Results 191 to 200 of about 5,476,582 (407)
In this study, a new type of bioactive glass fiber ‐based composite magnesium phosphate bone cement is prepared and verified that its mechanical strength and biological properties. In addition, the cement may have played a biologically active role in the Notch and HIF signaling pathways.
Yuzheng Lu+12 more
wiley +1 more source
Towards Less Biased Data-driven Scoring with Deep Learning-Based End-to-end Database Search in Tandem Mass Spectrometry [PDF]
Peptide identification in mass spectrometry-based proteomics is crucial for understanding protein function and dynamics. Traditional database search methods, though widely used, rely on heuristic scoring functions and statistical estimations have to be introduced for a higher identification rate.
arxiv
Degradation of Polyacrylonitrile by means of Mass Spectrometry
Yuzi Takayama
openalex +2 more sources
Mass Spectrometry of Terpenes. I. Monoterpene Hydrocarbons. [PDF]
Ragnar Ryhage+4 more
openalex +1 more source
In this study, OpenPhase software is used to simulate low‐carbon bainitic steels. The lower holding temperature sample exhibits smaller and finer grains. Grain thickness measurements of bainitic ferrite from simulations align with the experimental observations at high temperature. Bainitic steels are extensively utilized across various sectors, such as
Dhanunjaya K. Nerella+7 more
wiley +1 more source
AstroAgents: A Multi-Agent AI for Hypothesis Generation from Mass Spectrometry Data [PDF]
With upcoming sample return missions across the solar system and the increasing availability of mass spectrometry data, there is an urgent need for methods that analyze such data within the context of existing astrobiology literature and generate plausible hypotheses regarding the emergence of life on Earth. Hypothesis generation from mass spectrometry
arxiv
Studies in Mass Spectrometry. Part XVI. Mass Spectra of Thiophenols. [PDF]
S.‐O. LAWESSON+7 more
openalex +1 more source
Smart Rubber Extrusion Line Combining Multiple Sensor Techniques for AI‐Based Process Control
This publication presents a digitalization approach for a laboratory rubber extrusion line, employing innovative measurement methods and artificial intelligence (AI)‐based process control. The results demonstrate that the measurement systems are capable of detecting changes in the process and extrudate quality.
Alexander Aschemann+18 more
wiley +1 more source