非牛顿流体在气液搅拌槽内强制流动传热特征研究

为了确定非牛顿流体气流搅拌流动传热特征，对气体有效分散区域（载点）提出了无因次准数关联式，并就两种不同叶轮搅拌的通气管外传热系数作了比较。     

Defensive allomones in three species ofHypselodoris (gastropoda: Nudibranchia) from the Cantabrian sea

ThreeHypselodoris species,H. villafranca, H. cantabrica, and H. tricolor, have been studied in order to further investigate the defensive strategies of Chromodorididae mollusks from Iberian coasts. All animals possess large amounts of furanosesquiterpenoids, probably derived from their diet of sponges. The products are transferred and stored in specific sites of the mantle (mantle dermal formations, MDFs) to be used as chemical deterrents against predators. Chemical analysis of CantabrianHypselodoris species has led to the characterization of eight sesquiterpenoids. Among these, six have been found previously in both sponges and nudibranchs, while two are new natural products.Hypselodoris species cooccurring in the same area contained comparable mixtures of sesquiterpenoids. However, two populations ofH. cantabrica from different sites of the Cantabrian sea showed different metabolic patterns. All sesquiterpenoids induce feeding deterrence inCarassius auratus and two are also toxic toGambusia affinis.     

一种基于高阶统计信息的信噪比估计改进算法

针对多进制正交幅度调制(Multiple quadrature amplitude modulation,MQAM)信号在低信噪比条件下估计精度不高的问题,提出了一种基于综合利用高阶统计信息的信噪比估计改进算法。根据所选高阶统计量最高阶数的不同,建立了3种信噪比与多种高阶统计量运算式之间的线性关系,利用全回归线性分析方法将3种线性关系转化为3种全回归模型,并求解模型系数。该算法充分利用了多种高阶统计量的有用信息,提高了信噪比估计精度。MQAM的仿真结果表明:在低信噪比条件下,该算法减小了信噪比估计误差,其估计性能明显优于传统的其他算法,且3种模型估计性能依次增加,可依据不同的信噪比要求对3种模型进行选取。     

基于呼叫中心的客户关系管理系统服务流程优化研究

针对钢铁企业物流公司客户关系管理现状,及其客户服务请求处理流程中的不足,提出了基于呼叫中心的钢铁企业最优化客服请求处理流程及其技术实现,给出了平台功能设计,探讨了平台实现的关键技术。该系统充分满足客户满意度以及服务请求处理的及时性,快速性,确切性,可操作性等方面要求。     

预制桥面板 ＵＨＰＣ湿接缝的界面受力性能研究

为确定合理的界面间约束与接触关系,采用ＡＢＡＱＵＳ中3种不同的约束与接触关系基于现有试验试件进行模拟,将数值分析结果与试验结果与进行对比分析。研究表明:采用内聚力模型的有限元模型破坏形态与试验结果较为一致,绑定约束次之,而采用接触摩擦模型的有限元模拟结果与试验差别最大;以试验开裂荷载与极限荷载为分析对象,绑定约束与内聚力模型的数值分析结果与试验吻合较好,而接触摩擦模型的数值分析结果与试验差异较大;与绑定约束模型相比,内聚力模型能够较好地模拟试件界面的损伤。因此,当采用ＡＢＡＱＵＳ进行预制桥面板与ＵＨＰＣ湿接缝的界面受力的有限元分析时,宜采用内聚力模型或绑定约束模型,不宜采用接触摩擦模型。     

人水关系学的学科体系及发展布局

人水关系是人类与自然界关系中最重要的关系之一,也是人类一出现就始终存在且复杂程度不断加深的一类关系。在对人水关系分析总结的基础上,提出了人水关系学的概念和思考,论述了人水关系学的提出背景和重要意义;构建了人水关系学的学科体系框架,阐述了人水关系学的主要内容,包括人水关系学的理论基础、方法论、应用实践;在分析学科发展趋势的基础上,对人水关系学未来全面、系统的研究进行了展望,并从科学研究、学科建设、学术交流与国际合作3个方面对人水关系学的发展进行战略布局。为进一步研究人水关系、丰富人水关系学内容、发展人水关系学学科体系及制定学科发展战略提供参考。     

TopoAct: Visually Exploring the Shape of Activations in Deep Learning

Deep neural networks such as GoogLeNet, ResNet, and BERT have achieved impressive performance in tasks such as image and text classification. To understand how such performance is achieved, we probe a trained deep neural network by studying neuron activations, i.e.combinations of neuron firings, at various layers of the network in response to a particular input. With a large number of inputs, we aim to obtain a global view of what neurons detect by studying their activations. In particular, we develop visualizations that show the shape of the activation space, the organizational principle behind neuron activations, and the relationships of these activations within a layer. Applying tools from topological data analysis, we present TopoAct , a visual exploration system to study topological summaries of activation vectors. We present exploration scenarios using TopoAct that provide valuable insights into learned representations of neural networks. We expect TopoAct to give a topological perspective that enriches the current toolbox of neural network analysis, and to provide a basis for network architecture diagnosis and data anomaly detection.     

Exploring the methods on improving CH4 delivery performance to surpass the Advanced Research Project Ageney-Energy target

CH_4 storage associated with adsorbed natural gas(ANG) technology is an issue attracting great concern.Following the Advanced Research Project Agency-Energy(ARPA-E) targeted deliverable capacity of 315 cm~3·cm~(-3)(STP), hundreds of thousands of materials have been experimentally or theoretically evaluated,while the best results still show a 35% gap from the target. Moreover, recent theoretical research reveals that the target is beyond the possibility that real materials can be designed. To get rid of the awkward situation, we make attempts on investigating the CH_4 delivery performance under other operation conditions. Methods of raising the discharge temperature(to infinite high) or elevating the storage pressure(to 25 MPa) have been proved to show limited effectiveness. In this work, it is found that the ARPA-E target can be achieved by using a decreasing storage temperature strategy. By taking 280 Co RE(computation-ready, experimental) COFs(covalent organic frameworks) as ANG materials, when reduce the storage temperature to 190.6 K, the highest deliverable capacity can reach 392 cm~3·cm~(-3)(STP), and16.1% Co RE COFs can surpass the target. The target is also achievable when storage at 220 K. Structure performance relationships study shows strong correlation between deliverable capacity and void fraction. Hence, 120 hypothetical COFs are generated to ascertain the optimum void fraction. In addition,the performance of 2 D-COFs can be greatly enhanced by increasing the interlayer spacings, e.g. CH_4 deliverable capacity(storage at 190.6 K) of ATFG-COF can be improved from 239 to 411 cm~3·cm~(-3)(STP) when interlayer spacing is enlarged to 1.65 nm.     

Design and Synthesis of a Novel PLK1 Inhibitor Scaffold Using a Hybridized 3D-QSAR Model

Polo-like kinase 1 (PLK1) plays an important role in cell cycle progression and proliferation in cancer cells. PLK1 also contributes to anticancer drug resistance and is a valuable target in anticancer therapeutics. To identify additional effective PLK1 inhibitors, we performed QSAR studies of two series of known PLK1 inhibitors and proposed a new structure based on a hybridized 3D-QSAR model. Given the hybridized 3D-QSAR models, we designed and synthesized 4-benzyloxy-1-(2-arylaminopyridin-4-yl)-1H-pyrazole-3-carboxamides, and we inspected its inhibitory activities to identify novel PLK1 inhibitors with decent potency and selectivity.