Taxifolin (TAX) is a natural compound known for its liver protection effect, but the mechanism remains unknown. Phosphorylated proteomics analyses discovered that the phosphorylation level of NDRG1 at T328 was a key event of TAX-improved liver fibrosis. We established models with NDRG1 knockout (KO) in vivo and in vitro, demonstrating that NDRG1 KO attenuated the development of hepatocyte injury, and combining NDRG1 KO and TAX administration did not result in a reduction in protection against liver injury. Cellular thermal shift assay and surface plasma resonance analysis showed that TAX directly binds to NDRG1 rather than its upstream kinase, subsequently demonstrating that TAX regulated phosphorylation of NDRG1 at T328 through binding to its C289 site. NDRG1 T328A (phosphorylated mutation) and T328E (mimic phosphorylation) in vivo and in vitro confirmed that pNDRG1_T328 exacerbates hepatocyte injury along with DNA damage, inflammatory response, and apoptosis, thereby contributing to hepatic stellate cells (HSCs) activation. In contrast, TAX can inhibit the above pathological abnormalities and block hepatocyte injury-triggered HSCs activation and fibrosis. Overall, TAX is a potent liver protection drug primarily targeting NDRG1 and inhibiting pNDRG1_T328 in hepatocytes.

Accurately obtaining the crop quantity and density is not only crucial for the demand-based input of water and fertilizer in the field but also vital for ensuring the yield and quality of crops. Aerial photography by unmanned aerial vehicles (UAVs) can quickly acquire the distribution image information of crops over a large area. However, the accurate recognition of a single type of dense targets is a huge challenge for most recognition algorithms. Taking banana seedlings as an example in this study, we captured the images of banana plantations by UAVs from high altitudes to explore an efficient recognition method for dense targets. We proposed a strategy of "cut-recognition-stitch" and constructed a counting method based on the improved Faster R-CNN algorithm. First, the images containing highly dense targets were cropped into a large number of image tiles according to different sizes (simulating different flight altitudes), and the Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm was adopted to improve the image quality. A banana seedling dataset containing 36 000 image tiles was constructed. Then, the Faster R-CNN network with optimized parameters was used to train the banana seedling recognition model. Finally, the recognition results were reversely stitched together, and a boundary deduplication algorithm was designed to correct the final counting results to reduce the repeated recognition caused by image cropping. The results show that the recognition accuracy of the Faster R-CNN with optimized parameters for banana image datasets of different sizes can reach up to 0.99 at most. The deduplication algorithm can reduce the average counting error for the original aerial images from 1.60% to 0.60%, and the average counting accuracy of banana seedlings reaches 99.4%. The proposed method effectively addresses the challenge of recognizing dense small objects in high-resolution aerial images, providing an efficient and reliable technical solution for intelligent crop density monitoring in precision agriculture.
Musa/growth & development* ; Crops, Agricultural/growth & development* ; Algorithms ; Neural Networks, Computer ; Unmanned Aerial Devices ; Seedlings/growth & development* ; Image Processing, Computer-Assisted/methods* ; Photography ; Agriculture/methods*

Objective To improve the teaching quality of Sex and Reproductive Health for college students.Methods From February 2008 to June 2010,the general elective course of SeX and reproductive health were offered for students from all the majors in Shanghai Jiao Tong University.The lessons were conducted in the form of lectures,group discussions,role-plays and debates.The self-designed questionnaires were respectively given out after the first class and at the end of the last class in order to have an understanding of the rate of the relevant knowledge known by the students and their suggestions.Results The rate of the relevant knowledge known by the students significantly increased.Some suggestions about the educational reform were received through questionnaire and educational feedback.Conclusion The reproductive health service is needed for college students.Group discussions and role-plays are ideal methods for interactive teaching.

AIM: To observe the effect of continuous epidural analgesia (CEA) of tramadol on postoperative gastrointestinal function and serum motilin level in the patients with cholecystectomy. METHODS: Twenty eight ASAⅠ-Ⅱpatients (8 male, 20 female) aged 24-56 yr, scheduled for elective cholecystectomy under epidural anesthesia, were randomly divided into tramadol group (T, n=14) and control group (C, n=14). The combination of tramadol 800 mg+ bupivacaine 150 mg+ droperidol 5 mg, which diluted with normal saline to 100 ml and pumped 2 ml?h -1, was administered in group T. The combination in group C was bupivacaine 150 mg+ droperidol 5 mg. The VAS values, the first anorectum exhaust timing (FAET), and the time of the first eliminating stool timing (FEST) were recorded, and serum motilin level measured with radioimmunoassay at the different times after surgery. RESULTS: There was a significant difference in the mean VAS values between group T ( 1.2? 1.2) and group C ( 3.3? 1.3) (P

The study of subjects with different serum levels (mmol/L) of glucose, including NC (FPG6.1 mmol/L,