921 resultados para Energy-based model


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The reason of this work is perform a study about using of electrical energy to identify the opportunities through rational use of electrical energy. For that it was necessary perform an analysis of hired energy against consumption. Based in a guide of energy analysis were found the main consumers and verified the main problems, which generate excessive use of electrical energy in a plastic injection factory. It was also analyzed the painting line because there are some thermal equipment that use electrical energy. Based on the data obtained will be proposed ways to reduce the needless consumption and energy use of rationally and efficiently, in addition to re-evaluate the contracted demand based on the new policy of supplying and charging.It were also proposed thermodynamics solutions to reduce the energy consumed in thermal process

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This paper reports a master research that aimed to analyze the patterns of institutional relationships between local officials and communities of agrarian reform settlements in four counties of the State of São Paulo – Apiaí, Iaras, Promissão and Mirante do Paranapanema – particularly with regard to the types of support offered by the first to the economic activities in the settlements. In terms of methodology, we conducted a qualitative, exploratory and descriptive research, outlined in the format of multiple case study. Having like data sources the local officials responsible for institutional relations with the agrarian reform settlements, technicians agents of agencys linkeds to the land question, as INCRA and ITESP, and settled in leadership positions in rural settlements, we sought to evaluate the intensity, the types and quality of the (possible or actual) support offered by municipalities to economic activities inside the settlements. We sought to evaluate the results from theoretical lens formed around the notions of local development and the significance assumed by settlements in different locations. The results showed a fairly heterogeneous and, often, disparate in particular circumstances. It was evident, from the information collected, that a positive action of the municipal government in supporting the economic activities of the settlements is essential for the release of social energy based in settlements, enabling the realization of the "amalgam of possibilities" constructed from the implementation of rural settlements.

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A collective Hamiltonian for a two alpha particles aggregate, which describes the 8Be nucleus, encompassing a collective potential and an inertia function of that system, is obtained and analyzed through the use of a technique - derived from an approach of the generator coordinate method (GCM) - which allows for the extraction of collective information. The nucleon-nucleon interaction considered here is the one proposed by Volkov plus the Coulomb repulsion. It is shown that nonlocal effects appear in those collective functions describing the spontaneously occurring breakup process. Furthermore, the result for the inertia function stands for a microscopically generated evidence supporting a double-folding-based model of the real part of the nucleus-nucleus nonlocal interaction recently proposed.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Molecular modeling is growing as a research tool in Chemical Engineering studies, as can be seen by a simple research on the latest publications in the field. Molecular investigations retrieve information on properties often accessible only by expensive and time-consuming experimental techniques, such as those involved in the study of radical-based chain reactions. In this work, different quantum chemical techniques were used to study phenol oxidation by hydroxyl radicals in Advanced Oxidation Processes used for wastewater treatment. The results obtained by applying a DFT-based model showed good agreement with experimental values available, as well as qualitative insights into the mechanism of the overall reaction chain. Solvation models were also tried, but were found to be limited for this reaction system within the considered theoretical level without further parameterization.

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A growing body of evidence demonstrates a correlation between Th2 cytokines and the development of focal and segmental glomerulosclerosis ( FSGS). Therefore, we hypothesized that GSL-1, a monoglycosylceramide from Sphingomonas ssp. with pro-Th1 activity on invariant Natural Killer T ( iNKT) lymphocytes, could counterbalance the Th2 profile and modulate glomerulosclerosis. Using an adriamycin( ADM)-based model of FSGS, we found that BALB/c mice presented albuminuria and glomerular degeneration in association with a Th2-like pro-fibrogenic profile; these mice also expressed a combination of inflammatory cytokines, such as IL-4, IL-1 alpha, IL-1 beta, IL-17, TNF-alpha, and chemokines, such as RANTES and eotaxin. In addition, we observed a decrease in the mRNA levels of GD3 synthase, the enzyme responsible for GD3 metabolism, a glycolipid associated with podocyte physiology. GSL-1 treatment inhibited ADM-induced renal dysfunction and preserved kidney architecture, a phenomenon associated with the induction of a Th1-like response, increased levels of GD3 synthase transcripts and inhibition of pro-fibrotic transcripts and inflammatory cytokines. TGF-beta analysis revealed increased levels of circulating protein and tissue transcripts in both ADM- and GSL-1-treated mice, suggesting that TGF-beta could be associated with both FSGS pathology and iNKT-mediated immunosuppression; therefore, we analyzed the kidney expression of phosphorylated SMAD2/3 and SMAD7 proteins, molecules associated with the deleterious and protective effects of TGF-beta, respectively. We found high levels of phosphoSMAD2/3 in ADM mice in contrast to the GSL-1 treated group in which SMAD7 expression increased. These data suggest that GSL-1 treatment modulates the downstream signaling of TGF-beta through a renoprotective pathway. Finally, GSL-1 treatment at day 4, a period when proteinuria was already established, was still able to improve renal function, preserve renal structure and inhibit fibrogenic transcripts. In conclusion, our work demonstrates that the iNKT agonist GSL-1 modulates the pathogenesis of ADM-induced glomerulosclerosis and may provide an alternative approach to disease management.

