浅析量子力学中的不确定性原理

德国物理学家海森伯在1927年提出的不确定性原理,包括两力学量间的不确定性原理和能量与时间的不确定性原理,它的提出意味着量子力学不仅有了完整的数学形式,而且有了合理的理论解释.本文尝试通过对不确定性原理的创立背景、过程、应用等来对这一原理做简要介绍,特别强调了科学讨论在科学发展中的作用.     

New and Old Concepts in Thermoelectric Materials

Herein we cover the key concepts in the field of thermoelectric materials research, present the current understanding, and show the latest developments. Current research is aimed at increasing the thermoelectric figure of merit (ZT) by maximizing the power factor and/or minimizing the thermal conductivity. Attempts at maximizing the power factor include the development of new materials, optimization of existing materials by doping, and the exploration of nanoscale materials. The minimization of the thermal conductivity can come through solid‐solution alloying, use of materials with intrinsically low thermal conductivity, and nanostructuring. Herein we describe the most promising bulk materials with emphasis on results from the last decade. Single‐phase bulk materials are discussed in terms of chemistry, crystal structure, physical properties, and optimization of thermoelectric performance. The new opportunities for enhanced performance bulk nanostructured composite materials are examined and a look into the not so distant future is attempted.     

Entropic order quantity (EnOQ) model for deteriorating items

Jaber et al. [M.Y. Jaber, R.Y. Nuwayhid, M.A. Rosen, Price-driven economic order systems from a thermodynamic point of view, Int. J. Prod. Res. 42 (24) (2004) 5167–5184] suggested that it might be possible to improve production systems performance by applying the first and second laws of thermodynamics to reduce system entropy (or disorder). They then used these laws to modify the economic order quantity (EOQ) model to derive an equivalent entropic order quantity (EnOQ). The results suggested that larger quantities should be ordered than is suggested by the classical EOQ model.     

人民币汇率波动与我国房价关系的实证分析

分析了汇率影响房价的机制,利用人民币实际有效汇率、房地产价格指数和银行同业拆借利率共30组数据(2005,07～2007,12)建立了向量自回归模型(VAR),并使用协整、Granger因果检验,脉冲响应分析对人民币汇率波动与我国房地产价格之间的关系进行实证检验.研究结果表明,人民币实际有效汇率对房地产价格产生正向影响,人民币升值是引起房价上涨的格兰杰原因.在现阶段,控制因人民币升值而进入中国的境外资金过度流入房地产市场,有利于保持我国房地产价格稳定.     

火灾的周期性波动规律及其应用

分析中国火灾的历年统计数据,发现中国火灾发生规律同时具有增长趋势性和周期波动性特征.借助于M ATLAB软件,根据2000-2006年中国火灾统计数据,分别建立了火灾24小时发生起数的(1)趋势灰色预测与周期波动指数相乘的组合预测模型和(2)二次曲线趋势与Fourier级数叠加的组合预测模型,两个模型(预测值与实际值)的平均相对误差都小于0.09.研究结论为消防研究、消防部门决策提供科学依据.     

A Complete Multiscale Modelling Approach for Polymer–Clay Nanocomposites

We present an innovative, multiscale computational approach to probe the behaviour of polymer–clay nanocomposites (PCNs). Our modeling recipe is based on 1) quantum/force‐field‐based atomistic simulation to derive interaction energies among all system components; 2) mapping of these values onto mesoscopic bead–field (MBF) hybrid‐method parameters; 3) mesoscopic simulations to determine system density distributions and morphologies (i.e., intercalated versus exfoliated); and 4) simulations at finite‐element levels to calculate the relative macroscopic properties. The entire computational procedure has been applied to two well‐known PCN systems, namely Nylon 6/Cloisite 20A and Nylon 6/Cloisite 30B, as test materials, and their mechanical properties were predicted in excellent agreement with the available experimental data. Importantly, our methodology is a truly bottom‐up approach, and no “learning from experiment” was needed in any step of the entire procedure.     

