1. Classification of organisms is important to help organize the millions of species that have been discovered. Aristotle was the first to classify organisms into two kingdoms but his system had flaws.
2. Carolus Linnaeus improved on Aristotle's system by using physical traits and introduced binomial nomenclature, the scientific naming convention still used today.
3. There are currently six kingdoms used to classify organisms: Archaebacteria, Eubacteria, Protista, Fungi, Plantae, and Animalia. Classification is based on characteristics like cell structure, DNA, and phylogeny.
These slides contain short definitions and history of systematic zoology and taxonomy. The information in slides is taken from 2-3 taxonomy books and lectures from university at master level.
These slides contain short definitions and history of systematic zoology and taxonomy. The information in slides is taken from 2-3 taxonomy books and lectures from university at master level.
Objective of this presentation is to introduce first year Biological Sciences Students in Nigerian Universities on various forms of life in the Animal Kingdom.
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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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/
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.
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.
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
2. A. Why we need to Classify organisms
1. Hundreds of new organisms are discovered and
named each year.
2. Most of the new discoveries are INSECTS.
3. Most are found in the tropical rain forest.
3. B. History of Classification
1. Classify: to group things based on similarities.
a. Example: Grocery aisles are grouped by the type of
food they stock.
b. Libraries: Books are grouped together by type.
c. Music Stores: Group CD’s by type of music.
2. Aristotle was the first person to classify living
things.
a. He developed a science of classifying and naming
organisms called TAXONOMY.
b. Divided living things into two groups called
KINGDOMS.
c. KINGDOM: Largest of all the taxonomic categories.
d. Two groups were called Plants and Animals.
4. 3. Aristotle used two main characteristics (color and
movement) to figure out which kingdom the
organism should be placed.
a. If it was green and did not move it was a plant.
b. If it wasn’t green and moved it was an animal.
DO YOU SEE ANY POSSIBLE PROBLEMS WITH ARISTOTLE’S
CLASSIFICATION SYSTEM? (Think about a grasshopper, a
frog, red maple trees, etc….)
5. 4. Aristotle’s Plant Kingdom
a. Subgroup Herbs: small plants
b. Subgroup Shrubs: medium plants
c. Subgroup Trees: large plants.
6. 5. Aristotle’s Animal Kingdoms
a. Subgroup Avian: air animals
b. Subgroup Aquatic: water animals
c. Subgroup Terrestrial: Land Animals
7. C. Problems with Aristotle’s Classification
1. Some organisms cannot be classified by his
taxonomic characteristics.
a. Frogs: They are green and they moved!!!
b. Red Maple Trees: They are red and did not move (like
people; we know plants do move toward the sun)
c. Ducks: fly through the air, float on water, and nest on
land.
2. Because of these problems; improvements had to
be made.
8. D. Carolus Linnaeus (Swedish Naturalist)
1. Linnaeus created a better system to classify
organisms.
a. His system was based on similarities in body structure
and systems, size, shape, color, and the method of
obtaining food.
9. 2. Linnaeus also created a system for naming
organisms.
a. BINOMIAL NOMENCLATURE: 2 word naming system
used to name all organisms.
b. BINOMIAL NOMENCLATURE is still used today
c. This is also called the Scientific Name
3. Scientific Name has two parts
a. First word is called the GENUS.
b. The second word is called the SPECIES.
10. E. Rules of Binomial Nomenclature
1. Genus always comes first, is always capitalized, and
either italicized or underlined.
2. The Species always is second, is always lowercase,
and either italicized or underlined.
3. Scientific names are always written in Latin; all
educated people worldwide used to speak Latin.
