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It is significant to identify the moldy status of stored maize by fungi infection in the early stage. Hyperspectral imaging (HSI) combined with the sparse auto-encoders (SAE) and convolutional neural network (CNN) algorithms was used to classify the moldy grades of maize kernels. The HSI data were obtained in the range of 400–1000 nm, and four grades from health to heavy mildew were distinguished using the measured fungal spores of maize. The depth spectral features were represented using SAE and the image features were extracted by CNN. K nearest neighbors, support vector machine (SVM), and partial least squares discriminant analysis classifiers were combined with the spectral and image features to establish classification models to identify the different moldy grades of maize kernels. The comparison results indicated that the fusion of SAE and CNN combined with the SVM classifier to construct the SAE-CNN-SVM model had the most satisfactory identification result with high correct recognition rates of 99.47% and 98.94% for the training and testing sets, respectively, and the values of sensitivity and specificity were 0.95–1. The moldy grades were presented intuitively on the maize image based on pixels or kernel-wise. Therefore, the HSI with the SAE-CNN-SVM model had good recognition ability for the early detection of moldy maize kernels, which could potentially provide technical support for the development of online detection of moldy maize kernels during storage. [ABSTRACT FROM AUTHOR]

Background: Since the COVID-19 outbreak, the severity of college student's mental health has increased, with depression being the most prominent. This study's primary purpose was to explore (1) whether the perceived stress of COVID-19 was associated with depression through sequential mediation of mindfulness and dysexecutive function and also (2) the temporal association among mindfulness, dysexecutive function and depression. Methods: We performed two studies to evaluate dysexecutive function as a mechanism through which mindfulness impacts depression under the stress of the COVID-19 pandemic. Study 1 used a sequential mediation model to test the mediating role of mindfulness and dysexecutive function between the perceived stress of COVID-19 and depression based on 1,665 emerging adults. Study 2 used a random-effect, cross-lagged panel model (RE-CLPM) to test the directionality among mindfulness, dysexecutive function, and depression based on 370 emerging adults. Results: The cross-sectional study showed that perceived stress of COVID-19 was positively associated with depression through the sequential mediation of mindfulness and dysexecutive function (effect: 0.08, 95%CI = [0.07, 0.10]), also through the mediation of mindfulness (effect: 0.05, 95%CI = [0.03, 0.06]) and dysexecutive function (effect: 0.08, 95%CI = [0.06, 0.10]) separately. The RE-CLPM study indicated that dysexecutive function mediates the reciprocal relation between mindfulness and depression at the within-person level. Conclusion: These results suggest that dysexecutive function is an intermediate psychological mechanism that exacerbates depression under pandemic-related stress. Mindfulness can predict dysexecutive function and subsequently improve depression. As depression under pandemic-related stress can weaken the mindful state, long-term mindfulness practices are needed to maintain mental health during COVID-19. Dysexecutive function is a potential cognitive risk factor of depression under pandemic stress using cross-sectional data. The random effect cross-lagged panel model (RE-CLPM) demonstrated temporal association among mindfulness, dysexecutive functions, and depression. Long-term mindfulness practices are needed to maintain mental health under COVID-19 stress. [ABSTRACT FROM AUTHOR]

Emergency cesarean section is one of the most critical methods in the treatment of high-risk emergency obstetric cases. The aim of this study was to explore the clinical effect of constructing a Rapid Response Team (RRT) in emergency cesarean section. This is a pre- and post-implementation study. The patients who underwent emergency cesarean section were retrospectively analyzed and divided into an experimental group and a control group. There were 52 patients (June–December 2020) in the control group who underwent routine emergency cesarean section without an RRT, and 51 patients (January–June 2021) in the experimental group who underwent emergency cesarean section with an RRT. The operation time indexes (DOI, decision-to-operating room interval; O-I, operating room-to-incision interval; DII, decision-to-incision interval; I-D, incision-to-delivery interval; DDI, decision-to-delivery interval), DDI pass rate, neonatal Apgar score and maternal complications in the two groups were compared. Moreover, the management time trends (DOI, DII, and DDI) in the experimental group were analyzed. The DDI, DII, DOI, and O-I of the experimental group were shorter than those of the control group, and the differences were significant (p < 0.05). The DDI pass rate in the experimental group was higher than that in the control group, and the difference was significant (p < 0.01). The 1-min Apgar score of the experimental group was higher than that of the control group (p < 0.05). The key intervals of emergency cesarean section in the experimental group leveled off after approximately 3 to 4 months. In the face of emergency situations, the implementation of an emergency cesarean section RRT can improve delivery intervals for emergency cesarean and would be conducive to maternal and infant safety. [ABSTRACT FROM AUTHOR]

Context: Yi-Qi Cong-Ming (YQCM) decoction has been widely used to prevent age-related hearing loss (ARHL), the most prevalent neurodegenerative disease in the elderly. Objective: To explore the mechanism of YQCM decoction in the treatment of ARHL. Materials and methods: The chemical constituents of YQCM were screened from the Traditional Chinese Medicine Systems Pharmacology Database. Potential targets of YQCM against ARHL were predicted by DrugBank, GeneCards, and OMIM database. Protein-protein network and enrichment analysis were used for exploring possible molecular mechanisms. Molecular docking and an in vitro model of ARHL by exposing auditory cells with 100 μM H2O2 for 3 h were applied. Cell viability and mitochondrial membrane potential (ΔΨM) were detected by CCK-8 and high-content analysis. γH2AX and cleaved caspase-3 were detected by Western blot. Results: The main compounds have good affinities with hub targets, especially AKT1, PTGS2, and CASP3. GO and KEGG analysis showed that the main biological process and key targets were related to negative regulation of the apoptotic process. H2O2 treatment could reduce the cell viability by 68% and impaired ΔΨM, while 90 μg/mL YQCM pre-treatment could restore the cell viability by 97.45% and increase ΔΨM (2-fold higher). YQCM pre-treatment also reduced γH2AX and cleaved caspase-3 protein levels. Conclusions: Our study suggested that YQCM prevents ARHL by modulating the apoptosis process in auditory hair cells. Moreover, this study proved that bioinformatics analysis combined with molecular docking and cell model is a promising method to explore other possible pharmacological interventions of ARHL. [ABSTRACT FROM AUTHOR]