Organic photovoltaic cells (OPV’s), renewable energy devices that can convert sunlight into electricity, have a bright future. Most OPV’s are made of conjugated polymers since they can absorb light and have semiconducting properties. However, the low power conversion efficiency (PCE) of OPV’s is a challenge in their development. The main structure of OPV’s includes three main parts: an electron donor, an electron acceptor, and electrodes. To improve the PCE of an OPV, many factors need to be considered, such as light absorption, the fundamental gap, the optical gap, and the OPV’s film thickness. The addition of heteroatoms to conjugated polymers is a way to change the electronic properties of the donors and may improve the PCE. This thesis describes the use of computational methods to determine how oxygen and sulfur atoms affect the electronic properties of a conjugated polymer. The data suggest that the fundamental gaps and binding energies decrease after replacing oxygen with sulfur. Additionally, the results also suggest that incorporating a sulfur atom into the conjugated polymer can increase the dipole moment change, which may lead to accelerated charge dissociation and may reduce charge recombination.

The reveal is an important architectural element. In many buildings, reveals define transitions between dissimilar materials, textures, finishes or planes. A reveal can also be thought of as a gap. Webster's dictionary defines a gap as "an opening made by breaking or parting." Often the word "gap" is associated with a deficiency or failure, but a gap similar to a reveal, can be intentional and essential to the success of a building. The visually impaired experience a "gap" with the sight-seeing public. They cannot see the spaces architecture creates and are forced to rely on other auditory and tactile clues to gain an understanding of the space they occupy including their orientation within it. This thesis explores the idea of a gap and attempts to bridge the "gap." / Master of Architecture

Gap Junctions als wichtigste Elemente der Zelle zur Ermöglichung einer interzellulären Kommunikation erlauben eine koordinierte Antwort auf externe und interne Stimuli und somit ein Zusammenspiel von Zellgruppen und Organen im Gesamtorganismus. In der vorliegenden Arbeit wurde der Einfluss einer mittelfristigen und chronischen Stimulation neonataler Rattenkardiomyozyten durch Insulin und den Wachstumsfaktoren Insulin-like Growth Factor-1 (IGF-1), Vascular Endothelial Growth Factor (VEGF), Transforming Growth Factor-β (TGF-β) und Fibroblast Growth Factor-2 (FGF-2) auf die Expression der Connexine 40, 43 und 45 untersucht. Dabei zeigte sich unter der Insulin-Stimulation eine konzentrationsabhängige Regulation der Connexin 43 (Cx43) Expression. Die Exposition gegenüber IGF-1 hatte einen signifikanten Anstieg der Cx43 Proteinmenge zur Folge. Unter 24stündiger VEGF- oder FGF-2-Stimulation fand sich dagegen diesbezüglich kein relevanter Unterschied. Die Analysen nach langfristiger Exposition gegebenüber TGF-β zeigten eine signifikante Abnahme der Cx43 Proteinmenge bei unveränderter Cx43 mRNA. Zur Erfassung mittelfristiger Veränderungen wurden die Kardiomyozyten jeweils 3 Stunden mit den Wachstumsfaktoren VEGF und TGF-β inkubiert. Dabei zeigte sich jeweils eine signifikante Zunahme der Cx43 Proteinmenge und –mRNA. Die Connexine 40 und 45 waren in den ventrikulären Kardiomyozyten nur spärlich nachweisbar und durch keinen der untersuchten Faktoren signifikant induzierbar.

