Objective To evaluate the disease risk of Vibrio parahaemolyticus (VP) in aquatic products of raw food in Guangzhou. Methods VP detection was carried out in aquatic products of raw food sold in Guangzhou from 2009 to 2022. Gene sequence and wgSNP analysis of 30 VP strains (including 15 food strains and 15 patient strains) were performed for the detection rate of pathogenic VP. sQMRA was applied to assess VP risk of aquatic products of raw food. Results The detection rate of VP in raw aquatic products in Guangzhou was 7.30% (98/1 343). The detection rate of TDH virulence gene in patient strains was 86.70% (13/15) , and the detection rate of TRH was 6.67% (1/15). In 15 food strains, TDH and TRH were negative. The WgSNP analysis showed that 2 food strains had high similarity with the patient strains, indicating the same cluster. Risk assessment showed that the number of Vibrio parahaemolyticus infection cases caused by intaking aquatic products of raw food in Guangzhou was 384 ever year. Conclusion The detection rate of VP in aquatic products of raw food is high in Guangzhou , and the detection rate of VP virulence genes in aquatic products of raw food is low. Gene sequence and wgSNP analysis can be used for risk assessment of food pathogenic bacteria. The risk of disease of Vibrio parahaemolyticus in aquatic products of raw food is high.

Objective: To explore the relative importance of different food attributes and levels in food decision making of school aged children, and to understand their meal preferences, so as to provide the evidence for formulating precise intervention strategies for dietary behaviours of school aged children. Methods: From May to June 2024, a total of 854 children aged 11 to 15 years old were selected from 2 middle schools (each school in urban and rural areas) in both Hubei Province and Anhui Province by stratified cluster random sampling method to conduct a D-optimal discrete choice experiment. The mixed Logit model was used to analyze children s preference for meal attributes and different levels, and to calculate the relative importance (RI) of attributes and willingness to pay (WTP) in meal choices. Results: The included five food attributes had statistical significance on meal choice of school aged children ( P <0.05). The relative importance of food attributes affecting the meal choices of school aged children in descending order were dining mode ( RI =31.26%), food varieties ( RI =30.56%), cooking method( RI =23.84%), taste( RI =8.06%) and price ( RI =6.27%). Among them, school aged children preferred home cooked meals ( β =0.74) (WTP=86.3 yuan),varied foods(grain/tubers+vegetables+fish, meat, eggs and beans) ( β =0.61) (WTP=71.9 yuan), fried/roasted cooking ( β =0.51) and spicy taste ( β =0.33).Price was negatively correlated with meal choices( β =-0.01) ( P <0.05). Based on residential area and body mass index (BMI), the stratified analysis showed that dining mode was highest in the relative importance for rural children with overweight and obese children ( RI =31.28%,34.17%), both of whom preferred home cooked meals ( β =0.76, 0.91), and meals containing fish, meat, eggs and beans with grain/tubers or grain/tubers and vegetables in terms of food choice (area: β =0.53, 0.53 ; BMI: β =0.55, 0.56) ( P <0.05). Conclusions School aged children have different preferences for different attributes of meals. The quality of school meals should be improved,the cost of buying healthy meals should be reduced,targeted family health education should be carried out,and healthy cooking methods should be advocated.

ObjectiveTo explore the protective effect and underlying mechanism of Gegen Qinliantang on cognitive function in db/db mice with diabetic cognitive impairment （DCI）. MethodsThirty-two 8-week-old male db/db mice were randomly assigned to the model group， dapagliflozin group （1.0 mg·kg^-1·d^-1）， low-dose Gegen Qinliantang group （6.24 g·kg^-1·d^-1）， and high-dose Gegen Qinliantang group （24.96 g·kg^-1·d^-1）. Eight db/m mice served as the normal group. All mice were administered the corresponding treatment once daily by gavage for 10 consecutive weeks. Body weight and fasting blood glucose （FBG） were dynamically monitored. The Morris water maze test was used to evaluate cognitive function. Hematoxylin-eosin （HE） staining and Nissl staining were used to observe pathological changes in the hippocampus. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β） in hippocampal tissue. Immunofluorescence double staining was used to detect the co-expression of M1 microglial marker CD16/32 and ionized calcium-binding adapter molecule 1 （IBA1） in the hippocampus. Western blot analysis was performed to detect the protein expression of postsynaptic density protein 95 （PSD-95）， synapsin （SYN）， nuclear factor-κB p65 （NF-κB p65）， and phosphorylated NF-κB p65 （p-NF-κB p65） in the hippocampus. ResultsCompared with the normal group， the model group showed significantly increased body weight and FBG levels （P<0.01）， significantly prolonged escape latency and reduced platform crossings in the Morris water maze test （P<0.01）， disordered arrangement of hippocampal neurons， nuclear pyknosis， increased neuronal necrosis， reduced Nissl bodies， decreased expression of synaptic proteins PSD-95 and SYN （P<0.01）， increased CD16/32⁺ /IBA1⁺ positive rate， elevated levels of TNF-α and IL-1β， and an increased p-NF-κB p65/NF-κB p65 ratio （P<0.01）. Compared with the model group， the dapagliflozin group exhibited significantly reduced FBG levels at weeks 5 and 10 （P<0.05， P<0.01） and increased body weight. The high-dose Gegen Qinliantang group showed significantly reduced FBG at week 10 （P<0.05）. Escape latency was significantly reduced on days 3 and 5 of the water maze test in the dapagliflozin group and on day 5 in the high-dose Gegen Qinliantang group （P<0.05）. Platform crossings were significantly increased in both the dapagliflozin group and the high-dose Gegen Qinliantang group （P<0.05）. Hippocampal pathological damage was alleviated to varying degrees in the dapagliflozin group and the low- and high-dose Gegen Qinliantang groups， with significantly increased expression of PSD-95 and SYN （P<0.01）. Further studies revealed that both low- and high-dose Gegen Qinliantang reduced hippocampal IL-1β levels and the CD16/32⁺/IBA1⁺ positive rate of microglia， while the high-dose group also significantly reduced hippocampal TNF-α levels and the p-NF-κB p65/NF-κB p65 （P<0.05， P<0.01）. ConclusionGegen Qinliantang can improve hyperglycemia， cognitive dysfunction， and synaptic damage in DCI， inhibit M1 polarization of microglia and neuroinflammation， and its mechanism may be related to the inhibition of NF-κB activation.

