917 resultados para system parameter identification


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In this work, a LIDAR-based 3D Dynamic Measurement System is presented and evaluated for the geometric characterization of tree crops. Using this measurement system, trees were scanned from two opposing sides to obtain two three-dimensional point clouds. After registration of the point clouds, a simple and easily obtainable parameter is the number of impacts received by the scanned vegetation. The work in this study is based on the hypothesis of the existence of a linear relationship between the number of impacts of the LIDAR sensor laser beam on the vegetation and the tree leaf area. Tests performed under laboratory conditions using an ornamental tree and, subsequently, in a pear tree orchard demonstrate the correct operation of the measurement system presented in this paper. The results from both the laboratory and field tests confirm the initial hypothesis and the 3D Dynamic Measurement System is validated in field operation. This opens the door to new lines of research centred on the geometric characterization of tree crops in the field of agriculture and, more specifically, in precision fruit growing.

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The aim of this study is to confirm the factorial structure of the Identification-Commitment Inventory (ICI) developed within the frame of the Human System Audit (HSA) (Quijano et al. in Revist Psicol Soc Apl 10(2):27-61, 2000; Pap Psicól Revist Col Of Psicó 29:92-106, 2008). Commitment and identification are understood by the HSA at an individual level as part of the quality of human processes and resources in an organization; and therefore as antecedents of important organizational outcomes, such as personnel turnover intentions, organizational citizenship behavior, etc. (Meyer et al. in J Org Behav 27:665-683, 2006). The theoretical integrative model which underlies ICI Quijano et al. (2000) was tested in a sample (N = 625) of workers in a Spanish public hospital. Confirmatory factor analysis through structural equation modeling was performed. Elliptical least square solution was chosen as estimator procedure on account of non-normal distribution of the variables. The results confirm the goodness of fit of an integrative model, which underlies the relation between Commitment and Identification, although each one is operatively different.

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The avidity of the T-cell receptor (TCR) for antigenic peptides presented by the peptide-MHC (pMHC) on cells is a key parameter for cell-mediated immunity. Yet a fundamental feature of most tumor antigen-specific CD8(+) T cells is that this avidity is low. In this study, we addressed the need to identify and select tumor-specific CD8(+) T cells of highest avidity, which are of the greatest interest for adoptive cell therapy in patients with cancer. To identify these rare cells, we developed a peptide-MHC multimer technology, which uses reversible Ni(2+)-nitrilotriacetic acid histidine tags (NTAmers). NTAmers are highly stable but upon imidazole addition, they decay rapidly to pMHC monomers, allowing flow-cytometric-based measurements of monomeric TCR-pMHC dissociation rates of living CD8(+) T cells on a wide avidity spectrum. We documented strong correlations between NTAmer kinetic results and those obtained by surface plasmon resonance. Using NTAmers that were deficient for CD8 binding to pMHC, we found that CD8 itself stabilized the TCR-pMHC complex, prolonging the dissociation half-life several fold. Notably, our NTAmer technology accurately predicted the function of large panels of tumor-specific T cells that were isolated prospectively from patients with cancer. Overall, our results demonstrated that NTAmers are effective tools to isolate rare high-avidity cytotoxic T cells from patients for use in adoptive therapies for cancer treatment.

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During our study of the glyoxylate cycle in soybean (Glycine max. L. var. Maple arrow), two mitochondrial and three cytosolic aconitase molecular species (EC 4.2.1.3) were detected, designated as M1, M2, C1, C2 and C3 isoforms, respectively, according to their intracellular locations and electrophoretic mobilities. Using the glyoxylate cycle marker enzymes isocitrate lyase (ICL, EC 4.1.3.1) and malate synthase (MS, EC 4.1.3.2), the activity of this pathway providing the essential link between P-oxidation and gluconeogenesis was confirmed during germination (cotyledons) and senescence (leaves). It was then established that, in both cases, the activity of the CI aconitase isoform developed concomitantly with the transcription and translation levels of the icl and ms genes. This strongly suggests that C1 aconitase is constitutive of the glyoxylate cycle. In addition, the same isoform was found to be active during pathogenic attack as well (hypocotyls). It might be assumed that in such a case the glyoxylate cycle is reinitiated as a part of a carbon reallocation system feeding on the diseased tissue cellular components.

