英国国家科研与创新署学科交叉研究资助机制及启示

Newly established in 2018, the UK Research and Innovation (UKRI) strengthens the strategic coordination of the UK research and innovation system by bringing together seven Research Councils, Research England, and Innovate UK. Through its nine organizations, UKRI funds multidisciplinary and interdisciplinary research in a number of priority areas. It also runs the Strategic Priorities Fund to support multidisciplinary and interdisciplinary research in strategic areas identified by government policies as well as the Global Challenges Research Fund to promote challenge-led interdisciplinary research needed by developing countries. The UKRI makes significant efforts to engage stakeholders in the development, design, and implementation of multidisciplinary and interdisciplinary programs. It has also developed a range of mechanisms to improve the evaluation of multidisciplinary and interdisciplinary projects. Chinese science and innovation funding agencies could draw upon the UKRI experience from four aspects to advance interdisciplinary research in China.     

贴牌生产供应链混合渠道构建基础及优化机理研究

研究由制造商和品牌商组成的混合渠道贴牌生产供应链渠道结构优化问题,制造商通过直销和贴牌两条渠道销售产品.通过与单一渠道比较,分别推导出制造商和品牌商选择混合渠道的依据和优越性,进而归纳出双方共同接受混合渠道的制造商生产成本和品牌商品牌溢价优化条件,分析了渠道转移系数对双方构建混合渠道结构条件的影响,得出了制造商生产成本和品牌商品牌溢价作为竞争要素的互动决策改进贴牌供应链整体绩效的优化机理.     

Why indexing works

We develop a simple stock selection model to explain why active equity managers tend to underperform a benchmark index. We motivate our model with the empirical observation that the best performing stocks in a broad market index often perform much better than the other stocks in the index. Randomly selecting a subset of securities from the index may dramatically increase the chance of underperforming the index. The relative likelihood of underperformance by investors choosing active management likely is much more important than the loss those same investors take due to the higher fees of active management relative to passive index investing. Thus, active management may be even more challenging than previously believed, and the stakes for finding the best active managers may be larger than previously assumed.     

Risk externalities and too big to fail

This paper establishes the case for a fallacy of economies of scale in large aggregate institutions and the effects of scale risks. The problem of rogue trading and excessive risk taking is taken as a case example. Assuming (conservatively) that a firm exposure and losses are limited to its capital while external losses are unbounded, we establish a condition for a firm not to be allowed to be too big to fail. In such a case, the expected external losses second derivative with respect to the firm capital at risk is positive. Examples and analytical results are obtained based on simplifying assumptions and focusing exclusively on the risk externalities that firms too big to fail can have.     

Self‐assembly of Carbon Particles as a Heat Sink Coating to Promote Radiative Cooling

Novel composite carbon particles are developed that can self‐assemble as a coating on a substrate without a binder. These carbon particles were used as a coating to enhance thermal dissipation and their thermal conductivity, surface emissivity and cooling performance were measured. Carbon particles with both thiol and epoxy functional groups self‐assembled to form a coating on the surface of a heat sink without a binder, which greatly improved the thermal conductivity of the coating. Coating a heat sink with the carbon particles yielded a higher thermal conductivity and emissivity than could be obtained with the addition of binder in the conventional approach, and significantly enhanced the cooling performance. In addition, the cooling performance of the carbon nanotube outperformed all other particles when coated on a substrate, because it had the highest thermal conductivity and good radiation emissivity. We developed an equation to describe the various parameters affecting the cooling performance of the thermally dissipative coating. This equation was confirmed by the experimental data.     

Time-dependent optimization of a multi-item uncertain supply chain network: A hybrid approximation algorithm

We consider the uncertain least cost shipping problem. The input is a multi-item supply chain network with time-evolving uncertain costs and capacities. Exploiting the operational law of uncertainty theory, a mathematical model of the problem is established and the indeterminacy factors are tackled. We use the scaling idea together with transformation approach and uncertainty programming to develop a hybrid algorithm to optimize and obtain the uncertainty distribution of the total shipping cost. We analyze the practical performance of the algorithm and present an illustrative example.     

A short review on latest developments in catalytic depolymerization of Poly (ethylene terephathalate) wastes

Chemical recycling of plastic wastes is top among the effective management of the solid wastes. Particularly the post-consumer polyethylene terephthalate (PET) plastic wastes mainly generated from the disposal of beverage bottles and placed third most produced polymeric waste. However, PET wastes could be chemically recycled using several types of homo-/heterogeneous acid or base catalysts, and an effective recycling process has yet to be achieved. Therefore, the present short review is intended to display recent reports on the depolymerization of PET polymer wastes. The review aimed to cover glycolysis and aminolytic depolymerization using various catalytic systems. There is a wide spectrum of catalytic systems such as metal oxides, ionic liquids, organic bases, nanoparticles, porous materials and microwave-assisted rapid depolymerization methods have been developed toward the yield enhancement of the depolymerized products. Ideologically, the present review would benefit the researchers in familiarizing themselves with the latest developments in this field.     

针对理论-实验教学相融合的微助教辅助实验教学实践——以滴定分析实验教学为例

研究生助教培养是高校化学本科生实验教学的重要组成部分,对提高实验课程的教学水平具有重要的推动作用。为解决助教培训时间仓促、定位不清、内容不连续、工具性倾向明显,以及在助教聘用、考核、激励、教学质量评估等方面规范性和系统性不足等问题,仪器分析实验室以《GB/T 19028–2018质量管理人员参与和能力指南》为理论依据,探索提高研究生助教深度参与实验教学的方法。连续三年追踪助教培养改进效果反馈数据表明,实验室采取的一系列改进措施有效提升了研究生助教的教学能力,促进了教学质量的提高,实现助教管理的改革创新与“过程增值”。     

持续推进人才培养基地建设实现化学创新人才高质量培养

吉林大学化学学科自建立伊始,以创新型化学及相关交叉学科人才为根本目标,历经1993年开始的国家理科基础科学研究和教学人才培养基地建设、2009年开始的“基础学科拔尖学生培养试验计划”实施、2020年的“基础学科拔尖学生培养计划2.0基地”建设与基础学科招生改革试点(强基计划)的实施,通过近30年化学基地的持续建设,形成了具有吉大特色的以“厚基础、强能力、会创新”的化学创新人才培养模式。围绕基地持续建设过程中如何针对学科发展以及学生知识结构的变化,不断推进拔尖班、强基班的教学管理模式与课程体系建设,打造高水平师资队伍、加大优质课程建设、探索国家化培养模式等进行介绍。