Este documento describe un proyecto arquitectónico realizado por el estudiante Richard J. Sequera bajo la tutela del Arq. Cedily Guedez en el Instituto Universitario Politécnico Santiago Mariño en Barinas. Se detallan las medidas de las columnas en la esquina, el centro y los laterales del proyecto.
This document provides screenshots and descriptions of features from a location-based mobile game called "The Great S.T.E.M. Caper" that aims to teach science, technology, engineering and math (STEM) skills to players. The game takes place in a real-world location called Science City and challenges players to complete quests by finding and scanning QR codes around the area. Players earn points in STEM areas by completing quests, with the goal of getting enough points to win master badges or the full game. The document shares screenshots of the game's map, quests, attributes tracking, decoding tool, and celebration animations that play when players achieve objectives.
Big Data Processing in the Cloud: A Hydra/Sufia Experiencerotated8
This presentation addresses the challenge of processing big data in a cloud-based data repository. Using the Hydra Project’s Hydra and Sufia ruby gems and working with the Hydra community, we created a special repository for the project, and set up background jobs. Our approach is to create the metadata with these jobs, which are distributed across multiple computing cores. This will allow us to scale our infrastructure out on an as-needed basis, and decouples automatic metadata creation from the response times seen by the user. While the metadata is not immediately available after ingestion, it does mean that the object is. By distributing the jobs, we can compute complex properties without impacting the repository server. Hydra and Sufia allowed us to get a head start by giving us a simple self deposit repository, complete with background jobs support via Redis and Resque.
Les débuts du libre accès aux résultats de la recherche LENABOSC
Cette communication a été faite, 4 mois après la Déclaration de Budapest de février 2002, grâce aux informaticiens qui avaient depuis longtemps la vision du Libre et qui ont organisé les journées du Libre en mai 2002.
Cette présentation permet de mesurer les progrès faits en douze ans, en France comme dans le monde : des chiffres sur l'auto-archivage.sont donnés. Les premiers essais de périodiques en libre accès sont mentionnés, etc.
This document discusses human genetics and genetic disorders. It begins by noting statistics on genetic abnormalities in newborns and diseases with a genetic component. It then defines genetics, genomics, proteomics, and single nucleotide polymorphisms. The rest of the document discusses molecular bases of human disease including functional and positional cloning. It classifies human diseases and discusses mutations, Mendelian disorders, X-linked disorders, and autosomal dominant and recessive patterns of inheritance. Key points covered include definitions of genetic terms, Mendel's laws of inheritance, mechanisms of various disorders, and inheritance patterns.
Este documento describe un proyecto arquitectónico realizado por el estudiante Richard J. Sequera bajo la tutela del Arq. Cedily Guedez en el Instituto Universitario Politécnico Santiago Mariño en Barinas. Se detallan las medidas de las columnas en la esquina, el centro y los laterales del proyecto.
This document provides screenshots and descriptions of features from a location-based mobile game called "The Great S.T.E.M. Caper" that aims to teach science, technology, engineering and math (STEM) skills to players. The game takes place in a real-world location called Science City and challenges players to complete quests by finding and scanning QR codes around the area. Players earn points in STEM areas by completing quests, with the goal of getting enough points to win master badges or the full game. The document shares screenshots of the game's map, quests, attributes tracking, decoding tool, and celebration animations that play when players achieve objectives.
Big Data Processing in the Cloud: A Hydra/Sufia Experiencerotated8
This presentation addresses the challenge of processing big data in a cloud-based data repository. Using the Hydra Project’s Hydra and Sufia ruby gems and working with the Hydra community, we created a special repository for the project, and set up background jobs. Our approach is to create the metadata with these jobs, which are distributed across multiple computing cores. This will allow us to scale our infrastructure out on an as-needed basis, and decouples automatic metadata creation from the response times seen by the user. While the metadata is not immediately available after ingestion, it does mean that the object is. By distributing the jobs, we can compute complex properties without impacting the repository server. Hydra and Sufia allowed us to get a head start by giving us a simple self deposit repository, complete with background jobs support via Redis and Resque.
Les débuts du libre accès aux résultats de la recherche LENABOSC
Cette communication a été faite, 4 mois après la Déclaration de Budapest de février 2002, grâce aux informaticiens qui avaient depuis longtemps la vision du Libre et qui ont organisé les journées du Libre en mai 2002.
