Myeloid neoplasms (MN) tend to relapse and deteriorate. Exploring the genomic mutation landscape of MN using next-generation sequencing (NGS) is a great measure to clarify the mechanism of oncogenesis and progression of MN.This multicenter retrospective study investigated 303 patients with MN using NGS from 2019 to 2021. The characteristics of the mutation landscape in the MN subgroups and the clinical value of gene variants were analyzed.At least one mutation was detected in 88.11% of the patients (267/303). TET2 was the most common mutation in the cohort, followed by GATA2, ASXL1, FLT3, DNMT3A, and TP53. Among patients with myeloid leukemia (ML), multivariate analysis showed that patients aged ≥60 years had lower overall survival (OS, p = 0.004). Further analysis showed TET2, NPM1, SRSF2, and IDH1 gene mutations, and epigenetic genes (p < 0.050) presented significantly higher frequency in older patients. In patients with myelodysplastic syndrome (MDS) and myelodysplastic neoplasms (MPN), univariate analysis showed that BCORL1 had a significant impact on OS (p = 0.040); however, in multivariate analysis, there were no factors significantly associated with OS. Differential analysis of genetic mutations showed FLT3, TP53, MUC16, SRSF2, and KDM5A mutated more frequently (p < 0.050) in secondary acute myeloid leukemia (s-AML) than in MDS and MPN. TP53, U2AF1, SRSF2, and KDM5A were mutated more frequently (p < 0.050) in s-AML than in primary AML. KDM5A was observed to be restricted to patients with s-AML in this study, and only co-occurred with MUC16 and TP53 (2/2, 100%). Another mutation was MUC16, and its co-occurrence pattern differed between s-AML and AML. MUC16 mutations co-occurred with KDM5A and TP53 in 66.7% (2/3) of patients with s-AML and co-occurred with CEBPA in 100% (4/4) of patients with AML.Our results demonstrate different genomic mutation patterns in the MN subgroups and highlight the clinical value of genetic variants.
By using Solidworks, a three-dimensional solid model of the wind turbine gearbox is established. Use Spring element in ANSYS joins transmission system and case structure system, the whole gearbox coupling dynamic model is built up and the first 20-order bound mode of the gearbox is calculated. Through modal analysis and experimental test show that the structure of wind turbine gearbox is reasonable, and resonance wouldn’t occur during the operational process, ensure the reliability of the unit operation and that for the wind turbine gearbox structure design to provide the theoretical basis.
Acute myeloid leukemia (AML) can manifest as de novo AML (dn-AML) or secondary AML (s-AML), with s-AML being associated with inferior survival and distinct genomic characteristics. The underlying reasons for this disparity remain to be elucidated. In this multicenter study, next-generation sequencing (NGS) was employed to investigate the mutational landscape of AML in 721 patients from June 2020 to May 2023.Genetic mutations were observed in 93.34% of the individuals, with complex variations (more than three gene mutations) present in 63.10% of them. TET2, ASXL1, DNMT3A, TP53 and SRSF2 mutations showed a higher prevalence among older individuals, whereas WT1 and KIT mutations were more commonly observed in younger patients. BCOR, BCORL1, ZRSR2, ASXL1 and SRSF2 exhibited higher mutation frequencies in males. Additionally, ASXL1, NRAS, PPMID, SRSF2, TP53 and U2AF1 mutations were more common in patients with s-AML, which PPM1D was more frequently associated with therapy-related AML (t-AML). Advanced age and hyperleukocytosis independently served as adverse prognostic factors for both types of AML; however, s-AML patients demonstrated a greater number of monogenic adverse prognostic factors compared to dn-AML cases (ASXL1, PPM1D, TP53 and U2AF1 in s-AML vs. FLT3, TP53 and U2AF1 in dn-AML). Age and sex-related gene mutations suggest epigenetic changes may be key in AML pathogenesis. The worse prognosis of s-AML compared to dn-AML could be due to the older age of s-AML patients and more poor-prognosis gene mutations. These findings could improve AML diagnosis and treatment by identifying potential therapeutic targets and risk stratification biomarkers.
