Sigmoid Social

IJCISIM Journal🙌<a href="https://fediscience.org/tags/call4reading" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#call4reading</a>✍️Bamboo Species <a href="https://fediscience.org/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#classification</a> Using Deep Convolutional <a href="https://fediscience.org/tags/Neural" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neural</a> Network (<a href="https://fediscience.org/tags/DCNN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DCNN</a>) <a href="https://fediscience.org/tags/by" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#by</a> Kudipudi Srinivas, K. Suvarna Vani, Potluru Manasa🔗<a href="https://cspub-ijcisim.org/index.php/ijcisim/article/view/555/528" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://cspub-ijcisim.org/index.php/ijcisim/article/view/555/528</a>

Tiago F. R. RibeiroBuild an LLM from Scratch 6: Finetuning for Classification📎 <a href="https://www.youtube.com/watch?v=5PFXJYme4ik" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.youtube.com/watch?v=5PFXJYme4ik</a> <a href="https://mastodon.social/tags/Finetuning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Finetuning</a> <a href="https://mastodon.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LLMs</a> <a href="https://mastodon.social/tags/Classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Classification</a>

Holle Meding📰 Classifying Genre in Historical Medical PeriodicalsNext in line: Vera Danilova presents her work on genre classification in digitized periodicals from European patient organizations (1951–1990) using <a href="https://mastodon.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LLMs</a> as part of the <a href="https://mastodon.social/tags/ActDisease" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ActDisease</a> project. 🔹 XLM-RoBERTa (UDM) led Q&A tasks with 32% more correct answers than mBERT/hmBERT. 🔹 hmBERT (UDM) topped Administrative classification (+16%) 🔹 CORE-based models excelled in legal genre prediction. <a href="https://mastodon.social/tags/DigitalHumanities" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DigitalHumanities</a> <a href="https://wisskomm.social/@tuberlin" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@tuberlin</a> <a href="https://mastodon.social/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#classification</a> <a href="https://mastodon.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NLP</a>

Europe Says<a href="https://www.europesays.com/1952170/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.europesays.com/1952170/</a> An automated parallel genetic algorithm with parametric adaptation for distributed data analysis <a href="https://pubeurope.com/tags/Classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Classification</a> <a href="https://pubeurope.com/tags/COMPUTERSCIENCE" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#COMPUTERSCIENCE</a> <a href="https://pubeurope.com/tags/Data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Data</a> <a href="https://pubeurope.com/tags/GAsParameterControl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GAsParameterControl</a> <a href="https://pubeurope.com/tags/GeneticAlgorithms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GeneticAlgorithms</a>(GAs) <a href="https://pubeurope.com/tags/HumanitiesAndSocialSciences" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#HumanitiesAndSocialSciences</a> <a href="https://pubeurope.com/tags/LargeScaleDataProcessing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LargeScaleDataProcessing</a> <a href="https://pubeurope.com/tags/multidisciplinary" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#multidisciplinary</a> <a href="https://pubeurope.com/tags/science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#science</a> <a href="https://pubeurope.com/tags/ScientificData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ScientificData</a> <a href="https://pubeurope.com/tags/Spark" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Spark</a>

NFDI4DSCall for participation: 2nd LLMs4Subjects Shared Task (<a href="https://sites.google.com/view/llms4subjects-germeval/" rel="nofollow noopener noreferrer" target="_blank">https://sites.google.com/view/llms4subjects-germeval/</a>) The challenge is part of the German Evaluation (GermEval 2025) on 10. - 12. September, 2025 in Hildesheim, Germany, co-located with KONVENS 2025. Release of training/ testing data: March 8/ May 23, 2025 Deadline for system submissions: June 2, 2025<a href="https://nfdi.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NLP</a> <a href="https://nfdi.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LLM</a> <a href="https://nfdi.social/tags/SharedTask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SharedTask</a> <a href="https://nfdi.social/tags/Challenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Challenge</a> <a href="https://nfdi.social/tags/LMMs4Subjects" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LMMs4Subjects</a> <a href="https://nfdi.social/tags/Classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Classification</a> <a href="https://nfdi.social/tags/energyefficiency" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#energyefficiency</a> <a href="https://nfdi.social/tags/KONVENS2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#KONVENS2025</a> <a href="https://nfdi.social/tags/Hildesheim" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Hildesheim</a> <a href="https://nfdi.social/tags/NFDI4DS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NFDI4DS</a>

