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Cadiz, Horacio T. "The development of a CHAID-based model for CHITRA93." Master's thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-04272010-020155/.
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ESTRADA, Gabriela del Carmen Calderón. "Árvore de decisão aplicada à análise de risco da severidade da ferrugem do cafeeiro na Guatemala." Universidade Federal Rural de Pernambuco, 2015. http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/6067.
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Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPq
The rust, caused by the fungus Hemileia vastatrix Berk & Br., is the main disease of coffee (Coffea arabica L.) in Latin America. The principal damage caused is defoliation and death of lateral branches, which causes premature fruit losses. Guatemala produces coffee in 270,000 hectares, and near of the 82% is cultivated with susceptible varieties to coffee rust races. Coffee rust epidemic is a complex process based on the relationships between the environment, plant growth, and crop practices. The objective of this study was to develop models for risk analysis based on decision trees in order to understand how cropping patterns determine the progress of the disease in Guatemala to identify and prioritize the important factors. For this work were used 1215 observations, obtained in 35 coffee plots from April 2013 to December 2014. The modeled variable was the leaf severity. Using the CHAID (Chi-Square Automatic Interaction Detection) algorithm were developed two decision trees. The first predicts leaf severity in plots where the producer does not follow the disease, while the second requires rust monitoring 28 days before the date of the severity risk analysis. In the trees, the main predictor was the fungicide spraying per year. The following predictor variables on the tree were related with the tissue availability for new infections, which also stimulates microenvironments with high relative humidity, warm temperatures, and foliar wetness prevalence. Only for non-monitoring tree was included the average rainfall, which suggests that climate relationship with the epidemic, is at microclimate level. The tree for plots with disease monitoring includes in all levels the 28 before severity and replaced management or climate variables getting similar predicted values. The accuracy of the tree for monitored plots was 65.85% with an estimated accuracy by cross validation of 73.34%, and for the monitored plots, the accuracy was 62.53% and 68.54%, respectively. Risk analysis models prove to be tools of support in making management decisions to implement the control of coffee rust and allow list in order of importance, management practices, and climatic factors that influence disease severity in different crop patterns.
A ferrugem do cafeeiro, causada pelo fungo Hemileia vastatrix Berk & Br., é a principal doença do cafeeiro (Coffea arabica L.) na América Latina. O principal dano é desfolha e morte de ramos laterais, que provocam perdas prematuras de frutos. A Guatemala produz café em 270.000 hectares, sendo que cerca de 82% é cultivado com variedades suscetíveis às raças de ferrugem. A epidemia da ferrugem é um processo complexo baseado nas relações entre ambiente, crescimento da planta, e práticas de manejo. O objetivo deste estudo foi desenvolver modelos para análise de risco baseados em árvores de decisão, a fim de entender como os padrões de cultivo determinam o progresso da doença na Guatemala para identificae e priorizar os fatores importantes. Para este trabalho foram utilizadas 1215 observações, obtidas de 35 lavouras de abril de 2013 a dezembro de 2014. A variável modelada foi a severidade da folha. Utilizando o algoritmo CHAID (Chi-Quadrado Detecção Automatic Interaction), foram desenvolvidas duas árvores de decisão. A primeira árvore permite prever a severidade na folha nas parcelas em que o produtor não realiza acompanhamento da doença, enquanto a segunda requer o monitoramento da ferrugem 28 dias antes da data da análise de risco da severidade. Nas árvores, o principal preditor foi o número de aplicações de fungicida por ano. As seguintes variáveis preditoras na árvore foram relacionadas com disponibilidade de tecido para novas infecções, que podem favorecem a formação de microambientes com alta umidade relativa, temperaturas amenas e prevalência da molhadura folhar. Apenas para a árvore de não monitoramento foi incluída a variável da precipitação média, o que sugere que a relação do clima é em nível microclimático. A árvore com monitoramento inclui em todos os níveis a severidade aos 28 dias antes e substitui variáveis de manejo ou clima, estimando valores semelhantes. A acurácia da árvore para lavouras não monitoradas foi de 65,85% com uma estimativa de acurácia por validação cruzada de 73,34%. Na árvore para lavouras monitoradas a acurácia foi de 62,53% e 68,54%, respectivamente. Os modelos de análise de risco demonstram ser ferramentas de apoio na tomada de decisões de manejo para implementar o controle da ferrugem do cafeeiro e possibilitam listar, em ordem de importância, as práticas de manejo e fatores climáticos que influenciam na severidade da doença em diferentes padrões do cultivo.
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Herrera, Conislla Diana Marisol. "Técnica de segmentación jerárquica Chaid de clientes para otorgamiento de créditos financieros." Bachelor's thesis, Universidad Nacional Mayor de San Marcos, 2016. https://hdl.handle.net/20.500.12672/6120.
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Desarrolla la técnica de segmentación jerárquica CHAID para determinar la clasificación y predicción en la evaluación del futuro cliente para disminuir los riesgos de morosidad. Para su aplicación, se estudia la clasificación según riesgo crediticio de clientes de una financiera de crédito que trabaja con miembros de la fuerza aérea del Perú. Este tipo de clientes tiene ciertas particularidades que los diferencia de otros ya que se trata de una población con ingresos fijos mediante planilla y con posibilidades de evaluación crediticia real, a pesar de ello, se observa como problema, la presencia de clientes morosos.
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Pasupathy, Kalyan Sunder. "Sustainability of the Service-Profit Chain." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/26257.
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Managers in organizations make investment decisions all the time. These decisions have an impact on the bottom-line profits and on the market penetration of the organization. Some decisions have more impact than others do and not all such decisions are evaluated for their impact. The Service-Profit Chain (SPC) framework brings together several components like operational attributes, customer perceptions, customer behavioral intentions and customer loyalty to evaluate the service operation. This research augments the SPC with another component â uncontrollable factors (environmental variables and competition) that are exogenous to the operation but definitely have an effect on the service delivery process. Further, this research develops a dynamic model to evaluate investments made in operational attributes (e.g. number of tellers in a bank, number of airline flight options to a particular city available to customers) and determine the behavior of customer perceptions, customer intentions, customer loyalty, profit, market penetration and marginal rate of return over time.
The above is accomplished by incorporating a hill-climbing algorithm into the dynamic SPC model. This hill-climbing algorithm senses the current state of the system and compares it to a certain goal to determine the discrepancies and make additional interventions. The objective is to determine an optimal path to steady state and to evaluate if certain goals are realistic. Next, the Service Sustainability Chain is developed to be applicable to training services. This is accomplished by building key relationships specific to training services into separate modules. The Dynamic SPC module is based on the SPC framework. The Customer Base Growth module captures the structure for referrals and how this enables the growth of the customer base mimicking the infectious model for epidemic diseases in the literature.
A methodology based on Chi-Square Automatic Interaction Detection (CHAID) and Structural Equation Modeling (SEM) developed to explore, uncover and identify relationships and mathematical equations is used to determine the structural input-output representation of the SPC. Next, the model and the methodology developed are applied to a case study in a training services organization, simulated and validated.Ph. D.
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Panzera, Anthony Dominic. "Understanding Factors Determining Early Termination from a Government Assistance Program for Maternal and Child Health: The Special Supplemental Nutrition Program for Women, Infants and Children (WIC)." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5616.
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The purpose of this dissertation is to understand why individuals enrolled in the Special Supplemental Nutrition Program for Women, Infants and Children (WIC) fail to retrieve food vouchers, miss WIC appointments, and become inactive in program components. In Kentucky, mothers who fail to pick up food instruments for 60 days are automatically terminated from the program. The specific research questions that guided this study are: (1) Which segments of enrollees are at greatest and least risks of nonparticipation in the WIC program? (2) How do predisposing, enabling and need characteristics impact WIC nonparticipation among eligible mothers? (3) How do WIC enrollees describe their experiences using WIC? (4) What do WIC enrollees report as reasons for nonparticipation while still eligible? Addressing these research questions will inform the development of practical outreach solutions specifically tailored for the purpose of mitigating nonparticipation in WIC and contribute to our understanding of the factors that deter eligible families from using government assistance programs like WIC.
