Reported Speech
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The document discusses different ways to report or summarize what someone said in indirect or reported speech. It provides examples of changing direct quotes like "I am hungry" to reported speech like "She said she was hungry." It also discusses changing other aspects like pronouns, adverbs, verbs, and time expressions when converting to reported speech.
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Reported speech
This document provides an overview of reported speech, including how to change direct quotes into indirect speech by modifying verb tenses and other elements like time and place adverbs. It shows examples of changing direct questions, commands, and suggestions into indirect speech. Reported speech conveys the meaning of what someone said without using their exact words.
Reported Speech
Here are the verbs in the passive voice:
1. He was accused of stealing money from the company.
2. I offered to help him, but he said he could manage.
3. He apologized for having lost his temper with me.
4. His boss threatened to sack him if he was late one more time.
5. Will you remind me to get some more petrol before we leave?
6. Of course, she denies being anywhere near the scene of the crime.
7. He warned the children not to walk on the frozen lake.
8. Her family insisted on the entire holiday being paid for.
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The document provides examples of how to change direct speech into indirect or reported speech in English. It covers changing pronouns, adverbs, conjunctions, time expressions and other elements when moving from direct to indirect speech. Verbs used to report speech like said, told, asked, ordered etc. are also discussed.
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Reported speech
This document provides an overview of reported speech, including how to change direct quotes into indirect speech by modifying verb tenses and other elements like time and place adverbs. It shows examples of changing direct questions, commands, and suggestions into indirect speech. Reported speech conveys the meaning of what someone said without using their exact words.
Reported Speech
Here are the verbs in the passive voice:
1. He was accused of stealing money from the company.
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The document describes the daily routines of three individuals. The first person wakes up at 5:00 am, takes a shower, has breakfast at 6:00 am, leaves for work at 6:15 am taking the bus, arrives at work at 7:00 am, has lunch at 12:00 pm and leaves work at 5:00 pm, then has dinner and watches TV before going to bed. The second person wakes up at 5:00 am, takes a shower, has breakfast, leaves for work at 7:30 am taking a bus, starts work at 8:00 am, has a snack at 10:30 am, has lunch from 1:00-1:30 pm, finishes work at 5:00
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The document provides examples of how to change direct speech into indirect or reported speech in English. It covers changing pronouns, adverbs, conjunctions, time expressions and other elements when moving from direct to indirect speech. Verbs used to report speech like said, told, asked, ordered etc. are also discussed.
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This document discusses various ways to report what someone has said in indirect or reported speech. It covers changing statements, questions, requests, commands, and expressions of time and place into the appropriate grammatical form for reported speech. Pronouns, verb tenses, and modal verbs may need to be adjusted depending on what was originally said directly.
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This document discusses various ways to report what someone has said in indirect or reported speech. It covers changing statements, questions, requests, commands, and expressions of time and place into the appropriate grammatical form for reported speech. Pronouns, verb tenses, and modal verbs may need to be adjusted depending on what was originally said directly.
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The document provides information on how to report or change direct speech into indirect speech or reported speech in English. It includes rules for changing verb tenses, pronouns, adverbs of time and place, and other elements of speech depending on whether it is being reported in the past, present or future. Examples are provided to illustrate reporting commands, questions, requests, statements and other speech acts indirectly rather than directly quoting the original speaker.
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The document discusses direct and indirect speech in English. Direct speech uses quotation marks to report the exact words spoken, while indirect speech does not use quotation marks and does not have to be word-for-word. Indirect speech requires changing pronouns, adverbs of time and verbs to reflect the current tense. Commands and questions also change structure in indirect speech.
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We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
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Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
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12. Jupyter Notebooks with Code Examples
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Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
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5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
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 grid’s 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.
What to expect
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-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
June Patch Tuesday
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How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
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