ObjectiveTo establish a method for the identification of Haliotidis Concha and its counterfeits， and to improve its quality evaluation method. MethodsA total of 17 batches of Haliotis discus hannai， 4 batches of H. ruber， 3 batches of H. laevigata， 3 batches of H. ovina， 3 batches of H. diversicolor， 3 batches of H. asinina， 3 batches of H. iris were collected. Ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS/MS） was used to analyze the hydrolysates of different original Haliotidis Concha and its counterfeits， and the potential characteristic ions of each species were screened by Venn diagram. UPLC-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS） was used to validate the characteristic ions， and the specific detection method of the characteristic ions was established. ResultsA total of 1 182， 167， 47， 89， 104， 203， 424 potential characteristic ions were screened from H. discus hannai， H. ruber， H. laevigata， H. ovina， H. diversicolor， H. asinina and H. iris， respectively. And 9 characteristic ions were selected. The precision， stability and repeatability of the 9 characteristic ions in the established identification method met the requirements. Different original Haliotidis Concha and its counterfeits could detect their own characteristic ions， including m/z 631.83-886.48（double charge） and m/z 631.83-443.74（double charge） of H. discus hannai， m/z 699.28-232.11（double charge） and m/z 699.28-544.27（double charge） of H. ruber， m/z 535.76-752.37（double charge） and m/z 535.76-548.28（double charge） of H. laevigata， m/z 708.35-442.28（double charge） and m/z 708.35-215.14（double charge） of H. ovina， m/z 561.33-614.86（triple charge）， m/z 561.33-468.28（triple charge）， m/z 608.29-618.32（double charge） and m/z 608.29-390.21（double charge） of H. diversicolor， m/z 769.85-274.10（double charge）， m/z 769.85-532.75（double charge）， m/z 827.43-646.36（single charge）， m/z 827.43-257.12（single charge） of H. asinina， and m/z 468.24-576.29（double charge） and m/z 468.24-505.26（double charge） of H. iris. ConclusionIn this study， a total of 9 characteristic ions are screened from 6 kinds of original Haliotidis Concha and its counterfeits， and a specific identification method is established， which is helpful to solve the limitations of the existing quality evaluation methods of Haliotidis Concha， and provide a basis for the production， circulation and medication quality.

ObjectiveTo establish a method for the identification of Haliotidis Concha and its counterfeits， and to improve its quality evaluation method. MethodsA total of 17 batches of Haliotis discus hannai， 4 batches of H. ruber， 3 batches of H. laevigata， 3 batches of H. ovina， 3 batches of H. diversicolor， 3 batches of H. asinina， 3 batches of H. iris were collected. Ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS/MS） was used to analyze the hydrolysates of different original Haliotidis Concha and its counterfeits， and the potential characteristic ions of each species were screened by Venn diagram. UPLC-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS） was used to validate the characteristic ions， and the specific detection method of the characteristic ions was established. ResultsA total of 1 182， 167， 47， 89， 104， 203， 424 potential characteristic ions were screened from H. discus hannai， H. ruber， H. laevigata， H. ovina， H. diversicolor， H. asinina and H. iris， respectively. And 9 characteristic ions were selected. The precision， stability and repeatability of the 9 characteristic ions in the established identification method met the requirements. Different original Haliotidis Concha and its counterfeits could detect their own characteristic ions， including m/z 631.83-886.48（double charge） and m/z 631.83-443.74（double charge） of H. discus hannai， m/z 699.28-232.11（double charge） and m/z 699.28-544.27（double charge） of H. ruber， m/z 535.76-752.37（double charge） and m/z 535.76-548.28（double charge） of H. laevigata， m/z 708.35-442.28（double charge） and m/z 708.35-215.14（double charge） of H. ovina， m/z 561.33-614.86（triple charge）， m/z 561.33-468.28（triple charge）， m/z 608.29-618.32（double charge） and m/z 608.29-390.21（double charge） of H. diversicolor， m/z 769.85-274.10（double charge）， m/z 769.85-532.75（double charge）， m/z 827.43-646.36（single charge）， m/z 827.43-257.12（single charge） of H. asinina， and m/z 468.24-576.29（double charge） and m/z 468.24-505.26（double charge） of H. iris. ConclusionIn this study， a total of 9 characteristic ions are screened from 6 kinds of original Haliotidis Concha and its counterfeits， and a specific identification method is established， which is helpful to solve the limitations of the existing quality evaluation methods of Haliotidis Concha， and provide a basis for the production， circulation and medication quality.