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INTRODUCTION: Dispatch-assisted cardiopulmonary resuscitation (DA-CPR) plays a key role in out-of-hospital cardiac arrests. We sought to measure dispatchers' performances in a criteria-based system in recognizing cardiac arrest and delivering DA-CPR. Our secondary purpose was to identify the factors that hampered dispatchers' identification of cardiac arrests, the factors that prevented them from proposing DA-CPR, and the factors that prevented bystanders from performing CPR. METHODS AND RESULTS: We reviewed dispatch recordings for 1254 out-of-hospital cardiac arrests occurring between January 1, 2011 and December 31, 2013. Dispatchers correctly identified cardiac arrests in 71% of the reviewed cases and 84% of the cases in which they were able to assess for patient consciousness and breathing. The median time to recognition of the arrest was 60s. The median time to start chest compression was 220s. CONCLUSIONS: This study demonstrates that performances from a criteria-based dispatch system can be similar to those from a medical-priority dispatch system regarding out-of-hospital cardiac arrest (OHCA) time recognition and DA-CPR delivery. Agonal breathing recognition remains the weakest link in this sensitive task in both systems. It is of prime importance that all dispatch centers tend not only to implement DA-CPR but also to have tools to help them reach this objective, as today it should be mandatory to offer this service to the community. In order to improve benchmarking opportunities, we completed previously proposed performance standards as propositions.

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This work describes the formation of transformation products (TPs) by the enzymatic degradation at laboratory scale of two highly consumed antibiotics: tetracycline (Tc) and erythromycin (ERY). The analysis of the samples was carried out by a fast and simple method based on the novel configuration of the on-line turbulent flow system coupled to a hybrid linear ion trap – high resolution mass spectrometer. The method was optimized and validated for the complete analysis of ERY, Tc and their transformation products within 10 min without any other sample manipulation. Furthermore, the applicability of the on-line procedure was evaluated for 25 additional antibiotics, covering a wide range of chemical classes in different environmental waters with satisfactory quality parameters. Degradation rates obtained for Tc by laccase enzyme and ERY by EreB esterase enzyme without the presence of mediators were ∼78% and ∼50%, respectively. Concerning the identification of TPs, three suspected compounds for Tc and five of ERY have been proposed. In the case of Tc, the tentative molecular formulas with errors mass within 2 ppm have been based on the hypothesis of dehydroxylation, (bi)demethylation and oxidation of the rings A and C as major reactions. In contrast, the major TP detected for ERY has been identified as the “dehydration ERY-A”, with the same molecular formula of its parent compound. In addition, the evaluation of the antibiotic activity of the samples along the enzymatic treatments showed a decrease around 100% in both cases

