分类: 物理学 >> 核物理学 提交时间: 2023-09-07
摘要: In this study, we developed a neural network that incorporates a fully connected layer with a convolutional layer to predict the nuclear charge radii based on the relationships between four local nuclear charge radii.The convolutional neural network (CNN) combines the isospin and pairing effects to describe the charge radii of nuclei with $A geq $ 39 and $Z geq $ 20. The developed neural network achieved a root--mean--square (RMS) deviation of 0.0195 fm for a dataset with 928 nuclei. Specifically, the CNN reproduced the trend of the inverted parabolic behavior and odd--even staggering observed in the calcium isotopic chain, demonstrating reliable predictive capability.
分类: 核科学技术 >> 核探测技术与核电子学 提交时间: 2024-05-21
摘要: The cooling storage ring (CSR) external-target experiment (CEE) is a spectrometer used in construction to study the properties of nuclear matter inhigh-baryon density regionsat the Heavy-Ion Research Facility in Lanzhou(HIRFL). This study presentsthe design, simulation, manufacturing,and testingof ahalf-size prototype of amulti-wire drift chamber (MWDC) for the CEE. First, theperformance of the MWDCconnected tohome-made electronics was simulated. The results demonstratedthat an energy resolution of 18.5% for 5.9-keVX-rays and a position resolution of 194 um for protons can be achieved bythe current design. Becausethe size of the largest MWDCreached176× 314 cm, a set of 98× 98 cm prototypes was built using the new techniques. The positioning accuracy of the anode wires inthis prototype exceeded20 um. After optimizationusing commercially available electronicdevices, the prototype achievedan energy resolution of 19.7% for a 55FeX-ray source. The CEE-MWDCdetector and electronics were simultaneouslytested. An energy resolution of 22% was achievedfor the 55Fesource;the track residuals were approximately330 umfor the cosmic rays. The results demonstrate that the current design and techniquesmeet the requirementsof the CEE-MWDCarray.
分类: 生物学 >> 生物物理学 提交时间: 2016-05-12
摘要: Protein lysine malonylation, a newly identified protein post-translational modification (PTM), has been proved to be evolutionarily conserved and is present in both eukaryotic and prokaryotic cells. However, its potential roles associated with human diseases remain largely unknown. In the present study, we observed an elevated lysine malonylation in a screening of seven lysine acylations in liver tissues of db/db mice, which is a typical model of type 2 diabetes. We also detected an elevated lysine malonylation in ob/ob mice, which is another model of type 2 diabetes. We then performed affinity enrichment coupled with proteomic analysis on liver tissues of both wild-type (wt) and db/db mice and identified a total of 573 malonylated lysine sites from 268 proteins. There were more malonylated lysine sites and proteins in db/db than in wt mice. Five proteins with elevated malonylation were verified by immunoprecipitation coupled with Western blot analysis. Bioinformatic analysis of the proteomic results revealed the enrichment of malonylated proteins in metabolic pathways, especially those involved in glucose and fatty acid metabolism. In addition, the biological role of lysine malonylation was validated in an enzyme of the glycolysis pathway. Together, our findings support a potential role of protein lysine malonylation in type 2 diabetes with possible implications for its therapy in the future.