Level Grove Elementary Tree and Mulch Zones -2014Justin Ellis
The document outlines a tree planting and mulching plan for Level Grove Elementary School. It divides the school property into 5 zones totaling 5.06 acres that will be stabilized with mulch to prevent erosion. Over 1,500 bareroot and container trees will be planted and heavily mulched. Mulch will be obtained from the city and aged before using around trees. The layout of trees will follow a linear pattern with buffers from power lines and edges. Advice will be sought on suitable tree species.
William Wilberforce foi um político e filantropo inglês do século XVIII que lutou incansavelmente pela abolição do comércio de escravos e da escravidão no Império Britânico, apesar de enfrentar forte oposição. Apesar de várias derrotas ao longo de 20 anos, ele persistiu em sua campanha com motivação religiosa até que a escravidão foi finalmente abolida em 1807 e a escravidão em 1833, poucos dias antes de sua morte.
This document provides information about G-TEC Education, an ISO-certified company that provides IT and ICT training. It discusses the 7 Ps of G-TEC's marketing strategy: (1) Their courses and certificates are their products. (2) They price courses competitively. (3) Centers are located in dense areas. (4) Promotion includes school campaigns and job fairs. (5) Trainers and alumni interact with students. (6) Students receive direct instruction. (7) Centers provide standardized infrastructure as physical evidence of the brand.
Slideshare is a website that allows users to upload and share presentations publicly or privately in common file formats like PowerPoint and PDF. With over 60 million monthly viewers, it is one of the top 200 most visited websites globally, allowing presentations to be viewed on the site, mobile devices, or embedded elsewhere on the web.
Kenny demonstrates how to build a flexible and expressive graph model and related queries that map closely to your domain needs, and which can be evolved as your application evolves.
Level Grove Elementary Tree and Mulch Zones -2014Justin Ellis
The document outlines a tree planting and mulching plan for Level Grove Elementary School. It divides the school property into 5 zones totaling 5.06 acres that will be stabilized with mulch to prevent erosion. Over 1,500 bareroot and container trees will be planted and heavily mulched. Mulch will be obtained from the city and aged before using around trees. The layout of trees will follow a linear pattern with buffers from power lines and edges. Advice will be sought on suitable tree species.
William Wilberforce foi um político e filantropo inglês do século XVIII que lutou incansavelmente pela abolição do comércio de escravos e da escravidão no Império Britânico, apesar de enfrentar forte oposição. Apesar de várias derrotas ao longo de 20 anos, ele persistiu em sua campanha com motivação religiosa até que a escravidão foi finalmente abolida em 1807 e a escravidão em 1833, poucos dias antes de sua morte.
This document provides information about G-TEC Education, an ISO-certified company that provides IT and ICT training. It discusses the 7 Ps of G-TEC's marketing strategy: (1) Their courses and certificates are their products. (2) They price courses competitively. (3) Centers are located in dense areas. (4) Promotion includes school campaigns and job fairs. (5) Trainers and alumni interact with students. (6) Students receive direct instruction. (7) Centers provide standardized infrastructure as physical evidence of the brand.
Slideshare is a website that allows users to upload and share presentations publicly or privately in common file formats like PowerPoint and PDF. With over 60 million monthly viewers, it is one of the top 200 most visited websites globally, allowing presentations to be viewed on the site, mobile devices, or embedded elsewhere on the web.
Kenny demonstrates how to build a flexible and expressive graph model and related queries that map closely to your domain needs, and which can be evolved as your application evolves.
This document provides details of a commercial property for lease located in Plot No.27 & 28, Phase 4, Udyog Vihar. The key details include a plot size of 2000 sqm with a super built up area of 50,000 sqft across 4 floors (basement, ground, first, and second floors). It has parking for 40 cars and amenities like a gym, cafeteria, and conference rooms. The document outlines the floor plans with allocation of workstations, cabins, and other facilities on each floor. It highlights features like central AC, power backup, and nearby location. Technical specifications on electricity, AC, fire safety and data network are also provided.
Back your app with MySQL and Redis on Cloud FoundryKenny Bastani
In this session, we will build a minimum viable Spring Data web service with REST API, add a MySQL backing service as the primary data store, and a Redis Labs backing service for caching. We will demonstrate performance metrics without Redis caching enabled and then with Redis caching enabled. I will also provide an intro-level explanation of the platform capabilities within Pivotal Web Services
As companies like Facebook and Google have introduced us to Graph Search and the Knowledge Graph, developers are learning the benefits of graph database architectures. Graph databases, like Neo4j, have increased in popularity by nearly 250% from last year - the highest among all other DBMS categories, according to db-engines.com. Join Kenny Bastani as we look at the benefits of using a graph database, explore various use cases and walkthrough creating a movie recommendation app on Neo4j 2.0.
