Tootfinder

OK coffee snobs, let’s say we were convinced that it’s worth it to pay $1800-$2500 for a Miele coffee machine. At that price range, is that a good one? what you recommend (it was like this one): https://www.miele.ca/en/Shop/products/deta

Great synopsis of WHAT WENT SO DISASTEROUSLY WRONG with Star Wars "The Acolyte".
Hint: It wasn't production, executive notes or even the writing... which was in fact embarrassing.
▶️ The Failure of The Acolyte... 1 Year Later - Goldman
https://youtube.com/watch?v=JhNgNtERUg

#Moore bedecken nur etwa 3 bis 4 % der Erdoberfläche, speichern aber mehr #Kohlenstoff als alle #Wälder zusammen.
Doch viele Moore sind bedroht. Durch

World Peatland Day: Protecting a crucial carbon sink
Peatlands are one of the world’s biggest carbon sinks. These naturally waterlogged boggy swamps can hold thousands of years’ worth of compressed, partially decomposed vegetation matter — despite covering just 3-4% of Earth’s land surface, they’re thought to store more carbon per area than the world’s forests combined. In honor of World Peatland Day on […]

as_skitter: Skitter IP graph (2005)
An aggregate snapshot of the Internet Protocol (IP) graph, as measured by the traceroute tool on CAIDA's skitter infrastructure, in 2005.
This network has 1696415 nodes and 11095298 edges.
Tags: Technological, Communication, Unweighted
https://networks.skewed.de/net/as_s…

Commanders predicted to sign 27-year-old former Raiders cornerback https://www.sportingnews.com/us/nfl/las-vegas-raiders/news/commanders-predicted-sign-former-raiders-cornerback-jack-jones…

DuAL-Net: A Hybrid Framework for Alzheimer's Disease Prediction from Whole-Genome Sequencing via Local SNP Windows and Global Annotations
Eun Hye Lee, Taeho Jo
https://arxiv.org/abs/2506.00673

DuAL-Net: A Hybrid Framework for Alzheimer's Disease Prediction from Whole-Genome Sequencing via Local SNP Windows and Global Annotations
Alzheimer's disease (AD) dementia is the most common form of dementia. With the emergence of disease-modifying therapies, predicting disease risk before symptom onset has become critical. We introduce DuAL-Net, a hybrid deep learning framework for AD dementia prediction using whole genome sequencing (WGS) data. DuAL-Net integrates two components: local probability modeling, which segments the genome into non-overlapping windows, and global annotation-based modeling, which annotates SNPs and reo…

wiki_talk: Wikipedia talk networks
Interactions among users of 10 language-specific Wikipedias: Arabic, Chinese, Dutch, English, French, German, Italian, Portuguese, Russian, and Spanish. Nodes are registered wiki editors, and an edge represents a user i having written a message on user j's talk page. Edges are timestamped. The precise dates of the snapshots are uncertain.
This network has 41424 nodes and 73900 edges.
Tags: Social, Communication, Unweighted, Multigraph,…

Privacy-Preserving Inconsistency Measurement
Carl Corea, Timotheus Kampik, Nico Potyka
https://arxiv.org/abs/2505.23825 https://arxiv…

Privacy-Preserving Inconsistency Measurement
We investigate a new form of (privacy-preserving) inconsistency measurement for multi-party communication. Intuitively, for two knowledge bases K_A, K_B (of two agents A, B), our results allow to quantitatively assess the degree of inconsistency for K_A U K_B without having to reveal the actual contents of the knowledge bases. Using secure multi-party computation (SMPC) and cryptographic protocols, we develop two concrete methods for this use-case and show that they satisfy important properties…

Deep learning of thermodynamic laws from microscopic dynamics
Hiroto Kuroyanagi, Tatsuro Yuge
https://arxiv.org/abs/2506.01506 https://

Deep learning of thermodynamic laws from microscopic dynamics
We numerically show that a deep neural network (DNN) can learn macroscopic thermodynamic laws purely from microscopic data. Using molecular dynamics simulations, we generate the data of snapshot images of gas particles undergoing adiabatic processes. We train a DNN to determine the temporal order of input image pairs. We observe that the trained network induces an order relation between states consistent with adiabatic accessibility, satisfying the axioms of thermodynamics. Furthermore, the int…