The general models for intermediates quality analysis in the production process of Yaobitong capsule were established by near infrared spectroscopy (NIRS) combined with chemometrics, realizing the rapid determination of notoginsenoside R1, ginsenoside Rg1, ginsenoside Re, ginsenoside Rb1, ginsenoside Rd and moisture. The spray-dried fine powder and total mixed granule were selected as research objects. The contents of five saponins were determined by high performance liquid chromatography and the moisture content was determined by drying method. The measured contents were used as reference values. Meanwhile, NIR spectra were collected. After removing abnormal samples by Monte Carlo cross validation (MCCV), Monte Carlo uninformative variables elimination (MC-UVE) and competitive adaptive reweighted sampling (CARS) were used to select feature variables respectively. Based on the feature variables, quantitative models were established by partial least squares regression (PLSR), extreme learning machine (ELM) and ant lion optimization least squares support vector machine (ALO-LSSVM). The results showed that CARS-ALO-LSSVM model had the optimum effect. The correlation coefficients of the six index components were greater than 0.93, and the relative standard errors were controlled within 6%. ALO-LSSVM was more suitable for a large number of samples with rich information, and the prediction effect and stability of the model were significantly improved. The general models with good predicting effect can be used for the rapid quality determination of Yaobitong capsule intermediates.

Objective To predict the lymph node metastasis status of patients with invasive pulmonary adenocarcinoma by constructing machine learning models based on primary tumor radiomics, peritumoral radiomics, and habitat radiomics, and to evaluate the predictive performance and generalization ability of different imaging features. Methods A retrospective analysis was performed on the clinical data of 1 263 patients with invasive pulmonary adenocarcinoma who underwent surgery at the Department of Thoracic Surgery, Jiangsu Province Hospital, from 2016 to 2019. Habitat regions were delineated by applying K-means clustering (average cluster number of 2) to the grayscale values of CT images. The peritumoral region was defined as a uniformly expanded area of 3 mm around the primary tumor. The primary tumor region was automatically segmented using V-net combined with manual correction and annotation. Subsequently, radiomics features were extracted based on these regions, and stacked machine learning models were constructed. Model performance was evaluated on the training, testing, and internal validation sets using the area under the receiver operating characteristic curve (AUC), F1 score, recall, and precision. Results After excluding patients who did not meet the screening criteria, a total of 651 patients were included. The training set consisted of 468 patients (181 males, 287 females) with an average age of (58.39±11.23) years, ranging from 29 to 78 years, the testing set included 140 patients (56 males, 84 females) with an average age of (58.81±10.70) years, ranging from 34 to 82 years, and the internal validation set comprised 43 patients (14 males, 29 females) with an average age of (60.16±10.68) years, ranging from 29 to 78 years. Although the habitat radiomics model did not show the optimal performance in the training set, it exhibited superior performance in the internal validation set, with an AUC of 0.952 [95%CI (0.87, 1.00)], an F1 score of 84.62%, and a precision-recall AUC of 0.892, outperforming the models based on the primary tumor and peritumoral regions. Conclusion The model constructed based on habitat radiomics demonstrated superior performance in the internal validation set, suggesting its potential for better generalization ability and clinical application in predicting lymph node metastasis status in pulmonary adenocarcinoma.