Vinayaka is a multi-service catering organization in Cochin, Kerala that has been operating since 1992, providing vegetarian meals, wedding services, and event space at their convention centers and party hall. They offer core products like catering and supplementary products including three convention centers and full wedding packages. Vinayaka has established itself through quality food and service, competitive pricing, and a strategically located convention center that is easy for customers to access.
Using Docker, Neo4j, and Spring Cloud for Developing MicroservicesKenny Bastani
This document outlines a presentation about using Docker, Neo4j, and Spring Cloud for developing microservices. Specifically, it discusses using these technologies to build an application that ranks Twitter profiles using the PageRank algorithm. It provides code examples and descriptions of how to connect Neo4j and Apache Spark to submit PageRank jobs, build Spring Data repositories and domain models, connect to the Twitter API, and create a ranking dashboard.
Recent natural language processing advancements have propelled search engine and information retrieval innovations into the public spotlight. People want to be able to interact with their devices in a natural way. In this talk I will be introducing you to natural language search using a Neo4j graph database. I will show you how to interact with an abstract graph data structure using natural language and how this approach is key to future innovations in the way we interact with our devices.
Building a Graph-based Analytics PlatformKenny Bastani
Meetup is a valuable source of data for understanding trends around products or brands. Meetup does not support an analytics package to track group statistics overtime unless you are an administrator of a group. There are no third-party tools or websites that analyze Meetup trends to understand how communities grow.
In this talk I will present a graph-based analytics platform that uses the Meetup.com API to collect and analyze membership statistics over time.
This talk will cover:
How to poll and import periodic data from the Meetup.com API into Neo4j using Node.js.
How to track meetup group growth over time using a Neo4j graph database using Node.js.
How to apply tags to meetup groups and report combined growth of all groups over time.
How to build an interactive documented analytics API to support applications using Node.js and Neo4j.
How to build a business dashboard to visualize time-based statistics and reports using a Node.js based REST API that queries Neo4j.
Extending the Platform with Spring Boot and Cloud FoundryKenny Bastani
When developing cloud native applications that are deployed and operated using a cloud platform, such as Cloud Foundry, there becomes a need to provision middleware services using the platform. The result of building platform services are that developers using the platform are able to take advantage of service offerings as bindings for their application deployments.
Big Graph Analytics on Neo4j with Apache SparkKenny Bastani
In this talk I will introduce you to a Docker container that provides you an easy way to do distributed graph processing using Apache Spark GraphX and a Neo4j graph database. You'll learn how to analyze big data graphs that are exported from Neo4j and consequently updated from the results of a Spark GraphX analysis. The types of analysis I will be talking about are PageRank, connected components, triangle counting, and community detection.
Database technologies have evolved to be able to store big data, but are largely inflexible. For complex graph data models stored in a relational database there may be tedious transformations and shuffling around of data to perform large scale analysis.
Fast and scalable analysis of big data has become a critical competitive advantage for companies. There are open source tools like Apache Hadoop and Apache Spark that are providing opportunities for companies to solve these big data problems in a scalable way. Platforms like these have become the foundation of the big data analysis movement.
Speakers
Recent natural language processing advancements have propelled search engine and information retrieval innovations into the public spotlight. People want to be able to interact with their devices in a natural way. In this talk I will be introducing you to natural language search using a Neo4j graph database. I will show you how to interact with an abstract graph data structure using natural language and how this approach is key to future innovations in the way we interact with our devices.
This document discusses document classification using graphs and Neo4j. It introduces hierarchical pattern recognition (HPR) for graph-based document classification. HPR learns deep feature representations in a hierarchy using finite state machines. The features are mapped to a vector space model for classification. The document demonstrates HPR by classifying US presidential speeches by political affiliation, achieving over 70% similarity for predicted vs actual labels. It encourages attendees to get involved in the Neo4j community.
Real Madrid ganó su séptima Copa de Europa después de 32 años desde la sexta. Aunque ganarían muchas más copas de Europa en el futuro, en ese momento habían ganado nueve copas de Europa en total, habiendo ganado la primera, segunda, tercera, cuarta, quinta y sexta copas anteriormente.
Este documento describe los sistemas electrónicos y automatizados desarrollados por PRODINTEC. PRODINTEC tiene experiencia en el desarrollo e integración de sistemas electrónicos, mecánicos, de fluidos, térmicos y automatizados para industrias como energía, minería, agricultura, transporte y medicina. La empresa puede desarrollar nuevos productos, mejorar procesos productivos, y ofrece capacidades en electrónica, automatización, y recursos como laboratorios y una celda robotizada.
