AIM To evaluate the quality of Gegen Formula Granules.METHODS Linear calibration with two reference substances(LCTRS)was adopted in the predicting of retention time with puerarin and daidzein as internal standards.UPLC characteristic chromatograms were established.The contents of 3'-hydroxy puerarin,puerarin(internal standard),3'-methoxy puerarin,puerarin 6"-O-xyloside,puerarin apioside and daidzin were determined by quantitative determination analysis multi-components by a single marker(QAMS),after which their transfer rates were calculated.RESULTS Compared with relative retention time method,LCTRS demonstrated higher positional accuracy for characteristic peaks and wider application range for columns.There were 9 characteristic peaks in the characteristic chromatograms for 14 batches of formula granules and 15 batches of standard decoctions with the similarities of more than 0.95.The contents and transfer rates of various constituents in formula granules and standard decoctions were basically consistent.CONCLUSION The chemical constituents in formula granules and their standard decoctions of Puerariae lobatae Radix display good consistency,reliable preparation process is observable in the former.

Objective:To explore a method that can improve the detecting accuracy for faults of magnetic resonance(MR)through diagnostic technique based on firefly algorithm for fault of MR coil of magnetic resonance imaging(MRI)equipment with superconductivity,so as to enhance the performance and reliability of MRI equipment.Methods:A diagnosis technique for fault of MR coils in MRI equipment with superconductivity was proposed.Wavelet basis function was used to decompose initial vibration signals,and they were separated into resonance components with high-frequency and that with low-frequency,so as to enhance signal purity.The signal entropy value of deconvolution became the minimum value through iteratively adjusted the filter's coefficients,and identified the optimal system function of inverse filter,thus,to effectively recover the resonance characteristic of initially high and low frequency.A multi-objective function,which integrated entropy value of low-resonance component,smoothness and the differentiation of that with high-resonance components,was constructed.An improved firefly algorithm was introduced to combine linearly decreasing inertia weight factor,and simulate the process of swarm intelligence optimization,so as to realize global search and precise identification for faults'characteristics.Finally,the optimally diagnostic result was outputted.Results:The diagnostic technique based on firefly algorithm for fault of MR coil of MRI equipment with superconductivity can effectively decompose and enhance the original signal,and significantly suppress the interference of background noise.The algorithm can approach the true solution of the fault,which only need 298 iterations through global search for the combination of faults'features and diagnostic parameters.It can realize accurate identification for the faults of MR coil.Conclusion:The diagnostic technique,which based on firefly algorithm for fault of MR coil of MRI equipment with superconductivity,appears obvious advantages on diagnostic accuracy and convergence speed.It can provide a feasible approach for rapid diagnosis for fault of MRI equipment with superconductivity.

With the increasing demand for dynamic,real-time and rapid qualitative analysis of chemical composition in areas such as emergency response and space exploration,chip-scale mass spectrometers have attracted significant attention.These devices are expected to drive the integration of mass spectrometry with micro/nano-fabrication and intelligent sensing technologies,fostering profound innovation and breakthroughs in analytical chemistry.As an excellent mass analyzer,the ion trap exhibits numerous advantages,and its miniaturization creates favorable conditions for the high-density integration of miniature mass spectrometers.However,the reduction in ion storage capacity may compromise its sensitivity and dynamic range,rendering the study of ion unidirectional ejection in highly miniaturized ion traps of significant practical importance.In this work,a research was conducted on achieving efficient ion unidirectional ejection while maintaining high mass resolution in the extremely miniature hyperbolic linear ion trap(M-HLIT)with a field radius of 1 mm,and an electric field compensation method was proposed,which combined asymmetric electrode stretching and unbalanced RF voltage to achieve high-precision optimization of the electric field composition.Simulations showed that in an ideal structure,this method achieved 100％unidirectional ejection efficiency with the mass resolution of 518,significantly outperforming traditional asymmetric structure method(365)and unbalanced voltage method(321).Following the introduction of ion ejection slots,further optimization through bidirectional stretching and electrical parameters improved the resolution to 790 while maintaining a unidirectional ejection efficiency of 93％.This method eliminated the requirement for additional excitation voltage,offering an ideal solution for the miniature mass analyzer with high detection performance of chip-level mass spectrometers.