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Fernandes, Fabiano Rodrigues. "Emprego de diferentes algoritmos de árvores de decisão na classificação da atividade celular in vitro para tratamentos de superfícies de titânio." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/165456.
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O interesse pela área de análise e caracterização de materiais biomédicos cresce, devido a necessidade de selecionar de forma adequada, o material a ser utilizado. Dependendo das condições em que o material será submetido, a caracterização poderá abranger a avaliação de propriedades mecânicas, elétricas, bioatividade, imunogenicidade, eletrônicas, magnéticas, ópticas, químicas e térmicas. A literatura relata o emprego da técnica de árvores de decisão, utilizando os algoritmos SimpleCart(CART) e J48, para classificação de base de dados (dataset), gerada a partir de resultados de artigos científicos. Esse estudo foi realizado afim de identificar características superficiais que otimizassem a atividade celular. Para isso, avaliou-se, a partir de artigos publicados, o efeito de tratamento de superfície do titânio na atividade celular in vitro (células MC3TE-E1). Ficou constatado que, o emprego do algoritmo SimpleCart proporcionou uma melhor resposta em relação ao algoritmo J48. Nesse contexto, o presente trabalho tem como objetivo aplicar, para esse mesmo estudo, os algoritmos CHAID (Chi-square iteration automatic detection) e CHAID Exaustivo, comparando com os resultados obtidos com o emprego do algoritmo SimpleCart. A validação dos resultados, mostraram que o algoritmo CHAID Exaustivo obteve o melhor resultado em comparação ao algoritmo CHAID, obtendo uma estimativa de acerto de 75,9% contra 58,6% respectivamente, e um erro padrão de 7,9% contra 9,1% respectivamente, enquanto que, o algoritmo já testado na literatura SimpleCart(CART) teve como resultado 34,5% de estimativa de acerto com um erro padrão de 8,8%. Com relação aos tempos de execução apurados sobre 22 mil registros, evidenciaram que o algoritmo CHAID Exaustivo apresentou os melhores tempos, com ganho de 0,02 segundos sobre o algoritmo CHAID e 14,45 segundos sobre o algoritmo SimpleCart(CART).The interest for the area of analysis and characterization of biomedical materials as the need for selecting the adequate material to be used increases. However, depending on the conditions to which materials are submitted, characterization may involve the evaluation of mechanical, electrical, optical, chemical and thermal properties besides bioactivity and immunogenicity. Literature review shows the application decision trees, using SimpleCart(CART) and J48 algorithms, to classify the dataset, which is generated from the results of scientific articles. Therefore the objective of this study was to identify surface characteristics that optimizes the cellular activity. Based on published articles, the effect of the surface treatment of titanium on the in vitro cells (MC3TE-E1 cells) was evaluated. It was found that applying SimpleCart algorithm gives better results than the J48. In this sense, the present study has the objective to apply the CHAID (Chi-square iteration automatic detection) algorithm and Exhaustive CHAID to the surveyed data, and compare the results obtained with the application of SimpleCart algorithm. The validation of the results showed that the Exhaustive CHAID obtained better results comparing to CHAID algorithm, obtaining 75.9 % of accurate estimation against 58.5%, respectively, while the standard error was 7.9% against 9.1%, respectively. Comparing the obtained results with SimpleCart(CART) results which had already been tested and presented in the literature, the results for accurate estimation was 34.5% and the standard error 8.8%. In relation to execution time found through the 22.000 registers, it showed that the algorithm Exhaustive CHAID presented the best times, with a gain of 0.02 seconds over the CHAID algorithm and 14.45 seconds over the SimpleCart(CART) algorithm.
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Miller, Brian. "Development of a Chaid Decision Tree for Assessing Risk of Detecting Metabolic Syndrome in Adults, Age 20-39 Years." University of Akron / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=akron1342752599.
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Alfonso, Moya L. "The Tip of the Blade: Self-Injury Among Early Adolescents." [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002096.
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Rice, Homer J. "Before the Storm: Evacuation Intention and Audience Segmentation." Scholar Commons, 2010. http://scholarcommons.usf.edu/etd/3604.
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The purpose of this study was to describe the predictors of evacuation intention among coastal residents in the State of Florida and to determine if there are meaningful segments of the population who intend to evacuate when told to do so by governmental officials because of a major hurricane. In the America’s and the Caribbean, 75,000 deaths have been attributed to hurricanes in the 20 th century. A well planned evacuation can reduce injury and death, yet many people do not have an evacuation plan and do not intend to evacuate when told to do so. The study used secondary data from the Harvard School of Public Health, Hurricane in High Risk Areas study, a random sample of 5,046 non-institutionalized persons age 18 and older in coastal counties of Texas, Louisiana, Mississippi, Alabama, Georgia, North Carolina, South Carolina and Florida. Surveys for the State of Florida were segregated and used in this analysis, resulting in a study sample of 1,006 surveys from 42 counties. When asked if they would evacuate in the future if told to by government officials, 59.1% of Floridians surveyed said they would leave, 35.2% said they would not leave and 5.6% said it would depend. In Florida, 65.7% of the population had been threatened or hit by a major hurricane in the last three years and 26.6% of those had left their homes because of the hurricane. Of those whose
communities were threatened by a hurricane, 83.3% of the communities were damaged and 33.8% experienced major flooding associated with the hurricane. Bivariate statistics and logistic regression were used to explore the interactions of predictors and evacuation intention. The best predictor of evacuation intention was prior evacuation from a hurricane (chi-square= 45.48, p < .01, Cramer’s V = 0.266). Significant relationships were also demonstrated between evacuation intention and worry a future hurricane would hit the community (chi-square = 22.75, p < .01, Cramer’s V = 0.11), the presence of pets (chi-square = 6.57, p < .01, Cramer’s V = 0.084), concern the home would be damaged (chi-square = 19.41, p < .01, Cramer’s V = 0.10), belief the home would withstand a major hurricane (chi-square = 19.55, p < .01, Cramer’s V = 0.10), length of time in the community (chi-square = 26.59, p < .01, Cramer’s V = 0.12), having children in the household (chi-square = 11.13, p < .01, Cramer’s V = 0.11), having a generator (chi-square = 17.12, p < .01, Cramer’s V = 0.13), age (chi-square = 24, p < .01, Cramer’s V = 0.16) and race (chi-square = 12.21, p = .02, Cramer’s V = 0.12). Logistic regression of the predictors of evacuation intention resulted in significant relationships with previous evacuation experience (OR = 4.99, p < .001), age 30 to 49 compared to age over 65 (OR = 2.776, p < .01), the presence of a generator (OR = .447, p < .01), having a home not very likely to be damaged compared to a home very likely to be damaged (OR =.444, p = .018), and experiencing poor prior government and voluntary agency response to previous hurricanes compared to excellent response (OR = .386, p < .027). Chi-squared Automatic Interaction Detection (CHAID) was used to identify segments of the
population most likely and least likely to evacuate when told to do so. Those most likely to evacuate had evacuated due to a previous hurricane. Those least likely to evacuate when told to do so had not evacuated in a previous storm, do not own a generator and are over the age of 65. Information from this study can be used in planning for evacuation response by governmental entities. Available demographic information can be used to determine numbers of persons likely to evacuate before a storm. The results of this study can be used to inform a marketing strategy by government officials to encourage evacuation among those who say they would not evacuate when told to do so. Further research is needed to determine additional characteristics of the populations who say they will and will not evacuate when told to do so.
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Sebastiao, Yuri Combo Vanda. "Racial and Ethnic Differences in Low-Risk Cesarean Deliveries in Florida." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6583.
