Tootfinder

Seems like this should be known & studied more? Women Are More Likely to Get Drug-Resistant Infections
https://www.scientificamerican.com/article/women-are-more-likely-to-get-drug-resistant-infections/

Women Are More Likely to Get Drug-Resistant Infections
More countries must recognize how gender affects exposure to pathogens, finds a review by the World Health Organization

new_zealand_collab: New Zealand scientific collaborations (2015)
A network of scientific collaborations among institutions in New Zealand. Nodes are institutions (universities, organizations, etc.), and two nodes i,j are connected if Scopus lists at least one publication with authors at institutions i and j, in the period 2010-2015. Edges are weighted by the number of such collaborations. Nodes are annotated with the categorical type of institution.
This network has 1511 nodes an…

Core Scientific rejects CoreWeave's $1B buyout offer, worth $5.75 per share, saying the deal undervalues the company; CORZ had jumped ~40% on the buyout news (Parikshit Mishra/CoinDesk)
https://www.coindesk.com/business/2024/06/…

And yes. I am currently sititng on my hands and breathing deeply before answering yet another one...
The thing is, I think for the scientific colleagues in question, they have no clue how patronising this sounds to me.
Anyway, I shall continue my unpacking after coming home late last night from "working on scientific problems alongside local communities in Greenland" And maybe take it on Monday.

"A journal veracity–diligence index" #AcademicPublishing

Maximum Likelihood Identification of Uncontrollable Linear Time-Invariant Models for Offset-Free Control
Steven J. Kuntz, James B. Rawlings
https://arxiv.org/abs/2406.03760

Maximum Likelihood Identification of Uncontrollable Linear Time-Invariant Models for Offset-Free Control
Maximum likelihood identification of linear time-invariant models is a difficult problem because it is, in general, a nonlinear semidefinite program, with semidefinite covariance matrix arguments and semidefinite filter stability constraints. To enforce filter stability, we establish a general theory of closed constraints on the system eigenvalues using LMI regions. To solve the identification problem, we employ a Cholesky factorization method that reduces the semidefinite program to a standard…

Automatically detecting scientific political science texts from a large general document index
Nina Smirnova
https://arxiv.org/abs/2406.03067 https://

Automatically detecting scientific political science texts from a large general document index
This technical report outlines the filtering approach applied to the collection of the Bielefeld Academic Search Engine (BASE) data to extract articles from the political science domain. We combined hard and soft filters to address entries with different available metadata, e.g. title, abstract or keywords. The hard filter is a weighted keyword-based filter approach. The soft filter uses a multilingual BERT-based classification model, trained to detect scientific articles from the political sci…

Have just been sent a link to something called Aria (Advanced Research and Integration Agency - a UK research funding body) and my main thoughts based on their website is what on earth is this thing?
Some kind of weird techbro/ Californisation of scientific funding infrastructure?
https://www.aria.org.uk

arxiv_authors: Arxiv authors (1993-2003)
Scientific collaborations between authors of papers submitted to arxiv.org, under 5 categories: gr-qc, astro-ph, cond-mat, hep-ph, and hep-th categories, spanning January 1993 to April 2003. If an author i co-authored a paper with author j, the graph contains a undirected edge from i to j. If the paper is co-authored by k authors this generates a completely connected (sub)graph on k nodes.
This network has 68746 nodes and 51971 edges.

arxiv_authors: Arxiv authors (1993-2003)
Scientific collaborations between authors of papers submitted to arxiv.org, under 5 categories: gr-qc, astro-ph, cond-mat, hep-ph, and hep-th categories, spanning January 1993 to April 2003. If an author i co-authored a paper with author j, the graph contains a undirected edge from i to j. If the paper is co-authored by k authors this generates a completely connected (sub)graph on k nodes.
This network has 68746 nodes and 51971 edges.