Periapical lesion detection in periapical radiographs using the latest convolutional neural network ConvNeXt and its integrated models.

To overcome the limitation of a single classification model's inability to simultaneously identify multiple lesion targets within periapical radiographs, This study proposes YoCNET (Yolov5 + ConvNeXt), a novel deep learning integrated model. YoCNET leverages the target detection capability of Yolov5 and the image classification capability of ConvNeXt to achieve automatic segmentation of individual teeth and concurrent detection of periapical lesions across multiple teeth. A dataset of 1,305 periapical radiographs was used to train and validate the ConvNeXt and ResNet34 models, with an 8:2 split for training and validation.

Effect of Calcination Atmosphere on the Performance of Cu/AlO Catalyst for the Selective Hydrogenation of Furfural to Furfuryl Alcohol.

The selective hydrogenation of the biomass platform molecule furfural (FAL) to produce furfuryl alcohol (FA) is of great significance to alleviate the energy crisis. Cu-based catalysts are the most commonly used catalysts, and their catalytic performance can be optimized by changing the preparation method. This paper emphasized the effect of calcination atmosphere on the performance of a Cu/AlO catalyst for the selective hydrogenation of FAL.

[Scoring methods for liver tissue fibrosis based on ultrasound radio frequency time series].

Trying to provide ultrasonic image-aid measures for quantitative diagnosis and dynamic monitoring of liver fibrosis, we propose two scoring methods for liver fibrosis tissue in vivo , based on ultrasound radio frequency (RF) time series in this paper. Firstly, RF echo signals of human liver were recorded in this study. Then one of the recorded frame RF data was demodulated to be B model image.

Quick identification of effective small interfering RNAs that inhibit the replication of coxsackievirus A16.

Coxsackievirus A16 (CA16) is a major causative agent of hand, foot, and mouth disease (HFMD). It can cause myocarditis, pericarditis and fatal shock. There is no effective therapy against CA16.

Rapid identification of small interfering RNA that can effectively inhibit the replication of multiple influenza B virus strains.

Influenza B virus is a cause of substantial morbidity and mortality in humans and current vaccination strategies and antiviral drugs only provide limited protection. Here, we report the evaluation of small interfering RNA (siRNA) for repression of viral replication in cultured cells as well as in chicken embryos. Several siRNAs targeting conserved regions of the virus (in chemically synthesized or plasmid-encoded forms) were found to effectively block the replication of the influenza B virus.