Parts of speech presentation
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This document defines and provides examples of the main parts of speech: nouns, pronouns, verbs, adjectives, and prepositions. Nouns name people, places, things, or ideas. Proper nouns specifically name people, places, or things. Common nouns name everyday objects. Verbs indicate actions. Adjectives describe nouns. Pronouns are used in place of nouns. Prepositions show relationships between nouns and other words in a sentence, such as behind, below, or during.
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This document defines and provides examples of the eight parts of speech:
1) Nouns name people, places, things, or ideas and can be proper or common. Proper nouns are capitalized while common nouns are not.
2) Pronouns are used in place of nouns. Examples include he, him, his, she, her, hers, and it.
3) Verbs express actions or states of being and can be action verbs, verb phrases, or helping/auxiliary verbs.
4) Prepositions show relationships between nouns and other words, such as up, down, in, out, and through.
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廬 CNC 廡 廬 廨 廬廨 廡 廨廬 廨 廢廨 廨. 廡 廖廣 廨 廢廨 -x 廢廣廬 廢廨 廡, 廬廚廖 廣" 廢廬 廬, 廩 廢廨 廢廣 setup (廬廬) 廩 廩 廡. Trends Artificial Intelligence - Mary Meeker
Trends Artificial Intelligence - Mary MeekerClive Dickens
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Mary Meekers 2024 AI report highlights a seismic shift in productivity, creativity, and business value driven by generative AI. She charts the rapid adoption of tools like ChatGPT and Midjourney, likening todays moment to the dawn of the internet. The report emphasizes AIs impact on knowledge work, software development, and personalized serviceswhile also cautioning about data quality, ethical use, and the human-AI partnership. In short, Meeker sees AI as a transformative force accelerating innovation and redefining how we live and work.Dancing with AI - A Developer's Journey.pptx
Dancing with AI - A Developer's Journey.pptxElliott Richmond
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In this talk, Elliott explores how developers can embrace AI not as a threat, but as a collaborative partner.
Well examine the shift from routine coding to creative leadership, highlighting the new developer superpowers of vision, integration, and innovation.
We'll touch on security, legacy code, and the future of democratized development.
Whether you're AI-curious or already a prompt engineering, this session will help you find your rhythm in the new dance of modern development.
Agentic AI: Beyond the Buzz- LangGraph Studio V2
Agentic AI: Beyond the Buzz- LangGraph Studio V2Shashikant Jagtap
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Presentation given at the LangChain community meetup London
https://lu.ma/9d5fntgj
Coveres
Agentic AI: Beyond the Buzz
Introduction to AI Agent and Agentic AI
Agent Use case and stats
Introduction to LangGraph
Build agent with LangGraph Studio V2MCP vs A2A vs ACP: Choosing the Right Protocol | Bluebash
MCP vs A2A vs ACP: Choosing the Right Protocol | BluebashBluebash
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Understand the differences between MCP vs A2A vs ACP agent communication protocols and how they impact AI agent interactions. Get expert insights to choose the right protocol for your system. To learn more, click here: https://www.bluebash.co/blog/mcp-vs-a2a-vs-acp-agent-communication-protocols/Integration of Utility Data into 3D BIM Models Using a 3D Solids Modeling Wor...
Integration of Utility Data into 3D BIM Models Using a 3D Solids Modeling Wor...Safe Software
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Jacobs has developed a 3D utility solids modelling workflow to improve the integration of utility data into 3D Building Information Modeling (BIM) environments. This workflow, a collaborative effort between the New Zealand Geospatial Team and the Australian Data Capture Team, employs FME to convert 2D utility data into detailed 3D representations, supporting enhanced spatial analysis and clash detection.
To enable the automation of this process, Jacobs has also developed a survey data standard that standardizes the capture of existing utilities. This standard ensures consistency in data collection, forming the foundation for the subsequent automated validation and modelling steps. The workflow begins with the acquisition of utility survey data, including attributes such as location, depth, diameter, and material of utility assets like pipes and manholes. This data is validated through a custom-built tool that ensures completeness and logical consistency, including checks for proper connectivity between network components. Following validation, the data is processed using an automated modelling tool to generate 3D solids from 2D geometric representations. These solids are then integrated into BIM models to facilitate compatibility with 3D workflows and enable detailed spatial analyses.
The workflow contributes to improved spatial understanding by visualizing the relationships between utilities and other infrastructure elements. The automation of validation and modeling processes ensures consistent and accurate outputs, minimizing errors and increasing workflow efficiency.