BACKGROUND:The pelvis has abundant trabecular bone content,but the ability of conventional sacroiliac percutaneous fixation to control trabecular bone is limited,leading to fixation failure.Therefore,the development of devices that can more effectively control trabecular bone tension is of significant importance.OBJECTIVE:The mechanical properties of a novel sacroiliac tension screw were investigated using biomechanical testing and numerical modeling analysis,along with an assessment of the reliability of the pull-out force numerical model.METHODS:A mechanical model was established based on the working principle of the novel sacroiliac tension screw.Numerical methods were employed to analyze its pull-out performance,validated through mechanical testing with polyurethane material to assess the reliability of the pull-out force numerical model.Using pelvic specimens,the mechanical effectiveness of the novel sacroiliac tension screw in repairing sacroiliac joint injuries was analyzed under normal standing posture,along with an evaluation of the load stiffness of different pelvic models in the standing position.RESULTS AND CONCLUSION:(1)The average error between the computed values of the numerical model and the measured values was 13.19％,indicating a certain level of validity for the numerical model.(2)The damage to the polyurethane material after the extraction of the screw was less pronounced in the novel screw group.(3)The average effective holding displacement for the novel screw was approximately(9.24±0.27)mm,significantly greater than the average displacement of(1.71±0.57)mm observed with the lag screws.However,the maximum resistance to pullout for the lag screws was significantly higher than that for the novel screws.(4)The novel screw effectively repaired sacroiliac joint injuries.(5)The stiffness after repair of sacroiliac joint injuries was equivalent when using a single novel screw compared to using two lag screws.(6)These results prove that the theoretical model for the maximum resistance to pullout of the screws established in this study has a certain level of validity and can guide the design of them with improved mechanical performance.The novel sacroiliac spiral blade screw can effectively hold trabecular bone and has practical clinical utility.

Objective To explore the value of nomogram model based on MR T1WI enhanced radiomics features and clinical fac-tors in predicting the prognosis of gliomas.Methods A retrospective selection was conducted on 135 patients with postoperative pathologically confirmed gliomas,who were categorized into poor prognosis group(n=59)and good prognosis group(n=76)according to survival condition at 20 months postoperatively.All patients were randomly divided into training group(n=94)and validation group(n=41)in a 7︰3 ratio.Radiomics features were extracted by 3D Slicer software,and the extracted radiomics features were downscaled by intraclass correlation coefficient(ICC),t-test,least absolute shrinkage and selection operator(LASSO)regression,and a total of 1 058 features were extracted for each patient,and 10 optimal radiomics features were obtained,to finally get the Radiomics score(Radscore).After combining clinical features and Radscore,a nomogram model was constructed.Results In the training group,Radscore was significantly higher in the poor prognosis group than that in the good prognosis group(t=8.773,P<0.05).The area under the curve(AUC)of receiver operating characteristic(ROC)curve of the training and validation groups of the radiomics model were 0.751[95%confidence interval(CI)0.654-0.849]and 0.606(95%CI 0.426-0.787),respectively.The AUC of the nomogram model were 0.899(95%CI 0.839-0.960)and 0.908(95%CI 0.823-0.994)in the training and validation groups,respectively,with much better predictive efficacy of the nomogram model.Conclusion A nomogram model based on MR T1WI enhanced radiomics features and clinical factors has good predictive efficacy in the prognosis of gliomas after surgery.

