Migration
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The document summarizes research into different types of migration. It studied voluntary migration as well as involuntary or refugee migration through interviews with migrants and refugees, and by examining the immigration process. Key findings included that voluntary migration is often due to love, work or seeking a better life, while involuntary migration stems from war, politics or religion. Practical considerations for migrating include obtaining proper documentation, visas, work permits and housing, as well as education and employment in the new country under temporary residence permits.
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This document discusses media and collective identity in Britain. It addresses how the media can shape perceptions of what it means to be British through news coverage of issues like immigration. Students are asked to consider their own attitudes towards immigration and analyze how news articles represent immigration using theories around how the media can reinforce stereotypes or strive for journalistic ideals of fairness, accuracy, and balance.
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The document summarizes several Dutch festivals including: Sugarfestival celebrated by Muslims after Ramadan with food and gifts; Queen's Day on April 30th where the queen visits cities; Sinterklaas on December 5th where Sinterklaas brings gifts for children; Prinsjesdag on the third Tuesday of September where the queen gives a speech on government plans; Remembrance Day on May 4th to honor World War 2 casualties; Liberation Day on May 5th celebrating the end of World War 2; and the Elfstedentocht ice skating race through 11 Friesland cities, with the most recent held in 1997.
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Migration
The document summarizes research into different types of migration. It studied voluntary migration as well as involuntary or refugee migration through interviews with migrants and refugees, and by examining the immigration process and surveying non-native students. The research found that voluntary migration is often due to love, work, or seeking a better life, while involuntary migration stems from war, politics or religion. Additionally, it explored the considerations and steps for both legally and illegally entering a new country as a migrant or refugee.
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Deciding to become a U.S. citizen is one of the most important decisions in an individual’s life. If you decide to apply to become a U.S. citizen, you will be showing your commitment to the United States and your loyalty to its Constitution. In return, you are rewarded with all the rights and privileges that are part of U.S. citizenship.
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This document provides information about refugees and the refugee experience. It defines what constitutes persecution and the reasons someone may be persecuted, including race, religion, nationality, political opinion, or social group. It describes the stages of the refugee journey, including pre-escape conditions in their home country, the dangers of escaping, and the interview process for resettlement. Finally, it notes some of the challenges refugees face after resettlement, such as loss, cultural adaptation, economic survival, and discrimination.
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Monitoring and Managing Anomaly Detection on OpenShift
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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?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Taking AI to the Next Level in Manufacturing.pdf
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2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
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#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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Migration
- 1. Migration
- 2. Migration • What we studied • How we studied it • What we discovered
- 3. What we studied We studied different ways of migration • Voluntary migration • Involuntary migration = refugee
- 4. How we studied it • An interview with a migrant • An interview with a refugee • A research on the process of immigrating • A survey conducted among non- native students
- 5. What we discovered Reasons for voluntary migration • Love • Work • Better life
- 6. What we discovered What to think of when migrating • Getting the right papers • Visa • Work permit • Finding a place to live • Getting the right insurance and a social security number
- 7. What we discovered Reasons for involuntary migration • War • Politics • Religion
- 8. What we discovered What to do when entering a country illegally • Seek asylum • Apply for temporary residence permit
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- 10. What we discovered • Students that lived in the Middle East left because of a war • Students from other countries left because of economic reasons • Most were very young when they came to the Netherlands • They don’t get discriminated • They have a lot of friends
- 11. The End