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Background and Significance: Cesarean delivery rates increased by more than 50% between 1996 and 2011 in the United States. The large increase in rates for the procedure was generally not associated with significant improvements in obstetric outcomes, raising concern about quality and prompting recommendations for prevention. Primary cesareans provide the best opportunity to reduce overall cesarean rates, and the group of first-time mothers considered low-risk for cesarean (known as nulliparous, term, singleton, vertex, NTSV) constitutes the focus of prevention efforts. Studies increasingly report racial and ethnic differences in NTSV cesareans, which remain after controlling for health factors. However, the reasons for these disparities and whether or not they can be mitigated are issues that are not well known. The objective of this investigation was to examine factors that modify the association between race, ethnicity and NTSV cesarean deliveries in Florida. Our overall aim was to improve understanding of drivers of racial and ethnic disparities in cesareans in order to inform efforts to reduce disparities.
Methods: We conducted a population-based retrospective cohort study of 145,117 NTSV deliveries in labor, using Florida’s linked birth certificate and maternal hospital discharge records for the period of 2012 to 2014. The study was restricted to births in routine delivery hospitals to five racial and ethnic groups: non-Hispanic whites and blacks (including Haitians), Cubans, Puerto Ricans, and Mexicans. Two contrasting approaches were employed in the analysis. First, generalized linear mixed modelling was used to examine, quantify and describe effect modification of the race/ethnicity–association by cesarean risk factors. Non-Hispanic whites were the reference group for comparison. Second, classification tree modeling (chi-Squared Automatic Interaction Detection, CHAID) was used to identify cesarean risk factor combinations that define distinct subgroups with high and low rates of NTSV cesarean among the different racial and ethnic groups in the study population. Risk factors examined included individual socioeconomic, medical and health service-related factors, hospital factors, and a maternal neighborhood index of deprivation/affluence.
Results: Non-Hispanic whites were the largest racial/ethnic group in the study population (57.6%), followed by non-Hispanic blacks (23%), Cubans (8.1%), Puerto Ricans (6.8%) and finally Mexicans (4.5%). All four minority groups experienced a higher risk of cesarean relative to non-Hispanic whites after adjusting for significant risk factors, with Cubans having the highest adjusted risk ratio (RR, 1.27) followed by non-Hispanic blacks (RR, 1.18). From the regression-based tests of effect modification, we found positive interactions between race (non-Hispanic black versus white), older gestational age, and labor induction; and negative interactions between ethnicity (Cuban versus non-Hispanic white), presence of medical risk conditions, and labor induction. The adjusted RR of cesarean comparing blacks to whites was 1.04 among spontaneous deliveries at early term (P=.33), but increased to 1.28 (P
Conclusions: Our findings on risk factors that modified the association between race, ethnicity and NTSV cesarean delivery and differences in cesarean risk subgroups between racial and ethnic groups suggest that there are potential opportunities to reduce disparities in rates for the procedure in Florida. Whereas racial disparities appear to be related to disparities in health service factors related to cesarean, ethnic disparities appear to persist above and beyond the medical and health service factors included in this investigation. Further research, potentially involving qualitative methods and targeting some of the identified maternal subgroups with high rates of cesarean may help clarify maternal cultural factors, or differences in patient-provider interaction, that may contribute to some of the disparities.
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Walker, Lorna. "What factors influence whether politicians' tweets are retweeted? : using CHAID to build an explanatory model of the retweeting of politicians' tweets during the 2015 UK General Election campaign." Thesis, Cranfield University, 2016. http://dspace.lib.cranfield.ac.uk/handle/1826/11156.
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Twitter is ever-present in British political life and many politicians use it as part of their campaign strategies. However, little is known about whether their tweets engage people, for example by being retweeted. This research addresses that gap, examining tweets sent by MPs during the 2015 UK General Election campaign to identify which were retweeted and why.
A conceptual model proposes three factors which are most likely to influence retweets: the characteristics of (1) the tweet’s sender, (2) the tweet and (3) its recipients. This research focuses on the first two of these. Content and sentiment analysis are used to develop a typology of the politicians’ tweets, followed by CHAID analysis to identify the factors that best predict which tweets are retweeted.
The research shows that the characteristics of tweet and its sender do influence whether the tweet is retweeted. Of the sender’s characteristics, number of followers is the most important – more followers leads to more retweets. Of the tweet characteristics, the tweet’s sentiment is the most influential. Negative tweets are retweeted more than positive or neutral tweets. Tweets attacking opponents or using fear appeals are also highly likely to be retweeted.
The research makes a methodological contribution by demonstrating how CHAID models can be used to accurately predict retweets. This method has not been used to predict retweets before and has broad application to other contexts. The research also contributes to our understanding of how politicians and the public interact on Twitter, an area little studied to date, and proposes some practical recommendations regarding how MPs can improve the effectiveness of their Twitter campaigning. The finding that negative tweets are more likely to be retweeted also contributes to the ongoing debate regarding whether people are more likely to pass on positive or negative information online.
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Stecenková, Marina. "Srovnání vybraných klasifikačních metod pro vícerozměrná data." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-124516.
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The aim of this thesis is comparison of selected classification methods which are logistic regression (binary and multinominal), multilayer perceptron and classification trees, CHAID and CRT. The first part is reminiscent of the theoretical basis of these methods and explains the nature of parameters of the models. The next section applies the above classification methods to the six data sets and then compares the outputs of these methods. Particular emphasis is placed on the discriminatory power rating models, which a separate chapter is devoted to. Rating discriminatory power of the model is based on the overall accuracy, F-measure and size of the area under the ROC curve. The benefit of this work is not only a comparison of selected classification methods based on statistical models evaluating discriminatory power, but also an overview of the strengths and weaknesses of each method.
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Konda, Ramesh. "Predicting Machining Rate in Non-Traditional Machining using Decision Tree Inductive Learning." NSUWorks, 2010. http://nsuworks.nova.edu/gscis_etd/199.
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Wire Electrical Discharge Machining (WEDM) is a nontraditional machining process used for machining intricate shapes in high strength and temperature resistive (HSTR) materials. WEDM provides high accuracy, repeatability, and a better surface finish; however the tradeoff is a very slow machining rate. Due to the slow machining rate in WEDM, machining tasks take many hours depending on the complexity of the job. Because of this, users of WEDM try to predict machining rate beforehand so that input parameter values can be pre-programmed to achieve automated machining. However, partial success with traditional methodologies such as thermal modeling, artificial neural networks, mathematical, statistical, and empirical models left this problem still open for further research and exploration of alternative methods. Also, earlier efforts in applying the decision tree rule induction algorithms for predicting the machining rate in WEDM had limitations such as use of coarse grained method of discretizing the target and exploration of only C4.5 as the learning algorithm.
The goal of this dissertation was to address the limitations reported in literature in using decision tree rule induction algorithms for WEDM. In this study, the three decision tree inductive algorithms C5.0, CART and CHAID have been applied for predicting material removal rate when the target was discretized into varied number of classes (two, three, four, and five classes) by three discretization methods. There were a total of 36 distinct combinations when learning algorithms, discretization methods, and number of classes in the target are combined. All of these 36 models have been developed and evaluated based on the prediction accuracy. From this research, a total of 21 models found to be suitable for WEDM that have prediction accuracy ranging from 71.43% through 100%. The models indentified in the current study not only achieved better prediction accuracy compared to previous studies, but also allows the users to have much better control over WEDM than what was previously possible. Application of inductive learning and development of suitable predictive models for WEDM by incorporating varied number of classes in the target, different learning algorithms, and different discretization methods have been the major contribution of this research.
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Gonçalves, Erick Sobreiro. "Análise de padrões operacionais da frota de ônibus de transporte público no município de São Paulo e a influência de fatores climáticos em sua dinâmica." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/3/3138/tde-12032018-134651/.
