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China CDC weekly 2022年第40期4卷 885-889,I0002-I0005页

作者： Yuan Bai Mingda Xu Caifen Liu Mingwang Shen Lin Wang Linwei Tian Suoyi Tan Lei Zhang Petter Holme Xin Lu Eric H.Y.Lau Benjamin J.Cowling Zhanwei Du WHO Collaborating Centre for Infectious Disease Epidemiology and Control School of Public HealthLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong Special Administrative RegionChina Laboratory of Data Discovery for Health Limited(D24H) Hong Kong Science ParkHong Kong Special Administrative RegionChina China-Australia Joint Research Center for Infectious Diseases School of Public HealthXi’an Jiaotong University Health Science CenterXi’an CityShaanxi ProvinceChina Department of Genetics University of CambridgeCambridge CB23EHUK College of Systems Engineering National University of Defense TechnologyChangsha CityHunan ProvinceChina Department of Computer Science Aalto UniversityEspooFinland Center for Computational Social Science Kobe UniversityKobeJapan

Introduction:Minimizing the importation and exportation risks of coronavirus disease 2019(COVID-19)is a primary concern for sustaining the“Dynamic COVID-zero”strategy in *** estimation is essential for cities to conduct before relaxing border control ***:Informed by the daily number of passengers traveling between 367 prefectures(cities)in China,this study used a stochastic metapopulation model parameterized with COVID-19 epidemic characteristics to estimate the importation and exportation ***:Under the transmission scenario(R0=5.49),this study estimated the cumulative case incidence of Changchun City,Jilin Province as 3,233(95%confidence interval:1,480,4,986)before a lockdown on March 14,2022,which is close to the 3,168 cases reported in real life by March 16,*** a total of 367 prefectures(cities),127(35%)had high exportation risks according to the simulation and could transmit the disease to 50%of all other regions within a period from 17 to 94 *** average time until a new infection arrives in a location in 1 of the 367 prefectures(cities)ranged from 26 to 101 ***:Estimating COVID-19 importation and exportation risks is necessary for preparedness,prevention,and control measures of COVID-19—especially when new variants emerge.

关键词： Export Changchun prevention

A "String Art" Approach to the Design and Manufacturing of Optimal Composite Materials and Structures

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arXiv 2020年

作者： Ostanin, Igor Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow Russia

In this paper we report a new promising idea on the design and manufacturing of ply composite structures, tailored to exhibit maximum stiffness under given weight constraints and loading conditions. It is based on the idea behind an artistic technique known as "string art" - the representation of an image with a single thread, tensioned between pins on the flat frame. A discrete optimization algorithm has been employed recently to formalize the process of finding a configuration of thread windings that fuses into a given greyscale image. We demonstrate how this algorithm can be employed to approximate the two-dimensional distribution of isotropic material, computed by a conventional topology optimization algorithm. An optimal composite design is thus found as a result of the following two-stage process. At the first stage, topology optimization procedure produces regular grid of greyscale values of stiffness. At the second stage, this distribution is approximated with a polyline, representing the stiff reinforcement fiber in a soft matrix, according to "string art" optimization algorithm. The efficiency of the proposed approach is illustrated with few simple numerical examples. Our development opens a wide avenue for the industrial design of the new generation of fibrous composite structures. Copyright © 2020, The Authors. All rights reserved.

关键词： Manufacture

CACTUS: a Comprehensive Abstraction and Classification Tool for Uncovering Structures

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arXiv 2023年

作者： Gherardini, Luca Varma, Varun Ravi Capala, Karol Woods, Roger Sousa, Jose Personal Health Data Science Team Sano Centre for Personalised Computational Personalised Medicine Czarnowiejska 36 building C5 Krakow30-054 Poland School of Electronics Electrical Engineering and Computer Science Queen’s University Belfast 6 Malone Road Northern Ireland BelfastBT9 5BN United Kingdom

The availability of large data sets is providing an impetus for driving current artificial intelligent developments. There are, however, challenges for developing solutions with small data sets due to practical and cost-effective deployment and the opacity of deep learning models. The Comprehensive Abstraction and Classification Tool for Uncovering Structures called CACTUS is presented for improved secure analytics by effectively employing explainable artificial intelligence. It provides additional support for categorical attributes, preserving their original meaning, optimising memory usage, and speeding up the computation through parallelisation. It shows to the user the frequency of the attributes in each class and ranks them by their discriminative power. Its performance is assessed by application to the Wisconsin diagnostic breast cancer and Thyroid0387 data sets. Copyright © 2023, The Authors. All rights reserved.

关键词： Cost effectiveness

Optimal Multistage Group Testing Algorithm for 3 Defectives

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Optimal Multistage Group Testing Algorithm for 3 Defectives

IEEE International Symposium on Information Theory

作者： Ilya Vorobyev Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow Russia

The following topics are dealt with: channel coding; computational complexity; decoding; channel capacity; probability; optimisation; error correction codes; learning (artificial intelligence); graph theory; and data ...

