Multi-q pattern analysis: A case study in image classification

This paper compares the effectiveness of the Tsallis entropy over the classic Boltzmann-Gibbs-Shannon entropy for general pattern recognition, and proposes a multi-q approach to improve pattern analysis using entropy. A series of experiments were carried out for the problem of classifying image patterns. Given a dataset of 40 pattern classes, the goal of our image case study is to assess how well the different entropies can be used to determine the class of a newly given image sample. Our experiments show that the Tsallis entropy using the proposed multi-q approach has great advantages over the Boltzmann-Gibbs-Shannon entropy for pattern classification, boosting image recognition rates by a factor of 3. We discuss the reasons behind this success, shedding light on the usefulness of the Tsallis entropy and the multi-q approach. (C) 2012 Elsevier B.V. All rights reserved.

The presence of a booster phenomenon among contacts of active pulmonary tuberculosis cases: a retrospective cohort

Abstract Background Assuming a higher risk of latent tuberculosis (TB) infection in the population of Rio de Janeiro, Brazil, in October of 1998 the TB Control Program of Clementino Fraga Filho Hospital (CFFH) routinely started to recommend a two-step tuberculin skin test (TST) in contacts of pulmonary TB cases in order to distinguish a boosting reaction due to a recall of delayed hypersensitivity previously established by infection with Mycobacterium tuberculosis (M.tb) or BCG vaccination from a tuberculin conversion. The aim of this study was to assess the prevalence of boosted tuberculin skin tests among contacts of individuals with active pulmonary tuberculosis (TB). Methods Retrospective cohort of TB contacts ≥ 12 years old who were evaluated between October 1st, 1998 and October 31st 2001. Contacts with an initial TST ≤ 4 mm were considered negative and had a second TST applied after 7–14 days. Boosting reaction was defined as a second TST ≥ 10 mm with an increase in induration ≥ 6 mm related to the first TST. All contacts with either a positive initial or repeat TST had a chest x-ray to rule out active TB disease, and initially positive contacts were offered isoniazid preventive therapy. Contacts that boosted did not receive treatment for latent TB infection and were followed for 24 months to monitor the development of TB. Statistical analysis of dichotomous variables was performed using Chi-square test. Differences were considered significant at a p < 0.05. Results Fifty four percent (572/1060) of contacts had an initial negative TST and 79% of them (455/572) had a second TST. Boosting was identified in 6% (28/455). The mean age of contacts with a boosting reaction was 42.3 ± 21.1 and with no boosting was 28.7 ± 21.7 (p = 0.01). Fifty percent (14/28) of individuals whose test boosted met criteria for TST conversion on the second TST (increase in induration ≥ 10 mm). None of the 28 contacts whose reaction boosted developed TB disease within two years following the TST. Conclusion The low number of contacts with boosting and the difficulty in distinguishing boosting from TST conversion in the second TST suggests that the strategy of two-step TST testing among contacts of active TB cases may not be useful. However, this conclusion must be taken with caution because of the small number of subjects followed.

Improve protective efficacy of a TB DNA-HSP65 vaccine by BCG priming

Vaccines are considered by many to be one of the most successful medical interventions against infectious diseases. But many significant obstacles remain, such as optimizing DNA vaccines for use in humans or large animals. The amount of doses, route and easiness of administration are also important points to consider in the design of new DNA vaccines. Heterologous prime-boost regimens probably represent the best hope for an improved DNA vaccine strategy. In this study, we have shown that heterologous prime-boost vaccination against tuberculosis (TB) using intranasal BCG priming/DNA-HSP65 boosting (BCGin/DNA) provided significantly greater protection than that afforded by a single subcutaneous or intranasal dose of BCG. In addition, BCGin/DNA immunization was also more efficient in controlling bacterial loads than were the other prime-boost schedules evaluated or three doses of DNA-HSP65 as a naked DNA. The single dose of DNA-HSP65 booster enhanced the immunogenicity of a single subcutaneous BCG vaccination, as evidenced by the significantly higher serum levels of anti-Hsp65 IgG2a Th1-induced antibodies, as well as by the significantly greater production of IFN-γ by antigen-specific spleen cells. The BCG prime/DNA-HSP65 booster was also associated with better preservation of lung parenchyma.

