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.

Objective To explore the short-term efficacy of endoscopic submucosal dissection (ESD) in the treatment of early carcinoma in the remnant stomach. Methods A retrospective study was conducted on 45 patients with early residual gastric cancer underwent ESD at the Endoscopy Center of Zhongshan Hospital, Fudan University from December 2014 to April 2024, with a total of 45 lesions. The patients were divided into an anastomotic group (n=15) and a non-anastomotic group (n=30) based on the location of tumor occurrence, and their clinical data, endoscopic diagnosis and treatment, and histopathological conditions were compared between the two groups. Results All 45 patients had lesions with redness and erosion. There were 9 cases of poor lifting of submucosal injection in the anastomotic group and 2 cases in the non-anastomotic group, respectively, and the difference was statistically significant (P<0.05). ESD surgery was performed on 13 lesions in the anastomotic group and 28 lesions in the non-anastomotic group, with surgery times of 80.00 (50.00, 100.00) min and 55.00 (43.75, 80.00) min, respectively. The difference in surgery time between the two groups was statistically significant (P=0.03). Among the 45 patients, ESD surgery achieved curative resection in 35 cases, including 11 cases in the anastomotic group and 24 cases in the non-anastomotic group, with no statistically significant difference. Conclusions Careful preoperative evaluation of early carcinoma in the remnant stomach is essential to prevent oversight. Lesions at anastomotic sites and suture lines present higher technical challenges for complete resection. ESD is safe and effective, with auxiliary traction technique available when necessary.

Triple-negative breast cancer (TNBC) is aggressive, with high recurrence rates and poor prognosis. Paclitaxel (PTX) remains a key chemotherapeutic agent for TNBC, but its efficacy diminishes due to the emergence of drug resistance, largely driven by cancer stem-like cells (CSCs), vasculogenic mimicry (VM) formation and tumor immunosuppressive microenvironment (TIME). Pyruvate kinase M2 (PKM2) is highly expressed in TNBC, and is a potential target for TNBC treatment. In this study, we developed a biomimetic codelivery system using albumin nanoparticles (termed S/P NP) to co-encapsulate PTX and shikonin (SHK), a natural inhibitor of PKM2. By inhibiting PKM2, SHK suppressed β-Catenin signaling, thereby reversing CSC stemness and preventing VM formation. The S/P NP system exhibited tumor-targeting delivery effect and significantly inhibited TNBC growth and lung metastasis. Mechanistically, the treatment reversed epithelial-mesenchymal transition (EMT) and stem-like properties of TNBC cells, suppressed VM formation, and remodeled the TIME. It reduced immunosuppressive cells (M2 macrophages, MDSCs) while promoting anti-tumor immunity (M1 macrophages, dendritic cells, cytotoxic T cells, and memory T cells). This dual-action strategy holds promise for improving TNBC therapy by targeting CSCs, VM, and the immune microenvironment, and for overcoming PTX resistance and reducing metastasis.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

Objective To investigate the technical capacity and service quality of occupational health technical service institutions (hereinafter referred to as "occupational health institutions") in Guangdong Province. Methods All occupational health institutions in Guangdong Province that had valid occupational health service qualifications and within the validity period were included for analysis. Data on basic information, employed personnel, and results of professional technical capacity assessments across occupational health institutions were obtained through the Guangdong Provincial Occupational Health Technical Quality Control Center. Results A total of 99 institutions with 2 732 technical staff were included in this study. Occupational health institutions in Guangdong Province were mainly distributed in the Pearl River Delta region, accounting for 87.9% (87/99) of the total. The number of public and private health institutions was 23 and 76, accounted for 23.2% and 76.8% respectively. In terms of technical personnel, the percentage of individuals worked in public or private health institutions was 24.1% and 75.9%, respectively. Personnel titles were predominantly intermediate level and no title, accounting for 38.7% and 26.4%, respectively. Individuals with a bachelor′s degree or above accounted for 67.4%. Engineering and other professionals accounted for 35.4% and 30.5%, respectively. Private institutions undertook 97.3% of testing and evaluation workload related to occupational hazard in the province. The number of occupational health institutes acquiring category Ⅰ and Ⅱ service license were 97 and 13. Among institutions participating in inter-laboratory comparisons, the overall pass rates for quantitative items were 95.5% in public and 70.3% in private institutions, while the pass rates for qualitative items were 100.0% and 94.5%, respectively. Conclusion Occupational health institutions in Guangdong Province face issues such as imbalanced regional distribution, uneven development, and insufficient technical competence and testing capacity of professional personnel. Health authorities at all levels should continue to strengthen supervision and quality control to solidify the technical foundation and comprehensively enhance service capacity and quality.

