基于最大熵原理的政府投资工程委托代建风险研究

本文根据政府投资工程的风险特点,引入了熵的概念,建立了最大熵风险分析模型,利用熵权的特性求出各指标的客观权重,同时利用专家打分法得出各指标的主观权重,将两者结合作为各指标的综合权重,为进一步对风险指标的深入分析及风险决策研究奠定了良好的基础。最后,用实例验证了该模型的可行性和实用性。     

茶叶仓储环境监控系统的设计

针对茶叶储存过程中变质以及人工监管不到位问题,设计了茶叶仓储环境监控系统,实现了对茶叶仓储环境的实时监控、报警提醒以及数据保存的功能,达到节省人力资源、减少变质损失的目的。     

Hybridizing local and generic information to model cropping system spatial distribution in an agricultural landscape

For quantitative water management, fine analysis of spatial and temporal interactions between cropping systems and water resources helps identify time and site-specific withdrawal situations. However, it is a methodological challenge to provide fine-resolution analyses at the scale of large watersheds used for crises management. In this study, we present a methodology based on multiple methods and mixed sources of information to finely model an agricultural landscape (AL) that represents the spatial distribution of cropping systems. Our approach is based on progressively hybridizing databases and local actors' and experts' knowledge to produce a spatially explicit and dynamic model. The Land Parcel Identification System database, which resulted from the European Common Agricultural Policy, is crucial for our method since it provides the spatial and temporal basis of our model (i.e., geographic delineation of islets and information about crop sequences). Local knowledge is used to identify factors determining spatial distribution of cropping systems and to build a generic model that simulates farmers' crop-management strategies. The model was qualitatively and quantitatively evaluated using a multi-agent simulation platform (MAELIA). We asked local experts on quantitative water management to evaluate the ability of the platform to reproduce intra- and inter-annual dynamics at different levels when using our model of the AL as input. The experts were satisfied with the results; they validated the predicted dynamics of the variables, and some discussed the objectivity of the values. We discuss the method’s contribution to current challenges in modeling large agricultural areas and the associated tradeoffs. The approach is promising for policy makers who wish to develop integrated, locally adapted land-management strategies.     

The Response of Equity Prices to Movements in Long‐Term Interest Rates Associated with Monetary Policy Statements: Before and After the Zero Lower Bound

Monetary policy actions since 2008 have influenced long‐term interest rates through forward guidance and quantitative easing. I propose a strategy to identify the comovement between interest rate and equity price movements induced by monetary policy when an observable representing policy changes is not available. A decline in long‐term interest rates induced by monetary policy statements has a larger positive effect on equity prices prior to 2009 than in the subsequent period. This change appears to reflect the impact of the zero lower bound on short‐term interest rates.     

Performance of Moving Average Trading Rules in a Volatile Stock Market: The Russian Evidence

This article examines the profitability of dual moving average crossover (DMAC) trading strategies in the Russian stock market over the 2003–12 period. It contributes to the existing technical analysis (TA) literature by testing, for the first time, the applicability of ordered weighted moving averages (OWMA) as an alternative calculation basis for determining DMACs. In addition, this article provides the first comprehensive performance comparison of DMAC trading rules in the stock market that is known as one of the most volatile markets in the world. The results show that the best trading strategies of the in-sample period can also outperform their benchmark portfolio during the subsequent out-of-sample period. Moreover, the outperformance of the best DMAC strategies is mostly attributable to their superior performance during bearish periods and, particularly, during stock market crashes.     

Credit risk,managerial behaviour and macroeconomic equilibrium within dual banking systems: Interest-free vs. interest-based banking industries

In this paper, an attempt has been made to explore the determinants of credit risk in the banking system with a particular interest toward the Islamic banking industry. We analyze the link between credit risk and a set of bank-specific and macroeconomic along with institutional variables using two complementary approaches. First, we investigate the factors of credit risk using one-step generalized method of moments (GMM) system estimator. Then, we explore the feedback between credit risk and its determinants in a panel vector autoregressive (PVAR) model. We have used a sample of Middle Eastern, North African (MENA) and Asian countries to apply our model. The major purpose of this paper is to find factors that could explain credit risk within the interest-free banking system relative to the interest-based one.     

新常态下的创新驱动——对创新服务体系的认识

党 的十八届五中全会报告指出，坚持创新发展，必须把创新摆在国家发展全局的核心位置，不 断推进理论创新、制度创新、科技创新、文化创新等各方面创新。我国经济发展进入了新常 态阶段，认识新常态、适应新常态、引领新常态，是当前和今后一个时期我国经济发展的大 逻辑。改革开放30年来，我国的创新能力有了大幅度提高，但是仍存在影响创新能力发展的 诸多障碍，尤其是创新服务体系还严重缺失。我国在加快科技与经济融合的进程中，需要重 视创新服务体系建设，把发展基点放在创新上，形成促进创新的体制架构。在大众创业、万 众创新的大形势下，打造创新创业集成服务商，支持创新平台、孵化载体建设，促进专业创 新服务机构的发展。     

Intelligent agents for adaptive security market surveillance

Market surveillance systems have increasingly gained in usage for monitoring trading activities in stock markets to maintain market integrity. Existing systems primarily focus on the numerical analysis of market activity data and generally ignore textual information. To fulfil the requirements of information-based surveillance, a multi-agent-based architecture that uses agent intercommunication and incremental learning mechanisms is proposed to provide a flexible and adaptive inspection process. A prototype system is implemented using the techniques of text mining and rule-based reasoning, among others. Based on experiments in the scalping surveillance scenario, the system can identify target information evidence up to 87.50% of the time and automatically identify 70.59% of cases depending on the constraints on the available information sources. The results of this study indicate that the proposed information surveillance system is effective. This study thus contributes to the market surveillance literature and has significant practical implications.     

辉钼矿深加工技术及产业分析

钼是一种稀有高熔点金属，不仅具有高温、强度高、硬度高，刚度大，抗磨损性能好等良好的机械性能，而且具有导热、导电性能好，热膨胀系数小，抗腐蚀性能强等优异的物理化学性能，因而被广泛用于冶金、机械、能源、化工、国防、航天等各个领域，成为发展现代高科技不可缺少的原材料之一。分析了目前我国钼矿石行业格局，以及钼产品深加工产业的市场风险。认为，应充分利用资源优势，延伸钼产品加工深度，调整产品结构，以推动我国钼工业向深层次、多品种、低能耗方向发展。     

浅谈计算机专业学生企业顶岗实习期间的评价体系建立

本文通过对计算机应用技术专业学生在企业顶岗实习期间进行调查研究,总结出学生在企业顶岗实习中的管理评价体系,用以充分调动学生的积极性和主动性,更好地进行顶岗实习和实现校企合作。