This document discusses population dynamics and genetics. It covers several key topics:
1. Populations are limited by resources and competition. Their size, age structure, and density change in response to the environment. Some species have a greater impact on biodiversity than others.
2. Population distribution can be clumped, uniform, or random. Clumping provides access to resources and protection. Uniform distribution spaces organisms out to access resources.
3. Population size is determined by birth and death rates as well as immigration and emigration. Species have different biotic potentials and intrinsic growth rates depending on their life histories.
4. Genetic diversity and minimum viable population size impact the long-term survival of populations.
Genetics 101: Genetic Differentiation in the Age of Ecological Restorationnycparksnmd
Dr Susan Mazer, University of California, Santa Barbara
Symposium:
What is Local? Genetics & Plant Selection in the Urban Context. (Tuesday, May 23, 2006, American Museum of Natural History)
Genetics 101: Genetic Differentiation in the Age of Ecological Restorationnycparksnmd
Dr Susan Mazer, University of California, Santa Barbara
Symposium:
What is Local? Genetics & Plant Selection in the Urban Context. (Tuesday, May 23, 2006, American Museum of Natural History)
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.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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.
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.
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/
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
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.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...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.
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:
- Reduction in onboarding time from 5 weeks to 1 day
- 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
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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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.
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.
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. Big Idea #2
Populations cannot grow indefinitely
because resource are limited and there is
competition for those resources
4. Population Dynamics
The study of how
Distribution
Age structure
Population Size
Population Density
These things change in response to
changes in the environment
5. Some species count more than others
Changes in the growth rate of
Invasive species
Keystone species
Ecosystem engineers
Has a greater impact on the biodiversity
of an area than other species
7. Population Dynamics
For example:
How disease affects a population
How the introduction of a nonnative species affects a
population
How the presence of chemicals like pesticides affect
populations
Studying these things helps us identify keystone
species
10. Why clump?
1. Cluster where there are resources
2. More likely to find resources if they
work together
3. Protection from predators
4. Teamwork to catch prey
5. Mating group and/or help raising
young
11. Uniform
Especially in plants
Secrete chemicals that prevent others
from growing nearby
Increases chances of getting the water and
soil nutrients it needs
16. Biotic Potential
A population’s capacity for growth
under ideal conditions
General rule of thumb:
Big things have low biotic potential
Little things have high biotic potential
Blue whale &
calf
ants
E. O. Wilson
studied ants
mostly
Give an example of an
organism with low biotic
potential and an organism
with high biotic potential
17. Intrinsic Rate of Increase (r)
The rate at which a population
would grow if it had unlimited
resource
Species with high “r” usually:
Reproduce early in life
Have short generations
Can reproduce often
Have lots of offspring each time
So what’s the difference between biotic potential and
intrinsic rate of increase?
19. Reproductive Strategies
K-selected species
Low biotic potential
Few offspring
Lots of parental care
Usually competitive species
22 mo. Gestation, 522 mo. Gestation, 5
years between birthsyears between births
9 mo. Gestation,9 mo. Gestation,
8 years between8 years between
birthsbirths
21. Species can’t keep growing and
growing…
There are limiting factors that prevent
this
Competition for resources
Predators
Disease
22. How do you feel about what you
are learning?
A. Happy
B. Frustrated
C. Suspicious
D. Love-struck
E. Confused
F. Overwhelmed
G. Other? _________________
Check all that apply
28. Environmental Resistance
The combination of all the factors that limit the
growth of a population
Together these factors determine the carrying
capacity (K) of the population
The maximum number of a species that can survive in a
given area
The combination of all the factors that limit the
growth of a population
Together these factors determine the carrying
capacity (K) of the population
The maximum number of a species that can survive in a
given area
32. Genetic Diversity
Difference in genes among
members of a population
A very important factor in
the long term health and
survival of a population
33. The Founder Effect
Founder Effect - a small
group of individuals
becomes separated from
the larger population.
They may have less
genetic diversity than the
larger population
34. The Bottleneck Effect
When only a small
group survives some
change in the
environment
Lack of variation
means less
adaptability
Humans sometimes
create bottlenecks in
other species
35. Small populations may experience
genetic drift
Fluctuations in gene frequencies in a
small population from one generation
to the next
The smaller the size of the population,
the more likely there is to be a major
shift in allele frequencies
36. Example
If I flip a penny 100 times, how
many heads should I get?
If I flip a penny 10 times,
would it seem really weird that
I got 7 heads and only 3 tails?
Why not?
38. Minimum viable population
The minimum number of individuals
needed to maintain a species for the
long term (so no inbreeding!)
39. How do you feel about your knowledge
of genetics and population dynamics at
this point?
How do you feel about your knowledge
of genetics and population dynamics at
this point?
0 – not even with prompting can I
explain this topic
1 – with some prompting I could explain
some of it
2 - I get the basics
3 – I understand it beyond just basic info
without help
4 – I can apply what I know to a test
question
0 – not even with prompting can I
explain this topic
1 – with some prompting I could explain
some of it
2 - I get the basics
3 – I understand it beyond just basic info
without help
4 – I can apply what I know to a test
question
44. LE 52-18
1960
Year
Moosepopulationsize
2,500
Steady decline probably
caused largely by wolf
predation
2,000
1,500
1,000
500
0
1970 1980 1990 2000
Dramatic collapse caused by severe
winter weather and food shortage,
leading to starvation of more than
75% of the population
Irregular
50. Quick Think
What are the pros and cons of:
Rapid population growth?
No population growth?
Declining population?
Economic
Social
Environmental
51. Choose 1:
Would you rather…
Sleep in a bed of rats.
Catch a porcupine thrown from a 2nd
story
window.
Be sprayed by a skunk.
Let a rattle snake slither across your body.
Let bumble bees cover you from head to feet.
Let a tarantula walk across your face.
Give a speech to the student body with only
your underwear on
Shave off your head hair and eyebrows for
the rest of the semester
Would you rather…
Sleep in a bed of rats.
Catch a porcupine thrown from a 2nd
story
window.
Be sprayed by a skunk.
Let a rattle snake slither across your body.
Let bumble bees cover you from head to feet.
Let a tarantula walk across your face.
Give a speech to the student body with only
your underwear on
Shave off your head hair and eyebrows for
the rest of the semester
52. Stump the class
• Work in teams of 2-3
• Each person write one multiple choice
or short answer question on your index
cards from Ch. 4 or 5
• Question on one side, answer on the
other
• Share your questions with your team
and revise if necessary
• Give your cards to Beck to share with
the class