IB Biology markscheme, past exam papers, notes and 2012 IB Biology syllabus. IB Biology option D evolution markscheme. IB Biology option D evolution notes, IB Biology option D Evolution exam papers, IB Biology option E markscheme, IB Biology option E notes, IB Biology option E Neurobiology papers, IB Biology Option A Human Nutrition and Health syllabus 2012, Stimulus and response, Homologous structures, Pavlov experiments.
IB Biology markscheme, past exam papers, notes and 2012 IB Biology syllabus. IB Biology option D evolution markscheme. IB Biology option D evolution notes, IB Biology option D Evolution exam papers, IB Biology option E markscheme, IB Biology option E notes, IB Biology option E Neurobiology papers, IB Biology Option A Human Nutrition and Health syllabus 2012, Stimulus and response, Homologous structures, Pavlov experiments.
Dr. Bruce Damer: Hot Spring Hypothesis of the Origin of Life & Future of Life...Bruce Damer
Dr. Bruce Damer covers the new science of the origin of life (the Hot Spring Hypothesis) and its relationship to our future in space (the expansion of the biosphere into the Solar System). The was presented at the 2018 Bay Area Society for Information Display at the Stanford Golf Course/Club on September 8, 2018.
Presentation is about the "Origin of Life". Many theories being proposed to clearly explains how does Life actually came into existence on our planet Earth.
New articles were published at the end of the 2017 about "chicken-the-egg" question: which organic molecules were the first: nucleotides or amino acids. RNA world is still the predominant theory, but new studies on proteins could change that.
Dr. Bruce Damer: Hot Spring Hypothesis of the Origin of Life & Future of Life...Bruce Damer
Dr. Bruce Damer covers the new science of the origin of life (the Hot Spring Hypothesis) and its relationship to our future in space (the expansion of the biosphere into the Solar System). The was presented at the 2018 Bay Area Society for Information Display at the Stanford Golf Course/Club on September 8, 2018.
Presentation is about the "Origin of Life". Many theories being proposed to clearly explains how does Life actually came into existence on our planet Earth.
New articles were published at the end of the 2017 about "chicken-the-egg" question: which organic molecules were the first: nucleotides or amino acids. RNA world is still the predominant theory, but new studies on proteins could change that.
Origin of life in universe is most debating and interesting topic for all scientist .which divided in 3 parts chemosynthesis theory ,RNA world hypothesis and some evidence about extraterrestrial life.
A prelude to genetics of Mitochondria and Chloroplasts
the theory provides an explanation for the presence and source of organellar genome in eukaryotic cell
Life, living matter are those that shows certain attributes that include responsiveness, growth, metabolism, energy transformation and reproduction.
In biology origin of life or abiogenesis is the natural process by which life has arisen from non-living matter, such as simple organic compounds.
It means the emergence of heritable and evolvable self-reproduction.
It is a complex subject and oftentimes controversial.
Several attempts have been made from time to time to explain the origin of life on earth.
There are several theories which offer their own explanation on the possible mechanism of origin of life.
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
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.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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/
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.
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.
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.
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.
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!
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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.
Epistemic Interaction - tuning interfaces to provide information for AI support
The+Beginnings+Of+Life
1. The Beginning of Life
I. Conditions necessary to allow life
to begin
Earth was a very hostile environment 4 billion years ago
Fig. 20-4b, p.321
1
2. First Atmosphere
• Hydrogen gas
• Nitrogen
• Carbon monoxide
• Carbon dioxide
• No gaseous oxygen
I. Conditions necessary to allow
life to begin
electrodes
to
spark
vacuum CH4 discharge
pump NH3
gases
H2O
H2
water out
condenser
water in
water droplets
water containing
organic compounds
boiling water
liquid water in trap
Fig. 20-4c, p.321
2
3. I. Conditions necessary to allow
life to begin
four formaldehyde
molecules with
four pyrrole rings
chlorophyll a
6H
porphyrin ring
system
Stepped Art
Fig. 20-5, p.322
3
4. Origin of Organic Compounds
• Amino acids, other organic compounds
can form spontaneously under conditions
like those on early Earth
• Clay may have served as template for
complex compounds
• Compounds may have formed near
hydrothermal vents
RNA ‘Ribozyme’ produced in the laboratory
Store biological information and also act as catalyst (enzyme)
Could something like this have been the first source of genetic material?
