Sepsis presents challenges in clinical treatment due to its high incidence,difficult treatment,and high fatality rate.The intestine has long been considered the"motor"of multiple organ dysfunction syndrome(MODS).Intestinal dysfunction is one of the common complications of sepsis,which is often neglected due to its hidden occurrence and poor clinical efficacy,leading to poor prognosis.Therefore,it is of great significance to explore the pathogenesis and treatment of intestinal dysfunction in sepsis.As an effective supplement for the clinical treatment of intestinal dysfunction in sepsis,Traditional Chinese medicine has been paid more and more attention by clinicians.This article summarizes the research progress on the pathogenesis of sepsis-induced intestinal dysfunction and the clinical application of traditional Chinese medicine(TCM),aiming to provide more ideas and references for the clinical treatment of sepsis.

Objective To propose a method for mitigate the impact of anomaly points(such as dust,bubbles,scratches on the chip surface,and minor indentations)in images on the results of digital droplet PCR(ddPCR)detection to achieve high-throughput,stable,and accurate detection.Methods We propose a Filter Faster R-CNN ddPCR detection model,which employs Faster R-CNN to generate droplet prediction boxes followed by removing the anomalies within the positive droplet prediction boxes using an outlier filtering module(Filter).Using a plasmid carrying a norovirus fragment as the template,we established a ddPCR dataset for model training(2462 instances,78.56%)and testing(672 instances,21.44%).Ablation experiments were performed to test the effectiveness of 3 filtering branches of the Filter for anomaly removal on the validation dataset.Comparative experiments with other ddPCR droplet detection models and absolute quantification experiments of ddPCR were conducted to assess the performance of the Filter Faster R-CNN model.Results In low-dust and dusty environments,the Filter Faster R-CNN model achieved detection accuracies of 98.23%and 88.35%for positive droplets,respectively,with composite F1 scores reaching 99.15%and 99.14%,obviously superior to the other models.The introduction of the filtering module significantly enhanced the positive accuracy of the model in dusty environments.In the absolute quantification experiments,a regression line was plotted using the results from commercial flow cytometry equipment as the standard concentration.The results show a regression line slope of 1.0005,an intercept of-0.025,and a determination coefficient of 0.9997,indicating high consistency between the two results.Conclusion The ddPCR detection technique using the Filter Faster R-CNN model provides a robust detection method for ddPCR under various environmental conditions.

Objective To propose a method for mitigate the impact of anomaly points(such as dust,bubbles,scratches on the chip surface,and minor indentations)in images on the results of digital droplet PCR(ddPCR)detection to achieve high-throughput,stable,and accurate detection.Methods We propose a Filter Faster R-CNN ddPCR detection model,which employs Faster R-CNN to generate droplet prediction boxes followed by removing the anomalies within the positive droplet prediction boxes using an outlier filtering module(Filter).Using a plasmid carrying a norovirus fragment as the template,we established a ddPCR dataset for model training(2462 instances,78.56%)and testing(672 instances,21.44%).Ablation experiments were performed to test the effectiveness of 3 filtering branches of the Filter for anomaly removal on the validation dataset.Comparative experiments with other ddPCR droplet detection models and absolute quantification experiments of ddPCR were conducted to assess the performance of the Filter Faster R-CNN model.Results In low-dust and dusty environments,the Filter Faster R-CNN model achieved detection accuracies of 98.23%and 88.35%for positive droplets,respectively,with composite F1 scores reaching 99.15%and 99.14%,obviously superior to the other models.The introduction of the filtering module significantly enhanced the positive accuracy of the model in dusty environments.In the absolute quantification experiments,a regression line was plotted using the results from commercial flow cytometry equipment as the standard concentration.The results show a regression line slope of 1.0005,an intercept of-0.025,and a determination coefficient of 0.9997,indicating high consistency between the two results.Conclusion The ddPCR detection technique using the Filter Faster R-CNN model provides a robust detection method for ddPCR under various environmental conditions.

Objective:To observe the enhancement of trunk balance ability,pulmonary function,and diaphragm function in stroke patients after treatment of extemal diaphragm pacing(EDP),and analyze the potential correlation be-tween trunk balance ability and respiratory function metrics.Method:Thirty stroke patients meeting the inclusion criteria were selected from the department of rehabilitation medicine at the first affiliated hospital of Anhui medical university from January 2023 to August 2023.They were randomly divided into the observation group(n=15)and the control group(n=15).The control group re-ceived conventional rehabilitation therapy,while the observation group received EDP treatment in addition to conventional rehabilitation therapy for 4 weeks.Independent sample t-tests and rank-sum tests were used to compare the modified trunk impairment scale(mTIS)scores,forced vital capacity(FVC),forced expiratory volume in 1 second(FEV1),FEV1/FVC change in percentage of vital capacity from sitting to supine position(△VC),diaphragmatic excursion of quiet breath(DE-QB),diaphragmatic excursion of deep breath(DE-DB),and thickening fraction(TF)between the two groups of patients.Pearson correlation analysis was employed to explore the correlations among these indicators.Result:After 4 weeks of treatment,the mTIS,FVC,FEV1,and DE-DB of the control group were significant-ly improved than before(P＜0.05).The mTIS,FVC,FEV1,FEV1/FVC,DE-QB,DE-DB,and TF of the ob-servation group were significantly improved than before(P＜0.05);Except for DE-QB,the differences in the in-dicators before and after treatment in the observation group were significantly greater than those in the control group(P＜0.05).The mTIS scores of all 30 patients both before and after treatment were positively correlated with DE-QB,DE-DB,and TF(P＜0.05),while △VC was negatively correlated with mTIS and DE-DB(P＜0.05).Conclusion:EDP treatment can promote the recovery of respiratory function and trunk balance in stroke pa-tients.Additionally,the trunk balance ability in stroke patients displays a correlation with diaphragm function,but not with pulmonary function.

