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Articles by Jingjun Lin
Analysis of particle size effect of stainless steel powder by laser-induced breakdown spectroscopy based on multivariate quantitative model
Abstract This study aims to establish a cross-particle-size quantitative LIBS analytical approach for stainless steel powder analysis. Six grades of stainless-steel powder were analyzed across four particle-size fractions (<25 μm, 25–53 μm, 53–105 μm, and 105–150 μm), generating a dataset that captures both compositional and physical variability.
Research on LIBS spectral screening method based on perturbation variables
Abstract The prediction accuracy of LIBS in the quantitative analysis of complex alloy systems is often severely limited by the serious interference of spectral line overlap. To solve this problem, a new quantitative analysis method combining dynamic response strength (DRS) screening and two-dimensional correlation spectroscopy (2DCOS) feature extraction is proposed.
Research on bimodal fusion detection method of surface defects of metal AM components based on LIBS
Research on bimodal fusion detection method of surface defects of metal AM components based on LIBS Metal Additive Manufacturing (AM) holds significant importance in advancing intelligent manufacturing and sustainable development. However, due to the unique manufacturing process of AM, defect detection in AM components has always been a challenging issue.
Precise and rapid diagnosis of lung cancer: leveraging laser-induced breakdown spectroscopy with optimized kernel methods in machine learning
Precise and rapid diagnosis of lung cancer: leveraging laser-induced breakdown spectroscopy with optimized kernel methods in machine learning Improving the efficiency of laser-induced breakdown spectroscopy (LIBS) is crucial for its clinical applicability in tumor diagnosis. This study presents an accelerated diagnostic approach based on a kernel principal component analysis-support vector machine (KPCA-SVM) model.
Selection and Layout Optimization of Double Tower Cranes
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Investigating the mechanistic impact of pork soft tissue preparation techniques on the classification precision of laser-induced breakdown spectroscopy
Investigating the mechanistic impact of pork soft tissue preparation techniques on the classification precision of laser-induced breakdown spectroscopy The investigation of the mechanism underlying the impact of biological soft tissue sample preparation methods on laser-induced breakdown spectroscopy (LIBS) signals can enhance the stability of LIBS signals. Our study focused on four specific preparation methods applied to pork samples: rapid freezing, fresh slicing, drying, and pressing.
The semi-quantitative analysis of hole defects in metal additive manufacturing components using LIBS
The semi-quantitative analysis of hole defects in metal additive manufacturing components using LIBS The defects of additive manufacturing (AM) components will lead to insufficient mechanical properties of the manufactured parts, which limit the application in advanced industries. Therefore, it is very important to identify and control the defects generated in the AM process.
The mechanism of sample composition variation in the selective laser melting process based on the laser-induced breakdown spectroscopy and Raman system detection
The mechanism of sample composition variation in the selective laser melting process based on the laser-induced breakdown spectroscopy and Raman system detection We jointly applied laser-induced breakdown spectroscopy (LIBS) and Raman spectroscopy to microscopically detect the unavoidable, harmful residual trace metal oxides in the parts manufactured by the selective laser melting (SLM) process.
The mechanism of sample composition variation in the selective laser melting process based on the laser-induced breakdown spectroscopy and Raman system detection
The mechanism of sample composition variation in the selective laser melting process based on the laser-induced breakdown spectroscopy and Raman system detection We jointly applied laser-induced breakdown spectroscopy (LIBS) and Raman spectroscopy to microscopically detect the unavoidable, harmful residual trace metal oxides in the parts manufactured by the selective laser melting (SLM) process.
A study of spectral signal effect for self-holes in metal additive manufacturing components using Laser-induced breakdown spectroscopy(LIBS)
A study of spectral signal effect for self-holes in metal additive manufacturing components using Laser-induced breakdown spectroscopy(LIBS) Understanding the detection mechanism of hole defects in metal additive manufacturing (AM) components is of great significance for the detection of metal AM component defects using Laser-induced breakdown spectroscopy (LIBS).
Laser-induced breakdown spectroscopy and stoichiometry to identify various types of defects in metal additive manufacturing parts
Laser-induced breakdown spectroscopy and stoichiometry to identify various types of defects in metal additive manufacturing parts Jingjun Lin, Jiangfei Yang, Yutao Huang, Xiaomei Lin and Changjin Che Abstract Various defects of additive manufacturing (AM) components seriously impact their performance, which restricts the industry’s development process. Therefore, component defects should be classified quickly and treated in different ways.
Simultaneous co‐Photocatalytic CO2 Reduction and Ethanol Oxidation towards Synergistic Acetaldehyde Synthesis
Graphical Abstract The photoredox system that can simultaneous use photoinduced electrons and holes for solar-driven CO2 reduction coupled with selectivity ethanol oxidation to one identical value-added CH3CHO product is realized on Rb and K co-modified carbon nitride catalyst, with a benchmark C2 product yield and near-ideal atomic economy. Abstract Photocatalytic conversion of CO2 is of great interest but it often suffers sluggish oxidation half reaction and undesired by-products.
Quantitative analysis of Cr in soil based on variable selection coupled with multivariate regression using laser-induced breakdown spectroscopy
Quantitative analysis of Cr in soil based on variable selection coupled with multivariate regression using laser-induced breakdown spectroscopy Laser-induced breakdown spectroscopy (LIBS) can be used to quantitively analyze heavy metal pollutants in soil if the interaction of Fe and other matrix elements and the self-absorption effect are eliminated.
Streptococcus pneumoniae Elaborates Persistent and Prolonged Competent State during Pneumonia-Derived Sepsis
Molecular Pathogenesis | Spotlight Jingjun Lin, Pyunghun Park, Hua Li, Myung Whan Oh, Iwona T. Dobrucki, Wawrzyniec Dobrucki, Gee W. Lau Liise-anne Pirofski, Editor DOI: 10.1128/IAI.00919-19 ABSTRACT The competence regulon of pneumococcus regulates both genetic transformation and virulence. However, competence induction during host infection has not been examined.
DprA-Dependent Exit from the Competent State Regulates Multifaceted Streptococcus pneumoniae Virulence
Molecular Pathogenesis Liise-anne Pirofski, Editor DOI: 10.1128/IAI.00349-19 ABSTRACT Streptococcus pneumoniae (pneumococcus) causes multiple infectious diseases. The pneumococcal competence system facilitates genetic transformation, spreads antibiotic resistance, and contributes to virulence. DNA-processing protein A (DprA) regulates the exit of pneumococcus from the competent state. Previously, we have shown that DprA is important in both bacteremia and pneumonia infections.
Identification accuracy improvement for steel species using least squares support vector machine and laser-induced breakdown spectroscopy
The classification of discarded alloy steel for recycling purposes and the identification of alloy steels used in spare parts are very important in modern society. In this work, two typical classification methods, partial least squares discriminate analysis (PLS-DA) and support vector machine (SVM), were used to study the classification of steels with similar constituents.
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