Kabusure, Kabusure M. Piskunen, Petteri Yang, Jiaqi Linko, Veikko Hakala, Tommi K.
We report on efficient surface-enhanced Raman spectroscopy (SERS) supporting substrates, which are based on DNA-assisted lithography (DALI) and a layered configuration of materials. In detail, we used nanoscopic DNA origami bowtie templates to form hybrid nanostructures consisting of aligned silver bowtie-shaped particles and apertures of similar s...
Vandorou, Aikaterini Dang, Lisa Bennett, David P. Koshimoto, Naoki Terry, Sean K. Beaulieu, Jean-Phillipe Alard, Christophe Bhattacharya, Aparna Blackman, Joshua W. Bouchoutrouch-Ku, Tarik
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We present the analysis of high resolution follow-up observations of OGLE-2016-BLG-1195 using Keck, four years after the event's peak. We find the lens system to be at $D_L = 6.87\pm 0.65$ kpc and comprised of a $M_{\rm p} = 9.91\pm 1.61\ M_{\rm Earth}$ planet, orbiting an M-dwarf, $M_{\rm L} = 0.57\pm 0.06\ M_{\odot}$, beyond the snow line, with a...
Amjad, Abdul Haddi Shafiq, Zubair Gulzar, Muhammad Ali
Modern websites heavily rely on JavaScript (JS) to implement legitimate functionality as well as privacy-invasive advertising and tracking. Browser extensions such as NoScript block any script not loaded by a trusted list of endpoints, thus hoping to block privacy-invasive scripts while avoiding breaking legitimate website functionality. In this pa...
Kehagias, Alex Riotto, Antonio
It has been recently shown that nonlinear effects emerging at the time of the generation of the quasi-normal modes are necessary to model ringdowns from black hole mergers. In this note, we describe how nonlinerarities also arise when defining gauge-invariant tensor modes and in the calculation of the observable measured in the interferometers beyo...
Lim, Brian Y. Cahaly, Joseph P. Sng, Chester Y. F. Chew, Adam
Many visualizations have been developed for explainable AI (XAI), but they often require further reasoning by users to interpret. We argue that XAI should support abductive reasoning - inference to the best explanation - with diagrammatic reasoning to convey hypothesis generation and evaluation. Inspired by Peircean diagrammatic reasoning and the 5...
Ernst, Alena Schmidt, Kai-Uwe
A subset $Y$ of the general linear group $\operatorname{GL}(n,q)$ is called $t$-intersecting if $\operatorname{rk}(x-y)\le n-t$ for all $x,y\in Y$, or equivalently $x$ and $y$ agree pointwise on a $t$-dimensional subspace of $\mathbb{F}_q^n$ for all $x,y\in Y$. We show that, if $n$ is sufficiently large compared to $t$, the size of every such $t$-i...
Shahmansoori, Arash Roedig, Utz
Voice assistants overhear conversations and a consent management mechanism is required. Consent management can be implemented using speaker recognition. Users that do not give consent enrol their voice and all their further recordings are discarded. Building speaker recognition-based consent management is challenging as dynamic registration, remova...
Shen, Shuting Chen, Xi Fang, Ethan X. Lu, Junwei
Assortment optimization has received active explorations in the past few decades due to its practical importance. Despite the extensive literature dealing with optimization algorithms and latent score estimation, uncertainty quantification for the optimal assortment still needs to be explored and is of great practical significance. Instead of estim...
Hassan, Mohamed Guo, Yunrong Wang, Tingwu Black, Michael Fidler, Sanja Peng, Xue Bin
Movement is how people interact with and affect their environment. For realistic character animation, it is necessary to synthesize such interactions between virtual characters and their surroundings. Despite recent progress in character animation using machine learning, most systems focus on controlling an agent's movements in fairly simple and ho...
Dong, Jiahua Cong, Yang Sun, Gan Zhang, Yulun Schiele, Bernt Dai, Dengxin
Federated learning (FL) is a hot collaborative training framework via aggregating model parameters of decentralized local clients. However, most existing models unreasonably assume that data categories of FL framework are known and fxed in advance. It renders the global model to signifcantly degrade recognition performance on old categories (i.e., ...