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Atualmente existem muitas fontes de dados oriundos de movimentação de pessoas e veículos. Deduzir o comportamento do tráfego a partir desses dados pode ser de grande utilidade para a gestão do tráfego. Entretanto, os métodos existentes podem não abordar todas as dimensões referentes ao comportamento do tráfego, em especial sob efeito de adversidades, como por exemplo - eventos climáticos. O objetivo dessa dissertação é apresentar uma combinação de métodos estatísticos e de análise espacial, para uso na compreensão dos padrões temporais e espaciais de variabilidade das velocidades, em condições normais e sob o impacto da precipitação. O método consiste na mineração de dados de micro trechos de deslocamento (microviagens), através da combinação de estatísticas descritivas, árvores de regressão CHAID (Chi square automatic interaction detection) e análises espaciais (Krigagem). Para a validação do método foram utilizados dados obtidos, durante março de 2014, de operação da frota de ônibus municipal da cidade de São Paulo, fornecidos pela São Paulo Transportes (SPTrans). Os dados de precipitação de chuva foram fornecidos pelo Instituto Nacional de Meteorologia (INMET). Os resultados demonstraram o impacto da precipitação sobre a variabilidade das velocidades por dia da semana e hora do dia. Adicionalmente, com base nos conjuntos de dados classificados via CHAID, foram produzidas representações da distribuição das velocidades sobre a superfície através uso da Krigagem. Observou-se uma consistente queda das velocidades no período vespertino, principalmente entre 16:00 e 19:00 horas, frequentemente agravados pela presença de precipitação. Foram selecionados casos de alta variabilidade, a partir da técnica CHAID, que foram analisados espacialmente. Os efeitos da queda da variabilidade foram observados geograficamente, demonstrando que a infraestrutura de transporte é um importante fator em sua caracterização. O estudo demonstra a viabilidade desta abordagem e a importância de incorporar a geografia no entendimento da variabilidade das velocidades em geral.Nowadays there is a wide number of movement data sources which can be useful in transportation management. However, the existing methods may not cover all traffic dimensions, especially under inclement weather. The objective of this work is presenting a combination of statistical and spatial methods which allows to understand space and time speed patterns, considering regular operation conditions in comparison with rainfall events. The method consists in sequential bus tracking data segments (micro travel) mining by the combination of descriptive statistics, CHAID (Chi square automatic interaction detection) regression trees and spatial analysis (Kriging). To validate the method, São Paulo bus fleet tracking data provided by SPTrans, and rainfall precipitation, provided by INMET was combined and processed. The results presented rainfall as a relevant factor of speed variability by day of week and time of the day. A consistent speed decrease in the afternoon period, mainly between 4:00 PM and 7:00 PM, was observed. Such effects are more intense in face of rainfall precipitation. The highest variability cases obtained by CHAID classification was selected and spatially analyzed showing the transportation infrastructure is an important variability component. Such results show the importance of a geographic approach over speed variability.
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Gusmão, Fábio Alexandre Ferreira. "Índices educacionais como preditores da proficiência em ciências: um estudo multinível." Pontifícia Universidade Católica de São Paulo, 2011. https://tede2.pucsp.br/handle/handle/16018.
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Previous issue date: 2011-10-10Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Brazil has reached the 21st century providing universal access to elementary education to almost the entire population of the 7 to 14 age group. The 21st century was unquestionably a period of major economic advances, increase in the population s political participation, and consolidating democracy. However, many educational indicators are still dismal, such as the illiteracy rate for the population over 25 years, the student turnover rate, and access rates of students who finish elementary and middle school. The goals of this study are: 1) to establish the relationship between the characteristics of students and schools and the performance results of 8th grade students in Science, and 2) to show how social inequalities are mirrored in the educational system as found by Bourdieu and Passeron (2009). This study used data from the 1999 SAEB (the Brazilian Elementary Education Assessment System) on students, teachers, principal, and school facilities. The data were used to understand the relation and/or correlation between independent variables, indicators of economic and social inequality (GDP, HDI, Gini coefficient) with the dependent variable. This analysis enabled us to capture the impact of different independent variables on student performance in the SAEB database. Parametric and nonparametric tests were subsequently applied to verify whether the differences found were significant. CHAID method was employed to find the Best predictors of performance in Science. In regard to the level of the students, the results show that all the differences found among independent variables and the average proficiency rate in Science were statistically significant. The CHAID analysis highlighted that the following independent variables school system, income, cultural level, flunking rate, and doing homework are statistically related to the average Science proficiency rate. Concerning the level of the schools, results show that school organization and management, school resources, teacher education and pay, and school environment are statistically related to the average Science proficiency rate. In terms of the level of the states, results show that the correlation among social and economic inequality indicators with performance in Science is influenced by the economic, social, and educational situation of Brazilian states and region. CHAID method proved to be effective in possible crossings of data, thus rejecting non-significant variation in data crossing, and focusing its subdivisions on variations resulting from data crossings potentially significant to this study and on identifying predictors of Science learning based on 1999 SAEB data
O Brasil chega ao século XXI praticamente com a universalização do acesso ao ensino fundamental da população da faixa etária dos 7 aos 14 anos. Sem dúvida, um século que se inicia com grandes avanços na área econômica, na participação política da população e na consolidação da democracia; mas que ainda apresenta indicadores educacionais sofríveis, como o índice de analfabetismo da população com mais de 25 anos, a movimentação escolar e as taxas de acesso dos concluintes do ensino fundamental e médio. Os objetivos da presente pesquisa foram: 1º) estabelecer relações entre as características dos alunos e das escolas aos resultados do desempenho de Ciências dos alunos da 8ª série do ensino fundamental, e 2º) mostrar como as desigualdades sociais são reproduzidas no sistema educacional como afirmado por Bourdieu e Passeron (2009). Neste estudo foi utilizado os dados do SAEB de 1999 referentes aos dados coletados de alunos, professores, diretores e instalações físicas das escolas. Os dados foram utilizados para se compreender qual relação e/ou correlação entre as variáveis independentes, os indicadores de desigualdade econômica e social (PIB, IDH, índice de Gini) com a variável dependente. Este procedimento de análise permitiu captar o impacto de diferentes variáveis independentes sobre o desempenho dos alunos a partir da base de dados do SAEB. Foram aplicados testes estatísticos paramétricos e não paramétricos para verificar se as diferenças encontradas foram significativas. Foi utilizado o método CHAID para encontrar os melhores preditores para o desempenho em Ciências. Em relação ao nível dos alunos os resultados mostram que todas as diferenças encontradas entre as variáveis independentes e a proficiência média em Ciências foram estatisticamente significativas. A análise pelo método CHAID destaca que as variáveis independentes rede de ensino, capital econômico e cultural, repetência e fazer dever de casa se relacionam estatisticamente com a proficiência média em Ciências. Em relação ao nível das escolas os resultados indicam que as categorias organização e gestão da escola, recursos escolares, formação e salário docente e clima acadêmico se relacionam estatisticamente com a proficiência média em Ciências. Em relação ao nível dos estados os resultados demonstram que a correlação entre os indicadores de desigualdade econômica e social com o desempenho em Ciências sofre a influência da condição econômica, social e educacional dos estados e regiões brasileiras. O CHAID demonstrou ser eficiente nos cruzamentos possíveis dos dados rejeitando cruzamentos não significativos, e concentrando suas subdivisões em cruzamentos potencialmente significativos para a pesquisa e para identificação de preditores para a aprendizagem em Ciências a partir dos dados do SAEB de 1999
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Di, Tullio Ian. "Improving the direct marketing practices of FMCG retailers through better customer selection : an empirical study comparing the effectiveness of RFM (Recency, Freuency and Monetary) CHAID (Chi-squared Automatic Interaction Detection), stepwise logit (logistic regression) and ANN (Artificial Neural Networks) techniques using different data variable depths." Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/8837.