Objective:To explore the application of virtual augmented reality (AR) technology combined with transcranial Doppler ultrasound (TCD) in nursing teaching of cerebrovascular diseases.Methods:Eighty-six nursing students who interned in the Department of Neurology of The First Affiliated Hospital of Army Medical University from January 2021 to November 2022 were assigned into control group (students of grade 2021) and research group (students of grade 2022). The control group received traditional teaching with AR technology about the anatomy of the cerebral arterial circle, its composition, and adjacent structures. The research group was given AR-assisted teaching combined with TCD-based demonstration and interpretation. At the end of internship, the assessment scores, satisfaction with teaching, clinical decision-making ability, self-learning ability, and problem-solving ability were compared between the two groups. SPSS 23.0 was used to perform the non-parametric test, t test, and chi-square test. Results:The theoretical, practical, and comprehensive ability assessment scores of the research group [90 (89, 96), 95 (90, 96), and 93 (90, 96), respectively] were significantly higher than those of the control group [89 (87, 91), 90 (89, 92), and 91 (89, 94), respectively]. In terms of satisfaction with teaching effects, teaching methods, teaching content, and teaching style, the scores of the research group [16 (15, 18), (5.98±0.91), (3.38±0.52), and 13 (11, 14), respectively] were significantly higher than those of the control group [14 (13, 16), (4.23±0.65), (2.37±0.36), and 13 (10, 14 ), respectively]. The research group showed significantly better independent learning abilities than the control group in information seeking [(4.66±0.71) vs. (4.00±0.61)] and solution seeking [(4.43±0.68) vs. (4.41±0.67)], with no significant differences in the other dimensions between the two groups. The research group was significantly superior to the control group in all problem-solving dimensions: positive orientation [12 (10, 12) vs. 10 (9, 11)], rationality [26 (23, 28) vs. 21 (21, 24)], negative orientation [15 (13, 20) vs. 20 (17, 20)], avoidance style [17 (15, 18) vs. 19 (17, 20)], and impulsivity/neglect style [16 (15, 18) vs. 18 (16, 20)]. For rounds assessment, the research group showed significantly higher scores than the control group in all the items except " communication with patients" [(9.21±0.39) vs. (9.04±0.53)] and "patient satisfaction with nursing students" [(8.92±0.53) vs. (8.73±0.56)].Conclusions:The teaching method based on AR combined with TCD can improve nursing students' knowledge of cerebrovascular diseases, clinical nursing ability, and satisfaction with teaching.

Cancer stem cell(CSC)are the"seed"cells in the occurrence,development,metastasis and recurrence of colorectal cancer.Targeted killing of CSC provides a new target for anti-colorectal cancer therapy.Ferroptosis is an iron-dependent cell death mode due to the abnormal accumulation of intracellular i-ron ions,which results in the massive reactive oxygen species(ROS)and lipid peroxides,leading to cell death.Studies have shown that cancer stem cells are more enriched in iron ions than non-CSC,which provides a new perspective for targeting ferropto-sis in cancer stem cells against colorectal cancer.This article re-views the research progress of inducing CSC ferroptosis in the treatment of colorectal cancer,such as targeted regulation of SLC7A11 expression in CSC,chelating iron in CSC lysosomes,targeting CSC phenotypic plasticity,reversing CSC iron homeo-stasis,and targeting CSC lipid droplet metabolism induce CSC ferroptosis,which provides new ideas for anti-tumor therapy.

Peroxisome proliferator-activated receptor gamma(PPAR-γ)is a member of the ligand-activated nuclear tran-scription factor superfamily.Activated PPAR-γ is involved in the regulation of many central nervous system(CNS)events,and is involved in cholesterol metabolism by inducing or inhibi-ting a series of gene pathways,thereby inhibiting the deposition of β-amyloid protein(Aβ).It plays an important neuroprotec-tive role in Alzheimer's disease(AD),improves memory and cognition in AD,and is a potential target for AD.Drug develop-ment aimed at restoring cholesterol homeostasis may be a poten-tial strategy to counteract AD.By analyzing the distribution and structure of PPAR-γ,focusing on the biological correlation be-tween PPAR-γ-mediated cholesterol metabolism and AD,this paper describes the mechanism regulation of PPAR-γ on key proteins,genes and their corresponding molecules,providing a new reference for the treatment of AD.

