Physiological responses and rate of perceived exertion in Brazilian jiu-jitsu athletes

In this study, the physiological responses and rate of perceived exertion in Brazilian jiu-jitsu fighters submitted to a combat simulation were investigated. Venous blood samples and heart rate were taken from twelve male Brazilian jiu-jitsu athletes (27.1+/-2.7 yrs, 75.4+/-8.8 kg, 174.9+/-4.4 cm, 9.2+/-2.4% fat), at rest, after a warm-up (ten minutes), immediately after the fight simulation (seven minutes) and after recovery (fourteen minutes). After the combat the rate of perceived exertion was collected. The combat of the Brazilian jiu-jitsu fighters did not change blood concentrations of glucose, triglycerides, total cholesterol, low density lipoprotein and very low density lipoprotein, ureia and ammonia. However, blood levels of high density lipoprotein were significantly higher post-fight (before: 43.0+/-6.9 mg/dL, after: 45.1+/-8.0 mg/dL) and stayed at high levels during the recovery period (43.6+/-8.1 mg/dL) compared to the rest values (40.0+/-6.6 mg/dL). The fight did not cause changes in the concentrations of the cell damage markers of creatine kinase, aspartate aminotransferase and creatinine. However, blood concentrations of the alanine aminotransferase (before: 16.1+/-7.1 U/L, after: 18.6+/-7.1 U/L) and lactate dehydrogenase (before: 491.5+/-177.6 U/L, after: 542.6+/-141.4 U/L) enzymes were elevated after the fight. Heart rate (before: 122+/-25 bpm, after: 165+/-17 bpm) and lactate (before: 2.5+/-1.2 mmol/L, after: 11.9+/-5.8 mmol/L) increased significantly with the completion of combat. Despite this, the athletes rated the fight as being light or somewhat hard (12+/-2). These results showed that muscle glycogen is not the only substrate used in Brazilian jiu-jitsu fights, since there are indications of activation of the glycolytic, lipolytic and proteolytic pathways. Furthermore, the athletes rated the combats as being light or somewhat hard although muscle damage markers were generated.

Efeito direto e interativo do período de avaliação sobre a orientação temporal dos gestores

O objetivo neste estudo é investigar o efeito direto e interativo do período de avaliação sobre a orientação temporal dos gestores (OTG), isto é, o horizonte de tempo entre o momento de alocação de recursos e o momento do impacto financeiro dessa alocação. Tendo por base a literatura contábil e econômica, são examinadas as seguintes hipóteses: um período de avaliação mais de longo prazo afeta positivamente a OTG e o efeito positivo de um período de avaliação mais de longo prazo sobre a OTG é maior no caso de maior importância atribuída a medidas não financeiras do que a medidas financeiras de desempenho. Aplica-se a técnica estatística de mínimos quadrados parciais (PLS) para testar as hipóteses deste estudo, sendo os dados coletados por meio de um levantamento realizado junto a 66 gestores de nível intermediário que atuam em 11 empresas. Os resultados sugerem que o período de avaliação não possui efeitos diretos sobre a OTG; no entanto, quando considerada sua interação com a medida de desempenho, os resultados indicam que o efeito do período de avaliação sobre a OTG depende da importância relativa de medidas financeiras versus não financeiras. A principal implicação desses resultados é que o uso de um período de avaliação de longo prazo em combinação com um peso maior atribuído a medidas não financeiras de desempenho não afeta positivamente a OTG; ao contrário, esse efeito positivo sobre a OTG está presente quando um período de avaliação de curto prazo está associado a menor importância de medidas não financeiras de desempenho.

Face recognition from a tabula rasa perspective

[EN]In this paper a system for face recognition from a tabula rasa (i.e. blank slate) perspective is described. A priori, the system has the only ability to detect automatically faces and represent them in a space of reduced dimension. Later, the system is exposed to over 400 different identities, observing its recognition performance evolution. The preliminary results achieved indicate on the one side that the system is able to reject most of unknown individuals after an initialization stage.

Electrosynthesis and characterization of structured catalysts

In this research work the optimization of the electrochemical system of LDHs as catalytic precursors on FeCrAlY foams was carried out. Preliminary sintheses were performed on flat surfaces in order to easily characterize the deposited material. From the study of pH evolution vs time at different cathodic potentials applied to a Pt electrode, the theoretical best working conditions for the synthesis of single hydroxides and LDH compounds was achieved. In order to define the optimal potential for the synthesis of a particular LDH compound, the collected data were compared with the interval of precipitation determined by titration with NaOH. However, the characterization of the deposited material on Pt surfaces did not confirm the deposition of a pure and homogeneous LDH phase during the synthesis. Instead a sequential deposition linked to the pH of precipitation of the involved elements is observed. The same behavior was observed during the synthesis of the RhMgAl LDH on FeCrAlY foam as catalytic precursor. Several parameters were considered in order to optimize the synthesis.. The development of electrochemical cells with different feature, such as the counter electrode dimensions or the contact between the foam and the potentiostat, had been carried out in order to obtain a better coating of the foam. The influence of the initial pH of the electrolyte solution, of the applied potential, of the composition of the electrolytic solution were investigated in order to improve a better coating of the catalyst support. Catalytic tests were performed after the calcination of the deposited foam for the CPO and SR reactions, showing an improve of performances along with optimization of the precursors synthesis conditions.