To address the current issues of data imbalance and scarcity in photoplethysmography (PPG) data for type 2 diabetes mellitus (T2DM) prediction, this study proposes an improved conditional Wasserstein generative adversarial network with gradient penalty (CWGAN-GP). The algorithm integrated gated recurrent unit (GRU) networks and self-attention mechanisms to construct a generator, aiming to produce high-quality PPG signals. Various data augmentation methods, including the improved CWGAN-GP, were employed to expand the PPG dataset, and multiple classifiers were applied for T2DM prediction analysis. Experimental results showed that the model trained on data generated by the improved CWGAN-GP achieved the optimal prediction performance. The highest accuracy reached 0.895 0, and compared with other data enhancement methods, this approach exhibited significant advantages in terms of precision and F1-score. The generated data notably enhances the accuracy and generalization ability of T2DM prediction models, providing a more reliable technical basis for non-invasive early T2DM screening based on PPG signals.
Photoplethysmography/methods* ; Diabetes Mellitus, Type 2/diagnosis* ; Humans ; Algorithms ; Neural Networks, Computer ; Signal Processing, Computer-Assisted ; Prediction Algorithms

Objective:The epidemiological characteristics of tuberculosis deaths among Chinese residents from 2006 to 2021 were analyzed, and the tuberculosis mortality rate from 2022 to 2027 was predicted to provide a reference for tuberculosis prevention and control in China.Methods:The data set of tuberculosis deaths from 2006 to 2021 was published regularly by the China CDC, and the crude mortality rate (CMR) and age-standardized mortality rates (ASMR) were calculated according to the population structure of China in 2000. The distribution characteristics of age, sex, region, and time of tuberculosis deaths were analyzed, the Joinpoint regression analysis model was used to analyze the changing trend, and the grey model was applied to predict CMR and ASMR from 2022 to 2027.Results:From 2006 to 2021, the CMR and ASMR of tuberculosis showed a downward trend among males and females, urban and rural areas, and all age groups, in a word, all the Chinese residents. Except for the age group ≥85 years old, the mortality trend was insignificant. In the eastern, central, or western regions. CMR and ASMR were significantly higher in males than in females.CMR and ASMR were significantly lower in urban areas than in rural areas. In general, active tuberculosis patients present a higher mortality rate. The CMR and ASMR in the western region were higher than those in the eastern and central regions and lower in the eastern region than in the central region, but the differences were less obvious. The ASMR of the eastern cities was lower than that of the central and western regions, and the ASMR of the central cities was higher than that of the western region from 2006 to 2009 and 2012 and lower than that of the western region in other years. The ASMR in the western countryside was higher than that in the eastern and central regions and lower in the eastern part than in the central region, but the difference was not obvious. The grey model prediction results show that the CMR (/100 000) of Chinese residents from 2022 to 2027 is 1.585, 1.471, 1.360, 1.250, 1.143, and 1.038, and the ASMR (/100 000) is 0.779, 0.653, 0.531, 0.411, 0.295 and 0.181, respectively.Conclusions:The CMR and ASMR of tuberculosis will continue to decline, and extraordinary achievements have been made in tuberculosis prevention and control in Chinese residents from 2006 to 2021 and, presumably, from 2022 to 2027. However, tuberculosis screening and treatment programs in the western region, men, the elderly population, and rural areas should be further strengthened, and targeted prevention and control measures should be formulated to reduce mortality.

ObjectiveTo systematically evaluate the efficacy and prognosis of liver venous deprivation （LVD） versus portal vein embolization （PVE） in the treatment of hepatic malignancies with insufficient residual liver volume. MethodsThis study was conducted according to PRISMA guidelines， with a PROSPERO registration number of CRD42024533292. Databases including PubMed， Embase， the Cochrane Library， Web of Science， CNKI， Wanfang Data， and VIP were searched for articles on the efficacy of LVD versus PVE. According to the inclusion and exclusion criteria， related articles were screened for quality assessment and extraction of clinical data for LVD and PVE， and related data were summarized and analyzed. RevMan 5.3 was used to perform the Meta-analysis. ResultsA total of 12 articles （all cohort studies） were included， involving 644 patients （245 in the LVD group and 399 in the PVE group）. The Meta-analysis showed that there were significant differences between the two groups in FLR growth rate after embolization （standardized mean difference ［SMD］=0.84， 95% confidence interval ［CI］： 0.59 ‍—‍ ‍1.09， P<0.05）， daily growth volume of FLR after embolization （SMD=1.19， 95%CI： 0.64‍ ‍—‍ ‍1.73， P<0.05）， the incidence rate of complications after embolization （risk ratio ［RR］=1.59， 95%CI： 1.06 ‍—‍ 2.38， P<0.05）， interval between embolization and second-stage surgery （SMD=-0.81， 95%CI： -1.32 to -0.29， P<0.05）， and the completion rate of second-stage surgery （RR=1.09， 95%CI： 1.01 ‍—‍ 1.18， P<0.05）. ConclusionCompared with PVE， LVD can enable patients to achieve FLR for surgery in a relatively short period of time， thereby reducing the incidence rate of disease progression， solving the problem of hypertrophic deficiency， achieving a higher second-stage surgical resection rate， and bringing more benefits to patients with liver cancer. In addition， LVD has similar safety profiles to PVE during second-stage surgery.