3C 273 variability at 7 mm: evidence of shocks and precession in the jet

We report on four years of observations of 3C 273 at 7mm obtained with the Itapetinga radio telescope, in Brazil, between 2009 and 2013. We detected a flare in 2010 March, when the flux density increased by 50 per cent and reached 35 Jy. After the flare, the flux density started to decrease and reached values lower than 10 Jy. We suggest that the 7-mm flare is the radio counterpart of the γ -ray flare observed by the Fermi Large Area Telescope in 2009 September, in which the flux density at high energies reached a factor of 50 of its average value. A delay of 170 d between the radio and γ -ray flares was revealed using the discrete correlation function (DCF) that can be interpreted in the context of a shock model, in which each flare corresponds to the formation of a compact superluminal component that expands and becomes optically thin at radio frequencies at latter epochs. The differences in flare intensity between frequencies and at different times are explained as a consequence of an increase in the Doppler factor δ, as predicted by the 16-yr precession model proposed by Abraham & Romero. This increase has a large effect on boosting at high frequencies while it does not affect the observed optically thick radio emission too much. We discuss other observable effects of the variation in δ, such as the increase in the formation rate of superluminal components, the variations in the time delay between flares and the periodic behaviour of the radio light curve that we have found to be compatible with changes in the Doppler factor.

A low complexity system based on multiple weighted decision trees for indoor localization

[EN] Indoor position estimation has become an attractive research topic due to growing interest in location-aware services. Nevertheless, satisfying solutions have not been found with the considerations of both accuracy and system complexity. From the perspective of lightweight mobile devices, they are extremely important characteristics, because both the processor power and energy availability are limited. Hence, an indoor localization system with high computational complexity can cause complete battery drain within a few hours. In our research, we use a data mining technique named boosting to develop a localization system based on multiple weighted decision trees to predict the device location, since it has high accuracy and low computational complexity.

"Crop elicitation": approccio innovativo per la valorizzazione delle proprietà funzionali in leguminose da granella

Crop elicitation: innovative approach for the valorization of grain legume functional properties. In Italy grain legume cultivation has encountered a drastic decrease due to several causes (productive, economic, social). In this regard, studies aimed at the setting up of agronomic techniques able to guarantee high and constant in planta yields of health-promoting compounds may concur at re-launching legume production. In this context, 22 accessions of grain legumes (17 Phaseolus vulgaris, 3 Phaseolus coccineus, 1 Vigna unguiculata and 1 Glycine max genotypes) were screened with the aim of identifying genotypes rich in health beneficial phytochemicals (α-amylase inhibitors, α -glucosidase inhibitors, polyphenols) and with low anti-nutritional compounds (lectins). A wide variability was observed among investigated accessions. Four genotypes (Verdone, Kidney Cina, Roviotto and DG) showed a α -amylase inhibitory activity significantly higher (approximately 30% more) than all other tested accessions. The α -amylase inhibitory activity was not correlated neither with the protein nor with the polyphenol contents. Conversely, the α -glucosidase inhibitory activity was positively correlated with grain color and polyphenol content: dark-colored seeds had a mean inhibitory activity of 83.64 ± 22.07%, whereas light-colored seeds had mean values of 21.11 ± 9.36%. As regards the anti-nutritional compounds, out of all common bean accessions, only DG showed no erythro-agglutination activity (lectins). Preliminary experiments, performed in controlled environment, permitted to highlight that different germination conditions markedly affect the synthesis and accumulation of functional compounds in legume seedlings. Those findings were confirmed with field trials performed in two different locations (Bologna and Pisa), on two bean genotypes (Verdone and Zolfino), during the 2004-2005 cropping season. Results showed that the application of abiotic stresses (no fertilization and /or no irrigation) lead to a significant increase of flavonoids in grains, but a decrease (up to 50%) in legume yields was also observed. Crop elicitation, even if valuable for boosting health-promoting compound synthesis in crops, must necessary cope with economically acceptable crop yields.