IJCISIM Journal👏<a href="https://fediscience.org/tags/call4reading" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#call4reading</a>✍️Detection of <a href="https://fediscience.org/tags/Lung" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Lung</a> Cancer Using <a href="https://fediscience.org/tags/Optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Optimal</a> Hybrid <a href="https://fediscience.org/tags/Segmentation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Segmentation</a> and <a href="https://fediscience.org/tags/Classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Classification</a> <a href="https://fediscience.org/tags/by" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#by</a> Roopa Chandrika R, V. Anitha, Nihar Ranjan Behera, P. Vamsi Krishna, Ravindra NamdeoraoJogekar, Kamlesh Singh🔗<a href="https://cspub-ijcisim.org/index.php/ijcisim/article/view/554" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://cspub-ijcisim.org/index.php/ijcisim/article/view/554</a>

Osma SuominenThe first alpha version of Skosmos 3 has been published! This release provides a peek into the upcoming next major version of the Skosmos publishing tool for SKOS controlled vocabularies.The release features a reimplemented front-end with a fresh layout and improved accessibility, as well as many architectural improvements and modernization of the codebase.<a href="https://github.com/NatLibFi/Skosmos/releases/tag/v3.0-alpha.1" target="_blank" rel="nofollow noopener noreferrer" translate="no">https://github.com/NatLibFi/Skosmos/releases/tag/v3.0-alpha.1</a><a href="https://sigmoid.social/tags/Skosmos" class="mention hashtag" rel="tag">#Skosmos</a> <a href="https://sigmoid.social/tags/SKOS" class="mention hashtag" rel="tag">#SKOS</a> <a href="https://sigmoid.social/tags/thesaurus" class="mention hashtag" rel="tag">#thesaurus</a> <a href="https://sigmoid.social/tags/classification" class="mention hashtag" rel="tag">#classification</a> <a href="https://sigmoid.social/tags/ontology" class="mention hashtag" rel="tag">#ontology</a> <a href="https://sigmoid.social/tags/code4lib" class="mention hashtag" rel="tag">#code4lib</a> <a href="https://sigmoid.social/tags/OpenSource" class="mention hashtag" rel="tag">#OpenSource</a>

nf-corePipeline release! nf-core/taxprofiler v1.2.3 - v1.2.3 - Bouncy Basenji Patch!Please see the changelog: <a href="https://github.com/nf-core/taxprofiler/releases/tag/1.2.3" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://github.com/nf-core/taxprofiler/releases/tag/1.2.3</a><a href="https://mstdn.science/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#classification</a> <a href="https://mstdn.science/tags/illumina" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#illumina</a> <a href="https://mstdn.science/tags/longreads" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#longreads</a> <a href="https://mstdn.science/tags/metagenomics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#metagenomics</a> <a href="https://mstdn.science/tags/microbiome" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#microbiome</a> <a href="https://mstdn.science/tags/nanopore" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#nanopore</a> <a href="https://mstdn.science/tags/pathogen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pathogen</a> <a href="https://mstdn.science/tags/profiling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#profiling</a> <a href="https://mstdn.science/tags/shotgun" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#shotgun</a> <a href="https://mstdn.science/tags/taxonomicclassification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#taxonomicclassification</a> <a href="https://mstdn.science/tags/taxonomicprofiling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#taxonomicprofiling</a> <a href="https://mstdn.science/tags/nfcore" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#nfcore</a> <a href="https://mstdn.science/tags/openscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#openscience</a> <a href="https://mstdn.science/tags/nextflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#nextflow</a> <a href="https://mstdn.science/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#bioinformatics</a>

IJCISIM Journal🙌<a href="https://fediscience.org/tags/call4reading" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#call4reading</a>✍️Multi-Class <a href="https://fediscience.org/tags/Classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Classification</a> of <a href="https://fediscience.org/tags/Alzheimer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Alzheimer</a>’s Disease Stages Using <a href="https://fediscience.org/tags/SqueezeNet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SqueezeNet</a> based Approach for <a href="https://fediscience.org/tags/Automated" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Automated</a> Diagnosis <a href="https://fediscience.org/tags/by" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#by</a> Anil Kumar Pallikonda and P. Suresh Varma🔗<a href="https://cspub-ijcisim.org/index.php/ijcisim/article/view/549" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://cspub-ijcisim.org/index.php/ijcisim/article/view/549</a>

