生物质可降解聚氨酯材料的研究进展

综述了近年来生物质可降解聚氨酯材料的种类,主要包括纤维素改性聚氨酯、低聚糖改性聚氨酯、木质素改性聚氨酯、单宁改性聚氨酯、树皮改性聚氨酯、淀粉改性聚氨酯及其它物质改性聚氨酯。     

空气泡沫驱技术的研究现状及展望

介绍了空气泡沫驱技术的起源、国内外研究现状,空气泡沫驱驱油机理以及目前空气泡沫驱技术的不足和发展趋势,指出空气泡沫驱技术研究体系的形成、驱油机理的进一步研究、腐蚀问题、产出气体处理以及注气过程中安全风险问题分析是今后研究方向。空气泡沫驱技术可望成为油田挖潜剩余储量最经济有效的方法之一。     

国际低碳城市规划的理论、实践和研究展望

低碳城市建设是缓解气候变化危机的重要举措,而低碳城市规划是低碳城市建设的关键技术.研究从低碳城市规划的理论、低(零)碳社区理念与实践、低碳城市未来发展3个方面,对国内外低碳城市规划研究进展进行综述,并从低碳城市的界定及路径、低碳城市规划建设、低碳技术的普及和创新、低碳城市建设实施机制4个方面提出未来低碳城市规划研究的趋...     

风力发电齿轮箱设计制造技术的发展与展望

概括描述了世界风力发电的现状及发展趋势;阐述了大型风电增速齿轮箱的设计制造关键技术,介绍了ANSI6006标准的主要内容;分析了我国大型风力发电增速齿轮箱设计制造技术的现状、存在问题及发展前景.     

近红外光谱(NIRS)技术在茶叶领域研究中的应用与展望

从传统茶叶品质检测手段与评价方法的局限性着手,阐述了近红外光谱技术的原理及其在茶叶品质成分定量分析和茶叶定性识别领域中的研究概况,并对该技术标准化和国产近红外光谱仪器的应用前景进行了展望,为近红外光谱技术在茶叶领域的应用与发展提供参考依据。     

蛇口工业区发展战略构想

本文阐明了蛇口工业区目前所处的内、外环境,运用差别优势理论对此进行系统分析,拟定了“投资转向。项目为主;引进重点,资金密集:依托招商,港航率先;内外布点,走向世界”的发展战略。作者认为,这一战略的实施,有助于蛇口从“引进来”的战略重点向“走出去”的战略重点转移。文中对战略推进的措施提出了具体的设想,描绘了战略的近期目标和详细的动态战略图,并对战略制定的方法和理论作了新的探索。     

微波能应用的回顾和展望

回顾二十年来微波能应用成功的实例，并展望多学科对微波功率应用迫切需求，有着丰富的内容。     

Parameters and micromechanisms of fatigue crack growth in sheet magnesium alloy samples

Growth rates of part-through and through fatigue cracks have been measured for two magnesium alloys — MA12 and IMV6 — and the micromechanisms of fatigue fracture were studied at all stages of growth. Conclusions about the peculiarities of the kinetics and micromechanisms of part-through and through crack growth, depending on the applied stress amplitudes and alloy structure, are made from a comparison of the results obtained.     

Computational aspects of prospect theory with asset pricing applications

We develop an algorithm to compute asset allocations for Kahneman and Tversky’s (Econometrica, 47(2), 263–291, 1979) prospect theory. An application to benchmark data as in Fama and French (Journal of Financial Economics, 47(2), 427–465, 1992) shows that the equity premium puzzle is resolved for parameter values similar to those found in the laboratory experiments of Kahneman and Tversky (Econometrica, 47(2), 263–291, 1979). While previous studies like Benartzi and Thaler (The Quarterly Journal of Economics, 110(1), 73–92, 1995), Barberis, Huang and Santos (The Quarterly Journal of Economics, 116(1), 1–53, 2001), and Grüne and Semmler (Asset prices and loss aversion, Germany, Mimeo Bielefeld University, 2005) focussed on dynamic aspects of asset pricing but only used loss aversion to explain the equity premium puzzle our paper explains the unconditional moments of asset pricing by a static two-period optimization problem. However, we incorporate asymmetric risk aversion. Our approach allows reducing the degree of loss aversion from 2.353 to 2.25, which is the value found by Tversky and Kahneman (Journal of Risk and Uncertainty, 5, 297–323, 1992) while increasing the risk aversion from 1 to 0.894, which is a slightly higher value than the 0.88 found by Tversky and Kahneman (Journal of Risk and Uncertainty, 5, 297–323, 1992). The equivalence of these parameter settings is robust to incorporating the size and the value portfolios of Fama and French (Journal of Finance, 47(2), 427–465, 1992). However, the optimal prospect theory portfolios found on this larger set of assets differ drastically from the optimal mean-variance portfolio.     

Multiple attribute decision making considering aspiration-levels: A method based on prospect theory

In this paper, a method based on prospect theory is proposed to solve the multiple attribute decision making (MADM) problem considering aspiration-levels of attributes, where attribute values and aspiration-levels are represented in two different formats: crisp numbers and interval numbers. According to the idea of prospect theory, aspiration-levels are firstly regarded as the reference points, and the four possible types for comparing an attribute value with an aspiration-level are described. Then, for all possible cases of the four types, the calculation formulae of gains and losses of alternatives concerning attributes are given. By calculating gain and loss of each alternative, a gain matrix and a loss matrix are constructed, respectively. Further, using the value function proposed in prospect theory and the simple additive weighting method, the overall prospect value of each alternative is calculated. Based on the obtained overall prospect values, a ranking of alternatives can be determined. Finally, a numerical example is used to illustrate the use of the proposed method.