The document summarizes key information about cells:
1. Cells are the basic structural and functional units that make up all living things. All cells come from pre-existing cells through cell division.
2. Important early discoveries in cell biology include Anton van Leeuwenhoek discovering single-celled organisms under a microscope in 1673 and Robert Hooke observing "cells" in cork in 1665.
3. The cell theory, developed in the 1800s by scientists like Schleiden, Schwann, and Virchow, established that all living things are made of cells, cells are the basic units of structure and function, and all cells come from pre-existing cells.
Edexcell Biology;
Most year 10 & 11 syllabus points by ppt.
Used in lessons to scaffold class teaching and as a revision resource for students
These resources are from many sources
Edexcell Biology;
Most year 10 & 11 syllabus points by ppt.
Used in lessons to scaffold class teaching and as a revision resource for students
These resources are from many sources
Early Discoveries of Cells thru TimelineKiel Lorrence
Early Discoveries of Cells thru Timeline
presented by Teacher Kiel Lorrence Garcia
Note the following information and perform the necessary tasks such as reading assigns and homework activity that are due next week September 4 to 9, 2011
Slide 1: Title Slide
Title: "Understanding Cells: The Building Blocks of Life"
Subtitle: An Introduction to Cellular Biology
Your Name
Date
Slide 2: Introduction to Cells
Define a cell as the basic structural and functional unit of all living organisms.
Emphasize the role of cells as the smallest entities that can perform all necessary life functions.
Slide 3: Types of Cells
Introduce the concept of different cell types (e.g., prokaryotic and eukaryotic cells).
Explain the distinction between plant, animal, and bacterial cells.
Slide 4: Common Cell Structures
Present a simplified diagram of a generic eukaryotic cell.
Highlight key components: cell membrane, nucleus, cytoplasm, and organelles.
Slide 5: Cell Membrane
Describe the cell membrane's structure as a phospholipid bilayer.
Explain its role as a semi-permeable barrier that controls the passage of substances in and out of the cell.
Slide 6: The Nucleus
Discuss the nucleus as the control center of the cell.
Mention the role of DNA in the nucleus as the genetic blueprint for the cell.
Slide 7: Cytoplasm and Cytoskeleton
Define cytoplasm as the gel-like substance filling the cell.
Introduce the cytoskeleton and its function in maintaining cell shape and facilitating movement.
Slide 8: Organelles: The Cell's Organs
Briefly introduce key organelles found in eukaryotic cells:
Mitochondria (energy production)
Endoplasmic reticulum (ER)
Golgi apparatus (protein processing)
Lysosomes (waste disposal)
Ribosomes (protein synthesis)
Slide 9: Mitochondria and Energy Production
Focus on mitochondria as the cell's powerhouses.
Explain how they generate energy (ATP) through cellular respiration.
Slide 10: Endoplasmic Reticulum and Protein Synthesis
Describe the ER's role in protein synthesis and lipid metabolism.
Distinguish between rough ER and smooth ER.
Slide 11: Golgi Apparatus and Protein Processing
Explain the Golgi apparatus's function in modifying, sorting, and packaging proteins.
Slide 12: Lysosomes and Cellular Cleanup
Discuss lysosomes as cellular cleanup crews, breaking down waste materials and cellular debris.
Slide 13: Ribosomes and Protein Production
Describe ribosomes as the sites of protein synthesis.
Mention their presence in the cytoplasm and on the rough ER.
Slide 14: Cellular Functions
Summarize how these organelles collaborate to maintain cell functions and homeostasis.
Mention cell division as a fundamental process.
Slide 15: Conclusion
Recap the significance of cells as the building blocks of life.
Encourage further exploration of cell biology and its importance in understanding living organisms.
This presentation provides a broad overview of cells, their structure, and the functions of key organelles within them. Depending on your audience and the level of detail required, you can expand on specific topics or explore specialized cell types (e.g., plant cells, nerve cells) in more depth.
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.
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.
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/
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.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
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
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
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.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
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
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.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
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.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
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:
3. Cell is the smallest unit of life,
the smallest structure that is classified as a
living thing,
and is often called the building block of life
- but I dont think this description is clear enough-
4. The cell is the basic structural and functional unit
of an organism
What does it mean?
All living things are
made up of one or more
cells.
All living cells come from
pre-existing cells by
division.
The activity of an organism
depends on
the total activity of individual cells.
All cells are basically the same in chemical composition
in organisms of similar species.
