Tootfinder

Pete Carroll Confident In Raiders’ Depth Across Key Positions https://raiderramble.com/2025/08/25/pete-carroll-confident-in-raiders-depth-across-key-positions/

OmniPlantSeg: Species Agnostic 3D Point Cloud Organ Segmentation for High-Resolution Plant Phenotyping Across Modalities
Andreas Gilson, Lukas Meyer, Oliver Scholz, Ute Schmid
https://arxiv.org/abs/2509.21038

OmniPlantSeg: Species Agnostic 3D Point Cloud Organ Segmentation for High-Resolution Plant Phenotyping Across Modalities
Accurate point cloud segmentation for plant organs is crucial for 3D plant phenotyping. Existing solutions are designed problem-specific with a focus on certain plant species or specified sensor-modalities for data acquisition. Furthermore, it is common to use extensive pre-processing and down-sample the plant point clouds to meet hardware or neural network input size requirements. We propose a simple, yet effective algorithm KDSS for sub-sampling of biological point clouds that is agnostic to …

EmbeddingGemma: Powerful and Lightweight Text Representations
Henrique Schechter Vera, Sahil Dua, Biao Zhang, Daniel Salz, Ryan Mullins, Sindhu Raghuram Panyam, Sara Smoot, Iftekhar Naim, Joe Zou, Feiyang Chen, Daniel Cer, Alice Lisak, Min Choi, Lucas Gonzalez, Omar Sanseviero, Glenn Cameron, Ian Ballantyne, Kat Black, Kaifeng Chen, Weiyi Wang, Zhe Li, Gus Martins, Jinhyuk Lee, Mark Sherwood, Juyeong Ji, Renjie Wu, Jingxiao Zheng, Jyotinder Singh, Abheesht Sharma, Divya Sreepat, Aashi …

EmbeddingGemma: Powerful and Lightweight Text Representations
We introduce EmbeddingGemma, a new lightweight, open text embedding model based on the Gemma 3 language model family. Our innovative training recipe strategically captures knowledge from larger models via encoder-decoder initialization and geometric embedding distillation. We improve model robustness and expressiveness with a spread-out regularizer, and ensure generalizability by merging checkpoints from varied, optimized mixtures. Evaluated on the Massive Text Embedding Benchmark (MTEB) across…

Montauban : des agriculteurs de la CR déversent des détritus devant le conseil départemental - Le Parisien
https://www.leparisien.fr/faits-divers/montauban-des-agriculte…

Montauban : des agriculteurs de la CR déversent des détritus devant le conseil départemental
Une quinzaine d’exploitants ont déversé des détritus devant le conseil départemental du Tarn-et-Garonne pour exprimer leur mécontentement. Ils réclament un soutien accru aux viticulteurs locaux.

Warmer weather is leading to vanishing winters in North America's Great Lakes #America

Warmer weather is leading to vanishing winters in North America's Great Lakes
Fifty years ago, winter didn't just visit the Great Lakes—it took up residence. If you blinked too slowly, your eyelashes froze together. Standing on the ice at the edge of Lake Superior, just after an early January snowstorm, everything was white and still, except for the lake. The wind had swept across it revealing ice cracked along thunderous fractures.

A dump leakage calorimeter to measure the flux of high-energy electrons and photons
Antonios Athanassiadis, Ties Behnke, Jonas Bj\"orklund Svensson, Oleksandr Borysov, Maryna Borysova, Lewis Boulton, Sarawit Chindaratchakul, Beate Heinemann, Louis Helary, Ruth Jacobs, Advait Kanekar, Jenny List, Tianyun Long, Tanguy Marsault, Felipe Pe\~na, Stefan Schmitt, Sarah Schr\"oder, Ivo Schulthess, Stephan Wesch, Matthew Wing, Jonathan Wood

A dump leakage calorimeter to measure the flux of high-energy electrons and photons
We developed a novel apparatus based on a lead glass calorimeter that can measure the flux of high-energy electrons or photons. Our detector uses the electromagnetic shower leakage from the beam dump, where the particles are disposed of at the beamline's end. A prototype of such a calorimeter was set up at the FLASHForward experiment at DESY. We show that it can measure the electron bunch charge with precision and accuracy at the 10% and 3% level, respectively. Additionally, it is capable of de…

Reconfigurable Optical Logic Gates and 2-Bit Decoder Using Multiport Directional Couplers
Noel Francisco Prado Bucaro, Yushan Hu, Satoshi Sunada, Takeo Maruyama
https://arxiv.org/abs/2509.20825

Reconfigurable Optical Logic Gates and 2-Bit Decoder Using Multiport Directional Couplers
We demonstrate a reconfigurable photonic platform capable of implementing both optical logic gates and a 2-bit decoder on the same device. The architecture is based on cascaded multiport directional couplers interleaved with thermo-optic phase shifters, enabling programmable $N \times N$ unitary transformations. Optimal heater voltages for phase control are determined through Bayesian optimization. The devices operate reliably across multiple wavelengths with 50 GHz spacing, suggesting potentia…

Surveying the Whirlpool at Arcseconds with NOEMA (SWAN): III. $^{13}$CO/C$^{18}$O ratio variations across the M51 galaxy
Ina Gali\'c, Mallory Thorp, Frank Bigiel, Eva Schinnerer, Jakob den Brok, Hao He, Mar\'ia J. Jim\'enez-Donaire, Lukas Neumann, Jerome Pety, Sophia K. Stuber, Antonio Usero, Ashley T. Barnes, Dario Colombo, Daniel A. Dale, Timothy A. Davis, J. E. M\'endez-Delgado, Hsi-An Pan, Miguel Querejeta, Thomas G. Williams

Surveying the Whirlpool at Arcseconds with NOEMA (SWAN): III. $^{13}$CO/C$^{18}$O ratio variations across the M51 galaxy
CO isotopologues are common tracers of the bulk molecular gas in extragalactic studies, providing insights into the physical and chemical conditions of the cold molecular gas, a reservoir for star formation. Since star formation occurs within molecular clouds, mapping CO isotopologues at cloud-scale is important to understanding the processes driving star formation. However, achieving this mapping at such scales is challenging and time-intensive. The Surveying the Whirlpool Galaxy at Arcseconds…

A Comprehensive Evaluation of YOLO-based Deer Detection Performance on Edge Devices
Bishal Adhikari, Jiajia Li, Eric S. Michel, Jacob Dykes, Te-Ming Paul Tseng, Mary Love Tagert, Dong Chen
https://arxiv.org/abs/2509.20318

A Comprehensive Evaluation of YOLO-based Deer Detection Performance on Edge Devices
The escalating economic losses in agriculture due to deer intrusion, estimated to be in the hundreds of millions of dollars annually in the U.S., highlight the inadequacy of traditional mitigation strategies since these methods are often labor-intensive, costly, and ineffective for modern farming systems. To overcome this, there is a critical need for intelligent, autonomous solutions which require accurate and efficient deer detection. But the progress in this field is impeded by a significant…

OLaPh: Optimal Language Phonemizer
Johannes Wirth
https://arxiv.org/abs/2509.20086 https://arxiv.org/pdf/2509.20086…

OLaPh: Optimal Language Phonemizer
Phonemization, the conversion of text into phonemes, is a key step in text-to-speech. Traditional approaches use rule-based transformations and lexicon lookups, while more advanced methods apply preprocessing techniques or neural networks for improved accuracy on out-of-domain vocabulary. However, all systems struggle with names, loanwords, abbreviations, and homographs. This work presents OLaPh (Optimal Language Phonemizer), a framework that combines large lexica, multiple NLP techniques, and …