ObjectiveTo improve the accuracy of discrete element method in simulating the processing of traditional Chinese medicine（TCM） powder system under low shear conditions. MethodsIn this study， extract powders of Tongsaimai tablets and Qige granules were used as the research objects， the angle of repose（AOR） and effective angle of internal friction of the two materials were determined by AOR test method and shear cell test method. Based on the Hertz-Mindlin with JKR V2 contact model and particle scaling theory， taking the particle-particle restitution coefficient（A）， particle-particle static friction coefficient（B）， particle-particle rolling friction coefficient（C）， particle-steel restitution coefficient（D）， particle-steel static friction coefficient（E）， particle-steel rolling friction coefficient（F） and Johnson-Kendall-Roberts（JKR） surface energy（G） as test factors， the simulated contact parameters of Tongsaimai tablets extract powder were first calibrated with a single reference value using AOR as the reference value， and then the simulated contact parameters of Tongsaimai tablets extract powder as well as Qige granules extract powder were co-calibrated with AOR and effective angle of internal friction as the joint reference value， respectively. Then， Plackett-Burman design was used to screen the critical contact parameters that have a significant effect on the simulated reference value， and the steepest ascent design was used to determine the optimal range of the critical contact parameters， finally， the regression model between the critical contact parameters and the simulated reference values was established through the design of the response surface test， and the critical contact parameters were calibrated based on the regression model and the desirability function approach. ResultsThe optimal combination of discrete elemental contact parameters A-G for Tongsaimai tablets extract powder under a single reference value was 0.100， 0.718， 0.616， 0.100， 0.400， 0.250 and 0.075 J·m^-2， which was validated to have relative errors of 0.10% and -8.64% for the simulated AOR and the simulated effective angle of internal friction， respectively. And the optimal combination of discrete elemental contact parameters A-G for Tongsaimai tablets extract powder at the joint reference values was 0.100， 0.682， 0.598， 0.100， 0.521， 0.294 and 0.075 J·m^-2， which was verified to have relative errors of 0.10% and -0.18% for the simulated AOR and the simulated effective angle of internal friction， respectively. The optimal combination of discrete elemental contact parameters A-G for Qige granules extract powder at the joint reference values was 0.150， 0.370， 0.330， 0.150， 0.500， 0.500 and 0.100 J·m^-2， which was verified to have relative errors of 2.70% and -1.30% for the simulated AOR and the simulated effective angle of internal friction， respectively. Compared with the single reference value method， the joint calibration method not only increased the number of the critical contact parameters for characterizing particle-device interactions， but also was more accurate and reliable. ConclusionCompared with the results of single reference value calibration， the results obtained by the method of joint calibration of discrete element simulation contact parameters with AOR and effective angle of internal friction as the reference values are more accurate， which can provide more accurate and reliable simulation physical property data for the simulation experiments of TCM extract powder under low shear process conditions.

Clinical practice guidelines represent the best recommendations for patient care. They are developed through systematically reviewing currently available clinical evidence and weighing the relative benefits and risks of various interventions. However, clinical practice guidelines have to go through a long translation cycle from development and revision to clinical promotion and application, facing problems such as scattered distribution, high duplication rate, and low actual utilization. At present, the clinical practice guideline information platform can directly or indirectly solve the problems related to the lengthy revision cycles, decentralized dissemination and limited application of clinical practice guidelines. Therefore, this paper systematically examines different types of clinical practice guideline information platforms and investigates their corresponding challenges and emerging trends in platform design, data integration, and practical implementation, with the aim of clarifying the current status of this field and providing valuable reference for future research on clinical practice guideline information platforms.

The diagnosis of hematological disorders is currently established from the combined results of different tests, including those assessing morphology (M), immunophenotype (I), cytogenetics (C), and molecular biology (M) (collectively known as the MICM classification). In this workflow, most of the results are interpreted manually (i.e., by a human, without automation), which is expertise-dependent, labor-intensive, time-consuming, and with inherent interobserver variability. Also, with advances in instruments and technologies, the data is gaining higher dimensionality and throughput, making additional challenges for manual analysis. Recently, artificial intelligence (AI) has emerged as a promising tool in clinical hematology to ensure timely diagnosis, precise risk stratification, and treatment success. In this review, we summarize the current advances, limitations, and challenges of AI models and raise potential strategies for improving their performance in each sector of the MICM pipeline. Finally, we share perspectives, highlight future directions, and call for extensive interdisciplinary cooperation to perfect AI with wise human-level strategies and promote its integration into the clinical workflow.

