This paper presents an automatic acquisition and analytic procedure of acupuncture manipulation based on optical navigation, aiming at solving the shortcomings of existing acquisition methods of acupuncture manipulation. An acquisition holder installed at the handle tail of filiform needle was designed to display the movement trajectory of the needle during acupuncture delivery by collecting the movement trajectory of holder. The 3-month old male Bama miniature pig was selected as the experimental subject, and 6 points, "Bojian" "Qiangfeng" "Housanli" "Xiaokua" "Huiyang" (BL35) and "Baihui" (GV20), were selected during acupuncture manipulation. The optical navigation system was used to collect the real-time data, and these data were per-processed and analyzed using mean filtering and Fourier transform. The acupuncture procedure was divided into 3 stages, inserting, lifting-thrusting, and twisting. The results showed that the accuracy was 96.3% at lifting-thrusting stage, and that was 100.0% at twisting stage. The decomposition effect of the entire procedure was satisfactory. This study provides a new approach to the quantitative analysis of acupuncture manipulation. In the future, it needs to further optimize the algorithm and expand the sample size so as to improve the accuracy of this analytic technique.
Acupuncture Therapy/methods* ; Male ; Animals ; Swine ; Acupuncture Points ; Humans ; Swine, Miniature ; Needles

Objective To train an automatic recognition and classification model of ulcerative colitis colonoscopy image based on ResNet,and to test its accuracy,in order to help doctors improve the clinical detection rate and classification accuracy of ulcerative colitis.Methods A total of 4000 colonoscopy images were retrospectively collected from the Colonoscopy Center of Hebei Hospital of Traditional Chinese Medicine from January 2018 to October 2023,and were divided into normal group,mild group,moderate group and severe group according to Mayo endoscopic scoring criteria,with 1000 images for each group.After pre-processing such as brightness adjustment and Angle rotation,the number of images was expanded to 20,000,and the data set was randomly divided into training set,verification set and test set according to the ratio of 7∶2∶1.The training set and verification set are input into the ResNet model to learn and test its stability.After all training is completed,the accuracy of the model is recorded through the test set,and the accurate regression curve is made to evaluate the classification effect of the model.Results In the test set,the accuracy of classification of ulcerative colitis was 99.8％in normal group,98.8％in mild group,95.6％in moderate group and 97.8％in severe group.Conclusion ResNet has good performance in image recognition and classification of ulcerative colitis,can improve the clinical accuracy of ulcerative colitis,and can assist doctors to identify and classify the disease,which has a more reliable clinical application value.

Objective To establish a rapid detection method for invasive candidiasis based on droplet digital polymerase chain reaction(ddPCR).Methods We developed an assay system using a microtitre-based digital PCR platform and designed primer probes specific for four Candida species,namely Candida albicans,Candida smoothii,Candida near-smoothii,and Candida tropicalis.(1)The Limit of Blank(LOB)range and positive judg-ment value were determined by analyzing No Template Control(NTC)samples.(2)The Limit of Detection(LOD)range was determined by diluting positive samples with 10 replicate extractions at each concentration gradient.(3)The Linear Limit of Quantitation(LOQ)range was determined by repetitive testing of diluted samples.(4)The linear range limit was determined through gradient dilution of the positive samples.(5)The coefficient of variation(CV),calculated from the logarithmic values of the resultant concentrations,was assessed by extracting and test-ing positive samples in 12 repetitions at both high and low concentrations.(6)Method reliability was evaluated by calculating the CV from the logarithmic values of the resultant concentrations obtained from clinical samples with fungal culture results.Results The ddPCR assay detected Candida LOB at a range of 0～81 copies/mL,with a positive threshold set at≥3 positive microdroplets.The LOD and LOQ were determined to be 3×102 copies/mL.The linear range for detecting different concentration gradients was found to be between 3×102 and 3×107 copies/mL,with high correlation coefficients observed for Candida albicans(R2=0.999 5),Candida smoothii(R2=0.998 9),Candida near-smoothii(R2=0.999 4),and Candida tropicalis(R2=0.999).Additionally,the coefficient of variation for the resultant concentration logarithmic values was less than 5%,meeting precision requirements.Furthermore,preliminary validation using clinical specimens demonstrated consistent results compared to clinical culture findings.Conclusion ddPCR exhibits rapidity,high sensitivity,good repeatability,and high specificity in detecting inva-sive candidiasis in critically ill patients.This study highlights the potential value of droplet digital PCR as a diag-nostic tool for invasive candidiasis.

