Tootfinder

Cuando ves esto por el campo no sabes si va a rescatar a alguien o es que se estš celebrando una misa negra en las proximidades https://www.reddit.com/r/Damnthatsinteresting/comments/1vbihow/this_is_threehalves_a_7_foot_tall_centaursh…

Found an issue with Risc-V ILP32E ABI in GCC today and am looking for guidance.
ILP32E stack need only be aligned to 4-bytes, however types wider than 4 bytes are listed as having wider alignment requirements in current GCC source.
So, when you take the address of an 8-byte value on the stack which is not 8-byte aligned and try to use it with -fsanitize=undefined, you get a UB fault.
Question: Is this a bug in ubsan? Or should all type alignment restrictions be relaxed unde…

Getting it right (or not) in camera
Rather than framing it as absolute stance about the role of (post)processing in photography, I'd consider "getting it right in camera" to be more a question of aspiration (in the moment), of balance (in process) and even more so a question of framing one's own intention, style and interpretation of photography as discipline, a question where one draws the line, if any, around photography as a sub-field within the much larger space of visual media/exp…

œ tugoverso, algum de vocês sabe onde costuma haver óculos de eclipse Š venda? Vamos ter um em agosto (e mais dois nos próximos anos) e apetece-me arranjar pelo menos um par.
#askfedi

#bwa upgrade: Fast genomic read alignment with minibwa
https://arxiv.org/abs/2606.15357
"It produces equivalent or slightly improved small variant calls, and more importantly, enables long-read alignmen…

Fast genomic read alignment with minibwa
Motivation: BWA-MEM remains a popular short-read mapper especially for the purpose of variant calling. Several groups have accelerated this algorithm as it has been the performance bottleneck of many current workflows. However, constrained by the original design, these drop-in replacements could only achieve limited speedup. Breaking changes to BWA-MEM are required for further improvement. Results: We developed minibwa for aligning short and accurate long reads against a reference genome. It …

Adaptive Beam Selection for Efficient Scanning Probe Tomography
San Dinh, Zichao Wendy Di, Matt Menickelly
https://arxiv.org/abs/2606.21713 https://arxiv.org/pdf/2606.21713 https://arxiv.org/html/2606.21713
arXiv:2606.21713v1 Announce Type: new
Abstract: In X-ray tomography, reconstruction quality generally improves with larger numbers of projections. However, more projections increase experiment costs, acquisition time and the radiation dose imparted to the sample. One mitigation to these trade-offs is to adopt a sequential design of experiments, in which each subsequent measurement is determined as a function of previously acquired data in order to maximize information gain. In practice, a widely used heuristic to maximize information is to align beams with the edges of the sample. A key challenge, however, is that the true sample is unknown, so identifying edge-aligned beams typically requires reconstructing the sample based on available measurements. This work proposes a novel sequential design method that identifies edge-aligned measurements directly from the sinogram, bypassing any reconstruction, thereby improving computational efficiency and reducing the experimental design's susceptibility to reconstruction errors. Our method dynamically selects the next set of measurement beams by maximizing an acquisition function that balances exploration and exploitation over the domain of all possible measurements, improving reconstruction quality while reducing measurement redundancy.
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Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers
Minghui Qiu, Jun Chen, Lin Chen, Weifeng Chen, Shuxin Zhong, Zhidan Liu, Yu Zhang, Kaishun Wu
https://arxiv.org/abs/2605.24067 https://arxiv.org/pdf/2605.24067 https://arxiv.org/html/2605.24067
arXiv:2605.24067v1 Announce Type: new
Abstract: Most nowcasting systems, built on radar reflectivity, focus on current precipitation, ignoring the atmospheric precursors -- such as low-level convergence, turbulent eddies, and latent heating -- that offer a fleeting window to foresee storm birth. We introduce MeteoLogist, a physics-inspired radar intelligence framework that models the full life cycle of convection -- from its precursors to organized storm evolution. However, exploiting these precursors is non-trivial: they originate from multiple meteorological drivers -- thermodynamic, kinematic, and microphysical -- that evolve asynchronously (C1) and remain spatially fragmented (C2). To this end, MeteoLogist designs three tightly integrated components. The Physics-Tailored Encoders process radar echoes according to their intrinsic physical scales and semantics, forming thermodynamic, kinematic, and microphysical streams that capture distinct dynamical regimes. The Temporal-Phase Aligner addresses C1 by leveraging causal temporal attention to capture when and how different drivers interact and activate. The Cross-Field Spatial Aggregator addresses C2 through cross-regional fusion, aligning weak and scattered precursors across neighboring cells to expose upstream triggers and enforce spatial coherence. Evaluated on 3D-NEXRAD (2020--2022, US-wide), MeteoLogist boosts high-impact detection (CSI40) by 9.7% over strong baselines, and achieves a remarkable 37.67% gain during the storm-developing stage -- demonstrating true foresight in sensing storms before they appear. The code can be found in the supplementary material.
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Source: Bari Weiss let Netanyahu choose Major Garrett to interview him over veteran reporter Lesley Stahl for 60 Minutes; Garrett also interviewed Pete Hegseth (Alexandra Steigrad/New York Post)
https://nypost.com/2026/05/12/media/ba…

