c. ma
-
Background
To analyze the diagnostic efficiency of DCE-MRI combined with DWI for breast cancer and the relationship between imaging characteristics and molecular biological markers.
Materials and MethodsA total of 120 patients with suspected breast lesions in the hospital were enrolled between January 2021 and October 2023, all underwent MRI examination to obtain DCE-MRI and DWI data. Taking results of pathological diagnosis as the golden standard, diagnostic efficiency of DCE-MRI combined with DWI for breast cancer was analyzed by Kappa consistency test. The expressions of ER, PR, HER-2 and Ki-67 in cancer tissues was detected by immunohistochemistry. The relationship between DCE-MRI, DWI characteristics and molecular biological markers was analyzed.
ResultsThe consistency Kappa value between MRI and pathology 0.817, and its sensitivity, specificity and accuracy were 96.05%, 84.09% and 91.67%, respectively. In patients with breast cancer, tumor diameter was significantly correlated with the expressions of ER, HER-2 and Ki-67 in cancer tissues, tumor morphology was significantly correlated with the expressions of ER, PR, HER-2 and Ki-67, tumor margin was significantly correlated with the expressions of ER and PR, TIC type was significantly correlated with Ki-67 expression, EPER was significantly correlated with HER-2 expression, TTP was significantly correlated with Ki-67 expression, ADC value was significantly correlated with Ki-67 expression, and the above differences were statistically significant (P<0.05).
ConclusionDCE-MRI combined with DWI has high diagnostic efficiency for breast cancer, and their imaging characteristics are related to molecular biological markers to some extent. Imaging examination can further reflect biological behaviors of breast cancer indirectly.
Keywords: Breast Cancer, Dynamic Contrast-Enhanced Magnetic Resonance Imaging, Diffusion-Weighted Imaging, Molecular Biology, Marker -
To improve the aerodynamic characteristics of compressor blades, a novel asymmetric leading edge (ASYLE) has been introduced and shown to offer superior performance. However, the aerodynamic robustness of such specially designed leading edge (LE) remains unclear due to the considerable uncertainty problems it presents. This paper investigates the robustness of ASYLE blade under both geometric and operational uncertainties. Profile deviations within ±0.05mm were introduced to investigate the influence of manufacturing errors. In addition, the perturbated inflow angles between ±0.375° were considered for uncertain inflow conditions. The statistic aerodynamic performance as well as operating dispersibilities at Ma=0.7 were obtained by the non-intrusive polynomial chaos (NIPC) method. The results show that considering uncertain profile errors, the operating range of ASYLE blade is 2.3° wider than original leading edge (ORILE) blade and the dispersion of total pressure loss can be reduced by 53.1% at β1=45.8°. Regarding uncertain inflow angle variations, the total pressure loss dispersion of ASYLE blade can be reduced by 93.8% at β1=50.8°. The ASYLE shows better overall aerodynamic robustness than ORILE upon considering uncertainty limits. The influence propagations in the flow fields of both uncertainties were further analysed, which revealed that the variations of separation bubble structure near LE are the direct cause to the aerodynamic uncertainties. The ASYLE design effectively controls the size and variation of LE separation bubble and thus demonstrates better aerodynamic robustness.Keywords: Asymmetric leading edge, Aerodynamic robustness, Profile error, Inflow angle perturbation, Uncertainty quantification
-
Recently, a new paradigm for uncertain information has been proposed that can effectively handle various types of uncertainty in decision-making problems. This approach utilizes a certainty degree, which is represented by a real number indicating the level of certainty associated with input values. However, just like intuitionistic fuzzy information can handle more problems that cannot be well modeled by fuzzy information, the certainty degree in basic uncertain information can also be intuitionistic fuzzy granule, which allows it to handle more uncertainty involved decision making situations. In this paper, we introduce the concept of intuitionistic fuzzy type basic uncertain information and explain its parameters. We also define a weighted arithmetic mean for aggregating this type of information and discuss different approaches for allocating induced weights based on trust preferred preference from four perspectives: (i) preference for higher certainty degrees; (ii) aversion to higher levels of uncertainty; (iii) preference for greater differences in certainty degrees; and (iv) preference for intuitionistic fuzzy certainties. Additionally, we explore trichotomic rules-based decision making using intuitionistic fuzzy type basic uncertain information. Finally, we present an objective-subjective evaluation numerical example utilizing these methods.
Keywords: Aggregation operator, basic uncertain information, information fusion, intuitionistic fuzzy type basic uncertain information, preference involved evaluation, rules-based decision making -
The biological surface structure comprising fish scales and a mucous membrane exhibits good turbulent drag reduction ability. Based on this structure, a bionic frictional drag reduction model composed of a grooved structure and mucous membrane was established herein, and its efficacy in reducing the resistance of a turbulent boundary layer was analyzed. Accordingly, the drag reduction performance of the bionic structure was investigated through large eddy simulations. The results revealed that the mucous membrane was evenly distributed on the groove wall through secretion, and effectively improved the drag reduction rate of the groove wall. The bionic grooves and mucous membrane structure successfully inhibited the turbulent kinetic energy, turbulence intensity, and Reynolds stress. The grooved structure improved the shape of the Λ vortex structure and the mucous membrane reduced the number of three-dimensional (3D) vortex structures. Furthermore, the streak structure near the bionic structure wall was reduced and its shape was regularized, which intuitively demonstrates the turbulence suppression ability of the proposed bionic structure. This paper presents the results of a hydrodynamic analysis of the frictional drag reduction characteristics of a bionic structure consisting of grooves and viscous membranes acting on the turbulent boundary layer of a wall.Keywords: Mucous membrane, Bionic drag reduction, Viscoelastic fluid, Turbulence statistics, Coherent structure
-
The mucous membrane on the fish surface has excellent drag reduction performance. The mucous membrane can be regarded as the viscoelastic fluid, and a bionic friction drag reduction model is proposed with the consideration of a Carreau viscoelastic model-based mucus secretion process. Then, the drag reduction effect of the mucous membrane on the classical wall turbulence boundary layer is investigated by large-eddy simulations. Results show that the bionic mucous membrane is conducive to reducing the turbulence, and can achieve a drag reduction rate of about 14%. This study provides a hydrodynamics understanding of the drag reduction characteristics of the bionic mucous membrane.
Keywords: Mucous membrane, Bionic drag reduction, Viscoelastic fluid, Turbulence statistics, Coherentstructure
- در این صفحه نام مورد نظر در اسامی نویسندگان مقالات جستجو میشود. ممکن است نتایج شامل مطالب نویسندگان هم نام و حتی در رشتههای مختلف باشد.
- همه مقالات ترجمه فارسی یا انگلیسی ندارند پس ممکن است مقالاتی باشند که نام نویسنده مورد نظر شما به صورت معادل فارسی یا انگلیسی آن درج شده باشد. در صفحه جستجوی پیشرفته میتوانید همزمان نام فارسی و انگلیسی نویسنده را درج نمایید.
- در صورتی که میخواهید جستجو را با شرایط متفاوت تکرار کنید به صفحه جستجوی پیشرفته مطالب نشریات مراجعه کنید.