Introduction to the structure of atoms from the view of a chemist - what are neutrons protons and electrons and how are they organized ? How are electrons organized - in 3 quantum numbers. Experimental evidence from the Bohr model.
Introduction to the structure of atoms from the view of a chemist - what are neutrons protons and electrons and how are they organized ? How are electrons organized - in 3 quantum numbers. Experimental evidence from the Bohr model.
This pdf is written to describe structure of atom for school students of grades 9 to 10. In this the basics of atomic structure has been described. Starting from Dalton's atomic model to Rutherford's scatering of alpha particles, JJ Thomson and Bohr's models with photos.
Students can download and use it for studying atomic structure.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
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.
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/
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
3. Early ideas about atoms
Democritus (~ 400 BC) proposed
that matter was composed of
indivisible particles he called
“atomos”.
This idea was largely ignored until
John Dalton (1766-1844) proposed
his atomic theory as a model for
matter
While this theory was not completely
correct, it revolutionized how
chemists looked at matter and
brought about chemistry as we
know it today instead of alchemy
4. Dalton’s Atomic Theory - Summary
1. matter is composed, indivisible
particles (atoms)
2. all atoms of a particular element
are identical
3. different elements have different
atoms
4. atoms combine in certain whole-
number ratios
5. In a chemical reaction, atoms are
merely rearranged to form new
compounds; they are not
created, destroyed, or changed
into atoms of any other
elements.
5. Dalton’s theory states
1. matter is composed of
indivisible particles called
atoms. (Dalton visualized
atoms as dense spheres –
not unlike billiard balls)
However, the discovery of
the electron by J.J. Thomson
in the late 1800’s introduced
the idea that there might be
something smaller than
atoms.
6. To include
electrons, scientists had
to modify the Dalton
atomic model. The new
vision was a positive
sphere that had the
newly discovered
negative electrons
embedded in it. This was
called the plum
pudding model.
7. In the early 1900’s, Ernest Rutherford tested
the plum pudding model with his famous
gold foil experiment.
a
More great info @
http://www.mhhe.com/physsci/chemistry/essentialchemistry/flash/ruther14.swf
8. Predicted results of
gold foil experiment if
the Plum Pudding
model had been
correct.
This is NOT what was
observed.
9. What was observed?
To explain the results, Rutherford
proposed a new model that
included a positive center for the
atom called the nucleus.
10. Adding the evidence from emission spectra
Colored lights do not emit all the wavelengths of the visible
light spectrum. For example, a red light emits mostly
wavelengths from the red end of the spectrum.
An energized gas sample will emit light of specific
wavelengths characteristic of the gas. This is called a line
spectrum
13. The Bohr model of the atom
• developed using information from hydrogen
emission spectrum studies.
• a central dense positive
nucleus composed of protons
and neutrons.
• negative electrons orbit the
nucleus like planets around
the Sun (but not flat like the
solar system)
• mostly empty space. Nucleus
is 10-5 times smaller than
atom.
14. Orbiting electrons occupy discrete energy levels!
Electrons can only “jump” between energy levels if
they absorb or emit a specific amount of energy.
Atoms have quantized energy states!
15. The line spectrum of hydrogen as a direct result
of energized electrons releasing a specific
amount of energy by emitting a photon of light
of a certain wavelength.
The different lines in the hydrogen spectrum
where evidence for a number of different energy
levels.
16. lower energy higher energy
longer wavelength shorter wavelength
Visible spectrum
for
hydrogen atom
convergence
17. Limitations of the Rutherford Bohr
Nuclear Model
Why do electrons orbit the nucleus? i.e. model does
not explain why the electrons orbit rather than spiral
towards the nucleus.
Why is there one mass of positive charge in the
nucleus? i.e. or if there are multiple positive particles
why does the nucleus not fly apart?
18. Part 2 Atomic Structure – The Basics
Nuclide A specific atomic structure as determined
by the number of protons and neutrons in
the nucleus
Nucleon A nuclear particle (protons and neutrons)
Mass The total number of nucleons (protons +
Number neutrons)
(A)
Atomic The number of protons in the nucleus
Number (Z)
Isotope Two atoms of the same element (same Z)
but with different masses (A). The mass
difference between isotopes is due to
varying numbers of neutrons.
19. Atomic Notation
Show the name of the element, and the mass
number in hyphen notation
sodium-23
Show the mass number and atomic number in A-Z
notation (atomic number often omitted)
mass number A 23
atomic number Z 11
Na