RNA World
• DNA is genetic material now
• DNA-to-RNA-to-protein system is complicated
• RNA may have been first genetic material
• RNA can assemble spontaneously
• How switch from RNA to DNA might have
occurred is not known
4
5. II. Origin of cells – precursor to
living cells
Proto-Cells
• Microscopic spheres of proteins or lipids
can self assemble
• Tiny sacs like cell membranes can form
under laboratory conditions that simulate
conditions in evaporating tidepools
• Nanobes may resemble proto-cells
Amino acids heated, then moistened.
Formed protein membranes.
5
6. II. Origin of cells – precursor to
living cells
Membrane of fatty acids and alcohol surrounding
RNA-coated clay .
Fig. 20-7b, p.323
II. Origin of cells – precursor to
living cells
6
7. Could precursors and /or proto-cells have arrived from outer space?
BBC News
Monday, 29 January, 2001
Scientists have managed to
create quot;primitive cellsquot; in an
experiment which may indicate
that life began in space and was
delivered to Earth.
Researchers working with the American
space agency NASA say their quot;proto-cellsquot;
mimic the membranous structures found
in all living things. They were produced in
a laboratory experiment that duplicated
the harsh conditions of cold interstellar
space.
This new work suggests that the early chemical steps believed to be important
for the origin of life do not require an already-formed planet.
Instead, they seem to take place in deep space long before planet formation
occurs.
This implies that the vastness of space is filled with chemical compounds which,
if they land in a hospitable environment like our Earth, can readily jump-start life.
living
membrane-bound proto-cells
cells
self-replicating system enclosed in a
selectively permeable, protective lipid sphere
enzymes and
DNA RNA
other proteins
formation of formation of
protein-RNA systems, lipid spheres
evolution of DNA
spontaneous formation of lipids,
carbohydrates, amino acids, proteins,
nucleotides under abiotic conditions
7
8. III. The first true cells
3.5 billion y –old
prokaryote
Anaerobic or aerobic?
Fig. 20-8a, p.324
The First Cells
• Originated in Archeon Eon
• Were prokaryotic heterotrophs
• Secured energy through anaerobic
pathways
– No oxygen present
– Relied on glycolysis and fermentation
8
9. Stromatolites – fossils of cyanobacteria; 3by-old
Proterozoic Eon
• Origin of photosynthetic Eubacteria
– Cyclic pathway first
– Noncyclic pathway next (cyanobacteria)
• Oxygen accumulates in atmosphere
• Origin of aerobic respiration
Eukaryotes
2.1 bya
Fig. 20-8b, p.324
9
10. IV. Where did eukaryotic organelles come from?
The evolution of the eukaryotic cell
Where did all these organelles come from?
IV. Where did eukaryotic organelles come from?
The evolution of the eukaryotic cell
10
11. DNA
ER ?
infolding of plasma membrane
Fig. 20-10a, p.326
Possible origin of nucleus
IV. Where did eukaryotic organelles come from?
The evolution of the eukaryotic cell
Origin of mitochondria and chloroplasts
11
12. Evidence
Endosymbiosis example in modern time
Amoeboid organism with green alga within
Occurred by phagocytosis
Evidence
photosynthetic organelle that
resembles a cyanobacterium
mitochondrion
nucleus
Theory of Endosymbiosis
• Lynn Margulis
• Mitochondria and chloroplasts are the
descendents of free-living prokaryotic
organisms
• Prokaryotes were engulfed by early
eukaryotes and became permanent
internal symbionts
12
13. V. The timeline of development
hydrogen-rich anaerobic atmosphere atmospheric oxygen, 10%
archaean
lineage
d
ancestors of h
eukaryotes endomembrane
system and nucleus
noncyclic pathway
of photosynthesis
cyclic pathway f
of photosynthesis
e
b
a
origin of g aerobic respiration
prokaryotes
3.8 billion 3.2 billion 2.5 billion
years ago years ago years ago
atmospheric oxygen, 20%; the ozone layer slowly develops
k origin of animals
j
k origin of fungi
origin of eukaryotes,
the first protists
i
endosymbiotic origin
k origin of lineage
of mitochondira
j leading to plants
endosymbiotic origin
of chloroplasts
Aerobic species becomes endosymbiot of
anaerobic forerunner of eukaryotes.
1.2 billion 900 million 435 million
years ago years ago years ago
Fig. 20-12b, p.328
13