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👃🏽 Two-step fermentation removes up to 99% of odors in plant proteins
#protein

Two-step fermentation removes up to 99% of odors in plant proteins
Off-putting smells can make even the healthiest of foods unpalatable. In a new study, researchers have developed a way to remove unpleasant aromas from plant-based proteins to make them smell more appealing. They did so by designing a two-step fermentation process to counter the odors that typically form during cultivation and extraction.

Proton Energy Dependence of Radiation Induced Low Gain Avalanche Detector Degradation
Veronika Kraus, Marcos Fernandez Garcia, Luca Menzio, Michael Moll
https://arxiv.org/abs/2602.01800 https://arxiv.org/pdf/2602.01800 https://arxiv.org/html/2602.01800
arXiv:2602.01800v1 Announce Type: new
Abstract: Low Gain Avalanche Detectors (LGADs) are key components for precise timing measurements in high-energy physics experiments, including the High Luminosity upgrades of the current LHC detectors. Their performance is, however, limited by radiation induced degradation of the gain layer, primarily driven by acceptor removal. This study presents a systematic comparison of how the degradation evolves with different incident proton energies, using LGADs from Hamamatsu Photonics (HPK) and The Institute of Microelectronics of Barcelona (IMB-CNM) irradiated with 18 MeV, 24 MeV, 400 MeV and 23 GeV protons and fluences up to 2.5x10^15 p/cm2. Electrical characterization is used to extract the acceptor removal coefficients for different proton energies, whereas IR TCT measurements offer complementary insight into the gain evolution in LGADs after irradiation. Across all devices, lower energy protons induce stronger gain layer degradation, confirming expectations. However, 400 MeV protons consistently appear less damaging than both lower and higher energy protons, an unexpected deviation from a monotonic energy trend. Conversion of proton fluences to 1 MeV neutron-equivalent fluences reduces but does not eliminate these differences, indicating that the standard Non-Ionizing Energy Loss (NIEL) scaling does not fully account for the underlying defect formation mechanisms at different energies and requires revision when considering irradiation fields that contain a broader spectrum of particle types and energies.
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I appreciate the effort Valve is putting into Proton to enable games to run on Linux. But couldn’t the developers just develop natively for Linux?
Change my mind.
#steam #proton #wine

Replaced article(s) found for physics.chem-ph. https://arxiv.org/list/physics.chem-ph/new
[1/1]:
- Proposal on the Calculation of the Ionisation-Cluster Size Distribution (I). The Model and Its Si...
Bernd Heide
https://arxiv.org/abs/2404.03961 https://mastoxiv.page/@arXiv_physicscompph_bot/112234374992126208
- Bridging chemistry and Gaussian boson sampling: A photonic hierarchy of approximations for molecu...
Jan-Lucas Eickmann, et al.
https://arxiv.org/abs/2507.19442 https://mastoxiv.page/@arXiv_quantph_bot/114930272911651358
- Benchmarking Universal Machine Learning Interatomic Potentials for Supported Nanoparticles: Decou...
Jiayan Xu, Abhirup Patra, Amar Deep Pathak, Sharan Shetty, Detlef Hohl, Roberto Car
https://arxiv.org/abs/2512.05221 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/115683143867496047
- Knowledge Distillation of a Protein Language Model Yields a Foundational Implicit Solvent Model
Justin Airas, Bin Zhang
https://arxiv.org/abs/2601.05388 https://mastoxiv.page/@arXiv_physicsbioph_bot/115881090848393264
- Universal Foundations of Thermodynamics: Entropy and Energy Beyond Equilibrium and Without Extens...
Gian Paolo Beretta
https://arxiv.org/abs/2602.09986 https://mastoxiv.page/@arXiv_quantph_bot/116051530776008418
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