By consulting relevant literature of ancient herbal books and processing specifications， this paper made a systematic research and analysis of Ostreae Concha， including the name， producing area， harvesting， quality， historical evolution of processing， relevant processing specifications， modern processing technology， and changes in chemical composition and pharmacological effects before and after processing， in order to provide documentary evidence for the research on processing technology and the establishment of quality standards. According to the textual research， it is known that Ostreae Concha has a long history of being used in medicine， and there have been many aliases and local names in each historical period. Shennong's Classic of the Materia Medica（Shennong Bencaojing） began to use Muli as the correct name， which has continued to use to today， and there were also aliases such as Muge， Zuogu Muli and Haoke. Ostreae Concha has a wide range of localities and irregular harvesting periods. The ancients believed that its left shell was of superior quality， but this has not been seen in modern. And there were many kinds of processing methods of Ostreae Concha， such as grinding， roasting， calcining， frying， simmering， quenching and so on， and the calcining was still in use. The different editions of Chinese Pharmacopoeia from 1963 to 2020 contain only calcined Ostreae Concha， and the local processing specifications mainly include three kinds of processed products（calcined products， salt-soaked products and vinegar-soaked products）. Modern processing research mainly focuses on process optimization， changes in chemical composition and pharmacological effects， and the research methods are relatively single. Overall， there are currently issues such as inconsistent processing standards， unclear process parameters and imperfect quality standards， which are not conducive to the quality control and standardized clinical use of Ostreae Concha. Therefore， it is necessary to further investigate the pharmacological substance basis of Ostreae Concha and its processed products in order to elucidate the processing mechanism， standardize the processing technology and improve the quality standard.

Objective To establish a liquid chromatography method for the simultaneous determination of 13 aromatic amine compounds (AAs) in workplace air. Methods A total of 13 AAs in both vapor and aerosol phases were collected in workplace air using a new GDH-6 sampling tube. Samples were desorbed and eluted with methanol, separated using a Symmetry Shield™ RP₁₈ reversed-phase liquid chromatography column, and detected with a diode array detector. Quantification was performed using an external standard method. Results The linear range of the 13 AAs measured by this method was 0.02-373.60 μg/L with the correlation coefficients greater than 0.999 0. The minimum detection concentration was 0.09-14.37 μg/m³, and the minimum quantitative concentration was 0.31-47.90 μg/m³ (both calculated based on sampling 15.0 L of air and 3.0 mL of elution volume). The average desorption and elution efficiency ranged from 97.46% to 101.23%. The within-run relative standard deviation (RSD) was 0.10%-5.99%, and the between-run RSD was 0.17%-2.71%. Samples could be stably stored in sealed conditions at 2-8 ℃ for more than seven days. Conclusion This method is suitable for the simultaneous determination of 13 AAs in workplace air, including both vapor and aerosol phases.

Objective To establish a method for simultaneous determination of four high-molecular-weight thiol derivatives (TDs) in workplace air by gas chromatography. Methods The four kinds of vapor-phase macromolecular TDs (1-pentanethiol, 1-hexanethiol, 1-benzyl mercaptan, and n-octanethiol) in the workplace air were collected using the GDH-1 air sampling tubes, desorbed with anhydrous ethanol, separated on a DB-FFAP capillary column, and determined by flame ionization detector. Results The quantitation range of the four TDs was 0.30-207.37 mg/L, with the correlation coefficients greater than 0.999 00. The minimum detection mass concentrations and minimum quantitation mass concentrations were 0.18-0.32 and 0.60-1.05 mg/m³, respectively (both calculated based on the 1.5 L sample and 3.0 mL desorption solvent). The mean desorption efficiencies ranged from 87.07% to 103.59%. The within-run and between-run relative standard deviations were 1.92%-8.22% and 1.89%-8.45%, respectively. The samples can be stored at room temperature or 4 ℃ for three days and up to 7 days at -18 ℃. Conclusion This method is suitable for the simultaneous determination of four vapor-phase TDs in workplace air.

Medical imaging technology plays a crucial role in clinical diagnosis and treatment. Image compression technology provides robust technical support for the storage and transmission of massive medical imaging data, serving as an effective safeguard for hospital data backup and telemedicine. The technology holds broad application prospects in the medical field, enabling the processing of various imaging modalities, multidimensional imaging, and medical video imaging. This study elaborates on general image and video compression algorithms, the application of compression algorithms in the medical field, and the performance metrics of medical image compression, thereby providing critical technical support for enhancing clinical diagnostic efficiency and data management security.

Objective To improve the national standardized method for determining biphenyl in workplace air, which was based on activated carbon tube sampling, carbon disulfide desorption, and gas chromatography, by developing a method using GDX-502 tubes for sampling, toluene for desorption, and gas chromatography. Methods Workplace air samples were collected using GDX-502 sampling tubes and desorbed with toluene, followed by determination with gas chromatography. Results The improved method demonstrated good linearity for biphenyl concentrations ranging from 0.33 to 330.00 mg/L, with a correlation coefficient of 0.999 9. The detection limit and lower limit of quantification were 0.06 and 0.21 mg/L, and the minimum detection concentration and minimum quantification concentration were 0.04 and 0.14 mg/m³ (based on 1.5 L air sample volume), respectively. The average desorption efficiency ranged from 96.6% to 101.1%. The within-run and between-run relative standard deviations were 0.6%-1.4% and 1.4%-3.3%, respectively, with 100.0% sampling efficiency. Samples remained stable for at least 14 days at room temperature. Conclusion The improved method for biphenyl detection demonstrates rapid and accurate performance, with the advantages of low detection limits and high sampling and desorption efficiency.

To compare the differences in clinical features and treatment choices between peripheral spondyloarthritis(pSpA) and axial spondyloarthritis(axSpA), and better understand the clinical characteristics and medication needs of pSpA.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.