Latent Co-interests' Relationship Prediction

With the development of the social media and Internet, discovering latent information from massive information is becoming particularly relevant to improving user experience. Research efforts based on preferences and relationships between users have attracted more and more attention. Predictive problems, such as inferring friend relationship and co-author relationship between users have been explored. However, many such methods are based on analyzing either node features or the network structures separately, few have tried to tackle both of them at the same time. In this paper, in order to discover latent co-interests’ relationship, we not only consider users’ attributes but network information as well. In addition, we propose an Interest-based Factor Graph Model (I-FGM) to incorporate these factors. Experiments on two data sets (bookmarking and music network) demonstrate that this predictive method can achieve better results than the other three methods (ANN, NB, and SVM).     

基于回归分析视频中太阳影子时空定位的研究

针对阳光下物体影子变化的过程,分析时序数据确立特定物体所在地。运用三角函数关系与太阳高度角决定公式确立影长决定公式,最小二乘法确立影长变化函数,日期时间已知时使用正午太阳高度角与逆推影长决定公式得特定物体所在地的经度和纬度,仅时间已知使引入半昼长计算公式与简便正午太阳高度角计算公式联立,得到经纬度推算出日期,最后处理视频得到影长变化数据再计算如前,通过视频中特定物体影长的变化确立视频拍摄日期与地点。     

从三峡工程建设谈我国当前 的企业创新工作

企业创新是建立创新型国家的根本要求。三峡工程建设者通过集成创新、引进消化吸收再创新和 原始创新,实现了在大坝混凝土快速施工技术、７０万kW水轮机水力设计安装制造、双线五级船闸高边坡稳定 支护等１００多项关键技术的重大突破。但当前我国的大多数企业存在着技术引进消化吸收率低、自主知识产 权少、研发投入不足等严重制约创新的突出问题。为实现到２０２０年建设创新型国家的目标,我国企业需要在 挖掘自主创新能力、加强创新队伍建设等六个方面去培育和提高企业的创新能力。     

高速铁路运行引发的低频振动的隔振分析

针对传统隔振方法对低频振动无法取得较好效果的问题,分析了波阻块( WIB)和蜂窝形波阻块( HWIB)对高速铁路引发的低频振动的隔振效果.首先建立了列车-路基的数值计算模型,将列车荷载简化为沿路基向前的移动荷载列,并采用基于拉格朗日算法的有限差分软件计算了埋设WIB和HWIB前后场地土的振动情况,最后与空沟的隔振效果进...     

Coral reef ecosystems in the South China Sea as a source of atmospheric CO<Subscript>2</Subscript> in summer

Field measurements of air-sea CO2 exchange in three coral reef areas of the South China Sea (i.e. the Yongshu Reef atoll of the Nansha Islands, southern South China Sea (SCS); Yongxing Island of Xisha Islands, north-central SCS; and Luhuitou Fringing Reef in Sanya of Hainan Island, northern SCS) during the summers of 2008 and 2009 revealed that both air and surface seawater partial pressures of CO2 (pCO2) showed regular diurnal cycles. Minimum values occurred in the evening and maximum values in the morning. Air pCO2 in each of the three study areas showed small diurnal variations, while large diurnal variations were ob-served in seawater pCO2. The diurnal variation amplitude of seawater pCO2 was ~70 μmol mol–1 at the Yongshu Reef lagoon, 420–619 μmol mol–1 on the Yongxing Island reef flat, and 264–579 μmol mol–1 on the reef flat of the Luhuitou Fringing Reef, and 324–492 μmol mol–1 in an adjacent area just outside of this fringing reef. With respect to spatial relations, there were large differences in air-sea CO2 flux across the South China Sea (e.g. ~0.4 mmol CO2 m–2 d–1 at Yongshu Reef, ~4.7 mmol CO2 m–2 d–1 at Yongxing Island, and ~9.8 mmol CO2 m–2 d–1 at Luhuitou Fringing Reef). However, these positive values suggest that coral reef ecosystems of the SCS may be a net source of CO2 to the atmosphere. Additional analyses indicated that diurnal variations of surface seawater pCO2 in the shallow water reef flat are controlled mainly by biological metabolic processes, while those of deeper water lagoons and outer reef areas are regulated by both biological metabolism and hydrodynamic factors. Unlike the open ocean, inorganic metabolism plays a significant role in influencing seawater pCO2 variations in coral reef ecosystems.     

浅议水利水电工程中混凝土的施工管理

文章通过对水利水电工程中混凝土施工存在的问题的分析,简述了如何加强计划、技术、质量、成本四方面的管理.     

浅谈建筑材料的检测及其影响因素

工程质量是永恒的主题。建材检测是建筑工程质量保证体系中的一个重要环节,是确保建筑工程质量的先决条件。文章在此主要分析常用建材质量检测方法、常用建材检测项目、建筑材料检测取样、建材检测的影响因素及数据处理,以供参考。     

Molecular organization of vomeronasal chemoreception

The vomeronasal organ (VNO) has a key role in mediating the social and defensive responses of many terrestrial vertebrates to species- and sex-specific chemosignals. More than 250 putative pheromone receptors have been identified in the mouse VNO, but the nature of the signals detected by individual VNO receptors has not yet been elucidated. To gain insight into the molecular logic of VNO detection leading to mating, aggression or defensive responses, we sought to uncover the response profiles of individual vomeronasal receptors to a wide range of animal cues. Here we describe the repertoire of behaviourally and physiologically relevant stimuli detected by a large number of individual vomeronasal receptors in mice, and define a global map of vomeronasal signal detection. We demonstrate that the two classes (V1R and V2R) of vomeronasal receptors use fundamentally different strategies to encode chemosensory information, and that distinct receptor subfamilies have evolved towards the specific recognition of certain animal groups or chemical structures. The association of large subsets of vomeronasal receptors with cognate, ethologically and physiologically relevant stimuli establishes the molecular foundation of vomeronasal information coding, and opens new avenues for further investigating the neural mechanisms underlying behaviour specificity.     

统一碳税和差异化碳税下的再制造绩效评价

分别在无碳税、统一碳税和差异化碳税三种政策下,构建了垄断制造商的利润最大化决策模型,研究实施不同碳税政策对制造商的再制造生产决策、碳排放和社会福利的影响.研究表明:相比于无碳税政策,政府征收碳税减少了制造商的利润和碳排放,在一定条件下有利于提高社会福利;实施碳税政策有利于鼓励更多类型的制造商参与再制造,并且差异化碳税比...     

Incorporating textual and management factors into financial distress prediction: A comparative study of machine learning methods

Financial distress prediction (FDP) has been widely considered as a promising approach to reducing financial losses. While financial information comprises the traditional factors involved in FDP, nonfinancial factors have also been examined in recent studies. In light of this, the purpose of this study is to explore the integrated factors and multiple models that can improve the predictive performance of FDP models. This study proposes an FDP framework to reveal the financial distress features of listed Chinese companies, incorporating financial, management, and textual factors, and evaluating the prediction performance of multiple models in different time spans. To develop this framework, this study employs the wrapper-based feature selection method to extract valuable features, and then constructs multiple single classifiers, ensemble classifiers, and deep learning models in order to predict financial distress. The experiment results indicate that management and textual factors can supplement traditional financial factors in FDP, especially textual ones. This study also discovers that integrated factors collected 4 years prior to the predicted benchmark year enable a more accurate prediction, and the ensemble classifiers and deep learning models developed can achieve satisfactory FDP performance. This study makes a novel contribution as it expands the predictive factors of financial distress and provides new findings that can have important implications for providing early warning signals of financial risk.