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Multicellular organisms rely on specialized tissues that allow for the controlled exchange of matter with their surrounding. In order to function properly, these tissues need to establish a tight connection between the individual cells to prevent uncontrolled passive diffusion across the extracellular space. In animals, these connections are called tight and adherens junctions and are a critical feature of epithelia. These connections, however, rely on direct protein-protein interaction of plasma membrane proteins of adjacent cells. Such a mechanism is not possible in plants due to the cell wall, which encases the individual cells. In order to absorb nutrients, while simultaneously preventing uncontrolled diffusion between cells, land plants have evolved the root endodermis, which is functionally equivalent to animal epithelia. Its cells are surrounded by a precisely localized and aligned, ring-like lignin deposition, called the Casparian strip, and therefore tightly connected between each other. Very little was known about the development of the endodermis and the Casparian strip until recently. In the meantime, however, we have identified a family of endodermis- specific proteins, the CASPs, which recruits extracellular proteins the specific Casparian strip membrane domain (CSD) to locally synthesize lignin in the cell wall. Yet, we hardly knew any specifics on how the CSD is initially defined and how the critically important CASPs are being recruited to it. We therefore conducted a forward genetic screen on the localization of CASPI-GFP in order to identify novel mutants, which lack a defined CSD. We identified 48 mutants, which fell into 15 different complementation groups. While some of the isolated genes had previously been identified through different approaches, nine novel genes, which had never been implicated in CSD development and maintenance, were identified. One of them, LORD OF THE RINGS 2 (.LOTR2) is described to greater detail in this work. LOTR2 encodes for EX070A1, a protein of the evolutionary conserved exocyst complex. This complex has frequently been implicated in various secretory processes across kingdoms. In Arabidopsis, it transiently defines the positioning of CASPI-GFP. We have performed a detailed analysis of the dynamics of EX070A1 and CASPI-GFP, including studies with other markers and propose a mechanism, by which the cytosolic EX070A1 transiently defines a plasma membrane domain to recruit transmembrane proteins, which then recruit extracellular enzymes for localized cell wall modification. Considering the ubiquitous expression of EX070A1, we think that this mechanism is potentially of importance not only for the endodermis and the Casparian strip but also for many other tissues, in which the cell wall becomes locally modified. In fact, many other tissues with secondary cell wall modifications contain proteins very similar to the CASPs. It will be interesting to see to which degree this mechanism is employed in other tissues. As for the endodermis, we have now identified the first gene, which is not specific to the endodermis but shows endodermis-specific dynamics. This might give us a better insight on how the plant modulates this ubiquitously present factor in a cell- or tissue-type specific manner. Considering the knowledge, mutants and tools, which are available to us for investigating the endodermis, the Casparian strip, the exocyst complex and EX070A1 might be just the right experimental system to address these questions. -- Les organismes multicellulaires dépendent des tissues spécialisé pour l'échange contrôlé entre eux et leur environnement. Pour leur bon fonctionnement, les cellules de ces tissus ont besoin d'être très étroitement assemblés afin de prévenir la diffusion non-contrôlée à travers l'espace extracellulaire. Chez les animaux, ces connexions sont appelées jonctions serrées et jonctions adhérentes. Ces jonctions dépendent des interactions directes entre les protéines des cellules voisines. Ceci n'est pas possible chez les plantes à cause de la paroi cellulaire qui recouvre chaque cellule individuellement. Pour absorber les nutriments et en même temps empêcher la diffusion non-contrôlé entre cellules, les plantes ont évolué 1'endoderme dans la racine, qui est fonctionnellement équivalent aux épithéliums des animaux. Les cellules de l'endoderme sont ceinturées par une déposition de lignine très précisément localisées comme un anneau et alignées entre les cellules, et qui, donc, connecte étroitement les cellules avoisinante: Le cadre de Caspary. Peu était connu sur le développement de l'endoderme et le cadre de Caspaiy jusqu'à il y a quelques années. Récemment, pourtant, nous avons identifié une famille