Studio degli effetti funzionali e tossici di derivati di Brassicaceae in modelli sperimentali

I vegetali appartenenti alla famiglia delle Brassicaceae, sono ricchi di molecole biologicamente attive note per le numerose proprietà salutari. L’effetto di un estratto di germogli di cavolo nero toscano (TBCSE) è stato investigato, in termini chemiopreventivi, sugli enzimi epatici del metabolismo degli xenobiotici e antiossidanti, in ratti trattati con TBCSE. I risultati hanno mostrato un complesso pattern di modulazione, con una prevalente inibizione, del sistema citocromo P450-dipendente, e induzioni significative degli enzimi di fase II (glutatione transferasi e glucuronosiltransferasi) e antiossidanti (catalasi, NAD(P)H:chinone reduttasi, glutatione reduttasi e perossidasi). Successivamente, l’effetto di TBCSE è stato studiato nei confronti delle alterazioni provocate da un’alimentazione iperlipidica nel ratto. Il trattamento si è dimostrato efficace nel contrastare gli effetti deleteri dei grassi presenti nella dieta, come l’iperlipidemia, l’aumento del peso corporeo e del fegato, l’indebolimento delle attività degli enzimi antiossidanti e del potenziale detossificante a livello epatico. Complessivamente, TBCSE emerge essere un promettente prodotto nutraceutico con potenziali effetti chemiopreventivi, e da impiegare come strategia alimentare per contrastare gli effetti correlati ad una dieta iperlipidica. Il consumo di dosi sovralimentari di molecole isolate dalle Brassicaceae, tramite per esempio integratori dietetici, come strategia alimentare preventiva, potrebbe tuttavia rappresentare un rischio per la salute. La potenziale tossicità del sulforafane, glucorafanina, indolo-3-carbinolo, e 3,3'-diindolimetano, è stata valutata in epatociti primari di ratto. La citotossicità e l’induzione di stress ossidativo, osservate a concentrazioni non lontane da quelle che potrebbero essere raggiunte in vivo, insieme ad una forte modulazione dell’espressione genica, riguardante principalmente il metabolismo degli xenobiotici, risposte ad alterazioni dello stato ossidoredutivo, eventi di riparazione del DNA e di proteine, induzione dell’apoptosi, e meccanismi (co)cancerogeni, sottolineano la potenzialità di queste molecole di determinare un rischio tossicologico, in seguito ad un’assunzione prolungata e ad alte dosi.

Ricerca dell'emissione alle alte energie da parte delle radio galassie fri e frii

Lo scenario di unificazione degli AGN caratterizza le molteplici proprietà di questi oggetti in termini del differente angolo di vista rispetto ad un sistema costituito da un toro oscurante, un disco di accrescimento che alimenta il SMBH e nubi di gas che circondano il buco nero. Circa il 10% degli AGN sono forti sorgenti radio. Questi oggetti, detti AGN Radio-Loud, sono caratterizzati da getti relativistici emessi trasversalmente rispetto al disco di accrescimento e comprendono le radio galassie e i blazar. In accordo con il modello unificato, le radio galassie (MAGN), rappresentano i blazar visti a grandi angoli di inclinazione del getto rispetto alla linea di vista. Nei blazar la radiazione emessa dai getti su scale del pc viene amplificata da effetti relativistici dando origine a spettri piatti con elevata polarizzazione ottica e forte variabilità. Questi oggetti rappresentano le sorgenti più brillanti identificate nel cielo gamma extragalattico. I MAGN, a differenza dei blazar, mostrano spettri ripidi e strutture radio quasi simmetriche. In queste sorgenti, l'effetto del Doppler boosting è meno evidente a causa del grande angolo di inclinazione del getto. In soli 3 mesi di osservazioni scientifiche effettuate con il satellite Fermi è stata rivelata emissione gamma da parte delle radio galassie NGC 1275 e Cen A. I MAGN rappresentano una nuova classe di sorgenti gamma. Tuttavia, il numero di radio galassie rivelate è sorprendentemente piccolo ponendo degli interrogativi sui meccanismi di emissione alle alte energie di questi oggetti. Nel presente lavoro di tesi, si analizzeranno i dati gamma raccolti dal LAT durante i primi 5 anni di osservazioni scientifiche per un campione di 10 radio galassie più brillanti selezionate dai cataloghi B2 e BCS. L'obiettivo principale sarà migliorare la statistica e cercare di comprendere la natura dell'emissione alle alte energie da parte delle radio galassie.

