class XI Book Snapshot
Chapter 4 Albert Einstein At School
N.B : This is for reference only. Students are advised not to copy, but to take ideas and do the work in their own style-it builds your imagination.
In this lesson, we shall learn about Albert Einstein's terrible five years which he considered wasted at school in Munich. Here we shall learn how did he manage to leave the school due to which he achieved his goals and we know him as genius today.
Einstein failed school but was truly a genius who changed the very foundations of physics.
Einstein’s four ground-breaking research papers pertaining to the Photoelectric effect, Brownian motion , special theory of relativity and E=mc2 were published in the Annalen der Physik scientific journal during 1905,the miracle year of his life.
Nobel Prize winner Albert Einstein is one of the most influential and well-known physicist in history. Learn more about his life and work in this mini biography.
class XI Book Snapshot
Chapter 4 Albert Einstein At School
N.B : This is for reference only. Students are advised not to copy, but to take ideas and do the work in their own style-it builds your imagination.
In this lesson, we shall learn about Albert Einstein's terrible five years which he considered wasted at school in Munich. Here we shall learn how did he manage to leave the school due to which he achieved his goals and we know him as genius today.
Einstein failed school but was truly a genius who changed the very foundations of physics.
Einstein’s four ground-breaking research papers pertaining to the Photoelectric effect, Brownian motion , special theory of relativity and E=mc2 were published in the Annalen der Physik scientific journal during 1905,the miracle year of his life.
Nobel Prize winner Albert Einstein is one of the most influential and well-known physicist in history. Learn more about his life and work in this mini biography.
Albert’s class was on the history teacher Mr. Braun asked Albert if the Prussians defeated the French to Waterloo. Albert told him that he didn’t know and he must have forgotten. This irritated the teacher. He asked Albert, why? Albert replied that he didn’t see a point in learning dates. One could learn about them from books. Ideas are more important than facts and figures. The teacher attributed to Albert that he didn’t believe in education. He talked in a sarcastic manner. Albert told him that education should be about ideas and not facts. The teacher said that Albert was a disgrace to be there Albert felt miserable when he left the school that afternoon.
He didn’t like this school. He would have to come to it again. He lived in a small room. It was one of the poorest quarters of Munich. The landlady beat her children regularly. Her husband came every Saturday and drank in the evening. He then beat her. He didn’t like the children’s crying every time. He told these things to Yuri. He hated the atmosphere of slum violence. Next time his cousin [elsa] came to Munich. She told Albert that if he tried he could pass the examination. There were more stupid boys than him. Moreover, passing the examination was not difficult. It was simply just to be able to repeat in the examination that Elsa that he was not good at learning things by heart. He liked music as it gave him comfort. Albert didn’t like to remain in school. He met Yuri after six months. He had an idea. He told Yuri that if he had a medical certificate that he suffered from a nervous breakdown, he could get rid of school. He asked Yuri if he had a doctor friend. Yuri told him that he had in Dr. Ernest Weil. However, Yuri told him not to deceive him. He must be frank with him. When Albert visited Dr. Ernest Weil he had really come near a nervous breakdown. Dr. Ernest issued him the certificate. His fees were that he should serve Yuri with a meal. Albert told Dr. Ernest about his future plans.
He would go to Milan. He hoped to get admission into an Italian college or institute. It was possible from the comments of the Mathematics teacher, Mr. Koch. Yuri told him to get a reference in writing from the Mathematics teacher before going to the head teacher. Mr. Koch, the mathematics teacher encouraged him.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
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.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
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.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
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:
2. Greatest Accomplishment!!!
The Royal Academy of Sciences has awarded the Nobel Prize
for Physics, for the year 1911, to Wilhelm Wien, Professor at
the University of Würzburg, for his discoveries concerning the
laws of heat radiation.
Quote
“... being of an independent spirit, he found the lavish life of
the student societies distasteful and left the university after
only one semester to travel through the Rhineland and
Thüringen.”
3. He was German.
Son of the landowner Carl Wien, and seemed destined
for the life of a gentleman farmer.
In 1898 he married Luise Mehler.
They had four children.
4. EDUCATION!!!
• Wien went to school in 1879 first at Rastenburg. In 1880
till 1882, he went to the City School at Heidelberg. After
leaving school he went to the University of Göttingen to
study mathematics and the natural sciences and in the
same year also to the University of Berlin. From 1883
until 1885 he worked in the laboratory of Hermann von
Helmholtz and in 1886 he took his doctorate with a thesis
on his experiments on the diffraction of light on sections
of metals and on the influence of materials on the colour
of refracted light.
5. In 1893 he announced the law which states that
the wavelength changes with the temperature, a
law which later became the law of displacement.
In this, and other, respects Wien's work
contributed to the transition from Newtonian to
quantum physics. As Max von Laue wrote of
him, his "immortal glory" was that "he led us to
the very gates of quantum physics