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, a kind of edible herbal medicine, has been widely used in the protection of liver and kidney due to its medicinal and nutritional effect. Its anti-inflammatory, anti-tumor, and anti-oxidant activities can be enhanced by wine-steamed (WS) processing. Based on the activations of hepatic stellate cells-T6 (HSC-T6) and HK-2, our study used single-factor plus orthogonal design to investigate the anti-fibrosis of processed with steamed (S), high-pressure steamed (HPS), WS, high-pressure wine-steamed (HPWS), wine-dipped (WD), and wine-fried (WF). The chemical constituents in processed with higher anti-fibrotic activities were detected by ultra-high performance liquid chromatography coupled with hybrid triple quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS/MS). Results showed that with HPWS significantly inhibited the activations of HSC-T6 and HK-2. Moreover, compounds in with HPWS were obtained UHPLC-Q-TOF-MS/MS, indicating that 27 components were changed compared with raw . These results demonstrated that HPWS is the optimal processing technology for anti-fibrosis of .
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http://dx.doi.org/10.3389/fnut.2022.807071 | DOI Listing |
Neural Netw
September 2025
School of Electronic Science and Engineering, Nanjing University, China. Electronic address:
The Segment Anything Model (SAM) is a cornerstone of image segmentation, demonstrating exceptional performance across various applications, particularly in autonomous driving and medical imaging, where precise segmentation is crucial. However, SAM is vulnerable to adversarial attacks that can significantly impair its functionality through minor input perturbations. Traditional techniques, such as FGSM and PGD, are often ineffective in segmentation tasks due to their reliance on global perturbations that overlook spatial nuances.
View Article and Find Full Text PDFNeural Netw
September 2025
School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, 200240, China; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, 200240, China; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200240, China.
3D shape defect detection plays an important role in autonomous industrial inspection. However, accurate detection of anomalies remains challenging due to the complexity of multimodal sensor data, especially when both color and structural information are required. In this work, we propose a lightweight inter-modality feature prediction framework that effectively utilizes multimodal fused features from the inputs of RGB, depth and point clouds for efficient 3D shape defect detection.
View Article and Find Full Text PDFJ Environ Manage
September 2025
School of Hydraulic and Environmental Engineering, Changsha University of Science and Technology, Changsha, 410114, China. Electronic address:
Microbial agents represent a valuable class of additives that can enhance the value and effectiveness of compost products. This paper provides a comprehensive review of the mechanisms and applications of microorganisms in regulating lignocellulose degradation, controlling gas emissions, and managing typical pollutants during the composting of organic solid wastes. Inoculation with microbial agents can significantly improve the degradation efficiency, quality, and environmental friendliness of compost.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense M, Denmark.
Background: Acute respiratory infections (ARIs) are frequent reasons for medical consultations in general practice and can lead to unnecessary recontacts. Introducing new point-of-care (POC) polymerase chain reaction (PCR) diagnostic equipment may offer an attractive and efficient way of providing a more precise and exact microbial diagnosis. Successful uptake of POC PCR equipment could potentially lead to a reduction in recontacts with benefits for both staff and patients.
View Article and Find Full Text PDFJ Agric Food Chem
September 2025
Department of Chemistry and Chemical Engineering, Engineering Research Center of Forestry Biomass Materials and Bioenergy (Ministry of Education), National Forest and Grass Administration Woody Spices (East China) Engineering Technology Research Center, Beijing Forestry University, Beijing 100083, C
This study develops a catalytic system using pyruvic acid (PYA) and Fe to efficiently coproduce xylo-oligosaccharides (XOS) and (manno-oligosaccharides) MOS from food material ( Lam. fruit.) and its waste peel, respectively.
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