5. Anton van Leuwenhoek
1673 - Anton van Leuwenhoek used a
handmade microscope to observe
pond water & discovered
single-celled organisms
He called them “animalcules”
He also observed blood cells from fish, birds, frogs, dogs,
and humans
Therefore, it was known that cells are
found in animals as well as plants
7. Discovery of Cells – Robert Hooke
1665 – English scientist, Robert Hooke,
discovered cells when he was looking
through one of the first microscopes
Looked at a thin slice of cork and
described what he saw as “tiny boxes or
honeycombs”
Named the boxes “cells” as they reminded
him of the cells in monasteries
Thought cells only existed in plants
8. Development of Cell Theory – 1800’s
1833 – Robert Brown
Observed the nucleus in the epidermis of an orchid
9. Schleiden and Schwann
1838 - Matthias Schleiden, a German
professor of botany, identified the first
plant cells and concluded that all parts
of a plant is made of cells
1839 – Theodor Schwann, a German
zoologist and a close friend of
Schleiden, stated that all animal
tissues are composed of cells.
10. Rudolf
Virchow
1855 – Rudolf Virchow, German
doctor
Proved that cells come from other
cells, not from non-living matter
“Omnis cellula e cellula”
11. The Complete Cell Theory
Putting it all together:
The 3 Basic Components of the Cell Theory were now
complete:
1. All living things are composed of one or more cells. (Schleiden &
Schwann, 1838-39)
2. The cell is the basic unit of structure and function in all living
things (Schleiden & Schwann, 1838-39)
3. All cells come from preexisting cells (Virchow, 1858)
12. ¿Por qué las células suelen ser pequeñas?
El cubo de 4 cm de arista,
los ocho cubos de 2 cm de
arista y los 64 cubos de 1
cm de arista tienen todos
el mismo volumen. Pero al
dividir el volumen en
porciones, la superficie
total aumenta.
Al ser las células pequeñas
tienen mayor superficie
(aumentando la eficacia de
entrada y salida de
materiales).
13.
14.
15. Cells have lots of
different functions but
they are often
specialised to do a
particular job.
For this reason each
type of cell has
special characteristics
that make it well
adapted at carrying
out its functions.
16.
17.
18. We are going to study in detail just
a few of the organelles in animal cells:
* mitochondria
* nucleus and DNA
* ribosomes
* ER + Golgi apparatus
21. 1.- MONOSACÁRIDOS
glucosa, fructosa y galactosa
No requieren digestión pues son pequeñas moléculas.
De fórmula C6H12O6
PO
S
LI
A
CÁ
S
O
D
RI
as simbolizaremos como
3.
Se disuelven en agua y tienen sabor dulce
GLÚCIDOS:
estructura
2.- DISACÁRIDOS
sacarosa y lactosa, uniones de dos monosacáridos
Requieren digestión hasta monosacáridos para poder entrar en las célul
Se disuelven en agua y tienen sabor dulce.
Las simbolizaremos como
22. Respiración
celular
+
+ Energía
La ecuación anterior
solo tiene sentido...
considerando el resultado aprovechable
por los seres vivos cuando realizan el proceso:
LA ENERGÍA
23. Nucleus role: containing DNA
DNA carries the information for making
all of the cell's proteins.
Ribosome role: producing proteins.
These proteins perform all of the functions
of a living organism
24. Deoxyribonucleic acid
(DNA) is the master
molecule of every cell.
It control the making
of other molecules
(proteins)
Although it may look
complicated, the DNA in a
cell is just a sequence
made up of four different
parts called nucleotides.
Imagine a set of blocks
that has only four shapes,
or an alphabet that has
only four letters. DNA is a
long string of these blocks
or letters.
25. DNA carries the information for making all of the
cell's proteins.
These proteins carry out all of the functions of a living
organism
When the cell reproduces, it has to pass all of this information
-copy of DNA- to the daughter cells.
In DNA, each protein is encoded by a gene (a specific
sequence of DNA) that determines the order of amino acids
that must be put together to make a protein.
26. A protein is made of a long chain of chemicals called
amino acids
Depending on the sequence of amino acids,
trillions different proteins
20 types of amino acids in organisms
protein
27. Proteins have many functions:
Enzymes that speed up chemical reactions (such as digestive enzymes)
Structural proteins that are building materials (such as collagen and nail keratin)
Transporting proteins that carry substances (such as oxygen-carrying haemoglobin in blood)
Contraction proteins that cause muscles to compress (such as actin and myosin)
Hormones - chemical messengers between cells (including insulin, growth hormone etcetera)
Protective proteins - antibodies of the immune system, clotting -coagulantes- proteins in blood
The particular sequence of amino acids in the protein chain is
what makes one protein different from another. This sequence
is encoded in the DNA where one gene encodes -CODIFICAfor one protein.
28. The particular sequence of amino acids in the chain is what
makes one protein different from another. This sequence is
encoded in the DNA where one gene encodes for one protein.
29. (2)
Growing protein:
two amin oacids so far -hasta ahora: M-R
(1)
Ribosome
making a new protein.
A ribosome is made up of two round parts,
the smaller subunit and the bigger subunit
Instructions in DNA
(3)
The third amino acid is about to
join the two previous amino acids