Measurement of K(892)*0 resonance production in Pb-Pb collisions with the ALICE experiment at the LHC

The analysis of the K(892)*0 resonance production in Pb–Pb collisions at √sNN = 2.76 TeV with the ALICE detector at the LHC is presented. The analysis is motivated by the interest in the measurement of short-lived resonances production that can provide insights on the properties of the medium produced in heavy-ion collisions both during its partonic (Quark-Gluon Plasma) and hadronic phase. This particular analysis exploits particle identification of the ALICE Time-Of-Flight detector. The ALICE experiment is presented, with focus on the performance of the Time-Of-Flight system. The aspects of calibration and data quality controls are discussed in detail, while illustrating the excellent and very stable performance of the system in different collision environments at the LHC. A full analysis of the K*0 resonance production is presented: from the resonance reconstruction to the determination of the efficiency and the systematic uncertainty. The results show that the analysis strategy discussed is a valid tool to measure the K∗0 up to intermediate momenta. Preliminary results on K*0 resonance production at the LHC are presented and confirmed to be a powerful tool to study the physics of ultra-relativistic heavy-ion collisions.

Correlations and Quantum Dynamics of 1D Fermionic Models: New Results for the Kitaev Chain with Long-Range Pairing

In the first part of the thesis, we propose an exactly-solvable one-dimensional model for fermions with long-range p-wave pairing decaying with distance as a power law. We studied the phase diagram by analyzing the critical lines, the decay of correlation functions and the scaling of the von Neumann entropy with the system size. We found two gapped regimes, where correlation functions decay (i) exponentially at short range and algebraically at long range, (ii) purely algebraically. In the latter the entanglement entropy is found to diverge logarithmically. Most interestingly, along the critical lines, long-range pairing breaks also the conformal symmetry. This can be detected via the dynamics of entanglement following a quench. In the second part of the thesis we studied the evolution in time of the entanglement entropy for the Ising model in a transverse field varying linearly in time with different velocities. We found different regimes: an adiabatic one (small velocities) when the system evolves according the instantaneous ground state; a sudden quench (large velocities) when the system is essentially frozen to its initial state; and an intermediate one, where the entropy starts growing linearly but then displays oscillations (also as a function of the velocity). Finally, we discussed the Kibble-Zurek mechanism for the transition between the paramagnetic and the ordered phase.

Calcolo delle mappe di fase a partire da elettrogrammi in fibrillazione atriale

L'analisi di fase del segnale si presenta appropriata e di notevole efficacia per l'individuazione di attivazioni in fibrillazione atriale, in quanto permette la valutazione di come queste si generano e si propagano. Dopo aver ottenuto i dati relativi alle attivazioni, è possibile ricostruire delle mappe di fase atriale che possono essere utilizzate dal clinico per individuare i punti in cui cauterizzare. In questo lavoro di tesi sono stati utilizzati i segnali endocavitari atriali acquisiti con un catetere a contatto di nuova generazione per ottenere gli istanti di attivazione nelle diverse zone della camera atriale. I risultati dell'algoritmo messo a punto e testato su segnali in ritmo sinusale, sono stati confrontati con le performance di due metodi riportati in letteratura, evidenziando prestazioni migliori che potrebbero portare alla costruzione accurata delle mappe di fase e quindi ad una precisa localizzazione delle aree da cauterizzare durante la procedura di ablazione.

Valutazione della coordinazione motoria negli adolescenti: Analisi quantitativa mediante sensori inerziali