A multi-objective genetic algorithm optimisation using variable speed pumps in water distribution systems

Due to its practical importance and inherent complexity, the optimisation of distribution networks for supplying drinking water has been the subject of extensive study for the past 30 years. The optimization is governed by sizing the pipes in the water distribution network (WDN) and / or optimises specific parts of the network such as pumps, tanks etc. or try to analyse and optimise the reliability of a WDN. In this thesis, the author has analysed two different WDNs (Anytown City and Cabrera city networks), trying to solve and optimise a multi-objective optimisation problem (MOOP). The main two objectives in both cases were the minimisation of Energy Cost (€) or Energy consumption (kWh), along with the total Number of pump switches (TNps) during a day. For this purpose, a decision support system generator for Multi-objective optimisation used. Its name is GANetXL and has been developed by the Center of Water System in the University of Exeter. GANetXL, works by calling the EPANET hydraulic solver, each time a hydraulic analysis has been fulfilled. The main algorithm used, was a second-generation algorithm for multi-objective optimisation called NSGA_II that gave us the Pareto fronts of each configuration. The first experiment that has been carried out was the network of Anytown city. It is a big network with a pump station of four fixed speed parallel pumps that are boosting the water dynamics. The main intervention was to change these pumps to new Variable speed driven pumps (VSDPs), by installing inverters capable to diverse their velocity during the day. Hence, it’s been achieved great Energy and cost savings along with minimisation in the number of pump switches. The results of the research are thoroughly illustrated in chapter 7, with comments and a variety of graphs and different configurations. The second experiment was about the network of Cabrera city. The smaller WDN had a unique FS pump in the system. The problem was the same as far as the optimisation process was concerned, thus, the minimisation of the energy consumption and in parallel the minimisation of TNps. The same optimisation tool has been used (GANetXL).The main scope was to carry out several and different experiments regarding a vast variety of configurations, using different pump (but this time keeping the FS mode), different tank levels, different pipe diameters and different emitters coefficient. All these different modes came up with a large number of results that were compared in the chapter 8. Concluding, it should be said that the optimisation of WDNs is a very interested field that has a vast space of options to deal with. This includes a large number of algorithms to choose from, different techniques and configurations to be made and different support system generators. The researcher has to be ready to “roam” between these choices, till a satisfactory result will convince him/her that has reached a good optimisation point.

Effetti relativistici in astrofisica

La prima parte di questa trattazione è dedicata alla descrizione di due importanti processi di emissione non termici, ovvero la radiazione di Sincrotrone e l’effetto Compton Inverso, poi verranno confrontati e sarà stabilito il limite massimo di temperatura di una radiosorgente. La seconda parte tratta di alcuni effetti che si verificano nel caso di sorgenti in movimento a velocità relativistiche, cioè effetto Doppler relativistico, moti superluminali e Doppler Boosting. Infine mostrerò come questi effetti relativistici, in particolare il Doppler Boosting, in combinazione con l’opacità dei fotoni-γ diano un’evidenza indiretta che per i lampi-γ e in oggetti come i Nuclei Galattici Attivi vi sia emissione di materiale relativistico.

