Results 81 to 90 of about 210,628 (307)

MCPLOTS: a particle physics resource based on volunteer computing [PDF]

The European Physical Journal C, 2013
The mcplots.cern.ch web site (mcplots) provides a simple online repository of plots made with high-energy-physics event generators, comparing them to a wide variety of experimental data.
A. Karneyeu, L. Mijović, S. Prestel, P. Skands   +3 more
semanticscholar   +1 more source

New particle formation events observed at King Sejong Station, Antarctic Peninsula – Part 1: Physical characteristics and contribution to cloud condensation nuclei [PDF]

Atmospheric Chemistry and Physics, 2018
Abstract. The physical characteristics of aerosol particles during a particle burst observed at King Sejong Station in Antarctic Peninsula from March 2009 to December 2016 were analyzed. This study focuses on the seasonal variation in parameters related to particle formation such as the occurrence, formation rate (FR) and growth rate (GR), condensation
J. Kim, J. Kim, Y. J. Yoon, Y. Gim, J. H. Choi, H. J. Kang, H. J. Kang, K.-T. Park, J. Park, B. Y. Lee   +9 more
openaire   +4 more sources

Report on the 2nd MObility for Vesicle research in Europe (MOVE) symposium—2024

FEBS Open Bio, EarlyView.
The 2nd MObility for Vesicle research in Europe (MOVE) Symposium in Belgrade brought over 280 attendees from 28 countries to advance extracellular vesicle (EV) research. Featuring keynotes, presentations, and industry sessions, it covered EV biogenesis, biomarkers, therapies, and manufacturing.
Dorival Mendes Rodrigues‐Junior, Michaela Kocholata, Marilena E. Lekka, Olga Janouskova, Moran Yadid, Maja Kosanovic   +5 more
wiley   +1 more source

A likelihood framework for cryogenic scintillating calorimeters used in the CRESST dark matter search

European Physical Journal C: Particles and Fields
Cryogenic scintillating calorimeters are ultra- sensitive particle detectors for rare event searches, particularly for the search for dark matter and the measurement of neutrino properties.
CRESST Collaboration, G. Angloher, S. Banik, G. Benato, A. Bento, A. Bertolini, R. Breier, C. Bucci, J. Burkhart, L. Canonica, A. D’Addabbo, S. Di Lorenzo, L. Einfalt, A. Erb, F. v. Feilitzsch, S. Fichtinger, D. Fuchs, A. Garai, V. M. Ghete, P. Gorla, P. V. Guillaumon, S. Gupta, D. Hauff, M. Ješkovský, J. Jochum, M. Kaznacheeva, A. Kinast, H. Kluck, H. Kraus, S. Kuckuk, A. Langenkämper, M. Mancuso, L. Marini, B. Mauri, L. Meyer, V. Mokina, M. Olmi, T. Ortmann, C. Pagliarone, L. Pattavina, F. Petricca, W. Potzel, P. Povinec, F. Pröbst, F. Pucci, F. Reindl, J. Rothe, K. Schäffner, J. Schieck, D. Schmiedmayer, S. Schönert, C. Schwertner, M. Stahlberg, L. Stodolsky, C. Strandhagen, R. Strauss, I. Usherov, F. Wagner, V. Wagner, V. Zema   +59 more
doaj   +1 more source

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

FEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini, Nicolò Antonelli, Gianluca Molla   +2 more
wiley   +1 more source

Improved modelling of SEP event onset within the WSA–Enlil–SEPMOD framework

Journal of Space Weather and Space Climate
Multi-spacecraft observations of solar energetic particle (SEP) events not only enable a deeper understanding and development of particle acceleration and transport theories but also provide important constraints for model validation efforts.
Palmerio Erika, Luhmann Janet G., Mays M. Leila, Caplan Ronald M., Lario David, Richardson Ian G., Whitman Kathryn, Lee Christina O., Sánchez-Cano Beatriz, Wijsen Nicolas, Li Yan, Cardoso Carlota, Pinto Marco, Heyner Daniel, Schmid Daniel, Auster Hans-Ulrich, Fischer David   +16 more
doaj   +1 more source

Unveiling CP property of top-Higgs coupling with graph neural networks at the LHC

Physics Letters B, 2020
The top-Higgs coupling plays an important role in particle physics and cosmology. The precision measurements of this coupling can provide an insight to new physics beyond the Standard Model. In this paper, we propose to use Message Passing Neural Network
Jie Ren, Lei Wu, Jin Min Yang
doaj   +1 more source

Requirements on common solutions to the LSND and MiniBooNE excesses: a post-MicroBooNE study

Journal of High Energy Physics, 2022
The strong statistical significance of an observed electron-like event excess in the MiniBooNE (MB) experiment, along with an earlier similar excess seen in the Liquid Scintillator Neutrino Detector (LSND), when interpreted in conjunction with recent ...
Waleed Abdallah, Raj Gandhi, Samiran Roy
doaj   +1 more source

A general model for analysis of linear and hyperbolic enzyme inhibition mechanisms

FEBS Open Bio, EarlyView.
We developed a general enzyme kinetic model that integrates these six basic inhibition mechanism onto a single one. From this model, we deduced a general enzyme kinetic equation that through modulation of simple parameters, γ (the relative inhibitor affinity for two binding sites) and β (the reactivity of the enzyme–substrate–inhibitor complex), is ...
Rafael S. Chagas, Sandro R. Marana
wiley   +1 more source

Molecular determinants of signal transduction in tropomyosin receptor kinases

FEBS Open Bio, EarlyView.
Tropomyosin receptor kinases control critical neuronal functions, but how do the same receptors produce diverse cellular responses? This review explores the structural mechanisms behind Trk signaling diversity, focusing on allosteric modulation and ligand bias.
Giray Enkavi
wiley   +1 more source