Orientador: Anita Jocelyne Marsaioli / Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Química / Made available in DSpace on 2018-08-22T20:13:36Z (GMT). No. of bitstreams: 1 Lima_MariaLairSaboiadeOliveira_M.pdf: 6354441 bytes, checksum: 7cd17cb17f36613aa4366697163fbb5a (MD5) Previous issue date: 2013 / Resumo: O uso de catalisadores biológicos é importante na academia e na indústria, pois une o ecologicamente correto com o ecologicamente viável. Assim, a busca por novas rotas reacionais viáveis e menos poluentes se enquadra no contexto da química verde, onde o ambiente e os rejeitos são levados em consideração. Com base nestes princípios o presente trabalho visa avaliar o perfil enzimático de micro-organismos provenientes de rejeitos de mineração da Mina do Sossego (Canaã dos Carajás ¿ PA), pertencente à "VALE". Após o isolamento e preservação, as cepas foram caracterizadas por espectrometria de massas, com a técnica MALDI-TOF, onde foram encontradas bactérias dos gêneros Pseudomonas sp., Bacilus sp., Acinetobacter sp., Delfitia sp. e Escherichia sp. As atividades enzimáticas foram avaliadas através de uma triagem rápida e eficiente (HTS, high throughput screening) utilizando sondas fluorogênicas não comerciais baseadas na umbeliferona. Dos 228 micro-organismos isolados, 156 tiveram suas atividades enzimáticas avaliadas das quais 70 apresentaram atividade para esterases, 80 para lipases, 11 para epóxi-hidrolases e 53 para mono-oxigenases. Ainda com base no princípio da triagem enzimática de alto desempenho, foram sintetizadas sondas fluorogênicas quirais e um composto competidor para implementação de uma metodologia conhecida como Quick-E. Esta metodologia visa uma avaliação rápida da enantiosseletividade de esterases em células íntegras através de medidas das velocidades iniciais das biorreações com as sondas fluorogênicas quirais avaliadas separadamente / Abstract: Biocatalysts are important in academia and industry joining the ecological friendly to the ecological safe and efficient processes. Thus, the search for new synthetic routes and reactions producing less hazardous residues fits into the principles of green chemistry as environment and residues are taken into consideration. Based on these principles, present study aims at the enzymatic profiling of microorganisms (156 strains) from cooper mine (Sossego¿s mine, Canaã dos Carajás- PA), belonging to VALE. After isolation (228 microorganisms) and preservation, the strains were characterized by mass spectrometry (MALDI-TOF, 62 strains), being characterized bacterias Pseudomonas sp., Bacilus sp., Acinetobacter sp., Delfitia sp. and Escherichia sp.. The enzymatic activities were evaluated by a high throughput screening using fluorogenic probes based on umbelliferone. Outstanding enzymatic activities of these 156 micro-organisms were: esterases (70), lipases (80), epoxy hydrolases (11) and monooxygenases (53). Additionally the implementation of a novel Quick-E methodology with chiral fluorogenic probes and a competitor will allow the rapid evaluation of esterases enantioselectivities in whole cells by measuring inicial rates of bioreactions in micro scale reactions / Mestrado / Quimica Organica / Mestra em Química