Travis F WWhich is not to say that I want to engineer a better hashtag (though I do). I want to enable the whole range of classifications as a first-class construct in the <a href="https://fosstodon.org/tags/socialWeb" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#socialWeb</a> and <a href="https://fosstodon.org/tags/Fediverse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Fediverse</a>.By which, I mean, yeah okay Dewey Decimal if you must, but actually everything. <a href="https://en.wikipedia.org/wiki/Library_classification" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://en.wikipedia.org/wiki/Library_classification</a> <a href="https://fosstodon.org/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#classification</a>

Travis F WI have to level with you. I would not be considering writing and running a <a href="https://fosstodon.org/tags/socialWeb" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#socialWeb</a> platform for <a href="https://fosstodon.org/tags/writers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#writers</a> if I did not have a few itches to scratch.context: <a href="https://fosstodon.org/@travisfw/114099690246606913" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://fosstodon.org/@travisfw/114099690246606913</a>One itch is <a href="https://fosstodon.org/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#classification</a>. <a href="https://fosstodon.org/tags/Hashtags" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Hashtags</a> are nicely nonlinear. They are simple, and for being simple, they are effective. But, in giving authors direct access to declare the index their work appears in, you throw out all of the potential benefits modern approaches to indexing and search could yield. EG: stemming.

malteWho's working the most higher-order <a href="https://radikal.social/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#classification</a> systems of things in the world? Systematics in biology work on classifying all living things. Every field has their own classification systems. Is there a field that integrates those classification systems to create a "taxonomy of everything"? When I search for that concept I'm pointed towards people working on <a href="https://radikal.social/tags/SemanticWeb" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SemanticWeb</a> - I'm curious if there are any good sources out there to read up on, especially actual attempts/examples! <a href="https://radikal.social/tags/taxonomy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#taxonomy</a>

JMLR'Supervised Learning with Evolving Tasks and Performance Guarantees', by Verónica Álvarez, Santiago Mazuelas, Jose A. Lozano.<a href="http://jmlr.org/papers/v26/24-0343.html" target="_blank" rel="nofollow noopener noreferrer" translate="no">http://jmlr.org/papers/v26/24-0343.html</a> <a href="https://sigmoid.social/tags/supervised" class="mention hashtag" rel="tag">#supervised</a> <a href="https://sigmoid.social/tags/tasks" class="mention hashtag" rel="tag">#tasks</a> <a href="https://sigmoid.social/tags/classification" class="mention hashtag" rel="tag">#classification</a>

Bytes EuropeAn explainable and accurate transformer-based deep learning model for wheeze classification utilizing real-world pediatric data <a href="https://www.byteseu.com/747850/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.byteseu.com/747850/</a> <a href="https://pubeurope.com/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://pubeurope.com/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ArtificialIntelligence</a> <a href="https://pubeurope.com/tags/Classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Classification</a> <a href="https://pubeurope.com/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DeepLearning</a> <a href="https://pubeurope.com/tags/HumanitiesAndSocialSciences" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#HumanitiesAndSocialSciences</a> <a href="https://pubeurope.com/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MachineLearning</a> <a href="https://pubeurope.com/tags/multidisciplinary" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#multidisciplinary</a> <a href="https://pubeurope.com/tags/PaediatricResearch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PaediatricResearch</a> <a href="https://pubeurope.com/tags/RespiratorySound" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RespiratorySound</a> <a href="https://pubeurope.com/tags/Science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Science</a> <a href="https://pubeurope.com/tags/Wheezing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Wheezing</a>

David Fi&erAncient Greek and Roman mythology: ReligionModern First Nations beliefs and spirituality: History: Indians of North America<a href="https://code4lib.social/tags/books" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#books</a> <a href="https://code4lib.social/tags/libraries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#libraries</a> <a href="https://code4lib.social/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#classification</a> <a href="https://code4lib.social/tags/colonialism" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#colonialism</a>

Osma SuominenVersion 1.3 of the automated subject subject indexing tool <a href="https://sigmoid.social/tags/Annif" class="mention hashtag" rel="tag">#Annif</a> has been released!This release introduces support for the EstNLTK analyzer for better Estonian lemmatization 🇪🇪, optimizations to the MLLM backend, as well as maintenance and bug fixes, including better file permissions in multi-user environments.<a href="https://github.com/NatLibFi/Annif/releases/tag/v1.3.0" target="_blank" rel="nofollow noopener noreferrer" translate="no">https://github.com/NatLibFi/Annif/releases/tag/v1.3.0</a><a href="https://sigmoid.social/tags/AI" class="mention hashtag" rel="tag">#AI</a> <a href="https://sigmoid.social/tags/machinelearning" class="mention hashtag" rel="tag">#machinelearning</a> <a href="https://sigmoid.social/tags/opensource" class="mention hashtag" rel="tag">#opensource</a> <a href="https://sigmoid.social/tags/code4lib" class="mention hashtag" rel="tag">#code4lib</a> <a href="https://sigmoid.social/tags/libraries" class="mention hashtag" rel="tag">#libraries</a> <a href="https://sigmoid.social/tags/subjectindexing" class="mention hashtag" rel="tag">#subjectindexing</a> <a href="https://sigmoid.social/tags/SKOS" class="mention hashtag" rel="tag">#SKOS</a> <a href="https://sigmoid.social/tags/classification" class="mention hashtag" rel="tag">#classification</a> <a href="https://sigmoid.social/tags/Estonian" class="mention hashtag" rel="tag">#Estonian</a> <a href="https://sigmoid.social/tags/eesti" class="mention hashtag" rel="tag">#eesti</a>