The contact rail of magnetic levitation line in China often occurs icing in winter, which will cause the line to be out of service. So far, there are few maglev lines in operation, leading to a lack of technology and experience in maglev contact rail de-icing. In the paper, combined the method of electro-impulse de-icing and the characteristics of maglev contact rail icing, two kinds of electro-impulse de-icing schemes for maglev contact rail were proposed. Based on the previous research, the technical parameters of the de-icing device were optimized. Then, electro-impulse de-icing test was carried out on the 3m long contact rail in the artificial climate chamber. The test results proved that the electromagnetic pulse technology could remove the ice of the contact rail effectively.
Pervasive micro-terrain is a significant contributor to wind disaster on transmission lines. This study explores the effect of saddle micro-terrain on the wind field of transmission lines and proposes relevant models and analysis method. By utilizing real case examples, we investigate the analysis methods for saddle micro-terrain and its impact on transmission line wind loads. Firstly, we extract the characteristic elements and parameters of saddle micro-terrain using DEM and establish representative cross-sections for classification. Subsequently, a multimodal computational model is developed, considering the geographical and meteorological features and the arc sag model of transmission lines under micro-terrain. The reliability of the simulation method is verified through numerical simulations and wind tunnel experiments. Furthermore, we derive the arc sag curve model of the transmission line and calculate the conductor wind loads under various wind speed conditions, revealing an exponential growth trend with increasing wind speed. This study provides a basis for differentiated identification and disaster prevention of micro-terrain in mountainous transmission lines, with significant implications for improving wind-resistant design criteria in mountainous areas.
Multilayer carbon fiber reinforced composites actually utilized to aerospace vehicles are always provided with complex geometry structure. The existing dynamic homogenization model can only calculate the electromagnetic properties of unidirectional carbon fiber laminate composites. In order to obtain electromagnetic parameters of composites with different carbon fiber orientations, it is necessary to have a further study on the new model of electromagnetic properties of composites. Our work mainly researches the support vector machine (SVM) model to calculate the electromagnetic properties of multilayer carbon fiber reinforced composites and its test verification. First, emphasis is laid on the study of the influence of fiber orientation on electromagnetic properties of anisotropic composites. The model database is obtained by transmission-line methods. Then, the SVM model is proposed to establish a high precision model of electromagnetic properties of composite materials with multilayer carbon fiber structure. Finally, the test on multilayer carbon fiber reinforced composite was implemented to verify the accuracy of the proposed model. Measure the time-domain voltage signal with and without composites, intercept the effective signal after filtering, and use Fourier transform to obtain the amplitude ratio and phase difference information at the corresponding frequency point. The electromagnetic properties of the composites have been inverted according to the free space transmission model. Utilize the data to verify the model accuracy of the composite material and optimize the model until it meets the requirements. A calculation model of composite electromagnetic characteristics based on SVM is established, and it has the high-precision prediction ability of electromagnetic parameters of multilayer carbon fiber reinforced composites. The extracted dielectric properties can be applied to the aerospace vehicle electromagnetic modeling of numerical simulation, which can be utilized to analyze shielding and scattering.
In order to obtain the spiral bevel gear wheel natural frequencies and mode shapes in the unconstrained state for the purpose of dynamic characteristics study, the spiral bevel gear wheel three-dimensional solid model of a mini-bus main reducer is established in this paper. The finite element model of spiral bevel gear wheel which consists of 32351 nodes, 18436 solid187 tetrahedrons finite element method elements is established by using free grid meshing method in this paper. Extract the first 6 orders modals parameters such as natural frequencies and main vibration mode shapes by using the Lanczos method. The new 1 st to 4 th orders modals are formed by comparing and merging 2 orders repeated modals. In order to verify the effectiveness of the finite element analysis results, the experiment modal test based on the impulse force hammer percussion transient single-point excitation and multi-point response analysis method has been done. The maximum difference value of natural frequency between experimental modal test result and finite element modal analysis results is 29.86 Hz, the maximum error rate is 0.41%, which confirmed the result of finite element method is effective and reliable. The conclusions reflect the vibration response characteristics of spiral bevel gear wheel, and provide theoretical basis for dynamic response, structure design and optimization of spiral bevel gear wheel.
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