Thyroid cancer is the most common malignant tumor of the head and neck, among which papillary thyroid carcinoma is the most common. Papillary thyroid carcinoma with a diameter of ≤ 1.0 cm is called thyroid micropapillary carcinoma. In recent years, thermal ablation technology for the treatment of thyroid micropapillary carcinoma has developed rapidly at home and abroad. At present, many guidelines, consensus and clinical studies related to thermal ablation treatment of thyroid micropapillary carcinoma have been published at home and abroad. Based on the existing literature, guidelines and clinical studies, this article summarizes, discusses and analyzes the advantages, indications, efficacy, safety, and existing problems of thermal ablation therapy for thyroid cancer.

Liver fibrosis is a significant health burden,marked by the consistent deposition of collagen.Unfortunately,the currently available treatment approaches for this condition are far from optimal.Lysyl oxidase-like protein 2(LOXL2)secreted by hepatic stellate cells(HSCs)is a crucial player in the cross-linking of matrix collagen and is a significant target for treating liver fibrosis.Mesenchymal stem cell-derived small extracellular vesicles(MSC-sEVs)have been proposed as a potential treatment option for chronic liver disorders.Previous studies have found that MSC-sEV can be used for microRNA delivery into target cells or tissues.It is currently unclear whether microRNA-4465(miR-4465)can target LOXL2 and inhibit HSC activation.Additionally,it is uncertain whether MSC-sEV can be utilized as a gene therapy vector to carry miR-4465 and effectively inhibit the progression of liver fibrosis.This study explored the effect of miR-4465-modified MSC-sEV(MSC-sEVmiR-4465)on LOXL2 expression and liver fibrosis development.The results showed that miR-4465 can bind specifically to the promoter of the LOXL2 gene in HSC.Moreover,MSC-sEVmiR-4465 inhibited HSC activation and collagen expression by downregulating LOXL2 expression in vitro.MSC-sEVmiR-4465 injection could reduce HSC activation and collagen deposition in the CCl4-induced mouse model.MSC-sEVmiR-4465 mediating via LOXL2 also hindered the migration and invasion of HepG2 cells.In conclusion,we found that MSC-sEV can deliver miR-4465 into HSC to alleviate liver fibrosis via altering LOXL2,which might provide a promising therapeutic strategy for liver diseases.

Objective:To identify the relationship between the CT arterial radiomics score and the treatment response to neoadjuvant therapy for pancreatic cancer.Methods:The clinical data of 243 pancreatic cancer patients who received surgical resection after neo-adjuvant therapy in the First Affiliated Hospital of Naval Medical University from March 2017 to March 2023 were retrospectively analyzed. Based on the tumor regression grade (TRG), the patients were divided into good response group (TRG 0-1, n=30) and non-good response group (TRG 2-3, n=213). The clinical, radiological and pathological features were compared between two groups. Fully-automated segmentation tool was used for segmenting the arterial CT scan of pancreatic tumor before and after treatment. Python package was applied to extract the radiomics features of tumors after segmentation and the extracted features were reduced and chosen using the least absolute shrinkage and selection operator (Lasso) logistic regression algorithm. Lasso logistic regression formula was applied to calculate the arterial radiomics score. Univariate and multivariate logistic regression models were used to analyze the association between arterial radiomics score and treatment response to neoadjucant therapy. Receiver operating-characteristics (ROC) curve was drawn and area under curve (AUC), specificity, sensitivity and accuracy for evaluating the treatment response were calculated. The clinical usefulness of arterial radiomics score for diagnosing the response of neoadjuvant treatment for pancreatic cancer were determined by decision curve analysis (DCA) . Results:A total of 330 arterial radiomics CT features were obtained, and 9-selected arterial phase features associated with treatment response were determined after being reduced by the Lasso logistic regression algorithm. Univariate analysis showed that the arterial radiomics score, three-dimensional diameter after neoadjuvant therapy, pancreatic contour, T stage, N stage, Peri-pancreatic nerve invasion, lymph-vascular space invasion (LVSI) and invasion of duodenum were all associated with treatment response (all P value <0.05). Multivariate logistic regression analyses confirmed that arterial radiomics score was obviously associated with the neoadjuvant treatment response ( P<0.001). At the cut-off value of 1.93, AUC of the arterial radiomics score for diagnosing neoadjuvant treatment response was 0.92, and the specificity, sensitivity and accuracy was 86.7%, 84.5% and 84.8%. DCA demonstrated that when the percentage for predicting the treatment response by using the arterial radiomics score was >0.2, the patients could benefit from the application of arterial radiomics score for evaluating neoadjuvant therapy response. Conclusions:The arterial radiomics score was strongly correlated with the neoadjuvant treatment response of pancreatic cancer, and can accurately predict neoadjuant treatment efficacy.

