Tootfinder

President Trump reveals what he really wants his legacy to be after he leaves office (Ryan King/New York Post)
https://nypost.com/2025/07/13/us-news/president-trump-reveals-what-he-really-wants-his-legacy-to-be-after-he-leaves-office/
http://www.memeorandum.com/250713/p44#a250713p44

The moment Putin walks into the negotiating room, he has gotten everything he wants
— plus an opportunity to make a quip about Alaska as historically Russian land
(consider this a prediction).
If the meeting does not produce an agreement, Putin loses nothing.
Trump, on the other hand, would lose face if he walked out empty-handed.
He may be motivated to accept something, anything.

Opinion | Trump Is Giving Putin a Most Wonderful Gift
There is something Putin cares about more than money.

Ich erinnere mich wie @… mir das mal versucht hat zu erklären, irgendwo zeitlich bei Command and Conquer Tiberian Sun, Shuttlebussen zur Dorfdisco Capitol und meinem ersten Kuss. 512 MB waren damals ein normaler MP3-Speicher, glaube ich und Ingo hatte nen Minidiscplayer und -brenner.
…meine Lernkurve ist diesbezüglich flach geblieben, befürchte ich.
…

Beyond Random Sampling: Instance Quality-Based Data Partitioning via Item Response Theory
Lucas Cardoso, Vitor Santos, Jos\'e Ribeiro Filho, Ricardo Prud\^encio, Regiane Kawasaki, Ronnie Alves
https://arxiv.org/abs/2508.10628

Beyond Random Sampling: Instance Quality-Based Data Partitioning via Item Response Theory
Robust validation of Machine Learning (ML) models is essential, but traditional data partitioning approaches often ignore the intrinsic quality of each instance. This study proposes the use of Item Response Theory (IRT) parameters to characterize and guide the partitioning of datasets in the model validation stage. The impact of IRT-informed partitioning strategies on the performance of several ML models in four tabular datasets was evaluated. The results obtained demonstrate that IRT reveals a…

Optimum 1-Step Majority-Logic Decoding of Binary Reed-Muller Codes
Hoang Ly, Emina Soljanin
https://arxiv.org/abs/2508.08736 https://arxiv.org/pdf/2508.087…

Optimum 1-Step Majority-Logic Decoding of Binary Reed-Muller Codes
The classical majority-logic decoder proposed by Reed for Reed-Muller codes RM(r, m) of order r and length 2^m, unfolds in r+1 sequential steps, decoding message symbols from highest to lowest degree. Several follow-up decoding algorithms reduced the number of steps, but for a limited set of parameters, or at the expense of reduced performance, or relying on the existence of some combinatorial structures. We show that any one-step majority-logic decoder-that is, a decoder performing all majorit…

Membrane: A Cryptographic Access Control System for Data Lakes
Sam Kumar, Samyukta Yagati, Conor Power, David E. Culler, Raluca Ada Popa
https://arxiv.org/abs/2509.08740 https:/…

Membrane: A Cryptographic Access Control System for Data Lakes
Organizations use data lakes to store and analyze sensitive data. But hackers may compromise data lake storage to bypass access controls and access sensitive data. To address this, we propose Membrane, a system that (1) cryptographically enforces data-dependent access control views over a data lake, (2) without restricting the analytical queries data scientists can run. We observe that data lakes, unlike DBMSes, disaggregate computation and storage into separate trust domains, making at-rest en…

"You can be exposed to PFAS through food, water, even swimming in lakes"
#PFAS #ForeverChemicals #Health

You can be exposed to PFAS through food, water, even swimming in lakes
Since the 1940s, companies have been using PFAS—perfluoroalkyl and polyfluoroalkyl substances—to make products easier to use, from Teflon nonstick pots to waterproof rain gear, stain-resistant carpet and firefighting foam.

Replaced article(s) found for cs.LO. https://arxiv.org/list/cs.LO/new
[1/1]:
- Coinductive Streams in Monoidal Categories
Elena Di Lavore, Giovanni de Felice, Mario Rom\'an

Lightning Prediction under Uncertainty: DeepLight with Hazy Loss
Md Sultanul Arifin, Abu Nowshed Sakib, Yeasir Rayhan, Tanzima Hashem
https://arxiv.org/abs/2508.07428 https://…

Lightning Prediction under Uncertainty: DeepLight with Hazy Loss
Lightning, a common feature of severe meteorological conditions, poses significant risks, from direct human injuries to substantial economic losses. These risks are further exacerbated by climate change. Early and accurate prediction of lightning would enable preventive measures to safeguard people, protect property, and minimize economic losses. In this paper, we present DeepLight, a novel deep learning architecture for predicting lightning occurrences. Existing prediction models face several …

Trump Org set to lose bid to run iconic Central Park skating rink (Emily Ngo/Politico)
https://www.politico.com/news/2025/09/10/trump-organization-loses-bid-skating-rink-00556328
http://www.memeorandum.com/250910/p161#a250910p161