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排序方式: 共有791条查询结果,搜索用时 15 毫秒
1.
为探究水牛角的结构性能关系,基于上海同步辐射光源搭建了高分辨原位CT系统,对水牛角角鞘进行初始表征和准静态压缩下的实时表征,并通过Top-Hat方法提取了角鞘内孔洞三维形貌。结果显示,水牛角角鞘孔隙率在1%左右,椭圆柱状孔洞沿牛角生长方向排列成线,首尾相连却并未连通,均匀分布在波浪状片层之间。孔洞特征椭球的轴长分布满足对数正态分布,长轴和短轴的长度均值分别为7μm和3μm。原位CT结果表明,角鞘在屈服之后,初始孔洞首先扩张而形成微裂纹,随后微裂纹沿着片层界面由外向内发生桥接,片层发生局部屈曲和层间开裂,形成宏观裂纹,导致角鞘内裂纹密度急剧上升。片层之间不仅存在大量纤维黏接(提高了层间拉伸/剪切强度),而且孔洞互不连通,这些因素抑制了层间裂纹的快速传播,使得各处裂纹只能独立缓慢发展而无法贯通样品。波浪状片层使裂纹传播路径更加曲折,层间屈曲增加了片层摩擦耗能。这些机制使得牛角表现出加工硬化,也是牛角在纵向方向呈现优良韧性的主要原因。 相似文献
2.
卷积神经网络的语义分割模型未有效利用特征权重信息,导致在医学图像复杂场景中分割边界出现欠分割现象。针对该问题,基于融合自适应加权聚合策略提出一种改进的U-Net++网络,并将其应用于电子计算机断层扫描影像肺结节分割。该模型首先在卷积神经网络中提取出不同深度特征语义级别的信息,再结合权重聚合模块,自适应地学习各层特征的权重,然后将学习得到的权重加载到各个特征层上采样得到的分割图以得到最终的分割结果。在LIDC数据集和重庆大学附属肿瘤医院肺部电子计算机断层扫描数据集上进行了分割实验,所提方法的交叉比在两个数据集上分别可达到80.59%和87.40%、骰子系数分别可达到88.23%和90.83%。相比U-Net和U-Net++方法,该算法有效提升了图像分割性能。本文方法能在肿瘤微小细节上实现精确分割,较好地解决了肺结节向周围浸润性生长时出现欠分割的问题。 相似文献
3.
The Coronavirus disease 2019 (COVID-19) has become one of the threats to the world. Computed tomography (CT) is an informative tool for the diagnosis of COVID-19 patients. Many deep learning approaches on CT images have been proposed and brought promising performance. However, due to the high complexity and non-transparency of deep models, the explanation of the diagnosis process is challenging, making it hard to evaluate whether such approaches are reliable. In this paper, we propose a visual interpretation architecture for the explanation of the deep learning models and apply the architecture in COVID-19 diagnosis. Our architecture designs a comprehensive interpretation about the deep model from different perspectives, including the training trends, diagnostic performance, learned features, feature extractors, the hidden layers, the support regions for diagnostic decision, and etc. With the interpretation architecture, researchers can make a comparison and explanation about the classification performance, gain insight into what the deep model learned from images, and obtain the supports for diagnostic decisions. Our deep model achieves the diagnostic result of 94.75%, 93.22%, 96.69%, 97.27%, and 91.88% in the criteria of accuracy, sensitivity, specificity, positive predictive value, and negative predictive value, which are 8.30%, 4.32%, 13.33%, 10.25%, and 6.19% higher than that of the compared traditional methods. The visualized features in 2-D and 3-D spaces provide the reasons for the superiority of our deep model. Our interpretation architecture would allow researchers to understand more about how and why deep models work, and can be used as interpretation solutions for any deep learning models based on convolutional neural network. It can also help deep learning methods to take a step forward in the clinical COVID-19 diagnosis field. 相似文献
4.
In-situ TEM observation of the evolution of helium bubbles in Mo during He+ irradiation and post-irradiation annealing 下载免费PDF全文
Yi-Peng Li 《中国物理 B》2021,30(8):86109-086109
The evolution of helium bubbles in purity Mo was investigated by in-situ transmission electron microscopy (TEM) during 30 keV He+ irradiation (at 673 K and 1173 K) and post-irradiation annealing (after 30 keV He+ irradiation with the fluence of 5.74×1016 He+/cm2 at 673 K). Both He+ irradiation and subsequently annealing induced the initiation, aggregation, and growth of helium bubbles. Temperature had a significant effect on the initiation and evolution of helium bubbles. The higher the irradiation temperature was, the larger the bubble size at the same irradiation fluence would be. At 1173 K irradiation, helium bubbles nucleated and grew preferentially at grain boundaries and showed super large size, which would induce the formation of microcracks. At the same time, the geometry of helium bubbles changed from sphericity to polyhedron. The polyhedral bubbles preferred to grow in the shape bounded by {100} planes. After statistical analysis of the characteristic parameters of helium bubbles, the functions between the average size, number density of helium bubbles, swelling rate and irradiation damage were obtained. Meanwhile, an empirical formula for calculating the size of helium bubbles during the annealing was also provided. 相似文献
5.
