ObjectiveTo explore the effect of different drying conditions on the appearance and intrinsic quality indicators of Pinelliae Rhizoma for screening suitable drying conditions， so as to provide reference for its standardized production and quality evaluation. MethodsDifferent dried samples of Pinelliae Rhizoma were prepared by lime-assisted sweating method and intermittent drying method. Visual analysis was employed to measure the color brightness values（L^*） of the surface， cross-section and powder of the samples， texture analyzer was used to determine the hardness of the samples under different drying conditions. The total starch content was calculated by measuring the contents of amylose and amylopectin in the samples with ultraviolet-visible spectroscopy. High performance liquid chromatography（HPLC） was used to determine the contents of seven nucleoside components（uracil， hypoxanthine， uridine， inosine， guanosine， β-thymidine and adenosine） in the samples. Pearson correlation analysis was conducted to explore the correlation between the external characteristics and intrinsic indicators of the different dried samples. Principal component analysis（PCA） was used to comprehensively rank the data of various indicators， and partial least squares-discriminant analysis（PLS-DA） was used to screen differential components with variable importance in the projection（VIP） value>1. Furthermore， the difference between the optimal drying condition for Pinelliae Rhizoma and the traditional sun-drying method was explored by independent samples t-test. ResultsWith the increase of temperature， the color of the intermittently dried samples gradually deepened， while their hardness gradually decreased. Concurrently， the contents of extract， total starch， uridine and adenosine exhibited an upward trend， whereas the contents of uracil， hypoxanthine and inosine displayed a downward trajectory. Compared with the intermittent drying group， the content of extract in the samples subjected to lime-assisted sweating increased. With the increase of lime dose， the hardness and the total content of nucleoside components in the samples showed a downward trend， while the total starch content showed an upward trend. Correlation analysis showed that the comprehensive score of L^* was negatively correlated with the contents of uracil， hypoxanthine and inosine， and positively correlated with the contents of uridine， guanosine and adenosine. Hardness was negatively correlated with adenosine content， and positively correlated with the contents of inosine， uracil and hypoxanthine. Through comprehensive consideration and comprehensive score of principal components， the method of 5% lime-mixed sweating for 6 days emerged as the top-ranking approach. Except for the extract， the results of independent samples t-test showed that there was no significant difference between the 5% lime-mixed sweating for 6 days and the traditional sun-drying in terms of other content indicators. ConclusionThe whiteness and firmness of Pinelliae Rhizoma exhibit significant correlations with its chemical composition， while uridine， uracil， guanosine， adenosine and inosine are the key constituents responsible for the quality difference of Pinelliae Rhizoma under different drying conditions. The lime-assisted sweating method optimized in this study can be proposed as a viable alternative to the traditional sun-drying method. This method not only ensures the quality of the medicinal material but also effectively reduces the drying time and prevents mold contamination， which provides a valuable reference for the standardization of drying conditions and the establishment of quality evaluation criteria for Pinelliae Rhizoma.

Background::Evidence indicates that low muscle strength is associated with an increased cardiovascular diseases (CVDs) risk. However, the association between muscle strength changes based on repeated measurements and CVD incidence remains unclear.Methods::The study used data from the China Health and Retirement Longitudinal Study in 2011 (Wave 1), 2013 (Wave 2), 2015 (Wave 3), and 2018 (Wave 4). Low muscle strength was defined as handgrip strength <28 kg for men or <18 kg for women, or chair-rising time ≥12 s. Based on changes in muscle strength from Waves 1 to 2, participants were categorized into four groups of Normal-Normal, Low-Normal, Normal-Low, and Low-Low. CVD events, including heart disease and stroke, were recorded using a self-reported questionnaire during Waves 3 and 4 visits. Cox proportional hazards models were used to investigate the association between muscle strength changes and CVD incidence after multivariable adjustments. Hazard ratios (HRs) and 95% confidence intervals (95% CIs) were estimated with the Normal-Normal group as the reference.Results::A total of 1164 CVD cases were identified among 6608 participants. Compared to participants with sustained normal muscle strength, the CVD risks increased progressively across groups of the Low-Normal (HR = 1.20, 95% CI: 1.01-1.43), the Normal-Low (HR = 1.35, 95% CI: 1.14-1.60), and the Low-Low (HR = 1.76, 95% CI: 1.49-2.07). Similar patterns were observed for the significant associations between muscle strength status and the incidence risks of heart disease and stroke. Subgroup analyses showed that the significant associations between CVD and muscle strength changes were consistent across age, sex, and body mass index (BMI) categories.Conclusions::The study found that muscle strength changes were associated with CVD risk. This suggests that continuous tracking of muscle status may be helpful in screening cardiovascular risk.

