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Objective To understand the status quo of infectious disease reports automatically exchanged by secondary and above medical institutions in Sichuan province based on regional platform, and provide basis for improving the work on automatic exchange of infectious disease information reports in the next step. Methods Check and calculate the success rates of exchange and rough exchange through the system, the use of the infectious disease reporting management related systems was investigated by questionnaire survey, T - test and chi - square test were used for comparison between groups, and spearman correlation analysis was used for correlation. Results From July to September 2023, the exchange success rate in 68 medical institutions was 92. 67%, and the success rate of crude exchange reached 95. 87%. Compared with other level medical institutions, municipal medical institutions had higher success rate of exchange and crude exchange, and longer time interval to realize automatic exchange. The exchange success rate was positively correlated with the time interval to realize automatic exchange (r = 0. 44, P < 0. 001) and the crude exchange success rate (r = 0. 51, P < 0. 001). More than 90% of the institutions had HIS, LIS, PACS. 77. 94% of the institutions could automatically generate the report card, more than 80% had the report card management and information statistics query functions. 73. 53% realized the automatic early warning of infectious disease report card, and 25% of the institutions reported the card forcibly after the early warning. 88. 24% felt that the workload of infectious disease report was reduced after automatic exchange. Conclusion The success rate of automatic exchange and the success rate of crude exchange in medical institutions were higher overall, municipal medical institutions were higher than other levels of medical institutions. The construction rate of basic information system in medical institutions was high, but the basic functions of automatic exchange were not perfect. Automatic exchange improves the efficiency of reporting to some extent, but it still could not completely replace manual reporting. [ABSTRACT FROM AUTHOR]

Aldosterone is a kind of steroid hormone produced by the zona glomerulosa (ZG) cells of the adrenal cortex which plays a crucial regulatory role in fluid-electrolyte balance and blood pressure stability. Aldosterone biosynthesis is a calcium-dependent process, and ion channels play a key role in this process. Primary aldosteronism is closely related to mutations in ion channels. Recent studies have highlighted an intriguing relationship between the unique rosette structure of ZG cells and their electrical excitability. Elucidating the connection between rosettes and ZG cell electrical excitability as well as aldosterone secretion leads to a deeper understanding of the mechanisms regulating aldosterone secretion and may provide new insights into the pathogenesis of primary aldosteronism. [ABSTRACT FROM AUTHOR]

Automatic lane change of vehicles requires driving at the fastest possible speed while ensuring no collision situations. However, regular control is not robust enough to handle unexpected situations or respond to lane separation. To solve these problems, an automatic lane change decision model based on dueling double deep Q-network(D3QN) reinforcement learning model is proposed. The algorithm processes the environmental vehicle information fed back by the internet of vehicles, and then obtains actions through strategies. After the actions are executed, the neural network is trained according to given reward function, and finally the automatic lane change strategy is realized through the trained network and reinforcement learning. The three-lane environment built by Python and the vehicle simulation software CarMaker are used to carry out simulation experiments. The results show that the algorithm proposed has a good control effect, making it feasible and effective. [ABSTRACT FROM AUTHOR]

In order to study the influence of the stress direction during underground engineering excavation on the strength of weakly cemented soft rock, the soft rock samples were obtained from the coal mine roadway engineering soft rock and the GDS(Global Digital Systems) hollow cylindrical test system was used to determine the average fixed principal stress. The deviation stress under the action of the rotation of the principal stress axes, the stress path of the soft rock mechanics, and rotation angle of the principal stress axes of weakly consolidated soft rock specimen were studied, and the stress-strain characteristics as well as the influence of the strength characteristics was determined. Based on the test results and power function model, an empirical equation of the shear strain of weakly consolidated soft rock under the principal stress axis was established. The results show that the deformation of weakly consolidated soft rock accumulates with the rotation of the principal stress axis, and with the rotation angle of the principal stress axis increases, the axial strain and shear strain rates increase rapidly, and the cumulative deformation also increases.The rotation of the principal stress axis accelerates the accumulation of the axial strain of the specimens.The shear formular can effectively predict the shear strain variation law of weakly consolidated soft rock under the stress axis rotation. Additionally, it can be applied in the deformation prediction of practical engineering. [ABSTRACT FROM AUTHOR]

A conditional generative adversarial network-based high perceptual image compression(HPIC) model was proposed to obtain a compressed image that conforms to human visual perception. In HPIC， the original image was encoded and quantized based on a hyper prior probability model. A generator based on the conditional additional label and residual module was used for the reconstruction of the compressed image， and a discriminator based on the convolutional neural network was used to distinguish the difference between the compressed image and the real image. Based on the bit rate-distortion-perception optimization theory to design the loss function， the perceptual distortion metric was chosen based on the eigenvalues of the pre-trained inception network to achieve image compression reconstruction with high perceptual quality on the one hand， and use the adversarial generation network loss to eliminate compression artifacts and improve the compression accuracy on the other hand. The experimental results show that HPIC achieves a good balance in the bit rate-distortion-perception tradeoff and outperforms the current common algorithms in all perceptual metrics scores， even though the latter uses twice as much bit rate as ours. HPIC can achieve compression with high perceptual quality. [ABSTRACT FROM AUTHOR]