Objective To construct and identify a patient-derived organoid model,and to investigate the sensitivity of chemotherapy drugs using this model.Methods Pancreatic cancer cells were obtained from the surgical specimens of two female patients with a confirmed diagnosis of pancreatic cancer after tumor tissue digestion,and then the cells were inoculated into a culture dish using matrigel for three-dimensional culture.Paraffin sections were prepared for HE staining and immunohistochemical staining and were compared with the parent tumor tissue to determine whether the histopathological features of the tumor in vivo were preserved.The pancreatic cancer organoids were treated with seven chemotherapy drugs at different concentrations;Cell Titer-Glo?3D reagent was used to measure cell viability,and the results of drug sensitivity were analyzed.Results Two patient-derived pancreatic cancer organoids were successfully constructed,and HE staining and immunohistochemical staining showed that the pancreatic cancer organoids had consistent histopathological features with the tumors of the corresponding patient.Both pancreatic cancer organoids were more sensitive to gemcitabine monotherapy and the combination of oxaliplatin+SN38+fluorouracil,and patient 1 was more sensitive than patient 2.There were individual differences in the response to drugs between the organoids from different patients.Conclusion The pancreatic cancer organoid model successfully constructed in this study can reflect the histological classification of parent pancreatic tumors and can be used for in vitro chemotherapy drug sensitivity test,which is expected to provide a reference for clinical medication.

OBJECTIVE To construct a risk prediction model for non-compliance with inhaled medication in patients with chronic obstructive pulmonary disease （COPD）. METHODS A retrospective analysis was conducted on 365 COPD patients admitted to the cough and wheeze pharmaceutical care clinic of the First Hospital of Qinhuangdao from October 2021 to October 2023. The patients admitted from October 2021 to June 2023 were selected as the model group （n＝303）， and the patients admitted from July to October 2023 were selected as the validation group （n＝62）. The model group was divided into compliance subgroup （n＝126） and non-compliance subgroup （n＝177）. Univariate analysis combined with multivariate Logistic regression analysis were used to analyze the risk factors for non-compliance with inhaled formulations in patients； the risk prediction model was established through regression analysis， and the accuracy of the model prediction was evaluated based on the validation group of patients. RESULTS Multivariate Logistic regression analysis showed that simultaneous use of 2 inhaled formulations （OR＝3.730， 95%CI 1.996-6.971， P＜0.001）， the number of acute exacerbations within one year ≥2 （OR＝2.509， 95%CI 1.509-4.173， P＜0.001）， smoking （OR＝2.167， 95%CI 1.309-3.588， P＝0.003）， complicated with anxiety/depression （OR＝2.112， 95%CI 1.257-3.499， P＝0.004） and mMRC grading≥2 levels （OR＝1.701， 95%CI 1.014-2.853， P＝0.044） were risk factors for non-compliance with inhaled preparations. Based on this， a risk prediction model was established and the ROC curve was drawn. The areas under the curve of the model group and validation group were 0.836 and 0.928， and the overall accuracy of the model’s prediction was 88.71%. CONCLUSIONS The predictive model based on the simultaneous use of 2 inhaled formulations， the number of acute exacerbations within one year ≥2， smoking， complicated with anxiety/depression， mMRC grading ≥2 levels has certain predictive value for the risk of non-compliance with inhaled formulations for COPD patients.