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Aquaculture of filter-feeding bivalve mollusks involves the fruitful conversion of marine particulate organic matter into premium protein of high nutritive value. Culture performance of bivalves is largely dependent on hydrological conditions and directly affected by e. g. temperature and chlorophyll levels. Accordingly, these parameters may be related with seasonality but also with oceanographic features combined with climate events. Yields of Pacific cupped oyster (Crassostrea gigas) reared at commercial procedures in suspended structures (long-lines) in a sheltered bay in Southern Brazil (Santa Catarina State, 27S 43'; 48 W 30') were evaluated in relation to local environmental conditions: sea surface temperature, chlorophyll a concentration, and associate effects of cold fronts events and El Nino and La Nina periods. Outputs from four consecutive commercial crop years were analyzed (2005/06, 2006/07, 2007/08, 2008/09) in terms of oyster survival and development time during the following grow-out phases of the culture cycle: seed to juvenile, juvenile to adult, adult to marketable. Since culture management and genetics were standardized significant differences verified among crop performance could be mostly related to environmental effects. Time series of temperature and chlorophyll a (remote sensing data) from crop periods displayed significant seasonal and interannual variation. As expected, performance during initial grow-out stages (seed to juvenile) was critical for final crop yield. Temperature was the main factor affecting survival in these initial stages with a trend of negative correlation, though not statistically significant. On the other hand, oyster development rate was significantly and positively affected by chlorophyll a concentration. Chlorophyll a values could be increased by upwelled cold nutrient-rich South Atlantic Central Water (SACW, related to predominant Northern winds) though further dependent on occurrence of Southern winds (cold fronts) to assist seawater penetration into the sheltered farming area. Lower salinity nutrient-rich northward drifted waters from La Plata River discharge may also result in chlorophyll a rise in the farming area. The El Nino period (July 2006 to February 2007) coincided with lower chlorophyll a levels in the farming site that may be related to both decreased number of cold fronts as well as predominance of Northern winds that retain northward spreading of La Plata River discharge waters. In contrast, the La Nina period (August 2007 to June 2008) corresponded to higher chlorophyll a values in the farming area by both upwelling of SACW and penetration of La Plata River discharge water assisted by increased occurrence of Southern winds and cold fronts. The recognition of the potentially changing climate and effects upon the environment will be an important step in planning future development of bivalve aquaculture.

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Molecular modeling is growing as a research tool in Chemical Engineering studies, as can be seen by a simple research on the latest publications in the field. Molecular investigations retrieve information on properties often accessible only by expensive and time-consuming experimental techniques, such as those involved in the study of radical-based chain reactions. In this work, different quantum chemical techniques were used to study phenol oxidation by hydroxyl radicals in Advanced Oxidation Processes used for wastewater treatment. The results obtained by applying a DFT-based model showed good agreement with experimental values available, as well as qualitative insights into the mechanism of the overall reaction chain. Solvation models were also tried, but were found to be limited for this reaction system within the considered theoretical level without further parameterization.