Masao Kimura Yasuo Takeichi Toshiki Watanabe Yasuhiro Niwa Ken'ichi Kimijima 《Chemical record (New York, N.Y.)》2019,19(7):1462-1468
Macroscopic properties of carbon fiber‐reinforced plastic (CFRP) and environmental barrier coating (EBC), widely used for airplanes, can be deteriorated by local cracks or degradation (“trigger sites”). We have tried to find these trigger sites using x‐ray microscopy (XM), which can provide the 2D or 3D images of the chemical states and microstructures. Crack initiation in CFRP was observed in a non‐destructive manner in multi‐scales (nm‐mm). 3D chemical‐state mapping of Yb in EBC was achieved with high resolution (<50 nm). In addition to XM, in‐situ observations at high temperatures were conducted for obtaining complementary information. X‐ray absorption spectroscopy (XAS) and x‐ray diffraction (XRD) analysis were performed simultaneously up to 1773 K. Dynamic XAS with short time‐resolution (<10 ns) was conducted to investigate changes in the local structure of metal. These approaches can help us identify degradation trigger sites in the materials. 相似文献
6.
Bertold Rasche Minjun Yang Lothar Nikonow Joshaniel F. K. Cooper Claire A. Murray Sarah J. Day Karin Kleiner Simon J. Clarke Richard G. Compton 《Angewandte Chemie (International ed. in English)》2019,58(43):15401-15406
We report the precise postsynthetic control of the composition of β‐Fe1+xSe by electrochemistry with simultaneous tracking of the associated structural changes via in situ synchrotron X‐ray diffraction. We access the full phase width of 0.01<x<0.04 and identify the superconducting state below 8 K, which in contrast to earlier reports is independent of the composition. However, in a second set of in situ X‐ray diffraction experiments, we demonstrate that β‐Fe1+xSe forms a new phase in the presence of oxygen above a 100 °C which has the same anti‐PbO type structure but is not superconducting down to 1.8 K. The latter process can be reversed electrochemically to reinstate the superconducting state. These observations exploit the exquisite control afforded by electrochemistry in contrast with classical approaches of chemical synthesis. 相似文献
7.
窄内径多孔层毛细管开管柱(NPLOT柱)在生命科学领域,特别是单细胞分析领域具有较好的应用前景。本研究采用原位热引发聚合法来制备窄内径奎尼丁类手性固定相多孔层开管柱,在6 μ m i.d.的毛细管中制备有机聚合物多孔层,考察了不同热聚合时间(3、6和9 h)对NPLOT柱形貌的影响,热聚3 h和6 h制备的NPLOT柱形貌均一,多孔层厚度分别为103±51 nm和210±51 nm。将热聚合3 h制备的NPLOT柱用于纳流高效液相色谱分离N-衍生化氨基酸对映体,在2 min内即可实现基本分离,消耗的样品量仅为皮升级别。该研究将为单细胞分析提供研究手段。 相似文献
8.
磷酸锂原位包覆富锂锰基锂离子电池正极材料 总被引:1,自引:0,他引:1
本工作通过“碳酸盐共沉淀-沉淀转化-固相反应”方法,实现磷酸锂原位包覆和改性富锂锰基锂离子电池正极材料Li1.2Mn0.54Co0.13Ni0.13O2,研究了磷酸锂包覆层的形成过程及其对电化学性能的影响.结果显示,碳酸盐前驱体经沉淀转化反应原位形成磷酸镍包覆层,与锂源混合煅烧,最终转化为厚度小于30 nm的磷酸锂包覆层.该材料组装的半电池在125 mAh·g-1电流密度下循环175圈后容量达191.1 mAh·g-1,容量保持率为81.8%,平均每圈电压衰减仅为1.09 mV.磷酸锂包覆层缓解了材料表面与电解液之间的副反应,抑制了不可逆相变和过渡金属溶出,同时磷酸锂作为锂离子导体促进锂离子传输.本工作表明沉淀转化法原位包覆磷酸锂是提升富锂锰基正极材料性能的有效途径. 相似文献
9.
本文选取74例急性脑梗死(ACI)患者作为研究对象,入院时根据美国国立卫生院卒中量表(NIHSS)评分分为重度组(NIHSS评分>15分,n=21)、中度组(NIHSS评分5~15分,n=24)、轻度组(NIHSS评分<5分,n=29),均接受血清copeptin和IL-18水平检测及螺旋CT成像检查。结果发现,随ACI神经功能缺损加重,血清copeptin、白细胞介素18(IL-18)水平及峰值时间升高,CBV、CBF异常下降。经ROC曲线显示,血清IL-18联合CBF预测ACI患者预后不良的曲线下面积(AUC)最大。由上述结果可见螺旋CT成像参数、血清copeptin、IL-18水平与ACI患者神经功能存在一定相关性,三者联合为临床实现ACI患者个体化治疗和改善预后提供了可能。 相似文献
10.
选取我院60例腰椎管狭窄症(LSS)患者作为研究组,同期健康者60例作为对照组,探究CT检查参数对LSS的诊断价值及与疗效、腰椎功能改善的相关性。结果显示,研究组椎管面积、硬膜囊面积、椎管矢径、椎管横径、侧隐窝矢径、侧隐窝角小于对照组(P<0.05);CT各参数联合诊断LSS的AUC值大于任一参数单独诊断;疗效优良患者术后3个月椎管面积、硬膜囊面积、椎管矢径、侧隐窝矢径、侧隐窝角大于治疗前及非优良患者(P<0.05);经偏相关性分析发现,CT检查参数与疗效显著相关(P<0.05)。说明LSS疗效、腰椎功能改善情况与椎管面积、硬膜囊面积、椎管矢径等关系密切,CT检查对指导临床完善手术方案有重要意义。 相似文献