Objective To explore and compare the clinical efficacy of orthopedic robot assisted femoral neck system(FNS)and traditional manual FNS in the treatment of femoral neck fractures in middle-aged and young people.Methods The clinical data of 62 consecutive patients with femoral neck fracture and age less than 65 years old admitted to the Intelligent Or-thopaedic Department of Beijing Jishuitan Hospital from June 2021 to June 2022 were retrospectively analyzed.According to whether orthopedic robot-assisted surgery the patients were divided into two groups:30 patients aged 34 to 56 years old were treated with orthopedic robot assisted FNS internal fixation after closed or limited open reduction(experimental group);32 pa-tients aged 33 to 54 years old underwent FNS internal fixation after closed or limited open reduction(control group).The age,gender,time from injury to admission,average hospital stay,surgical duration,intraoperative bleeding volume,and intraopera-tive fluoroscopy frequency of two groups of patients were analyzed and compared.The hip joint function in both groups of pa-tients was evaluated using the Harris hip joint scoring standard at 6 months after surgery.Results All 62 patients with femoral neck fractures successfully completed the surgery.There was no significant difference(P＞0.05)between the experimental group and the control group in terms of baseline data such as age,gender,time from injury to admission,time from admission to surgery and the intraoperative bleeding.The surgical duration of the experimental group was significantly shorter than that of the control group[42.1(28.5,50.7)min vs.53.4(36.9,62.5)min,Z=-2.338,P=0.019].The intraoperative X-ray fluoroscopy frequency of the experimental group was significantly lower than that of the control group[8.0(6.0,11.0)times vs.15.0(13.0,17.0)times,Z=-5.960,P＜0.001].In terms of postoperative hip joint function,there was no significant difference in Harris score between the two groups of patients at 6-month follow-up(P＞0.05).Conclusion Compared with manual operation of FNS,orthopedic robot assisted FNS in the treatment of femoral neck fractures can help shorten surgical time,reduce intraop-erative fluoroscopy frequency,and have similar therapeutic effects on long-term hip joint function recovery.

Objective To analyze the factors affecting the prognosis of patients with knee osteoarthritis,and to construct a nomogram prediction model in conjunction with multi-dimensional clinical indicators.Methods The clinical data of 234 pa-tients with knee osteoarthritis who were treated in our hospital from January 2015 to June 2021 were retrospectively analyzed,including 126 males and 108 females;age more than 60 years old for 135 cases,age less than 60 years old for 99 cases.Lysholm knee function score was used to evaluate the prognosis of the patients,and the patients were divided into good progno-sis group for 155 patients and poor prognosis group for 79 patients according to the prognosis.The clinical data of the subjects in the experimental cohort were analyzed by single factor and multiple factors.The patients were divided into experimental co-hort and verification cohort,the results of the multiple factor analysis were visualized to obtain a nomogram prediction model,the receiver operating characteristic curve(ROC),calibration curve and decision curve were used to evaluate the model's dis-crimination,accuracy and clinical benefit rate.Results The results of multivariate analysis showed that smoking,pre-treatment K-L grades of Ⅲto Ⅳ,and high levels of interleukin 6(IL-6)and matrix metallo proteinase-3(MMP-3)were risk factors for the prognosis of patients with knee osteoarthritis.ROC test results showed that the area under the curve of the nomogram model in the experimental cohort and validation cohort was 0.806[95％CI(0.742,0.866)]and 0.786[(95％CI(0.678,0.893)],re-spectively.The results of the calibration curve showed that the Brier values of the experimental cohort and verification cohort were 0.151 points and 0.134 points,respectively.When the threshold probability value in the decision curve was set to 31％,the clinical benefit rates of the experimental cohort and validation cohort were 51％and 56％,respectively.Conclusion The prognostic model of patients with knee osteoarthritis constructed based on multi-dimensional clinical data has both theoretical and practical significance,and can provide a reference for taking targeted measures to improve the prognosis of patients.

