Objective:To explore the construction of an evaluation model for aortic root anatomy and calcium burden in patients with bicuspid aortic valve (BAV) stenosis before transcatheter aortic valve replacement (TAVR) based on deep learning (DL) algorithms.Methods:A retrospective collection of 362 BAV stenosis patients who underwent TAVR from September 2023 to May 2024 was performed. All patients underwent cardiac CT angiography. The patients were divided into training group ( n=104), internal validation group ( n=206), and external validation group ( n=52). A DL model was trained on the training dataset to assess aortic root anatomy and calcification burden. The evaluation included the segmentation accuracy of the algorithm, the measurement performance of key anatomical structures (i.e., valve leaflets and type-1 and type-2 fusion raphe), and calcification burden, as well as the measurement efficiency. Overall segmentation performance was assessed using the average Dice coefficient (ADC). The fine-scale segmentation quality was validated by the 95th-percentile Hausdorff distance (HD-95) and the average symmetric surface distance (ASSD). The consistency of the measurement results was assessed using the Pearson correlation coefficient and the intraclass correlation coefficient ( ICC) with a two-way mixed model for absolute agreement. In addition, the total time and total mouse movement distance required for manual assessment versus the DL model on the validation datasets were recorded and compared. Results:The algorithm demonstrated excellent segmentation performance on aortic root anatomical targets, achieving outstanding consistency within both internal and external validation datasets (0.955

Objective:To construct a hierarchical training course system for neonatal nurses based on core competencies, to provide a reference for meeting the training needs of neonatal nurses under the new situation.Methods:Through literature review, questionnaire survey on training needs, and focus group interviews, a preliminary hierarchical training curriculum system for neonatal nurses was developed. Two rounds of Delphi correspondence were conducted with 19 domestic experts to finalize the system.Results:The effective questionnaire recovery rates of the two rounds of expert consultation were 95.00% and 100.00%, and the expert authority coefficient was 0.916, the Kendall harmony coefficient of the first round of expert opinions was 0.351 ( P<0.001), and the Kendall harmony coefficient of the second round of expert opinions was 0.463 ( P<0.001). The hierarchical training course structure and course training content are formed, including N0: 3 first-level items, 9 second-level items, 80 third-level items, N1: 3 first-level items, 9 second-level items, 91 third-level items, N2: 3 first-level items, 9 second-level items, 86 third-level items, N3: 3 first-level items, 10 second-level items, 81 third-level items, N4: 3 first-level items, 10 second-level items, 76 third-level items. Conclusions:The hierarchical training course system for neonatal nurses based on the core competence of nurses is scientific and practical, which can provide a reference for the hierarchical training of neonatal nurses.

Objective:To construct a hierarchical training course system for neonatal nurses based on core competencies, to provide a reference for meeting the training needs of neonatal nurses under the new situation.Methods:Through literature review, questionnaire survey on training needs, and focus group interviews, a preliminary hierarchical training curriculum system for neonatal nurses was developed. Two rounds of Delphi correspondence were conducted with 19 domestic experts to finalize the system.Results:The effective questionnaire recovery rates of the two rounds of expert consultation were 95.00% and 100.00%, and the expert authority coefficient was 0.916, the Kendall harmony coefficient of the first round of expert opinions was 0.351 ( P<0.001), and the Kendall harmony coefficient of the second round of expert opinions was 0.463 ( P<0.001). The hierarchical training course structure and course training content are formed, including N0: 3 first-level items, 9 second-level items, 80 third-level items, N1: 3 first-level items, 9 second-level items, 91 third-level items, N2: 3 first-level items, 9 second-level items, 86 third-level items, N3: 3 first-level items, 10 second-level items, 81 third-level items, N4: 3 first-level items, 10 second-level items, 76 third-level items. Conclusions:The hierarchical training course system for neonatal nurses based on the core competence of nurses is scientific and practical, which can provide a reference for the hierarchical training of neonatal nurses.