目的 探讨并发重度肢体缺血性坏疽伴感染的下肢动脉硬化闭塞症 (ASD) 患者血管腔内介入术后截肢 的影响因素, 构建术后截肢风险预测模型。方法　选择行血管腔内介入术治疗的 106 例 ASD 并发重度肢体缺血性 坏疽伴感染患者, 根据术后是否截肢分为截肢组 20 例和非截肢组 86 例。收集患者临床资料、感染严重程度、感染病 原菌分布、实验室指标等。采用多因素 Logistic 回归分析影响患者截肢的因素, 根据筛选出的危险因素和回归系数 建立风险预测模型, 并采用 ROC 曲线分析该模型对患者术后截肢的预测价值。结果　截肢组年龄、ABI 及合并糖尿 病、卢瑟福6级、吸烟史比例高于非截肢组 (P均<0.05)。截肢组重度感染比例高于非截肢组 (P<0.05)。106 份样本 中共检出 148 株病原菌, 其中截肢组检出34株病原菌, 以奇异变形菌、大肠埃希菌比例最高; 非截肢组检出 114 株病 原菌, 以铜绿假单胞菌、金黄色葡萄球菌比例最高。截肢组 WBC、NLR、PLR、CRP、PCT 高于非截肢组, Alb、Hb 低于 非截肢组 (P均<0.05)。多因素 Logistic 回归分析显示, 合并糖尿病、卢瑟福分级为6级、重度感染、ABI 低、病原菌为 奇异变形菌、Alb 及 Hb 水平降低是 ASD 并发足部重度肢体缺血性坏疽伴感染患者截肢的危险因素 (P均<0.05)。以 上述危险因素构建的预测模型为: 0.865+0.860×糖尿病+1.651×卢瑟福 6 级+1.296×重度感染-1.308×ABI+1.607× 奇异变形菌-1.153×Alb-1.183×Hb, 该模型预测术后截肢的曲线下面积为 0.904 (0.824～0.982), 灵敏度为 94.0%, 特异度为 87.4%。结论 并发重度肢体缺血性坏疽伴感染的 ASD 患者血管腔内介入术后仍有较高截肢率, 糖尿 病、重度感染、ABI<0.52、奇异变形菌等会增加术后截肢风险, 以上述危险因素构建的预测模型对并发重度肢体缺 血性坏疽伴感染的 ASD 患者血管腔内介入术后截肢有较高的预测价值。 [ABSTRACT FROM AUTHOR]

In order to study the shear strength characteristics of polypropylene fiber-reinforced cement aeolian sand, the orthogonal test method was used to conduct unconsolidated undrained triaxial (UU) test to study the effects of fiber content, fiber length, cement content, and water content on the shear strength of fiber-reinforced cement aeolian sand. The results show that the main and secondary factors influencing the shear strength of fiber-reinforced aeolite sand are cement content, fiber length, water content, and fiber content.The optimal test ratio is cement content 10%, fiber length 12 mm, water content 8% and fiber content 0.2%. The peak stress and strain of cement eolian sand can be significantly increased by adding the appropriate amount of fiber into the sample. The cohesion increases first and then decreases with the increase of fiber content, and increases with the increase of fiber length. The influence of fiber content on internal friction angle is small. The research results can provide the scientific basis for the prevention and treatment of fiber-reinforced cement eolian sand roadbeds. [ABSTRACT FROM AUTHOR]

Objective: This study is to research and develop a simple and rapid method to directly differentiate the induced pluripotent stem cells (iPS) into functional hepatocytes in vitro. Methods: According to the development of normal hepatocytes in vitro, a simplified method was designed for differentiation of iPS cells into endodermal cells. The phenotypes of endodermal cells was identified by qPCR and flow cytometry, and then these cells were further differentiated into hepatocyte-like cells. The characteristics and functions of hepatocytes were identified by qPCR, ELISA and immunofluorescence. Results: The results showed that the mRNA/protein expression of OCT4 and NANOG were decreased significantly, and the mRNA/protein expression of endodermal cell-related genes, CXCR4, FOXA2 and HNF4A,were increased significantly at day 7 after iPS cell induction. Hepatocyte specific marker genes ALB, TDO2, RBP4, G6PC and hepatocyte drug enzyme genes CYPs were significantly upregulated at day 15, and high levels of albumin and urea were produced simultaneously. Positive PAS glycogen staining and active uptake and release of indocyanine green were observed in the induced hepatocytes. It was confirmed that the hepatocyte-like cells had the partial functions of primary hepatocytes. Conclusion: This easy and efficient induction method can be used in differentiation of iPS cells into functional hepatocytes by mimicking the process of liver organogenesis in vitro. This study provides the possibility for massive production of iPS-derived hepatocytes and their applications in cellular therapy and drug screening models. [ABSTRACT FROM AUTHOR]

Objective: This study is to research and develop a simple and rapid method to directly differentiate the induced pluripotent stem cells (i PS) into functional hepatocytes in vitro. Methods: According to the development of normal hepatocytes in vitro, a simplified method was designed for differentiation of i PS cells into endodermal cells. The phenotypes of endodermal cells was identified by q PCR and flow cytometry, and then these cells were further differentiated into hepatocyte-like cells. The characteristics and functions of hepatocytes were identified by qPCR, ELISA and immunofluorescence. Results: The results showed that the m RNA/protein expression of OCT4 and NANOG were decreased significantly, and the m RNA/protein expression of endodermal cell-related genes, CXCR4, FOXA2and HNF4A,were increased significantly at day 7 after i PS cell induction. Hepatocyte specific marker genes ALB, TDO2, RBP4, G6PC and hepatocyte drug enzyme genes CYPs were significantly upregulated at day 15, and high levels of albumin and urea were produced simultaneously. Positive PAS glycogen staining and active uptake and release of indocyanine green were observed in the induced hepatocytes. It was confirmed that the hepatocyte-like cells had the partial functions of primary hepatocytes. Conclusion: This easy and efficient induction method can be used in differentiation of i PS cells into functional hepatocytes by mimicking the process of liver organogenesis in vitro. This study provides the possibility for massive production of i PS-derived hepatocytes and their applications in cellular therapy and drug screening models. [ABSTRACT FROM AUTHOR]