EMG signal decomposition is the process of resolving a composite EMG signal into its constituent motor unit potential trains (classes) and it can be configured as a classification problem. An EMG signal detected by the tip of an inserted needle electrode is the superposition of the individual electrical contributions of the different motor units that are active, during a muscle contraction, and background interference. <BR>This thesis addresses the process of EMG signal decomposition by developing an interactive classification system, which uses multiple classifier fusion techniques in order to achieve improved classification performance. The developed system combines heterogeneous sets of base classifier ensembles of different kinds and employs either a one level classifier fusion scheme or a hybrid classifier fusion approach. <BR>The hybrid classifier fusion approach is applied as a two-stage combination process that uses a new aggregator module which consists of two combiners: the first at the abstract level of classifier fusion and the other at the measurement level of classifier fusion such that it uses both combiners in a complementary manner. Both combiners may be either data independent or the first combiner data independent and the second data dependent. For the purpose of experimentation, we used as first combiner the majority voting scheme, while we used as the second combiner one of the fixed combination rules behaving as a data independent combiner or the fuzzy integral with the lambda-fuzzy measure as an implicit data dependent combiner. <BR>Once the set of motor unit potential trains are generated by the classifier fusion system, the firing pattern consistency statistics for each train are calculated to detect classification errors in an adaptive fashion. This firing pattern analysis allows the algorithm to modify the threshold of assertion required for assignment of a motor unit potential classification individually for each train based on an expectation of erroneous assignments. <BR>The classifier ensembles consist of a set of different versions of the Certainty classifier, a set of classifiers based on the nearest neighbour decision rule: the fuzzy <em>k</em>-NN and the adaptive fuzzy <em>k</em>-NN classifiers, and a set of classifiers that use a correlation measure as an estimation of the degree of similarity between a pattern and a class template: the matched template filter classifiers and its adaptive counterpart. The base classifiers, besides being of different kinds, utilize different types of features and their performances were investigated using both real and simulated EMG signals of different complexities. The feature sets extracted include time-domain data, first- and second-order discrete derivative data, and wavelet-domain data. <BR>Following the so-called <em>overproduce and choose</em> strategy to classifier ensemble combination, the developed system allows the construction of a large set of candidate base classifiers and then chooses, from the base classifiers pool, subsets of specified number of classifiers to form candidate classifier ensembles. The system then selects the classifier ensemble having the maximum degree of agreement by exploiting a diversity measure for designing classifier teams. The kappa statistic is used as the diversity measure to estimate the level of agreement between the base classifier outputs, i. e. , to measure the degree of decision similarity between the base classifiers. This mechanism of choosing the team's classifiers based on assessing the classifier agreement throughout all the trains and the unassigned category is applied during the one level classifier fusion scheme and the first combiner in the hybrid classifier fusion approach. For the second combiner in the hybrid classifier fusion approach, we choose team classifiers also based on kappa statistics but by assessing the classifiers agreement only across the unassigned category and choose those base classifiers having the minimum agreement. <BR>Performance of the developed classifier fusion system, in both of its variants, i. e. , the one level scheme and the hybrid approach was evaluated using synthetic simulated signals of known properties and real signals and then compared it with the performance of the constituent base classifiers. Across the EMG signal data sets used, the hybrid approach had better average classification performance overall, specially in terms of reducing the number of classification errors.