Cette présentation permet de mesurer les progrès faits en douze ans, en France comme dans le monde : des chiffres sur l'auto-archivage.sont donnés. Les premiers essais de périodiques en libre accès sont mentionnés, etc.
This document discusses human genetics and genetic disorders. It begins by noting statistics on genetic abnormalities in newborns and diseases with a genetic component. It then defines genetics, genomics, proteomics, and single nucleotide polymorphisms. The rest of the document discusses molecular bases of human disease including functional and positional cloning. It classifies human diseases and discusses mutations, Mendelian disorders, X-linked disorders, and autosomal dominant and recessive patterns of inheritance. Key points covered include definitions of genetic terms, Mendel's laws of inheritance, mechanisms of various disorders, and inheritance patterns.
Este documento presenta información sobre un tutor y un participante en una sesión en el Instituto Universitario Politécnico Santiago Mariño en Barinas, Venezuela. La arquitecta Cedily Guedez fue la tutora y Richard J. Sequera participó como estudiante de ingeniería.
Computational challenges in precision medicine and genomicsGary Bader
Genomics is mapping complex data about human biology and promises major medical advances. In particular, genomics is enabling precision medicine, the use of a patient's genome and physiological state to improve therapeutic efficacy and outcome. However, routine use of genomics data in medical research is in its infancy, due mainly to the challenges of working with "Big data". These data are so complex and large that typical researchers are not able to cope with them. Collectively, these data require an understanding of many aspects of experimental biology and medicine to correctly process and interpret. Data size is also an issue, as individual researchers may need to handle tens of terabytes (genomes from a few hundred patients), which is challenging to download and store on typical workstations. To effectively support precision medicine, scientists from a wide range of disciplines, including computer science, must develop algorithms to improve precision medicine (e.g. diagnostics and prognostics), genome interpretation, raw data processing and secure high performance computing.
This document contains the resume of Deepa Anbalagan. She has over 4 years of experience as an Associate Solution Developer at Oracle, where she has worked on e-commerce applications using technologies like JSP, JavaScript, Servlets, and Oracle Commerce Platform 11.0. She has experience designing and developing web applications using the MVC pattern. Her skills include Java, Ruby, JSP, HTML, CSS, Oracle and SQL databases. She holds a B.Tech degree from PSG College of Technology with over 80% marks. Her most recent project involved developing an e-commerce mobile application integrating products and services using ATG, BRM and Siebel.
O documento apresenta os principais serviços de dados do Azure, incluindo máquinas virtuais, SQL Database, DocumentDB, Redis Cache e armazenamento. Ele discute as diferenças entre SQL e NoSQL, com exemplos de DocumentDB e tabelas do Azure. Por fim, aborda serviços avançados como StorSimple, Azure Search e SQL Data Warehouse.
TechEd 2011: Raio-X do SQL Server: Arquitetura Interna do Gerenciador de Ban...Fabrício Catae
1) O documento descreve a arquitetura interna do SQL Server, incluindo como armazena e indexa dados, gerencia a memória e executa consultas.
2) Os dados são armazenados em estruturas como IAM, GAM, SGAM e PFS e indexados usando índices agrupados ou não-agrupados.
3) O gerenciador de buffer armazena dados e índices na memória para rápido acesso, escrevendo-os periodicamente no disco através do processo de escrita preguiçosa.
Introdução a Árvore de Dados Adaptativa (WTA 2011)Fabrício Catae
Introdução sobre uma estrutura de árvode de dados adaptativa. Embora tenha sido apresentada em 2011, o assunto continua bastante relevante por causa do interesse sobre Machine Learning. Durante a palestra, introduzimos o conceito de "complexidade algorítmica" (Kolmogorov), que fundamenta a questão da aprendizagem de máquina.
Como funciona um banco de dados? (Prudente TechDay 2010)Fabrício Catae
O documento apresenta os principais conceitos de banco de dados relacionais, incluindo como o SQL Server processa consultas, gerencia armazenamento de dados e controla transações de forma a garantir propriedades ACID. É descrito o funcionamento interno de componentes como o otimizador de consultas, gerenciador de buffer e controle de transações.