Objective:To investigate the symptom detection rate and stability of anxiety and sleep quality in police officers,as well as the time-related effect of anxiety on sleep quality.Methods:The Self-Rating Anxiety Scale(SAS)and Pittsburgh Sleep Quality Index(PSQI)were used to track the anxiety and sleep quality of 564 po-lice officers twice for a year.SAS standard score ≥50 and PSQI total score＞7 were the detection criteria for anxi-ety symptoms and sleep disorders,respectively.x2 test was used to compare the differences of detection rate and the proportion of people in different symptom conversion groups.Structural equation model was used to analyze the time-related effect of anxiety on sleep quality.Results:The detection rates of anxiety symptoms and sleep disorder-swere higher in the police officers than in other studies(Ps＜0.001).The proportion of police officers with and without anxiety symptoms and sleep disorders was higher than that of the other two groupswith changes before and after(Ps＜0.05).Baseline anxiety positively predicted baseline sleep quality index(β=0.26,P＜0.001),and anx-iety after 1 year positively predicted sleep quality index after 1 year(β=0.19,P＜0.001).Baseline anxiety posi-tively predicted the sleep quality index after 1 year(β=0.06,P＜0.01).Conclusion:It shows that the stability of anxiety and sleep quality in police officers is relatively higher,and there is a high correlation between anxiety and sleep quality.

Objective To design and optimize the detection system for cerebral hemorrhage for overcoming the limitations in microwave detection system,such as expensive equipment,complex antenna gating switch system and redundant antenna channels.Methods The system adopted the simplest patch antenna structure,optimized the antenna gating switch system and reduced the number of channels by radiofrequency switch chip strategy.The simulated cerebral hemorrhage was sampled and detected through the optimized detection system;and pattern recognition method was used to distinguish whether there was cerebral hemorrhage.Results XGBoost algorithm model showed superior performance in the task of cerebral hemorrhage recognition,with an accuracy of 1.000 on the test set,an average accuracy of 0.973 in K-fold cross-validation,and an accuracy of 0.996 on the training set.Conclusion The optimized cerebral hemorrhage detection system which has high detection accuracy and reliability has the potential to identify cerebral hemorrhage.

Hip fracture in the elderly is characterized by high incidence, high disability rate, and high mortality and has been recognized as a public health issue threatening their health. Surgery is the preferred choice for the treatment of elderly patients with hip fracture. However, lower extremity deep venous thrombosis (DVT) has an extremely high incidence rate during the perioperative period, and may significantly increase the risk of patients′ death once it progresses to pulmonary embolism. In response to this issue, the clinical guidelines and expert consensuses all emphasize active application of comprehensive preventive measures, including basic prevention, physical prevention, and pharmacological prevention. In this prevention system, basic prevention is the basis of physical and pharmacological prevention. However,there is a lack of unified and definite recommendations for basic preventive measures in clinical practice. To this end, the Orthopedic Nursing Professional Committee of the Chinese Nursing Association and Nursing Department of the Orthopedic Branch of the China International Exchange and Promotive Association for Medical and Health Care organized relevant nursing experts to formulate Expert consensus on perioperative basic prevention for lower extremity deep venous thrombosis in elderly patients with hip fracture ( version 2024) . A total of 10 recommendations were proposed, aiming to standardize the basic preventive measures for lower extremity DVT in elderly patients with hip fractures during the perioperative period and promote their subsequent rehabilitation.

