Since global climate and health issues are becoming more urgent, many countries have made pledges towards carbon reduction and net zero within the next decades. Defossilization is one major aspect in such scenarios. The increasing introduction of renewable power goes along with a different focus and new opportunities for combustion science and applications. Alternative fuels and fuel blends as well as novel combustion and aftertreatment strategies aim to reduce the carbon footprint and local emissions. From a chemical viewpoint, such measures introduce exciting research questions regarding in-depth information on the combustion process, including detailed, fundamentally founded reaction mechanisms and physico-chemical combustion models of predictive character. Progress relies increasingly on valuable combinations of experiments, theory, simulation, and data strategies. The talk will highlight some recent examples of combustion chemistry research within this general discussion. Powerful in-situ diagnostic methods are applied to probe reactive systems in laboratory configurations. Results from prototypical fuels will be shown also to provide some guidance for further theoretical studies and model development. Such selected examples can serve as food for thought about chances and challenges in the transition towards carbon-reduced processes.

工业4.0提出十年后，已在全球范围内被确立为制造业数字化转型的成功范式。从那时起，最初的概念不断被推进，以管理从数字化、资源节约型工厂到数字化和可持续经济的转变。重要的推动因素有：数字孪生、工业元空间、基于人工智能的自动化和机器人技术、智能服务和数字商业生态系统，以及在联合数据空间中的可信数据交换。 将废物从当前的价值链中移除，增长可以与资源消耗脱钩，以实现生态效益并建立循环经济。双模性、循环性、敏捷性和网络准备将塑造商业的未来。

In this talk I will describe how to plant novel types of backdoors in any facial recognition model based on the popular architecture of deep Siamese neural networks, by mathematically changing a small fraction of its weights (i.e., without using any additional training or optimization). These backdoors force the system to err only on specific persons which are preselected by the attacker. For example, we show how such a backdoored system can take any two images of a particular person and decide that they represent different persons (an anonymity attack), or take any two images of a particular pair of persons and decide that they represent the same person (a confusion attack), with almost no effect on the correctness of its decisions for other persons. Uniquely, we show that multiple backdoors can be independently installed by multiple attackers who may not be aware of each other's existence with almost no interference. Joint work with Irad Zehavi.

Nanotechnology is undoubtedly one of the most important technologies in the 21st century, impacting a very broad range of scientific research and industries, from semiconductor ICs, and data storage, nanophotonics, batteries, displays, light emitting diodes, optical communication, virtual reality, biotechnology, medicine, security features, to name just a few. However, the full potential of nanotechnology cannot be utilized, unless we have a nanomanufacturing technology that can manufacture nanostructures with high throughput and low cost. Of all existing technologies for manufacturing well-defined nanostructures, nanoimprint clearly is one of the most promising ones. Nanoimprint has a unique combination of attributes, including the highest resolution (0.3 nm!), the smallest pitch (<10 nm), large-area (e.g. wall-paper size), high-throughput and low cost, that are unmatchable by other existing methods. As a result, nanoimprint has emerged as one of the most important manufacturing technologies in the 21st century, and is rapidly evolving into a multi-billion-dollar industry. As the inventor of nanoimprint, the author will present his view overview on the status and future of nanoimprint in research and industrialization. Furthermore, the author will discuss another groundbreaking technology innovation called iMOST™ (instant Mobile Self-Test) – a new platform for healthcare test, that he has invented and developed*. iMOST is designed to offer instant mobile personal self-medical-diagnostic testing that is accurate, reliable, simple to use, affordable to everyone, and can be used anywhere and anytime. iMOST achieved its goals by outside-the-box thinking and a new paradigm, that is fundamentally different from the traditional and that successfully removes several key roadblocks in testing outside a lab. The new paradigm has the following unique features: (i) “Fault-Tolerant” (ii) “One Device for All” and (iii) low-cost, portable and scalable. The new paradigm is uniquely achieved by using nanotechnology, advance imaging, Nano-Enabled Artificial intelligence/Machine-learning (NEAM) and new bio/chemical processes into diagnostic testing. iMOST is poised to replace traditional, expensive, time-consuming lab test, significantly impacting future telemedicine. * The iMOST work was performed at Essenlix Corp

Protein folding can begin co-translationally. Due to the difference in timescale between folding and synthesis, co-translational folding is thought to occur at equilibrium for fast folding domains. Thus, the folding kinetics of stalled ribosome-bound nascent chains should match the folding of nascent chains in real time. We test this assumption by comparing the folding of a ribosome-bound, multi-domain calcium-binding protein stalled at different points in translation with the nascent chain as is it being synthesized in real-time, via optical tweezers. In vitro, a misfolded state of the protein occurs readily, and on stalled ribosomes, the misfolded state still forms rapidly (1.5 s). Surprisingly, during active translation, this state is only attained after a long delay (~ 60 s), indicating that, unexpectedly, the growing polypeptide is not equilibrated with its ensemble of accessible conformations. Slow equilibration on the ribosome can delay premature folding until adequate sequence is available and/or allow time for chaperone binding, thus promoting productive folding. On the other hand, interactions between the nascent polypeptide and the ribosome exit tunnel represent one mode of regulating synthesis rates, which, in turn, are thought to affect protein folding. The SecM protein arrests its own translation as part of a feedback mechanism, and release of arrest has been proposed to occur by mechanical force at the translocon. This is the so-called translocon mechanical hypothesis. Using optical tweezers, I demonstrate that arrest of SecM-stalled ribosomes can indeed be rescued by force alone. Moreover, I will show that the force needed to release stalling can be generated in vivo by a nascent chain folding near the ribosome tunnel exit. I formulate a kinetic model describing how a protein can regulate its own synthesis by the force generated during folding, tuning ribosome activity to structure acquisition by a nascent polypeptide.

在本次报告中，王复明院士将从治水梦想的起源、固坝修道的成果、坝道医院的使命三个方面讲述自己人生三个阶段的心路历程。高中毕业后，“75.8”抗洪抢险经历使他萌生了“治水”梦，选择水利工程专业，立志做一名“治水”的工程医生。博士毕业后，以水灾害防治、“固坝修道”为方向，带领团队十年磨一剑，完成了道路、铁路及机场病害诊治技术，堤坝及地下工程渗漏涌水防治技术和地下管道非开挖修复技术等成果。当选院士后，致力建设“坝道工程医院”，打造科教融合实践育人共享平台。