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.

The Role of a Non-Governmental Organization in the Improvement of Employment in Finland: A Case Study

This study discusses one Non-Governmental Organization (NGO) as an alternative institution for the improvement of employment in a Finnish city. Empirical data was collected from 16 employees and from an official of the organization using questionnaires, interviews and participant observation. The data was analyzed qualitatively and the findings revealed that, the organization plays complementary role in cooperating with the government to provide social services to underprivileged groups of people, through which the organization is able to create jobs for long-term unemployed people in the city of Jyväskylä. However, the skill development training of the organization was found to be inadequate for boosting the employability of their employees in the open labour market, once the latter’s 1-2 year contract ended. The study concluded that for the organization to become a viable alternative institution for the improvement of employment in the city of Jyväskylä, it must improve the skill development training of their employees, as well as increase collaboration with other actors that are working towards the same goals.

The Role of a Non-Governmental Organization in the Improvement of Employment in Finland: A Case Study

This study discusses one Non-Governmental Organization (NGO) as an alternative institution for the improvement of employment in a Finnish city. Empirical data was collected from 16 employees and from an official of the organization using questionnaires, interviews and participant observation. The data was analyzed qualitatively and the findings revealed that, the organization plays complementary role in cooperating with the government to provide social services to underprivileged groups of people, through which the organization is able to create jobs for long-term unemployed people in the City of Jyväskylä. However, the skill development training of the organization was found to be inadequate for boosting the employability of their employees in the open labour market, once their 1-2 year contract ended. The study concluded that for the organization to become a viable alternative institution for the improvement of employment in the City of Jyväskylä, it must improve the skill development training of their employees, as well as increase collaboration with other actors that are working towards the same goals.

Decreasing risk of hepatitis a infection in león, nicaragua: evidence from cross-sectional and longitudinal seroepidemiology studies

BACKGROUND AND OBJECTIVES Nicaragua is highly endemic for hepatitis A. We aimed to provide an estimate of the change in the age-specific risk of hepatitis A virus (HAV) infection based on serological data from cross-sectional and longitudinal samples collected in León, Nicaragua, in 1995/96 (n = 979) and 2003 (n = 494). METHODS The observed age-specific prevalence of anti-HAV antibodies was correlated to the age-specific risk of infection by calculating the probability of freedom from infection at a specific age. RESULTS The proportion of seropositive children aged 1.5 to 6 years was 42% in 2003 compared to 67% in 1995/96. Estimated annual risk of infection for a 3-year old child was 30% (95% CI: 27.0%, 33.1%) in 1995 and 15.5% (95% CI: 12.4%, 19.0%) in 2003. There was good agreement between estimates based on cross-sectional and longitudinal data. The age-specific geometric mean of the quantified anti-HAV antibody levels assessed in 2003 was highest at age 4 and decreased steadily up to age 40. CONCLUSIONS The substantially lower risk of HAV infection in 2003 than in 1995 for young children indicates a beginning transition from high to intermediate endemicity in León, Nicaragua. Consecutive age-stratified serosurveys are useful to assess changes in risk of infection following public health interventions. The decreasing age-specific GMC of anti-HAV antibodies during adulthood in a country with endemic HAV indirectly suggests that ongoing HAV exposure in the community has marginal boosting effect on antibody levels once protective immunity has been established by natural infection.

CHARACTERIZATION OF ALPHA-GALACTOSYLCERAMIDE AS A MUCOSAL ADJUVANT

Adjuvants are essential components of vaccine formulations that enhance adaptive immune responses to antigens, particularly for immunizations targeting the tolerogenic mucosal tissues, which are more biologically relevant for protective immunity against pathogens transmitted by the mucosal routes. Adjuvants possess the inherent capacity to bridge innate and adaptive immune responses through activating innate immune mediators. Here evidence is presented in support of the effectiveness of a synthetic glycolipid, alpha-Galactosylceramide (-GalCer), as an adjuvant for mucosal immunization with peptide and protein antigens, by oral and intranasal routes, to prime antigen-specific immune responses in multiple systemic and mucosal compartments. The adjuvant activity of -GalCer delivered by the intranasal route was manifested in terms of potent activation of NKT cells, an important innate immunity mediator, along with the activation of dendritic cells (DC) which serve as the professional antigen-presenting cells. Data from this investigation provide the first evidence for mucosal delivery as an effective means to harness the adjuvant potential of α-GalCer for priming as well as boosting cellular immune responses to co-administered immunogens. Unlike systemic administration where a single dose of α-GalCer leads to anergy of responding NKT cells and thus hinders delivery of booster immunizations, we demonstrated that administration of multiple doses of α-GalCer by the intranasal route affords repeated activation of NKT cells and the induction of broad systemic and mucosal immunity. This is specifically advantageous, and may be even essential, for vaccination regimens against mucosal pathogens such as the human immunodeficiency virus (HIV) and the human papillomavirus (HPV), where priming of durable protective immunity at the mucosal portals of pathogen entry would be highly desirable.