Objective:To investigate the correlation between complement C3 and urine protein level and proteinuria remission status in patients with primary membranous nephropathy (PMN), and better guide individualized clinical treatment.Methods:It was a single-center retrospective study. The clinical data of PMN patients who underwent renal biopsy in the First Affiliated Hospital of Nanjing Medical University from January 2017 to June 2022 were collected. Patients with 24 h urinary protein ≥ 3.5 g were followed up after receiving standard treatment, and the last outpatient or inpatient review was used as the end point of follow-up. 24 h urine protein was collected to evaluate the remission status of proteinuria. Kaplan-Meier method was used to analyze the correlation between serum and renal complements and proteinuria remission. Cox regression analysis method was used to analyze the correlation between serum C3 level and renal tissue C3 deposition and proteinuria remission.Results:This study included 507 PMN patients with 312 (61.54%) males, aged 54 (43, 64) years old. Compared with 24 h urinary protein < 3.5 g group, proportion of males ( χ2=22.479, P<0.001), age ( Z=-2.521, P=0.012), systolic blood pressure ( Z=-4.148, P<0.001), diastolic blood pressure ( Z=-4.084, P<0.001), serum anti-phospholipase A2 receptor (PLA2R) antibody titer ( Z=-7.019, P<0.001), total cholesterol ( Z=-8.796, P<0.001), triglyceride ( Z=-6.158, P<0.001), low density lipoprotein cholesterol ( Z=-8.716, P<0.001), serum creatinine ( Z=-7.368, P<0.001), serum C3 ( Z=-3.663, P<0.001), serum C4 ( Z=-6.560, P<0.001), proportion of glucocorticoid use ( χ2=116.417, P<0.001) and proportion of immunosuppressant use ( χ2=53.839, P<0.001) were all higher, while serum albumin ( Z=12.518, P<0.001), estimated glomerular filtration rate ( Z=6.345, P<0.001) and serum IgG ( Z=7.321, P<0.001) were all lower in 24 h urinary protein ≥3.5 g group. There were 268 patients included in the follow-up cohort with baseline 24 h urinary protein of 7.15 (5.14, 10.24) g, serum anti-PLA2R antibody titer of 61.44 (14.35, 193.24) RU/ml, serum C3 of 1.005 (0.864, 1.150) g/L, and serum C4 of 0.260 (0.214, 0.317) g/L. Kaplan-Meier survival curve showed that the incomplete remission rate of proteinuria in serum C3 > 1.005 g/L group was lower than that in serum C3 ≤ 1.005 g/L group (log-rank χ2=4.757, P=0.029). There was no significant difference in the incomplete remission rate of proteinuria between serum C4 ≤ 0.260 g/L group and serum C4 > 0.260 g/L group (log-rank χ2=3.543, P=0.060). Renal C1q (log-rank χ2=0.167, P=0.683) and C4 (log-rank χ2=1.927, P=0.165) deposition had no significant effects on proteinuria remission in PMN patients. The incomplete remission rate of proteinuria in patients with renal C3 deposition was higher than that in patients without renal C3 deposition (log-rank χ2=7.018, P=0.008). Univariate Cox regression analysis showed that serum C3 level and C3 deposition in renal tissues were influencing factors of incomplete remission of proteinuria (both P<0.05), while adjusting for gender, age, mean arterial pressure, serum anti-PLA2R antibody, serum albumin and 24 h urinary protein, serum C3 ≤ 1.005 g/L ( HR=1.374, 95% CI 1.021-1.849, P=0.036), C3 deposition in renal tissues ( HR=1.949, 95% CI 1.098-3.460, P=0.023), and serum C3 ≤ 1.005 g/L combined with C3 deposition in renal tissues ( HR=1.472, 95% CI 1.093-1.983, P=0.011) were independent influencing factors of incomplete remission of proteinuria. Conclusions:The serum C3 level and C3 deposition in renal tissues are closely related to urinary protein level and proteinuria remission status in PMN patients. The patients with higher urinary protein have higher serum C3. For patients with massive proteinuria, serum C3 ≤ 1.005 g/L, C3 deposition in renal tissues, serum C3 ≤ 1.005 g/L combined with C3 deposition in renal tissues are independent risk factors of incomplete remission of proteinuria.