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.

Objective:To understand the epidemiological and etiological characteristics of hand-foot-mouth disease (HFMD) in the Nanshan District of Shenzhen City from 2019 to 2022 and to provide a scientific basis for HFMD prevention in the area.Methods:Epidemiological data on HFMD in Shenzhen Nanshan District from 2019 to 2022 in the China Information System for Disease Control and Prevention were analyzed using descriptive research methods.Real-time reverse transcription polymerase chain reaction (RT-PCR) was used to analyze the etiology characteristics of clinical specimens from HFMD patients. The VP1 gene of the dominant pathogen coxsackievirus A6 (CV-A6) was amplified and sequenced. SepMan Pro of DNASTAR software was used for sequence assembly and MegAlign was used for nucleotide homology analysis.Results:A total of 13 195 HFMD cases were reported in Shenzhen Nanshan District from 2019 to 2022, with an average annual incidence rate of 186.18/100, 000. Summer and autumn are the main onset seasons and children under 7 years old were the main population, accounting for 93.1%. The male-to-female ratio is 1.44∶1. A total of 451 clinical HFMD specimens were detected in the laboratory, including 403 positive (87.36%) and 48 negative (10.64%). The main pathogens were CV-A6 (63.03%), coxsackievirus A16 (CV-A16) (27.79%), coxsackievirus A4 (CV-A4) (4.71%), coxsackievirus A10 (CV-A10) (1.99%), Echovirus 11 (Echo-11) (0.25%), and uncertain type accounted for 2.23%, with no detection for enterovirus71 (EV71) type. The nucleotide homology of the 13 CV-A6 strains ranged from 94.0%?99.6%, and the nucleotide homology with the prototype strain Gdula ranged 84.1%?85.8%. The results of phylogenetic tree showed that all 13 CV-A6 strains in Nanshan District were of the D3a genotype.Conclusions:FHFMD in Nanshan District of Shenzhen City in 2019-2022 shows obvious differences in population and time distribution. Therefore, it is necessary to strengthen publicity and education on HFMD prevention and control in the summer and fall seasons and among key populations. CV-A6 and CV-A16 are the dominant strains of HFMD in Nanshan District, Shenzhen in recent years, so the monitoring of the dominant strains should be improved.

Severe acute pancreatitis(SAP)is a critical condition in general surgery settings,characterized by high mortality and poor prognosis.On February 28,2024,the Department of Hepatobiliary Surgery at the First Affiliated Hospital of Harbin Medical University admitted a 36-year-old male patient.The patient presented with"upper abdominal pain accompanied by fever for three months and jaundice of the skin and sclera for one week."Physical examination revealed 11 puncture tubes,and a palpable mass measuring 3 cm × 5 cm in the upper abdomen.Enhanced CT and magnetic resonance cholangiopancreatography indicated acute pancreatitis.The patient was diagnosed with"SAP,infectious pancreatic necrosis,and biliary stenosis."He had severe abdominal infection and complex postoperative complications,making treatment challenging.Consequently,a multidisciplinary team(MDT)consultation was initiated.After three rounds of MDT consulfation and freating,the patient ultimately recovered successfully and was discharged.This article reviews the MDT treatment process for this patient and summarizes the characteristics of this condition based on relevant literature to provide insights and experience for clinical practice.