de protéines spécifiques à l'endoderme, les CASPs, qui définissent le domaine membranaire du cadre de Caspaiy (CSD). Les CASPs recrutent les protéines extracellulaires nécessaire à la synthèse du cadre de Caspary vers une région limité dans la paroi cellulaire. Pourtant, on connaît très peu les processus spécifiques concernant la définition initiale du CSD et comment les CASPs, qui ont une importance cruciale, sont recrutées vers ce domaine. Par conséquent nous avons mené un crible génétique sur la localisation du CASPI- GFP, qui sert comme marqueur pour le CSD. Notre but étant d'isoler de nouveaux mutants affectés dans l'établissement du CSD. Nous avons identifié 48 mutants, en 15 groupes de complémentation. Bien que certains des gènes isolés étaient déjà impliqué dans la formation du cadre de Caspary, neuf nouveaux gènes n'ayant jamais été impliqués dans le développement ou la maintenance du CSD ont pu être identifiés. Un de ces gènes, LORD OF THE RINGS2 (LOTR2) sera décrit plus en détail dans cette étude. LOTR2 code pour EX070A1, qui est une protéine, du complexe exocyste. Ce complexe de protéines a très bien été conservé au cours de l'évolution. Il était souvent impliqué dans plusieurs processus de sécrétion dans toutes les branches de la vie. Chez Arabidopsis, EX070A1 définit la position du CSD d'une façon transitoire et recrute CASP1- GFP. Nous avons mené une analyse détaillée des dynamiques d'EX070Al et CASPI-GFP ainsi que, des études avec des autres mutants. Nous proposons un mécanisme, d'après lequel EX070A1, recruté du cytosol, définit un domaine dans la membrane plasmique pour localiser des protéines transmembranaires, ces dernières ensuite recruteront des enzymes extracellulaires pour la modification locale de la paroi cellulaire. Vu qu'EX070A1 est exprimé dans toute dans la plante, nous pensons que ce mécanisme est potentiellement important non seulement pour l'endoderme et le cadre de Caspary, mais aussi pour les autres tissus où la paroi cellulaire doit être localement modifiée. En effet, plusieurs autres tissus contiennent des protéines très similaires aux CASPs. Il serait intéressant de voir à quelle dégrée ce mécanisme est également utilisé dans ces tissues. En ce qui concerne l'endoderme, nous avons maintenant identifié le premier gène qui n'est pas exprimé spécifiquement dans l'endoderme, mais qui montre tout de même une dynamique caractéristique dans ce tissu. Il serait intéressant de voir comment la plante peut moduler ce facteur omniprésent d'une façon spécifique. Vu les connaissances, les mutants et les outils qu'on a maintenant à notre disposition, l'endoderme et son cadre de Caspary, le complexe exocyste et EX070A1 sont probablement des bons systèmes expérimentaux pour étudier ces questions. -- Identification des nouveaux facteurs pendant l'établissement du cadre de Caspary dans l'endoderme. Lothar Kalmbach, Département de Biologie Moléculaire Végétale (DBMV), Université de Lausanne. Comme tous les autres organismes multicellulaires, les plantes terrestres dépendent de tissus spécialisés pour l'échange contrôlé avec leur environnement. Ces tissus sont importants pour l'absorption des nutriments mais également pour éviter l'influx de composés toxiques. Chez les plantes, ce tissu se trouve dans la racine. C'est l'endoderme. Grâce au cadre de Caspary, qui permet une forte connexion entre les cellules au niveau de leur paroi, l'endoderme empêche les éléments toxiques d'entrer dans le système vasculaire. Depuis quelques années, nous comprenons de plus en plus la nature et la biosynthèse, ainsi que les protéines impliquées dans l'ancrage des enzymes à la membrane plasmique. Nous n'avons eu, par contre, aucune idée sur le mécanisme qui d'abord définit cet endroit dans la membrane plasmique. Nous avons mené un crible génétique sur la localisation de CASPI-GFP, une protéine, qui recrute les enzymes extracellulaires pour la synthèse du cadre de Caspary. Nous avons identifié plusieurs nouveaux gènes qui sont impliqués dans l'intégrité du cadre de Caspary. L'un de ces gènes est EX070A1, qui est un facteur ayant un rôle important lors de la sécrétion des protéines dans tous les organismes eukaryotes. Ces mutants sont gravement affectés au niveau du cadre de Caspary, mais surtout ils ne sont plus capables de localiser CASPI-GFP. Nous avons suivi la dynamique d'EX070Al et de CASP1-GFP en combinaison avec d'autres marqueurs. Nous avons pu montrer que l'accumulation d'EX070Al est spécifique pour l'endoderme et essentielle pour bien localiser CASPI-GFP et donc, le cadre de Caspary. Ces résultats nous aident à mieux comprendre le développement de l'endoderme mais peuvent potentiellement aussi être utilisés pour étudier les modifications de la paroi cellulaire dans d'autres cellules de la plante.

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In the world of transport management, the term ‘anticipation’ is gradually replacing ‘reaction’. Indeed, the ability to forecast traffic evolution in a network should ideally form the basis for many traffic management strategies and multiple ITS applications. Real-time prediction capabilities are therefore becoming a concrete need for the management of networks, both for urban and interurban environments, and today’s road operator has increasingly complex and exacting requirements. Recognising temporal patterns in traffic or the manner in which sequential traffic events evolve over time have been important considerations in short-term traffic forecasting. However, little work has been conducted in the area of identifying or associating traffic pattern occurrence with prevailing traffic conditions. This paper presents a framework for detection pattern identification based on finite mixture models using the EM algorithm for parameter estimation. The computation results have been conducted taking into account the traffic data available in an urban network.

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Synchronous motors are used mainly in large drives, for example in ship propulsion systems and in steel factories' rolling mills because of their high efficiency, high overload capacity and good performance in the field weakening range. This, however, requires an extremely good torque control system. A fast torque response and a torque accuracy are basic requirements for such a drive. For large power, high dynamic performance drives the commonly known principle of field oriented vector control has been used solely hitherto, but nowadays it is not the only way to implement such a drive. A new control method Direct Torque Control (DTC) has also emerged. The performance of such a high quality torque control as DTC in dynamically demanding industrial applications is mainly based on the accurate estimate of the various flux linkages' space vectors. Nowadays industrial motor control systems are real time applications with restricted calculation capacity. At the same time the control system requires a simple, fast calculable and reasonably accurate motor model. In this work a method to handle these problems in a Direct Torque Controlled (DTC) salient pole synchronous motor drive is proposed. A motor model which combines the induction law based "voltage model" and motor inductance parameters based "current model" is presented. The voltage model operates as a main model and is calculated at a very fast sampling rate (for example 40 kHz). The stator flux linkage calculated via integration from the stator voltages is corrected using the stator flux linkage computed from the current model. The current model acts as a supervisor that prevents only the motor stator flux linkage from drifting erroneous during longer time intervals. At very low speeds the role of the current model is emphasised but, nevertheless, the voltage model always stays the main model. At higher speeds the function of the current model correction is to act as a stabiliser of the control system. The current model contains a set of inductance parameters which must be known. The validation of the current model in steady state is not self evident. It depends on the accuracy of the saturated value of the inductances. Parameter measurement of the motor model where the supply inverter is used as a measurement signal generator is presented. This so called identification run can be performed prior to delivery or during drive commissioning. A derivation method for the inductance models used for the representation of the saturation effects is proposed. The performance of the electrically excited synchronous motor supplied with the DTC inverter is proven with experimental results. It is shown that it is possible to obtain a good static accuracy of the DTC's torque controller for an electrically excited synchronous motor. The dynamic response is fast and a new operation point is achieved without oscillation. The operation is stable throughout the speed range. The modelling of the magnetising inductance saturation is essential and cross saturation has to be considered as well. The effect of cross saturation is very significant. A DTC inverter can be used as a measuring equipment and the parameters needed for the motor model can be defined by the inverter itself. The main advantage is that the parameters defined are measured in similar magnetic operation conditions and no disagreement between the parameters will exist. The inductance models generated are adequate to meet the requirements of dynamically demanding drives.

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Photosynthesis, the process in which carbon dioxide is converted into sugars using the energy of sunlight, is vital for heterotrophic life on Earth. In plants, photosynthesis takes place in specific organelles called chloroplasts. During chloroplast biogenesis, light is a prerequisite for the development of functional photosynthetic structures. In addition to photosynthesis, a number of other metabolic processes such as nitrogen assimilation, the biosynthesis of fatty acids, amino acids, vitamins, and hormones are localized to plant chloroplasts. The biosynthetic pathways in chloroplasts are tightly regulated, and especially the reduction/oxidation (redox) signals play important roles in controlling many developmental and metabolic processes in chloroplasts. Thioredoxins are universal regulatory proteins that mediate redox signals in chloroplasts. They are able to modify the structure and function of their target proteins by reduction of disulfide bonds. Oxidized thioredoxins are restored via the action of thioredoxin reductases. Two thioredoxin reductase systems exist in plant chloroplasts, the NADPHdependent thioredoxin reductase C (NTRC) and ferredoxin-thioredoxin reductase (FTR). The ferredoxin-thioredoxin system that is linked to photosynthetic light reactions is involved in light-activation of chloroplast proteins. NADPH can be produced via both the photosynthetic electron transfer reactions in light, and in darkness via the pentose phosphate pathway. These different pathways of NADPH production enable the regulation of diverse metabolic pathways in chloroplasts by the NADPH-dependent thioredoxin system. In this thesis, the role of NADPH-dependent thioredoxin system in the redox-control of chloroplast development and metabolism was studied by characterization of Arabidopsis thaliana T-DNA insertion lines of NTRC gene (ntrc) and by identification of chloroplast proteins regulated by NTRC. The ntrc plants showed the strongest visible phenotypes when grown under short 8-h photoperiod. This indicates that i) chloroplast NADPH-dependent thioredoxin system is non-redundant to ferredoxinthioredoxin system and that ii) NTRC particularly controls the chloroplast processes that are easily imbalanced in daily light/dark rhythms with short day and long night. I identified four processes and the redox-regulated proteins therein that are potentially regulated by NTRC; i) chloroplast development, ii) starch biosynthesis, iii) aromatic amino acid biosynthesis and iv) detoxification of H2O2. Such regulation can be achieved directly by modulating the redox state of intramolecular or intermolecular disulfide bridges of enzymes, or by protecting enzymes from oxidation in conjunction with 2-cysteine peroxiredoxins. This thesis work also demonstrated that the enzymatic antioxidant systems in chloroplasts, ascorbate peroxidases, superoxide dismutase and NTRC-dependent 2-cysteine peroxiredoxins are tightly linked up to prevent the detrimental accumulation of reactive oxygen species in plants.

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Supply chain risk management has emerged as an increasingly important issue in logistics as disruptions in the supply chain have become critical issues for many companies. The scientific literature on the subject is developing and in many respects the understanding of it is still in its infancy. Thus, there is a need for more information in order for scholars and practitioners to understand the causalities and interrelations that characterise the phenomenon. The aim of this dissertation is to narrow this gap by exploring key aspects of supply chain risk management through two maritime supply chains in the immediate region of the Gulf of Finland. The study contributes to the field in three different ways. Firstly, it facilitates the identification of risks on different levels of the supply chain through a systematic analysis of the processes and actors, and of the cognitive barriers that limit the actors’ visibility and their understanding of the operations and the risks involved. There is a clear need to increase collaboration and information exchange in order to improve visibility in the chain. Risk management should be a collaborative effort among the individual actors, aimed at obtaining a holistic picture. Secondly, the study contributes to the literature on risk analysis through the use of systemic frameworks that illustrate the causalities and linkages in the system, thereby making it easier to perceive the vulnerabilities. Thirdly, the study enhances current knowledge of risk control in identifying actor roles, risk visibility and risk controllability as being among the key factors determining risk-management effectiveness against supply-chain vulnerability. This dissertation is divided into two parts. The first part gives a general overview of the relevant literature, the research design and the conclusions of the study, and the second part comprises six research publications. Case-study methodology with systematic combining approach is used, where in-depth interviews, questionnaires and expert panel sessions are the main data collection methods. The study illustrates the current state of risk management in multimodal maritime supply chains, and develops frameworks for further analysis. The results imply that there are major differences between organizations in their ability to execute supply chain risk management. Further collaboration should be considered in order to facilitate the development of systematic and effective management processes.

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This study aims at detailing bimodal pore distribution by means of water retention curve in an oxidic-gibbsitic Latosol and in a kaolinitic cambisol Latossol under conservation management system of coffee crop. Samples were collected at depths of 20; 40; 80; 120 and 160 cm on coffee trees rows and between rows under oxidic-gibbsitic Latosol (LVd) and kaolinitic cambisol Latossol (LVAd). Water retention curve was determined at matrix potentials (Ψm) -1; -2; -4; -6; -10 kPa obtained from the suction unit; the Ψm of -33; -100; -500; -1,500 kPa were obtained by the Richards extractor, and WP4-T psychrometer was used to determine Ψm -1,500 to -300,000 kPa. The water retention data were adjusted to the double van Genuchten model by nonlinear model procedures of the R 2.12.1 software. Was estimated the model parameter and inflection point slope. The system promoted changes in soil structure and water retention for the conditions evaluated, and both showed bimodal pores distribution, which were stronger in LVd. There was a strong influence of mineralogy gibbsitic in the water retention more negative than Ψm -1500 kPa, reflected in the values of the residual water content.

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ABSTRACT The present study aims to present the main concepts of the sugarcane straw to energy planning. Throughout the study, the subject is contextualized highlighting broader aspects of sustainability, which is considered the main driver towards agro-energy modernization. Concerning sugarcane straw, we first evaluated its availability regarding technical and economic aspects, and then it summarized the straw production chain for energy supply purposes. As a proposal to support agro-energy planning, it is presented some spatial tools that have been barely used in the Brazilian energy planning context so far. Therefore, working on straw to electricity associated with supply chain basis, we developed a conceptual model to spatially assess this bioenergy system. Using the model proposed, it is described the whole supply chain at state level, which accounted the potential of a single mill to explore straw, as well as main costs associated with straw acquisition, investments on the straw recovery routes and electricity transmission. Bearing these concepts in mind, it is fully believed that spatial analysis can bring important information for agro-energy action plans.

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Streptococcus suis is an important pig pathogen but it is also zoonotic, i.e. capable of causing diseases in humans. Human S. suis infections are quite uncommon but potentially life-threatening and the pathogen is an emerging public health concern. This Gram-positive bacterium possesses a galabiose-specific (Galalpha1−4Gal) adhesion activity, which has been studied for over 20 years. P-fimbriated Escherichia coli−bacteria also possess a similar adhesin activity targeting the same disaccharide. The galabiose-specific adhesin of S. suis was identified by an affinity proteomics method. No function of the protein identified was formerly known and it was designated streptococcal adhesin P (SadP). The peptide sequence of SadP contains an LPXTG-motif and the protein was proven to be cell wall−anchored. SadP may be multimeric since in SDS-PAGE gel it formed a protein ladder starting from about 200 kDa. The identification was confirmed by producing knockout strains lacking functional adhesin, which had lost their ability to bind to galabiose. The adhesin gene was cloned in a bacterial expression host and properties of the recombinant adhesin were studied. The galabiose-binding properties of the recombinant protein were found to be consistent with previous results obtained studying whole bacterial cells. A live-bacteria application of surface plasmon resonance was set up, and various carbohydrate inhibitors of the galabiose-specific adhesins were studied with this assay. The potencies of the inhibitors were highly dependent on multivalency. Compared with P-fimbriated E. coli, lower concentrations of galabiose derivatives were needed to inhibit the adhesion of S. suis. Multivalent inhibitors of S. suis adhesion were found to be effective at low nanomolar concentrations. To specifically detect galabiose adhesin−expressing S. suis bacteria, a technique utilising magnetic glycoparticles and an ATP bioluminescence bacterial detection system was also developed. The identification and characterisation of the SadP adhesin give valuable information on the adhesion mechanisms of S. suis, and the results of this study may be helpful for the development of novel inhibitors and specific detection methods of this pathogen.

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Parameter estimation still remains a challenge in many important applications. There is a need to develop methods that utilize achievements in modern computational systems with growing capabilities. Owing to this fact different kinds of Evolutionary Algorithms are becoming an especially perspective field of research. The main aim of this thesis is to explore theoretical aspects of a specific type of Evolutionary Algorithms class, the Differential Evolution (DE) method, and implement this algorithm as codes capable to solve a large range of problems. Matlab, a numerical computing environment provided by MathWorks inc., has been utilized for this purpose. Our implementation empirically demonstrates the benefits of a stochastic optimizers with respect to deterministic optimizers in case of stochastic and chaotic problems. Furthermore, the advanced features of Differential Evolution are discussed as well as taken into account in the Matlab realization. Test "toycase" examples are presented in order to show advantages and disadvantages caused by additional aspects involved in extensions of the basic algorithm. Another aim of this paper is to apply the DE approach to the parameter estimation problem of the system exhibiting chaotic behavior, where the well-known Lorenz system with specific set of parameter values is taken as an example. Finally, the DE approach for estimation of chaotic dynamics is compared to the Ensemble prediction and parameter estimation system (EPPES) approach which was recently proposed as a possible solution for similar problems.