Objective:To explore the construction of an evaluation model for aortic root anatomy and calcium burden in patients with bicuspid aortic valve (BAV) stenosis before transcatheter aortic valve replacement (TAVR) based on deep learning (DL) algorithms.Methods:A retrospective collection of 362 BAV stenosis patients who underwent TAVR from September 2023 to May 2024 was performed. All patients underwent cardiac CT angiography. The patients were divided into training group ( n=104), internal validation group ( n=206), and external validation group ( n=52). A DL model was trained on the training dataset to assess aortic root anatomy and calcification burden. The evaluation included the segmentation accuracy of the algorithm, the measurement performance of key anatomical structures (i.e., valve leaflets and type-1 and type-2 fusion raphe), and calcification burden, as well as the measurement efficiency. Overall segmentation performance was assessed using the average Dice coefficient (ADC). The fine-scale segmentation quality was validated by the 95th-percentile Hausdorff distance (HD-95) and the average symmetric surface distance (ASSD). The consistency of the measurement results was assessed using the Pearson correlation coefficient and the intraclass correlation coefficient ( ICC) with a two-way mixed model for absolute agreement. In addition, the total time and total mouse movement distance required for manual assessment versus the DL model on the validation datasets were recorded and compared. Results:The algorithm demonstrated excellent segmentation performance on aortic root anatomical targets, achieving outstanding consistency within both internal and external validation datasets (0.955

Objective:To evaluate the real-world safety of the domestic rotavirus attenuated live vaccine in China.Methods:Studies on the incidence of adverse event following immunization (AEFI) published from January 1, 2020 to July 31, 2023 were retrieved from National Knowledge Infrastructure (CNKI), CQVIP, Wanfang Database, PubMed, Medline, and Embase. Surveillance data about AEFI reports related to the domestic rotavirus vaccine rotavirus were collected. A meta-analysis on the safety of the rotavirus vaccine after vaccination was conducted using R software, and subgroup analyses were conducted on the incidence of AEFI in different regions and time periods.Results:A total of 36 articles were included involving 25.332 million doses of vaccine. The incidence of AEFI associated with the domestic rotavirus vaccine was 19/100 000 doses [95%CI: 15/100 000-24/100 000 doses]; the incidence was 26/100 000 doses [95%CI: 17/100 000-39/100 000 doses] in the northern regions and 16/100 000 doses [95%CI: 11/100 000-23/100 000 doses] in the southern regions; it was 24/100 000 doses [95%CI: 12/100 000-45/100 000 doses] before 2017 and 27/100 000 doses [95%CI: 18/100 000-39/100 000 doses] after 2017.Conclusions:The incidence of AEFI related to the domestic rotavirus vaccine is within the expected range, and the safety of the vaccine is good based on the real-world data.

ObjectiveTo explore the underlying mechanism by which the Chinese medicine compound Yitangkang granule（YTK） treats diabetic kidney disease （DKD） by observing its effects on podocyte autophagy through the regulation of phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/forkhead transcription factor O1 （FoxO1） signaling pathway mediated by silent information regulator 1 （SIRT1） via advanced glycation end products （AGE）/receptor for AGE （RAGE） axis. MethodNinety-six 8-week-old healthy male SPF-grade Wistar rats were selected and randomly divided into blank control group （B）， model control group， high-dose YTK （40 g·kg^-1）， medium-dose YTK （20 g·kg^-1）， low-dose YTK （10 g·kg^-1）， and Western medicine control （20 mg·kg^-1 losartan） groups. The DKD rat model was established by high-fat diet feeding combined with intraperitoneal injection of streptozotocin. After successful modeling， the rats in each group received the corresponding treatments for eight weeks. The levels of superoxide dismutase （SOD）， malondialdehyde （MDA）， glutathione peroxidase （GSH-Px）， and catalase （CAT） were measured according to the instructions of the respective assay kits. Hematoxylin and eosin （HE） staining was used to observe pathological changes in kidney tissues. Immunohistochemistry was employed to detect the average optical density values of α-smooth muscle actin （α-SMA）， fibronectin （FN）， desmin， and nephrin. Western blot analysis was used to measure the expression levels of PI3K， phosphorylated PI3K （p-PI3K）， Akt， phosphorylated Akt （p-Akt）， RAGE， SIRT1， Caspase-3， and FoxO1 proteins in kidney tissues of DKD rats. ResultCompared with the blank control group， the model group showed significantly lower levels of SOD， GSH-Px， and CAT， and significantly higher levels of MDA （P<0.01）. The rats exhibited severe kidney damage. The positive expression of podocyte marker proteins α-SMA， FN， and desmin increased significantly， while nephrin and podocin significantly decreased （P<0.01）. The expression levels of PI3K， p-PI3K， Akt， p-Akt， RAGE， and Caspase-3 proteins were significantly elevated， while SIRT1 and FoxO1 protein levels were significantly reduced （P<0.01）. Compared with the model control group， rats in the YTK treatment groups showed significantly higher levels of SOD， GSH-Px， and CAT， and significantly lower levels of MDA in serum （P<0.01）. The degree of kidney damage was reduced to varying extents. The average optical density values of podocyte marker proteins α-SMA， FN， and desmin were significantly decreased， while nephrin and podocin significantly increased （P<0.01）. The expression levels of PI3K， p-PI3K， Akt， p-Akt， RAGE， and Caspase-3 in kidney tissues were significantly reduced， while SIRT1 and FoxO1 expression levels significantly increased （P<0.01）. The Chinese medicine groups demonstrated a clear dose-response trend. ConclusionYTK may alleviate kidney pathological damage， reduce proteinuria， and protect kidney function in DKD rats， thereby delaying the progression of DKD by improving podocyte autophagy through the AGE-RAGE axis-mediated SIRT1 regulation of the PI3K/Akt/FoxO1 signaling pathway. Additionally， a dose-response relationship was observed in the Chinese medicine groups.

