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"Smith, Anne, translator"
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Castle in the stars. Book 2, The moon-king
On the aethership's maiden voyage, Seraphin and the Knights of Aether had prepared for everything--except treason. The villainous chamberlain wants to overthrow King Ludwig and claim the electro-aetheric technology for Prussia. The only escape for the king and his companions lies in the frosty skies above Bavaria. The ship's first flight is a success, but their respite is short-lived. As long as the chamberlain is free to spread his lies, these travelers will find no safe harbor. To save the king's throne, they must push the ship even farther--out of the sky ... and into the stars!
Book
Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science
Within clinical, biomedical, and translational science, an increasing number of projects are adopting graphs for knowledge representation. Graph‐based data models elucidate the interconnectedness among core biomedical concepts, enable data structures to be easily updated, and support intuitive queries, visualizations, and inference algorithms. However, knowledge discovery across these “knowledge graphs” (KGs) has remained difficult. Data set heterogeneity and complexity; the proliferation of ad hoc data formats; poor compliance with guidelines on findability, accessibility, interoperability, and reusability; and, in particular, the lack of a universally accepted, open‐access model for standardization across biomedical KGs has left the task of reconciling data sources to downstream consumers. Biolink Model is an open‐source data model that can be used to formalize the relationships between data structures in translational science. It incorporates object‐oriented classification and graph‐oriented features. The core of the model is a set of hierarchical, interconnected classes (or categories) and relationships between them (or predicates) representing biomedical entities such as gene, disease, chemical, anatomic structure, and phenotype. The model provides class and edge attributes and associations that guide how entities should relate to one another. Here, we highlight the need for a standardized data model for KGs, describe Biolink Model, and compare it with other models. We demonstrate the utility of Biolink Model in various initiatives, including the Biomedical Data Translator Consortium and the Monarch Initiative, and show how it has supported easier integration and interoperability of biomedical KGs, bringing together knowledge from multiple sources and helping to realize the goals of translational science.
Journal Article
Castle in the stars. Book three, The knights of Mars
\"When Seraphin, Hans, and Sophie returned from their voyage to the moon, they didn't come home empty-handed--they brought with them aetherite, a miraculous substance that defies gravity. To keep their secret safe from the Prussians, the trio lives in hiding on a remote island in Brittany. Meanwhile, Seraphin's father has founded the International Society of Aether, a group of scientists dedicated to the peaceful pursuit of space exploration. But on the eve of their inaugural meeting, he vanishes without a trace\"--Back cover.
Book
Progress toward a universal biomedical data translator
Clinical, biomedical, and translational science has reached an inflection point in the breadth and diversity of available data and the potential impact of such data to improve human health and well‐being. However, the data are often siloed, disorganized, and not broadly accessible due to discipline‐specific differences in terminology and representation. To address these challenges, the Biomedical Data Translator Consortium has developed and tested a pilot knowledge graph‐based “Translator” system capable of integrating existing biomedical data sets and “translating” those data into insights intended to augment human reasoning and accelerate translational science. Having demonstrated feasibility of the Translator system, the Translator program has since moved into development, and the Translator Consortium has made significant progress in the research, design, and implementation of an operational system. Herein, we describe the current system’s architecture, performance, and quality of results. We apply Translator to several real‐world use cases developed in collaboration with subject‐matter experts. Finally, we discuss the scientific and technical features of Translator and compare those features to other state‐of‐the‐art, biomedical graph‐based question‐answering systems.
Journal Article
The runaway princess
\"Adventures await when Robin (bored of princess-ing all the time) embarks on the best adventure of her life--meeting friends along the way as she travels through the magical landscape of her country. But her parents aren't so pleased--and they're coming to find her and bring her back to the castle, no matter how she feels about it!\"-- Provided by publisher.
Book
An approach for collaborative development of a federated biomedical knowledge graph-based question-answering system: Question-of-the-Month challenges
Knowledge graphs have become a common approach for knowledge representation. Yet, the application of graph methodology is elusive due to the sheer number and complexity of knowledge sources. In addition, semantic incompatibilities hinder efforts to harmonize and integrate across these diverse sources. As part of The Biomedical Translator Consortium, we have developed a knowledge graph–based question-answering system designed to augment human reasoning and accelerate translational scientific discovery: the Translator system. We have applied the Translator system to answer biomedical questions in the context of a broad array of diseases and syndromes, including Fanconi anemia, primary ciliary dyskinesia, multiple sclerosis, and others. A variety of collaborative approaches have been used to research and develop the Translator system. One recent approach involved the establishment of a monthly “Question-of-the-Month (QotM) Challenge” series. Herein, we describe the structure of the QotM Challenge; the six challenges that have been conducted to date on drug-induced liver injury, cannabidiol toxicity, coronavirus infection, diabetes, psoriatic arthritis, and ATP1A3 -related phenotypes; the scientific insights that have been gleaned during the challenges; and the technical issues that were identified over the course of the challenges and that can now be addressed to foster further development of the prototype Translator system. We close with a discussion on Large Language Models such as ChatGPT and highlight differences between those models and the Translator system.
Journal Article
Jim Henson's Storyteller: Witches
What's to Love: Jim Henson's The Storyteller television show delighted fans for generations, and we're honored to be able to collect new stories in the spirit of the beloved series. We've collected the four tales of wonder and witchcraft from Jim Henson's The Storyteller: Witches in a beautiful hardcover that will delight fans of all ages. What It Is: Inspired by folklore from around the world and all told in the spirit of Jim Henson's beloved beloved television series, this hardcover collects the watercolor story of \"The Magic Swan Goose and the Lord of the Forest\" from S.M. Vidaurri (Iron: Or, the War After), Spera artist Kyla Vanderklugt's haunting tale of the snow witch, Matthew Dow Smith's tale of a man shipwrecked on an island of witches, and the unproduced The Storyteller teleplay from The Jim Henson Company Archives, adapted by Jeff Stokely (Six-Gun Gorilla). Features an allnew cover illustration by Sonny Liew (The Shadow Hero) and the neverbeforeseen, unproduced The Storyteller teleplay from The Jim Henson Company Archives. \"Archaia's handling of Jim Henson properties over the last few years has been nothing short of breathtaking...and their adaptation of his Storyteller series has been no exception.\" IGN \"[The Storyteller: Witches] will grab at that bit of your soul that craves a good story and lavish it with a spirit and richness unlike anything else on the stands.\" Talking Comic Books
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