The effect of porcine SIRT5 on replication of foot and mouth disease virus type O(FMDV-O)and the underlying regulatory mechanism were investigated.Western blot and RT-qPCR analyses were employed to monitor expression of endoge-nous SIRT5 in PK-15 cells infected with FMDV-O.Three pairs of SIRT5-specific siRNAs were synthesized.Changes to SIRT5 and FMDV-O protein and transcript levels,in addition to virus copy numbers,were measured by western blot and RT-qPCR analyses.PK-15 cells were transfected with a eukaryotic SIRT5 expression plasmid.Western blot and RT-qPCR analyses were used to explore the impact of SIRT5 overexpression on FMDV-O replication.Meanwhile,RT-qPCR analysis was used to detect the effect of SIRT5 overexpression on the mRNA expression levels of type I interferon-stimulated genes induced by SeV and FMDV-O.The results showed that expression of SIRT5 was up-regulated in PK-15 cells infected with FMDV-O and siRNA interfered with SIRT5 to inhibit FMDV-O replication.SIRT5 overexpression promoted FMDV-O replication.SIRT5 over-expression decreased mRNA expression levels of interferon-stimulated genes induced by SeV and FMDV-O.These results suggest that FMDV-O infection stimulated expression of SIRT5 in PK-15 cells,while SIRT5 promoted FMDV-O rep-lication by inhibiting production of type I interferon-stimula-ted genes.These findings provide a reference to further ex-plore the mechanism underlying the ability of porcine SIRT5 to promote FMDV-O replication.

The epidemiology and etiology of three suspected cases of imported skin diphtheria infection in Fujian Province were investigated.Secretion samples of patients with skin damage were collected for isolation and culture of Corynebacterium diphtheriae.Biochemical identification and mass spectrum analysis of pure cultures of suspected C.diphtheriae were conduc-ted,the virulence-related genes,including diphtheria toxin reporter(dtxR),toxin A(toxA),and toxin B(toxB)were detec-ted,and multilocus sequence typing(MLST)was performed.All three cases had typical clinical manifestations of cutaneous diphtheria,and C.diphtheriae was isolated from the damaged skin.The virulence genes of two C.diphtheriae strains isolated from two cases were identified as dtxR(+),toxA(-),and toxB(-),and the MLST type was ST-703.The virulence genes of C.diphtheriae isolated from one case were identified as dtxR(+),toxA(+),toxB(+),and the MLST type was ST-248.There is an increased risk of diphtheria in Fujian Province.C.diphtheriae without diphtheria toxin genes can also cause skin diphtheria.

This study was aimed at understanding the trends in,and scope of,severe fever with thrombocytopenia syndrome(SFTS)in Nanjing,analyzing the spatial distribution pattern,detecting high incidence cluster areas and key popula-tions,and scientifically guiding prevention and control strategies and measures.We obtained data on SFTS cases from 2010 to 2023 in Nanjing from the China Disease Control and Prevention Information System,and described the time,popu-lation,and spatial distribution characteristics.We used joinpoint regression to calculate the annual percentage change(APC)in incidence,then used FleXScan spatial clustering scan analysis to explore spatial clustering areas at the street level.A total of 507 SFTS cases were reported from 2010 to 2023 in Nanjing.The APC was 31.8％(95％CI:22.5％-41.9％,P＜0.001),and the reported incidence in 2023 was 1.42/100 000(134 cases).The seasonal indices from May to August were 2.7,2.1,3.0,and 1.3,respectively,accounting for 76.1％of the total cases.The median age was 66(IQR:55,73)years,which gradually increased from 59 years in 2010-2011 to 68 in 2022-2023(P＜0.001);94.1％of cases were in individuals 45 years or older.Farmers,homemakers/unemployed individuals,and retirees accounted for 90.1％.The epidemic area increased from 11 streets in four districts in 2010-2011 to 58 streets in 11 dis-tricts in 2022-2023.Except for 2012-2013,global spatial autocorrelation analysis showed positive Moran's I values(0.224-0.526,P＜0.001),and FlexScan scan indicated that several streets in Lishui District and Jiangning District were the most likely clusters.Four streets in Pukou District were the secondary clusters from 2018 to 2023,and three streets in Luhe District in 2022-2023 were the secondary clusters(all P＜0.05).The reported incidence of SFTS in Nanjing showed a rapid upward trend,with spread of epidemic areas.The spatial distribution pattern was clustered.Strengthened training in diagnosis and treatment technology and detection ability of medical institutions,surveillance in high-incidence areas,tracing of case flow,and health education of tick and disease prevention knowledge are recommended.