Tootfinder

This https://arxiv.org/abs/2309.04190 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

SegmentAnything helps microscopy images based automatic and quantitative organoid detection and analysis
Organoids are self-organized 3D cell clusters that closely mimic the architecture and function of in vivo tissues and organs. Quantification of organoid morphology helps in studying organ development, drug discovery, and toxicity assessment. Recent microscopy techniques provide a potent tool to acquire organoid morphology features, but manual image analysis remains a labor and time-intensive process. Thus, this paper proposes a comprehensive pipeline for microscopy analysis that leverages the S…

Today offered yet more evidence that🔸 Biden’s rejection of the Republicans’ supply-side economics🔸
-- in favor of investing in ordinary Americans
-- is paying off with #high #growth, #low

April 5, 2024
Today offered yet more evidence that Biden’s rejection of the Republicans’ supply-side economics in favor of investing in ordinary Americans is paying off with high growth, low unemployment, and strong wages. Today’s jobs report from the U.S. Department of Labor for the month of March showed higher job growth than analysts anticipated. Instead of the 214,000 jobs expected, the U.S. added 303,000. The government also revised its estimate of job growth in January and February upward by a co…

The Future of Office and Administrative Support Occupations in the Era of Artificial Intelligence: A Bibliometric Analysis
Priyadarshini R. Pennathur, Valerie Boksa, Arunkumar Pennathur, Andrew Kusiak, Beth Livingston
https://arxiv.org/abs/2405.03808

The Future of Office and Administrative Support Occupations in the Era of Artificial Intelligence: A Bibliometric Analysis
The U.S. Bureau of Labor Statistics projects that by the year 2029, the United States will lose a million jobs in the office and administrative support occupations because technology, automation, and artificial intelligence (AI) have the potential to substitute or replace the office and administrative functions performed by office workers. Despite the potential impact AI will have on office work and the important role office workers play in the American economy, we have limited knowledge of the…

«Sarebbe più opportuno spiegare che, di fatto, non esiste un mercato “libero” e nemmeno uno “tutelato” quando il prezzo, per l’85-90% è fissato dai mercati finanziari, da Arera per il trasporto e la distribuzione e dal governo per quanto riguarda l’erario. [...]
«[...] le vere ragioni di un costo eccessivo [...] sono dovute proprio al governo Meloni, che dal maggio 2023 ha pensato bene di ripristinare gli oneri di sistema, fissati in negativo dal precedente esecutivo, e aumentare l’Iva…

"Bollette pazze" di luce e gas: ma è davvero colpa del "mercato libero"?
Le tariffe elevate dell'energia vengono attribuite alla fine della "maggior tutela". Eppure il prezzo del gas è fissato per l'85-90% dai mercati finanziari, da Arera e dalle imposte (aumentate dal governo). Per tutelare davvero i consumatori gli andrebbe spiegato come non funziona il meccanismo. L'analisi di Remo Valsecchi

"Labour’s cash from private donors now dwarfs donations from unions, while the Tories got their biggest bung ever." Where Labour and the Tories got their money from in 2023: https://www.opendemocracy.net/en/dark-mone

Optimality-based reward learning with applications to toxicology
Samuel J. Weisenthal, Matthew Eckard, Askhan Ertefaie, Marissa Sobolewski, Sally W. Thurston
https://arxiv.org/abs/2404.04406

Optimality-based reward learning with applications to toxicology
In toxicology research, experiments are often conducted to determine the effect of toxicant exposure on the behavior of mice, where mice are randomized to receive the toxicant or not. In particular, in fixed interval experiments, one provides a mouse reinforcers (e.g., a food pellet), contingent upon some action taken by the mouse (e.g., a press of a lever), but the reinforcers are only provided after fixed time intervals. Often, to analyze fixed interval experiments, one specifies and then est…

Cases of dysentery and Weil’s disease are soaring, and marine species are “full of cocaine, amphetamines and MDMA” due to sewage dumping. #ToryBritain #PlagueIsland

Mining patterns in syntax trees to automate code reviews of student solutions for programming exercises
Charlotte Van Petegem, Kasper Demeyere, Rien Maertens, Niko Strijbol, Bram De Wever, Bart Mesuere, Peter Dawyndt
https://arxiv.org/abs/2405.01579

Mining patterns in syntax trees to automate code reviews of student solutions for programming exercises
In programming education, providing manual feedback is essential but labour-intensive, posing challenges in consistency and timeliness. We introduce ECHO, a machine learning method to automate the reuse of feedback in educational code reviews by analysing patterns in abstract syntax trees. This study investigates two primary questions: whether ECHO can predict feedback annotations to specific lines of student code based on previously added annotations by human reviewers (RQ1), and whether its t…

Amazon, SpaceX, Starbucks and Trader Joe’s have all responded to allegations that they have violated labor laws with the same bold argument. The National Labor Relations Board, they assert in several ongoing legal proceedings, is unconstitutional.
SpaceX, for example, says that the NLRB is engaging in “an unlawful attempt … to subject Space X to an administrative proceeding whose structure violates Article II, the Fifth Amendment, and the Seventh Amendment of the Constitution of the Uni…

Amazon, SpaceX And Others Are Arguing That The NLRB Is Actually Unconstitutional
This article is part of TPM Cafe, TPM’s home for opinion and news analysis. It was originally published at The Conversation. Amazon, SpaceX, Starbucks and Trader Joe’s have all responded to…

"Labour’s cash from private donors now dwarfs donations from unions, while the Tories got their biggest bung ever." Where Labour and the Tories got their money from in 2023: https://www.opendemocracy.net/en/dark-mone