Publications by authors named "H Kiriyama"
Article Synopsis
- A laser pulse in a magnetically confined fusion plasma creates a microscopic cavity by removing electrons and causing a Coulomb explosion of ions.
- Simulations suggest that this tiny cavity can collapse within 10 nanoseconds, influenced by factors like size and electric fields.
- Researchers are exploring whether these collapsing cavities can create stable micro-cavities that might be useful for applications in plasma technology, such as diagnostics and control methods.
Fusicoccin-A (FC-A) is a diterpene glucoside produced by a pathogenic fungus. Since its discovery, FC-A has been widely recognized as a phytotoxin that induces stomatal opening and leaf wilting, eventually leading to plant death. In this study, we present the first evidence that FC-A enhances plant growth by stabilizing the protein-protein interaction between plasma membrane (PM) H-ATPase and 14-3-3 in guard cells.
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- A new ion diagnostic method has been created for laser-driven ion acceleration using fluorescent nuclear track detectors (FNTDs), which record particle tracks without needing chemical etching.
- This method utilizes a confocal laser microscope to observe color centers associated with ion energy deposits and allows for 3D tracking of these particles through depth-layered images.
- To efficiently analyze ion tracks among overlapping signals from electrons and photons, an automated detection and tracking system using support vector classifiers has been developed and tested in a specific laser experiment.
Article Synopsis
- Ischemic heart disease is a major global health issue, and this study aimed to assess the accuracy of SurvTrace, a deep learning model, in predicting recurrent cardiovascular events compared to a traditional scoring system.
- The research involved analyzing data from nearly 4,000 patients who underwent procedures for heart issues, monitoring them for major adverse events over two years while comparing two predictive models.
- Results showed SurvTrace had a higher prognostic accuracy (c-index of 0.72) than the conventional model (c-index of 0.64) and was better at distinguishing high-risk patients from others, making it a promising tool for improving patient outcomes.