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Mit der COVID-19-Pandemie erlebte das Geschäftsmodell des Quick-Commerce, das auf schnelle Lebensmittellieferungen setzt, einen regelrechten Boom. Heute hat sich der Markt weitgehend konsolidiert, und die verbleibenden Anbieter kämp-fen mit der geringen Profitabilität des Geschäfts. Vor diesem Hintergrund unter-sucht die vorliegende Arbeit, ob die Zahlungsbereitschaft der Konsumenten eine Preiserhöhung zulässt und welche Zielgruppen besonders attraktiv sind. Zu die-sem Zweck wurden eine Online-Umfrage und eine Preiserhebung durchgeführt. Die Ergebnisse deuten darauf hin, dass die Liefergeschwindigkeit, die Bedarfssitu-ation und der Warenkorbwert entscheidende Faktoren für die Zahlungsbereit-schaft sind. Darüber hinaus scheint ein Zusammenhang zwischen der Zahlungsbe-reitschaft und Merkmalen wie Alter, Haushaltsgröße und Wohnort zu bestehen. Jedoch übersteigt der aktuelle Marktpreis bei einem Großteil der Befragten bereits die individuelle Zahlungsbereitschaft. Die Ergebnisse liefern wichtige Erkenntnisse für die Praxis und beleuchten ein bisher wenig erforschtes Themenfeld.:1. Einleitung 2. Theorie und Forschungsstand 2.1. Online-Lebensmittelhandel 2.2. Quick-Commerce 2.3. Zahlungsbereitschaft 2.3.1. Theoretische Grundlagen 2.3.2. Methoden zur Messung individueller Zahlungsbereitschaften 2.3.3. Zahlungsbereitschaft im Online-Lebensmittelhandel 2.4. Hypothesenentwicklung 3. Erhebung von Zahlungsbereitschaften 3.1. Methode 3.1.1. Untersuchungsdesign 3.1.2. Operationalisierung 3.1.3. Fragebogenentwicklung 3.1.4. Stichprobe und Datenerhebung 3.1.5. Datenaufbereitung 3.1.6. Datenanalyse 3.2. Ergebnisse 3.2.1. Beschreibung der Stichprobe 3.2.2. Überprüfung der Hypothesen 3.2.3. Weiterführende Analysen 4. Erhebung aktueller Marktpreise 4.1. Methode 4.1.1. Produktpreise 4.1.2. Liefergebühren 4.2. Ergebnisse 4.2.1. Produktpreise 4.2.2. Liefergebühren 4.2.3. Gesamtpreis 5. Diskussion 5.1. Interpretation der Ergebnisse 5.2. Limitationen 5.3. Praktische Implikationen / The COVID-19 pandemic led to a significant boom in the business model of quick commerce, which focuses on fast grocery deliveries. Today, the market has largely consolidated, and the remaining providers are struggling with the low profitability of the business. Against this background, this study investigates whether con-sumers' willingness to pay allows for a price increase and which target groups are particularly attractive. For this purpose, an online survey and a price analysis were conducted. The results indicate that delivery speed, the urgency of need, and the shopping basket value are key factors influencing willingness to pay. Additionally, there appears to be a correlation between willingness to pay and characteristics such as age, household size, and place of residence. However, the current market price already exceeds the individual willingness to pay for the majority of respond-ents. The findings provide valuable insights for practical application and shed light on a relatively under-researched field.:1. Einleitung 2. Theorie und Forschungsstand 2.1. Online-Lebensmittelhandel 2.2. Quick-Commerce 2.3. Zahlungsbereitschaft 2.3.1. Theoretische Grundlagen 2.3.2. Methoden zur Messung individueller Zahlungsbereitschaften 2.3.3. Zahlungsbereitschaft im Online-Lebensmittelhandel 2.4. Hypothesenentwicklung 3. Erhebung von Zahlungsbereitschaften 3.1. Methode 3.1.1. Untersuchungsdesign 3.1.2. Operationalisierung 3.1.3. Fragebogenentwicklung 3.1.4. Stichprobe und Datenerhebung 3.1.5. Datenaufbereitung 3.1.6. Datenanalyse 3.2. Ergebnisse 3.2.1. Beschreibung der Stichprobe 3.2.2. Überprüfung der Hypothesen 3.2.3. Weiterführende Analysen 4. Erhebung aktueller Marktpreise 4.1. Methode 4.1.1. Produktpreise 4.1.2. Liefergebühren 4.2. Ergebnisse 4.2.1. Produktpreise 4.2.2. Liefergebühren 4.2.3. Gesamtpreis 5. Diskussion 5.1. Interpretation der Ergebnisse 5.2. Limitationen 5.3. Praktische Implikationen

