PPS Enrollment Data
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The document contains repeated references to data sources for Wilhelmi/Singer 2009 including the 2008-2009 School Profiles & Enrollment Data from Portland Public Schools and R&E from 2009. It notes that certain rates are for specific campuses and that academic priority is defined as not passing at least two of three state exams in 8th grade or receiving a D or F in 8th grade English or math.
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DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
TrustArc Webinar - 2024 Global Privacy Survey
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.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Infrastructure Challenges in Scaling RAG with Custom AI models
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Best 20 SEO Techniques To Improve Website Visibility In SERP
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
OpenID AuthZEN Interop Read Out - Authorization
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
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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.
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PPS Enrollment Data
- 2. Wilhelmi/Singer 2009 Source: 2008-2009 School Profiles & Enrollment Data, PPS
- 3. Wilhelmi/Singer 2009 Source: 2008-2009 School Profiles & Enrollment Data, PPS
- 4. Wilhelmi/Singer 2009 Source: 2008-2009 School Profiles & Enrollment Data, PPS
- 5. Wilhelmi/Singer 2009 Source: 2008-2009 School Profiles & Enrollment Data, PPS
- 6. Wilhelmi/Singer 2009 Source: 2008-2009 School Profiles & Enrollment Data, PPS
- 7. Wilhelmi/Singer 2009 BizTech, Pauling, Renaissance, ACT, POWER, SEIS are campus rates Source: 2008-2009 School Profiles & Enrollment Data, PPS
- 8. Wilhelmi/Singer 2009 Source: 2008-2009 School Profiles & Enrollment Data, PPS
- 9. Wilhelmi/Singer 2009 *Percent of students enrolled for most of the school year Source: 2008-2009 School Profiles & Enrollment Data, PPS
- 10. Wilhelmi/Singer 2009 Source: 2008-2009 School Profiles & Enrollment Data, PPS
- 11. Wilhelmi/Singer 2009 Source: 2008-2009 School Profiles & Enrollment Data, PPS
- 12. Wilhelmi/Singer 2009 BizTech, Pauling, Renaissance, ACT, POWER, SEIS are campus rates *Academic Priority: Did not pass at least 2 of 3 state exams (reading, math, science) in 8 th grade (2007-08) and/or received D or F in 8 th grade English or math Source: 2008-2009 School Profiles & Enrollment Data, PPS
- 13. Wilhelmi/Singer 2009 Source: R&E, 2009
- 14. Wilhelmi/Singer 2009 Source: R&E, 2009
- 15. Wilhelmi/Singer 2009 Source: 2008-2009 School Profiles & Enrollment Data, PPS
- 16. Wilhelmi/Singer 2009 Source: 2008-2009 School Profiles & Enrollment Data, PPS
- 17. Wilhelmi/Singer 2009 Source: 2008-2009 School Profiles & Enrollment Data, PPS
- 18. Wilhelmi/Singer 2009 Source: 2008-2009 School Profiles & Enrollment Data, PPS
- 19. Wilhelmi/Singer 2009 BizTech, Pauling, Renaissance, ACT, POWER, SEIS are campus rates Source: R&E, 2009