ISBN: (数字)9781728164328

ISBN: (纸本)9781728164335

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Bayesian generative models for knowledge transfer in MRI semantic segmentation problems

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arXiv 2020年

作者： Kuzina, Anna Egorov, Evgenii Burnaev, Evgeny Skolkovo Institute of Science and Technology Center for Computational and Data-Intensive Science and Engineering Moscow Russia

Automatic segmentation methods based on deep learning have recently demonstrated state-of-the-art performance, outperforming the ordinary methods. Nevertheless, these methods are inapplicable for small datasets, which are very common in medical problems. To this end, we propose a knowledge transfer method between diseases via the Generative Bayesian Prior network. Our approach is compared to a pre-train approach and random initialization and obtains the best results in terms of Dice Similarity Coefficient metric for the small subsets of the Brain Tumor Segmentation 2018 database (BRATS2018). Copyright © 2020, The Authors. All rights reserved.

关键词： Tumors

Trapping-influenced photoluminescence intensity decay in semiconductor nanoplatelets 6

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Trapping-influenced photoluminescence intensity decay in sem...

6th International Conference on Metamaterials and Nanophotonics, METANANO 2021

作者： Kurilovich, A.A. Mantsevich, V.N. Stevenson, K.J. Chechkin, A.V. Palyulin, V.V. Center for Energy Science and Technology Skolkovo Institute of Science and Technology Moscow121205 Russia Chair of Semiconductors and Cryoelectronics and Quantum Technology Center Physics department Lomonosov Moscow State University Moscow119991 Russia Institute for Physics and Astronomy University of Potsdam Potsdam-GolmD-14476 Germany Akhiezer Institute for Theoretical Physics National Science Center Kharkov Institute of Physics and Technology" Kharkov61108 Ukraine Center for Computational and Data-intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow121205 Russia

We present a diffusion-based simulation model for explanation of long time power-law decay of photoluminescence (PL) emission intensity in semiconductor nanoplatelets. In our model the shape of emission curves is an outcome of interplay of recombination, diffusion and trapping of excitons. At short times the excitons diffuse freely following the normal diffusion behaviour. The emission decay is purely exponential and is defined by recombination. At long times the transition into the subdiffusive motion happens and the emission occurs due to the release of excitons from surface traps. A power-law tail for intensity is a consequence of the release. The crossover from onelimit to another is controlled by diffusion properties. The approach reproduces the properties of experimental curves measured for different nanoplatelet systems. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Excitons

Investigation of High-Precision Laser Instrument for Distance and Displacement Measurements

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Investigation of High-Precision Laser Instrument for Distanc...

Laser science, LS 2021 - Part of Frontiers in Optics, FiO 2021

作者： Minin, Iurii Bulatov, Igor Korobov, Nikita Dubrov, Mstislav Fedorov, Maxim Skoltech Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Bolshoy Boulevard 30 bld.1 Moscow121205 Russia Laboratory of Artificial Media and Structures Fryazino Branch of Kotel'nikov Institute of Radio-Engineering and Electronics of RAS Vvedenskiy sq. 1 Moscow Region Fryazino141190 Russia Phystech School of Radio Engineering and Computer Technology Moscow Institute of Physics and Technology Institutskiy per. 9 Dolgoprudny Moscow Region 141701 Russia

The novel high-precision measurement method was proposed. The considered method possesses laser-interferometric precision, does not require to move any external mirrors over full measuring basis, and can be applied to... 详细信息

ISBN: (纸本)9781557528209

关键词： Laser interferometry

A S I N G L E I M AG E D E E P L E A R N I N G A P P ROAC H TO R E S TO R AT I O N O F C O R RU P T E D R E M OT E S E N S I N G P RO D U C T S

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arXiv 2020年

作者： Petrovskaia, Anna Jana, Raghavendra B. Oseledets, Ivan V. Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow121205 Russia

Remote sensing images are used for a variety of analyses, from agricultural monitoring, to disaster relief, to resource planning, among others. The images can be corrupted due to a number of reasons, including instrument errors and natural obstacles such as clouds. We present here a novel approach for reconstruction of missing information in such cases using only the corrupted image as the input. The Deep Image Prior methodology eliminates the need for a pre-trained network or an image database. It is shown that the approach easily beats the performance of traditional single-image methods. Copyright © 2020, The Authors. All rights reserved.

关键词： Disaster prevention

Topology Optimizer for Inverse Design and Fabrication of Passive Photonic Integrated Components Using Weighted Target

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Topology Optimizer for Inverse Design and Fabrication of Pas...

Laser Applications Conference, LAC 2021 - Part of Laser Congress 2021

作者： Minin, Iurii Kazakov, Ivan Kontorov, Sergey Shipulin, Arkady Matveev, Sergey Fedorov, Maxim Skoltech Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Bolshoy Boulevard 30 bld.1 Moscow121205 Russia Skoltech Center for Photonics and Quantum Materials Skolkovo Institute of Science and Technology Bolshoy Boulevard 30 building 1 Moscow121205 Russia Faculty of Computational Mathematics and Cybernetics Lomonosov Moscow State University Leninskie Gory 1-52 2nd educational building 6th floor room 663 Moscow119991 Russia

We propose a novel approach optimizing passive photonic integrated component topology computations. It is based on Green’s Function Integral Equation method, utilizes weighted optimization methods and fast Toeplitz-l... 详细信息

ISBN: (纸本)9781557528209

关键词： Integral equations