Tootfinder

Eh les gars, presque toutes les comparaisons avec l'Allemagne sont louches. Quand on nous dit que seulement 5% d'affections longue durée dans la sécu en Allemagne contre 20% en France, ils oublient de dire que la sécu allemande rembourse 100% et non pas 70% comme en France (et 90% en Alsace/Moselle). Donc on compare des pommes et des poires. Donc, le coût de la maladie longue durée pour l'individu est totalement différent.

Budget 2026 : 20% des Français sont-ils concernés par des affections de longue durée contre 5% des Allemands,
Pour justifier certaines mesures d'économies envisagées dans le domaine de la santé, le Premier ministre a comparé des données concernant la prise en charge des malades chroniques.

Korea seems to be a new epicenter for cyberattacks, with a bunch of luxury brands, a giant telco, and now a major insurance company hit with ransomware attacks. If it were an English-speaking company, it would all seem very Scattered Spider-esque.
https://www.koreatimes.co.kr/e…

SGI scrambles to recover from ransomware attack
Seoul Guarantee Insurance (SGI) plans to operate an around-the-clock response center and compensate all losses from a recent ransomware attack, the company said Wednesday. The measures are the latest...

Do the rich pay their fair share? Enumerating the price of flying (and abolishing) premium air travel
Megan Yeo, Sebastian Nosenzo, Daniel S. Palmer, Alexei K. Varah, Lucas Woodley, Ashley Nunes
https://arxiv.org/abs/2508.12507

Do the rich pay their fair share? Enumerating the price of flying (and abolishing) premium air travel
Premium air travel is often associated with a disproportionately large carbon emissions footprint. This association reflects the increased space and amenities typically found in premium cabins that existing discourse suggests makes their carriage more fuel, and consequently carbon, intensive. One increasingly popular solution is disincentivizing the use of premium cabins in favor of all-economy cabins. How effective might such a policy be. To what extent. And how may the revenue impact affect t…

“For too many political reporters…_way_ someone makes…argument–how nice they look…erudite they sound…polite they seem – …long taken precedent over…actual argument itself.”
“…as long as…tone is cheerful…no need to examine…ugliness of…words.”
“…true reckoning w/…life & legacy of _any_ political activist–no matter where…on…spectrum–has to address…substance of their words & deeds…not just…style. Focus on exactly what they said, not how nicely they said it.”

The White Civility Council
As the nation reckons with the assassination of conservative activist Charlie Kirk, there has been a notable trend from mainstream pundits and press outlets. They have tended to downplay or outright ignore the ugly things that he said and instead to stress the polite ways he said them. It's an

Interactive framework for techno-economic meta-analysis of marine hydrogen transportation
Lucas Hanssens, Maarten Houlleberghs, Karel Van Acker, Johan A. Martensand Eric Breynaert
https://arxiv.org/abs/2508.10923

Interactive framework for techno-economic meta-analysis of marine hydrogen transportation
As a result of the wide span of uncertainties and input variables considered in recent peer-reviewed studies on hydrogen supply chains, consensus and generalized insight are hard to derive. This work presents a meta-analysis model, building upon a growing database of literature cost estimations and enabling dynamic investigation and comparison of hydrogen transportation chains under varying input scenarios. Also built into the framework is the evaluation of the impact of costing methodology and…

Early Detection of Furniture-Infesting Wood-Boring Beetles Using CNN-LSTM Networks and MFCC-Based Acoustic Features
J. M. Chan Sri Manukalpa, H. S. Bopage, W. A. M. Jayawardena, P. K. P. G. Panduwawala
https://arxiv.org/abs/2507.12793

Early Detection of Furniture-Infesting Wood-Boring Beetles Using CNN-LSTM Networks and MFCC-Based Acoustic Features
Structural pests, such as termites, pose a serious threat to wooden buildings, resulting in significant economic losses due to their hidden and progressive damage. Traditional detection methods, such as visual inspections and chemical treatments, are invasive, labor intensive, and ineffective for early stage infestations. To bridge this gap, this study proposes a non invasive deep learning based acoustic classification framework for early termite detection. We aim to develop a robust, scalable …

Replaced article(s) found for cs.LO. https://arxiv.org/list/cs.LO/new
[1/1]:
- Tractable and Intractable Entailment Problems in Separation Logic with Inductively Defined Predic...
Mnacho Echenim, Nicolas Peltier

Green Recommender Systems: Understanding and Minimizing the Carbon Footprint of AI-Powered Personalization
Lukas Wegmeth, Tobias Vente, Alan Said, Joeran Beel
https://arxiv.org/abs/2509.13001

Green Recommender Systems: Understanding and Minimizing the Carbon Footprint of AI-Powered Personalization
As global warming soars, the need to assess and reduce the environmental impact of recommender systems is becoming increasingly urgent. Despite this, the recommender systems community hardly understands, addresses, and evaluates the environmental impact of their work. In this study, we examine the environmental impact of recommender systems research by reproducing typical experimental pipelines. Based on our results, we provide guidelines for researchers and practitioners on how to minimize the…

Trump Is a Weak and Failing President, and It’s Time to Say So
Economy loses jobs for August
Donald Trump understands better than anyone else alive that his hold on his supporters
—and on plenty of swing voters, too
—depends on the mere perception that he’s strong, wins everywhere, always acts boldly, and wields absolute mastery over his eternally feckless, disoriented enemies.
Last month, after an anemic July jobs report, Trump fired the steward of jobs data,

Trump Is a Weak and Failing President, and It’s Time to Say So
It’s possible for Trump to be an inept buffoon—but still extremely dangerous. And it shouldn’t be so hard to make that case.

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 …