Introduzione: Le capacità coordinative possono essere dedotte dalle performance del movimento e possono subire un momentaneo peggioramento in seguito ad una rapida crescita in soggetti adolescenti. Attualmente la valutazione dei test motori è di tipo qualitativo o semi-quantitativo. Obiettivi: Somministrazione di test di valutazione della coordinazione motoria a soggetti adolescenti, in versione strumentata mediante sensori inerziali ed estrazione di parametri quantitativi. Valutazione della sensibilità di tali parametri ai gruppi di performance e variazione degli stessi in seguito ad uno scatto di crescita. Metodi: Ragazzi e ragazze di primo liceo (età media 15 anni) hanno indossato tre IMUs, posizionate sul tronco e attorno alle caviglie, ed hanno eseguito tre test per la valutazione della coordinazione motoria: il test della cicogna cieca, il test dell’accovacciamento, e una prova di tandem gait. Cinque mesi dopo i ragazzi cresciuti hanno ripetuto la prova di tandem gait. Risultati: I parametri scelti sono risultati sensibili alle differenze tra i gruppi di performance per due delle tre prove proposte (il test della cicogna e l’accovacciamento). Per la prova di tandem gait non sono state riscontrate differenze significative nei valori dei parametri. Conclusione: Dai risultati preliminari è emerso come i sensori inerziali possano essere utili nel guidare l’osservatore verso una valutazione oggettiva dei test motori, in particolare grazie al sensore posizionato sul tronco. Si ritiene necessario condurre prove ulteriori per standardizzare e migliorare i metodi proposti. Per la prova di tandem gait, per la quale non sono stati ottenuti risultati significativi, si suggerisce di continuare a seguire i ragazzi nella crescita, ed eventualmente aggiungere un task cognitivo alla prova.

Experimental set up and characterization of a prototype for breast microwave imaging

Nella presente tesi è stato sviluppato un sistema di acquisizione automatico finalizzato allo studio del breast microwave imaging. Le misure sono state eseguite in configurazione monostatica, in cui viene acquisito un segnale da diverse posizioni lungo il perimetro dell’area di indagine. A questo scopo, è stato installato un motore ad alta precisione che permette la rotazione del fantoccio e l’esecuzione automatica delle misure da un numero di posizioni fissato. Per automatizzare il processo di acquisizione, è stato inoltre sviluppato appositamente un software in ambiente LabView. Successivamente, è stata eseguita una intensa sessione di misure finalizzate alla caratterizzazione del sistema sviluppato al variare delle condizioni di misura. Abbiamo quindi utilizzato dei fantocci di tumore di diverse dimensioni e permittività elettrica per studiare la sensibilità della strumentazione in condizione di mezzo omogeneo. Dall’analisi delle ricostruzioni multifrequenza effettuate tramite diversi algoritmi di tipo TR-MUSIC sul range di frequenze selezionato, abbiamo notato che il tumore è ricostruito correttamente in tutti gli scenari testati. Inoltre, abbiamo creato un ulteriore fantoccio per simulare la presenza di una disomogeneità nel dominio di imaging. In questo caso, abbiamo studiato le performances del sistema di acquisizione al variare della posizione del tumore, le cui caratteristiche sono state fissate, e della permittività associata al fantoccio. Dall’analisi dei risultati appare che le performances di ricostruzione sono condizionate dalla presenza della disomogeneità, in modo particolare se il tumore è posizionato all’interno di essa. Infine, abbiamo studiato delle performance di due algoritmi di ricostruzione 3D: uno di essi è basato sulla sovrappo- sizione tomografica e sfrutta metodi di interpolazione, l’altro si basa sull’utilizzo di un propagatore 3D per il dipolo Hertziano in approssimazione scalare.

Genuine cross-correlations: Which surrogate based measure reproduces analytical results best?

The analysis of short segments of noise-contaminated, multivariate real world data constitutes a challenge. In this paper we compare several techniques of analysis, which are supposed to correctly extract the amount of genuine cross-correlations from a multivariate data set. In order to test for the quality of their performance we derive time series from a linear test model, which allows the analytical derivation of genuine correlations. We compare the numerical estimates of the four measures with the analytical results for different correlation pattern. In the bivariate case all but one measure performs similarly well. However, in the multivariate case measures based on the eigenvalues of the equal-time cross-correlation matrix do not extract exclusively information about the amount of genuine correlations, but they rather reflect the spatial organization of the correlation pattern. This may lead to failures when interpreting the numerical results as illustrated by an application to three electroencephalographic recordings of three patients suffering from pharmacoresistent epilepsy.

A metabolomic approach to the metabolism of the areca nut alkaloids arecoline and arecaidine in the mouse

