Tootfinder

A flock of blue-and-yellow tanagers is sitting in the tree outside, flying back and forth to a privet to load up on food.

Repurposing an old fileserver as another backup server using #TrueNAS… First, I want to pull out any disks with reallocated sectors. Most disks are more than 5 years old and my plan is to replace future failing HDDs with larger ones. As an appliance, TrueNAS is not meant for low-level tinkering. The GUI only shows actual uncorrected sectors as SMART errors and has no way to light up a disk slot o…

Audio-Thinker: Guiding Audio Language Model When and How to Think via Reinforcement Learning
Shu Wu, Chenxing Li, Wenfu Wang, Hao Zhang, Hualei Wang, Meng Yu, Dong Yu
https://arxiv.org/abs/2508.08039

Audio-Thinker: Guiding Audio Language Model When and How to Think via Reinforcement Learning
Recent advancements in large language models, multimodal large language models, and large audio language models (LALMs) have significantly improved their reasoning capabilities through reinforcement learning with rule-based rewards. However, the explicit reasoning process has yet to show significant benefits for audio question answering, and effectively leveraging deep reasoning remains an open challenge, with LALMs still falling short of human-level auditory-language reasoning. To address thes…

After airport chaos, tanker blast, Putin fires Russian transport minister: https://benborges.xyz/2025/07/07/after-airport-chaos-tanker-blast.html

Tanker om utvikling av KI-retningslinjer for norsk film – fredsnotes https://filmschoolteacher.info/fredsnotes/2025/08/03/tanker-om-utvikling-av-ki-retningslinjer-for-norsk-film/

This #GiffordFire screenshot gives a good sense of the sheer scale...notice the C-130 tanker drop.

A Nonparallel Support Tensor Machine for Binary Classification based Large Margin Distribution and Iterative Optimization
Zhuolin Du, Yisheng Song
https://arxiv.org/abs/2507.13012

A Nonparallel Support Tensor Machine for Binary Classification based Large Margin Distribution and Iterative Optimization
Based on the tensor-based large margin distribution and the nonparallel support tensor machine, we establish a novel classifier for binary classification problem in this paper, termed the Large Margin Distribution based NonParallel Support Tensor Machine (LDM-NPSTM). The proposed classifier has the following advantages: First, it utilizes tensor data as training samples, which helps to comprehensively preserve the inherent structural information of high-dimensional data, thereby improving class…

Clinical test cases for model-based dose calculation algorithm commissioning, QA and benchmarking, for 192Ir HDR brachytherapy of gynecologic cancers
V. Peppa, M. Robitaille, F. Akbari, S. A. Enger, R. M. Thomson, F. Mourtada, G. P. Fonseca
https://arxiv.org/abs/2507.05144

Clinical test cases for model-based dose calculation algorithm commissioning, QA and benchmarking, for 192Ir HDR brachytherapy of gynecologic cancers
Purpose: To develop clinically relevant test cases for commissioning Model-Based Dose Calculation Algorithms (MBDCAs) for 192Ir High Dose Rate (HDR) gynecologic brachytherapy following the workflow proposed by the TG-186 report and the WGDCAB report 372. Acquisition and Validation Methods: Two cervical cancer intracavitary HDR brachytherapy patient models were created, using either uniformly structured regions or realistic segmentation. The computed tomography (CT) images of the models were con…

Testing a Computed Tomography Imaging Spectrometer for Earth Observations on the HEIMDAL Stratospheric Balloon Mission
Mads Juul Ahleb{\ae}k, Albertino Antonio Almeida Bach, Loui Collin-Enoch, Christian Cordes, Boas Hermansson, Christian Hald Jessen, S{\o}ren Peter J{\o}rgensen, Tobias J{\o}rgensen, Viktor Ulrich Kanstrup, Laurits Tv{\ae}rmose Nielsen, Jes Enok Steinm\"uller, Mads Svanborg Peters, Jonathan Merrison, Ren\'e Lynge Eriksen, Christoffer Karoff, Mads Toudal Frandse…

Testing a Computed Tomography Imaging Spectrometer for Earth Observations on the HEIMDAL Stratospheric Balloon Mission
Stratospheric High Altitude Balloons (HABs) have great potential as a remote sensing platform for Earth Observations that complements orbiting satellites and low flying drones. At altitudes between 20-35 kms, HABs operate significantly closer to ground than orbiting satellites, but significantly higher than most drones. HABs therefore offer a unique potential to deliver high spatial resolution imaging with large area coverage. Another two imaging parameters that are important for Earth Observat…

Thermal scalar field stress tensor on a two dimensional black hole and its near horizon properties
Saurav Samanta, Bibhas Ranjan Majhi
https://arxiv.org/abs/2507.11174

Thermal scalar field stress tensor on a two dimensional black hole and its near horizon properties
We calculate the thermal renormalized energy-momentum tensor components of a massless scalar field, leading to trace anomaly, on a $(1+1)$ dimensional static black hole spacetime. Using these, the energy density and flux, seen by both static and freely-falling observers, are evaluated. Interestingly for both these observers the aforementioned quantities in Unruh and Boulware vacua are finite at the horizon when the scalar field is in thermal equilibrium with the horizon temperature (given by th…