11. 4. Examples of Scientific Names
a. Scientific Names
b. Canis familiaris-dog
c. Felis domesticus-cat
d. Homo sapiens-humans
e. Canis Lupus- Wolf
f. All the different breeds of dogs are all
Canis familiaris; therefore they can
interbreed (Mutt)
12. 5. Only organisms of the same SPECIES can
successfully reproduce without any problems.
a. Horse X Donkey= Mule (cannot reproduce)
b. Lion X Tiger= Liger
c. Zebra and Donkey= Zedonk
d. ***Naming these organisms is tricky, you would use
the genus name of the parents then both species
names of the parents: Mule (Equus caballus x asinus)
Liger Link
13. F. How Do We Classify today?
1. Based on the following
a. Presence of a nucleus
b. How many cells are present.
c. Ability to make food.
d. Ability to move.
e. DNA
f. Body Structure (how may legs, arm, lungs, etc.)
g. Phylogeny
2. Phylogeny is the organism’s evolutionary history.
14. G. Taxonomic Groups (From largest to smallest)
Kingdom
Phylum
Class
Order
Family
Genus
Species
15. H. The Six Kingdoms Used Today
1. Archaebacteria
a. Once celled bacteria that live in extreme
environments, like salt water, volcanoes, and sulfur
springs.
b. Prokaryotes: does not have a true nucleus, DNA is
there bit it is not surrounded by a membrane.
c. Some make own food, some do not.
17. 2. Eubacteria
a. One celled bacteria that live in normal environments.
b. Prokaryotes (does not have a true nucleus)
c. Example: Streptococcus, cyanobacteria (green), E. Coli
3. Protista
a. 1 or many celled
b. Most live in water
c. Eukaryotic (has a true nucleus)
d. Examples: (paramecium, Amoeba, Euglena)
18. 4. Fungi
a. Have one or many cells
b. Eukaryotic (has a true nucleus)
c. Examples: Mushrooms, molds, yeasts
5. Plants
a. Many celled organisms
b. Eukaryotic (has a true nuclues)
c. Examples: Roses, Grass, Apple Tree, Moss
19. 6. Animal Kingdom
a. Many celled
b. Most advanced kingdom
c. Eukaryotic : has a true nucleus, membrane
surrounds genetic material.
d. Examples: Humans, monkeys, sponges, ect.
20. I. Ways Organisms Obtain Food
1. Producers: can make their own food by
photosynthesis.
a. Example: Plants, green bacteria, green protists
2. Consumers: Cannot make their own food; must
go out and get it from another organism.
21. 3. Types of Consumers
a. Parasites: Feed off another living thing; usually harsm
the host. (fleas, ticks, leeches) (see previous slide for
pic)
b. Decomposer (Saprophyte): Feed off of already dead
things. (humans, flies, crows, turkey vultures)
c. Predator: Hunts, kills, and eats its prey immediately.
(Tigers, Grizzly Bears, Eagles, Red Tailed Hawks)
22. J. Summary of Classification
1. 1.5 million species have been identified.
2. Scientists believe there are between 5 to 30
million species on Earth.
3. Aristotle started out with 2 (Plant/Animal)
4. Invention of microscope led to a third kingdom
(Protist).
5. More studies led to 5 kingdoms (Plant, Animal,
Fungi, Protist, and Bacteria {Monera})
6. Today there are 6; Bacteria is now broken into
Archaebacteria and Eubacteria.
7. Is there a 7th in the future??? (Viruses????)
23. K. Species Diversity
1. Diversity: Great variety of plants, animals, and
other species living in an area.
a. More diverse an area, the more stable it is.
2. In 1 hectare (50 acres) of the Rain Forest there
are around 200 species of plants and 1000
species of animals. (Wow!!!!)
a. This region has excellent diversity.
b. Unfortunately we are cutting down about 1000 acres
of rain forest every minute!!!!!
24. L. Extinction
1. Extinction: when a species no longer exists.
2. Examples:
a. Dodo bird
b. Passenger Pigeon
c. Tasmanian Wolf
d. Carolina Parakeet
e. Dinosaurs
25. M. What Does Endangered Mean?
1. Endangered: Animals that are close to becoming
extinct.
2. Examples:
a. Florida Panther
b. Bog Turtle
c. Gray Wolf
d. Manatee
26. N. Common Names
1. Scientists do not use common names because
they can be very confusing; often there are many
names for the same organism.
2. Examples:
a. Groundhog and Woodchuck
b. Puma, Cougar, and Mountain Lion (depending upon
location)
3. Because of this scientists only use scientific
names.
27. O. Tools for Identifying Organisms
1. Field Guide: Book of traits and pictures to
identify organisms.
2. Dichotomous Keys: a detailed list of traits used
to classify organisms. (we will do an activity on
this!!!)