The document discusses GBIF's Checklist Bank, which indexes taxonomic checklists to provide a single, consistent taxonomy or "backbone" for metrics, search, and mapping on GBIF. It summarizes the goals of indexing checklists from various sources using uniform terms, providing a source for GBIF's taxonomic backbone by linking names across checklists, and offering a name matching service. It also provides statistics on the number of indexed checklists and names in the backbone.
J.M. Saarela, L.J. Gillespie, P.C. Sokoloff and R.D. Bull.
Floristic Discoveries and Biodiversity of the Canadian Arctic Vascular Plant Flora. Presented by J.M. Saarela at Arctic Change 2014, 8-12 December 2014, Ottawa, ON, Canada.
J.M. Saarela, L.J. Gillespie, P.C. Sokoloff and R.D. Bull.
Floristic Discoveries and Biodiversity of the Canadian Arctic Vascular Plant Flora. Presented by J.M. Saarela at Arctic Change 2014, 8-12 December 2014, Ottawa, ON, Canada.
Botanists and annotations printer friendlyWilliam Ulate
Findings from I Annotate 2016 concluded that the uptake of web annotation could be sufficiently moved forward by tackling three key issues: 1) interoperability, 2) domain use cases, and 3) user centered design. The Center for Biodiversity Informatics at the Missouri Botanical Garden has identified valuable use cases for developing in-depth user assessments of annotation needs in the specific domain of botanists. This presentation will share those use cases and talk about next steps in serving the annotation needs of botanists and their relevance for the larger scientific domain.
The Biodiversity Heritage Library Mass Digitizing Project: A Grandeur in this...Martin Kalfatovic
The Biodiversity Heritage Library Mass Digitizing Project: A Grandeur in this View of Digital Libraries by Martin R. Kalfatovic and Suzanne C. Pilsk, Smithsonian Institution Libraries. LITA National Forum, October 2007. Denver, Colorado.
Nigel J. Robinson - ZooBank and Zoological Record - a partnership for successICZN
Since its origin in 1864, ZR has had a close association with the taxonomic community, particularly with the Zoological Society of London. ZR was founded in 1864 by a group of scientists associated with the British Museum. It continued, supported by Society until 1980 when a partner was sought and BIOSIS took over production activities. In 2004, BIOSIS realised that with limited resources we could not achieve our aims and put our ideas into practice without further partnerships, so in January 2004, BIOSIS (including ZR) was acquired by the Thomson Corporation, and the new ownership is now starting to pay dividends. Over that 150 years or so, there have been difficult times, but ZR is still here and still has the same purpose it had in 1864 - to serve the community and disseminate taxonomic, biodiversity and zoological information for the benefit of scientific research.
This presentation discusses ZR, and the new free Index to Organism Names service which serves to demonstrate our commitment as Thomson to this initiative. I will also discuss how the partnership between ZR and ICZN might work from the ZR perspective.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Botanists and annotations printer friendlyWilliam Ulate
Findings from I Annotate 2016 concluded that the uptake of web annotation could be sufficiently moved forward by tackling three key issues: 1) interoperability, 2) domain use cases, and 3) user centered design. The Center for Biodiversity Informatics at the Missouri Botanical Garden has identified valuable use cases for developing in-depth user assessments of annotation needs in the specific domain of botanists. This presentation will share those use cases and talk about next steps in serving the annotation needs of botanists and their relevance for the larger scientific domain.
The Biodiversity Heritage Library Mass Digitizing Project: A Grandeur in this...Martin Kalfatovic
The Biodiversity Heritage Library Mass Digitizing Project: A Grandeur in this View of Digital Libraries by Martin R. Kalfatovic and Suzanne C. Pilsk, Smithsonian Institution Libraries. LITA National Forum, October 2007. Denver, Colorado.
Nigel J. Robinson - ZooBank and Zoological Record - a partnership for successICZN
Since its origin in 1864, ZR has had a close association with the taxonomic community, particularly with the Zoological Society of London. ZR was founded in 1864 by a group of scientists associated with the British Museum. It continued, supported by Society until 1980 when a partner was sought and BIOSIS took over production activities. In 2004, BIOSIS realised that with limited resources we could not achieve our aims and put our ideas into practice without further partnerships, so in January 2004, BIOSIS (including ZR) was acquired by the Thomson Corporation, and the new ownership is now starting to pay dividends. Over that 150 years or so, there have been difficult times, but ZR is still here and still has the same purpose it had in 1864 - to serve the community and disseminate taxonomic, biodiversity and zoological information for the benefit of scientific research.
