ABSTRACT In soybeans from different years, the infrared spectroscopy waveforms exhibit similarities, yet variations in aging time lead to significant differences in their fatty acid content. To rapidly discern the year of soybean production, this study employed ten feature extraction algorithms in conjunction with Convolutional Neural Networks (CNN) to establish models for classifying soybeans from different years (2019, 2020, and 2021). The research findings reveal the following: (1) The CNN models, after feature extraction, all demonstrated improved accuracy. Notably, the optimal models for both powdered and granulated states were the Kpca-CNN models, achieving an accuracy of 100%. The corresponding loss function values were 0.0002 and 0.0007, with processing times of 0.19 seconds and 0.20 seconds, respectively. (2) The modeling results of all models suggest that the classification accuracy of soybean powder spectral data is higher compared to soybean particle spectral data. (3) Validation of the optimal Kpca-CNN model confirmed its consistent accuracy of 100% when introducing new data or reducing the size of the training dataset. In conclusion, the fusion of near-infrared spectroscopy analysis and CNN technology is considered an effective method for classifying soybeans from different years. This method provides a practical solution for the rapid and precise determination of seed production years.

Abstract Purpose To investigate whether heat shock protein 90 (HSP90) is involved in complement regulation in ischemic postconditioning (IPC). Methods The left coronary artery of rats underwent 30 min of occlusion, followed by 120 min of reperfusion and treatment with IPC via 3 cycles of 30s reperfusion and 30s occlusion. The rats were injected intraperitoneally with 1 mg/kg HSP90 inhibitor geldanamycin (GA) after anesthesia. Eighty rats were randomly divided into four groups: sham, ischemia-reperfusion (I/R), IPC and IPC + GA. Myocardial infarct size, apoptosis index and the expression of HSP90, C3, C5a, tumor necrosis factor (TNF)-alpha, interleukin (IL)-1β and c-Jun N-terminal kinase (JNK) were assessed. Results Compared with the I/R injury, the IPC treatment significantly reduced infarct size, release of troponin T, creatine kinase-MB, and lactate dehydrogenase, and cardiomyocyte apoptosis. These beneficial effects were accompanied by a decrease in TNF-α, IL-1β, C3, C5a and JNK expression levels. However, all these effects were abrogated by administration of the HSP90 inhibitor GA. Conclusion HSP90 exerts a profound effect on IPC cardioprotection, and may be linked to the inhibition of the complement system and JNK, ultimately attenuating I/R-induced myocardial injury and apoptosis.

This work aimed to compare the methods for the determination of twenty plant growth regulators (PGRs) from Chinese herbal medicines by applying liquid and solid extraction methods simultaneously. Quick, easy, cheap, effective, rugged and safe (QuEChERS) and matrix solid-phase dispersion (MSPD) were chosen as the liquid and solid extraction methods, respectively. Due to the complex matrix of herbal medicine, carbon nanotubes were selected as the solutions/sorbents for the extraction and purification. The extracts were analyzed by ultra-performance liquid chromatography-triple quadrupole-mass spectrometry (UPLC-MS/MS). Both methods resulted in good efficiency for the extraction and purification. The recoveries fell in the range of 71-117% with relative standard deviations (RSDs) less than 19%. The limits of detection were in the range of 0.01 to 3 μg kg-1 with the two methods. The standards were prepared using the matrix matched standards due to the considerable matrix effects of the herbal medicines. Compared to the liquid method, the solid method required a smaller amount of sample, which is critical for PGR analysis of rare valuable herbal medicines. The two methods were applied for the determination of the twenty PGRs in different Chinese herbal medicine successfully.

Immune reconstitution inflammation syndrome typically occurs within days after patients undergo highly active anti-retroviral therapy and is a big hurdle for effective treatment of AIDS patients. In this study, we monitored immune reconstitution inflammation syndrome occurrence in 238 AIDS patients treated with highly active anti-retroviral therapy. Among them, immune reconstitution inflammation syndrome occurred in 47 cases (19.7%). Immune reconstitution inflammation syndrome patients had significantly higher rate of opportunistic infection (p < 0.001) and persistently lower CD4+ cell count (p < 0.001) compared to the non-immune reconstitution inflammation syndrome patients. In contrast, no significant differences in HIV RNA loads were observed between the immune reconstitution inflammation syndrome group and non-immune reconstitution inflammation syndrome group. These data suggest that a history of opportunistic infection and CD4+ cell counts at baseline may function as risk factors for immune reconstitution inflammation syndrome occurrence in AIDS patients as well as potential prognostic markers. These findings will improve the management of AIDS with highly active anti-retroviral therapy.