EMG signal decomposition is the process of resolving a composite EMG signal into its constituent motor unit potential trains (classes) and it can be configured as a classification problem. An EMG signal detected by the tip of an inserted needle electrode is the superposition of the individual electrical contributions of the different motor units that are active, during a muscle contraction, and background interference. <BR>This thesis addresses the process of EMG signal decomposition by developing an interactive classification system, which uses multiple classifier fusion techniques in order to achieve improved classification performance. The developed system combines heterogeneous sets of base classifier ensembles of different kinds and employs either a one level classifier fusion scheme or a hybrid classifier fusion approach. <BR>The hybrid classifier fusion approach is applied as a two-stage combination process that uses a new aggregator module which consists of two combiners: the first at the abstract level of classifier fusion and the other at the measurement level of classifier fusion such that it uses both combiners in a complementary manner. Both combiners may be either data independent or the first combiner data independent and the second data dependent. For the purpose of experimentation, we used as first combiner the majority voting scheme, while we used as the second combiner one of the fixed combination rules behaving as a data independent combiner or the fuzzy integral with the lambda-fuzzy measure as an implicit data dependent combiner. <BR>Once the set of motor unit potential trains are generated by the classifier fusion system, the firing pattern consistency statistics for each train are calculated to detect classification errors in an adaptive fashion. This firing pattern analysis allows the algorithm to modify the threshold of assertion required for assignment of a motor unit potential classification individually for each train based on an expectation of erroneous assignments. <BR>The classifier ensembles consist of a set of different versions of the Certainty classifier, a set of classifiers based on the nearest neighbour decision rule: the fuzzy <em>k</em>-NN and the adaptive fuzzy <em>k</em>-NN classifiers, and a set of classifiers that use a correlation measure as an estimation of the degree of similarity between a pattern and a class template: the matched template filter classifiers and its adaptive counterpart. The base classifiers, besides being of different kinds, utilize different types of features and their performances were investigated using both real and simulated EMG signals of different complexities. The feature sets extracted include time-domain data, first- and second-order discrete derivative data, and wavelet-domain data. <BR>Following the so-called <em>overproduce and choose</em> strategy to classifier ensemble combination, the developed system allows the construction of a large set of candidate base classifiers and then chooses, from the base classifiers pool, subsets of specified number of classifiers to form candidate classifier ensembles. The system then selects the classifier ensemble having the maximum degree of agreement by exploiting a diversity measure for designing classifier teams. The kappa statistic is used as the diversity measure to estimate the level of agreement between the base classifier outputs, i. e. , to measure the degree of decision similarity between the base classifiers. This mechanism of choosing the team's classifiers based on assessing the classifier agreement throughout all the trains and the unassigned category is applied during the one level classifier fusion scheme and the first combiner in the hybrid classifier fusion approach. For the second combiner in the hybrid classifier fusion approach, we choose team classifiers also based on kappa statistics but by assessing the classifiers agreement only across the unassigned category and choose those base classifiers having the minimum agreement. <BR>Performance of the developed classifier fusion system, in both of its variants, i. e. , the one level scheme and the hybrid approach was evaluated using synthetic simulated signals of known properties and real signals and then compared it with the performance of the constituent base classifiers. Across the EMG signal data sets used, the hybrid approach had better average classification performance overall, specially in terms of reducing the number of classification errors.

The impact of particle size, size distribution, and particle shape on the rheology of precipitated calcium carbonate (PCC) based coatings was studied. Evaluating the interactions between different particle sizes and shapes leads to a better understanding of the packing fraction of PCC. HIgh packing fraction is desirable because of the positive impact on the fluidity of suspensions. Suspension with higher levels of fluidity can potentially load larger amounts of solids while keeping low viscosities. High solids suspensions are key factors to improve the efficiency of coating processes. To address this issue, PCC of different sizes and shapes where mixed in different ratiosto find mixtures with higher packing fractions that could result in coatings with lower viscosities. When coatings containing 90% of large particles and 10% by weight of small particles of different shape, viscosity decreases by 50% for one combination. The effect is caused by the higher packing fraction achieved. Future research is also described here.

Development of combination products such as tissue engineered constructs which combine biomaterials with biologics has prompted the need to clarify the role of biomaterial in potentiating the immune response towards the biological component due to adjuvant effect. In tissue engineering applications, immune responses are to be minimized while vaccine strategies seek to enhance the protective immune response. Thesis project presented herein showed that adjuvant effect of poly(lactic-co-glycolic acid) (PLGA) is mediated in part by maturation of dendritic cells (DCs), immune cells that orchestrate adaptive immune response. Maturation of human peripheral blood monocyte-derived DCs in response to PLGA contact was demonstrated in vitro and in vivo by increased co-stimulatory and MHC molecule expression, mixed lymphocyte reaction, cytokine release, and delayed type hypersensitivity reaction. In contrast to PLGA, agarose did not induce DC maturation, in accordance with its low inflammatory effect. Roles of various receptors involved in DC maturation and recognition of biomaterials were assessed by in vitro receptor blocking studies. In particular, role of Toll-like receptors were further investigated using DCs derived from bone marrows of murine model of Toll-like receptor 4 deficiency (C3H/HeJ). While PLGA induced maturation of DCs from C57BL6 mice, maturation was not observed in DCs from C3H/HeJ strain or control strain, C3H/HeOuJ, perhaps due to particular haplotypes of these animals. Collectively, these results establish the differential adjuvant effects of agarose and PLGA on the level of DC maturation, and begin to elucidate the mechanisms of biomaterial adjuvant effect. In addition, assays developed herein provide methods to screen for biomaterials to be used in combination products, such that biomaterials with desired levels of adjuvanticity as measured by DC maturation effects may be selected for given application.