This presentation discusses ZR, and the new free Index to Organism Names service which serves to demonstrate our commitment as Thomson to this initiative. I will also discuss how the partnership between ZR and ICZN might work from the ZR perspective.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
2. Organizing Occurrences
• GBIF needs a single, consistent taxonomy
• for metrics, search, maps
• considerable variation in higher taxa
• synonymies can be very large
• Catalogue of Life largest single source
• ~90% of GBIF occurrence records (thanks to birds)
• ~60% of GBIF occurrence names (35% in 2010)
• GBIF needs to assemble a taxonomy
• originally merged (noisy) names found
in occurrences. Resulted in lots of duplicates
• improved by stitching together checklist datasets
• include fossil names
Cronquist classification
Mimosaceae: 3,200 species
Caesalpiniaceae: 2,000 species
Fabaceae: 14,000 species
“Modern” classification
Fabaceae: 19,200 species
Mimosoideae: 3,200 species
Cæsalpinioideae: 2,000 species
Faboideae: 14,000 species
3. Checklist Bank Goals
• Index to “checklists”, i.e. full taxonomies & simple name lists
• uniform API
• standard use of DwC terms
• Source for GBIF Backbone names
• better quality than using GBIF occurrence names
• stores & serves also the GBIF Backbone in the same way
• Name matching service for GBIF Backbone
• for dirty occurrence names
• for cleaner checklist names
• Link same names across checklists
4. Indexed Checklists Oct 2016
16.519 datasets registered 22.1 million name records
Plazi (14.861), Scratchpads (998), Pensoft (217), CoL GSDs (160)
5. Backbone Sources
• Catalogue of Life
• GBIF Algae Classification
• ION Taxonomic Hierarchy
• World Register of Marine Species
• Catalogue of Afrotropical Bees
• EDIT Cichorieae
• World Typhlocybinae database
• Spinnengids
• Afromoths
• True Fruit Flies of the Afrotropical Region
• Fauna Europaea
• Euro+Med Plantbase
• Beetles (Coleoptera) of Canada and Alaska
• The Clements Checklist
• IOC World Bird Names
• Nomenclators
• IPNI
• Index Fungorum
• Prokaryotic
Nomenclature Up-
to-date
• ICTV Master
Species List
• Publisher
• Species Files
• Diversity Taxon
Names
• Plazi articles
• Mammal Species of the World
• Dyntaxa - Svensk taxonomisk databas
• Artsnavnebasen
• GRIN Taxonomy
• Flora of Brazil
• Database of Vascular Plants of Canada
• Plant List
• ITIS
• TAXREF
• The National Checklist of Taiwan
• Endemic species in Taiwan
• IRMNG
• Index Fungorum
• Paleobiology Database
https://github.com/gbif/checklistbank/blob/master/checklistbank-nub/nub-sources.tsv
6. Backbone Building
• Overlay prioritised sources
• start with Catalog of Life
• primary source defines status
• create new name if kingdom, canonical name & authorship do not exist in
current nub
• Ignore source name if …
• not a major Linnean rank (infraspecifc ranks are included)
• higher ranks above family (configurable per source, CoL for higher taxa)
• status conflicts with previously encountered status
• hybrid formula, cultivar, candidatus or placeholder names !!!
• Rebuild backbone every 4 month
Catalogue of Life
Fauna
Europaea
GRIN
Mammal
Species
World
Specimens 8000 Species Lists
10s of taxonomic resources
Me
7. Backbone Metrics
accepted by kingdom
Animalia
Archaea
Bacteria
Chromista
Fungi
Plantae
Protozoa
Viruses
Other
100 10.000 1.000.000
names by status
total
accepted
doubtful
synonym
homotypic synonym
heterotypic synonym
proparte synonym
100 10.000 1.000.000
accepted by rank
kingdom
phylum
class
order
family
genus
species
subspecies
variety
form
unranked
100 10.000 1.000.000
2.693.192
1.937.869
439.243
2.525.274
401.693
22.165
1.695.892
554.581
202.943
92.247
name by various
catalogue of life
IRMNG
IPNI
basionym
basionym placeholder
basionym derived
ex-author synonym
proparte
100 10.000 1.000.000
3.175.925
733.720
114.127
458.189
638.146
5.307.978
8. Backbone Name Matching
• Fuzzy mode for occurrence names
• fuzzy name match
• fuzzy classification match
• allow higher rank matches, e.g. to genus or class only
http://api.gbif.org/v1/species/match?kingdom=Plantae&name=Oenante
• Strict mode for checklist names
• kingdom match required
• rank match required
• canonical name match required
• allow double letters and few common misspellings (ll->l, y->i, rh->r)
• gender neutral epithet matching
• lose authorship comparison
http://api.gbif.org/v1/species/match?strict=true&kingdom=Plantae&name=Oenanthe L.