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The hierarchical organisation of biological systems plays a crucial role in the pattern formation of gene expression resulting from the morphogenetic processes, where autonomous internal dynamics of cells, as well as cell-to-cell interactions through membranes, are responsible for the emergent peculiar structures of the individual phenotype. Being able to reproduce the systems dynamics at different levels of such a hierarchy might be very useful for studying such a complex phenomenon of self-organisation. The idea is to model the phenomenon in terms of a large and dynamic network of compartments, where the interplay between inter-compartment and intra-compartment events determines the emergent behaviour resulting in the formation of spatial patterns. According to these premises the thesis proposes a review of the different approaches already developed in modelling developmental biology problems, as well as the main models and infrastructures available in literature for modelling biological systems, analysing their capabilities in tackling multi-compartment / multi-level models. The thesis then introduces a practical framework, MS-BioNET, for modelling and simulating these scenarios exploiting the potential of multi-level dynamics. This is based on (i) a computational model featuring networks of compartments and an enhanced model of chemical reaction addressing molecule transfer, (ii) a logic-oriented language to flexibly specify complex simulation scenarios, and (iii) a simulation engine based on the many-species/many-channels optimised version of Gillespie’s direct method. The thesis finally proposes the adoption of the agent-based model as an approach capable of capture multi-level dynamics. To overcome the problem of parameter tuning in the model, the simulators are supplied with a module for parameter optimisation. The task is defined as an optimisation problem over the parameter space in which the objective function to be minimised is the distance between the output of the simulator and a target one. The problem is tackled with a metaheuristic algorithm. As an example of application of the MS-BioNET framework and of the agent-based model, a model of the first stages of Drosophila Melanogaster development is realised. The model goal is to generate the early spatial pattern of gap gene expression. The correctness of the models is shown comparing the simulation results with real data of gene expression with spatial and temporal resolution, acquired in free on-line sources.

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Die Wirksamkeit einer Vakzine ist von vielen Parametern abhängig. Dazu gehören unter anderen: das ausgewählte Antigen, die Formulation in der das Antigen benutzt wird sowie die Applikationsroute. Antigen-kodierende Ribonukleinsäuren (RNA) gilt heutzutage als eine sichere und effiziente Alternative zu traditionellen Impfstoff-Formulierungen, wie Peptiden, rekombinanten Proteinen, viralen Systemen oder DNA basierten Impfstoffen. Bezüglich des Applikationsortes repräsentiert der Lymphknoten ein optimales Milieu für die Interaktion zwischen antigenpräsentierenden Zellen und T-Zellen. Vor diesem Hintergrund war die Zielsetzung dieser Arbeit, ein auf direktem in vivo Transfer von Antigen-kodierender in vitro transkribierter RNA (IVT-RNA) basierendes Impfverfahren zu entwickeln, zu charakterisieren und auf seine anti-tumorale Wirksamkeit zu testen. In der vorliegenden Arbeit konnte gezeigt werden, dass dendritische Zellen (DCs) in vitro hocheffizient mit IVT-RNA transfiziert werden können und eine hohe stimulatorische Kapazität besitzen. Durch Sequenzmodifikation der IVT-RNA konnten wir die Transkriptstabilität und Translationseffizienz erhöhen was zu einer Steigerung der stimulatorischen Kapazität in vivo führte. Darüber hinaus untersuchten wir die Auswirkung der Insertion eines Signalpeptides 5’ sowie einer C-terminalen transmembran- und zytosolischen-Domäne eines MHC-Klasse-I-Moleküls am 3’ der Antigen-kodierenden Sequenz auf die Effizienz der MHC-Klasse-I und -II Präsentation. Wir konnten in vitro und in vivo nachweisen, dass diese Modifikation zu einer gesteigerten, simultanen Stimulation von antigenspezifischen CD4+ und CD8+ T-Zellen führt. Auf der Basis der optimierten Vektorkassetten etablierten wir die intranodale (i.n.) Transfektion von antigenpräsentierenden Zellen in der Maus. Dazu nutzten wir verschiedene Reportersysteme (eGFP-RNA, fluoreszensmarkierte RNA) und konnten zeigen, dass die intranodale Applikation von IVT-RNA zu selektiven Transfektion und Maturation lymphknotenresidenter DCs führt. Zur Untersuchung der immunologischen Effekte wurden in erster Linie auf Influenza-Hemagglutinin-A und Ovalbumin basierende Modellantigensysteme verwendet. Beide Antigene wurden als Antigen-MHC-Fusionskonstrukte genutzt. Als Responderzellen wurden TCR-transgene Lymphozyten verwendet, die MHC-Klasse-I oder -Klasse-II restringierte Epitope des Influenza-Hemagglutinin-A bzw. des Ovalbumin-Proteins erkennen. Wir konnten in vivo zeigen, dass die intranodale Immunisierung mit IVT-RNA zu einer effizienten Stimulation und Expansion von antigenspezifischen CD4+ und CD8+ T-Zellen in einer dosisabhängigen Weise führt. Funktionell konnte gezeigt werden, dass diese T-Zellen Zytokine sezernieren und zur Zytolyse befähigt sind. Wir waren in der Lage durch repetitive i.n. RNA Immunisierung ein ‚Priming’ CD8+ T-Zellen in naiven Mäusen sowohl gegen virale als auch gegen Tumor assoziierte Antigene zu erreichen. Die geprimten T-Zellen waren befähigt eine zytolytische Aktivität gegen mit spezifischem Peptid beladene Targetzellen zu generieren. Darüber hinaus waren wir in der Lage Gedächtnisszellen expandieren zu können. Abschließend konnten wir in Tumormodellen sowohl in prophylaktischen als auch in therapeutischen Experimenten zeigen dass die i.n. RNA Vakzination die Potenz zur Induktion einer anti-tumoralen Immunität besitzt.

