mathrick and blackhole mathematics
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This document contains a group assignment for a number theory class. It lists the names of three students: Rizky Titie R, Shofia Hidayah, and Marlia Sari P. It then provides examples of math tricks for multiplying numbers by 11, 55, 77, 88, and 99. Each trick shows the steps to break down a number based on its digits and then recombine it to get the answer. It also includes an attempt to prove an equation involving zeros that results in an undefined solution.
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This document contains a number theory group project by Rizky Titie R, Shofia Hidayah, and Marlia Sari P. It demonstrates a math trick for multiplying large numbers by 11, 55, 77, 88, and 99 by breaking the numbers into digits and placing them in a formula based on the multiplier. Six examples are shown of using the trick to multiply numbers by the given values and obtaining the correct solution.
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This document contains a math trick for multiplying large numbers by 11, 55, 77, 88, and 99. It demonstrates the trick by showing the steps to multiply 6 example numbers by each value and displaying the final products. The trick involves breaking down the numbers into individual digits and placing them in a line corresponding to the multiplier.
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While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
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
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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
Pushing the limits of ePRTC: 100ns holdover for 100 days
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
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.
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
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mathrick and blackhole mathematics
- 1. Number Theory GROUP 3th 1.RIZKY TITIE R . (110210101029) 2.SHOFIA HIDAYAH (110210101036) 3.MARLIA SARI P . (110210101087)
- 2. Math TrickMath Trick Black HoleBlack Hole Number TheoryNumber Theory
- 3. Math TrickMath TrickMultiply byMultiply by 11s11s 55s55s 77s77s 99s99s 88s88s
- 4. 362537892 x 11 = … 39878(10)(15)(17)(11)2 3987916812 So, 362537892 x 11 = 3987916812 Math TrickMath TrickMultiply byMultiply by 11s11s 55s55s 77s77s 99s99s 88s88s
- 5. 625178342 x 55 = … 30(40)(35)(30)(40)(75)(55) (35)(30)10 34384808810 So, 625178342 x 55 = 34384808810 Math TrickMath TrickMultiply byMultiply by 11s11s 55s55s 77s77s 99s99s 88s88s
- 6. 934358621 x 77 = … 63(84)(49)(49)(56)(91)(98) (56)(21)7 71945613817 So, 934358621 x 77 = 71945613817 Math TrickMath TrickMultiply byMultiply by 11s11s 55s55s 77s77s 99s99s 88s88s
- 7. 7464153246 x 88 = … 56(88)(80)(80)(40)(48)(64) (40)(48)(80)(48) 656845485648 So, 7464153246 x 88 = 656845485648 Math TrickMath TrickMultiply byMultiply by 11s11s 55s55s 77s77s 99s99s 88s88s
- 8. 62534253722 x 99 = … 54(72)(63)(72)(63)(54)(63) (72)(90)(81)(36)(18) 6190891118478 So, 62534253722 x 99 = 6190891118478 Math TrickMath TrickMultiply byMultiply by 11s11s 55s55s 77s77s 99s99s 88s88s
- 9. Black HoleBlack Hole )(3)(4 343434 )34()34()34( cbacba ccbbaa ccbbaa cba −+=−+ −=−+− −=−+− =+ 34 = 34 = Prove :
- 10. Black HoleBlack Hole 0.30.4 )(3)(4 )2.().........(3)(4 343434 )34()34()34( )1......(.......... = −=− −+=−+ −=−+− −=−+− =+ cccc cbacba ccbbaa ccbbaa cba 34 ≠ Prove : we can’t cancel 0 on the right and the left side because if we cancel it, it means we divide 0 by 0 and the result is undefined.
- 11. THANK YOU