[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*

Since the proposal of the concept of the gut-liver axis,a large number of studies have focused on exploring the connection between gut microbiota and liver disease;however,the idea of using pyroptosis as a hub to explore the intrinsic mechanism of gut-liver crosstalk is still in its infancy.This article mainly describes the process by which gut microbiota dysbiosis affects the integrity of mucosal barrier and bile acid metabolism,induces pyroptosis,and thereby affects the development and progression of liver diseases,and it also concludes that gut microbiota dysbiosis affects liver diseases by inducing NLRP3/AIM2/Caspase-1-dependent,Caspase-4/11/GSDMD-dependent,and Caspase-3/GSDME-dependent pyroptosis.In summary,this study aims to provide new ideas and targets for the future diagnosis and treatment of liver diseases by establishing the connection between pyroptosis and intestinal-liver immune crosstalk.

Objective This study investigated the epidemic characteristics and spatio-temporal dynamics of hemorrhagic fever with renal syndrome (HFRS) in Qingdao City,China. Methods Information was collected on HFRS cases in Qingdao City from 2010 to 2022. Descriptive epidemiologic,seasonal decomposition,spatial autocorrelation,and spatio-temporal cluster analyses were performed. Results A total of 2,220 patients with HFRS were reported over the study period,with an average annual incidence of 1.89/100,000 and a case fatality rate of 2.52％. The male:female ratio was 2.8:1. 75.3％ of patients were aged between 16 and 60 years old,75.3％ of patients were farmers,and 11.6％ had both "three red" and "three pain" symptoms. The HFRS epidemic showed two-peak seasonality:the primary fall-winter peak and the minor spring peak. The HFRS epidemic presented highly spatially heterogeneous,street/township-level hot spots that were mostly distributed in Huangdao,Pingdu,and Jiaozhou. The spatio-temporal cluster analysis revealed three cluster areas in Qingdao City that were located in the south of Huangdao District during the fall-winter peak. Conclusion The distribution of HFRS in Qingdao exhibited periodic,seasonal,and regional characteristics,with high spatial clustering heterogeneity. The typical symptoms of "three red" and"three pain" in patients with HFRS were not obvious.

The medical-industrial fusion training model combines the knowledge and technology of medical and engineering disciplines in the training of oncology graduate students, which can help accurate diagnosis and treatment of tumors, promote cooperation and innovation in oncology research, as well as promote the cultivation and exchanges of composite and innovative medical talents in oncology, promote the innovation and development of oncology diagnostic and treatment technology, and improve the survival rate and quality of life of oncology patients. This paper discusses the application of medical-industrial fusion training model in the training of o ncology professionals, and explores the new teaching mode of medical-industrial fusion thinking in the cultivation of complex and innovative medical talents in oncology under the background of "new medical science".

With the deepening of China's medical reform, people's demand for health is growing, which promotes the construction of "new medicine" and puts forward higher requirements for the cultivation and education of medical students. Undergraduate medical education is a crucial period for the growth of medical students, and how to do a good job in undergraduate teaching under the background of "new medicine" is currently a research hotspot. The clinical teaching stage is an important period for medical students to fully understand clinical disciplines and cultivate their understanding of specialties. Therefore, we should explore new teaching methods and means to adapt to the needs of the new era. In the context of "new medicine", the medical-engineering fusion diagnosis and treatment technology has become an important trend in the clinical diagnosis and treatment of oncology. In order to adapt to this change, clinical teaching and teaching management in oncology also need new exploration and research. Taking the clinical teaching of oncology as an example, this article discusses how to cultivate medical students' thinking of medical-engineering fusion.

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.

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.