Tootfinder

Time-scales of polycyclic aromatic hydrocarbon and dust continuum emission from gas clouds compared to molecular gas cloud lifetimes in PHANGS-JWST galaxies
Jaeyeon Kim, M\'elanie Chevance, Lise Ramambason, Kathryn Kreckel, Ralf S. Klessen, Daniel A. Dale, Adam K. Leroy, Karin Sandstrom, Ryan Chown, Thomas G. Williams, Sumit K. Sarbadhicary, Francesco Belfiore, Frank Bigiel, Enrico Congiu, Oleg V. Egorov, Eric Emsellem, Simon C. O. Glover, Kathryn Grasha, Annie Hughes, J. M. Dieder…

Time-scales of polycyclic aromatic hydrocarbon and dust continuum emission from gas clouds compared to molecular gas cloud lifetimes in PHANGS-JWST galaxies
Recent JWST mid-infrared (mid-IR) images, tracing polycyclic aromatic hydrocarbons (PAHs) and dust continuum emission, provide detailed views of the interstellar medium (ISM) in nearby galaxies. Leveraging PHANGS-JWST Cycle 1 and PHANGS-MUSE data, we measure the PAH and dust continuum emission lifetimes of gas clouds across 17 nearby star-forming galaxies by analyzing the relative spatial distributions of mid-IR (7.7-11.3$μ$m) and H$α$ emission at various scales. We find that the mid-IR emitt…

Hummingbirds / in the summer rain at dusk / fighting.
[OK, it’s mostly just aggressive cheeping.]

Nvidia is aggressively opposing Republican-led proposals to limit AI chip sales to China, labeling supporters as "AI doomers", an unconventional lobbying blitz (New York Times)
https://www.nytimes.com/2025/09/09/technology/nvidia-china-chip-s…

Nvidia Accuses Rivals of Being A.I. Doomers as US Debates Sale of Chips to China
Rankling national security experts, the chipmaker has stepped up attacks on lawmakers who are pushing restrictions.

FedAPTA: Federated Multi-task Learning in Computing Power Networks with Adaptive Layer-wise Pruning and Task-aware Aggregation
Yachao Yuan, Zhen Yu, Jin Wang, Zhipeng Cheng, Jianhua Hu
https://arxiv.org/abs/2508.02230

FedAPTA: Federated Multi-task Learning in Computing Power Networks with Adaptive Layer-wise Pruning and Task-aware Aggregation
Federated Learning (FL) has shown considerable promise in Computing Power Networks (CPNs) for privacy protection, efficient data utilization, and dynamic collaboration. Although it offers practical benefits, applying FL in CPNs continues to encounter a major obstacle, i.e., multi-task deployment. However, existing work mainly focuses on mitigating FL's computation and communication overhead of a single task while overlooking the computing resource wastage issue of heterogeneous devices across m…

Estimating Causal Effects with Observational Data: Guidelines for Agricultural and Applied Economists
Arne Henningsen (Department of Food and Resource Economics, University of Copenhagen, Denmark), Guy Low (Business Economics Group, Wageningen University & Research, The Netherlands), David Wuepper (Institute for Food and Resource Economics, University of Bonn, Germany), Tobias Dalhaus (Business Economics Group, Wageningen University & Research, The Netherlands), Hugo Storm (Ins…

Estimating Causal Effects with Observational Data: Guidelines for Agricultural and Applied Economists
Most research questions in agricultural and applied economics are of a causal nature, i.e., how one or more variables (e.g., policies, prices, the weather) affect one or more other variables (e.g., income, crop yields, pollution). Only some of these research questions can be studied experimentally. Most empirical studies in agricultural and applied economics thus rely on observational data. However, estimating causal effects with observational data requires appropriate research designs and a tr…

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies
Dieter Coppens, Adnan Shahid, Eli De Poorter
https://arxiv.org/abs/2507.03523

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies
Despite their high accuracy, UWB-based localization systems suffer inaccuracies when deployed in industrial locations with many obstacles due to multipath effects and non-line-of-sight (NLOS) conditions. In such environments, current error mitigation approaches for time difference of arrival (TDoA) localization typically exclude NLOS links. However, this exclusion approach leads to geometric dilution of precision problems and this approach is infeasible when the majority of links are NLOS. To a…

Filing: Intel is laying off 5,000 employees across California, Oregon, Texas, and Arizona; California cuts affect 1,935, more than double the initial estimates (Nathan Owens/Manufacturing Dive)
https://www.manufacturingdive.com/news/int

Intel layoffs exceed 5,000 across US
The chipmaker more than doubled its anticipated job cuts in California, adding to its overall downsizing across four states.

When Influence Misleads: Informational and Strategic Limits of Social Learning in Trading Networks
Bijin Joseph, Christoph Riedl, Alex Pentland, Esteban Moro
https://arxiv.org/abs/2507.01817

When Influence Misleads: Informational and Strategic Limits of Social Learning in Trading Networks
Social learning is a fundamental mechanism shaping decision-making across numerous social networks, including social trading platforms. In those platforms, investors combine traditional investing with copying the behavior of others. However, the underlying factors that drive mirroring decisions and their impact on performance remain poorly understood. Using high-resolution data on trades and social interactions from a large social trading platform, we uncover a fundamental tension between popul…

PE firm Advent International agrees to acquire U-blox, a SIX Swiss Exchange-listed wireless and positioning chipmaker, for about $1.3B via public tender offer (Andrea Figueras/Wall Street Journal)
https://www.wsj.com/business/de…

SoftBank agrees to invest $2B in Intel, buying roughly 2% of Intel's outstanding shares (CNBC)
https://www.cnbc.com/2025/08/18/intel-is-getting-a-2-billion-investment-from-softbank.html

Intel is getting a $2 billion investment from SoftBank
SoftBank will pay $23 per share for Intel's common stock, acquiring roughly 2% of the struggling chipmaker.