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Resenha de Artigo - ESTUDO DA OPERACIONALIDADE DO CANAL DE CRÉDITO NO BRASIL USANDO VAR ESTRUTURAL COINTEGRADO.
Resenha de Artigo - ESTUDO DA OPERACIONALIDADE DO CANAL DE CRÉDITO NO BRASIL USANDO VAR ESTRUTURAL COINTEGRADO.
This paper addresses the issue of bank lending channel in Brazil using monthly aggregate data in the range 1995/2010, in a structural cointegrated VAR. Following techniques previously used by Huelsewig et al (2005) and Walsh and Wilcox (1995) and applying a VECM model, it is estimated the response of bank loans to a monetary policy shock and to identify demand and supply of loans. The results show evidence of the operation of the credit channel in Brazil, and through the historical decomposition of the variance observes the role of credit in the performance of industrial product during recent phases of expansion and contraction of the Brazilian economy. Keywords: Bank Lending Channel, VECM, Monetary Policy.
Jani Rogerio Branco
The Arzela-Ascoli Theorem
The Arzela-Ascoli Theorem
We will form a proof of the Arzela-Ascoli Theorem through use of the Heine-Borel theorem. We will also be considering some notions of compactness on metric spaces. The Arzela-Ascoli Theorem then allows us to show compactness, letting us state and prove Peano's existence theorem, pertaining to the existence of the solutions of a type of ODE. Then we will state the Kolmogorov-Riesz compactness theorem, allowing us to show compactness in $L^p$ spaces, building from the Arzela-Ascoli Theorem.
Oliver Williamson
Rorschach: Uma Ferramenta para Detecção de Plágio
Rorschach: Uma Ferramenta para Detecção de Plágio
Considering the growing impact of ideas nowadays, via quaternary sector, the plagiarism detection has become constant in texts, songs, as well as source codes. This work proposes the creation of the tool \nameOfProgram \ for plagiarism detection in simple texts with GNU GPL license. \nameOfProgram \ was designed to allow your extension for plagiarism detection in source codes. The tool was tested and results are presented in this paper.
Yuri Karan Benevides Tomas
Cyclic plasticity's models for thermo-mechanical applications.
Cyclic plasticity's models for thermo-mechanical applications.
This master thesis aims to investigate and to assess the fatigue life of a component that undergoes cyclic thermal loads. This study will consider different approaches through the use of different material models, providing a final comparison of the assessed fatigue life. The case study is a cylindrical copper mold used for continuous casting of steel; in order to work at high temperature the mold is properly cooled, but nevertheless high stresses arise due to the huge thermal flux and its uneven distribution. The beginning of this work is focused on understanding theories and models available in literature in order to implement data in a finite element software. A comparison of two software (Ansys and Marc Mentat) is carried out, with the purpose of verifying experimental data coming from another work [3]. Subsequently we use Marc Mentat to define a coupled thermal-mechanical analysis, and we perform it using a combined model. A huge computational time is required to get the solution, so other models were exploited in order to save time, and the variation of the obtained solution was evaluated. Several simulations are performed for reaching stabilized conditions, from where strain data will be used to define fatigue life through the number of cycles to failure. The subsequent chapter takes care of this last concept, giving a brief explanation of fatigue and using data coming from previous simulations for assessing fatigue life. A final comparison is provided with the purpose of finding a trade off between the solution’s reliability and the time employed. In the appendix the macro used for the computed simulations are attached.
Marko
Vit chennai Master thesis for Big data analytics
Vit chennai Master thesis for Big data analytics
In Email Analytics, our main focus on criminal and civil investigation from large email dataset. It is very difficult to deal with challenging task for investigator due to large size of email dataset. This paper offer an interactive email analytics various to current and manually intensive technique is used for search evidence from large email dataset. In investigation process, many emails are irrelevant to the investigation so it will force investigator to search carefully through email in order to find relevant emails manually. This process is very costly in terms of money and times. To help to investigation process. We combine Elasticsearch, Logstash and Kibana for data storing, data preprocessing, data visualization and data analytics and displaying results. In this process reduce the number of email which are irrelevant for investigation. It shows the relationship between them and also analyzing the email corpus based on topic relation using text mining.
gajanan mirkhale
GENE 245 Project Machine Learning for HiC data
GENE 245 Project Machine Learning for HiC data
In this work we apply machine learning as a conducive method towards identifying previously unstudied patterns in chromosome interaction data sets. We rst use supervised learning to show that patterns identi ed by a user can be learned by tensor ow models, and then transition into unsupervised methods to delve even more deeply into the possibilities of discovery without human intervention.
Lan Huong Nguyen, Dan Iter, Robert Bierman
Template for physics reports
Template for physics reports
Template for students in physics at Reykjavik University.
Friðrik Hover
Chapters 1-3 of Connecting the Last Billion
Chapters 1-3 of Connecting the Last Billion
Chapters 1-3 of my PhD dissertation.
Yahel Ben-David
Reconocimiento De Especies Arboreas Usando PDI
Reconocimiento De Especies Arboreas Usando PDI
En este documento se muestra un acercamiento identificación de especies arbóreas mediante Histogramas De Gradientes Orientados y maquinas de soporte Vectorial.
Raúl

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