by Hu Xiao Ling. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1999. / Includes bibliographical references (leaves 103-111). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Basic Physiology of the Nervous System --- p.1 / Chapter 1.1.1 --- Membrane Potential and Its Propagation --- p.2 / Chapter 1.1.2 --- Cellular Communication --- p.3 / Chapter 1.2 --- Background of Neural Modeling --- p.5 / Chapter 1.2.1 --- Models for Membrane --- p.5 / Chapter 1.2.2 --- The Models for Gap Junctions --- p.9 / Chapter 1.2.3 --- A Study on the Pulse Train --- p.11 / Chapter 1.3 --- Main Purposes of the Study --- p.14 / Chapter 1.4 --- Organization of Thesis --- p.15 / Chapter 2 --- Electrical Synaptic Model --- p.17 / Chapter 2.1 --- Introduction --- p.17 / Chapter 2.2 --- Model Description --- p.19 / Chapter 2.2.1 --- An Introduction of the Active Membrane Model --- p.19 / Chapter 2.2.2 --- The Electrical Synaptic Model --- p.25 / Chapter 2.3 --- Numerical Calculation --- p.32 / Chapter 2.4 --- Simulation Results --- p.37 / Chapter 2.5 --- Discussion --- p.44 / Chapter 3 --- Analysis of the Synaptic Model --- p.46 / Chapter 3.1 --- Introduction --- p.46 / Chapter 3.2 --- Time Constant Analysis --- p.48 / Chapter 3.2.1 --- Junctional Time Constant in Bennette's Model --- p.48 / Chapter 3.2.2 --- The Junctional Time Constant in Our Model --- p.52 / Chapter 3.3 --- Model Reconstruction --- p.57 / Chapter 3.4 --- Discussion --- p.62 / Chapter 4 --- Action Potential Train Transmission Analysis --- p.69 / Chapter 4.1 --- Theoretical Analysis on the Refractory Period at the Post-membrane --- p.70 / Chapter 4.1.1 --- Introduction of Membrane Threshold and Refractory Period --- p.71 / Chapter 4.1.2 --- Stochastic Models of Neuron Firing --- p.73 / Chapter 4.1.3 --- Effect of Refractory Period on the p.d.f. of Poisson Process --- p.78 / Chapter 4.2 --- Simulation of the Action Potential Train Transmission --- p.85 / Chapter 4.2.1 --- Effects of the Model Parameter on the Action Potential Train Transmission --- p.90 / Chapter 4.2.2 --- Effects of the Refractory Period of the Post-membrane on the Action Potential Train Transmission --- p.94 / Chapter 4.3 --- Results --- p.96 / Chapter 4.3.1 --- Section Summary --- p.98 / Chapter 5 --- Conclusions and Future Studies --- p.99 / Chapter 5.1 --- Conclusions of Major Contributions --- p.99 / Chapter 5.2 --- Topics for Future Studies --- p.101

Learners often have difficulty finding and retrieving relevant learning materials to support their learning goals because of two main challenges. The vocabulary learners use to describe their goals is different from that used by domain experts in teaching materials. This challenge causes a semantic gap. Learners lack sufficient knowledge about the domain they are trying to learn about, so are unable to assemble effective keywords that identify what they wish to learn. This problem presents an intent gap. The work presented in this thesis focuses on addressing the semantic and intent gaps that learners face during an e-Learning recommendation task. The semantic gap is addressed by introducing a method that automatically creates background knowledge in the form of a set of rich learning-focused concepts related to the selected learning domain. The knowledge of teaching experts contained in e-Books is used as a guide to identify important domain concepts. The concepts represent important topics that learners should be interested in. An approach is developed which leverages the concept vocabulary for representing learning materials and this influences retrieval during the recommendation of new learning materials. The effectiveness of our approach is evaluated on a dataset of Machine Learning and Data Mining papers, and our approach outperforms benchmark methods. The results confirm that incorporating background knowledge into the representation of learning materials provides a shared vocabulary for experts and learners, and this enables the recommendation of relevant materials. We address the intent gap by developing an approach which leverages the background knowledge to identify important learning concepts that are employed for refining learners' queries. This approach enables us to automatically identify concepts that are similar to queries, and take advantage of distinctive concept terms for refining learners' queries. Using the refined query allows the search to focus on documents that contain topics which are relevant to the learner. An e-Learning recommender system is developed to evaluate the success of our approach using a collection of learner queries and a dataset of Machine Learning and Data Mining learning materials. Users with different levels of expertise are employed for the evaluation. Results from experts, competent users and beginners all showed that using our method produced documents that were consistently more relevant to learners than when the standard method was used. The results show the benefits in using our knowledge driven approaches to help learners find relevant learning materials.

ETH, Diss.--Zürich, 2007.

