Tootfinder

Update: The "Mountain Life" calendars are all gone (#NoirCountry

Quantum Leap in Finance: Economic Advantages, Security, and Post-Quantum Readiness
Gerhard Hellstern, Esra Yeniaras
https://arxiv.org/abs/2508.21548 https://

Quantum Leap in Finance: Economic Advantages, Security, and Post-Quantum Readiness
This paper provides an in-depth review of the evolving role of quantum computing in the financial sector, emphasizing both its computational potential and cybersecurity implications. Distinguishing itself from existing surveys, this work integrates classical quantum computing applications - such as portfolio optimization, risk analysis, derivative pricing, and Monte Carlo simulations with a thorough examination of blockchain technologies and post-quantum cryptography (PQC), which are crucial fo…

Travel Regrets: 10 European Destinations I Won't Ever Visit Again & Where To Go Instead https://www.wanderluststorytellers.com/tra

Travel Regrets: 10 European Destinations I Won't Ever Visit Again & Where To Go Instead
Read our honest take on 10 European destinations that didn't live up to the hype – and the nearby alternatives that stole our hearts.

A near real-time #bolide detection software suite ingests data from the Geostationary Lightning Mapper (GLM) instrument onboard the Geostationary Operational Environmental Satellites (GOES) and applies anomaly detection algorithms to distinguish between bolide events and the many lightning detections GLM was originally designed to characterize: https://www.usu.edu/today/story/space-dynamics-lab-shares-open-source-software-to-detect-potentially-dangerous-meteors - the GLM sensor takes 500 images of Earth every second, and StarFall analyzes the meteors’ light curves, or changes in brightness over time, as they pass through the atmosphere.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[13/17]:
- CoSteer: Collaborative Decoding-Time Personalization via Local Delta Steering
Hang Lv, Sheng Liang, Hao Wang, Hongchao Gu, Yaxiong Wu, Wei Guo, Defu Lian, Yong Liu, Enhong Chen

Moody Urbanity II 🟩
情绪化城市 II 🟩
📷 Nikon FE
🎞️ Lucky SHD 400
#filmphotography #Photography #blackandwhite

Parameter estimation of the four-parameter Harris extended Weibull distribution with applications to real-life data
Prithul Chaturvedi, Himanshu Pokhriyal
https://arxiv.org/abs/2509.26162

Parameter estimation of the four-parameter Harris extended Weibull distribution with applications to real-life data
This paper explores the extension of the classical two-parameter Weibull distribution to a four-parameter Harris extended Weibull (HEW) distribution. The flexibility of this probability distribution is illustrated by the varying shapes of HEW density function. Estimation of HEW parameters is explored using estimation methods such as the least-squares, maximum product of spacings, and minimum distance method. We provide Bayesian inference on the random parameters of the HEW distribution using Me…

Some Applications and Limitations of Convex Optimization Hierarchies for Discrete and Continuous Optimization Problems
Mrinalkanti Ghosh
https://arxiv.org/abs/2508.21327 https:/…

Some Applications and Limitations of Convex Optimization Hierarchies for Discrete and Continuous Optimization Problems
This thesis explores algorithmic applications and limitations of convex relaxation hierarchies for approximating some discrete and continuous optimization problems. - We show a dichotomy of approximability of constraint satisfaction problems (CSPs) by linear programming (LP) relaxations: for every CSP, the approximation obtained by a basic LP relaxation, is no weaker than the approximation obtained using relaxations given by super-constant levels of the Sherali-Adams hierarchy on instances of…

On the dependence of the nonlinear Schrodinger flow upon the power of the nonlinearity
R\'emi Carles (IRMAR), Quentin Chauleur (LPP), Guillaume Ferriere (LPP)
https://arxiv.org/abs/2509.26414

On the dependence of the nonlinear Schrodinger flow upon the power of the nonlinearity
We prove continuity properties for the flow map associated to the defocusing energy-subcritical power-like nonlinear Schr{ö}dinger equation, when the power varies. We show local in time continuity in the energy space for any power, and global in time continuity for sufficiently large powers. When the linear dispersive rate is counterbalanced by a time-dependent rescaling, we show a uniform in time continuity of the squared modulus of this rescaled function, in Kantorovich distance, for any pow…

Integrating AI and Ensemble Forecasting: Explainable Materials Planning with Scorecards and Trend Insights for a Large-Scale Manufacturer
Saravanan Venkatachalam
https://arxiv.org/abs/2510.01006

Integrating AI and Ensemble Forecasting: Explainable Materials Planning with Scorecards and Trend Insights for a Large-Scale Manufacturer
This paper presents a practical architecture for after-sales demand forecasting and monitoring that unifies a revenue- and cluster-aware ensemble of statistical, machine-learning, and deep-learning models with a role-driven analytics layer for scorecards and trend diagnostics. The framework ingests exogenous signals (installed base, pricing, macro indicators, life cycle, seasonality) and treats COVID-19 as a distinct regime, producing country-part forecasts with calibrated intervals. A Pareto-a…