Tootfinder

More than a dozen summer camps dot the banks of the Guadalupe River and its tributaries,
a vast network of waterways twisting through the hills of Kerr County, Texas.
But many of the camps’ idyllic locales also face the danger of severe flooding,
since much of the land near the river is designated as a high-risk area by the Federal Emergency Management Agency.
In the most affected area, on the upper Guadalupe River in Kerr County, at least 13 summer camps lie next to…

See how FEMA maps reveal camps’ flood risks
Many camps in the Guadalupe river region are adjacent or are partially inside high-risk flood zones, according to maps from the Federal Emergency Management Agency.

The South Coast Air Quality Management District will hold a public hearing Friday on two proposed regulations designed to limit key pollutants that form smog.
If adopted, the rules would phase out the sale of gas-powered furnaces and water heaters in the region.
Officials say the plan is crucial for reducing air pollution and improving public health, while opponents fear higher consumer costs.

Regulators seek to phase out gas-powered appliances in Southern California
The South Coast Air Quality Management District is poised to vote on regulations that would limit emissions of nitrogen oxides — the key pollutants that form smog.

Construction of Urban Greenland Resources Collaborative Management Platform
Dongyang Lyu, Xiaoqi Li, Zongwei Li
https://arxiv.org/abs/2506.03830 https://…

Construction of Urban Greenland Resources Collaborative Management Platform
Nowadays, environmental protection has become a global consensus. At the same time, with the rapid development of science and technology, urbanisation has become a phenomenon that has become the norm. Therefore, the urban greening management system is an essential component in protecting the urban environment. The system utilises a transparent management process known as" monitoring - early warning - response - optimisation," which enhances the tracking of greening resources, streamlines mainte…

Global Optimization of Multi-Flyby Trajectories for Multi-Orbital-Plane Constellations Inspection
An-Yi Huang, Hong-Xin Shen, Zhao Li, Cong Sun, Chao Sheng, Zheng-Zhong Kuai
https://arxiv.org/abs/2507.02943

Global Optimization of Multi-Flyby Trajectories for Multi-Orbital-Plane Constellations Inspection
The rapid expansion of mega-constellations in low Earth orbits has posed significant challenges to space traffic management, necessitating periodic inspections of satellites to ensure the sustainability of the space environment when economically feasible. This study addresses the orbital design challenge associated with inspecting numerous satellites distributed across multiple orbital planes through flybys by proposing an innovative orbital-plane-based inspection strategy. The proposed methodo…

This https://arxiv.org/abs/2506.03830 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Construction of Urban Greenland Resources Collaborative Management Platform
Nowadays, environmental protection has become a global consensus. At the same time, with the rapid development of science and technology, urbanisation has become a phenomenon that has become the norm. Therefore, the urban greening management system is an essential component in protecting the urban environment. The system utilises a transparent management process known as" monitoring - early warning - response - optimisation," which enhances the tracking of greening resources, streamlines mainte…

Deep Dive into #uv #Dockerfiles by #Astral: Image Size, Performance & Best Practices

Modelado y gemelos digitales en el contexto fotovoltaico
Franco Bertani Matung, Juan Cruz Esquembre Santamar\'ia, Ricardo R. Palma, Fabricio Orlando Sanchez Varretti
https://arxiv.org/abs/2506.12102

Modelado y gemelos digitales en el contexto fotovoltaico
The photovoltaic industry faces the challenge of optimizing the performance and management of its systems in an increasingly digitalized environment. In this context, digital twins offer an innovative solution: virtual models that replicate in real time the behavior of solar installations. This technology makes it possible to anticipate failures, improve operational efficiency and facilitate data-driven decision-making. This report analyzes its application in the photovoltaic sector, highlighti…

This https://arxiv.org/abs/2410.08850 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Learning to Stop: Deep Learning for Mean Field Optimal Stopping
Optimal stopping is a fundamental problem in optimization with applications in risk management, finance, robotics, and machine learning. We extend the standard framework to a multi-agent setting, named multi-agent optimal stopping (MAOS), where agents cooperate to make optimal stopping decisions in a finite-space, discrete-time environment. Since solving MAOS becomes computationally prohibitive as the number of agents is very large, we study the mean-field optimal stopping (MFOS) problem, obtai…