A Dynamic Supplier Selection and Inventory Management Model for a Serial Supply Chain with a Novel Supplier Price Break Scheme and Flexible Time Periods

A new supplier price break and discount scheme taking into account order frequency and lead time is introduced and incorporated into an integrated inventory planning model for a serial supply chain that minimizes the overall incurred cost including procurement, inventory holding, production, and transportation. A mixed-integer linear programming (MILP) formulation is presented addressing this multi-period, multi-supplier, and multi-stage problem with predetermined time-varying demand for the case of a single product. Then, the length of the time period is considered as a variable. A new MILP formulation is derived when each period of the model is split into multiple sub-periods, and under certain conditions, it is proved that the optimal solution and objective value of the original model form a feasible solution and an upper bound for the derived model. In a numerical example, three scenarios of the derived model are solved where the number of sub-period is set to 2, 3, and 4. The results further show the decrease of the optimal objective value as the length of the time period is shortened. Sufficient evidence demonstrates that the length of the time period has a significant influence on supplier selection, lot sizing allocation, and inventory planning decisions. This poses the necessity of the selection of appropriate length of a time period, considering the trade-off between model complexity and cost savings.     

Supporting disciplinary and interdisciplinary knowledge development and design thinking in an informal,pre‐engineering program: A Workplace Simulation Project

In this paper, we examined students’ engagement in an implementation of a Workplace Simulation Project (WSP). The WSP was designed to actively engage students in learning disciplinary content by inviting engineers from industry to have a physical presence within the school building to collaborate with teachers and students to complete projects which simulate the tasks authentic to their work. We focus on the first year implementation of the program that partnered a high school in the rural Midwest with an engineering unit of a government organization. Using a multiple methods study design, we analyzed disciplinary and interdisciplinary pre and posts test along with students’ interviews to determine learning gains as well as students’ interpretations of creative and critical thinking as experienced in the project and their knowledge of the engineering design process. Effect sizes showed that students in the WSP group had notable gains over the control group participants. Additionally, students’ knowledge of core elements of the design process were identified in inductive analyses of the interviews. Findings from this study will provide usable knowledge about effective ways to support systems and design thinking and ways to support expert‐novice collaboration to ensure success.     

Preparing preservice elementary teachers to teach engineering: Impact on self‐efficacy and outcome expectancy

Research indicates there is a need for teachers to experience multiple mastery experiences with engineering teaching in order to improve teaching engineering self‐efficacy. To prepare future K–5 teachers to teach the engineering design process, one science methods course integrated 2‐day engineering mini‐units into the class meeting and school‐based field experience. The preservice teachers participated as students in an exemplar mini‐unit and then designed their own mini‐unit, which they later taught to K–5 students. Pre‐ and post‐testing of the preservice teachers indicated significant improvement in engineering pedagogical content knowledge self‐efficacy, engagement self‐efficacy, and disciplinary self‐efficacy. Significant improvement was not observed in engineering outcome expectancy.     

Integrated STEM in practice: Learning from Montessori philosophies and practices

In theory, STEM (interdisciplinary science, technology, engineering and mathematics) is cross‐disciplinary and situated in real‐world problem‐solving contexts. In practice, STEM disciplines are often implemented separately using contrived contexts. This paper examines theoretical and empirical aspects of Montessori middle school science in the United States, and its alignment with the conceptual framework of integrated STEM. We selected Montessori adolescent environments because the Montessori philosophy involves interdisciplinary application contextualized in purposeful work and learning. Our research sought to investigate how Montessori middle schools have designed their science programs, and to situate these findings within the current landscape of STEM education and reform‐based science. Based on the results of our survey of 96 U.S. Montessori middle schools, we argue Montessori offers an integrated educational approach that meaningfully situates academic disciplines to mirror local and global challenges, well supported by theory and literature on STEM and situated learning theories. We assert that integrated STEM happens organically in many Montessori middle schools, and takes place through authentic work in communities of practice. Our research communicates the value of looking outside traditional school settings to examine alternative formal education spaces, like Montessori classrooms where integrated STEM happens organically.