Sviluppo di un sistema di sovralimentazione assistito elettricamente per un motore diesel 3.0L V6 ad alta potenza specifica

Questa tesi di laurea nasce dall’esperienza maturata presso l’azienda FCA Italy (Fiat Chrysler Automobiles S.p.A., ex VM Motori) nello stabilimento situato a Cento in provincia di Ferrara, in particolare all’interno dell’ufficio di Ricerca Avanzata CRM (Centro Ricerca Motori), divisione del reparto R&D (Research and Development). Tale esperienza viene riassunta (in piccola parte) in questo elaborato di Tesi, che tratta tematiche inerenti allo sviluppo di un sistema di sovralimentazione assistito elettricamente, applicato ad un propulsore Diesel 3.0L V6 destinato ai segmenti “Premium” del mercato. Il sistema utilizzato, che ha come componente principale un compressore attuato da una macchina elettrica, appartiene all’insieme delle tecnologie cosiddette di e-boosting. Questo tipo di tecnologia, fortemente innovativa e ad oggi non ancora presente sul mercato, ha le potenzialità per rappresentare un significativo passo avanti nel processo di riduzione delle emissioni, dei consumi e del miglioramento delle performance dei moderni motori endotermici alternativi, al punto che un numero crescente di costruttori di motori sta oggi studiando soluzioni come quella oggetto di questo elaborato. L’obiettivo è stato quindi quello di definire, applicare e gestire il sistema di e-boost a banco motore e, successivamente, caratterizzarlo dal punto di vista energetico e testarne le effettive potenzialità. Le fasi in cui ho apportato il mio contributo sono state, in particolare, quelle di definizione e integrazione dei nuovi componenti all’interno del layout motore preesistente, di realizzazione e implementazione delle strategie di controllo in un sistema dedicato in grado di gestire efficacemente i componenti, e di sperimentazione al banco prova. I risultati conseguiti al termine dell’attività sono quindi inerenti allo sviluppo e validazione del sistema di controllo, alla valutazione delle performance del propulsore risultante e alla caratterizzazione e analisi critica del sistema di e-boost dal punto di vista energetico.

Applying the reactive programming paradigm: Toward a more declarative application development approach

After almost 10 years from “The Free Lunch Is Over” article, where the need to parallelize programs started to be a real and mainstream issue, a lot of stuffs did happened: • Processor manufacturers are reaching the physical limits with most of their approaches to boosting CPU performance, and are instead turning to hyperthreading and multicore architectures; • Applications are increasingly need to support concurrency; • Programming languages and systems are increasingly forced to deal well with concurrency. This thesis is an attempt to propose an overview of a paradigm that aims to properly abstract the problem of propagating data changes: Reactive Programming (RP). This paradigm proposes an asynchronous non-blocking approach to concurrency and computations, abstracting from the low-level concurrency mechanisms.

Preexisting BCG-specific T cells improve intravesical immunotherapy for bladder cancer

Therapeutic intravesical instillation of bacillus Calmette-Guérin (BCG) is effective at triggering inflammation and eliciting successful tumor immunity in patients with non-muscle invasive bladder cancer, with 50 to 70% clinical response. Therapeutic success relies on repeated instillations of live BCG administered as adjuvant therapy shortly after tumor resection; however, the precise mechanisms remain unclear. Using an experimental model, we demonstrate that after a single instillation, BCG could disseminate to bladder draining lymph nodes and prime interferon-γ-producing T cells. Nonetheless, repeated instillations with live BCG were necessary for a robust T cell infiltration into the bladder. Parenteral exposure to BCG before instillation overcame this requirement; after the first intravesical instillation, BCG triggered a more robust acute inflammatory process and accelerated T cell entry into the bladder, as compared to the standard protocol. Moreover, parenteral exposure to BCG before intravesical treatment of an orthotopic tumor markedly improved response to therapy. Indeed, patients with sustained preexisting immunity to BCG showed a significant improvement in recurrence-free survival. Together, these data suggest that monitoring patients' response to purified protein derivative, and, in their absence, boosting BCG responses by parenteral exposure before intravesical treatment initiation, may be a safe and effective means of improving intravesical BCG-induced clinical responses.