Este documento apresenta os principais recursos novos do Transact-SQL no SQL Server 2005, incluindo novos tipos de dados como XML e varchar(max), novas funcionalidades como DML com cláusula OUTPUT e TOP (%n), e melhorias como exceção handling, common table expressions e novos operadores relacionais como PIVOT e UNPIVOT. O documento fornece exemplos de como utilizar essas novas funcionalidades.
Este documento presenta información sobre un tutor y un participante en una sesión en el Instituto Universitario Politécnico Santiago Mariño en Barinas, Venezuela. La arquitecta Cedily Guedez fue la tutora y Richard J. Sequera participó como estudiante de ingeniería.
Computational challenges in precision medicine and genomicsGary Bader
Genomics is mapping complex data about human biology and promises major medical advances. In particular, genomics is enabling precision medicine, the use of a patient's genome and physiological state to improve therapeutic efficacy and outcome. However, routine use of genomics data in medical research is in its infancy, due mainly to the challenges of working with "Big data". These data are so complex and large that typical researchers are not able to cope with them. Collectively, these data require an understanding of many aspects of experimental biology and medicine to correctly process and interpret. Data size is also an issue, as individual researchers may need to handle tens of terabytes (genomes from a few hundred patients), which is challenging to download and store on typical workstations. To effectively support precision medicine, scientists from a wide range of disciplines, including computer science, must develop algorithms to improve precision medicine (e.g. diagnostics and prognostics), genome interpretation, raw data processing and secure high performance computing.
This document contains the resume of Deepa Anbalagan. She has over 4 years of experience as an Associate Solution Developer at Oracle, where she has worked on e-commerce applications using technologies like JSP, JavaScript, Servlets, and Oracle Commerce Platform 11.0. She has experience designing and developing web applications using the MVC pattern. Her skills include Java, Ruby, JSP, HTML, CSS, Oracle and SQL databases. She holds a B.Tech degree from PSG College of Technology with over 80% marks. Her most recent project involved developing an e-commerce mobile application integrating products and services using ATG, BRM and Siebel.
O documento apresenta os principais serviços de dados do Azure, incluindo máquinas virtuais, SQL Database, DocumentDB, Redis Cache e armazenamento. Ele discute as diferenças entre SQL e NoSQL, com exemplos de DocumentDB e tabelas do Azure. Por fim, aborda serviços avançados como StorSimple, Azure Search e SQL Data Warehouse.
TechEd 2011: Raio-X do SQL Server: Arquitetura Interna do Gerenciador de Ban...Fabrício Catae
1) O documento descreve a arquitetura interna do SQL Server, incluindo como armazena e indexa dados, gerencia a memória e executa consultas.
2) Os dados são armazenados em estruturas como IAM, GAM, SGAM e PFS e indexados usando índices agrupados ou não-agrupados.
3) O gerenciador de buffer armazena dados e índices na memória para rápido acesso, escrevendo-os periodicamente no disco através do processo de escrita preguiçosa.
Introdução a Árvore de Dados Adaptativa (WTA 2011)Fabrício Catae
Introdução sobre uma estrutura de árvode de dados adaptativa. Embora tenha sido apresentada em 2011, o assunto continua bastante relevante por causa do interesse sobre Machine Learning. Durante a palestra, introduzimos o conceito de "complexidade algorítmica" (Kolmogorov), que fundamenta a questão da aprendizagem de máquina.
Como funciona um banco de dados? (Prudente TechDay 2010)Fabrício Catae
O documento apresenta os principais conceitos de banco de dados relacionais, incluindo como o SQL Server processa consultas, gerencia armazenamento de dados e controla transações de forma a garantir propriedades ACID. É descrito o funcionamento interno de componentes como o otimizador de consultas, gerenciador de buffer e controle de transações.
Este documento apresenta os principais recursos novos do Transact-SQL no SQL Server 2005, incluindo novos tipos de dados como XML e varchar(max), novas funcionalidades como DML com cláusula OUTPUT e TOP (%n), e melhorias como exceção handling, common table expressions e novos operadores relacionais como PIVOT e UNPIVOT. O documento fornece exemplos de como utilizar essas novas funcionalidades.