O documento discute mangás e animes. Primeiro define mangás como histórias em quadrinhos japonesas, traçando suas origens no teatro de sombras. Em seguida, lista exemplos populares de mangás e observa que a maioria envolve lutas. Sobre animes, explica que são animações japonesas inspiradas nos filmes da Disney, com estúdios dedicados a séries e filmes desde a segunda guerra. Finalmente, lista exemplos populares de animes e nota que a maioria é produzida pela TV Tokio.
Amig@s,
Em nome do Movimento Eco-Vida e do Fórum das Entidades do Cabo, estamos lhe enviando A CARTA DO CABO. Um diagnóstico documento com fins propositivos e com claro objetivo de contribuir de maneira efetiva na discussão sobre A CIDADE QUE QUEREMOS.
A CARTA DO CABO é fruto enriquecido por pensamentos e idéias as mais diversas, segmentadas e setorizadas, e que extremamente convergentes num pensamento maior e sem paixões, onde prevaleceu o espírito da cidadania, aponta para caminhos onde o futuro é a maior das preocupações e que portando, desde já convida, nesse presente inadiável, cada um de nós a contribuir com essa discussão.
Repasse, discuta, avalie, sugira e participe dessa construção.
Abraços à tod@s
This document provides details of a commercial property for lease located in Plot No.27 & 28, Phase 4, Udyog Vihar. The key details include a plot size of 2000 sqm with a super built up area of 50,000 sqft across 4 floors (basement, ground, first, and second floors). It has parking for 40 cars and amenities like a gym, cafeteria, and conference rooms. The document outlines the floor plans with allocation of workstations, cabins, and other facilities on each floor. It highlights features like central AC, power backup, and nearby location. Technical specifications on electricity, AC, fire safety and data network are also provided.
Back your app with MySQL and Redis on Cloud FoundryKenny Bastani
In this session, we will build a minimum viable Spring Data web service with REST API, add a MySQL backing service as the primary data store, and a Redis Labs backing service for caching. We will demonstrate performance metrics without Redis caching enabled and then with Redis caching enabled. I will also provide an intro-level explanation of the platform capabilities within Pivotal Web Services
As companies like Facebook and Google have introduced us to Graph Search and the Knowledge Graph, developers are learning the benefits of graph database architectures. Graph databases, like Neo4j, have increased in popularity by nearly 250% from last year - the highest among all other DBMS categories, according to db-engines.com. Join Kenny Bastani as we look at the benefits of using a graph database, explore various use cases and walkthrough creating a movie recommendation app on Neo4j 2.0.
Vinayaka is a multi-service catering organization in Cochin, Kerala that has been operating since 1992, providing vegetarian meals, wedding services, and event space at their convention centers and party hall. They offer core products like catering and supplementary products including three convention centers and full wedding packages. Vinayaka has established itself through quality food and service, competitive pricing, and a strategically located convention center that is easy for customers to access.
Using Docker, Neo4j, and Spring Cloud for Developing MicroservicesKenny Bastani
This document outlines a presentation about using Docker, Neo4j, and Spring Cloud for developing microservices. Specifically, it discusses using these technologies to build an application that ranks Twitter profiles using the PageRank algorithm. It provides code examples and descriptions of how to connect Neo4j and Apache Spark to submit PageRank jobs, build Spring Data repositories and domain models, connect to the Twitter API, and create a ranking dashboard.
Recent natural language processing advancements have propelled search engine and information retrieval innovations into the public spotlight. People want to be able to interact with their devices in a natural way. In this talk I will be introducing you to natural language search using a Neo4j graph database. I will show you how to interact with an abstract graph data structure using natural language and how this approach is key to future innovations in the way we interact with our devices.
Building a Graph-based Analytics PlatformKenny Bastani
Meetup is a valuable source of data for understanding trends around products or brands. Meetup does not support an analytics package to track group statistics overtime unless you are an administrator of a group. There are no third-party tools or websites that analyze Meetup trends to understand how communities grow.
In this talk I will present a graph-based analytics platform that uses the Meetup.com API to collect and analyze membership statistics over time.
This talk will cover:
How to poll and import periodic data from the Meetup.com API into Neo4j using Node.js.
How to track meetup group growth over time using a Neo4j graph database using Node.js.
How to apply tags to meetup groups and report combined growth of all groups over time.
How to build an interactive documented analytics API to support applications using Node.js and Neo4j.
How to build a business dashboard to visualize time-based statistics and reports using a Node.js based REST API that queries Neo4j.
Extending the Platform with Spring Boot and Cloud FoundryKenny Bastani
When developing cloud native applications that are deployed and operated using a cloud platform, such as Cloud Foundry, there becomes a need to provision middleware services using the platform. The result of building platform services are that developers using the platform are able to take advantage of service offerings as bindings for their application deployments.