Thesis advisor: Julie Holland Mortimer / Television ads have become as much a part of watching TV as the programs themselves. They are such a ubiquitous component of network and cable television that they have developed their own sub-culture; popular commercials get brought up in conversation, and many commercial actors become famous for portraying their respective characters. For how prevalent television advertising is and always has been, though, it’s amazing how little is known about advertiser demand. While many academics have conducted studies on the effects of advertising, little research has been steered towards understanding why advertisers choose to advertise when they do, especially within the context of advertising on TV. My research revolves around answering this question, as I attempt to establish patterns that can predict when firms will choose to advertise. By looking at data on past advertising trends, I try to find a sense of consistency across firms and across industries and then use that information to analyze and explain any observed changes in behavior during highly rated telecasts. / Thesis (BA) — Boston College, 2016. / Submitted to: Boston College. College of Arts and Sciences. / Discipline: Departmental Honors. / Discipline: Economics.

The North Carolina State Highway Patrol (NCSHP) and the North Carolina Department of Transportation (NCDOT) are often called upon to assist in traffic incidents. Yet little systematic research has examined the extent to which these two agencies collaborate. This gap in understanding is problematic, as a lack of collaboration may result in significant delays in the clearing of traffic incidents. The purpose of this correlational study was to investigate circumstances when the two agencies collaborated in clearing major traffic incidents, and the efficiency of the clearance of the incidents, through the measurement of normal traffic flow. The theory of the convergence of resources from divergent organizations framed the study. The research questions addressed the extent of collaboration between the NCSHP and the NCDOT, the conditions under which this collaboration took place, and the efficiency of the clearance of these incidents. Data were obtained from the NCSHP and the NCDOT on characteristics of 1,580 traffic incidents that occurred on the North Carolina portion of Interstate 95 during the year 2014. The data were analyzed using chi-square tests, analyses of variance, and Z-tests for proportions. Collaboration between the two agencies occurred in 7.2% of all of the incidents and in 21.6% of incidents of major severity (p < .001), which indicated a low level of interagency collaboration. The mean clearance time for incidents in which collaboration took place was 115.92 minutes compared to a national goal of 90 minutes. It is hoped that these results can contribute to policy dialogue relevant to the state's Strategic Plan, leading to safer highways and less financial loss due to congestion caused by traffic incidents.

Issues related to global warming and weather changes have forced people start to pay attention to energy saving. We expect that Smart Home Energy Management (SHEM) would be an important development over the next decade. In some environments cost is important, in other environments living quality is important and in other environments a tradeoff between cost and living quality is important. SHEM means being able to manage electrical loads so as to meet different purposes in homes. In this thesis, we develop a SHEM to curtail some electrical loads at peak time to meet predefined circuit level demand limits while minimizing the effect on users¡¦ living quality. The core of our SHEM is an electrical control loop which is developed based on heuristic modifications through lots of case studies and trials. To this end, we study several utilization characteristics of household loads including air conditioning, water heaters clothes dryers, and electric vehicles and model their behaviors through computer simulations. Finally, we implement the whole ideal of our SHEM in LabVIEW (Laboratory Virtual Instrument Engineering Workbench). Several simulations are conducted to verify the robustness and efficiency of our SHEM. keyword : Quick Charge,Load Priority,Convience Preference,Severity Indices,Duration Indices.

