The dynamic footer of my website has been powered by a little aggregation of some of my personal data for about 5 1/2 years by now. Until recently, all the data related to my activity and physiology (steps, heart rate, sleep, body) came from an Oura Ring.
Retomando el hilo de la entrada anterior, en esta entrada explicaré cómo funcionan los botones función «+L[acuna]/A[bsentia]», «+F[olio]» y «Export wit[ness]» de ChrysoCollate. El primero es un botón bastante útil porque permite marcar errores por omisión: lagunas textuales y pasajes ausentes en un testimonio en el documento que se está colacionando.
+++ re:publica 2024 +++ Offene KI in der Bildung +++ Helmholtz Open Science zu Open Hardware +++ Bildethik und Open Access +++ Hybride Ringvorlesungen +++ Ausgewählte Veranstaltungen im Berliner Raum und online zu Open Research in Wissenschaft und Kulturerbeeinrichtungen
Introduction On August 21, 2022, we made available the first version of our dataset of scholars on Twitter created with two open data sources: Crossref Event Data and OpenAlex.
Lars Bjørnshauge is the visionary founder of the Directory of Open Access Journals (DOAJ). His transformation of a simple idea into a globally trusted directory revolutionized the accessibility and credibility of open access publishing. Under his leadership, DOAJ became a critical resource, supporting the dissemination of scholarly work worldwide and setting high standards for transparency in publishing.
Previously, I took advantage of a dataset that linked preprints to their published counterparts to look at the fraction of papers in a journal that are preprinted. This linkage can be used to answer other interesting questions. Such as: when do authors preprint their papers relative to submission? And does this differ by journal? There’s a bit of preamble. If you just want to know the answer, click here.
The Rogue Scholar science blog archive is built with Open Source software, starting with Javascript in June 2023 and adding an API written in Python in October 2023. This week I am releasing the first version of commonmeta written in Go to simplify the Rogue Scholar backend.
Latest findings in pre-training graphs and using them for link recommendation Author · Xuzeng He ( ORCID: 0009–0005–7317–7426) Introduction A graph, in short, is a description of items linked by relations, where the items of a graph are called nodes (or vertices) and their relations are called edges (or links). Examples of graphs can include social networks (e.g. Instagram) or knowledge graphs (e.g. Wikipedia). In Instagram
Exploring the Potential of Temporal Feature-Logic Embedding (TFLEX) in Complex Query Resolution Author · Vaibhav Khobragade ( ORCID: 0009–0009–8807–5982) Introduction Artificial intelligence (AI) and knowledge representation in the field of temporal knowledge graphs are rapidly gaining interest.
Understanding the Balance between Internal Knowledge and External Sources Author Qingqin Fang ( ORCID: 0009–0003–5348–4264) Introduction Previous research often emphasized the limitations of LLM’s information acquisition pathways, focusing on enhancing its capabilities in this regard.