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Eutelsat, concurrent européen de Starlink, prépare une augmentation de capital qui fera de l’Etat français son premier actionnaire
https://www.lemonde.fr/economie/…

Eutelsat, concurrent européen de Starlink, prépare une augmentation de capital qui fera de l’Etat français son premier actionnaire
Trois autres actionnaires, l’armateur français CMA CGM, l’opérateur indien Bharti Airtel ainsi que le Fonds stratégique de participations sont aussi impliqués dans le projet.

Nous lançons une campagne où chaque objectif Š atteindre correspond Š une facture juridique afin de collecter des fonds pour couvrir nos frais d'avocat dans l'affaire OKC-Spatz en cours d'instruction en France.
Soutenez-nous pour que la justice soit rendue. #Justice
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Massive stars exploding in a He-rich circumstellar medium. XI. Diverse evolution of five Ibn SNe 2020nxt, 2020taz, 2021bbv, 2023utc and 2024aej
Z. -Y. Wang, A. Pastorello, Y. -Z. Cai, M. Fraser, A. Reguitti, W. -L. Lin, L. Tartaglia, D. Andrew Howell, S. Benetti, E. Cappellaro, Z. -H. Chen, N. Elias-Rosa, J. Farah, A. Fiore, D. Hiramatsu, E. Kankare, Z. -T. Li, P. Lundqvist, P. A. Mazzali, C. McCully, J. Mo, S. Moran, M. Newsome, E. Padilla Gonzalez, C. Pellegrino, Z. -H. Peng, S. J. S…

Massive stars exploding in a He-rich circumstellar medium. XI. Diverse evolution of five Ibn SNe 2020nxt, 2020taz, 2021bbv, 2023utc and 2024aej
We present the photometric and spectroscopic analysis of five Type Ibn supernovae (SNe): SN 2020nxt, SN 2020taz, SN 2021bbv, SN 2023utc, and SN 2024aej. These events share key observational features and belong to a family of objects similar to the prototypical Type Ibn SN 2006jc. The SNe exhibit rise times of approximately 10 days and peak absolute magnitudes ranging from $-$16.5 to $-$19 mag. Notably, SN 2023utc is the faintest Type Ibn supernova discovered to date, with an exceptionally low r…

Quantum-Enhanced Reinforcement Learning with LSTM Forecasting Signals for Optimizing Fintech Trading Decisions
Yen-Ku Liu, Yun-Huei Pan, Pei-Fan Lu, Yun-Cheng Tsai, Samuel Yen-Chi Chen
https://arxiv.org/abs/2507.12835

Quantum-Enhanced Reinforcement Learning with LSTM Forecasting Signals for Optimizing Fintech Trading Decisions
Financial trading environments are characterized by high volatility, numerous macroeconomic signals, and dynamically shifting market regimes, where traditional reinforcement learning methods often fail to deliver breakthrough performance. In this study, we design a reinforcement learning framework tailored for financial systems by integrating quantum circuits. We compare (1) the performance of classical A3C versus quantum A3C algorithms, and (2) the impact of incorporating LSTM-based prediction…

The fantastic single-molecule techniques
Huang Tang, Shuting Liu, Chenyue Kang, Xiang Wang, Xi Zhang, Kun Li, Gege Duan, Zheng Li, Boyang Hua
https://arxiv.org/abs/2507.13211

The fantastic single-molecule techniques
In the past 40 years, single-molecule techniques have been rapidly developed and widely applied in numerous fields of biology researches, offering new insights that conventional biochemical assays cannot discover. In this review, to help fully appreciate the powerfulness of single-molecule methods, we systemically summarize the various advantages of performing biochemical assays at the single-molecule level. Inspired by these examples, we propose a new single-molecule polysome profiling techniq…

Sobre la DANA o gota fría https://archivo.kamasystems.nl/2024/11/03/over-de-dana-of-gota-fria/?lang=es

InSight: AI Mobile Screening Tool for Multiple Eye Disease Detection using Multimodal Fusion
Ananya Raghu, Anisha Raghu, Alice S. Tang, Yannis M. Paulus, Tyson N. Kim, Tomiko T. Oskotsky
https://arxiv.org/abs/2507.12669

InSight: AI Mobile Screening Tool for Multiple Eye Disease Detection using Multimodal Fusion
Background/Objectives: Age-related macular degeneration, glaucoma, diabetic retinopathy (DR), diabetic macular edema, and pathological myopia affect hundreds of millions of people worldwide. Early screening for these diseases is essential, yet access to medical care remains limited in low- and middle-income countries as well as in resource-limited settings. We develop InSight, an AI-based app that combines patient metadata with fundus images for accurate diagnosis of five common eye diseases to…

Rapid and precise distance measurement using balanced cross-correlation of a single frequency-modulated electro-optic comb
Zijian Wang, Zhuoren Wan, Jingwei Luo, Yuan Chen, Mei Yang, Qi Wen, Xiuxiu Zhang, Zhaoyang Wen, Shimei Chen, Ming Yan, Heping Zeng
https://arxiv.org/abs/2507.13206

Rapid and precise distance measurement using balanced cross-correlation of a single frequency-modulated electro-optic comb
Ultra-rapid, high-precision distance metrology is critical for both advanced scientific research and practical applications. However, current light detection and ranging technologies struggle to simultaneously achieve high measurement speed, accuracy, and a large non-ambiguity range. Here, we present a time-of-flight optical ranging technique based on a repetition-frequency-modulated femtosecond electro-optic comb and balanced nonlinear cross-correlation detection. In this approach, a target di…

Scaling of thin wire cylindrical compression after 100 fs Joule surface heating with material, diameter and laser energy
L. Yang, M. -L. Herbert, C. B\"ahtz, V. Bouffetier, E. Brambrink, T. Dornheim, N. Fefeu, T. Gawne, S. G\"ode, J. Hagemann, H. H\"oeppner, L. G. Huang, O. S. Humphries, T. Kluge, D. Kraus, J. L\"utgert, J. -P. Naedler, M. Nakatsutsumi, A. Pelka, T. R. Preston, C. Qu, S. V. Rahul, R. Redmer, M. Rehwald, L. Randolph, J. J. Santos, M. \v{S}m\'id, …

Scaling of thin wire cylindrical compression after 100 fs Joule surface heating with material, diameter and laser energy
We present the first systematic experimental validation of return-current-driven implosion scaling in micrometer-sized wires irradiated by femtosecond laser pulses. Employing XFEL-based imaging with sub-micrometer spatial and femtosecond temporal resolution, supported by hydrodynamic and particle-in-cell simulations, we reveal how return current density depends precisely on wire diameter, material properties, and incident laser energy. We identify deviations from simple theoretical predictions …

Solving Linear Programs with Differential Privacy
Alina Ene, Huy Le Nguyen, Ta Duy Nguyen, Adrian Vladu
https://arxiv.org/abs/2507.10946 https://

Solving Linear Programs with Differential Privacy
We study the problem of solving linear programs of the form $Ax\le b$, $x\ge0$ with differential privacy. For homogeneous LPs $Ax\ge0$, we give an efficient $(ε,δ)$-differentially private algorithm which with probability at least $1-β$ finds in polynomial time a solution that satisfies all but $O(\frac{d^{2}}ε\log^{2}\frac{d}{δβ}\sqrt{\log\frac{1}{ρ_{0}}})$ constraints, for problems with margin $ρ_{0}>0$. This improves the bound of $O(\frac{d^{5}}ε\log^{1.5}\frac{1}{ρ_{0}}\mathrm{poly…