be found in the supernatant after a 110000 × g centrifugation

Using data mining for prediction of hospital length of stay: an application of the CRISP-DM Methodology

Hospitals are nowadays collecting vast amounts of data related with patient records. All this data hold valuable knowledge that can be used to improve hospital decision making. Data mining techniques aim precisely at the extraction of useful knowledge from raw data. This work describes an implementation of a medical data mining project approach based on the CRISP-DM methodology. Recent real-world data, from 2000 to 2013, were collected from a Portuguese hospital and related with inpatient hospitalization. The goal was to predict generic hospital Length Of Stay based on indicators that are commonly available at the hospitalization process (e.g., gender, age, episode type, medical specialty). At the data preparation stage, the data were cleaned and variables were selected and transformed, leading to 14 inputs. Next, at the modeling stage, a regression approach was adopted, where six learning methods were compared: Average Prediction, Multiple Regression, Decision Tree, Artificial Neural Network ensemble, Support Vector Machine and Random Forest. The best learning model was obtained by the Random Forest method, which presents a high quality coefficient of determination value (0.81). This model was then opened by using a sensitivity analysis procedure that revealed three influential input attributes: the hospital episode type, the physical service where the patient is hospitalized and the associated medical specialty. Such extracted knowledge confirmed that the obtained predictive model is credible and with potential value for supporting decisions of hospital managers

Email spam detection : a symbiotic feature selection approach fostered by evolutionary computation

Post-print version (prior to journal publication)The electronic mail (email) is nowadays an essential communication service being widely used by most Internet users. One of the main problems affecting this service is the proliferation of unsolicited messages (usually denoted by spam) which, despite the efforts made by the research community, still remains as an inherent problem affecting this Internet service. In this perspective, this work proposes and explores the concept of a novel symbiotic feature selection approach allowing the exchange of relevant features among distinct collaborating users, in order to improve the behavior of anti-spam filters. For such purpose, several Evolutionary Algorithms (EA) are explored as optimization engines able to enhance feature selection strategies within the anti-spam area. The proposed mechanisms are tested using a realistic incremental retraining evaluation procedure and resorting to a novel corpus based on the well-known Enron datasets mixed with recent spam data. The obtained results show that the proposed symbiotic approach is competitive also having the advantage of preserving end-users privacy.The work of P. Cortez and P. Sousa was funded by FEDER, through the program COMPETE and the Portuguese Foundation for Science and Technology (FCT), within the project FCOMP-01-0124-FEDER-022674

Diagnostic Utility of Wireless Video-Electroencephalography in Unsedated Dogs

Background: Poor agreement between observers on whether an unusual event is a seizure drives the need for a specific diagnostic tool provided by video-electroencephalography (video-EEG) in human pediatric epileptology. Objective: That successful classification of events would be positively associated with increasing EEG recording length and higher event frequency reported before video-EEG evaluation; that a novel wireless video-EEG technique would clarify whether unusual behavioral events were seizures in unsedated dogs. Animals: Eighty-one client-owned dogs of various breeds undergoing investigation of unusual behavioral events at 4 institutions. Methods: Retrospective case series: evaluation of wireless video-EEG recordings in unsedated dogs performed at 4 institutions. Results: Electroencephalography achieved/excluded diagnosis of epilepsy in 58 dogs (72%); 25 dogs confirmed with epileptic seizures based on ictal/interictal epileptiform discharges, and 33 dogs with no EEG abnormalities associated with their target events. As reported frequency of the target events decreased (annually, monthly, weekly, daily, hourly, minutes, seconds), EEG was less likely to achieve diagnosis (P <0.001). Every increase in event frequency increased the odds of achieving diagnosis by 2.315 (95% confidence interval: 1.36-4.34). EEG recording length (mean = 3.69 hours, range: 0.17-22.5) was not associated (P = 0.2) with the likelihood of achieving a diagnosis. Conclusions and Clinical Importance: Wireless video-EEG in unsedated dogs had a high success for diagnosis of unusual behavioral events. This technique offered a reliable clinical tool to investigate the epileptic origin of behavioral events in dogs.Peer reviewe