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In Italia, il processo di de-istituzionalizzazione e di implementazione di modelli di assistenza per la salute mentale sono caratterizzati da carenza di valutazione. In particolare, non sono state intraprese iniziative per monitorare le attività relative all’assistenza dei pazienti con disturbi psichiatrici. Pertanto, l’obiettivo della tesi è effettuare una valutazione comparativa dei percorsi di cura nell’ambito della salute mentale nei Dipartimenti di Salute Mentale e Dipendenze Patologiche della regione Emilia-Romagna utilizzando indicatori ottenuti dai flussi amministrativi correnti.. I dati necessari alla costruzione degli indicatori sono stati ottenuti attraverso un data linkage dei flussi amministrativi correnti regionali delle schede di dimissione ospedaliera, delle attività territoriali dei Centri di Salute Mentale e delle prescrizioni farmaceutiche, con riferimento all’anno 2010. Gli indicatori sono stati predisposti per tutti i pazienti con diagnosi principale psichiatrica e poi suddivisi per categoria diagnostica in base al ICD9-CM. . Il set di indicatori esaminato comprende i tassi di prevalenza trattata e di incidenza dei disturbi mentali, i tassi di ospedalizzazione, la ri-ospedalizzazione a 7 e 30 giorni dalla dimissione dai reparti psichiatrici, la continuità assistenziale ospedale-territorio, l’adesione ai trattamenti ed il consumo e appropriatezza prescrittiva di farmaci. Sono state rilevate alcune problematiche nella ricostruzione della continuità assistenziale ospedale-territorio ed alcuni limiti degli indicatori relativi alle prescrizioni dei farmaci. Il calcolo degli indicatori basato sui flussi amministrativi correnti si presenta fattibile, pur con i limiti legati alla qualità, completezza ed accuratezza dei dati presenti. L’implementazione di questi indicatori su larga scala (regionale e nazionale) e su base regolare può essere una opportunità per impostare un sistema di sorveglianza, monitoraggio e valutazione dell’assistenza psichiatrica nei DSM.

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This thesis investigates context-aware wireless networks, capable to adapt their behavior to the context and the application, thanks to the ability of combining communication, sensing and localization. Problems of signals demodulation, parameters estimation and localization are addressed exploiting analytical methods, simulations and experimentation, for the derivation of the fundamental limits, the performance characterization of the proposed schemes and the experimental validation. Ultrawide-bandwidth (UWB) signals are in certain cases considered and non-coherent receivers, allowing the exploitation of the multipath channel diversity without adopting complex architectures, investigated. Closed-form expressions for the achievable bit error probability of novel proposed architectures are derived. The problem of time delay estimation (TDE), enabling network localization thanks to ranging measurement, is addressed from a theoretical point of view. New fundamental bounds on TDE are derived in the case the received signal is partially known or unknown at receiver side, as often occurs due to propagation or due to the adoption of low-complexity estimators. Practical estimators, such as energy-based estimators, are revised and their performance compared with the new bounds. The localization issue is addressed with experimentation for the characterization of cooperative networks. Practical algorithms able to improve the accuracy in non-line-of-sight (NLOS) channel conditions are evaluated on measured data. With the purpose of enhancing the localization coverage in NLOS conditions, non-regenerative relaying techniques for localization are introduced and ad hoc position estimators are devised. An example of context-aware network is given with the study of the UWB-RFID system for detecting and locating semi-passive tags. In particular a deep investigation involving low-complexity receivers capable to deal with problems of multi-tag interference, synchronization mismatches and clock drift is presented. Finally, theoretical bounds on the localization accuracy of this and others passive localization networks (e.g., radar) are derived, also accounting for different configurations such as in monostatic and multistatic networks.