Exclusive | Bari Weiss tapped Major Garrett for newsy ‘60 Minutes’ interview after ‘negotiation’ with Netanyahu: sources
Sources close to the situation, however, signaled that Garrett got the assignment after Weiss gave Netanyahu a say in the matter as part of a last-ditch effort to clinch the interview for the netwo…

This kernel vulnerability looks interesting to look at.
crypto: caam - fix overflow on long hmac keys
VLAI Severity -> High (confidence: 0.9638)
https://vulnerability.circl.lu/vuln/CVE-2026-43330

A Positron Range Correction with Texture Preservation Framework in PET Imaging
Nerea Encina-Baranda, Yifan Zheng, Jorge Cabello, Robert. J. Paneque-Yunta, Cindy. M. Solano-Cordero, Alejandro Lopez-Montes, Maurizio Conti, Joaquin. L. Herraiz
https://arxiv.org/abs/2606.23100 https://arxiv.org/pdf/2606.23100 https://arxiv.org/html/2606.23100
arXiv:2606.23100v1 Announce Type: new
Abstract: Positron range (PR) blurring is a fundamental resolution limitation in PET imaging with high-energy positron emitters such as 82Rb, causing contrast loss and spill-out effects across heterogeneous tissue interfaces. We propose PRC-TP, a positron range correction (PRC) framework with explicit texture preservation that decouples deterministic resolution recovery from stochastic texture restoration. A nnFormer-based neural network (NN) was trained on patient-derived Monte Carlo simulations to map PR-degraded 82Rb reconstructions to PR-free references using attenuation maps as anatomical context. However, this NN also significantly removed the noise in the images, which could impact some texture analysis methods or make the images look unrealistic. An auxiliary Noise2Noise model estimates that smoothing effect, enabling texture extraction and transfer to the PR-corrected prediction through Model-consistent Texture Re-Injection (MTRI). In simulated patients, PRC-TP preserved contrast recovery close to ground truth (GT) (98.96-99.04%) while restoring noise and CNR closer to the reference. The function-based MTRI formulation achieved near unity global texture amplitude agreement with GT (0.997 /- 0.011), reducing the input texture amplitude bias (0.951 /- 0.011). Radiomics analysis showed improved agreement with GT across texture-sensitive feature families. A clinical 82Rb evaluation showed trends consistent with simulations, including comparable contrast-ratio increase (10.18% vs. 10.99%) and restoration of texture suppressed by PRC. These results support PRC-TP as a practical framework for resolution recovery with acquisition-consistent texture preservation in PET imaging.
Submitted to IEEE TRPMS.
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