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فهرست مطالب نویسنده:

j. ma

  • Z. Jiang, D. Xu, S. Wang, X. Chen, S. Gao, Y. Zhang*, J. Ma
    Background

    To investigate the application value of Breast Imaging Reporting and Data System (BI-RADS) classification grading diagnosis based on breast ultrasound, molybdenum target radiography mammography and MRI imaging for predicting atypicalbreast ductal hyperplasia (ADH) and breast cancer (BC).

    Materials and Methods

    Retrospective analysis of patients who visited the Department of Mammary Gynecology and Obstetrics of Nanjing Medical University for breast lumps between January 2015 and July 2021, based on the pathological findings of breast lumps, included 150 patients with benign breast usual ductal hyperplasia (UDH), 100 patients with atypical breast hyperplasia ADH, and 100 patients with breast cancer BC. The masses were evaluated and graded according to the fifth edition of the BI-RADS criteria, and the receiver operating characteristic (ROC) curves) were drawn based on ultrasound, molybdenum target radiography mammography, and MRI for BI-RADS grading to identify atypical hyperplasia (ADH) and breast cancer and the feasibility of the three imaging methods for predicting breast atypical hyperplasia  ADH and breast cancer BC was compared.

    Results

    The best cut-off value for breast ultrasound prediction of breast atypical hyperplasia ADH and breast cancer BC was BI-RADS grade 3 and the best cut-off value for molybdenum target radiography mammography and MRI prediction of breast atypical hyperplasia ADH and breast cancer BC was BI-RADS grade 4A, with corresponding area under the curve (AUC) of 0.691, 0.757, 0.866; the Jorden index was 0.363, 0.448, 0.662; the sensitivity was 56.30%, 48.20%, 71.20%; specificity 80.00%, 96.60%, 95.00%; positive predictive value 78.87%, 97.22%, 98.11%; negative predictive value 57.97%, 53.43%, 47.50%, respectively.

    Conclusion

    BI-RADs classification grading diagnosis based on imaging examination has a high value in predicting breast dysplasia  ADH and breast cancer BC. BI-RADs classification grading can be given priority in clinical prediction of breast dysplasia ADH and breast cancer BC to reduce unnecessary invasive examination.

    Keywords: Comprehensive Nursing, Lung Cancer, Radiotherapy, Respiratory Function Test, Quality Of Life, Self-Care Ability
  • T. Huang, J. Ma, D. Yi, X. Ren, R. Ke, C. Qu *, Q. Du, Q. Huang, W. Zeng
    In order to determine the most suitable turbulence model for studying the aerodynamic performance of bus, the effects of different turbulence models on the aerodynamic characteristics of bus were investigated. A comparative analysis was conducted on five turbulence models (IDDES, DDES, DES, LES, URANS). The pressure distribution on the cross section at x=0 and y=0 is also analyzed for each model. The results reveal that IDDES accurately captures the negative pressure at the rear of the bus and predicts the pressure gradients more effectively than other models. IDDES also captures more vortices at the head of the bus and predicts the wake flow more widely than other models. DDES has obvious shedding phenomenon in the wake flow, while IDDES provides a relatively smooth airflow trajectory, but its prediction of airflow trajectory at a distance is less clear. Through quantitative and qualitative analyses of the aerodynamic characteristics of bus under different turbulence models, it can be concluded that IDDES is the most suitable turbulence model to study the aerodynamic characteristics of bus.
    Keywords: Aerodynamics characteristic, Flow field, Turbulence, Vortex, Wake
  • J. Ma, T. Gan, A. Song*
    Background

    Breast cancer is a common cancer that affects women. The Luminal A subtype of breast cancer is defined by low Ki67 expression (<14%), Her-2 negative, and positive ER and PR. Luminal A exhibits a favorable prognosis compared to other breast cancer types.

    Materials and Methods

    Gene expression profiling was employed in this investigation to discover genes linked to clinical efficacy and recurrence in Luminal A breast cancer tissue samples. The study's overarching goal was to discover new therapeutic targets by deciphering the molecular mechanisms behind Luminal A breast cancer.

    Results

    Our analysis revealed specific genes linked to Luminal A breast cancer, and their expression levels were correlated with clinical outcomes. High expression of certain genes was associated with improved clinical efficacy and a reduced recurrence rate.

    Conclusion

    The study provides valuable insights into the molecular mechanisms of Luminal A breast cancer, offering potential targets for personalized therapeutic approaches.

    Keywords: Breast Neoplasms, Luminal A Subtype, Gene Expression, Clinical Efficacy, Recurrence
  • N. Song, M. Zhu *, G. Zhou, L. Guo, Y. Mu, J. Gao, J. Ma, K. Zhang
    A novel Halbach permanent magnet array with rectangle section and trapezoid section is proposed and optimized in this paper. The analytical model of the premanent magnet segment is established based on the surface current method, which is numerically efficient and can be utilized to evaluate the magnetic field closely with the premanent magnet segment’s configurations. The analytical model of the Halbach array is acquired based on the superposition principle and coordinate transformation. The fundamental component of the magnetic flux density and the sinusoidal distortion rate are chosen as the optimization object. And the optimization is executed on the Halbach array with one specific set of dimensions by the genetic algorithm in global scale. The effectiveness of the optimization is validated by the finite element analysis. Compared to the traditional Halbach array with rectangle section, the magnetic field created by the optimized proposed Halbach array in this paper owns better performance.
    Keywords: Magnetic, Halbach, surface current method, Genetic Algorithm
  • Z. Zhang, H. Wang, J. Ma*, X. Ling

    In textile printing and dyeing industry, a novel type of separator called high gravity rotary gas-liquid separator (HGRGS) is designed, which includes a rotary drum with multi-layer fins and an impeller. First, the structure and separation principle of HGRGS are introduced in this paper. Then, the flow field and separation efficiency are studied by CFD techniques. To ensure the accuracy of the numerical simulation, the results are verified by the available experimental data. Compared with the typical cyclone, the maximum pressure drop reduction rate in HGRGS is 64.7% when the gas enters at 10 m/s. Besides, for droplets less than 5 μm, the separation performance in HGRGS is more efficient and it will be greatly improved by 30% for 1 μm droplets. The numerical results also show that the tangential velocity inside the rotary drum is linear with the radius and the higher the rotating speed, the greater the tangential velocity. Moreover, the maximum tangential velocity between the forced and quasi-free vortex has moved to the vicinity of the outer wall, which is beneficial for droplets to move outward. Additionally, the droplets in HGRGS can be captured with enough residence time owing to the lower axial velocity than that in a typical cyclone.

    Keywords: High gravity, Gas-liquid separator, Rotary drum, Pressure drop, Separation efficiency, Simulation
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