Publications by authors named "J Q Lei"
Anterior disc displacement without reduction (ADDwoR) is one of the most common types temporomandibular disorders (TMD), which is often characterized by joint pain, abnormal joint sounds, and limited mouth opening. Disc repositioning has been described as an effective method to reduce joint pain and improve range of motion. Yang's arthroscopic disc repositioning and suturing surgery has been reported to be the most stable technique with 95%-98% of success rate.
View Article and Find Full Text PDFArticle Synopsis
- Rapid industrialization has contaminated soils with heavy metals, leading to environmental and health hazards, and using remediated soil in sintered bricks is a promising solution.
- The study analyzed heavy metal distribution within the kiln and between brick layers, revealing that while most metals were immobilized effectively during sintering, selenium showed notable volatility with lower retention.
- Results indicated that the outer layer of bricks had higher concentrations of arsenic and lead, with inner layers exhibiting lower leaching rates for certain metals, emphasizing the complex behaviors of heavy metals in the brick-making process and supporting the potential for safer reuse of contaminated soils.
The presence of excessive residues of pesticides poses a great threat to ecology and human health. Herein, a novel, low-cost, simple and precise quantification sensing platform was established for differentiating and monitoring four common pesticides in China. Particularly, the array-based ratio fluorescent sensor array detector (ARF-SAD) based on cross-reaction characteristics of porphyrins and other porphyrin derivative was successfully constructed and integrated into the platform.
View Article and Find Full Text PDFAddressing heavy metal contamination in water bodies is a critical concern for environmental scientists. Traditional detection methods are often complex and costly. Recent advancements in artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), have shown significant potential in analytical chemistry.
View Article and Find Full Text PDFBackground: The refinement of risk stratification in lung adenocarcinoma (LUAD) plays a pivotal role in advancing precision medicine; however, the current staging classification falls short of comprehensiveness, particularly in the case of stage IA patients. We aimed to molecularly stratify LUAD patients especially for stage IA.
Methods: We analysed tumour heterogeneity and identified highly proliferating cancer cells (HPCs) in LUAD by performing single-cell RNA sequencing (scRNA-seq) analysis, immunohistochemical (IHC) staining using a tissue microarray, flow cytometry and biological experiments.