Big Graph Analytics on Neo4j with Apache SparkKenny Bastani
In this talk I will introduce you to a Docker container that provides you an easy way to do distributed graph processing using Apache Spark GraphX and a Neo4j graph database. You'll learn how to analyze big data graphs that are exported from Neo4j and consequently updated from the results of a Spark GraphX analysis. The types of analysis I will be talking about are PageRank, connected components, triangle counting, and community detection.
Database technologies have evolved to be able to store big data, but are largely inflexible. For complex graph data models stored in a relational database there may be tedious transformations and shuffling around of data to perform large scale analysis.
Fast and scalable analysis of big data has become a critical competitive advantage for companies. There are open source tools like Apache Hadoop and Apache Spark that are providing opportunities for companies to solve these big data problems in a scalable way. Platforms like these have become the foundation of the big data analysis movement.
Speakers
Recent natural language processing advancements have propelled search engine and information retrieval innovations into the public spotlight. People want to be able to interact with their devices in a natural way. In this talk I will be introducing you to natural language search using a Neo4j graph database. I will show you how to interact with an abstract graph data structure using natural language and how this approach is key to future innovations in the way we interact with our devices.
This document discusses document classification using graphs and Neo4j. It introduces hierarchical pattern recognition (HPR) for graph-based document classification. HPR learns deep feature representations in a hierarchy using finite state machines. The features are mapped to a vector space model for classification. The document demonstrates HPR by classifying US presidential speeches by political affiliation, achieving over 70% similarity for predicted vs actual labels. It encourages attendees to get involved in the Neo4j community.
Real Madrid ganó su séptima Copa de Europa después de 32 años desde la sexta. Aunque ganarían muchas más copas de Europa en el futuro, en ese momento habían ganado nueve copas de Europa en total, habiendo ganado la primera, segunda, tercera, cuarta, quinta y sexta copas anteriormente.
Este documento describe los sistemas electrónicos y automatizados desarrollados por PRODINTEC. PRODINTEC tiene experiencia en el desarrollo e integración de sistemas electrónicos, mecánicos, de fluidos, térmicos y automatizados para industrias como energía, minería, agricultura, transporte y medicina. La empresa puede desarrollar nuevos productos, mejorar procesos productivos, y ofrece capacidades en electrónica, automatización, y recursos como laboratorios y una celda robotizada.
O documento discute mangás e animes. Primeiro define mangás como histórias em quadrinhos japonesas, traçando suas origens no teatro de sombras. Em seguida, lista exemplos populares de mangás e observa que a maioria envolve lutas. Sobre animes, explica que são animações japonesas inspiradas nos filmes da Disney, com estúdios dedicados a séries e filmes desde a segunda guerra. Finalmente, lista exemplos populares de animes e nota que a maioria é produzida pela TV Tokio.
Amig@s,
Em nome do Movimento Eco-Vida e do Fórum das Entidades do Cabo, estamos lhe enviando A CARTA DO CABO. Um diagnóstico documento com fins propositivos e com claro objetivo de contribuir de maneira efetiva na discussão sobre A CIDADE QUE QUEREMOS.
A CARTA DO CABO é fruto enriquecido por pensamentos e idéias as mais diversas, segmentadas e setorizadas, e que extremamente convergentes num pensamento maior e sem paixões, onde prevaleceu o espírito da cidadania, aponta para caminhos onde o futuro é a maior das preocupações e que portando, desde já convida, nesse presente inadiável, cada um de nós a contribuir com essa discussão.
Repasse, discuta, avalie, sugira e participe dessa construção.
Abraços à tod@s
9. Новая
техника
2T140 - Сверлильный станок [d сверл. 40 мм]
Описание:
Сверлильный станок предназначен для сверления, рассверливания, зенкерования, зенкования,
нарезания резьбы, подрезки торцев. Обработка на станке производится как с ручной, так и с
механической подачей шпинделя. На станке допускается нарезание резьб с ручным управлением
реверсирования шпинделя и в автоматическом режиме. Наиболее эффективно станок можно
использовать в условиях индивидуального и мелкосерийного производства, а при соответствующем
оснащении - в крупносерийном и массовом. Станок позволяет использовать различные приспособления
и инструменты, расширяющие его технологические возможности.
Гарантийное и сервисное обслуживание
осуществляется специалистами Сервисного центра ДВТ. Тел. (095) 778-67-69, 325-46-90.
Технические характеристики:
Диаметр сверления в стали
40 мм
Диаметр нарезаемой резьбы в стали
М24
Конус шпинделя
Морзе 4
Расстояние от оси шпинделя до образующей колонны (вылет)
300 мм
Перемещение шпинделя
160 мм
Расстояние от торца шпинделя до стола
0...700 мм
Расстояние от торца шпинделя до плиты
1100 мм
Перемещение сверлильной головки
240 мм