Objective:To observe the enhancement of trunk balance ability,pulmonary function,and diaphragm function in stroke patients after treatment of extemal diaphragm pacing(EDP),and analyze the potential correlation be-tween trunk balance ability and respiratory function metrics.Method:Thirty stroke patients meeting the inclusion criteria were selected from the department of rehabilitation medicine at the first affiliated hospital of Anhui medical university from January 2023 to August 2023.They were randomly divided into the observation group(n=15)and the control group(n=15).The control group re-ceived conventional rehabilitation therapy,while the observation group received EDP treatment in addition to conventional rehabilitation therapy for 4 weeks.Independent sample t-tests and rank-sum tests were used to compare the modified trunk impairment scale(mTIS)scores,forced vital capacity(FVC),forced expiratory volume in 1 second(FEV1),FEV1/FVC change in percentage of vital capacity from sitting to supine position(△VC),diaphragmatic excursion of quiet breath(DE-QB),diaphragmatic excursion of deep breath(DE-DB),and thickening fraction(TF)between the two groups of patients.Pearson correlation analysis was employed to explore the correlations among these indicators.Result:After 4 weeks of treatment,the mTIS,FVC,FEV1,and DE-DB of the control group were significant-ly improved than before(P＜0.05).The mTIS,FVC,FEV1,FEV1/FVC,DE-QB,DE-DB,and TF of the ob-servation group were significantly improved than before(P＜0.05);Except for DE-QB,the differences in the in-dicators before and after treatment in the observation group were significantly greater than those in the control group(P＜0.05).The mTIS scores of all 30 patients both before and after treatment were positively correlated with DE-QB,DE-DB,and TF(P＜0.05),while △VC was negatively correlated with mTIS and DE-DB(P＜0.05).Conclusion:EDP treatment can promote the recovery of respiratory function and trunk balance in stroke pa-tients.Additionally,the trunk balance ability in stroke patients displays a correlation with diaphragm function,but not with pulmonary function.

In this study, the current status for breast diseases in a region with high-incidence of cervical cancer were epidemiologically investigated. From March to August, 2009, 17618 women, from Wufeng area of Hubei province, China, were recruited to screen breast diseases by using breast infrared diagnostic apparatus. Other diagnostic methods, such as B-mode ultrasound, X-ray mammography, needle biopsy and pathological examination were, if necessary, used to further confirm the diagnosis. The screening showed that 5990 of 17618 cases (34.00%) had breast diseases, 5843 (33.16%) had mammary gland hyperplasia, 48 (0.27%) had breast fibroadenoma, 11 (0.06%) had breast carcinoma, and 88 (0.50%) had other breast diseases. The peak morbidity of breast cancer was found in the women aged 50-60 ages. The morbidity of breast cancer was significantly increased in women elder than or equal to 50 years old (n=8, 0.157%) in comparison with that in the subjects younger than 50 years old (n=3, 0.024%) (u=2.327, P<0.05). It was shown that the occurrence of breast diseases was concentrated in women aged 20-40 years, while the total morbidity reached its peak at the age of 30 years and then decreased sharply after age of 40. Compared with the patients elder than or equal to 40 years old (n=3289, 27.46%), the morbidity rate of breast diseases was significantly increased in women less than 40 years old (2648 cases, 47.18%; P<0.001). However, there was no significant difference in the morbidity of breast diseases between the age group of 20-29 years and that of 30-39 years (P=0.453), and both of them were high. There was no significant association between the morbidity of breast diseases and cervical cancer. Since the morbidity of breast diseases was higher among young women, more attention should be paid to the screening of breast diseases among young women for early diagnosis.

In this study,the current status for breast diseases in a region with high-incidence of cervical cancer were epidemiologically investigated.From March to August,2009,17618 women,from Wufeng area of Hubei province,China,were recruited to screen breast diseases by using breast infrared diagnostic apparatus.Other diagnostic methods,such as B-mode ultrasound,X-ray mammography,needle biopsy and pathological examination were,if necessary,used to further confirm the diagnosis.The screening showed that 5990 of 17618 cases (34.00％) had breast diseases,5843 (33.16％) had mammary gland hyperplasia,48 (0.27％) had breast fibroadenoma,ll (0.06％) had breast carcinoma,and 88 (0.50％) had other breast diseases.The peak morbidity of breast cancer was found in the women aged 50-0 ages.The morbidity of breast cancer was significantly increased in women elder than or equal to 50 years old (n=8,0.157％) in comparison with that in the subjects younger than 50 years old (n=3,0.024％) (u=2.327,P＜0.05).It was shown that the occurrence of breast diseases was concentrated in women aged 20-40 years,while the total morbidity reached its peak at the age of 30 years and then decreased sharply after age of 40.Compared with the patients elder than or equal to 40 years old (n=3289,27.46％),the morbidity rate of breast diseases was significantly increased in women less than 40 years old (2648 cases,47.18％; P＜0.001).However,there was no significant difference in the morbidity of breast diseases between the age group of 20-29 years and that of 30-39 years (P=0.453),and both of them were high.There was no significant association between the morbidity of breast diseases and cervical cancer.Since the morbidity of breast diseases was higher among young women,more attention should be paid to the screening of breast diseases among young women for early diagnosis.