This methodology highlights the application of FME in addressing challenges associated with geospatial data transformation and demonstrates its utility in enhancing data integration within BIM frameworks. By enabling accurate 3D representation of utility networks, the workflow supports improved design collaboration and decision-making in complex infrastructure projectsNational Fuels Treatments Initiative: Building a Seamless Map of Hazardous Fu...
National Fuels Treatments Initiative: Building a Seamless Map of Hazardous Fu...Safe Software
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The National Fuels Treatments Initiative (NFT) is transforming wildfire mitigation by creating a standardized map of nationwide fuels treatment locations across all land ownerships in the United States. While existing state and federal systems capture this data in diverse formats, NFT bridges these gaps, delivering the first truly integrated national view. This dataset will be used to measure the implementation of the National Cohesive Wildland Strategy and demonstrate the positive impact of collective investments in hazardous fuels reduction nationwide. In Phase 1, we developed an ETL pipeline template in FME Form, leveraging a schema-agnostic workflow with dynamic feature handling intended for fast roll-out and light maintenance. This was key as the initiative scaled from a few to over fifty contributors nationwide. By directly pulling from agency data stores, oftentimes ArcGIS Feature Services, NFT preserves existing structures, minimizing preparation needs. External mapping tables ensure consistent attribute and domain alignment, while robust change detection processes keep data current and actionable. Now in Phase 2, were migrating pipelines to FME Flow to take advantage of advanced scheduling, monitoring dashboards, and automated notifications to streamline operations. Join us to explore how this initiative exemplifies the power of technology, blending FME, ArcGIS Online, and AWS to solve a national business problem with a scalable, automated solution.If You Use Databricks, You Definitely Need FME
If You Use Databricks, You Definitely Need FMESafe Software
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DataBricks makes it easy to use Apache Spark. It provides a platform with the potential to analyze and process huge volumes of data. Sounds awesome. The sales brochure reads as if it is a can-do-all data integration platform. Does it replace our beloved FME platform or does it provide opportunities for FME to shine? Challenge acceptedBridging the divide: A conversation on tariffs today in the book industry - T...
Bridging the divide: A conversation on tariffs today in the book industry - T...BookNet Canada
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A collaboration-focused conversation on the recently imposed US and Canadian tariffs where speakers shared insights into the current legislative landscape, ongoing advocacy efforts, and recommended next steps. This event was presented in partnership with the Book Industry Study Group.
Link to accompanying resource: https://bnctechforum.ca/sessions/bridging-the-divide-a-conversation-on-tariffs-today-in-the-book-industry/
Presented by BookNet Canada and the Book Industry Study Group on May 29, 2025 with support from the Department of Canadian Heritage.Data Virtualization: Bringing the Power of FME to Any Application
Data Virtualization: Bringing the Power of FME to Any ApplicationSafe Software
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Imagine building web applications or dashboards on top of all your systems. With FMEs new Data Virtualization feature, you can deliver the full CRUD (create, read, update, and delete) capabilities on top of all your data that exploit the full power of FMEs all data, any AI capabilities. Data Virtualization enables you to build OpenAPI compliant API endpoints using FME Forms no-code development platform.
In this webinar, youll see how easy it is to turn complex data into real-time, usable REST API based services. Well walk through a real example of building a map-based app using FMEs Data Virtualization, and show you how to get started in your own environment no dev team required.
What youll take away:
-How to build live applications and dashboards with federated data
-Ways to control whats exposed: filter, transform, and secure responses
-How to scale access with caching, asynchronous web call support, with API endpoint level security.
-Where this fits in your stack: from web apps, to AI, to automation
Whether youre building internal tools, public portals, or powering automation this webinar is your starting point to real-time data delivery.FME Beyond Data Processing Creating A Dartboard Accuracy App
FME Beyond Data Processing Creating A Dartboard Accuracy AppSafe Software
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At Nordend, we want to push the boundaries of FME and explore its potential for more creative applications. In our office, we have a dartboard, and while improving our dart-throwing skills was an option, we took a different approach: What if we could use FME to calculate where we should aim to achieve the highest possible score, based on our accuracy? Using FMEs Geometry User parameter, we designed a custom solution. When launching the FME Flow app, the map is now a dartboard. The centre of the map is always fixed on the same area of the world, where we pinned a PNG picture of a dartboard as a basemap through a self-created WMS. This visual setup allowed us to draw polygonseach with three pointswhere our darts landed, using the Geometry parameter. These polygons get processed through an FME workspace, which translates the coordinates from the map into exact X and Y positions on the dartboard. With this accurate data, we calculate all sorts of statistics: rolling averages, best scores, and even standard deviations. The results get displayed on a dashboard in FME Flow, giving us insights into how we could maximize our scores, based purely on where we actually tend to throw. Join us for a live demonstration of the app! The takeaway? FME isnt just a powerful data processing tool; with a bit of imagination, it can be used for far more creative and unconventional applications. This project demonstrates that the only limit to what FME can do is the creativity you bring to it.TimeSeries Machine Learning - PyData London 2025
TimeSeries Machine Learning - PyData London 2025Suyash Joshi
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Timeseries Machine Learning - forecasting and anomaly detection with InfluxDB6th Power Grid Model Meetup - 21 May 2025
6th Power Grid Model Meetup - 21 May 2025DanBrown980551
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6th Power Grid Model Meetup
Join the Power Grid Model community for an exciting day of sharing experiences, learning from each other, planning, and collaborating.