Objective To train an automatic recognition and classification model of ulcerative colitis colonoscopy image based on ResNet,and to test its accuracy,in order to help doctors improve the clinical detection rate and classification accuracy of ulcerative colitis.Methods A total of 4000 colonoscopy images were retrospectively collected from the Colonoscopy Center of Hebei Hospital of Traditional Chinese Medicine from January 2018 to October 2023,and were divided into normal group,mild group,moderate group and severe group according to Mayo endoscopic scoring criteria,with 1000 images for each group.After pre-processing such as brightness adjustment and Angle rotation,the number of images was expanded to 20,000,and the data set was randomly divided into training set,verification set and test set according to the ratio of 7∶2∶1.The training set and verification set are input into the ResNet model to learn and test its stability.After all training is completed,the accuracy of the model is recorded through the test set,and the accurate regression curve is made to evaluate the classification effect of the model.Results In the test set,the accuracy of classification of ulcerative colitis was 99.8％in normal group,98.8％in mild group,95.6％in moderate group and 97.8％in severe group.Conclusion ResNet has good performance in image recognition and classification of ulcerative colitis,can improve the clinical accuracy of ulcerative colitis,and can assist doctors to identify and classify the disease,which has a more reliable clinical application value.

Objective:To explore the effect of Gubi Decoction on serum related inflammatory factors and PI3K/Akt/mTOR signaling pathway in osteoarthritis model rats. Methods:Seventy SPF rats were randomly divided into the blank group, sham operation group, Glucosamine sulfate group, and the low, medium and high dose Gubi Decoction groups. Except the blank group and sham operation group, knee osteoarthritis animal models were prepared by the modified Hulth method in each group. On the 28th day after successful model preparation, the high, medium and low dose Gubi Decoction groups were given Gubi Decoction 24, 12 and 6 g/kg by gavage respectively; glucosamine sulfate group was given glucosamine sulfate tablet suspension 3 g/L by gavage, once a day for 28 days. The levels of TNF-α and IL-1β in serum were detected by ELISA. The gene expressions of PI3K, Akt and mTOR in cartilage tissue were detected by Real-PCR. The protein expressions of PI3K, Akt, p-PI3K, p-Akt and mTOR were detected by Western blot. Results:Compared with the model group, the knee joint diameter[(11.17 ± 1.81) mm, (11.60 ± 1.38) mm, (10.80 ± 1.17) mm vs. (12.57 ± 0.98) mm] of the rats in the glucosamine sulfate group and the medium and high dose Gubi Decoction groups significantly decreased ( P<0.05). The content of TNF-α [(111.43 ± 21.98) ng/L, (53.42 ± 13.25) ng/L vs. (157.89 ± 23.60) ng/L], IL-1β [(67.50 ± 18.44) ng/L, (48.22 ± 9.63) ng/L vs. (96.11 ± 14.85) ng/L] in the medium and high dose Gubi Decoction groups significantly decreased ( P<0.05), and the expression of PI3K (1.87 ± 0.17, 1.24 ± 0.49 vs. 2.19 ± 0.47), Akt (1.50 ± 0.51, 1.10 ± 0.32 vs. 2.68 ± 0.63), and mTOR (1.32 ± 0.54, 1.10 ± 0.33 vs. 2.94 ± 0.55) mRNA in the medium and high dose Gubi Decoction groups significantly decreased ( P<0.05). The expression of PI3K, Akt, p-PI3K, p-Akt in the low, medium and high dose Gubi Decoction groups significantly decreased ( P<0.05), and the expression of mTOR in the medium dose Gubi Decoction group significantly decreased ( P<0.05). Conclusion:Gubi Decoction can significantly reduce the level of inflammatory factors in the serum of osteoarthritis model rats, and its anti-inflammatory and analgesic effects may be related to PI3K/Akt/mTOR signaling pathway.