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The intent of this thesis is to understand Data Mining technique effectiveness in both shallow (RFM variable only) and expanded data environments. The thesis addresses two specific gaps in research: (1) the relationship between customer selection techniques and performance and (2) the effects of using different depths of data on performance. In shallow-data contexts stepwise logit and neural networks provided the greatest cumulative lift and outperformed both RFM and CHAID across all top deciles. However, RFM shows the second highest fit measure, illustrating its relative stability in predicting outcomes. In addition, the RFM technique performance was tested using both one-month and 12-month time series. The 12-month series performed better and showed a greater level of fit. The subsequent study comparing technique effectiveness under expanded variable sets demonstrated an even more significant and visible lift increase versus the RFM technique. Looking at logistic regression, CHAID and neural networks, the lifts and gains obtained at the first two deciles provide enough response lift to allow these techniques’ cumulative performance to surpass RFM well past decile five into decile six. From a cumulative perspective, the strong performance of logit and ANN allow these techniques to outperform CHAID in deciles one and two, but as of decile three, cumulative performance of all three advanced techniques becomes virtually identical. Though CHAID remains the technique with the best fit performance, RFM fit value falls to last place once an expanded variable set is introduced. Furthermore, both logistic and ANN performance increases significantly, and though they remain very close from an overall Gini and PCC score perspective, the logistic regression outperforms ANN when using expanded data. In both studies, dimensionality reduction plays a role in optimising model response. In limited data sets, logit applications reduced data to achieve better response, whereas in extended data sets, all models applied reductions. These findings contribute to the growing literature on customer selection techniques and provide a specific contribution to data mining, RM, segmentation and marketing practice by demonstrating how these techniques can be used for better consumer selection for purposes of customer development in FMCG retail.
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Chai, Yingtao. "Study of particle movement in the nearshore region of Lake Superior with radioisotope tracers /." Available online. Click here, 2005. http://sunshine.lib.mtu.edu/ETD/DISS/chaiy/ChaiDiss.pdf.
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Chai, Jianfang. "Synthesis, structure and reactivity of manganese complexes supported by carbon or nitrogen donor ligands." Doctoral thesis, [S.l. : s.n.], 2004. http://webdoc.sub.gwdg.de/diss/2004/chai/chai.pdf.
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Chuah, Chai Wen. "Key derivation function based on stream ciphers." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/71025/1/Chai%20Wen_Chuah_Thesis.pdf.
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A key derivation function (KDF) is a function that transforms secret non-uniformly random source material together with some public strings into one or more cryptographic keys. These cryptographic keys are used with a cryptographic algorithm for protecting electronic data during both transmission over insecure channels and storage. In this thesis, we propose a new method for constructing a generic stream cipher based key derivation function. We show that our proposed key derivation function based on stream ciphers is secure if the under-lying stream cipher is secure. We simulate instances of this stream cipher based key derivation function using three eStream nalist: Trivium, Sosemanuk and Rabbit. The simulation results show these stream cipher based key derivation functions offer efficiency advantages over the more commonly used key derivation functions based on block ciphers and hash functions.
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Chain, Cyril Fontoynont Marc Dumortier Dominique. "Caractérisation spectrale et directionnelle de la lumière naturelle application à l'éclairage des bâtiments /." Villeurbanne : Doc'INSA, 2005. http://docinsa.insa-lyon.fr/these/pont.php?id=chain.
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Matheus, Natália de Mesquita. "A sensibilidade do Ideb a variáveis educacionais avaliada por um modelo matemático." Pontifícia Universidade Católica de São Paulo, 2015. https://tede2.pucsp.br/handle/handle/16174.
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Natalia de Mesquita Matheus.pdf: 3517136 bytes, checksum: 5518b3ee2f114334fb6f19567338c20c (MD5)
Previous issue date: 2015-03-19Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
The present study aimed at evaluating the functionality of CHAID to analyze educational data by demonstrating Ideb s sensitivity to different aspects of educational system. The dependent variables were Ideb 2011 from initial and final series of the elementary years; the independent variables were considered separately in a multilevel analysis. At the first level, considered independent variable were the cities former performance measured by the Ideb at 2005, 2007 and 2009; at the second level, the cities budget with education, such as student cost and the percentage of investments at basic education, and others came into focus; and, at the third level, the independent variables considered were demographic data such as region, State, index of human development and influence region. The results shown at the first level indicate a direct relationship between higher scores at the dependent variable and at former performance. Most of the cities with higher scores in 2009 showed higher scores at the Ideb in 2011 and those cities with lower scores in former performances (in 2009, 2007 and, some cases even in 2005) showed lower scores in 2011. At the second level, the results indicate that the effects produced by most recent expenditure (from 2011) are less relevant than those expended earlier (in 2009). Those data suggest that the effects from financial investments in education are / will probably be seen at medium or long term. At the third level, the State was a more significant variable than region and the other tested variables. Statistical algorithms CHAID and exhaustive-CHAID showed to be effective to identify significant variables related to academic performance measured by Ideb, with the production of comprehensive information without losing the specifies of each reality. However, exhaustive-CHAID, turned out to be a more rigorous than CHAID in the selection of variables. It was demonstrated that the multilevel analysis produced different results whern compared with the comprehensive analysis. It suggests an important effects from the interaction among all tested variables. The availability of educational data for identification and analysis of relationships between political actions and its educational outcomes is discussed. Finally,, the contributions of behavior analysis to the interpretation and analysis of people involved at educational policy behavior are considered
O presente trabalho teve como objetivo avaliar a funcionalidade do modelo CHAID para a análise de dados educacionais por meio da demonstração da sensibilidade do Ideb a diferentes aspectos do sistema educacional. As variáveis dependentes do presente estudo foram o Ideb 2011 municipal dos anos iniciais e finais do ensino fundamental e as variáveis independentes foram consideradas separadamente em uma análise multinível. No primeiro nível, considerou-se o desempenho anterior do município no Ideb em 2005, 2007 e 2009; no segundo nível, a execução orçamentária do município, tais como gasto-aluno e porcentagem de investimentos na educação básica, dentre outros; e, no terceiro nível, dados demográficos, como região do país, UF, índice de desenvolvimento humano do município e região de influência. Os resultados no primeiro nível apontam uma relação direta entre índices elevados na VD e em desempenhos anteriores: a maior parte dos municípios com desempenho superior em 2009 apresentaram índices elevados no Ideb em 2011 e aqueles com desempenho inferior em avaliações anteriores (em 2009, 2007 e, em alguns casos, em 2005) apresentaram índices baixos em 2011. No segundo nível, os resultados indicaram que os efeitos gerados por gastos mais recentes (de 2011) são menos relevantes do que aqueles realizados anteriormente (em 2009). Esses dados sugerem que o efeito de investimentos financeiros na educação é/será mais provavelmente observado a médio ou longo prazo. No terceiro nível, a Unidade da Federação se mostrou mais relevante do que a região do país e as demais variáveis testadas. O modelo CHAID, nas duas formas testadas (CHAID e exhaustive-CHAID), se mostrou efetivo para a identificação das variáveis significativamente relacionadas ao desempenho acadêmico, aferido pelo Ideb, produzindo informações abrangentes, mas sem que se percam as especificidades de cada realidade, tendo sido o modelo exhaustive-CHAID mais rigoroso na seleção de variáveis. Demonstrou-se que a análise multinível produz resultados diferentes da análise geral das variáveis, sugerindo importantes efeitos da interação entre elas. Discute-se a disponibilidade de dados educacionais para a identificação e análise de relações entre ações políticas e seus efeitos educacionais. Por fim, nas considerações finais, apresentam-se algumas das contribuições da Análise do Comportamento à análise e interpretação dos comportamentos das pessoas envolvidas na Política Educacional
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Rusinga, Nectar. "Value chain analysis along the petroleum supply chain." Master's thesis, University of Cape Town, 2010. http://hdl.handle.net/11427/10839.
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Includes abstract.Includes bibliographical references (leaves 86-91).