OBJECTIVE To construct a risk prediction model for non-compliance with inhaled medication in patients with chronic obstructive pulmonary disease （COPD）. METHODS A retrospective analysis was conducted on 365 COPD patients admitted to the cough and wheeze pharmaceutical care clinic of the First Hospital of Qinhuangdao from October 2021 to October 2023. The patients admitted from October 2021 to June 2023 were selected as the model group （n＝303）， and the patients admitted from July to October 2023 were selected as the validation group （n＝62）. The model group was divided into compliance subgroup （n＝126） and non-compliance subgroup （n＝177）. Univariate analysis combined with multivariate Logistic regression analysis were used to analyze the risk factors for non-compliance with inhaled formulations in patients； the risk prediction model was established through regression analysis， and the accuracy of the model prediction was evaluated based on the validation group of patients. RESULTS Multivariate Logistic regression analysis showed that simultaneous use of 2 inhaled formulations （OR＝3.730， 95%CI 1.996-6.971， P＜0.001）， the number of acute exacerbations within one year ≥2 （OR＝2.509， 95%CI 1.509-4.173， P＜0.001）， smoking （OR＝2.167， 95%CI 1.309-3.588， P＝0.003）， complicated with anxiety/depression （OR＝2.112， 95%CI 1.257-3.499， P＝0.004） and mMRC grading≥2 levels （OR＝1.701， 95%CI 1.014-2.853， P＝0.044） were risk factors for non-compliance with inhaled preparations. Based on this， a risk prediction model was established and the ROC curve was drawn. The areas under the curve of the model group and validation group were 0.836 and 0.928， and the overall accuracy of the model’s prediction was 88.71%. CONCLUSIONS The predictive model based on the simultaneous use of 2 inhaled formulations， the number of acute exacerbations within one year ≥2， smoking， complicated with anxiety/depression， mMRC grading ≥2 levels has certain predictive value for the risk of non-compliance with inhaled formulations for COPD patients.

Objective To compare the changes of brain voxel-mirrored homotopic connectivity(VMHC)of patients before and after Tai Chi Chuan training based on functional magnetic resonance imaging(fMRI)technology;To discuss the central effect mechanism of Tai Chi Chuan in treating chronic fatigue syndrome(CFS).Methods A total of 25 CFS patients(experiment group)and 27 healthy individuals(control group)were recruited to undergo a 1-month Tai Chi Chuan intervention.All receive one month of Tai Chi Chuan training.Differences in SF-36 scores and VMHC between CFS patients and HCs were compared.Results Before training,the SF-36 scores in the experimental group were significantly lower than those in the control group(P<0.001),and the VMHC in the bilateral inferior occipital gyrus,paracentral lobule,lingual gyrus,insula and superior temporal gyrus brain areas were weakened.After training,the scores of SF-36 in the experimental group significantly increased(P<0.001),and the VMHC in bilateral inferior occipital gyrus,superior temporal gyrus,anterior cuneiform lobe and paracentral lobule were significantly enhanced.The difference in whole brain VMHC was positively correlated with the difference in energy scores in SF-36(r=0.456,P=0.025);some scores of SF-36 in the control group significantly increased(P<0.05),and no significant changes in VMHC were observed in brain regions.Conclusion Tai Chi Chuan can effectively improve the quality of life of patients with CFS.This change may be related to the enhancement of functional connections in brain regions such as inferior occipital gyrus,superior temporal gyrus,precuneus,paracentral lobule,et al.

Objective:To evaluate the safety and feasibility of the laparoscopic indocyanine green (ICG) fluorescence imaging during the sentinel node navigational surgery for the early gastric cancer.Methods:Patients with <4 cm early gastric cancer were chosen. 0.5 ml ICG (2.5 mg/ml) was preoperatively injected into submucosa around the lesion in four points by the endoscopy. The sentinel lymph node basin including the stained tissue and lymph node (LN) were completely resected guided by the fluorescence mapping under ICG laparoscopy. The specimen was inspected by frozen pathology section. The radical gastrectomy was dependent on the pathology result.Result:Between 2019 and 2021, a total of 18 patients were included in the final analysis. Most tumors (16/18) located in the middle or distal stomach. Median tumor size was 2.0 cm. Lymph vessel invasion was revealed in five cases and perineural invasion in three cases. According to AJCC tumor grading system, tumor depth was classified as Tis in 2 cases, T1a in 5 cases and T1b in 11 cases. Lymph node metastasis (LNM) was revealed in four patients (4/18, 22%). Median sentinel lymph node basins per patient were 2 (range, 1-5). An average 6 (range, 2-13) LNs were harvested in each case, including 6 (1-13) ICG stained LNs and 1 (0-5) non stained LNs. All of four LNM patients were detected by sentinel node navigational surgery. The rate of the sensitivity and accuracy were 100% and 100%, respectively. The median follow-up for the entire group was 58.3 months (0.3-59.9 months), with no recurrence or metastasis observed in any patient.Conclusion:The sensitivity and accuracy of the laparoscopic indocyanine green fluorescence imaging during the sentinel node navigational surgery were satisfactory.