Data-based mechanistic modelling and forecasting globally averaged surface temperature

The main objective of this paper it to model the dynamic relationship between global averaged measures of Total Radiative Forcing (RTF) and surface temperature, measured by the Global Temperature Anomaly (GTA), and then use this model to forecast the GTA. The analysis utilizes the Data-Based Mechanistic (DBM) approach to the modelling and forecasting where, in this application, the unobserved component model includes a novel hybrid Box-Jenkins stochastic model in which the relationship between RTF and GTA is based on a continuous time transfer function (differential equation) model. This model then provides the basis for short term, inter-annual to decadal, forecasting of the GTA, using a transfer function form of the Kalman Filter, which produces a good prediction of the ‘pause’ or ‘levelling’ in the temperature rise over the period 2000 to 2011. This derives in part from the effects of a quasi-periodic component that is modelled and forecast by a Dynamic Harmonic Regression (DHR) relationship and is shown to be correlated with the Atlantic Multidecadal Oscillation (AMO) index.     

Commemorating the 50‐Year Anniversary of Ball and Brown (1968): The Evolution of Capital Market Research over the Past 50 Years

We commemorate the 50th anniversary of Ball and Brown [1968] by chronicling its impact on capital market research in accounting. We trace the evolution of various research paths that post–Ball and Brown [1968] researchers took as they sought to build on the foundation laid by Ball and Brown [1968] to create a body of research on the usefulness, timeliness, and other properties of accounting numbers. We discuss how those paths often link back to the groundwork laid and questions originally posed in Ball and Brown [1968].     

Crowdsourcing-based semantic relation recognition for natural language questions over RDF data

ABSTRACT

Natural language query systems over RDF data need to rely on the semantic relations in query. First, we propose the new crowdsourcing model that used to produce semantic relations dataset. The model not only inherits completeness of the iterative model and accuracy of the parallel model, but also saves human resources. Second, we mine the rules of semantic relation recognition from the correlations between dependency structures and semantic relations. Third, we propose an algorithm of semantic relation recognition for natural language query over RDF data, and experiments demonstrate that it can recognize more semantic relations than existing methods.     

专利技术转让的产权关系研究

随着科学技术的不断创新和提高,专利技术的交易越来越频繁,其交易所占贸易的比重也越来越大。文章指出,在专利技术交易发生前后对被交易技术进行必要的产权研究,理顺交易双方的产权关系,明确交易双方的权利和义务,对于交易双方避免交易错位和发生法律纠纷有着重要的指导意义。     

辐射迁移方程--一个K-辛空间上的正则方程

说明了均匀、轴对称、无源介质是一个K-辛空间上的Hamilton系统，Hamilton函数是系统的守恒量；数值计算辐射强度角分布的合理途径是将辐射迁移方程离散成以离散Hamilton函数为守恒量的有限维K-辛空间上的正则方程，并采用保离散Hamilton函数守恒的K-辛算法数值求解．     

一类有向网络的容量扩张问题研究

将网络容量定义为最大流的流量。针对网络容量的三种扩张方式：点扩张、弧扩张、点扩张和弧扩张相结合,分别建立数学模型,提供算法;在分开讨论的基础上,还提出了统一的容量扩张模型;最后提供了一个具体算例。     

人的现代性与人的心理健康特征之关系探讨

本文在国内外关于人的现代化研究的大背景下,通过比较“人的现代性”和“人的心理健康”两者概念、内涵与外延、有关标准的异同,认为:(1)人的现代性应具备一定的心理健康要求,提高人的心理健康水平是实现人的现代性的保证。(2)现代人的心理健康问题应置于人的现代化的语境下来思考和发掘。     

供应链管理的履约策略研究

供应链企业间的合作能力、高价值顾客等是影响供应链管理的主要因素。通过对合作企业特点及运行环境、顾客关系资产管理进行比较分析，提出了限制例外、建立退货等履约策略。