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Several countries have acquired, over the past decades, large amounts of area covering Airborne Electromagnetic data. Contribution of airborne geophysics has dramatically increased for both groundwater resource mapping and management proving how those systems are appropriate for large-scale and efficient groundwater surveying. We start with processing and inversion of two AEM dataset from two different systems collected over the Spiritwood Valley Aquifer area, Manitoba, Canada respectively, the AeroTEM III (commissioned by the Geological Survey of Canada in 2010) and the “Full waveform VTEM” dataset, collected and tested over the same survey area, during the fall 2011. We demonstrate that in the presence of multiple datasets, either AEM and ground data, due processing, inversion, post-processing, data integration and data calibration is the proper approach capable of providing reliable and consistent resistivity models. Our approach can be of interest to many end users, ranging from Geological Surveys, Universities to Private Companies, which are often proprietary of large geophysical databases to be interpreted for geological and\or hydrogeological purposes. In this study we deeply investigate the role of integration of several complimentary types of geophysical data collected over the same survey area. We show that data integration can improve inversions, reduce ambiguity and deliver high resolution results. We further attempt to use the final, most reliable output resistivity models as a solid basis for building a knowledge-driven 3D geological voxel-based model. A voxel approach allows a quantitative understanding of the hydrogeological setting of the area, and it can be further used to estimate the aquifers volumes (i.e. potential amount of groundwater resources) as well as hydrogeological flow model prediction. In addition, we investigated the impact of an AEM dataset towards hydrogeological mapping and 3D hydrogeological modeling, comparing it to having only a ground based TEM dataset and\or to having only boreholes data.

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L’oggetto del lavoro si concentra sull’analisi in chiave giuridica del modello di cooperazione in rete tra le autorità nazionali degli Stati membri nel quadro dello Spazio LSG, allo scopo di valutarne il contributo, le prospettive e il potenziale. La trattazione si suddivide in due parti, precedute da una breve premessa teorica incentrata sull’analisi della nozione di rete e la sua valenza giuridica. La prima parte ricostruisce il percorso di maturazione della cooperazione in rete, dando risalto tanto ai fattori di ordine congiunturale quanto ai fattori giuridici e d’ordine strutturale che sono alla base del processo di retificazione dei settori giustizia e sicurezza. In particolare, vengono elaborati taluni rilievi critici, concernenti l’operatività degli strumenti giuridici che attuano il principio di mutuo riconoscimento e di quelli che danno applicazione al principio di disponibilità delle informazioni. Ciò allo scopo di evidenziare gli ostacoli che, di frequente, impediscono il buon esito delle procedure di cooperazione e di comprendere le potenzialità e le criticità derivanti dall’utilizzo della rete rispetto alla concreta applicazione di tali procedure. La seconda parte si focalizza sull’analisi delle principali reti attive in materia di giustizia e sicurezza, con particolare attenzione ai rispettivi meccanismi di funzionamento. La trattazione si suddivide in due distinte sezioni che si concentrano sulle a) reti che operano a supporto dell’applicazione delle procedure di assistenza giudiziaria e degli strumenti di mutuo riconoscimento e sulle b) reti che operano nel settore della cooperazione informativa e agevolano lo scambio di informazioni operative e tecniche nelle azioni di prevenzione e lotta alla criminalità - specialmente nel settore della protezione dell’economia lecita. La trattazione si conclude con la ricostruzione delle caratteristiche di un modello di rete europea e del ruolo che questo esercita rispetto all’esercizio delle competenze dell’Unione Europea in materia di giustizia e sicurezza.