讲座内容简介： We study how judicial efficiency affects the composition of shareholder litigation lawsuits and its impact on corporate disclosure. Exploiting the staggered adoption of the Case Management/Electronic Case Files (CM) system across U.S. federal district courts, we find that improved judicial efficiency significantly reduces firms’ exposure to frivolous lawsuits while increasing the i...

主讲人将汇报近年研究的光致自旋与轨道泵浦理论。倏逝光场的角动量已在纳米光学与等离激元学领域得到研究，但微波频段尚未涉及。通过激发态磁性纳米结构的倏逝杂散场，可实现导体与超导体中电子自旋流和轨道流的非接触泵浦。研究团队预测参量泵浦机制可将局域交流电磁场的角动量高效转化为直流自旋流。磁性纳米结构中的相干磁化动力学无需依赖自旋-轨道相互作用，即可向相邻半导体倏逝泵浦轨道流。光学自旋泵浦技术可实现三重态超...

The biomedical field has embraced the medical digital twin (DT) as a transformative goal, aimed at modeling individual patient health, forecasting disease trajectories, and guiding personalized interventions in real time. While the creation of a multi-organ, d multi-omics MDT remains Dr. Wen's long-term aspiration and is still in its very early stages, Dr. Wen's current research focuses on develop...

The "Valley of Death" remains a formidable barrier in biomedicine, where countless promising scientific discoveries fail to translate into viable therapeutics. This seminar will address the critical challenges that cause this attrition, spanning the entire value chain from initial target validation and compound generation to preclinical and clinical assessments of safety and efficacy. W...

Given their increasing ubiquity it is of the utmost importance to ensure that AI systems can represent a diverse set of human values and perspectives. Meanwhile progress on this type of control of Large Language Models (LLMs) has been hampered by a fundamental underlying problem in generative models: the difficulty of evaluating their behavior. With their enormous range of inputs and responses an...

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Adaptive deep brain stimulation (aDBS) for Parkinson’s disease recently joined responsive neurostimulation (RNS) for epilepsy as an approved closed-loop brain stimulation therapy in the United States. In addition to improving quality of life for patients, these bi-directional brain-computer interfaces (BCIs) are invaluable tools for improving our understanding of brain circuits and eventually tra...