In recent years, the music has become more popular due to the evolution of the technology. Various kinds of music around us become more complexity and huge. This explosive growth in the music has generated the urgent need for new techniques and tools that can intelligently and automatically transform the music into useful information, and classify the music into correct music groups precisely. The rhythm query is the fundamental technique in music genre classification and content-based retrieval, which are crucial to multimedia applications. Recently, Christodoulakis et al. has proposed the CIRS algorithm that can be used to classify music duration sequences according to rhythms. In the CIRS algorithm, a rhythm is represented by a sequence of ¡§Quick¡¨ (Q) and ¡§Slow¡¨ (S) symbols, which corresponds to the (relative) duration of notes, such that S = 2Q. In order to classify music by rhythms, the CIRS algorithm locates the MaxCover which is the maximum-length substring of the music duration sequence, which can be covered (overlapping or consecutively) by the rhythm query continuously. During the matching step, one S symbol in the rhythm query can be regarded as two consecutive Q symbols in the duration sequence, but the two consecutive Q symbols in the rhythm query can not be combined as one S symbol in the duration sequence. This definition causes the difficulty for designing the algorithm. The CIRS algorithm contains four steps and repeat Steps 2, 3, and 4 to get local MaxCover for each different duration value of the music duration sequence. Finally, the global MaxCover is computed. We observe that it will generate unnecessary results repeatedly among Steps 2, 3, and 4. Therefore, in this thesis, to avoid repeatedly processing Steps 2, 3, and 4 for each different duration value, we propose the JMC (Jumping-by-MaxCover) algorithm which provides a pruning strategy to find the MaxCover incrementally, resulting in the reducing of the processing cost. In fact, we can make use of the relationship between the MaxCover MX founded by a different duration value X, and use the duration sequences cut by such a different duration value X to reduce the unnecessary process for the other different duration value Y , where Y < X. To make use of this property to reduce the processing time, we propose a cut-sequence structure and update it incrementally to compute the final global MaxCover. In this way, we can skip many steps and find the same answer of the CIRS algorithm. From our simulation results, we show that the running time of the JMC algorithm could be shorter than that of the CIRS algorithm. When the largest different duration value is uniformly distributed in the duration sequence, the running time can be reduced hugely, which is the best case of our proposed JMC algorithm.

Advertising is an important mechanism by which firms are able to communicate with their current and potential consumers. An advertising campaign may satisfy a multitude of objectives for a firm. Namely, advertising can be used to create awareness for a product or brand. It may be used to inform consumers about the usage features and benefits specific to a brand or a given product, or generate favorable attitudes and preferences amongst customers. Additionally, advertising may aim to persuade consumers towards trial or purchase. All these objectives enhance e consumers’ response towards the firm and its products/brands, and in turn, advertising helps to achieve sales for the advertised firm in the long run. This dissertation examined the relationship between advertising expenditures and sales revenue at the aggregate and brand level for the Quick Service Restaurant (QSR) industry in the United States from 1986 to 2007. Two main objectives of this study were to: 1) analyze the relationship between advertising expenditures and sales revenue within the QSR industry; and 2) provide analysis of the relationship between advertising and sales revenues for leading QSR firms, in the United States during the observed period. Thus, the current study provides the most comprehensive analysis of the relationships between advertising and sales in the QSR industry to date. Hypotheses were tested by time series analysis. Specifically, a stepwise regression analysis with backwards elimination of non-significant predicators was utilized to select a set of statistically significant predictor variables. This study controlled for factors expected to affect sales revenues such as population size, price and inflationary effects. Findings from this study indicate that aggregate advertising expenditures and aggregate sales for the QSR industry in the United States were significantly and positively related from 1986 to 2007. This is the first study to examine this relationship over such an extended period of time—twenty-two years. Results from brand level show a positive and significant relationship between advertising expenditures and sales revenues for certain QSR brands. Additional analysis, explored the relationship between advertising expenditures and another measure of consumption, market share, for QSR firms in the United States during 1986 to 2007. Results from this set of analysis, demonstrated a positive and significant relationship between electronic advertising expenditures and market share for several QSR brands. A Chow test (Chow, 1960) was also conducted on the brand level models to test for the presence of structural breaks in the data. Other means of analysis are also offered, and the implications of the results to research and theory are drawn. The study also identified future directions for research. / text

This report explains what Quick Response Codes are, their history and how they work. It introduces and compares several alternative ways, in addition to QR codes, for consumers to initiate the mobile communication process. Actual use of QR codes in print advertising, outdoor advertising, product packaging and other mediums exemplify how advertisers can use QR codes to integrate traditional media with interactive media, how users respond and interact with QR codes, and how they can be used effectively and creatively in today’s emerging media landscape. / text