Aim To examine the pathogenesis of disul-fide death gene in vascular dementia(VD)by bioin-formatics analysis of disulfide death differentially ex-pressed genes(DEGs)combined with experimental verification.Methods The death DEGs of disulfide were screened and their correlation was analyzed.The VD patients data in the data set were analyzed by clus-tering and typing and gene set variation.The clustering risk of DEGs was tested with a nomogram model,and the optimal learning model was predicted.After the es-tablishment of VD rat model,water maze test,HE stai-ning and RT-qPCR detection were performed to verify the results of health information.Results Four DEGs including SLC7A11 were obtained,which had antago-nistic or synergistic interaction with each other.The genetic data could be divided into two subtypes with significant differences.After typing,VD disulfide DEGs were mainly concentrated in GnRH signaling pathways.The accuracy of the nomogram prediction model was high.Generalized linear was the best ma-chine learning model.Compared with the sham opera-tion group,the escape latency of rats in the model group was prolonged,the number of crossing platforms decreased,the relative mRNA expression levels of Slc3a2 and Slc7a11 decreased,and LRPPRC in-creased.Conclusions SLC7A11 and other disulfide death DEGs and its related GnRH signaling pathway may be an important part of the pathogenesis of VD di-sulfide death.SLC3A2,LRPPRC and SLC7A11 can be used as characteristic genes in the regulation of VD by disulfide death,which may affect VD progression through the regulation of disulfide death.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

The research investigated the characteristics of lymphocyte subsets in peripheral blood of children with mycoplasma pneumoniae pneumonia in different infection states. The retrospective cross-sectional study selected 194 children with pneumonia from October 2023 to January 2024 in Zhongnan Hospital of Wuhan University as the study objects, patients aged 7 months to 13 years old, including 91 female children and 103 male children. According to the types of pathogens, the children with pneumonia were divided into single MP infection group (80 cases), non-MP infection group (29 cases) and mixed pathogen infection group (85 cases). According to the mutation of MP23S rRNA gene, the MPP children were divided into drug-resistance group (112 cases) and non-drug-resistance group (53 cases). According to the results of bronchoscopy and imaging, the MPP children were divided into severe group (35 cases) and mild group (130 cases). Pathogen infection, the percentage and absolute count of lymphocyte subsets in peripheral blood, hypersensitive CRP, interferon-γ, tumor necrosis factor-α, interleukin-10, interleukin-4, interleukin-6 and interleukin-2 in each group were analyzed retrospectively. The levels of the test items in each group were compared. The value of peripheral blood lymphocyte subsets in the diagnosis of MPP in children was evaluated by ROC curve. The results showed that the co-infection rate of MPP children was 51.51% (85/165). Streptococcus pneumoniae was the most common co-infection (39/85, 45.88%), followed by Haemophilus influenzae (26/85, 30.89%). The mutation rate of MP resistance gene was 67.88% (112/165) in MPP children tested for tNGS in bronchoalveolar lavage fluid. The absolute counts (cells/μl) of CD3 +, CD3 +CD4 +, CD3 +CD8 +, CD3 -CD19 +, CD3 -CD16 +CD56 +and CD3 +CD16 +CD56 + in the simple MP group (1 164, 612, 415, 242, 168, 50) and the mixed pathogen group (1 285, 694, 457, 313, 176, 52) were significantly lower than those in the non-MP group (2 092, 1 037, 660, 541, 295, 86) ( P<0.05). There was no significant difference between drug-resistant group and non-drug-resistant group ( P>0.05). The CD3 +CD4 +% (34.91) and the absolute counts of CD3 -CD16 +CD56 + (148 cells/μl) in severe group was significantly lower than that in mild group (37.91, 187 cells/μl), and CD3 -CD19 +% (19.48) was significantly higher than that in mild group (16.33) ( P<0.05). The median values (cells/μl) of CD3 + (1 093, 925), CD3 +CD4 + (576, 543), CD3 +CD8 + (401, 356), CD3 -CD19 + (238, 234) and CD3 -CD16 +CD56 + (181, 153) in MPP children aged 4 to 8 years and 9 to 12 years were lower than the reference range in corresponding age. ROC curve analysis showed that the AUC of peripheral blood lymphocyte subsets for MPP diagnosis was 0.813, and the sensitivity was 79.3%, the specificity was 75%. In conclusion, the co-infection rate of MPP children was higher than single MP infection. The characteristics of peripheral blood lymphocyte subsets in children with pneumonia were that the absolute count test value of MPP children was significantly lower than that of non-MP infection, and there are differences between MPP children clinical types.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.