The wide range of the petroleum industry's products as well as the varied value of these products coupled with the global nature of the petroleum industry presents both challenges and opportunities within the petroleum supply chain. It is along this supply chain that challenges for creating value for the customer exist as well the opportunities for reaching this goal. Value chain analysis methodology has been hailed as being capable to lend itself to process improvement challenges faced along supply chains. To achieve this objective, a case study method was used to collect and analyse data. This dissertation identifies and follows one of the supply chains of a petroleum company operating in South Africa to investigate how value chain analysis can be implemented along its supply chain.
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Fleishman, Shelley Helms. "Daisy Chain." Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/english_theses/36.
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This collection of work explores conflict and connection. The poems are shorter, but they are no less conflicted about human nature and our own desires to be good, while struggling with less-good desires. My construction of progressive imagery has changed from Confessional to a sensory connectivity of situation and feel. Breaking the collection into parts allows for grouping according to speaker relationship and voice.
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Talbert, Robert. "Catch Chain." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/46206.
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Catch Chain is a book of poems that traces the journey of a Corrections Officer who attempts to combat issues of isolation, inhumane treatment of inmates and societal rejection in jails by embarking upon a cross-country road trip. However, the same issues the officer initially wrestled with begin cropping up in different cities, on various highways and in a multitude of states. The excitement and adventure of the open road runs parallel to the recurring imprisonment of the guard's mind.Master of Fine Arts
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Silva, Carolina Machado Cyrillo da. "Chaim Perelman." Florianópolis, SC, 2005. http://repositorio.ufsc.br/handle/123456789/101807.
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Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Ciências Jurídicas. Programa de Pós-Graduação em Direito.Made available in DSpace on 2013-07-15T23:15:36Z (GMT). No. of bitstreams: 1 222248.pdf: 1107948 bytes, checksum: 9ae5c7e75e4b27182420069befc69fb2 (MD5)
Este trabalho tem por objetivo estabelecer a relação entre argumentação e justiça no pensamento de Chaïm Perelman. Com este fim, são apresentadas as fontes as quais se utilizou o autor para construção de sua teoria. Notadamente, como o fez Chaïm Perelman, retomar-se-á o pensamento de Aristóteles e a tradição que nele sustenta o modo de argumentar nas diferentes matérias do conhecimento humano, bem como, o vínculo entre direito e justiça. Os raciocínios jurídicos são, nesta perspectiva, raciocínios dialéticos, e não analíticos. A lógica jurídica utiliza provas dialéticas com o intuito de obter decisões judiciais que respondam ao ideal social de justiça e eqüidade. Neste aspecto, Chaïm Perelman critica a apreciação moderna de direito baseada em um dogma da cientificidade como objetividade e precisão, bem como, a forma matemática de tratar o direito. Sua análise parte da formação do Estado Moderno e o movimento das grandes codificações e culmina na apreciação da ciência do direito no modelo proposto pela Teoria Pura do Direito de Hans Kelsen. Ce travail a pour but d´établir la relation entre l´argumentation et la justice dans la pensée de Chaïm Pereleman. A cette fin, on présente les principales sources employées par cet auteur dans la construction de sa théorie. On reviendra notamment, comme Perelman a lui-même fait, sur la pensée d´Aristote et sur une certaine tradiction qui trouve chez Aristote les différents modes d´argumentation chez les différentes disciplines scientifiques ainsi que le lien étroit entre le Droit et la justice. Les raisonnements juridiques sont compris, dans cette perspective, comme appartenant plutôt à l´ordre dialectique qu´à lórdre analytique. La logique juridique emploie des preuves dialetiques dans le but d´obtenir des décisions judicielles capables de répondre à l´idéal de justice et équité. Dans ce sens, Chaïm Perelman critique la compréhension moderne du Droit basée sur les dogmes de scientificité, comme l´objectivité et l´exactitude ainsi que sur la manière trop mathématique d´envisager le Droit. L´analyse faite par Perelman prend son point de départ dans la formation de l´État Moderne et dans le mouvement de codification pour se terminer dans la considération de la science du droit selon le modèle proposé par la Théorie Pure du Droit de Hans Kelsen.
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Yang, Jingxia M. Eng Massachusetts Institute of Technology. "Improving supply chain resilience by multi-stage supply chain." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/55239.
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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 79).
Due to the global expansion of Company A's supply chain network, it is becoming more vulnerable to many disruptions. These disruptions often incur additional costs; and require time to respond to and recover from these disruptions. The base paper supply chain was identified as the most vulnerable area of the Company A Jurong and South & Southeast Asia Cluster supply chain; and a multi-stage supply chain was proposed to improve the supply chain's resilience. A statistical model was constructed to select the optimal location of the central warehouse for the proposed multi-stage supply chain. After evaluating the resilience to disruptions and the cost effectiveness of supply chains, the multi-stage supply chain with central warehouse in Tanjung Pelepas, Malaysia was found to be overall most resilient and cost effective among all the supply chains. It also incurs a lower additional cost in the event of a disruption such as changes in exchange rates and demand forecast accuracy, fuel price fluctuation, labor cost increase and shipping disruptions. As a result, establishing this multistage supply chain is recommended.
by Jingxia Yang.
M.Eng.
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Xu, Jie M. Eng Massachusetts Institute of Technology. "Improve supply chain resilience by multi-stage supply chain." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/55237.
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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 76).
Due to the global expansion of Company A's supply chain network, it is becoming more vulnerable to many disruptions. These disruptions often incur additional costs; and require time to respond to and recover from these disruptions. The base paper supply chain was identified as the most vulnerable area of the Company A Jurong and South & Southeast Asia Cluster supply chain; and a multi-stage supply chain was proposed to improve the supply chain's resilience. A statistical model was constructed to select the optimal location of the central warehouse for the proposed multi-stage supply chain. After evaluating the resilience to disruptions and the cost effectiveness of supply chains, the multi-stage supply chain with central warehouse in Tanjung Pelepas, Malaysia was found to be overall most resilient and cost effective among all the supply chains. It also incurs a lower additional cost in the event of a disruption such as changes in exchange rates and demand forecast accuracy, fuel price fluctuation, labor cost increase and shipping disruptions. As a result, establishing this multistage supply chain is recommended.
by Jie Xu.
M.Eng.
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Gorce, Jean-Philippe. "Crystallisation and chain conformation of long chain n-alkanes." Thesis, Sheffield Hallam University, 2000. http://shura.shu.ac.uk/19705/.
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Hydrocarbon chains are a basic component in a number of systems as diverse as biological membranes, phospholipids and polymers. A better understanding of the physical properties of n-alkane chains should provide a better understanding of these more complex systems. With this aim, vibrational spectroscopy has been extensively used. This technique, sensitive to molecular details, is the only one able to both identify and quantify conformational disorder present in paraffinic systems. To achieve this, methyl deformations have been widely used as "internal standards" for the normalisation of peak areas. However, in the case of n-alkanes with short chain length, such as n-C[44]H[90] for example, the infrared spectra recorded at liquid nitrogen temperature and reported here show the sensitivity of these latter peaks to the various crystal structures formed. Indeed, the main frequencies of the symmetric methyl bending mode were found between 1384 cm[-1] and 1368 cm[-1] as a function of the crystal form. Changes in the frequency of the first order of the L.A.M. present in the Raman spectra were also observed. At higher temperatures, non all-trans conformers, inferred from different infrared bands present in the wagging mode region, were found to be essentially placed at the end of the n-alkane chains. At the monoclinic phase transition, the concentration of end-gauche conformers, proportional to the area of the infrared band at 1342 cm[-1], increases abruptly. On the contrary, in the spectra recorded at liquid nitrogen temperature no such band is observed. We also studied the degree of disorder in two purely monodisperse long chain n-alkanes, namely n-C[198]H[398] and n-C[246]H[494]. The chain conformation as well as the tilt angle of the chains from the crystal surfaces were determined by means of low frequency Raman spectroscopy and S.A.X.S. measurements on solution-crystallised samples. The increase in the number of end-gauche conformers which was expected to occur with the increase of the tilt angle as a function of the temperature was not detected due to a perfecting of the crystals. Indeed, due to successive heating and cooling to -173°C, the concentration of non all-trans conformers was found to decrease within the crystals. Their numbers were found to be up to six times higher in n-C[198]H[398] crystallised in once folded form than when crystallised in extended form. The C-C stretching mode region of the spectra was used to identify the chain conformation and to estimate the length of the all-trans stem passing through the crystal layers at -173°C. The transition between once folded and extended form crystals was indicated by the presence of additional bands in this region at 1089 cm[-1], 1078 cm[-1] and 1064 cm[-1]. Some of those bands may be related to the fold itself. At the same time, a strong decrease of the intensity of the infrared bands present in the wagging mode region was observed. Finally, the triple layered structure proposed on the basis of X-ray measurements obtained from the crystals of a binary mixture of long chain n-alkanes, namely n-C[162]H[326] and n-C[246]H[494], was confirmed from the study of the C-C stretching mode region of the infrared spectra.