Objective This study aimed to explore the effect of pituitary tumor-transforming gene 1(PTT-G1)on the invasion and proliferation of oral squamous cell carcinoma(OSCC)cell lines under the action of miR-362-3p.Methods The bioinformatics online database was used to query the expression of PTTG1 in head and neck squamous cell carcinoma(HNSCC).The expression of PTTG1 in the Cal-27,HN-30,and HOK cell lines was detected by Western blot.A wound-healing assay was used to determine the effect of PTTG1 on the migration ability of the OSCC cells.The Transwell assay was used to examine the changes in cell-invasion ability.5-ethynyl-2'-deoxyuridine(EdU)cell-proliferation assay was used to detect changes in cell-proliferation ability.Bioinformatics approach predicted the upstream miRNA of PTTG1.The targeting relationship between miR-362-3p and PTTG1 was examined by the dual luciferase assay,and quantitative real-time polymerase chain reaction(qRT-PCR)was used to determine the expression of miRNA in OSCC tissues.Results The ENCORI database showed that PTTG1 expression was up-regulated in OSCC tissues.Western blot confirmed that PTTG1 expression was up-regulated in Cal-27 and HN-30 cells than HOK cells.PTTG1 knockout can inhibit the migration,invasion,and prolif-eration of Cal-27 and HN-30 cells(P<0.05).Bioinformatics prediction websites predicted that the upstream miRNA of PTTG1 was miR-362-3p,and PTTG1 can bind to miR-362-3p.Results of qRT-PCR showed that miR-362-3p expression was downregulated in OSCC tissues compared with normal tissue(P<0.05).Transwell and EdU experiments confirmed that miR-362-3p knockdown can promote the invasion and proliferation of Cal-27 and HN-30 after PTTG1 knockdown.Conclusion miR-362-3p can inhibit the invasion and proliferation of Cal-27 and HN-30 cells by targeting PTTG1.

Objective:To establish and validate a gallstones classification method based on deep learning.Methods:A total of 618 gallstones samples were collected from East Hospital Affiliated to Tongji University, and 1 023 high-definition cross-sectional gallstones profile images were captured to construct a cross-sectional gallstones profile image dataset. Based on the traditional eight-category gallstones classification method, a lightweight network model, MobileNet V3, was trained using deep learning and transfer learning methods. The classification performance of MobileNet was evaluated using a confusion matrix with metrics such as accuracy rate, precision rate, F1 score, and recall rate. The MobileNet V3 was improved and further validated using accuracy and loss values.Results:The accuracy rate (94.17%), precision rate (94.03%), F1 score (92.96%) and recall rate (92.99%) of the improved MobileNet V3 model were better than other networks. The improved MobileNet V3 model achieved the highest accuracy rate (94.17%) in gallstones profile classification and was validated by the test set. The confusion matrix showed a weighted average of accuracy rate (92.0%), precision rate (92.6%), and F1 score (92.2%) for each category of gallstones.Conclusions:Based on deep learning, a high-accuracy gallstones classification method is proposed, which provides a new idea for the intelligent identification of gallstones.

Objective To evaluate the accuracy of three-dimensional(3D)reconstruction of the gallbladder volume based on computed tomography(CT)images and study the biomechanical changes in gallbladder motility to explore the relationship between gallbladder dynamics and gallstone formation.Methods A method for calculating gallbladder volume based on CT 3D reconstruction of The gallbladder model was proposed and compared with the ellipsoid method.A finite element model of the gallbladder was constructed for fluid dynamics analysis to simulate changes in gallbladder motor function under different angles of convergence between the cystic and common bile ducts and in the presence of gallstones.Results The mean errors of the specific gallbladder model volume and ellipsoid volume of the 50 patients were 7.26％and 25.35％,respectively.During the refilling period,the maximum pressure,deformation,and flow velocity of the pear-shaped gallbladder were significantly higher than those of the gourd-shaped gallbladder.The angle between the gallbladder and common bile duct had little effect on the bile flow pattern,and the maximum bile flow rate was reached at an angle of 120°.The bile flow velocity of the gallbladder with calculus was lower than that of the gallbladder without calculus,and there was a vortex near the calculus.Conclusions Calculating gallbladder volume based on CT 3D reconstruction is more accurate than the ellipsoid method.Compared with a pear-shaped gallbladder,a gourd-shaped gallbladder has lower gallbladder wall contraction,bile flow rate,and poor motor function.The bile flow rate in the gallbladder is slow,which is more likely to lead to the enlargement of gallstones or the formation of new gallstones.