Konkurrensen inom detaljhandeln blir allt hårdare, både från andra butiker men även från e-handeln, vilket sätter press på fysiska butiker att ha nöjda kunder som fortsätter handla i butiken. Ett tillvägagångssätt för att möta den hårdnande konkurrensen är att ha en butiksmiljö s.k. servicescape som är utformad efter kundernas behov, vilket dock förutsätter att handlarna vet vilka behov sina kunder har. Har handlarna en felaktig uppfattning om kundernas behov föreligger det ett gap som minskar chansen att kunderna blir nöjda och därmed butikens konkurrenskraft. En avgränsning gjordes till klädbutiker, då klädbutiker är bland de butikstyper som är mest konkurrensutsatt. Syftet med uppsatsen var att kartlägga hur kundernas behov överensstämmer eller skiljer sig från handlarnas uppfattning om deras behov. För att uppfylla syftet tillämpades en kvalitativ metod men med en statistisk bearbetning dvs. en kvantitativ bearbetning då resultatet redovisades med hjälp av frekvenser och värden på en skala. Datainsamlingsverktyget som användes var enkäter och utformades efter de tio faktorerna som sammanställdes i den teoretiska referensramen. Enkäterna delades ut till både kunder och handlare i Borlänges stadskärna och Faluns stadskärna. Resultatet av uppsatsen visade att det för faktorerna ljus (4,2), trängsel (4.5) (4.6), Ljud (4.7), toaletter (4.9), (4.10) finns en skillnad ett s.k. gap mellan handlarnas uppfattning om kundernas behov och vad kundernas behov egentligen är. Det framkom även att handlarna ansåg att kunderna har större behov av att faktorerna rent & städat (4.3), (4.4) in & utgångar (4.8) är tillfredsställande än vad kunderna egentligen har. Det framkom precis som behandlades i den teoretiska referensramen att kundernas behov tenderar att variera utifrån deras demografiska faktorer ålder och kön. Om handlarna har en låg, medel eller hög prisnivå påverkade även det hur viktigt det är för kunderna att faktorerna är tillfredsställande. Slutsatsen som författarna identifierade var att det föreligger ett gap mellan handlarnas uppfattning om kundernas behov och vad kunderna anser att deras behov är gällande flera av faktorerna. Detta är dock något som kunderna säger vilket inte behöver stämma överrens med hur de verkligen tycker. Det är dock svårt att urskilja något mönster gällande gapen utan det är nästan enbart tendenser man kan urskilja, vilket gör att varje faktor bör analyseras individuellt. / The competition within the retail market is increasing, both from other retail stores but even from the fast growing internet trade, which puts pressure on the physical stores to have satisfied customers that continues to shop in the store. An approach to face the increasing competition is to have a servicescape that is designed to face the customers’ needs, which assume that the traders knows what their customers’ needs are. If the traders have wrong perception about the needs of their customers there might be a gap that decreases the chance the customers will be satisfied and with it the competitiveness of the stores. A definition has been made to clothing stores, because those are among the stores that are the most exposed to competition. The purpose of this paper have been to map how the customers’ needs agree with or differentiate from what the traders thinks theirs customers needs are. In order to fulfill the purpose a qualitative method with a statistic adaptation i.e. a quantitative adaptation were the results are shown with the help of frequencies and value on a scale was applied. Data was collected with questioners which were designed based on the ten factors that were put together in the theoretical framework. The questioners were shared to both customers and traders in the center of Borlänge and the center of Falun. The result analysis shows that for the factors light (4.2), press (4.5), (4.6), sound (4.7), toilets (4.9), (4.10) a gap existed between the traders perception about the customers’ needs and the reality of those needs. It was also shown that the traders perception for the factors cleaned (4.3), (4.4), entrance & exits (4.8) were even higher than what the customer’s needs really are. The result analysis also shows that the customers’ needs are affected by the customers’ demographic factors age and gender just as it had been discussed in the theoretical framework. The price level of the clothing stores also affected the customers’ expectations of to what degree they could expect to get their needs satisfied as also discussed in the theoretical framework. The conclusion that the authors identified were that there is a gap for the majority of the identified factors between traders’ perception of their customers’ needs and what the customers says that those needs are. Even though the customers say they have those needs it doesn’t mean it agrees with the reality. It´s hard to distinguish any pattern in terms of the gaps, but there is tendencies that can be seen, which results in that each factor should be analyzed individually.