9. Name Matching Issues
• Homonyms
• legal cross code homonyms
• synonyms with different authors
• monomials at different rank
difficult but solved !!!
• Name not in backbone
• regular gaps (especially fossils, molluscs & insects)
• non Linnean rank (e.g. subclass Vertebrata)
• No Taxon concept matching
• concepts hard to define
• type specimen information rare & not well structured
• synonyms & included children good candidate for comparison
• tough for occurrences. No taxonomies & hardly any taxonomic references used
10. Storing Name Matches
• Avoid exponential link growth
• thousands of datasets possible
• store links to backbone only
• allows all crosswalks in 2 steps
if backbone is complete
Abies alba Mill.
Abies alba Miller
Abies alba
Abies alba Mill.
Abies alba Mill.
Abies alba Mill.
Abies alba Mill.
Abies alba Mill.
Abies alba Miller
Abies alba
Abies alba Mill.
Abies alba Mill.
Abies alba Mill.
11. Backbone Identifier
• Name identifier, not accepted taxa
• Status, synonyms, classification, included taxa, description or types
are ignored
• Unchanged for lexical group of name strings
• Macrozamia platyrhachis F. M. Bailey
• Macrozamia platyrhachis
• Macrozamia platyrachis Bailey
• Uses strict matching service to group name strings
• Stable over different backbone versions
• Deleted names still resolve
17. Backbone Assembling
Asteraceae
Helianthus L.
Helianthus anuus L.
Agoseris
Agoseris apargioides (Less.) Greene
= A. maritima Eastw.
A. a. var. eastwoodiae (Fedde) Munz
A. a. var. maritima (E. Sheld.) Baird
Cichorium L.
Cichorium intybus L.
= C. balearicum Porta
= C. byzantinum Clem.
• Infraspecific names included
Asteraceae
Agoseris apargioides (Less.) Greene
= A. maritima Eastw.
A. a. var. eastwoodiae (Fedde) Munz
A. a. var. maritima (E. Sheld.) Baird
18. Backbone Assembling
Asteraceae
Helianthus L.
Helianthus anuus L.
Agoseris
Agoseris apargioides (Less.) Greene
= A. maritima Eastw.
A. a. var. eastwoodiae (Fedde) Munz
A. a. var. maritima (E. Sheld.) Baird
Agoseris eastwoodiae Fedde
Agoseris maritima E. Sheld.
Cichorium L.
Cichorium intybus L.
= C. balearicum Porta
= C. byzantinum Clem.
• Other source treats them
as species
• Same canonical maritima
allowed twice - author different
Asteraceae
Agoseris eastwoodiae Fedde
Agoseris maritima E. Sheld.
19. Final Cleanup - Basionyms
Asteraceae
Helianthus L.
Helianthus anuus L.
Agoseris
Agoseris apargioides (Less.) Greene
= A. maritima Eastw.
A. a. var. eastwoodiae (Fedde) Munz
= Agoseris eastwoodiae Fedde
A. a. var. maritima (E. Sheld.) Baird
= Agoseris maritima E. Sheld.
Cichorium L.
Cichorium intybus L.
= C. balearicum Porta
= C. byzantinum Clem.
• Finally basionyms are detected
• by terminal epithet & author
within a family
• skip epithets that are used in
multiple original names
• Only 1 accepted per group
• the name from the most
trusted source stays
20. Final Cleanup - Autonyms
Asteraceae
Helianthus L.
Helianthus anuus L.
Agoseris
Agoseris apargioides (Less.) Greene
= A. maritima Eastw.
A. a. var. apargioides
A. a. var. eastwoodiae (Fedde) Munz
= Agoseris eastwoodiae Fedde
A. a. var. maritima (E. Sheld.) Baird
= Agoseris maritima E. Sheld.
Cichorium L.
Cichorium intybus L.
= C. balearicum Porta
= C. byzantinum Clem.
• Create missing autonyms