Objective:To develop a deep learning model based on multimodal data for glaucoma diagnosis and severity assessment.Methods:A diagnostic test was conducted.A total of 145 normal eyes from 86 participants and 507 eyes with primary open-angle glaucoma from 314 participants were collected at the First Affiliated Hospital of Kunming Medical University from June to December in 2023.Fundus photographs and visual field data were obtained, and glaucoma eyes were divided into three groups based on the mean deviation value of the visual field, namely mild group (154 eyes), moderate group (113 eyes), and severe group (240 eyes).Three convolutional neural network (CNN) models, including DenseNet 121, ResNet 50 and VGG 19, were used to build an artificial intelligence (AI) model.The impact of single-modal and multimodal data on the classification results was evaluated, and the most appropriate CNN network architecture for multimodal data was identified.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of The First Affiliated Hospital of Kunming Medical University (No.2023L93).Written informed consent was obtained from each subject.Results:A total of 652 eyes had both fundus photographs and visual field test results.Images were randomly assigned to training and test datasets in a 4∶1 ratio by using computer random number method.AI models built with different CNN models showed high accuracy, with DenseNet 121 outperforming ResNet 50 and VGG 19 on various effectiveness measures.In the single-modal algorithm using fundus photographs, single-modal algorithm using visual field tests, and multimodal algorithm combining fundus photographs and visual field data, the area under the curve for early glaucoma detection was 0.87, 0.93 and 0.95, respectively.Conclusions:The use of multimodal data enables the development of a highly accurate tool for the glaucoma diagnosis and severity grading.

Objective:To evaluate the application effect of intelligent digital technology combined with quality control index system management mode in the management of large medical imaging equipment.Methods:Based on the composition and operation of medical imaging equipment,the intelligent digital technology and quality control parameter system architecture were integrated,and the joint management mechanism was used to manage large medical imaging equipment.A total of 26 medical imaging equipment in clinical use in Wuhan First Hospital from 2022-2023 were selected.According to different equipment management methods,conventional management method(13 units)and intelligent digital technology combined with the quality control index system mode(referred to as intelligent mode)(13 units)were adopted for management.The clinical effectiveness,management quality,management level and recognition scores of management personnel involved in the use of medical imaging equipment were compared between the two management methods.Results:The average start-up rate,operation rate,and turnover rate of the equipment managed by intelligent mode were(90.56±4.69)％,(12.36±2.45)％and(15.69±3.65)％,respectively,which were higher than those of conventional management method,the difference was statistically significant(t=13.366,15.637,9.082,P＜0.05).The average scores of clinical operation,information data,quality control and maintenance of the equipment managed by intelligent mode were(93.65±4.21)points,(94.65±4.36)points,(95.36±6.56)points and(94.26±5.63)points,respectively,which were higher than those of conventional management method,the difference was statistically significant(t=7.794,6.818,6.918,10.136,P＜0.05).The reasonable placement rate,standardized recording rate and equipment serviceability rate of equipment managed by intelligent mode were 76.92％(10/13),84.61％(11/13)and 84.61％(11/13),respectively,which were higher than those of conventional management method,the difference was statistically significant(x2=8.714,12.462,9.905,P＜0.05).The recognition scores of engineers,operators,medical staff and managers involved in the management and use of equipment were(93.54±3.65)points,(92.58±4.58)points,(90.78±3.14)points and(92.65±3.41)points,respectively,which were higher than those of conventional management method,the differences was statistically significant(t=3.333,4.142,6.424,7.278,P＜0.05).Conclusion:The application of intelligent digital technology combined with quality control index system management mode in the management of large medical imaging equipment can improve the quality of clinical use of equipment,enhance equipment technical support capabilities,and reduce equipment failure rate.

Ductal carcinoma in situ of the breast (DCIS) most commonly manifests as asymptomatic calcifications at mammography. The most common manifestation of MRI is nonmass enhancement. The ultrasound mainly presents as a hypoechoic irregular hypervascular mass without posterior features. Core-needle biopsy is a commonly used method for preoperative diagnosis of DCIS. Due to differences in needle type and sample size, there is a certain degree of pathological upgrading of the lesion. In recent years, there has been controversy over the diagnosis and treatment of DCIS. With the development of breast disease diagnostic technology, advances in digital breast tomography, artificial intelligence, and radiomics are expected to help DCIS management and address issues such as overdiagnosis.

