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Undergraduate research on a fluorescent magnetic nanomaterial for visualizing latent fingermarks.
专利收益影响因素实证研究
Combining logistic regression with a BP neural network, this study identifies the main determinants of patent profitability across applicant-, patent-, and event-level characteristics.
专利技术鉴定意见证据效力实证研究及政策启示
Using court decisions from across China, this study examines the evidentiary weight of patent technical appraisal opinions and offers institutional recommendations for commissioning, cross-examination, and professional oversight.
Using the patent review system as an entry point, my co-authors and I assessed the economic effectiveness of innovation incentives for environmental protection.
This article focuses on the implications of the distance characteristics of inter-firm technology transactions (mainly in the form of patent transfers) for subsequent innovation by firms.
Using fast-tracking patent applications as a quasi-natural experiment, we find that extending effective patent length stimulates corporate innovation and facilitates knowledge spillovers.
外国企业在华专利独占性的技术路径依赖效应:来自集成电路制造业的证据
Using a patent dataset for China’s integrated circuit manufacturing industry, this study shows how foreign enterprises can use patent appropriability to create technological path dependence and lock-in.
专利申请提前公开对技术交易的影响研究
Using an instrumental-variable approach and two-stage least squares, this study finds that early patent application publication reduces information asymmetry and significantly promotes technology transactions.
快车道上的“专利泡沫”——来自中国专利申请提前公开的证据
Examining the strategic use of early publication, this study finds that it may increase low-quality filings and create a policy-driven patent bubble.
加速的代价:专利提前公开如何侵蚀创新价值
This study finds that early publication shortens patent maintenance duration, with knowledge spillovers and infringement risk serving as key mechanisms through which innovation value is eroded.
AI4S 背景下阴性结果数据的价值及实现机制
This study explains the distinctive value of negative-result data for AI for Science and proposes an implementation framework encompassing data collection, contribution incentives, and iterative data–model feedback.
Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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