This thesis endeavors towards developing various concepts employed in analysis and design of acoustic filters for varied applications ranging from combination mufflers for automobiles to complex networks of gas carrying ducts to multiply connected complex automotive silencing devices to the noise control coatings for underwater applications. A two-dimensional wave modeling approach has been proposed to evaluate sound attenuation characteristics of dissipative mufflers of finite length with/without extended inlet and outlet tubes including very large mufflers. The correctness of the method has been validated through comparison with experimental results from literature. Two other frequently used approximate schemes have been discussed briefly with reference to the available literature. These three approaches have then been weighed against each other to show the effectiveness and limitations of each one. A thorough comparison study has been performed to investigate each one’s extent of applicability. A parametric study with different parameters suggests some useful design guidelines that can be put to use while designing such mufflers. Benefits and drawbacks of reactive and dissipative mufflers have been discussed with an intention of striking a compromise between them to achieve a better transmission quality over a broad frequency range. This has been accomplished by combining these two types of mufflers/filters explicitly. These combination mufflers are analyzed using a transfer matrix based approach by extending the aforesaid concept of two-dimensional wave modeling for finite dissipative ducts. The present approach has been used to analyze axi-symmetric circular lined plenum chambers also. The effectiveness of the bulk reaction assumption to model absorptive lining is illustrated. A parametric study has been carried out to investigate the effects of different thicknesses and placements of the absorptive lining. The contributions of reflective and absorptive portion of the combination mufflerto overall attenuation performance have been investigated from the designer’s point of view A generalized algorithm has been developed for studying the plane sound wave propa- gation in a system of interconnected rigid-walled acoustic filter elements. Interconnection between various elements is represented by a connectivity matrix. Equations of volume velocity continuity and pressure equilibrium at the interconnections are generated using this connectivity matrix and are solved using the Gauss-Jordan elimination scheme to get the overall transfer matrix of the system. The algorithm used for generalized labeling of the network and computation of Transmission Loss has also been discussed. The algorithm has been applied to investigate a multiply connected automobile mufflers as a network of acoustic elements which guides the way to a specialized application discussed next. Results for some configurations have been compared with those from the FEM analysis and experiments. A parametric study with respect to some geometric variables is carried out. The acoustical similarity between apparently different networks is discussed. The approach is flexible to incorporate any other acoustic elements, provided the acoustic variables at the junctions of the element can be related by a transfer matrix a priori. Commercial automotive mufflers are often too complex to be broken into a cascade of one dimensional elements with predetermined transfer matrices. The one dimensional (1-D) scheme presented here is based on an algorithm that uses user friendly visual volume elements to generate the system equations which are then solved using a Gauss-Jordan elimination scheme to derive the overall transfer matrix of the muffler. This work attempts and succeeds to a great extent in exploiting the speed of the one dimensional analysis with the flexibility, generality and user friendliness of three dimensional analysis using geometric modeling. A code based on the developed algorithm has been employed to demonstrate the generality of the proposed method in analyzing commercial muffers by considering three very diverse classes of mufflers with different kinds of combinations of reactive, perforated and absorptive elements. Though the examples presented in the thesis are not very complex for they are meant to be just representative cases of certain classes of mufflers, yet the algorithm can handle a large domain of commercial mufflers of high degree of complexity. Results from the present algorithm have been validated through comparisons with both the analytical and the more general, three-dimensional FEM based results. The forte of the proposed method is its power to construct the system matrix consistent with the boundary conditions from the geometrical model to evaluate the four pole parameters of the entire muffer and thence its transmission loss,etc. Thus, the algorithm can be used in conjunction with the transfer matrix based muffler programs to analyze the entire exhaust system of an automobile. A different kind of acoustic filter than the above mentioned cases is then taken up for investigation. These refer to the specialized underwater acoustic filters laid as linings on submerged bodies. These kind of underwater noise control linings have three different types of objectives, namely, Echo Reduction, Transmission Reduction (TL maximization) and a combination thereof. These coatings have been shown to be behaving very differently with different shape, size and number of air channels present in the layer. In this regard, a finite element model based methodology has been followed. An hybrid type finite element based on the Pian and Tong formulation has been modified and used so as to make the computational efforts less demanding as compared to the original one. The developed finite element has been shown to be immune to the difficulties that arise due to the near incompressible characteristics of the viscoelastic materials used and the high distortion of the elements of the FE mesh. The adequacy of this formulation has been shown by comparing its results with the analytical, FE based, and experimental results. Then, this methodology has been used to analyze and generate design curves to control various geometrical parameters for proper designing of these linings. Different unit cell representations for different types of distributions of air cavities on the linings have been discussed. Four different types of layers have been introduced and analyzed to address different objectives mentioned above. They have been termed as the Anechoic layer, Insulation layer and Combination Layer of coupled and decoupled type in this thesis. The first two layers have been designed to achieve very dissimilar characteristics and the next two layers have been designed to balance their disparities. A thorough parametric study has been carried out on the geometrical parameters of all the layers to come up with the design guidelines. For anechoic and the insulation layers, different distributions have been analyzed with different unit cell geometries and their usability in specific situations has been outlined. Effect of static pressure has also been studied by using an approximate finite element method. This method can be used to simulate deep-sea testing environment.

Diese Arbeit beschäftigt sich mit den besonderen elektronischen Eigenschaften der Übergangsmetall-Aluminide. In Anlehnung an die Quasikristalle und ihre Approximanten zeigt sich, dass selbst Materialien mit kleinen Einheitszellen die gleichen überraschenden Effekte aufweisen. So gibt es unter den Übergangsmetall-Aluminiden auch semimetallische und halbleitende Verbindungen, auch wenn sie aus klassisch-metallischen Komponenten wie Fe, Al oder Cr bestehen. Diese Eigenschaften sind außerdem mit einem tiefen Pseudogap bzw. Gap in der Zustandsdichte und starken kovalenten Bindungen gekoppelt. Bindungen werden im Rahmen dieser Arbeit durch zwei wesentliche Eigenschaften beschrieben. Erstens durch die Bindungsladung und zweitens durch die energetische Auswirkung der Bindung. Es ergibt sich, dass im Fall halbleitender Übergangsmetall-Aluminide zum einen eine Sättigung von bestimmten Bindungen, wie auch ein bindungs-antibindungs-Wechsel bei der Fermi-Energie vorliegt. Mit der Analyse der Nahordnung in Form der sogenannten lokalen Koordinationspolyeder ist es gelungen, eine einfache Regel für Halbleiter aufzustellen, die Fünffachkoordination für Al. Diese Regel besagt, dass Aluminium-Atome mit ihren drei Valenzelektronen nicht in der Lage sind, mehr als fünf gesättigte Bindungen zu ihren nächsten Übergangsmetall-Nachbarn aufzubauen. In exzellenter Übereinstimmung mit den in Annahme gleichartiger Bindungen theoretisch vorhergesagten Bindungswinkel ergibt sich, dass alle binären Übergangs-Aluminid-Halbleiter für die Al-Atome die gleiche Nahordnung aufweisen. Typische Werte für spezifische Widerstände der untersuchten Materialien bei Raumtemperatur liegen im Bereich von einigen 100µOhm cm, was weit größer ist als einige 10µOhm cm wie im Fall der unlegierten Metalle. Überraschend ist außerdem eine hohe Transportanisotropie mit einem Verhältnis der spezifischen Widerstände bis zu 3.0. Eine wesentliche Errungenschaft der Arbeit kann in der Verknüpfung der Eigenschaft des elektronischen Transports und der Bindungseigenschaften gesehen werden. Die geringen Leitfähigkeiten konnten durch geringe Werte in der Zustandsdichte (DOS) und einem bei gleicher Energie stattfindenden bindungs-antibindungs-Wechsel erklärt werden.

