Tootfinder

Anticipating Decoherence: a Predictive Framework for Enhancing Coherence in Quantum Emitters
Pranshu Maan, Yuheng Chen, Sean Borneman, Benjamin Lawrie, Alexander Puretzky, Hadiseh Alaeian, Alexandra Boltasseva, Vladimir M. Shalaev, Alexander V. Kildishev
https://arxiv.org/abs/2508.02638

Anticipating Decoherence: a Predictive Framework for Enhancing Coherence in Quantum Emitters
Large-scale quantum systems require optical coherence between distant quantum devices, necessitating spectral indistinguishability. Scalable solid-state platforms offer promising routes to this goal. However, environmental disorders, including dephasing, spectral diffusion, and spin-bath interactions, influence the emitters' spectra and deteriorate the coherence. Using statistical theory, we identify correlations in spectral diffusion from slowly varying environmental coupling, revealing predic…

Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: "One Map, Many Trials" in Satellite-Driven Poverty Analysis
Markus Pettersson, Connor T. Jerzak, Adel Daoud
https://arxiv.org/abs/2508.01341

Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: "One Map, Many Trials" in Satellite-Driven Poverty Analysis
Machine learning models trained on Earth observation data, such as satellite imagery, have demonstrated significant promise in predicting household-level wealth indices, enabling the creation of high-resolution wealth maps that can be leveraged across multiple causal trials. However, because standard training objectives prioritize overall predictive accuracy, these predictions inherently suffer from shrinkage toward the mean, leading to attenuated estimates of causal treatment effects and limit…

As Russia wages its full-scale war against Ukraine, one of its most important missile plants is quietly expanding -- bypassing international sanctions.
The Votkinsk Plant, also known as the Votkinskiy Plant,
— a strategic, state-owned facility serving Russia’s nuclear forces
— has hired thousands of new workers,
added new buildings,
and brought in advanced machinery to significantly increase its missile production.
Ukrainians have felt it firsthand.
Is…

Investigation: Russia expands strategic plant producing ICBMs — with China’s help
Key findings: * Despite international sanctions, Russia's strategic missile plant was able to import complex machinery to dramatically increase missile production. * The Kyiv Independent has identified the equipment supplied to the plant, as well as the supply chains, mostly from China. * We located the plant's new premises, built to house the new machinery. * We obtained a document confirming that the plant received an order to produce intercontinental missiles capable of reaching the U.S.

Neuronal avalanches as a predictive biomarker of BCI performance: towards a tool to guide tailored training program
Camilla Mannino (NERV), Pierpaolo Sorrentino (INS), Mario Chavez (NERV), Marie-Costance Corsi (NERV)
https://arxiv.org/abs/2506.04745

Neuronal avalanches as a predictive biomarker of BCI performance: towards a tool to guide tailored training program
Brain-Computer Interfaces (BCIs) based on motor imagery (MI) hold promise for restoring control in individuals with motor impairments. However, up to 30% of users remain unable to effectively use BCIs-a phenomenon termed ''BCI inefficiency.'' This study addresses a major limitation in current BCI training protocols: the use of fixed-length training paradigms that ignore individual learning variability. We propose a novel approach that leverages neuronal avalanches-spatiotemporal cascades of bra…

Discrete Element Parameter Calibration of Livestock Salt Based on Particle Scaling
Lulu Nie, Baoqin Wen, Jingbin Li, Shufeng Li, Yali Li, Zhaokun Zhang, Zhiyuan Wang, Zhihao Fan
https://arxiv.org/abs/2506.03786

Discrete Element Parameter Calibration of Livestock Salt Based on Particle Scaling
In order to obtain accurate contact parameters for the discrete element simulation of salt particles used in animal husbandry, the principle of particle contact scaling and dimensional analysis were used for particle scaling. Firstly, the Plackett Burman experiment was used to screen the parameters that significantly affect the angle of repose: salt salt rolling friction coefficient, salt salt recovery coefficient, and salt steel rolling friction coefficient. Considering the influence of other …

FPF Unveils Paper on State Data Minimization Trends
https://fpf.org/blog/fpf-unveils-paper-on-state-data-minimization-trends/
@…

Supervised Dynamic Dimension Reduction with Deep Neural Network
Zhanye Luo, Yuefeng Han, Xiufan Yu
https://arxiv.org/abs/2508.03546 https://arxiv.org/pdf/2…

Supervised Dynamic Dimension Reduction with Deep Neural Network
This paper studies the problem of dimension reduction, tailored to improving time series forecasting with high-dimensional predictors. We propose a novel Supervised Deep Dynamic Principal component analysis (SDDP) framework that incorporates the target variable and lagged observations into the factor extraction process. Assisted by a temporal neural network, we construct target-aware predictors by scaling the original predictors in a supervised manner, with larger weights assigned to predictors…

Fellow citizens: What are you going to do between now and July 4, 2026, to protect and preserve our independence from a tinpot dictator❓
So, fellow citizens, I ask you:
Bow down to authoritarianism and normalize anti-democratic behavior.
Or
Reflect on the challenges facing the nation and become an advocate for policies that align with liberty, freedom, sovereignty, democracy, and the principles enshrined in the U.S. Constitution.
This is your America. The choice …

Give Me Liberty or a Tinpot Dictator
Peggy Noonan has been a voice of conservative reflection for The Wall Street Journal since leaving the Ronald Reagan administration as his primary speechwriter. Five of Noonan’s books have been New York Times bestsellers. Consuming every word of her weekly column keeps me politically balanced.In her...