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 summarize the key precautions in the determination of nitrogen oxides (nitric oxide and nitrogen dioxide) in the workplace air and to explore potential optimization items in the national standard analytical method. Methods According to GBZ/T 160.29-2004 Methods for Determination of Inorganic Nitrogen Compounds in the Air Workplace, comparative experiments were conducted to evaluate and optimize critical technical parameters of the standardized method, including the oxidation efficiency of oxidation tubes and the preparation and storage of absorption solutions. The application details of the standard method were refined. Results The concentrations of nitrogen oxides (nitric oxide and nitrogen dioxide) were expressed as nitrogen dioxide equivalents. During calibration, the flow calibrator should be connected to the upstream of the air sampler, and the sampling system should undergo an air tightness check. Each batch of oxidation tubes should be validated before use. Before sampling, both end caps should be removed and the tube should be equilibrated for one hour in a clean environment with 30.00%-70.00% relative humidity. The prepared absorption stock solution in this method can be stored at 4 ℃ for up to 96 days. Commercial porous plate absorption tubes must be batch-validated before use. The sampling flow rate during sampling should be consistent with that specified in the standard method. After sampling, collected samples should be sealed in 10.00 mL amber glass bottles with screw caps and stored at 4 ℃ for up to 120 hours. Conclusion This study summarizes precautions for the sampling, detection, and calculation of nitrogen oxides (nitric oxide and nitrogen dioxide)in workplace air to strengthen quality control. Experimental optimizations of oxidation tube conditioning, absorption stock solution preparation and preservation, and sample storage conditions and durations may provide references for diversifying and simplifying the detection process, which facilitate the practical application in actual work.

Objective Based on the background of disease diagnosis related groups(DRGs)in public hospitals to construct the nursing quality evaluation index system for percutaneous radiofrequency ablation(PRFA)of liver cancer so as to improve the nursing quality for PRFA of liver cancer.Methods Using three-dimensional quality model and through interview,literature analysis,two rounds of Delphi expert letter inquiry and analytic hierarchy process,the evaluation standard of PRFA nursing quality of liver cancer was established,and its effect was validated in clinical practice.Results The evaluation index system of PRFA nursing quality for liver cancer was constructed,which included 3 first-level indexes,9 second-level indexes and 22 third-level indexes.After clinical application,the incidence of intraoperative and postoperative moderate-severe pain,the incidence of high fever,and the 24-hour number of times required care in the intervention group were lower than those in the control group(P＜0.05),the incidence of postoperative Ⅲ degree vomiting in the intervention group was remarkably lower than that in the control group(P＜0.01),and the average hospitalization days in the intervention group were less than those in the control group(P＜0.05),and the average hospitalization expense in the intervention group was lower than that in the control group,but the difference was not statistically significant(P＞0.05).Conclusion The PRFA nursing quality evaluation index system for liver cancer is scientific and practical,which is helpful for improving the outcome of patients and promoting the quality of nursing.

OBJECTIVE To explore the effect of volatile oil of Ligusticum chuanxiong on the transdermal properties and cytotoxicity of triptolide in vitro. METHODS The chemical constituents of the volatile oil of L. chuanxiong were analyzed by gas chromatography-mass spectrometry. The lower abdominal skin of KM mice was separated and divided into triptolide group， triptolide in compatibility with volatile oil of L. chuanxiong groups at 1∶10， 1∶50， 1∶100 （hereinafter referred to as “compatibility 1∶10”“compatibility 1∶50”“compatibility 1∶100” groups）. After the skin of mice in each group was fully exposed to 0.2 g of the corresponding cream for 24 h， the cumulative transdermal dose （Qn） of triptolide in the receiving solution of each group was determined by high-performance liquid chromatography， and the transdermal absorption rate （Jss） was calculated. Human immortalized keratinocytes （HaCat） were used as a model， the CCK-8 method was used to detect the cell survival rate of different concentrations of the volatile oil of L. chuanxiong and triptolide before and after compatibility. RESULTS A total of 62 chemical constituents of the volatile oil of L. chuanxiong were identified， including Z-ligustilide， senkyunolide， and β-selinene. The Qn （P＜ 0.01） and Jss of triptolide increased within 24 h in the compatibility 1∶10 and 1∶50 groups， while the Qn （P＜0.05） and Jss decreased in the compatibility 1∶100 group as compared with the triptolide group. Compared with the triptolide group， the cell survival rate of HaCat was significantly increased in the compatibility 1∶10 and 1∶50 groups when the triptolide concentrations were 36， 72 and 144 ng/mL （P＜0.05 or P＜0.01）； while the cell survival rate of HaCat was decreased in the compatibility 1∶100 group， but the difference was not statistically significant （P＞0.05）. CONCLUSIONS When the compatibility ratio of triptolide and volatile oil of L. chuanxiong was 1∶10 or 1∶50， it can promote the transdermal absorption of triptolide and reduce the cytotoxicity of triptolide to HaCat.

Objective To explore the role of an artificial intelligence(AI)model based on real-time object detection network in fetal facial ultrasound examination.Methods With the normal fetal facial ultrasound standard plane(FFUSP)at 20-24 weeks of gestation as the research object,a FFUSP recognition model based on real-time object detection network was constructed.The recognition accuracy of the model for FFUSP and the anatomical structures were analyzed,and the clinical value was evaluated by analyzing its performance in identifying FFUSP in 119 cases of fetal ultrasound images.Results The overall precision,recall rate,mAP@.5 and mAP@.5:.95 of the AI model were 97.8%,98.5%,98.1%and 61.0%,respectively.The clinical validation showed that the AI model had a sensitivity,specificity,positive predictive value,negative predictive value and accuracy of 100.0%,98.5%,87.4%,100.0%and 98.7%for facial anatomy recognition,and the results were highly consistent with the classification of fetal ultrasound experts(k=0.925,P<0.001).The recognition accuracy of the model for 3 types of standard planes reached 100%;and the average speed of dynamic video detection was 33.93 frames per second.Conclusion The FFUSP recognition model based on real-time object detection network exhibits excellent performance,and it can be applied to real-time ultrasound diagnosis,teaching and intelligent quality evaluation.