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Axelsson, Jonas, and Ahmed Ghassabei. "Supply Chain Configuration : Ens studie av förbättringsarbetet "Supply Chain Configuration." Thesis, KTH, Tillämpad maskinteknik (KTH Södertälje), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-93955.
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Villeneuve, Tania S. "Microtubule-associated protein 1A: Heavy chain and light chain interactions." Thesis, University of Ottawa (Canada), 2003. http://hdl.handle.net/10393/26409.
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Microtubule (Mt)-associated proteins (MAPs) have been shown to play a role in Mt stability in axons and dendrites, in determining neuronal shape and in regulating the balance between rigidity and plasticity in neuronal processes. MAP1A is the most abundant MAP in adult brains, and in neurons is localized in axons and dendrites. MAP1A is represented by a protein complex of one heavy chain (HC) and three light chains (LC1, LC2, LC3). Understanding MAP1A-Mt-LC interactions may give insight into the neuronal cytoskeleton, which is often involved in neuronal diseases.
To determine which area of the MAP1A HC is essential in Mt binding, parts of the MAP1A HC were expressed in HeLa cells. Through fluorescence microscopy, we determined that MAP1A colocalized with Mts, but did not alter the Mt network. Also, an in vitro binding assay, where MAP1A HC fragments were added to taxol stabilized Mts, determined that the N-terminus of MAP1A is involved in Mt binding. To determine the effect of the LCs on Mts, they were also expressed in HeLa cells. By the same in vivo and in vitro experiments, all three LCs were shown to bind Mts. LC1 and LC2 also conferred to Mts a wavy distribution, especially in the perinuclear region and increased Mt stability as shown by increased resistance to nocodazole. However, Mts in cells transfected with LC3 were not altered and showed no increased Mt stability. Whenever both MAP1A HC and LC2 were expressed in HeLa cells, the altering effect of LC2 was reduced, suggesting that the MAP1A HC might regulate LC2 activities.
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Arrighi, Valeria. "Chain conformation of a main-chain thermotropic liquid crystalline polymer." Thesis, Imperial College London, 1991. http://hdl.handle.net/10044/1/46651.
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De, Jong Jurriaan L. "Supply Chain Relationships and Refurbishing in the Healthcare Supply Chain." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366197687.
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Roy, Chowdhury Sumana. "Anionic Synthesis of In-chain and Chain-end Functionalized Polymers." University of Akron / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=akron1156257315.
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Wichman, Elizabeth P. "Anionic Synthesis of Chain-End and In-Chain Functional Polymers." University of Akron / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1226961648.
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Lust, Kathleen R. "The effects of a six week open kinetic chain/closed kinetic chain and open kinetic chain/closed kinetic chain/core stability strengthening program in baseball." Morgantown, W. Va. : [West Virginia University Libraries], 2007. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=5173.
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Bohle, Alexander, and Liam Johnson. "Supply Chain Analytics implications for designing Supply Chain Networks : Linking Descriptive Analytics to operational Supply Chain Analytics applications to derive strategic Supply Chain Network Decisions." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Centre of Logistics and Supply Chain Management (CeLS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-44120.
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Today’s dynamic and increasingly competitive market had expanded complexities for global businesses pressuring companies to start leveraging on Big Data solutions in order to sustain the global competitions by becoming more data-driven in managing their supply chains.The main purpose of this study is twofold, 1) to explore the implications of applying analytics designing supply chain networks, 2) to investigate the link between operational and strategic management levels when making strategic decisions using Analytics.Qualitative methods have been applied for this study to gain a greater understanding of the Supply Chain Analytics phenomenon. An inductive approach in form of interviews, was performed in order to gain new empirical data. Fifteen semi-structured interviews were conducted with professional individuals who hold managerial roles such as project managers, consultants, and end-users within the fields of Supply Chain Management and Big Data Analytics. The received empirical information was later analyzed using the thematic analysis method.The main findings in this thesis relatively contradicts with previous studies and existing literature in terms of connotations, definitions and applications of the three main types of Analytics. Furthermore, the findings present new approaches and perspectives that advanced analytics apply on both strategic and operational management levels that are shaping supply chain network designs.
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Herrmann, Jan. "Supply chain scheduling." Wiesbaden Gabler, 2009. http://d-nb.info/999948970/04.
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Pascual, Osés Maite. "Auxiliary office chair." Thesis, Mälardalen University, Department of Innovation, Design and Product Development, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-380.
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The aim of this project is to develop an auxiliary office chair, which favorably will compete with
the existing chairs on the market. Evolutions of ergonomical survey in the work environment and
on the configuration of offices require new products which fulfill the requirements properly.
In order to achieve it a survey about office chairs has been carried out: types, characteristics, ways
of usage and products on the market besides a large antropometrical study and ergonomics related
to work area study.
The result is an auxillary office chair which improves significatively in ergonomics compared with
such chairs found in the market survey.
Moreover it is achieved a great improvement refering to apilability stackable characteristics and
manufacturing, as this chair has good features as easily cleanning and innovative aesthetics and no
high manufacturing cost. That means an easily marketed product.
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Bao, Yong Economics Australian School of Business UNSW. "Supply chain competition." Publisher:University of New South Wales. Economics, 2009. http://handle.unsw.edu.au/1959.4/43537.
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This thesis studies the influence of horizontal competition on supply chain performance. Unlike most of the existing literature which focuses on horizontal competition between echelon levels, we look at both the supply chain and the individual company??s performance with the presence of supply chain to supply chain competition. Specifically, this thesis is composed of three individual research papers. The first paper deals with chain-to-chain horizontal competition and considers price competition among an arbitrary number of supply chains by comparing two cases. In the first case each supply chain is vertically integrated, while in the second, decentralised, case the manufacturers and retailers act independently. We explore the effect of varying the level of price competition on the profitts of the industry participants and demonstrate the important role played by the spread of underlying market shares. The coefficient of variation of these market shares determines whether decentralised supply chains can outperform integrated supply chains with an appropriate level of competition. The second and third papers focus on in-chain horizontal competition with capacity constraints. In the second paper, we look at a supply chain with one manufacturer and two downstream retailers. Based on total capacity available, the manufacturer needs to find ways to best use the capacity by determining whether or not to release the capacity information to retailers. The third paper looks at competition in a more complicated supply chain structure. A retailer buys three brands of products from two manufacturers. One manufacturer produces both branded and private label products, and the other one manufactures a branded product only. With our model, we are able to determine the profits of each supply chain agent. At the end of the paper, we use data from the Australian milk industry and discuss a problem in which a manufacturer needs to decide how to allocate capacity between the national brand and the private label when there is a capacity shortage.
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Kidd, Matthew Donald. "Bicycle chain efficiency." Thesis, Heriot-Watt University, 2000. http://hdl.handle.net/10399/1245.
