A Study on the Innovative Performance and University and Research Institutions Equity Participation Enterprise—Based on the Data for Chinese listed companies

企业创新随着社会的发展逐渐成为推进产业进步以及提升企业持续竞争力的重要影响因素。多年以来，谈到技术创新，人们更多地将注意力投向企业内部，认为其为了实现技术突破，通常会将研究与开发的职能集成到企业之中，并通过设立独立的研发机构与提高研发投资强度来增强企业的技术能力。然而当今世界全球性技术竞争不断加剧，综合性和集群性越来越强，即使是创新实力较为雄厚的大企业也会面临技术和资源短缺的问题，企业单独依靠自身能力取得技术进展的难度越来越大。因此，通过分工合作的方式将外部技术资源内部化，利资源共享和优势互补进行创新研发，成为新形势下企业科技创新的必然趋势。其中，近几年在产学研协同创新战略驱动下，我国高校、科...With the development of society, enterprise innovation has gradually become an important factor to promote industrial progress and enhance the sustainable competitiveness of enterprises. Over the years, when it comes to technological innovation, people usually focus on the internal of enterprise, feel that in order to achieve technological breakthroughs, they will often take the research and devel...学位：管理学硕士院系专业：管理学院_会计硕士学号：1842014115063

利用微藻处理污水的研究进展

人类经济活动的发展使大量污水进入水体,导致水质恶化,破坏了生态系统的平衡。为降低水污染对生态环境的负面影响,开发经济高效的污染物治理技术迫在眉睫。基于微藻培养的污水处理技术具有环境友好和处理成本低等优点,逐渐替代了传统的物理化学处理法。总结了微藻在污水处理中的研究现状以及技术应用,阐述了微藻净化污水的机理,综述了微藻处理污水技术的发展及其与藻生物质生产偶联的研究现状以及工程实例,在净化污水的同时可获得微藻生物质,通过后续的加工可以生产各种具有经济效益的产品,实现了污水的资源化

Hepatic differentiation of human embryonic stem cells by coupling substrate stiffness and microtopography

Mechanical or physical cues are associated with the growth and differentiation of embryonic stem cells (ESCs). While the substrate stiffness or topography independently affects the differentiation of ESCs, their cooperative regulation on lineage-specific differentiation remains largely unknown. Here, four topographical configurations on stiff or soft polyacrylamide hydrogel were combined to direct hepatic differentiation of human H1 cells via a four-stage protocol, and the coupled impacts of stiffness and topography were quantified at distinct stages. Data indicated that the substrate stiffness is dominant in stemness maintenance on stiff gel and hepatic differentiation on soft gel while substrate topography assists the differentiation of hepatocyte-like cells in positive correlation with the circularity of H1 clones initially formed on the substrate. The differentiated cells exhibited liver-specific functions such as maintaining the capacities of CYP450 metabolism, glycogen synthesis, ICG engulfment, and repairing liver injury in CCl4-treated mice. These results implied that the coupling of substrate stiffness and topography, combined with the biochemical signals, is favorable to improve the efficiency and functionality of hepatic differentiation of human ESCs

空间激光干涉引力波探测与早期宇宙结构形成

空间引力波探测是研究宇宙早期恒星演化和星系形成、黑洞和星系的共同成长等天文学和宇宙学重大问题的一条重要可能途径。经过两期科学院先导科技专项空间科学预研究课题的开展,通过权衡技术的可行性与科学的前瞻性,选择以高红移开始的中至大质量双黑洞并合系统、星团等稠密动力学环境中涉及中等质量黑洞的双黑洞引力波波源为主要科学目标,给出了我国毫赫兹至赫兹频段空间引力波探测任务计划的初步设计。以该任务设计建议为依据,简要介绍空间引力波探测及其作为一种新的天文观测手段的科学内涵,以及我国空间引力波探测任务设计的科学目标和探测潜力

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies