[Objective] To explore the effectiveness of applying the PDCA (Plan-Do-Check-Act) cycle to enhance the compatibility rate of five Rh blood group antigen phenotypes between donors and recipients across multiple hospital campuses. [Methods] Clinical blood transfusion data from May to July 2022 were selected. Specific improvement measures were formulated based on the survey results, and the PDCA cycle management model was implemented from August 2022. The post-intervention phase spanned from August 2022 to October 2023. The Rh phenotype compatibility rate, the detection rate of Rh system antibodies, and the proportion of Rh system antibodies among unexpected antibodies were compared between the pre-intervention phase (May to July 2022) and the post-intervention phase. [Results] After the continuous improvement with the PDCA cycle, the compatibility rate for the five Rh blood group antigen phenotypes between donors and recipients from August to October 2023 reached 81.90%, significantly higher than the 70.54% recorded during the pre-intervention phase (May to July 2022, P<0.01), and displayed a quarterly upward trend (β=0.028, P<0.05). The detection rate of Rh blood group system antibodies (β=-9.839×10^-5, P<0.05) and its proportion among all detected antibodies (β=-0.022, P<0.05) showed a quarterly decreasing trend, both demonstrating a negative correlation with the enhanced compatibility rate (r values of -0.981 and -0.911, respectively; P<0.05). [Conclusion] The implementation of targeted measures through the PDCA cycle can effectively increase the compatibility rate of five Rh blood group antigen phenotypes between donors and recipients, reduce the occurrence of unexpected Rh blood group antibodies, thereby lowering the risk of transfusion and enhancing the quality and safety of medical care.

OBJECTIVE To study the improvement effect and mechanism of Shengmai powder on heart failure （HF） mice with qi-yin deficiency. METHODS The mice were randomly divided into blank group （water）， model group （water）， Shengmai powder low-， medium-， and high-dose groups [2.61， 5.22 and 10.44 g/kg （based on crude drug dosage）] and positive control group （metoprolol， 30 mg/kg）， with 10 mice in each group. Except for the blank group， all other groups were subcutaneously injected with D-galactose， and a qi-yin deficiency HF mice model was established by continuous food restriction and weight-bearing swimming. At the same time of modeling， the corresponding medicine/water was gavaged once a day for five weeks. The general state of mice was recorded and the traditional Chinese medicine （TCM） syndrome score was evaluated. Behavioral experiments were conducted to investigate the total distance of open field action， the percentage of immobility time， and the swimming exhaustion time of mice. The contents of aspartate transaminase （AST）， creatine kinase （CK） and lactate dehydrogenase （LDH） in the serum of mice were detected； cardiac function indexes [heart rate， left ventricular ejection fraction （LVEF）， left ventricular end systolic diameter （LVESD）， left ventricular end diastolic diameter （LVEDD）， left ventricular mass index and whole heart mass index] were all detected； the histopathological morphology of mice myocardium was observed； the level of cardiomyocyte apoptosis in mice was detected； mRNA expression levels of B-cell lymphoma 2 （Bcl-2）， Bcl-2 associated X protein （Bax）， and Cleaved-caspase-3 in myocardial tissue of mice were detected； the phosphorylation levels of sarcoplasmic reticulum calcium regulatory related proteins [ryanodine receptor 2 （RyR2） and phospholamban （PLB）] in myocardial tissue of mice were detected. RESULTS Compared with the blank group， the body weight， total distance of open field action， swimming exhaustion time， LVEF， LVEDD， Bcl-2 mRNA expression level in myocardial tissue and PLB protein phosphorylation level in the model group were significantly reduced/shortened （P＜0.05）； TCM syndrome score， the percentage of immobility time， heart rate， LVESD， left ventricular mass index， whole heart mass index， cardiomyocyte apoptosis rate， the contents of CK， LDH and AST in serum， mRNA expression levels of Cleaved-caspase-3 and Bax and the phosphorylation level of RyR2 protein in myocardial tissue were significantly increased （P＜0.05）； there were inflammatory cell infiltration， disordered cell arrangement and obvious myocardial interstitial fibrosis in myocardial tissue. After the intervention of Shengmai powder， most of the above quantitative indexes in mice were significantly reversed （P＜0.05）， the inflammatory cell infiltration in myocardial tissue was reduced， and the degree of fibrosis was significantly reduced. CONCLUSIONS Shengmai powder can improve cardiac function， reduce the level of cardiomyocyte apoptosis and myocardial fibrosis in HF mice with qi-yin deficiency. Its mechanism may be related to the regulation of the expression of sarcoplasmic reticulum calcium regulation related proteins.

OBJECTIVES: We propose a YOLOv11-TDSP model for improving the accuracy of dental abnormality detection on panoramic oral X-ray images. METHODS: The SHSA single-head attention mechanism was integrated with C2PSA in the backbone layer to construct a new C2PSA_SHSA attention mechanism. The computational redundancy was reduced by applying single-head attention to some input channels to enhance the efficiency and detection accuracy of the model. A small object detection layer was then introduced into the head layer to correct the easily missed and false detections of small objects. Two rounds of structured pruning were implemented to reduce the number of model parameters, avoid overfitting, and improve the average precision. Before training, data augmentation techniques such as brightness enhancement and gamma contrast adjustment were employed to enhance the generalization ability of the model. RESULTS: The experiment results showed that the optimized YOLOv11-TDSP model achieved an accuracy of 94.5%, a recall rate of 92.3%, and an average precision of 95.8% for detecting dental abnormalities. Compared with the baseline model YOLOv11n, these metrics were improved by 6.9%, 7.4%, and 5.6%, respectively. The number of parameters and computational cost of the YOLOv11-TDSP model were only 12% and 13% of those of the high-precision YOLOv11x model, respectively. CONCLUSIONS The lightweight YOLOv11-TDSP model is capable of highly accurate identification of various dental diseases on panoramic oral X-ray images.
Radiography, Panoramic/methods* ; Humans ; Algorithms ; Tooth Abnormalities/diagnostic imaging*

The protein kinase A/protein kinase G/protein kinase C-family (AGC kinase family) of eukaryotes is involved in regulating numerous biological processes. The 3-phosphoinositide- dependent protein kinase 1 (PDK1), is a conserved serine/threonine kinase in eukaryotes. To understand the roles of PDK1 homologous genes in cell death and immunity in tetraploid Nicotiana tabacum, the previuosly generated transgenic CRISPR/Cas9 lines, in which 5-7 alleles of the 4 homologous PDK1 genes (NtPDK1a/1b/1c/1d homologs) simultaneously knocked out, were used in this study. Our results showed that the hypersensitive response (HR) triggered by transient overexpression of active Pto (Pto^Y207D) or soybean GmMEKK1 was significantly delayed, whereas the resistance to Pseudomonas syrangae pv. tomato DC3000 (Pst DC3000) and tobacco mosaic virus (TMV) was significantly elevated in these partial knockout lines. The elevated resistance to Pst DC3000 and TMV was correlated with the elevated activation of NtMPK6, NtMPK3, and NtMPK4. Taken together, our results indicated that NtPDK1s play a positive role in cell death but a positive role in disease resistance, likely through negative regulation of the MAPK signaling cascade.
Nicotiana/virology* ; Disease Resistance/genetics* ; Plant Diseases/immunology* ; Plants, Genetically Modified/genetics* ; Gene Knockout Techniques ; Plant Proteins/genetics* ; CRISPR-Cas Systems ; Protein Serine-Threonine Kinases/genetics* ; 3-Phosphoinositide-Dependent Protein Kinases/genetics* ; Pyruvate Dehydrogenase Acetyl-Transferring Kinase ; Tobacco Mosaic Virus/pathogenicity*

Objective To investigate factors that affect the treatment effect of laser vitrectomy for vit-reous opacity and the related factors that affect patient satisfaction,so as to evaluate its clinical value.Methods A total of 196 patients with vitreous opacity treated using the Ultra Q ReflexTM Nd:YAG laser system at our hospital between October 2019 and February 2024 were enrolled.Patient medical records and satisfaction questionnaires were analyzed.Investigational data underwent machine-coded classification,and a Python-based decision tree prediction model was employed to identify factors affecting treatment outcomes.Stata18.0 OLS linear regression was used to assess correlations between patient satisfaction and variables such as healthcare provider quality,treatment accessibility,and medical environment.Results After laser vitrectomy,95.3%of patients with vitreous opacity showed significant improvement in symptoms,and 90.3%expressed satisfac-tion with the improvement in postoperative visual quality.Patients'gender,age,preoperative vitreous opacity morphology,and refractive error below-6.00D had an impact on the treatment outcome(P<0.05).Python decision tree analysis demonstrated superior efficacy in patients aged>30-45 years with 6-12 months of symptom duration and refractive error<-6.00D.Stata18.0 OLS linear regression analysis showed that all examined variables were positively correlated at the 1%significance level,with patients'expected feelings having the greatest impact on postoperative satisfaction with treatment(r=1.053).Conclusion Ultra Q Nd:YAG laser vitreous ablation demonstrates high safety and patient satisfaction for vitreous opacity treatment.

Objective To investigate the effect of Saikosaponin A(SSA)on the differentiation,apoptosis and function of mouse bone marrow derived macrophages(BMDM)-derived M1/M2 macrophages,and to explore its molecular mechanism.Methods BMDM was induced to differentiate into M1/M2 macrophages in vitro,and SSA was added at the same time:CCK-8 assay was used to detect the viability of BMDM and M1/M2 macrophages.The morphology of M1/M2 macrophages was observed by inverted fluorescence microscopy.Flow cytometry(FCM)and ELISA were used to detect the levels of surface markers and cytokines in M1/M2 macrophages.Real-time fluorescent quantitative PCR(qPCR)was used to detect the mRNA levels of IL-6,TNF-α and arginase-1(Arg-1).FCM was used to detect the phagocytosis of peritoneal macrophages to fluorescent microsphere particles.Immunofluorescence(IF)assay and Western blotting were used to detect the molecular mechanism of SSA regulating M1/M2 macrophages.Results No significant effect on viability of M1/M2 macrophages was observed at SSA concentration of 10.0 mg/L,and obvious inhibition was seen at a concentration of 15.0 mg/L(P<0.01).Treatment of 10.0 mg/L SSA induced obvious morphologic changes in M1/M2 macrophages,with M1 macrophages in irregular shape,a few having pseudopods,and some showing unclear boundaries;while some M2 macrophages presenting round or irregular(P<0.001)with unclear boundaries.SSA treatment also resulted in significantly decreased proportion of M1/M2 macrophages after BMDM differentiation(P<0.05),with reduced contents of IL-6 and TNF-α secreted by M1 macrophages and their mRNA levels(P<0.05),but increased secretion of Arg-1 and mRNA levels by M2 macrophages(P<0.05).SSA treatment also inhibited the phagocytosis ability of peritoneal macrophages to fluorescent microsphere particles(P<0.01)in a concentration-dependent manner.SSA decreased the phosphorylation of NF-kappaB(p-NF-κB)(P<0.01)and enhanced the phosphorylation of signal transducer and activator of transcription 6(p-STAT6)in M2 macrophages(P<0.05).Conclusion SSA may affect the differentiation and function of M1/M2 macrophages by regulating NF-κB and STAT6 signaling pathways.

Objective To construct and evaluate the prediction model of maternal mortality in Yunnan Province,and predict the maternal mortality rate in Yunnan Province from 2024 to 2030.Methods Based on the maternal mortality rates in Yunnan Province from 1994 to 2023,a grey prediction model and a autoregressive integrated moving average model were constructed,The models were compared using mean absolute error,mean square error and root mean square error to assess their fitting performance,and the optimal model was used to predict the maternal mortality rate in Yunnan Province from 2024 to 2030.Resuls The maternal mortality rate in Yunnan Province showed a continuous decline from 1994 to 2023(χ2=50 170.0,P<0.05).The mean absolute error,mean-square error and root mean-square error for the grey prediction model were 2.424,12.389,3.519,respectively,while for the differential autoregressive moving average model,they were 3.966,27.651,5.258,respectively.The prediction effect of the grey prediction model is superior to that of the autoregressive integrated moving average model,with a posterior difference ratio C=0.079 and a low probability error P=1,indicating a prediction accuracy of level 1.Using the grey prediction model,the maternal mortality rates for Yunnan Province from 2024 to 2030 are 10.05/100 000,9.16/100 000,8.34/100 000,7.59/100 000,691/100 000,6.30/100 000 and 5.73/100 000,respectively.Conclusion The grey prediction model has a good prediction effect on maternal mortality in Yunnan Province.It is predicted that the maternal mortality rate in Yunnan Province in 2030 can meet the control targets outlined in the"Healthy China 2030 Plan",the"Outline of Chinese Women's Development(2021-2030)"and the"Yunnan Women's Development Plan(2021-2030)".

OBJECTIVE To investigate the improvement effects of 3，5，6，7，8，3′，4′-heptamethoxyflavone （HMF） of Fructus Aurantii on rats with damp blockage of the middle energizer. METHODS The rats were randomly divided into normal group， model group， positive control group （Raceanisodamine tablet， 1 mg/kg）， HMF low-dose， medium-dose and high-dose groups （0.3， 0.6， 0.9 mg/kg）， with 7 rats in each group. Except for the normal group， the other groups were modeled by internal and external composite factors. After successful modeling， the rats in each group were given the corresponding drug or normal saline， once a day， for 14 days. The general behavioral states such as dietary intake， water intake and mental state of the rats were observed， and the fecal water content rate and saliva flow rate were measured. Hematoxylin-eosin （HE） staining was used to observe the pathological and morphology in gastric and small intestinal tissues of rats. The plasma content of aldosterone was detected， and the expression of aquaporins （AQP3） in the gastric tissue of rats was determined. RESULTS Compared with the normal group， the dietary intake and water intake of the model group rats were significantly decreased （P＜0.01）， the fecal water content rate， salivary flow rate， plasma content of aldosterone and the expression of AQP3 in gastric tissue were increased significantly （P＜0.01）. Gastric tissue injury invaded the mucosal muscle layer， resulting in mucosal muscle layer rupture； pathological and morphological changes such as small intestinal villous erosion and glandular structure destruction were observed in the small intestine. Compared with the model group， the dietary intake and water intake of rats were increased in HMF groups； fecal water content rate， salivary flow rate， plasma content of aldosterone， the expression of AQP3 in gastric tissue were decreased， most of the above differences were statistically significant （P＜0.05 or P＜0.01）. The pathological and morphological changes in the gastric and small intestine tissues of rats had been improved to varying degrees. CONCLUSIONS HMF of Fructus Aurantii with dry property HMF could improve the symptoms of rats with damp blockage of middle energizer， the mechanism of which may be associated with reducing the content of plasma aldosterone and down-regulating the expression of gastric AQP3.

Objective To develop and validate a machine learning (ML)model based on serum Klotho protein that can accurately predict all-cause mortality in chronic kidney disease (CKD ) patients.Methods A retrospective cohort trial was conducted on all the non-dialysis adult patients diagnosed with CKD stages 1～5 in our department from February 7,2012 to October 18,2019.They were assigned into a training set and an internal validation set in a ratio of 7:3.A total of 47 clinical features,including serum Klotho protein level,were used as variables to inform these models.Based on the training set,univariate Cox regression model was employed to screen out the possible risk factors for all-cause mortality,and Lasso-Cox regression model was further applied for the screening.Then multivariate Cox stepwise regression analysis was conducted to develop a nomogram risk prediction model for all-cause mortality,and the model performance was evaluated through internal validation.Results There were totally 400 patients enrolled in this trial,and 280 of them (including 52 dead and 228 survival)were assigned into the training set and other 120 (including 21 dead and 99 survival)into the validation set.For the constructed 5-year all-cause mortality risk prediction model,the area under the curve (AUC)value was 0.760 (95％CI:0.676～0.844)in the training set and 0.788 (95％CI:0.679～0.897)in the validation set,and the overall C-index was 0.755 (95％CI:0.685～0.826)and 0.720 (95％CI:0.614～0.826),respectively in the 2 sets.Univariate Cox regression analysis showed that age,history of cardiovascular disease(CVD),cystatin C(Cys-C),alkaline phosphatase (ALP),albumin,eosinophil (EOS)count,hemoglobin (Hb),complement C3,calcium,C-reactive protein (CRP),TNF-α and serum Klotho protein may be predictive factors for all-cause mortality (P<0.05).Multivariate Cox stepwise regression analysis finally screened age,albumin,complement C3 and serum Klotho protein as independent predictors (P<0.05).Based on these 4 predictors,a risk prediction model for all-cause mortality was constructed and validated.Conclusion A Klotho-based risk ML model for predicting all-cause mortality in CKD patients is successfully developed and validated.Advanced age is a risk factor,and higher albumin,complement C3 and serum Klotho protein levels are protective factors for all-cause mortality in CKD patients.

Objective:To investigate the teaching effect of blended teaching mode based on BOPPPS in the teaching of Natural Medicinal Chemistry.Methods:The undergraduate students of grade 2019 majoring in pharmacy of a medical college were selected as the research objects and divided into 2 groups randomly.Students in class 2 were set as the control group(n=27)and students in class 1 were set as the experimental group(n=29).The students of the two classes were taught by the same group of teachers.The control group adopted traditional teaching methods and classroom teaching as the main teaching mode combines with multimedia teaching.The experimental group received blended teaching mode based on BOPPPS.The final examination scores,teaching effects and student satisfaction of the two groups were compared and analyzed.Results:The survey results showed that the teaching effect of the blended teaching model based on BOPPPS was recognized by 96.55%of the students in the experimental group.The final examination score in the experimental group was higher than that in the control group(P＜0.05).The teaching effect of the experimental group was significantly better than that of the control group(P＜0.05),and the satisfaction of students in the experimental group was higher than that in the control group(P＜0.05).Conclusion:The application of blended teaching mode based on BOPPPS in the teaching of Natural Medicinal Chemistry can effectively stimulate students'learning interest and improve the teaching quality.