新疆东天山灵北地区康南岩体岩石学#br# 特征及其构造意义

研究区位于新疆东天山觉罗塔格造山带吐哈盆地以南百灵山以北，多年来对于研究区古生代构造背景的认识受前人热议，存在争议。通过对研究区新发现基性岩体的岩石、地球化学特征与构造背景进行探讨，以期为大区域构造背景的研究提供一定的数据支持。主量元素研究表明，康南岩体具有高Mg、Fe，低Al的特征，说明研究区基性侵入岩为碱性岩石系列。微量元素测试结果表明具有同源演化的特征，Rb、Hf元素亏损较为严重。K、Ba、P、Sm富集明显，Tb、Nb、Ti表现为弱异常，在稀土元素球粒陨石标准化配分模式图中Eu的负异常不明显，表现为弱的正异常， Yb+Nb-Rb构造环境判别图解中样品落在“后碰撞”环境内，以上特征说明具有岛弧花岗岩的基本特征。岩性为深灰绿色弱蚀变细粒橄榄辉绿岩。     

番茄安全高效设施栽培技术

番茄是人们喜爱的一种蔬菜,品质的优劣决定于安全高效的栽培技术,文章从番茄对环境条件的要求、栽培类型、栽培季节、栽培技术的要求阐述番茄安全高效设施栽培技术。     

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.     

用动态规划神经网络模型研究多水库系统的水量分配(下)

为了分析多水库系统中两座水库之间灌溉用水的分配问题，建立了基到动态规划的神经网络模型。为了研究从一座上游水库取水在下游两座之库之间进行水量分配的问题，提出了3个状态变量和4个决策变量的改进的动态规划算法。采用神经网络模型，用3个状态变量动态规划算法得出调度原则，就所研究的多水库系统实例来说，新的动态规划神经网络模型的性能很好，将该模型的性能与临时凑合的标准调度原则和以前推荐使用的约束动态规划神经网络模型进行了比较。     

伊朗卡尔黑水利枢纽

伊朗卡尔黑多目标水利枢纽，首台机组于2002年9月投运。介绍了工程历史，并从导流系统遂洪道、渗漏控制和惟幕灌浆等方面介绍了工程的技术要求。     

河床变形对水电站动力设备工作条件的影响

水电站运行过程中河床变形会使河底高程逐渐降低。从而导致下游流量特性曲线下降以及水电站水头增大。水头增大使水电站气蚀特性发生变化，导致动力设备的正常工作条件受到破坏。并对其运行安全性和效率造成不利影响。以卡马河的沃特金水电站为例，阐述了河床变形对水电站动力设备工作条件的影响。     

关于21世纪的综合水管理(下)

必须利用水库多蓄水，另外再通过回灌把水蓄在含水层中供缺水时使用。城市废水也是一种重要水资源，但．必须加强规划和管理以防止造成对健康的负面影响，用于灌溉时则应防止污染地下水。长期以来地下水不仅受到非点源污染，还因对其开采超过回灌导致含水层减少。在灌区，地下水位必须通过排水或抽水系统加以控制，以防止水涝和土壤盐碱化。含盐的水排出后必须妥善处置。缺水的国家可以通过从其他国家进口大部分粮食和电力来节水，这往往比开发本国的水资源划算。本地水源就可用于更具社会、生态或经济回报的用途．或以备不时之需。     

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℃。     

辊筒非圆柱形对辊破碎机的破碎原理

传统对辊破碎机最普遍的两个特点是破碎比小和磨损率高，因而，使其不能经常在选矿流程中得到应用，它的很多优点却一直被人们所忽视。本文介绍一种被称为辊筒非圆柱形辊式破碎机（缩写为NCRC破碎机），其目的是克服传统对辊破碎机的以上缺点。NCRC破碎机具有两个交替排列的平面－凸圆面辊筒和平面－凹圆面辊筒组成，这两个奇特的辊筒外形增大了矿粒与辊筒之间的啮角，使得NCRC破碎机的破碎比比传统对辊机大，NCRC破碎机样机试验表明，即使对很硬的矿石也能获得破碎比大于10：1的结果。此外，幅地NCRC破碎机的破碎过程为对辊破碎机和颚式破碎机两种的联合作用，因而这种辊面外形变化的新式辊筒的磨损率得到降低。