This document provides an overview of the history and development of atomic theory from Dalton's model to the modern electron cloud model. It discusses key scientists and experiments that led to important discoveries, such as Thomson discovering electrons, Rutherford determining the structure of the nucleus, and Bohr proposing electron energy levels. The document also defines important atomic concepts like atomic number, mass number, isotopes, and how elements are distinguished by their number of protons.
Hello Friends,
I have made this PPT especially for 10th Standard students of Maharashtra State Board (SSC). This PPT is made highly informative and illustrative, so that each and everyone of you can understand the basics of Science.
Best of Luck!
An entry in the 'schools for you' project. By Aneesh Bapat, class 8 from Abhinav Vidyalaya English Medium High School, Pune, India.About the various theories by different scientists about the structure of the atom.
Hello Friends,
I have made this PPT especially for 10th Standard students of Maharashtra State Board (SSC). This PPT is made highly informative and illustrative, so that each and everyone of you can understand the basics of Science.
Best of Luck!
An entry in the 'schools for you' project. By Aneesh Bapat, class 8 from Abhinav Vidyalaya English Medium High School, Pune, India.About the various theories by different scientists about the structure of the atom.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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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.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
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Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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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.
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
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Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
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Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
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- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
2. History of Atom
All atoms share the same basic structure
During past 200 years, scientists have proposed
different models.
An atom is the smallest particle of an element.
Atomic theory grew as a series of models that
developed from experimental evidence. As more
evidence was collected, the theory and models were
revised.
3. Dalton’s Model
Based on experiments, Dalton developed a theory
of structure of matter
4 main concepts:
All matter is composed of tiny, indivisible particles called
atoms
Atoms of each element are exactly alike
Atoms of different elements have different masses
Atoms of different elements can join to form compounds
5. Thomson’s Model
End of 1800s
Thomson discovered that atoms were not
simple, solid spheres
Atoms contained subatomic particles
Very small, negatively charged
Called them electrons
6. Discovery of the Electron
In 1897, J.J. Thomson used a cathode ray
tube to deduce the presence of a negatively
charged particle: the electron
7. Modern Cathode Ray Tubes
Television Computer Monitor
Cathode ray tubes pass electricity
through a gas that is contained at a
very low pressure.
8. Thomson’s Model
Also knew that atoms were electrically neutral
Must contain enough positive charge to balance negative
charge of electrons
Developed model where electrons were stuck into a
positively charged sphere
Like chocolate chips in cookie dough
10. Rutherford’s Model
By early 1900s, scientists knew that positive charge
of atom comes from subatomic particles called
protons
A proton is a positive charged particle in the
nucleus of an atom.
1911—Rutherford begins to test theory
His experiments led him to believe that protons are
concentrated in a small area at center of atom
Called this area the nucleus
11. Rutherford’s Model
Rutherford’s model describes an atom as mostly
empty space, with a center nucleus that contains
nearly all the mass
Like the pit in a peach
12. Bohr’s Model
Modified Rutherford’s model in 1913
Proposed that each electron has a certain amount of
energy
Helped electron move around nucleus
Electrons move around nucleus in region called
energy levels
The energy level is the specific amount of energy
an electron has.
Energy levels surround nucleus in rings, like layers of
onion
13. Bohr’s Model
Has been called planetary model
Energy levels occupied by electrons are like orbits of planets at
different distances from the sun (nucleus)
14. Electron Cloud Model
Model accepted today
Electrons dart around in an energy level
Rapid, random motion creates a “cloud” of negative
charge around nucleus
Electron cloud gives atom its size and shape
16. Findings
Eugen Goldstein in 1886 observed
what is now called the “proton” -
particles with a positive charge, and
a relative mass of 1 (or 1840 times
that of an electron)
1932 – James Chadwick confirmed
the existence of the “neutron” – a
particle with no charge, but a mass
nearly equal to a proton
17. Atomic Number
Atoms are composed of identical
protons, neutrons, and electrons
How then are atoms of one element different
from another element?
Elements are different because they
contain different numbers of PROTONS
The “atomic number” of an element is
the number of protons in the nucleus
# protons in an atom = # electrons
18. Atomic Number
Atomic number (Z) of an element is
the number of protons in the nucleus
of each atom of that element.
Element # of protons Atomic # (Z)
Carbon 6 6
Phosphorus 15 15
Gold 79 79
19. Mass Number
Mass number is the number of
protons and neutrons in the nucleus
of an isotope: Mass # = p+ + n0
Nuclide p+ n0 e- Mass #
Oxygen - 18 8 10 8 18
Arsenic - 75 33 42 33 75
Phosphorus - 31 15 16 15 31
20. The Complete Set-UP
Contain the symbol of the
element, the mass number and the
atomic number.
Superscript →
Mass
number
Subscript →
Atomic
number
X
21. Isotopes
Dalton was wrong about all
elements of the same type being
identical
Atoms of the same element can
have different numbers of
neutrons.
Thus, different mass numbers.
These are called isotopes.
22. Isotopes
Frederick Soddy (1877-1956)
proposed the idea of isotopes in
1912
Isotopes are atoms of the same element having
different masses, due to varying numbers of
neutrons.
Soddy won the Nobel Prize in Chemistry
in 1921 for his work with isotopes and
radioactive materials.
23. Naming Isotopes
We can also put the mass
number after the name of the
element:
carbon-12
carbon-14
uranium-235
24. Isotopes are atoms of the same element having
different masses, due to varying numbers of
neutrons.
Isotope Protons Electrons Neutrons Nucleus
Hydrogen–1
(protium) 1 1 0
Hydrogen-2
(deuterium) 1 1 1
Hydrogen-3 1 1 2
(tritium)