Šiame magistro darbe analizuojamos konceptualiosios metaforos, atrinktos iš Europos Sąjungos dokumentų tekstyno anglų ir lietuvių kalbomis, ir jų vertimas. Oficialiuose tekstuose paprastai nesitikima rasti daug kalbos gražinimo priemonių, tokių kaip metaforos. Tačiau jos yra sudėtinė visų kalbų dalis, o konceptualioji yra ypatinga tuo, kad gali būti prigijusi pačiose netikėčiausiose srityse, ir, jei neatliekami tam tikri tyrimai, gali likti nepastebėta. Darbe apibrėžta metaforos samprata, nurodomos jos rūšys. Išskiriama konceptualioji metafora ir kelios jos klasifikacijos – pagal konvencionalumą, atliekamą funkciją (skirstomos į struktūrines, ontologines ir erdvines) ir apibrėžtumo laipsnį. Aprašius atrankos būdus ir kriterijus, dažniniuose dvižodžių ir trižodžių junginių sąrašuose atrinktos konceptualiosios metaforos. Kiekviena pagal atliekamą funkciją priskirta struktūrinėms, ontologinėms arba erdvinėms. Lygiagrečiajame anglų-lietuvių kalbų ES dokumentų tekstyne buvo ieškoma kiekvienos konceptualiosios metaforos vertimo, siekiant nustatyti, ar junginiai išlaikė savo konceptualumą; ar jį įgijo tik vertime; ar vertime jis pranyko. Nustatyta, kad iš dažniausiai pasikartojančių ES dokumentų tekstyne konceptualiųjų metaforų anglų ir lietuvių kalbomis vertime išlieka didžioji dalis, tai yra atitinkamai 61% ir 69%. Tipiškiausios, dažniausiai vartojamos konceptualiosios metaforos lygiagrečiajame tekstyne verčiamos labai vienodai. / This research is based on conceptual metaphors that were manually extracted from the English-Lithuanian corpus of European Union documents, the translation was analyzed. Normally it is uncommon to find many figures of speech in official texts, but metaphor is a component of all languages. The conceptual metaphor is naturalized in most uncommon areas without being noticed unless specifically investigated. Conception of metaphor and its types are defined in this work. Conceptual metaphor is presented, as well as possible classifications – by conventionality, by cognitive function they perform (classified into structural, ontological and orientational metaphors) as well as generality of metaphor. After presenting the identification criteria and methods, conceptual metaphors were extracted from the frequency lists of two-word and three-word combinations. Each conceptual metaphor was analyzed and classified as structural, ontological or orientational in accordance with the functions they perform. Translation of each metaphor was located in the English-Lithuanian parallel corpus of EU documents, in order to determine if the combinations retained their conceptuality; if it was obtained only in translation; if it vanished in translation. It was discovered that the majority of the most frequently used English and Lithuanian conceptual metaphors remained in translation, 61% and 69% respectively. The most typical, most frequently used conceptual metaphors are translated in the parallel... [to full text]

<p>Malaria is a health, social and economic burden in Nigeria and consistently ranks amongst the four most common causes of childhood deaths. Treatment of malaria is usually started at home / care is only sought from the health facility when the treatment is ineffective (McCombie, 1996). Patent medicine vendors (PMVs) have been identified as a widely patronized source for drugs used in the home treatment of malaria (Breiger et al, 2001 / Goodman, et al, 2007 / Salako et al, 2001). Inadequate or poor knowledge and practices in the use of anti-malaria drugs (AMDs) increases morbidity and mortality, undermines therapeutic efficacy, and promotes the emergence and spread of drugresistant malaria. Aim: The aim of the study was to describe and quantify the knowledge and self-reported practices of PMVs in the use of antimalarials, particularly artemisinin-based combination therapies (ACTs), in a poor urban community in Lagos state, Nigeria.</p>

The thesis describes development and application of coupled resonant coil sensors, which is of growing interest for remote monitoring applications. An interrogation technique, which improves the accuracy and interrogation range of coupled resonant coil sensors, is introduced. The method uses time-domain gating to produce measurements that are dominated by the response of the sensor coil and are immune to surrounding object interference. For application in structural health monitoring a low cost embeddable coupled coil sensor, which is able to monitor the corrosion potential of reinforcement steel is presented. Results of an accelerated corrosion test using the sensor indicate that corrosion potential can be monitored with a resolution less than 10 mV and a sensitivity of 0.76 kHz/mV. The last part describes a coupled-coil pH sensor based on pH electrode potential measurement. A linear response over a 4 to 10 pH dynamic range and 50 kHz/pH sensitivity are achieved with a 0.1 pH resolution and 30 s response time.

Die vorliegende Dissertationsschrift umfasst die bilanzielle Behandlung des Goodwills nach internationalen Rechnungslegungsstandards. Dabei werden akademische und praxisnahe Fragestellungen berücksichtigt. Der Grundlagenteil illustriert vorhandene Ermessensspielräume für die Bilanzierenden im Rahmen der Ermittlung beizulegender Zeitwerte und Werthaltigkeitsprüfungen. Weiterführend werden zur Goodwill-Bilanzierung bestehende Lücken in den Rechnungslegungsstandards bzw. im einschlägigen Schrifttum identifiziert und diskutiert. Im Ergebnis soll die Dissertation einen Beitrag zur kritischen Würdigung ausgewählter Aspekte der Goodwill-Bilanzierung auf Basis der internationalen Rechnungslegungsstandards leisten und gezielt Lösungsvorschläge und Verbesserungsmöglichkeiten aufzeigen.