Automatic breast tumor detection in ABVS images based on convolutional neural network and superpixel patterns

Breast cancer is one of the most common female malignancies, as well as the second leading cause of mortality for women. Early detection and treatment can dramatically decrease the mortality rate. Recently, automated breast volume scanner (ABVS) has become one of the most frequently used diagnose methods for breast tumor screening because of its operator-independent and reproducible advantages. However, it is a challenging job to obtain the tumors’ accurate locations and shapes by reviewing hundreds of ABVS slices. In this paper, a novel computer-aided detection (CADe) system is developed to reduce clinicians’ reading time and improve the efficiency. The CADe system mainly contains three parts: tumor candidate acquisition, false-positive reduction and tumor segmentation. Firstly, a local phase-based approach is built to obtain breast tumor candidates for further recognition. Subsequently, a convolutional neural network (CNN) is applied to reduce false positives (FPs). The introduction of CNN can help to avoid complicated feature extraction as well as elevate the accuracy and efficiency. Finally, superpixel-based segmentation is used to outline the breast tumor. Here, superpixel-based local binary pattern (SLBP) is proposed to assist the segmentation, which improves the performance. The methods were evaluated on a clinical ABVS dataset whose abnormal cases were manually labeled by an experienced radiologist. The experiment results were mainly composed of two parts. At the FP reduction stage, the proposed CNN achieved 100% and 78.12% sensitivity with FPs/case of 2.16 and 0. At the segmentation stage, our SLBP obtained 82.34% true positive, 15.79% false positive and 83.59% Dice similarity. In summary, the proposed CADe system demonstrated promising potential to detect and outline breast tumors in ABVS images.

     

Mechanism of methanol decomposition on the Pd/WC(0001) surface unveiled by first-principles calculations

In this study, the decomposition of methanol into the CO and H species on the Pd/tungsten carbide (WC)(0001) surface is systematically investigated using periodic density functional theory (DFT) calculations. The possible reaction pathways and intermediates are determined. The results reveal that saturated molecules, i.e., methanol and formaldehyde, adsorb weakly on the Pd/ WC(0001) surface. Both CO and H prefer three-fold sites, with adsorption energies of −1.51 and −2.67 eV, respectively. On the other hand, CH₃O stably binds at three-fold and bridge sites, with an adsorption energy of −2.58 eV. However, most of the other intermediates tend to adsorb to the surface with the carbon and oxygen atoms in their sp³ and hydroxyl-like configurations, respectively. Hence, the C atom of CH₂OH preferentially attaches to the top sites, CHOH and CH₂O adsorb at the bridge sites, while COH and CHO occupy the three-fold sites. The DFT calculations indicate that the rupture of the initial C–H bond promotes the decomposition of CH₃OH and CH₂OH, whereas in the case of CHOH, O–H bond scission is favored over the C–H bond rupture. Thus, the most probable methanol decomposition pathway on the Pd/WC(0001) surface is CH₃OH → CH₂OH → trans-CHOH → CHO → CO. The present study demonstrates that the synergistic effect of WC (as carrier) and Pd (as catalyst) alters the CH₃OH decomposition pathway and reduces the noble metal utilization.     

分层注水井智能测试调配技术试验评价

注水井智能测试调配技术在不改变原注水管柱的基础上，利用井下可调式堵塞器，通过地面电脑控制，实现了测试调配同步进行。通过7口井的现场试验及分析评价，表明该工艺具有测调精度高、测调时间短、测试资料准确等特点。     

不同级配对微表处混和料性能的影响

微表处技术是一种性能优良的路面养护技术。首先检验了微表处用原材料的技术指标,在满足规范的要求下选择了三种不同级配,并对三种不同级配的微表处混和料的使用性能进行了比较。     

北部湾盆地福山凹陷CO2气成因探讨

北部湾盆地福山凹陷油气钻探中发现了高含CO₂气的天然气气藏。对CO₂气稳定碳同位素、伴生稀有气体氦和氩同位素进行了分析研究，结果显示，福山凹陷CO₂气稳定碳同位素偏重，(13C_CO2为-5.01～-10.08‰，绝大多数样品大于-7.0‰，为无机成因CO₂气特征；伴生稀有气体氦同位素³He/⁴He值为(4.74~5.03)×10^-6，R/Ra值为3.38～3.59；伴生稀有气体氩同位素⁴⁰Ar/³⁶Ar值为1881～2190，也显示出幔源或壳幔混合CO₂气的特征。综合判定认为，福山凹陷CO₂为壳幔混合成因。始新统流沙港组岩浆岩体分布特征与CO₂气藏分布范围基本一致，也表明幔源-岩浆可能是福山凹陷CO₂气的主要来源。与南海北部边缘盆地其它地区如珠江口盆地西部、琼东南盆地东部CO₂气成因一致，都为幔源-岩浆来源，或壳幔混合来源。     

橡胶促进剂DM的合成工艺

M氧化生成DM是自由基反应机理，结合微反应器机理，采用分子氧化的反应方式，选用绿色溶剂异丙醇、环境友好型氧化剂H202，一步法制取高品质DM。对反应时间、反应温度、氧化剂用量等因素进行考察，确定最佳工艺条件为：反应时间90min，反应温度55℃，氧化剂不过量，碱过量5％，M—Na溶液M含量30％，加料时N60 min，溶剂用量为M—Na溶液质量的1．5倍，所得产品质量合格，熔点可达180℃。     

A study of the numerical dispersion relation for the 2-D ADI-FDTD method

This letter presents a numerical dispersion relation for the two-dimensional (2-D) finite-difference time-domain method based on the alternating-direction implicit time-marching scheme (2-D ADI-FDTD). The proposed analytical relation for 2-D ADI-FDTD is compared with those relations in the previous works. Through numerical tests, the dispersion equation of this work was shown as correct one for 2-D ADI-FDTD.     

企业产品执行标准管理的信息化建设

标准化的目的是“获得最佳秩序和社会效益”，而最佳秩序是企业进行高效率生产和管理的前提条件。能够更及时准确的对企业的生产标准、技术标准、安全标准、管理标准进行监督和管理工作；有助于更好的督促企业在每个环节都建立起互相适应、配套的标准体系，使企业生产活动和经营管理活动井然有序，避免混乱；能够进一步加强对认证及认证咨询工作的质量，提高认证企业质量体系运行的有效性。为此我们提出了建设《哈尔滨市企业产品执行标准数据库管理系统》，对企业的产品执行标准进行登记注册管理，这将有助于组织、监督标准实施工作；有助于组织制订地方标准；推行采用国际标准和国外先进标准；有助于协调指导企业产品标准的制订并管理其备案；组织重要标准的宣传贯彻，监督检查重要标准的实施情况。     

The classification, fusion, and parallelization of array languageprimitives

We present a classification scheme for array language primitives that quantifies the variation in parallelism and data locality that results from the fusion of any two primitives. We also present an algorithm based on this scheme that efficiently determines when it is beneficial to fuse any two primitives. Experimental results show that five LINPACK routines report 50% performance improvement from the fusion of array operators     

混凝土小型砌块建筑裂缝宽度的标准设置研究

通过对混凝土小型空心砌块单片墙进行试验 ,了解不同构造措施墙体的初始裂缝在墙体上出现的部位、形态、发展规律以及墙体最终破坏形态 ,并通过试验明确墙体在不同受力状态下的裂缝形态 ,最后根据试验结果初步提出混凝土小型空心砌块建筑的裂缝宽度控制标准