The building sector is responsible for almost a quarter of the total carbon dioxide emissions. The urgency to reduce the emissions is reflected in the stricter guidelines which have been set all over the world. To reduce the building sector’s emissions the energy consumption need to be reduced, which can be done in two ways: building new energy efficient buildings or retrofitting of current buildings. Due to the life expectancy of current building stock the largest savings before 2030 will be made through retrofits. For this reliable computational tools are required, and currently there is a gap between the predicted and actual performance of retrofitted buildings. This thesis is going to look into how the computational method is contributing to the performance gap. A building at the RMIT campus in Melbourne, Australia, which is going to be retrofitted through retrofits designed by Siemens, is used. A thermal simulation model of the building was built, and tuned to reflect the pre-retrofit building, and compared against the measured energy performance of the building. The retrofits were then implemented in the simulation model and the gap in the predictions between the simpler computational method used by Siemens in designing the retrofits, and the extensive simulation model was compared. The gap between the computational methods were analysed in order to see how Siemens calculation method contribute to the performance gap. The conclusions which have been drawn are that the simulation model is reflecting the energy use of the building well considering the access of data available during the study. Especially the electricity use is reflected well both in the total annual use, approximately 4 % gap to measured value, and the monthly variation over the year. The total natural gas use is under predicting the annual use, approximately 40 % gap to the measured value, but shows a good correlation to the monthly variation. The electricity use is relatively stable in the simulation model, where the natural gas was sensitive for direct changes to the heating system. The input parameters which have the largest impact in the electricity use are internal gain profiles and the electrical internal gains energy use. Siemens calculation method are contributing to the performance gap through the lack of interaction between the different retrofits, the light retrofit have a noticeable impact on the heating and cooling system of the building. To only use one single period in the regression models can also easily lead to incorrect predictions. The strength of the simulation model is its ability to see the retrofits influence on each other and the possibility for scenario analysis. / Byggnadssektorn är ansvarig för nästan en fjärdedel av de totala globala koldioxidutsläppen. Viljan att minska utsläppen kan ses i de allt striktare riktlinjer som sätts över hela världen. För att reducera utsläppen finns det två sätt: bygga nya energieffektiva byggnader eller ombyggnation av nuvarande byggnader. Livslängden på nuvarande byggnadsbestånd innebär att de största besparingarna innan 2030 kommer att ske inom ombyggnationer. För detta krävs tillförlitliga verktyg, och i nuläget finns det ett gap mellan byggnaders förutspådda och verkliga energiprestanda. I denna examensuppsatts kommer beräkningsmetodens inflytande över detta gap att undersökas. En byggnad på RMIT:s campus i Melbourne, Australien, som kommer att undergå en ombyggnation som designats av Siemens har använts. En termisk simuleringsmodell av byggnaden skapades och avstämdes mot den verkliga byggnaden, och jämfördes mot uppmätta värden av byggnadens energiprestanda. Ombyggnationerna var sedan implementerade och skillnaden mellan den förutspådda prestandan av byggnaden, genom den omfattande simuleringsmodellen och den enklare beräkningsmetoden som användes av Siemens, jämfördes. Genom att analysera gapet mellan de olika beräkningsmetoderna kunde slutsatser dras angående hur de kan bidra till gapet i energiprestanda. Slutsatserna från arbetet är att simuleringsmodellen ger en bra bild av energianvändningen av byggnaden, med hänsyn till informationen som varit tillänglig. Byggnadens totala uppmätta elektricitetsanvändning är speciellt väl överrensstämmande med simuleringsmodellens resultat både i den årliga användningen, ca 4 % skillnad från uppmätta värden, och variationen över ett år. Den totala användningen av naturgas enligt simuleringsmodellen är under de uppmätta värdena med en skillnad på ca 40 %, men med en god överrensstämmelse med den årliga variationen. Användningen av elektricitet i modellen är relativt stabil, användningen av naturgas är känslig för direkta ändringar till uppvärmningssystemet. Inputparametrarna som har störst inverkan på elanvändningen är interna, energiproducerande och konsumerande, enheters användningsprofil (PC, personer, ljus m.m.), el konsumtion, och latenta samt sensibla värme. Siemens beräkningsmetod bidrar till gapet mellan förutspådda och verkliga energiprestanda genom brist på samverkan mellan de olika delarna i ombyggnationen. Ombyggnationen som innebär uppgradering av byggnadens belysning innebär exempelvis märkbara skillnader i byggnadens uppvärmnings- och kylsystem. Användningen av endast en period i skapandet av regressionsmodeller för att förutspå vattenkokarnas och kylarnas användning leder även till en missledande framtida energiproduktion. Styrkan i simuleringsmodellen är möjligheten till samverkan mellan olika ombyggnationer påverkan på varandra samt möjligheten till scenarioanalys.

Increasing the power density of the DC-DC converters requires the size and weight of the magnetic components, such as inductors and transformers, to be reduced. In this thesis, the losses in nanocrystalline inductor cores are characterised and analysed, including the traditional core loss and the gap loss caused by the air gap fringing flux. The loss calculations will form a basis for the design and optimisation of high power inductors for DC-DC converters for EV applications. This thesis first characterises experimentally the core losses in four nanocrystalline cores over a range of operating conditions that are representative of those encontered in typical high power converter applications, including non-sinusoidal waveforms and DC bias conditions. The core losses are assessed by the measured B-H loops and are characterised as a function of DC flux density, showing that for a fixed AC induction level, the losses can vary by almost an order of magnitude as the DC bias increases and the duty ratio moves away from 0.5. The results provide a more complete picture of the core loss variations with both DC and AC magnetisations than is available in manufactures’ data sheets. An electromagnetic finite element (FE) model is used to examine the gap loss that occurs in finely laminated nanocrystalline cores under high frequency operation. The loss is significant in the design example, contributing to almost half of the total inductor loss, and the gap loss is highly concentrated in the region of the air gap. The dependence of the gap loss on key inductor design parameters and operating condtions is also explored. An empirical equation is derived to provide a design-oriented basis for estimating gap losses. Thermal finite element analysis is used to estimate the temperature rise and identify the hot spot in a nanocrystalline inductor encapsulated in an alumimium case. The temperature distribution in the core largely corresponds to the non-uniform distribution of the gap loss. The thermal FEA can also be used to evaluate different thermal management methods to optimise the design for a more compact component. The FE modelling of gap loss and the thermal predictions are validated experimentally on a foil-wound Finemet inductor, showing good agreement between the predictions and measurements under various operating conditions.

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