Tootfinder

Blind search for activity-sensitive lines in the near-infrared using HARPS and NIRPS observations of Proxima and Gl 581
Jo\~ao Gomes da Silva, Elisa Delgado-Mena, Nuno C. Santos, Telmo Monteiro, Pierre Larue, Alejandro Su\'arez Mascare\~no, Xavier Delfosse, Lucile Mignon, \'Etienne Artigau, Nicola Nari, Manuel Abreu, Jos\'e L. A. Aguiar, Khaled Al Moulla, Guillaume Allain, Romain Allart, Tomy Arial, Hugues Auger, Fr\'ed\'erique Baron, Susana C. C. Barros, Luc Bazine…

Blind search for activity-sensitive lines in the near-infrared using HARPS and NIRPS observations of Proxima and Gl 581
Stellar activity variability is one of the main obstacles to the detection of Earth-like planets using the RV method. The aim of this work is to measure the effect of activity in the spectra of M dwarfs and detect activity-sensitive lines in the NIR. We took advantage of the simultaneous observations of HARPS and the newly commissioned NIRPS spectrograph to carry out a blind search of the most activity-sensitive spectral lines in the NIR using NIRPS spectra and known activity indicators in the …

It's time for the #EV industry to hold itself to a higher standard when it comes to roaming. You can't have your cake and eat it. Make the cake bigger!
https://www.linkedin.com/…

I fully agree with Christian Weinberger's call here: Isn't it time we stop… | Jaap Burger
I fully agree with Christian Weinberger's call here: Isn't it time we stop pretending roaming works and start holding the ecosystem to a higher standard? As a fossil in this industry, I remember how EV roaming took off 15 years ago – it was a no-brainer from a user perspective and a logical step to ensure that the EV charging market could grow, benefiting everyone in the sector. As an early electric car driver eager to travel abroad, I spent a lot of time getting the right passes for local n…

UAV Object Detection and Positioning in a Mining Industrial Metaverse with Custom Geo-Referenced Data
Vasiliki Balaska, Ioannis Tsampikos Papapetros, Katerina Maria Oikonomou, Loukas Bampis, Antonios Gasteratos
https://arxiv.org/abs/2506.13505

UAV Object Detection and Positioning in a Mining Industrial Metaverse with Custom Geo-Referenced Data
The mining sector increasingly adopts digital tools to improve operational efficiency, safety, and data-driven decision-making. One of the key challenges remains the reliable acquisition of high-resolution, geo-referenced spatial information to support core activities such as extraction planning and on-site monitoring. This work presents an integrated system architecture that combines UAV-based sensing, LiDAR terrain modeling, and deep learning-based object detection to generate spatially accur…

A Survey on Non-Intrusive ASR Refinement: From Output-Level Correction to Full-Model Distillation
Mohammad Reza Peyghan, Fatemeh Rajabi, Saman Soleimani Roudi, Saeedreza Zouashkiani, Sajjad Amini, Shahrokh Ghaemmaghami
https://arxiv.org/abs/2508.07285

A Survey on Non-Intrusive ASR Refinement: From Output-Level Correction to Full-Model Distillation
Automatic Speech Recognition (ASR) has become an integral component of modern technology, powering applications such as voice-activated assistants, transcription services, and accessibility tools. Yet ASR systems continue to struggle with the inherent variability of human speech, such as accents, dialects, and speaking styles, as well as environmental interference, including background noise. Moreover, domain-specific conversations often employ specialized terminology, which can exacerbate tran…

Indium Hydroxide Ceramic Targets: A Breakthrough in High-Mobility Thin-Film Transistor Technology
Hikaru Sadahira, Prashant R. Ghediya, Hyeonjun Kong, Akira Miura, Yasutaka Matsuo, Hiromichi Ohta, Yusaku Magari
https://arxiv.org/abs/2507.11011

Indium Hydroxide Ceramic Targets: A Breakthrough in High-Mobility Thin-Film Transistor Technology
Thin-film transistors composed of a hydrogen-containing indium oxide active layer are promising candidates for backplane devices in next-generation flat panel displays, offering higher definition and faster operation. However, the hydrogen incorporation process during film deposition poses challenges for scalable and industrial development due to both safety and controllability issues. Here, we demonstrate that using indium hydroxide ceramic as the target material for film deposition overcomes …

Mind the Gap: From Resolving Theoretical Foundations of Chiral(ity)-Induced Spin Selectivity to Pioneering Implementations in Quantum Sensing
Yan Xi Foo, Aisha Kermiche, Farhan T. Chowdhury, Clarice D. Aiello, Luke D. Smith
https://arxiv.org/abs/2508.05611

Mind the Gap: From Resolving Theoretical Foundations of Chiral(ity)-Induced Spin Selectivity to Pioneering Implementations in Quantum Sensing
The chiral(ity)-induced spin selectivity (CISS) effect, where electrons passing through a chiral medium acquire significant spin-polarization at ambient temperatures, has been widely observed experimentally, yet its theoretical foundations remain actively debated. Open questions persist regarding whether CISS originates from helical geometry or more general chirality, and whether a unified mechanism can account for phenomena across solid-state and soft-matter systems, mesoscopic films, and sing…

Energy dependence of isomeric ratios for alpha-particle-induced reactions on natural platinum up to 50 MeV studied by simultaneous decay curve analysis
Naohiko Otuka, Masayuki Aikawa, S\'andor Tak\'acs, Damdinsuren Gantumur, Shuichiro Ebata, Lkhagvasuren Bold, Akihiro Nambu, Hiromitsu Haba
https://arxiv.org/abs/2507.0321…

Energy dependence of isomeric ratios for alpha-particle-induced reactions on natural platinum up to 50 MeV studied by simultaneous decay curve analysis
The isomeric ratios and cross sections were measured up to 50 MeV for production of $^{198m,g}$Au, $^{197m,g}$Hg, $^{195m,g}$Hg and other Hg, Au and Pt radionuclides in irradiation of natural platinum by alpha-particles using the stacked foil activation technique and offline gamma-ray spectrometry. The simultaneous decay curve analysis was applied to the emission rates of more than 40 gamma lines to directly derive the independent cross sections of all products without determining the cumulativ…

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations
Linh Nguyen, Marcel Boersma, Erman Acar
https://arxiv.org/abs/2507.01980

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations
Fraudulent activity in the financial industry costs billions annually. Detecting fraud, therefore, is an essential yet technically challenging task that requires carefully analyzing large volumes of data. While machine learning (ML) approaches seem like a viable solution, applying them successfully is not so easy due to two main challenges: (1) the sparsely labeled data, which makes the training of such approaches challenging (with inherent labeling costs), and (2) lack of explainability for th…

Close-in planet induces flares on its host star
Ekaterina Ilin, Harish K. Vedantham, Katja Poppenh\"ager, Sanne Bloot, Joseph R. Callingham, Alexis Brandeker, Hritam Chakraborty
https://arxiv.org/abs/2507.00791

Close-in planet induces flares on its host star
In the past decade, hundreds of exoplanets have been discovered in extremely short orbits below 10 days. Unlike in the Solar System, planets in these systems orbit their host stars close enough to disturb the stellar magnetic field lines. The interaction can enhance the star's magnetic activity, such as its chromospheric and radio emission, or flaring. So far, the search for magnetic star-planet interactions has remained inconclusive. Here, we report the first detection of planet-induced flares…