Tootfinder

how did smoke alarm companies engineer them to only start malfunctioning when you're trying to sleep

"Ed Miliband says Labour will ‘win fight’ against UK net zero critics"
#UK #UnitedKingdom #NetZero #Climate

Triangular and tetrahedral number differences of sumset sizes in additive number theory
Melvyn B. Nathanson
https://arxiv.org/abs/2506.15015 https://

Triangular and tetrahedral number differences of sumset sizes in additive number theory
The study of sums of finite sets of integers has mostly concentrated on sets with very small sumsets (Freiman's theorem and related work) and on sets with very large sumsets (Sidon sets and $B_h$-sets). This paper considers the full range of sumset sizes of finite sets of integers and an unexpected pattern (related to the triangular and tetrahedral numbers) that appears in the distribution of popular sumset sizes of sets of size 4.

Don't Leave Me This Way (ORIGINAL) by Harold Melvin & The Blue Notes, Teddy Pendergrass 1975 #PlayItLoudPlayItProud :-)

Statement from CND opposing Starmer/Miliband's #nuclear power plans, noting,
a) uranium is imported, b) Sizesell & SMRs are intested designs, c) the link to nuclear weapons of mass destruction.
"Government’s nuclear power roll out is about building up its weapons programme" - #CND…

Government’s nuclear power roll out is about building up its weapons programme - CND
The government’s announcement to pour billions of pounds into Sizewell C and roll out untested small modular reactor (SMR) nuclear plants is about building up its nuclear weapons programme rather than securing energy self-sufficiency.

Discrimination of neutron-$\gamma$ in the low energy regime using machine learning for an EJ-276D plastic scintillator
S. Panda (a,b), P. K. Netrakanti (a), S. P. Behera (a,b), R. R. Sahu (a), K. Kumar (a,b), R. Sehgal (a), D. K. Mishra (a,b), V. Jha (a,b)
https://arxiv.org/abs/2506.13802

Discrimination of neutron-$γ$ in the low energy regime using machine learning for an EJ-276D plastic scintillator
In this work, we present results for discrimination of neutron and $γ$ events using a plastic scintillator detector with pulse shape discrimination capabilities. Machine learning (ML) algorithms are used to improve the discriminatory power between neutron and $γ$ events at lower energy ranges which otherwise are not addressed by the conventional pulse shape discrimination techniques. The use of a multilayer perceptron with Bayesian inference (MLPBNN) and support vector machine (SVM) algorithm…

Predicting the response of structurally altered and asymmetrical networks
Melvyn Tyloo
https://arxiv.org/abs/2506.14609 https://arxiv…

Predicting the response of structurally altered and asymmetrical networks
We investigate how the response of coupled dynamical systems is modified due to a structural alteration of the interaction. The majority of the literature focuses on additive perturbations and symmetrical interaction networks. Here, we consider the challenging problem of multiplicative perturbations and asymmetrical interaction coupling. We introduce a framework to approximate the averaged response at each network node for general structural perturbations, including non-normal and asymmetrical …

🇺🇦 Auf radioeins läuft...
Miley Cyrus:
🎵 Malibu
#NowPlaying #MileyCyrus
https://ritualmourning.bandcamp.com/track/miley-cyrus-malibu-malibummer-rm-mix
https://open.spotify.com/track/1UZOjK1BwmwWU14Erba9CZ

Critics give @markhamillofficial.bsky.social two thumbs up for his BAFTA Awards wardrobe malfunction.
(taken from The Late Show With Stephen Colbert)
#StarWars #funny #markhamill

Out of Tune: Demystifying Noise-Effects on Quantum Fourier Models
Maja Franz, Melvin Strobl, Leonid Chaichenets, Eileen Kuehn, Achim Streit, Wolfgang Mauerer
https://arxiv.org/abs/2506.09527

Out of Tune: Demystifying Noise-Effects on Quantum Fourier Models
The field of variational quantum algorithms, in particular quantum machine learning (QML), produced numerous theoretical and empirical insights in recent years. As variational quantum circuits (VQCs) can be represented by Fourier series that contain an exponentially large spectrum in the number of input features, hope for quantum advantage remains. Nevertheless, properties of quantum Fourier models (QFMs) are not yet fully understood, in particular how they could potentially outperform classica…