BACKGROUND:In recent years,increasing studies have shown that low-intensity pulsed ultrasound can promote the healing of acute tendon injuries,but the specific mechanism is still unclear. OBJECTIVE:To observe the effect of low-intensity pulsed ultrasound on early angiogenesis after acute tendon injury,and to detect the regulatory relationship of low-intensity pulsed ultrasound with vascular endothelial growth factor-related signaling pathways,so as to reveal its potential mechanism of action. METHODS:Animal models of acute Achilles tendon injury were established using local injection of type I collagenase for 3 days in SPF male Sprague-Dawley rats aged 8-12 weeks,and were then randomly divided into ultrasound group and control group.In the ultrasound group,low-intensity pulsed ultrasound was treated daily with a small ultrasonic probe with an effective radiation area of 1 cm2 perpendicular to the Achilles tendon.No intervention was performed in the control group.Ultrasound imaging examination was performed 2 weeks later to observe the early healing of the tendon.Hematoxylin-eosin staining and CD31 immunohistochemical staining were performed to observe the changes in the number of blood vessels in the tissues after 1 and 2 weeks of treatment.The expression of vascular endothelial growth factor-related signaling pathway molecules in Achilles tendon tissues was detected by western blot or qRT-PCR. RESULTS AND CONCLUSION:Compared with the control group,the Achilles tendon in the ultrasound group was more continuous,the echo intensity was lower and more uniform,and the tendon thickness was significantly reduced(P<0.05).Hematoxylin-eosin staining and CD31 immunohistochemical staining results showed that after 2 weeks of treatment,the number of new vessels in the ultrasound group was significantly increased compared with the control group(P<0.05).Western blot and qRT-PCR results showed that after 2 weeks of continuous ultrasound intervention,the protein or mRNA expressions of vascular endothelial growth factor,Yes-associated protein,angiopoietin-2 and cysteine-rich angiogenic inducer 61 in the Achilles tendon of the ultrasound group were significantly higher than those of the control group(P<0.05).These finding indicate that low-intensity pulsed ultrasound significantly increases the number of blood vessels in the early stage of acute tendon injury and accelerate tendon healing by up-regulating vascular endothelial growth factor expression.

Performance appraisal of public hospitals have given a guidance for the development of public hospitals at all levels.A Class A tertiary hospital reviewed the problems in the development of the hospital at the present stage and focused on the following four aspects:①insufficient fine management;②No clear orientation of discipline development;③The bottleneck of the improvement of medical operation efficiency;④New challenges in the reform of payment mode.The tertiary hospital launched a fine management practice in May 2022,in order to solve the problems by taking the Department of Surgery as a pilot area,laying the foundation for fine management through information system construction,improving the efficiency of medical operation through management process optimization,improving the overall competitiveness of disciplines through the construction of sub-specialty and Discipline Alliance and adjusting the performance appraisal index system to play the role of performance incentives.The measures effectively improve the overall capacity and efficiency of hospital medical services and help the hospital to achieve high-quality development.

The application of function-preserving pancreatic surgery as a restrictive resection technique is primarily targeted towards benign or those with borderline or low-grade lesions. This approach has been shown to significantly improve both short-term and long-term quality of life outcomes for patients following surgical intervention. In comparison to conventional laparoscopic procedures, robotic surgical systems have demonstrated superior efficacy and precision when employed in pancreas surgeries, and the safety and reliability are widely recognized within the medical community. Nevertheless, there remains a dearth of research investigating the specific appli-cations of robotic-assisted function-preserving pancreatic surgery. Consequently, the authors compre-hensive review the latest progress on robot-assisted function-preserving pancreatic surgery, while highlighting of surgical scope, techniques utilized during these procedures as well as associated prognostic considerations.

Clinical pathway has great similarity with DRG,and plays an important role in standardizing diagnosis and treatment behavior and controlling medical expenses.Based on the analysis of the relationship between DRG payment method reform and clinical pathway,taking a public hospital in Wuhan City,Hubei Province as an example,the clinical pathway implementation strategy of large public hospitals under the DRG payment method reform was explored from five aspects:management system,suitable disease types,doctor's order setting,information system,training and assessment.

ObjectiveTo systematically analyze international disability data policies and standards, as well as the application of disability data in policymaking, service optimization and inclusive social development, and to clarify the importance of international disability data policies, standard systems and disability data application for the development of disability-related services. MethodsThrough the analysis of policy content and research on the data standard system, this study explored the disability data policy framework, standard system and technical path of data interoperability and integration of international organizations including the United Nations (United Nations Statistics Division and United Nations Children's Fund), World Health Orgnization, United Nations Educational Scientific and Cultural Organization, and International Labour Organization. ResultsInternational organizations established disability data policy frameworks based on their respective mandates, involving data and service development, data standards, data governance, and data application. The international community established a disability data standard system for disability data collection, coding, exchange, interoperability, statistical analysis, data fusion and application. Building a standardized disability data standard system based on the framework of international health classification standards such as International Classification of Functioning, Disability and Health, and International Classification of Diseases, Eleventh Revision would ensure the consistency of cross-national disability data policies, and the interoperability and comparability of disability data, promoting the development of data-driven disability-related services, accurately identifying the service needs of people with disabilities, and optimizing service provision, thereby improving the quality of life and social participation of people with disabilities. ConclusionThe construction and implementation of international disability data policies and data standards have promoted the standardization and interoperability of disability data. With the application of big data, artificial intelligence and blockchain technologies in disability data, international cooperation and cross-industry data fusion in the field of disability data have been promoted, further promoting the development of data-driven disability services, ensuring equal opportunities for people with disabilities to enjoy service resources, and improving the coverage and quality of disability services.