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Moghadam, Saman Saeed. "Value Chain Reconfiguration." Thesis, Högskolan i Borås, Institutionen Ingenjörshögskolan, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-19042.
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Integration of operation management goals with the mission of organization requiresadoption of measures capable of pulsing mission accomplishment situation whileoperations are going on. Supply chain, as an increasingly used concept in operationsmanagement, could be supported by the concepts of customer satisfaction and profitmargin to get integrated with main goals of any for-profit organization. Value chain viewprovides such insight and lets the mission of the organization remain in focus while lowerleveldecisions and functional processes are dealt with.Every activity in a value chain could be cost driver and / or value driver. Configuration ofthese cost and value drivers refers to their locational and relational position. Afteragreement on what are going to be core values for the organization, relative positions ofvalue chain activities should be consciously reviewed periodically to identify opportunitiesfor contributing to core values of organization through repositioning or redesigning andstrengthening value activities. The term value chain reconfiguration implies to suchstrategic revision decisions.Opportunities – and threats – for improving performance of the organization not only liewithin internal chain of value activities of the organization, but also could be found out ofthe organization boundaries and among its extended value chain. Acquiring of externalgains needs sound analysis and cost and benefit evaluations for making decision regardingthe way of reacting to the identified opportunities. Virtual value chain orchestration asproposed by its introducer provides a framework for identifying and capturing suchopportunities.Gauging the results of reconfiguration of the value chain, calls for implementingmeaningful criterion so that it reflects captured value in accordance with the destined goal.Taking profit margin of the value chain as master value for organization, the thesis workproposes usage of a less-known profitability indicator, economic value added (EVA) as themeasure which should be focused on in order to evaluate success or failure of firm-levelvalue chain reconfiguration efforts.Uppsatsnivå: D
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Barbosa, Ricardo Wagner Lopes 1976, and Edward 1973 Fan. "Supply chain dynamics." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/29533.
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Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2003.Includes bibliographical references (p. 121-123).
The strong bargaining power of major retailers and the higher requirements for speed, service excellence and customization have significantly contributed to transform the Supply Chain Management. These increasing challenges call for an integrated and dynamic Supply Chain Management and for a better integration and alignment with key customers, in order to reduce the firm's time-to-market and build competitive advantage. The thesis aims at providing the partner company, a major player in the consumer goods industry, with a more robust and efficient vendor managed inventory practice, so that the partner can determine the optimum inventory level to satisfy turnover, service level and lead time requirements, whereas minimizing lost sales and total costs in the system. The team developed a Supply Chain Dynamics framework to help the partner to establish new service level strategies, strongly oriented to the strategic importance of its products and customers, and to map the key system-wide drivers that impact the overall number of inventory turns, service level and total costs. Additionally, in order to run simulations and estimate the outcomes of the proposed recommendations, the team developed a "Multi-Echelon" simulator and used a commercial "Supply Chain Dynamics" simulator.
by Ricardo Wagner Lopes Barbosa [and] Edward Fan.
M.Eng.in Logistics
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Grossi, Roberta. "The French Chair." ScholarWorks@UNO, 2011. http://scholarworks.uno.edu/td/1406.
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This play is a comedy which revolves around the importance of a French Chair (Louis Xiii) in the life of a family. A young newlywed woman discovers that her husband has a "secret" half sister born out of wedlock. Her mother-in-law has had an affair with a French man, but her husband always believed she had been abused. The young lady senses something is not clear and decides to look for her "half" sister-in-law. She does and manages to organize a get-together to bring everyone in the same place and finally understand what really happened. Eventually, her mother-in-law, now a widower, falls in love again with her ex-lover and they decide to marry. The French Chair was a reason of fights in the young couple and with the mother-in-law. But at the end we learn that young lady's half sister-in-law was conceived on this chair.
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Zubar. "SUPPLY CHAIN DIGITIZATION." Thesis, Київ 2018, 2018. http://er.nau.edu.ua/handle/NAU/33934.
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Zagurska. "BLOCK CHAIN TECHNOLOGY." Thesis, Київ 2018, 2018. http://er.nau.edu.ua/handle/NAU/33931.
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Nordeman, Erinn Mary, and Erinn Mary Nordeman. "The Endless Chain." Thesis, The University of Arizona, 2017. http://hdl.handle.net/10150/625683.
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Quilts can be blankets that keep you warm at night. They can be several pieces of fabric that are purposefully sewn together to make a beautiful, meaningful pattern. Quilts can be gifts. They can be pieces of artwork that someone has poured their heart into. Over time, quilts can become more meaningful to their owners. They can become a memory of their maker. I hope that the quilts I have made in the last year live on and become more meaningful in time. They are an expression of a young woman in 2017 and her quarrels with tradition.
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Thomas, Sydney. "Measurement and modelling of long chain branching in chain growth polymerization." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0001/NQ42769.pdf.
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Gulati, Nitin, and Amar Sharma. "Identifying supply chain strategies of firms with best supply chain performance." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59243.
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Thesis (S.M. in System Design and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2010.Cataloged from PDF version of thesis.
Includes bibliographical references.
The Global Business Climate has been rapidly changing and has become more competitive. Enterprise now not only needs to operate at a lower cost to compete, it must also develop its own core competencies to distinguish itself from competitors and stand out in the market. The focus has now moved towards improving operational efficiency to stay competitive. Supply Chain is one of the important areas which almost every company is currently working to improve their operation efficiency. Improving operational efficiency in supply chain has three aspects including improving supply chain strategies, following better supply chain management practices, and aligning supply chain strategy with overall business strategy. Our thesis research objective is to understand what policies, capabilities, and strategies of an enterprises leads to best supply chain management. The research is cross industry, across all supply chain management domain and will shed light on what makes companies "best performer" by identifying and exploring the distinctive capabilities required in five key supply chain domains that contribute to high performance in the relevant operational metrics. The domains studied in our research are supply chain planning, fulfillment, service management, product lifecycle management, and, manufacturing. Another objective of our thesis is to relate domain performance of the firm with the firm's value proposition. The three value propositions considered in the thesis are product leadership/innovation, cost competitiveness, and customer service.
by Nitin Gulati & Amar Sharma.
S.M.in System Design and Management
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Zhang, Zimo. "Effect Of Chain End Functional And Chain Architecture On Surface Segregation." University of Akron / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=akron1498513871263316.
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Mattsson, Sandra, and Ala Pazirandeh. "Supply Chain Development within Volvo Penta Chain : Development through Supplier Relationship Improvement." Thesis, Högskolan i Borås, Institutionen Ingenjörshögskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-19388.
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In today global business market, concepts are moving towards inter-national and inter-firm in contrary to older days. This has made companies explore ways to leverage their supply chains, and to evaluate the role of suppliers in their activities. One result has been the increased outsourcing of activities and performance. This has heightened the role of suppliers ever more.Consequently, in order to maintain competitive in the market and to be able to satisfy the knowledgeable end customer, suppliers must be completely aligned with the core company and its objectives and performances. This goal is only gained through strategic benchmarking towards Supplier Development.With a large number of suppliers to deal with, it won’t be feasible to have partnership relationship with each. The strategic approach is to classify them in a manner suitable for the company and only then start from top of the list setting goals for the most prioritized.Before making any attempt in Supplier Relationship Development, the company must start from within setting the right mindset from top down, inside its own ground. Only then Supplier development will be aligned with the objectives of the company and the program will be integrated and successful.This research sought after ways to develop a strategic and systematic method of dealing with suppliers. This guideline was classified as a step by step map of a Supplier Development program. The study was conducted for Volvo Penta Vara Company, and as part of its Supply Chain Development Program. The findings from the company and literature were compared and analyzed and finally guidelines were developed.This report is the last part of the master’s studies in Industrial Engineering-Logistics at University of Borås. It gave us the opportunity to use what we had learnt during the programme. Considering the broadness of the subject we were after, this report meant a lot of work. However, this was the challenge we wanted and an intriguing journey where we learned a lot along the way.