ObjectiveTo explore the protective effect and underlying mechanism of Gegen Qinliantang on cognitive function in db/db mice with diabetic cognitive impairment （DCI）. MethodsThirty-two 8-week-old male db/db mice were randomly assigned to the model group， dapagliflozin group （1.0 mg·kg^-1·d^-1）， low-dose Gegen Qinliantang group （6.24 g·kg^-1·d^-1）， and high-dose Gegen Qinliantang group （24.96 g·kg^-1·d^-1）. Eight db/m mice served as the normal group. All mice were administered the corresponding treatment once daily by gavage for 10 consecutive weeks. Body weight and fasting blood glucose （FBG） were dynamically monitored. The Morris water maze test was used to evaluate cognitive function. Hematoxylin-eosin （HE） staining and Nissl staining were used to observe pathological changes in the hippocampus. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β） in hippocampal tissue. Immunofluorescence double staining was used to detect the co-expression of M1 microglial marker CD16/32 and ionized calcium-binding adapter molecule 1 （IBA1） in the hippocampus. Western blot analysis was performed to detect the protein expression of postsynaptic density protein 95 （PSD-95）， synapsin （SYN）， nuclear factor-κB p65 （NF-κB p65）， and phosphorylated NF-κB p65 （p-NF-κB p65） in the hippocampus. ResultsCompared with the normal group， the model group showed significantly increased body weight and FBG levels （P<0.01）， significantly prolonged escape latency and reduced platform crossings in the Morris water maze test （P<0.01）， disordered arrangement of hippocampal neurons， nuclear pyknosis， increased neuronal necrosis， reduced Nissl bodies， decreased expression of synaptic proteins PSD-95 and SYN （P<0.01）， increased CD16/32⁺ /IBA1⁺ positive rate， elevated levels of TNF-α and IL-1β， and an increased p-NF-κB p65/NF-κB p65 ratio （P<0.01）. Compared with the model group， the dapagliflozin group exhibited significantly reduced FBG levels at weeks 5 and 10 （P<0.05， P<0.01） and increased body weight. The high-dose Gegen Qinliantang group showed significantly reduced FBG at week 10 （P<0.05）. Escape latency was significantly reduced on days 3 and 5 of the water maze test in the dapagliflozin group and on day 5 in the high-dose Gegen Qinliantang group （P<0.05）. Platform crossings were significantly increased in both the dapagliflozin group and the high-dose Gegen Qinliantang group （P<0.05）. Hippocampal pathological damage was alleviated to varying degrees in the dapagliflozin group and the low- and high-dose Gegen Qinliantang groups， with significantly increased expression of PSD-95 and SYN （P<0.01）. Further studies revealed that both low- and high-dose Gegen Qinliantang reduced hippocampal IL-1β levels and the CD16/32⁺/IBA1⁺ positive rate of microglia， while the high-dose group also significantly reduced hippocampal TNF-α levels and the p-NF-κB p65/NF-κB p65 （P<0.05， P<0.01）. ConclusionGegen Qinliantang can improve hyperglycemia， cognitive dysfunction， and synaptic damage in DCI， inhibit M1 polarization of microglia and neuroinflammation， and its mechanism may be related to the inhibition of NF-κB activation.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

Objective To explore the efficiency improvement in segmenting neural network with the application of Transformer + U-Net artificial intelligence (AI) and modeling with the application of Python scripts in three-dimensional (3D) printing brachytherapy. Methods A Transformer + U-Net AI neural network model was constructed, and Adam optimizer was used to ensure rapid gradient descent. Computed tomography or magnetic resonance imaging data of patients were standardized and processed as self-made data sets. The training set was used to train AI and the optimal result weight parameters were saved. The test set was used to evaluate the AI ability. Python programming language was used to write an automated script to obtain the output segmentation image and convert it to the STL file for import. The source applicator and needle could be automatically modeled. The time of automatic segmentation and modeling and the time of manual segmentation and modeling were entered by two people, and the difference was verified by paired t-test. Results Dice similarity coefficient (DSC), mean intersection over union (MIOU), and Hausdorff distance (HD95) were used for evaluation. DSC was 0.9341, MIOU was 0.8762, and mean HD95 was 2.516. The mean time of manual segmentation was 1187 s, and the mean time of AI segmentation was 145 s (P < 0.01). The mean time of manual modeling was 321 s, and the mean time of modeling with Python automated scripts was 18 s (P < 0.01). Conclusion The application of Transformer + U-Net automatic segmentation and Python automated scripts can effectively improve work efficiency in the 3D printing brachytherapy for cervical cancer.