Claudine C :antifa:Second weekend in a row that I get a <a href="https://aus.social/tags/GLAMR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GLAMR</a>-adjacent sticker in the mail. This one's from <a href="https://hachyderm.io/@johnnydecimal" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@johnnydecimal</a> who teaches us how to apply decimal-based <a href="https://aus.social/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#classification</a> to our whole life.

LMS SolutionPower System Fault Detection and Classification Using Deep Neural Network Download MATLAB File: <a href="https://zurl.co/2fubi" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://zurl.co/2fubi</a> <a href="https://mastodon.social/tags/PowerSystem" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PowerSystem</a> <a href="https://mastodon.social/tags/FaultDetection" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FaultDetection</a> <a href="https://mastodon.social/tags/Classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Classification</a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DeepLearning</a> <a href="https://mastodon.social/tags/NeuralNetwork" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NeuralNetwork</a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MachineLearning</a> <a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ArtificialIntelligence</a>

naught101Is there a data structure that can sensibly handle multiple hierarchical classification systems?e.g. an Orange, in terms of phylogeny is Plantae->Eudicot->...->Citrus->sinensisand in terms of usefulness, is Thing->Food->fruit->orange (and it could have multiple parents in this taxonomy, e.g. cleaning product)Bonus points for cool visualisations of this kind information.<a href="https://mastodon.social/tags/data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#data</a> <a href="https://mastodon.social/tags/dataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dataScience</a> <a href="https://mastodon.social/tags/dataStructure" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dataStructure</a> <a href="https://mastodon.social/tags/information" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#information</a> <a href="https://mastodon.social/tags/hierarchy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#hierarchy</a> <a href="https://mastodon.social/tags/taxonomy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#taxonomy</a> <a href="https://mastodon.social/tags/classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#classification</a> <a href="https://mastodon.social/tags/visualisation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#visualisation</a> <a href="https://mastodon.social/tags/dataViz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dataViz</a>

The Inquisitive BiologistNew review: How is the living world organized and classified? Encyclopaedic in scope yet compelling to read, the deeply researched Kingdoms, Empires, & Domains is an 851-page behemoth that surveys 26 centuries of our changing understanding. <a href="https://inquisitivebiologist.com/2025/01/17/book-review-kingdoms-empires-domains-the-history-of-high-level-biological-classification/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://inquisitivebiologist.com/2025/01/17/book-review-kingdoms-empires-domains-the-history-of-high-level-biological-classification/</a><a href="https://scicomm.xyz/tags/Books" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Books</a> <a href="https://scicomm.xyz/tags/BookReview" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#BookReview</a> <a href="https://scicomm.xyz/tags/Bookstodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Bookstodon</a> <a href="https://scicomm.xyz/tags/Scicomm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Scicomm</a> <a href="https://scicomm.xyz/tags/Classification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Classification</a> <a href="https://scicomm.xyz/tags/Genetics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Genetics</a> <a href="https://scicomm.xyz/tags/HistoryOfScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#HistoryOfScience</a> <a href="https://scicomm.xyz/tags/ScienceHistory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ScienceHistory</a> <a href="https://scicomm.xyz/tags/HistSci" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#HistSci</a> <a href="https://scicomm.xyz/tags/Microbiology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Microbiology</a> <a href="https://scicomm.xyz/tags/Phylogenetics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Phylogenetics</a> <a href="https://scicomm.xyz/tags/ScalaNaturae" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ScalaNaturae</a> <a href="https://scicomm.xyz/tags/Taxonomy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Taxonomy</a> <a href="https://scicomm.xyz/tags/Zoophyta" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Zoophyta</a> <a href="https://a.gup.pe/u/bookstodon" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@bookstodon</a>

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