Tootfinder

Manufacturing employment has been falling since April,
and job growth is slower than it was between January 2024 and August 2024.
The timing of the manufacturing declines corresponds with the Trump administration’s disastrous tariff policies,
which are projected to cost American households $2,400 annually.
Since Donald Trump’s tariff announcement in April 2025,
overall manufacturing employment has declined by 42,000,
while job openings and hires have fall…

Seems like old news now, but war.gov arrives
https://mastodon.social/@botgov/115158020378882617

Mass evacuations in flood-hit Punjab hit 300,000 following alerts by India https://news.mongabay.com/short-article/2025/09/mass-evacuations-in-flood-hit-punjab-hit-300000-following-alerts-by-india/

Mass evacuations in flood-hit Punjab hit 300,000 following alerts by India
SHER SHAH, Pakistan (AP) — Officials say nearly 300,000 people have been evacuated in the past 48 hours from flood-hit areas of eastern Punjab province, bringing the total number displaced since last month to 1.3 million. Authorities on Wednesday were struggling to divert overflowing rivers onto farmlands to protect major cities, as part of one […]

Hierarchically Engineered Titanium Suboxide Films for High-Efficiency Solar Thermal Conversion
Silpa S, Ann Eliza Joseph, Srinivas G, Harish C Barshilia, Vinayak B Kamble
https://arxiv.org/abs/2510.03710

Hierarchically Engineered Titanium Suboxide Films for High-Efficiency Solar Thermal Conversion
We report the development of broadband solar absorber coatings based on titanium suboxide composite thin films on aluminium substrates. The films are fabricated via scalable DC magnetron sputtering using a Ti target, followed by post-annealing in a fixed $O_2$ partial pressure of 0.45 mbar. By tuning deposition time and annealing temperature, a composite phase of $Ti_2O_3$ and $TiO_2$ was achieved. The Raman mapping of the films substantiates the distribution and coexistence of the two phases. …

Holographic Gaseous Lenses for High-Power Lasers
Devdigvijay Singh, Ke Ou, Sida Cao, Victor M. Perez-Ramirez, Harsha Rajesh, Debolina Chakraborty, Caleb Redshaw, Pelin Dedeler, Albertine Oudin, Michelle M. Wang, Julia M. Mikhailova, Livia Lancia, Caterina Riconda, Pierre Michel, Matthew R. Edwards
https://arxiv.org/abs/2510.02659

Holographic Gaseous Lenses for High-Power Lasers
The capabilities of the world's highest energy and peak-power pulsed lasers are limited by optical damage, and further advances in high-intensity laser science will require optics that are substantially more robust than existing components. We describe here the experimental demonstration of off-axis diffractive gaseous lenses capable of withstanding extreme laser fluence and immune to cumulative damage. We used less than 8 mJ of energy from interfering ultraviolet laser pulses to holographicall…

Microsoft became the second company to surpass $4T in market cap, joining Nvidia, after shares jumped 8% in after-hours trading on better-than-expected results (CNBC)
https://www.cnbc.com/2025/07/30/microsoft-market-cap-tops-4-trillion-…

Microsoft tops $4 trillion in market cap after hours, joining Nvidia in exclusive club
Based on its post-market trading, Microsoft has become the world's second $4 trillion company following quarterly earnings.

Learning Optimal Crew Dispatch for Grid Restoration Following an Earthquake
Farshad Amani, Faezeh Ardali, Amin Kargarian
https://arxiv.org/abs/2509.04308 https://

Learning Optimal Crew Dispatch for Grid Restoration Following an Earthquake
Post-disaster crew dispatch is a critical but computationally intensive task. Traditional mixed-integer linear programming methods often require minutes to several hours to compute solutions, leading to delays that hinder timely decision-making in highly dynamic restoration environments. To address this challenge, we propose a novel learning-based framework that integrates transformer architectures with deep reinforcement learning (DRL) to deliver near real-time decision support without comprom…

The ASPIICS solar coronagraph aboard the Proba-3 formation flying mission. Scientific objectives and instrument design
A. N. Zhukov, C. Thizy, D. Galano, B. Bourgoignie, L. Dolla, C. Jean, B. Nicula, S. Shestov, C. Galy, R. Rougeot, J. Versluys, J. Zender, P. Lamy, S. Fineschi, S. Gunar, B. Inhester, M. Mierla, P. Rudawy, K. Tsinganos, S. Koutchmy, R. Howard, H. Peter, S. Vives, L. Abbo, C. Aime, K. Aleksiejuk, J. Baran, U. Bak-Steslicka, A. Bemporad, D. Berghmans, D. Besliu-Ionescu, S…

The ASPIICS solar coronagraph aboard the Proba-3 formation flying mission. Scientific objectives and instrument design
We describe the scientific objectives and instrument design of the ASPIICS coronagraph launched aboard the Proba-3 mission of the European Space Agency (ESA) on 5 December 2024. Proba-3 consists of two spacecraft in a highly elliptical orbit around the Earth. One spacecraft carries the telescope, and the external occulter is mounted on the second spacecraft. The two spacecraft fly in a precise formation during 6 hours out of 19.63 hour orbit, together forming a giant solar coronagraph called AS…

Today I had to go to the dentist, to have a filling replaced. My dentist is a small young woman from Glasgow, very competent, who chats cheerily through the whole procedure.
But I was thinking of @… , a poet from #Gaza who wants to be a dentist, and wh…

Urgent help for Ahmed's family
"I’m tired, Mama. I’m thinking of the hours that I'll spend tomorrow in the water line." – says 9 year old Ahmed to his mother before going to sleep.

Analytical Framework for Evaluating Traffic Capacity Impacts of Electric Vehicles' Regenerative Braking Dynamics
Yuhang Wang, Md. Zidan Shahriar, Hao Zhou
https://arxiv.org/abs/2508.01938

Analytical Framework for Evaluating Traffic Capacity Impacts of Electric Vehicles' Regenerative Braking Dynamics
Regenerative braking (RB) significantly influences electric vehicle (EV) car-following (CF) dynamics, yet traditional traffic-flow models rarely capture these effects. We introduce a comprehensive empirical dataset comprising 197.5 hours of driving data from 25 drivers across eight EV models to systematically investigate regen-induced CF behaviors. Two primary CF patterns emerge: (i) steady-state scenarios where EVs use regenerative braking and subsequently re-accelerate to equilibrium speeds w…