The areca alkaloids comprise arecoline, arecaidine, guvacoline, and guvacine. Approximately 600 million users of areca nut products, for example, betel quid chewers, are exposed to these alkaloids, principally arecoline and arecaidine. Metabolism of arecoline (20 mg/kg p.o. and i.p.) and arecaidine (20 mg/kg p.o. and i.p.) was investigated in the mouse using a metabolomic approach employing ultra-performance liquid chromatography-time-of-flight mass spectrometric analysis of urines. Eleven metabolites of arecoline were identified, including arecaidine, arecoline N-oxide, arecaidine N-oxide, N-methylnipecotic acid, N-methylnipecotylglycine, arecaidinylglycine, arecaidinylglycerol, arecaidine mercapturic acid, arecoline mercapturic acid, and arecoline N-oxide mercapturic acid, together with nine unidentified metabolites. Arecaidine shared six of these metabolites with arecoline. Unchanged arecoline comprised 0.3-0.4%, arecaidine 7.1-13.1%, arecoline N-oxide 7.4-19.0%, and N-methylnipecotic acid 13.5-30.3% of the dose excreted in 0-12 h urine after arecoline administration. Unchanged arecaidine comprised 15.1-23.0%, and N-methylnipecotic acid 14.8%-37.7% of the dose excreted in 0-12 h urine after arecaidine administration. The major metabolite of both arecoline and arecaidine, N-methylnipecotic acid, is a novel metabolite arising from carbon-carbon double-bond reduction. Another unusual metabolite found was the monoacylglyceride of arecaidine. What role, if any, that is played by these uncommon metabolites in the toxicology of arecoline and arecaidine is not known. However, the enhanced understanding of the metabolic transformation of arecoline and arecaidine should contribute to further research into the clinical toxicology of the areca alkaloids.

Bridging hyperacute liver failure by ABO-incompatible auxiliary partial orthotopic liver transplantation

Uncontrollable intracranial pressure elevation in hyperacute liver failure often proves fatal if no suitable liver for transplantation is found in due time. Both ABO-compatible and auxiliary partial orthotopic liver transplantation have been described to control such scenario. However, each method is associated with downsides in terms of immunobiology, organ availability and effects on the overall waiting list.

Radiation metabolomics. 1. Identification of minimally invasive urine biomarkers for gamma-radiation exposure in mice

Gamma-radiation exposure has both short- and long-term adverse health effects. The threat of modern terrorism places human populations at risk for radiological exposures, yet current medical countermeasures to radiation exposure are limited. Here we describe metabolomics for gamma-radiation biodosimetry in a mouse model. Mice were gamma-irradiated at doses of 0, 3 and 8 Gy (2.57 Gy/min), and urine samples collected over the first 24 h after exposure were analyzed by ultra-performance liquid chromatography-time-of-flight mass spectrometry (UPLC-TOFMS). Multivariate data were analyzed by orthogonal partial least squares (OPLS). Both 3- and 8-Gy exposures yielded distinct urine metabolomic phenotypes. The top 22 ions for 3 and 8 Gy were analyzed further, including tandem mass spectrometric comparison with authentic standards, revealing that N-hexanoylglycine and beta-thymidine are urinary biomarkers of exposure to 3 and 8 Gy, 3-hydroxy-2-methylbenzoic acid 3-O-sulfate is elevated in urine of mice exposed to 3 but not 8 Gy, and taurine is elevated after 8 but not 3 Gy. Gene Expression Dynamics Inspector (GEDI) self-organizing maps showed clear dose-response relationships for subsets of the urine metabolome. This approach is useful for identifying mice exposed to gamma radiation and for developing metabolomic strategies for noninvasive radiation biodosimetry in humans.

Sustained attention in children with two etiologies of early hydrocephalus.

Several studies have shown that children with spina bifida meningomyelocele (SBM) and hydrocephalus have attention problems on parent ratings and difficulties in stimulus orienting associated with a posterior brain attention system. Less is known about response control and inhibition associated with an anterior brain attention system. Using the Gordon Vigilance Task (Gordon, 1983), we studied error rate, reaction time, and performance over time for sustained attention, a key anterior attention function, in 101 children with SBM, 17 with aqueductal stenosis (AS; another condition involving congenital hydrocephalus), and 40 typically developing controls (NC). In SBM, we investigated the relation between cognitive attention and parent ratings of inattention and hyperactivity and explored the impact of medical variables. Children with SBM did not differ from AS or NC groups on measures of sustained attention, but they committed more errors and responded more slowly. Approximately one-third of the SBM group had attention symptoms, although parent attention ratings were not associated with task performance. Hydrocephalus does not account for the attention profile of children with SBM, which also reflects the distinctive brain dysmorphologies associated with this condition.

Patient-Specific Semi-Supervised Learning for Postoperative Brain Tumor Segmentation

In contrast to preoperative brain tumor segmentation, the problem of postoperative brain tumor segmentation has been rarely approached so far. We present a fully-automatic segmentation method using multimodal magnetic resonance image data and patient-specific semi-supervised learning. The idea behind our semi-supervised approach is to effectively fuse information from both pre- and postoperative image data of the same patient to improve segmentation of the postoperative image. We pose image segmentation as a classification problem and solve it by adopting a semi-supervised decision forest. The method is evaluated on a cohort of 10 high-grade glioma patients, with segmentation performance and computation time comparable or superior to a state-of-the-art brain tumor segmentation method. Moreover, our results confirm that the inclusion of preoperative MR images lead to a better performance regarding postoperative brain tumor segmentation.