Objective: To study the lumber spine imaging process of dual-energy X-ray absorptiometry (DXA) and parameters used to optimize the image quality. Methods: A computational voxel phantom was constructed from patient computed tomography (CT) data. Using the Monte Carlo radiation transport method, a dual energy x-ray beam was simulated to scan the phantom of lumbar spine to generate a bone density image. The Figure of Merit (FOM) of each image was claculated. Parameters including the combination of the high and low energy tube voltage, the thickness of Cu filter, and the ratio of two beam energy incident photon number were optimized, which based on FOM. Results: FOM reaches a minimum of 1.59 × 10^-2 with the tube voltage combination of 75 and 200 kVp. With the thickness of the Cu filter from 0 mm to 3 mm, FOM decreases from 6.30×10^-2 to 1.87×10^-2, showing a gradually slow-down trend. With the incident photon number ratio (low energy/high energy) increasing from 1∶3 to 19∶1, FOM decreases firstly and then increases, reaching a minimum of 1.40×10^-2 at 3∶1. Conclusions According to the simulation results, the combinations of low tube voltage from 70 kVp to 85 kVp and high tube voltage from 160 kVp to 200 kVp, 0.3 mm Cu filter and beam incident photon number ratio from 1 to 5 can yield the best lumbar spine image quality with the lowest patient dose.

Objective To evaluate the ocular pharmacokinetics of a novel antibody, MIL60, tar-geting vascular endothelial growth factor ( VEGF) after subconjunctival injection. Methods After subcon-junctival injection of MIL60 in rabbits, aqueous humour, vitreous from both eyes and peripheral blood were collected of each rabbit to analyze the concentration of MIL60 with ELISA. Results After subconjunctival administration, MIL60 could penetrate into the injected eye′s anterior chamber and vitreous, and maintained at an effective concentration in the aqueous or vitreous for about 10. 7 or 6. 8 days. Moreover, MIL60 could be found in the uninjected eye. Conclusion After subconjunctival injection, MIL60 could maintain at a therapeutic concentration in injected eyes. The pharmacokinetics analysis of MIL60 might provide some basis and guidance for its application in humans in the near future.

Objective To develop an online organ doses reporting software VirtualDose-IR, which can compute the radiation doses and provide an easy access to evaluation and control of patients ′radiation doses.Methods Monte Carlo method was applied to simulating various interventional radiology ( IR) processes , which included various parameters such as different patient models at different ages and with different weights , different projection angles and regions of interest , and other parameters .All of the dose data was acquired and then integrated into a database , and displayed with hyper text markup language (HTML), so only a web browser was necessary for users .Results A web-based software that reports organ doses for patients under IR progress was developed .The organ doses assessed with VirtualDose-IR were compared with other experiment and simulation data , and the results were basically consistent with each other .Conclusions VirtualDose-IR is a easy and efficient method to assess patients′radiation doses of IR.

Aim To further study the molecular mecha-nism of the herbs with hot nature on the regulational action on TRPV1 channel based on the 7900 Real-time PCR instrument. Methods 7900 PCR instrument was applied to detect the intracellular flurescence of TRPV1 channel in the dorsal root ganglions ( DRG ) neurons and the effect on the TRPV1 ’ s thermo-sensational functions of the selected 11 ingredients from hot herbs was explored. Results TRPV1 channels could be ac-tivated by gradually elevated temperature; the activa-tion process could be blocked by the TRPV1 specific blocking agent capsaizepine. Most of the ingredients from hot-nature herbs had the potential to up-regualate TRPV1 channel function. Conclusions The estab-lished TRPV1 channel detection system based on PCR instrument is suitable for the analysis of regulational functions of drugs on the heat-activated TRPV1 chan-nel;the functions of hot herbs may be related to the up-regualtional effects of its active ingredients on the TRPV1 channel which will further up-regulate energy metabolism.