A Data-Analytic Strategy for Protein-Biomarker Discovery: Profiling of High-Dimensional Proteomic Data for Cancer Detection

With recent advances in mass spectrometry techniques, it is now possible to investigate proteins over a wide range of molecular weights in small biological specimens. This advance has generated data-analytic challenges in proteomics, similar to those created by microarray technologies in genetics, namely, discovery of "signature" protein profiles specific to each pathologic state (e.g., normal vs. cancer) or differential profiles between experimental conditions (e.g., treated by a drug of interest vs. untreated) from high-dimensional data. We propose a data analytic strategy for discovering protein biomarkers based on such high-dimensional mass-spectrometry data. A real biomarker-discovery project on prostate cancer is taken as a concrete example throughout the paper: the project aims to identify proteins in serum that distinguish cancer, benign hyperplasia, and normal states of prostate using the Surface Enhanced Laser Desorption/Ionization (SELDI) technology, a recently developed mass spectrometry technique. Our data analytic strategy takes properties of the SELDI mass-spectrometer into account: the SELDI output of a specimen contains about 48,000 (x, y) points where x is the protein mass divided by the number of charges introduced by ionization and y is the protein intensity of the corresponding mass per charge value, x, in that specimen. Given high coefficients of variation and other characteristics of protein intensity measures (y values), we reduce the measures of protein intensities to a set of binary variables that indicate peaks in the y-axis direction in the nearest neighborhoods of each mass per charge point in the x-axis direction. We then account for a shifting (measurement error) problem of the x-axis in SELDI output. After these pre-analysis processing of data, we combine the binary predictors to generate classification rules for cancer, benign hyperplasia, and normal states of prostate. Our approach is to apply the boosting algorithm to select binary predictors and construct a summary classifier. We empirically evaluate sensitivity and specificity of the resulting summary classifiers with a test dataset that is independent from the training dataset used to construct the summary classifiers. The proposed method performed nearly perfectly in distinguishing cancer and benign hyperplasia from normal. In the classification of cancer vs. benign hyperplasia, however, an appreciable proportion of the benign specimens were classified incorrectly as cancer. We discuss practical issues associated with our proposed approach to the analysis of SELDI output and its application in cancer biomarker discovery.

Dextran sulfate facilitates anti-CD4 mAb-induced long-term rat cardiac allograft survival after prolonged cold ischemia

Ischemia/reperfusion injury leads to activation of graft endothelial cells (EC), boosting antigraft immunity and impeding tolerance induction. We hypothesized that the complement inhibitor and EC-protectant dextran sulfate (DXS, MW 5000) facilitates long-term graft survival induced by non-depleting anti-CD4 mAb (RIB 5/2). Hearts from DA donor rats were heterotopically transplanted into Lewis recipients treated with RIB 5/2 (20 mg/kg, days-1,0,1,2,3; i.p.) with or without DXS (grafts perfused with 25 mg, recipients treated i.v. with 25 mg/kg on days 1,3 and 12.5 mg/kg on days 5,7,9,11,13,15). Cold graft ischemia time was 20 min or 12 h. Median survival time (MST) was comparable between RIB 5/2 and RIB 5/2+DXS-treated recipients in the 20-min group with >175-day graft survival. In the 12-h group RIB 5/2 only led to chronic rejection (MST = 49.5 days) with elevated alloantibody response, whereas RIB 5/2+DXS induced long-term survival (MST >100 days, p < 0.05) with upregulation of genes related to transplantation tolerance. Analysis of the 12-h group treated with RIB 5/2+DXS at 1-day posttransplantation revealed reduced EC activation, complement deposition and inflammatory cell infiltration. In summary, DXS attenuates I/R-induced acute graft injury and facilitates long-term survival in this clinically relevant transplant model.