Results 61 to 70 of about 2,001,633 (378)
Electrocatalysts play a key role in accelerating the sluggish electrochemical CO2 reduction (ECR) involving multi-electron and proton transfer. Herein, we develop a proton capture strategy via accelerating the water dissociation reaction catalyzed by ...
Xinyue Wang+11 more
semanticscholar +1 more source
In addition to the physical advantages (Bragg peak), the use of charged particles in cancer therapy can be associated with distinct biological effects compared to X-rays. While heavy ions (densely ionizing radiation) are known to have an energy- and charge-dependent increased Relative Biological Effectiveness (RBE), protons should not be very ...
Tommasino F., Durante M.
openaire +4 more sources
Dilepton Production in Nucleon-Nucleon Reactions With and Without Hadronic Inelasticities
We calculate elementary proton-proton and neutron-proton bremsstrahlung and their contribution to the $e^+e^-$ invariant mass distribution. At 4.9 GeV, the proton-proton contribution is larger than neutron-proton, but it is small compared to recent data.
C. Gale+23 more
core +1 more source
Mapping the proton drip line from Z=31 to Z=49 [PDF]
The structure of proton drip line nuclei in the 60 < A < 100 mass range is studied with the Relativistic Hartree Bogoliubov (RHB) model. For the elements which determine the astrophysical rapid proton capture process path, the RHB model predicts the ...
Aberg+36 more
core +2 more sources
Performance of electron reconstruction and selection with the CMS detector in proton-proton collisions at √s = 8 TeV [PDF]
The performance and strategies used in electron reconstruction and selection at CMS are presented based on data corresponding to an integrated luminosity of 19.7 fb−1, collected in proton-proton collisions at √s = 8 TeV at the CERN LHC. The paper focuses
Cms Collaboration
semanticscholar +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan+2 more
wiley +1 more source
Background Radical esophagectomy for esophageal squamous cell carcinoma has improved survival, but the rate of recurrence is high. Patients of recurrent esophageal squamous cell carcinoma after failure of chemotherapy have a poor prognosis.
Yojiro Ishikawa+8 more
doaj +1 more source
Predicting Proton-Air Cross Sections at sqrt s ~30 TeV, using Accelerator and Cosmic Ray Data
We use the high energy predictions of a QCD-inspired parameterization of all accelerator data on forward proton-proton and antiproton-proton scattering amplitudes, along with Glauber theory, to predict proton-air cross sections at energies near \sqrt s ...
Francis Halzen+10 more
core +3 more sources
The biological effectiveness of proton beams relative to photon beams in radiation therapy has been taken to be 1.1 throughout the history of proton therapy. While potentially appropriate as an average value, actual relative biological effectiveness (RBE)
H. Paganetti+12 more
semanticscholar +1 more source
Acceleration of electrons in the plasma wakefield of a proton bunch [PDF]
High-energy particle accelerators have been crucial in providing a deeper understanding of fundamental particles and the forces that govern their interactions.
E. Adli+112 more
semanticscholar +1 more source