Ecology is the scientific study of interactions between organisms and their environments, focusing on energy transfer. The environment consists of biotic factors like other living organisms and abiotic factors like temperature, soil, sunlight, and water. Together biotic and abiotic factors define an organism's habitat and niche, where its niche represents its ecological role. Climate and weather patterns are influenced by factors like the Earth's rotation and tilt, which help define global patterns of biomes and influence local ecosystems.
An ecosystem is a community of living organisms in conjunction with the nonliving components of their environment (things like air, water and mineral soil), interacting as a system.)
In this presentation, climatic factors like light, temperature and water are explained. Along with this their importance and their effect on plant life is also explained
CSEC Geography- Vegetation and Soils. This document defines an ecosystem and describes the major components of an ecosystem. It also looks on the two major biomes, tropical rainforest and tropical marine.
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
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.
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
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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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.
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.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
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This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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/
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Ecology part 1
1.
2.
3. Ecology- the scientific study of
interactions between organisms
and their environments,
focusing on energy transfer
It is a science of
relationships.
4. Definition:
All external conditions and factors (living and
nonliving) that affect an organism or other specified
system during its lifetime
5. The environment is made up of two factors:
Biotic factors- all living organisms inhabiting the Earth
ex. How organisms interact/effect each other
Abiotic factors- nonliving parts of the environment
temperature
Soil
Sunlight
water/moisture
air currents/wind
Severe disturbances
6. Temperature 0-50oC is the narrow range of temperatures
that can support life
Too hot: above 50…important enzymes DENATURE
Too cold: metabolism slows down…what is metabolism? (review notes from
beginning of year!)
Set of chemical reactions that help break down and build up molecules to
get energy for life
Organisms have made adaptations to extreme environments
Prokaryotes in deep sea vents (extreme heat)
Prokaryotes in frigid arctic waters (extreme cold)
7. Product of abiotic forces (ice, rain, and wind) and
biotic forces (microorganisms, plants, and
earthworms) on rocks and minerals of Earth‟s crust
Effects plants that grow in areas
Dry, nutrient poor soil dominated by blue stem
grasses with long roots to obtain scarce moisture in
soil and narrow leaves that prevent excessive water
loss
Soil/sand in aquatic environments also impacts
ecosystem
Soil can be acidic or basic, nutrient rich or nutrient
poor
This influences plants that grow in area, which
influence organisms that live there
8. Energy source for ALL
organisms (except
chemosynthetic organisms)
Terrestrial and aquatic
Penetrates top 200 m of
the surface…affects algae
Forests
trees prevent sunlight from
reaching the
bottom…varying amounts of
sunlight creates
microhabitats…what does
that mean?
Habitat with conditions
different from the larger
surrounding environment
PHOTOSYNTHESIS
9. Dissolves gasses
Universal solvent
Organisms make adaptations to prevent water
loss (needles instead of leaves on trees and a
waxy cuticle)
10. Affects distribution
Moves clouds which carry precipitation
Stirs up water which mixes up the nutrients in
lakes and streams
Spreads pollen and seeds of plants
11. Fires, hurricanes, droughts.
Floods and volcanic eruptions
Some occur frequently and
organisms have made evolutionary
adaptations (prairie grasses)
Some are infrequent (volcanic
eruptions) and organisms have no
voluntary adaptations
13. Organism- any unicellular or
multicellular form exhibiting all of the
characteristics of life, an individual.
•The lowest level of organization
14. Population-a group of organisms of
one species living in the same place
at the same time that interbreed
and compete with each other for
resources (ex. food, mates, shelter)
16. Ecosystem- populations in a
community and the abiotic factors
with which they interact (ex.
marine, terrestrial)
17. Biosphere- life supporting portions
of Earth composed of air, land,
fresh water, and salt water.
•The highest level of organization
18. “The ecological niche of an
organism depends not only on
where it lives but also on what
it does. By analogy, it may be
said that the habitat is the
organism's „address‟, and the
niche is its „profession‟,
biologically speaking.”
Odum - Fundamentals of Ecology
19. Habitat vs. Niche
Niche - the role a species plays in
a community (job)
Habitat- the place in which an
organism lives out its life
(address)
20. Habitat vs. Niche
A niche is determined by the
tolerance limitations of an
organism, or a limiting factor.
Limiting factor- any biotic or
abiotic factor that restricts the
existence of organisms in a
specific environment.
22. Earth rotates on an axis (23.5’)
So sunlight hits Earth at different angles
Creates Climate Zones
Tropics
Region between Tropic of Cancer (23.5’N) and
Tropic of Capricorn (23.5’S)
Most direct sunlight
Temperate Zones
Latitudes between the Tropics and the Polar Zones
Seasonal changes; no extreme heat or cold
Polar Zones
Region north of the Arctic Circle (66.5’N) and South
of the Antarctic Circle (66.5’S)
Least amount of direct sunlight
These climate zones are important and create BIOMES
23.
24.
25. Our planet's rotation produces a force on all bodies
moving relative to the Earth
Due to Earth's approximately spherical shape, this
force is greatest at the poles and least at the
Equator.
"Coriolis effect” the force that causes the direction
of winds and ocean currents to be deflected
Northern Hemisphere wind and currents deflected
toward the right
Southern Hemisphere wind and currents
deflected to the left.
26. Weather
Day-to-day conditions of Earth's atmosphere
precipitation, humidity, temperature, etc.
Changes every day
Climate
The average, year-after-year, conditions (temperature and precipitation) that prevail in a specific
region
Microclimate
Climate in a specific area that varies from the surrounding climate region
Ex. The burrow of a Kangaroo rat in the New Mexico desert (dark and cool)