Analysis of peripheral blood antigens and their clinical value in oral lichen planus.

Oral lichen planus (OLP) is a chronic inflammatory disease of unknown aetiology, which is an oral potentially malignant disorder. Many investigators suggest that OLP may be a localized autoimmune response caused by cell-mediated autoimmunity to basal cells. However, it remains unclear whether allergens play a role in the pathogenesis of OLP.

Contrast and Gain-Aware Attention: A Plug-and-Play Feature Fusion Attention Module for Torso Region Fetal Plane Identification.

Accurate identification of fetal torso ultrasound planes is essential in pre-natal examinations, as it plays a critical role in the early detection of severe fetal malformations and this process is heavily dependent on the clinical expertise of health care providers. However, the limited number of medical professionals skilled at identification and the complexity of fetal plane screening underscore the need for efficient diagnostic support tools. Clinicians often encounter challenges such as image artifacts and the intricate nature of fetal planes, which require adjustments to image gain and contrast to obtain clearer diagnostic information.

Multifunctional lysozyme amyloid fibers-chitosan composite xerogel for adsorption of Cu, Cu-Citrate, and Cu-EDTA.

Stable, treatment-resistant Cu complexes in practical wastewater are frequently neglected. Positively charged lysozyme amyloid fibrils (AF), however, exhibit unexplored potential for their adsorption. This study engineered an amyloid fibril-chitosan composite (AF-CS) xerogel and evaluated its adsorption performance in three systems: free Cu, Cu-Citrate binary, and Cu-EDTA binary.

The mismatch between PM exposure and related health burden during 2000-2023 in the Sichuan Basin, China.

Sichuan Basin (SCB) is a critical region in China facing the dual pressures of air pollution and population aging. This study constructed high resolution (1 km) PM datasets for SCB using advanced machine learning approaches - Super Resolution Generative Adversarial Networks (SRGAN) and Convolutional Neural Network - Long Short-Term Memory (CNN-LSTM). Evaluation results demonstrate good performance of the machine learning model (SRGAN: R = 0.

Single-cell analysis of genetically minimized Salmonella reveals effector gene cooperation in vivo.

Bacterial pathogens such as Salmonella Typhimurium (S.Tm) can deliver large repertoires of effector proteins directly into host cells. Due to the genetic and functional redundancies found in these systems, it has been difficult to determine how individual effector proteins cooperate with one another to elicit pathogenic phenotypes in vivo.