This hybrid in-person/online event will include a full day agenda, with the opportunity to socialize afterwards for in-person attendees.
If you have a hackathon proposal, tell us when you register!
About Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grids behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.GIS and FME: The Foundation to Improve the Locate Process of Utilities
GIS and FME: The Foundation to Improve the Locate Process of UtilitiesSafe Software
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Locate requests is an important activity for utility companies to prevent people who are digging from damaging underground assets. At Energir, locates were historically treated by our internal field technicians. Its a very intensive and time-sensitive task during the summer season and it has a significant financial and environmental cost. Since locate requests tend to increase from year to year, it became clear that improvements were needed to keep delivering a quality service to requestors and keeping Energirs assets safe. This presentation will explain how transformative projects done in the past years allowed to start sending locate plans to requestors without the intervention of field technicians. The analysis of the GIS data through FME workbenchs allows to filter some locate request types and process them semi-automatically. However, the experience gained so far shows that this process is limited by the fact that Energirs is missing precise information about the spatial accuracy. Future plans are to precisely locate most of Energirs gas network and FME will again be a huge help to integrate all the data that will be produced.Introduction to Typescript - GDG On Campus EUE
Introduction to Typescript - GDG On Campus EUEGoogle Developer Group On Campus European Universities in Egypt
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Ad
Parts of speech presentation
- 1. Parts of SpeechParts of Speech ELAR 2012-2013ELAR 2012-2013 Ms. PoynterMs. Poynter http://www.godleyisd.nethttp://www.godleyisd.net
- 2. PARTS OF SPEECHPARTS OF SPEECH NOUNS PRONOUNSPREPOSITIONS VERBS ADJECTIVES
- 3. NOUNSNOUNS Names a person, place, thing, or ideaNames a person, place, thing, or idea Proper nouns name a specific person,Proper nouns name a specific person, place, thing, or idea. (Ex. Godley, Tacoplace, thing, or idea. (Ex. Godley, Taco Bell, Harris Hospital)Bell, Harris Hospital) Common nouns name everyday things.Common nouns name everyday things. (For example: dog, house, man)(For example: dog, house, man)
- 5. ADJECTIVESADJECTIVES Describe a nounDescribe a noun.. Examples: small, pretty,Examples: small, pretty, white, witwhite, wittyty
- 6. VERBSVERBS Tells what is being done in the sentence.Tells what is being done in the sentence. Examples: read, sing, laugh, hitExamples: read, sing, laugh, hit Hint: Look for Action words.Hint: Look for Action words.
- 7. PRONOUNSPRONOUNS A word that is used to replace aA word that is used to replace a noun.noun. Examples:Examples: he, him, she, her, it, my,he, him, she, her, it, my, mine, theirmine, their
- 8. PREPOSITIONSPREPOSITIONS A preposition shows theA preposition shows the relationship between a nounrelationship between a noun or pronoun and other wordsor pronoun and other words in a sentence.in a sentence. Examples:Examples: DurinDuring the race.g the race. UndeUnder the bed. Gor the bed. Go behinbehind thed the store.store. EXAMPLESEXAMPLES Behind, below, above,Behind, below, above, down, during, from,down, during, from, near, past, towards,near, past, towards, under, upon, beyondunder, upon, beyond
- 9. Works CitedWorks Cited ECW Nouns.ECW Nouns. YoutubeYoutube 08 February 2007.08 February 2007. <http://www.youtube.com/watch?<http://www.youtube.com/watch? v=VdCRkAuQtbsv=VdCRkAuQtbs
- 10. Works CitedWorks Cited ECW Nouns.ECW Nouns. YoutubeYoutube 08 February 2007.08 February 2007. <http://www.youtube.com/watch?<http://www.youtube.com/watch? v=VdCRkAuQtbsv=VdCRkAuQtbs