Objective　 To investigate the effect of pre-pregnancy age, alanine aminotransferase (ALT), blood glucose (GLU) level on premature birth. Methods Based on the free pre-marital health check-ups and pre-pregnancy eugenic health check-ups in Dongguan, the examination results of the subjects were obtained and the pregnancy outcomes were followed up. Logistic regression models were used to analyze the relationship between women^’s pre-pregnancy age, ALT, and GLU levels and the incidence of premature birth. Results A total of 18 150 subjects were included in this study, and the overall incidence of premature birth was 6.06% (1,099/18,150). The women^’s pre-pregnancy age 30 to 34 (RR=1.26, 95% CI:1.07～1.48), age>34 (RR=1.82, 95% CI:1.52～2.18), ALT≥40 U/L (RR=1.40, 95% CI: 1.09～1.80) and GLU>6.1 mmol/L(RR=1.74, 95% CI: 1.01～2.97) were the influencing factors of premature birth. Conclusion Older women, abnormal serum alanine aminotransferase level and hyperglycemia had an impact on the occurrence of premature birth, which has important guiding significance for health education of eugenics before pregnancy.

PURPOSE: Developing a risk prediction model for invasive fungal disease based on an analysis of the disease-related risk factors in critically ill patients in the intensive care unit (ICU) to diagnose the invasive fungal disease in the early stages and determine the time of initiating early antifungal treatment. METHODS: Data were collected retrospectively from 141 critically ill adult patients with at least 4 days of general ICU stay at Sun Yat-sen Memorial Hospital, Sun Yat-sen University during the period from February 2015 to February 2016. Logistic regression was used to develop the risk prediction model. Discriminative power was evaluated by the area under the receiver operating characteristics (ROC) curve (AUC). RESULTS: Sequential organ failure assessment (SOFA) score, antibiotic treatment period, and positive culture of Candida albicans other than normally sterile sites are the three predictors of invasive fungal disease in critically ill patients in the ICU. The model performs well with an ROC-AUC of .73. CONCLUSION: The risk prediction model performs well to discriminate between critically ill patients with or without invasive fungal disease. Physicians could use this prediction model for early diagnosis of invasive fungal disease and determination of the time to start early antifungal treatment of critically ill patients in the ICU.
Adult ; Candida albicans ; Critical Care* ; Critical Illness* ; Early Diagnosis ; Humans ; Intensive Care Units* ; Logistic Models ; Retrospective Studies ; Risk Factors ; ROC Curve ; Solar System

Hepatocellular carcinoma (HCC) is the most common malignant tumor of liver.HCC is characterized with poor early detection rate and rapid progression.Therefore,bringing the patients with heavy burden of disease,though poor prognosis.Conventional treatment options can include surgical resection or liver transplantation,trans-arterial chemoembolization,ablation,and targeted therapy,but it remains unsatisfying in prognosis improvement.By years,we have come to realize the role of dendritic cells in tumor immunotherapy.Dendritic cells will become a promising treatment option in improvement of prognosis of HCC patients.In this review,we will focus on current trends and updates on dendritic cell vaccines in HCC treatment.

Objective Use real-time fluorescence quantitative polymerase chain reaction(PCR)to determine HBV DNA,then calculate the linear range and the minimum detection limit,which are the main performance indicators in the laboratory verification. Methods According to the related documents,by serial dilution of high concentration samples,samples of serial concentrations were obtained which were out of the linear range mentioned in the instructions,then verifid the new linear range.By serial dilution of low concentration,samples were obtained,the concentrations of which were lower than the minimum detection limit of provide by the manufacturer,then the new minimum detection limit was verified.Results The linear range of HBV DNA detection was 8.58× 102 -8.41×107 IU/mL,and the minimum detection limit of HBV DNA detection was 4.07 ×102 IU/mL.Conclusion The linear range and the minimum detection limit of Real-time fluorescence quantitative PCR assessed reaches the expected requirement,and the method and validation scheme are simple and feasible.

Objective To research the effects of parenteral nutrition(PN)with high branchedchain amino acid(BCAA)content for critically ill patients in general ICU.Methods A total of60 patientsfrom the general ICU were randomly divided into the control group(30 cases)and treatment group(30 cases).The control group was given PN with balanced amino acids,while the treatment group received PNwith high content of BCAA.Therapeutic outcomes and the blood parameters were measured betweengroups.Results Total protein (TP),albumin (ALB),prealbumin (PA),arm muscle circumference(AMC)and arm circumference(MAC)of the treatment group increased significantly(P <0.05).In thecontrol group,the change of TP,ALB and PA after 7 days was statistically significant(P <0.05).Compared to the control group,the improvement of parameters in the treatment group was more obvious.Conclusion For patients in general ICU,parenteral nutrition with high BCAA content is able to provide effective nutritional support without relative sideeffects.