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Boolean and Free Symmetrization of Bernoulli Laws
Sukrit Chakraborty
https://arxiv.org/abs/2508.17112 https://arxiv.org/pdf/2508.17112

Boolean and Free Symmetrization of Bernoulli Laws
We revisit the notion of \emph{symmetrizers} for Bernoulli random variables, originally studied in the classical convolution setting by Harremoës and Vignat \cite{HarremoesVignat2008} and later refined in Dossani \cite{Dossani2008}. In the classical case, an asymmetric Bernoulli distribution is \emph{symmetry resistant}: any independent symmetrizer must have variance at least $pq$, where $p$ is the Bernoulli parameter and $q=1-p$. We prove an analogous result for \emph{Boolean convolution}, sh…

Sollte es jemals dazu kommen, dass der Verfassungsgerichtshof über ein Verbotsverfahren der AfD zu entscheiden hätte, wollen rechte Kräfte mit aller Kraft eine unbesteckliche, kompetente Richterin verhindern, die ganz dem Grundgesetz Deutschlands verpflichtet ist.
Gerade deshalb ist sie die richtige Kandidatin für die Nachbesetzung eines vakanten Sitzes im #Verfassungsgericht. 👍

A Stability-Driven Framework for Long-Term Hourly Electricity Demand Forecasting
Soumyadeep Dhar, Ayushkumar Parmar, Haifeng Qiu, Juan Ramon L. Senga, S. Viswanathan
https://arxiv.org/abs/2507.15001

A Stability-Driven Framework for Long-Term Hourly Electricity Demand Forecasting
Long-term electricity demand forecasting is essential for grid and operations planning, as well as for the analysis and planning of energy transition strategies. However, accurate long-term load forecasting with high temporal resolution remains challenging, as most existing approaches focus on aggregated forecasts, which require accurate prediction of numerous variables for bottom-up sectoral forecasts. In this study, we propose a parsimonious methodology that employs t-tests to verify load sta…

Mooi voorbeeld wat ChatGPT prima kan , waarom Athene niet zo'n mooi stadscentrum heeft en Rome wel, alle factoren op een rijtje. Dat er wellicht kleine onbetrouwbaarheden in zitten is op vakantie geen ramp 😃
https://chatgpt.com/s/t_6890df7e038c8191b0599cbdfc821e9e

ChatGPT - Desigualdad y frustración global
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On the location of the compact infrared source in Cyg X-3
Igor I. Antokhin
https://arxiv.org/abs/2507.10598 https://arxiv.org/pdf/250…

On the location of the compact infrared source in Cyg X-3
This note complements the article on X-ray and infrared variability of the X-ray binary Cyg X-3 (WR+c), published by me and my co-authors (ApJ, v.926, p. 123, 2022). In that paper, a compact IR source was discovered in the system, located in the vicinity of the X-ray source associated with the relativistic companion. In the current note I refine the possible location of the IR source based on simple qualitative considerations.

Recovering Individual-Level Activity Sequences from Location-Based Service Data Using a Novel Transformer-Based Model
Weiyu Luo, Chenfeng Xiong
https://arxiv.org/abs/2508.02734 …

Recovering Individual-Level Activity Sequences from Location-Based Service Data Using a Novel Transformer-Based Model
Location-Based Service (LBS) data provides critical insights into human mobility, yet its sparsity often yields incomplete trip and activity sequences, making accurate inferences about trips and activities difficult. We raise a research problem: Can we use activity sequences derived from high-quality LBS data to recover incomplete activity sequences at the individual level? This study proposes a new solution, the Variable Selection Network-fused Insertion Transformer (VSNIT), integrating the In…

A new sparsity promoting residual transform operator for Lasso regression
Yao Xiao, Anne Gelb, Aditya Viswanathan
https://arxiv.org/abs/2506.22689 https://…

A new sparsity promoting residual transform operator for Lasso regression
Lasso regression is a widely employed approach within the $\ell_1$ regularization framework used to promote sparsity and recover piecewise smooth signals $f:[a,b) \rightarrow \mathbb{R}$ when the given observations are obtained from noisy, blurred, and/or incomplete data environments. In choosing the regularizing sparsity-promoting operator, it is assumed that the particular type of variability of the underlying signal, for example, piecewise constant or piecewise linear behavior across the ent…

Vacancy-Controlled Superconductivity in Rock-Salt Carbides: Towards Predictive Modelling of Real-World Superconductors
Simone Di Cataldo, William Cursio, Lilia Boeri
https://arxiv.org/abs/2506.07768

Vacancy-Controlled Superconductivity in Rock-Salt Carbides: Towards Predictive Modelling of Real-World Superconductors
We critically reexamine the superconducting properties of rock-salt transition-metal carbides (TMCs), often regarded as textbook conventional superconductors, combining first-principles electron-phonon calculations with variable-composition evolutionary structure prediction. Studying superconducting trends across the entire transition-metal series, we find that, when the rock-salt stoichiometric phase is dynamically or thermodynamically unstable, carbon-vacant structures identified through unbi…