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arXiv 2020年

作者： Al-Obiedollah, Haitham Cumanan, Kanapathippillai Thiyagalingam, Jeyarajan Tang, Jie Burr, Alister G. Ding, Zhiguo Dobre, Octavia A. Electrical Engineering Department Hashemite University Zarqa Jordan Department of Electronic Engineering University of York YorkYO10 5DD United Kingdom Scientific Computing Department of Rutherford Appleton Laboratory Science and Technology Facilities Council Harwell Campus Oxford United Kingdom School of Electronic and Information Engineering South China University of Technology Guangzhou China School of Electrical and Electronic Engineering University of Manchester Manchester United Kingdom Department of Electrical and Computer Engineering Memorial University St. JohnsNLA1B 3X5 Canada

Energy efficiency (EE) and spectral efficiency (SE) are two of the key performance metrics in future wireless networks, covering both design and operational requirements. For previous conventional resource allocation techniques, these two performance metrics have been considered in isolation, resulting in severe performance degradation in either of these metrics. Motivated by this problem, in this paper, we propose a novel beamforming design that jointly considers the trade-off between the two performance metrics in a multiple-input single-output non-orthogonal multiple access system. In particular, we formulate a joint SE-EE based design as a multi-objective optimization (MOO) problem to achieve a good trade-off between the two performance metrics. However, this MOO problem is not mathematically tractable and, thus, it is difficult to determine a feasible solution due to the conflicting objectives, where both need to be simultaneously optimized. To overcome this issue, we exploit a priori articulation scheme combined with the weighted sum approach. Using this, we reformulate the original MOO problem as a conventional single objective optimization (SOO) problem. In doing so, we develop an iterative algorithm to solve this non-convex SOO problem using the sequential convex approximation technique. Simulation results are provided to demonstrate the advantages and effectiveness of the proposed approach over the available beamforming designs. Copyright © 2020, The Authors. All rights reserved.

关键词： Beamforming

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Semantic web technologies for health data management 1

Semantic web technologies for health data management

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1st International Workshop on Semantic Web Technologies for Health Data Management, SWH 2018

作者： Kondylakis, Haridimos Rao, Praveen Stefanidis, Kostas Computational BioMedicine Laboratory Institute of Computer Science FORTH Greece Department of Computer Science and Electrical Engineering School of Computing and Engineering University of Missouri Kansas City United States Faculty of Natural Sciences University of Tampere Finland

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Magnetic Control of Soft Chiral Phonons in PbTe

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Physical Review Letters 2022年第7期128卷 075901-075901页

作者： Andrey Baydin Felix G. G. Hernandez Martin Rodriguez-Vega Anderson K. Okazaki Fuyang Tay G. Timothy Noe, II Ikufumi Katayama Jun Takeda Hiroyuki Nojiri Paulo H. O. Rappl Eduardo Abramof Gregory A. Fiete Junichiro Kono Department of Electrical and Computer Engineering Rice University Houston Texas 77005 USA Smalley-Curl Institute Rice University Houston Texas 77005 USA Instituto de Física Universidade de São Paulo São Paulo São Paulo 05508-090 Brazil Theoretical Division Los Alamos National Laboratory Los Alamos New Mexico 87545 USA Laboratório Associado de Sensores e Materiais Instituto Nacional de Pesquisas Espaciais São José dos Campos São Paulo 12201-970 Brazil Applied Physics Graduate Program Smalley-Curl Institute Rice University Houston Texas 77005 USA Department of Physics Graduate School of Engineering Science Yokohama National University Yokohama 240-8501 Japan Institute for Materials Research Tohoku University Sendai 980-8577 Japan Department of Physics Northeastern University Boston Massachusetts 02115 USA Department of Physics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Physics and Astronomy Rice University Houston Texas 77005 USA Department of Material Science and NanoEngineering Rice University Houston Texas 77005 USA

PbTe crystals have a soft transverse optical phonon mode in the terahertz frequency range, which is known to efficiently decay into heat-carrying acoustic phonons, resulting in anomalously low thermal conductivity. Here, we studied this phonon via polarization-dependent terahertz spectroscopy. We observed softening of this mode with decreasing temperature, indicative of incipient ferroelectricity, which we explain through a model including strong anharmonicity with a quartic displacement term. In magnetic fields up to 25 T, the phonon mode splits into two modes with opposite handedness, exhibiting circular dichroism. Their frequencies display Zeeman splitting together with an overall diamagnetic shift with increasing magnetic field. Using a group-theoretical approach, we demonstrate that these observations are the result of magnetic field-induced morphic changes in the crystal symmetries through the Lorentz force exerted on the lattice ions. Thus, our Letter reveals a novel process of controlling phonon properties in a soft ionic lattice by a strong magnetic field.

关键词： Chirality Diamagnetism Magneto-dielectric effect Optical phonons Thermal conductivity Zeeman effect Terahertz time-domain spectroscopy

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Consensus Statement on Brillouin Light Scattering Microscopy of Biological Materials

arXiv

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arXiv 2024年

作者： Bouvet, Pierre Bevilacqua, Carlo Ambekar, Yogeshwari Antonacci, Giuseppe Au, Joshua Caponi, Silvia Chagnon-Lessard, Sophie Czarske, Juergen Dehoux, Thomas Fioretto, Daniele Fu, Yujian Guck, Jochen Hamann, Thorsten Heinemann, Dag Jähnke, Torsten Jean-Ruel, Hubert Kabakova, Irina Koski, Kristie Koukourakis, Nektarios Krause, David La Cavera, Salvatore Landes, Timm Li, Jinhao Margueritat, Jeremie Mattarelli, Maurizio Monaghan, Michael Overby, Darryl R. Perez-Cota, Fernando Pontecorvo, Emanuele Prevedel, Robert Ruocco, Giancarlo Sandercock, John Scarcelli, Giuliano Scarponi, Filippo Testi, Claudia Török, Peter Vovard, Lucie Weninger, Wolfgang Yakovlev, Vladislav Yun, Seok-Hyun Zhang, Jitao Palombo, Francesca Bilenca, Alberto Elsayad, Kareem Center for Anatomy and Cell Biology Medical University of Vienna Austria Cell Biology and Biophysics Unit European Molecular Biology Laboratory Germany Fischell Department of Bioengineering University of Maryland United States Specto Srl. Milan Italy Unità di Perugia Italy LightMachinery Inc. Canada Departement of Electronics Carleton University Canada TU Dresden Germany Cluster of Excellence Physics of Life TU Dresden Germany Competence Center for Biomedical Computational Laser Systems TU Dresden Germany Institut Lumière Matière UMR5306 Université Lyon 1 CNRS Université de Lyon France Dipartimento di Fisica e Geologia Università di Perugia Italy Max Planck Institute for the Science of Light Erlangen Germany Department of Biology Norwegian University of Science and Technology Trondheim Norway Hannover Centre for Optical Technologies Leibniz University Hannover Germany CellSense Technologies GmbH Berlin Germany School of Mathematical and Physical Sciences University of Technology Sydney Australia Department of Chemistry University of California Davis United States Optics & Photonics Group Faculty of Engineering University of Nottingham United Kingdom Discipline of Mechanical Manufacturing & Biomedical Engineering Trinity College Dublin Ireland Department of Bioengineering Imperial College London United Kingdom CREST Optics S.p.A. Rome Italy Heidelberg Germany Center for Life Nano- & Neuro-Science Istituto Italiano di Tecnologia Rome Italy The Table Stable Ltd. Mettmenstetten Switzerland School of Physical & Mathematical Sciences Nanyang Technological University Singapore Nanyang Technological University Singapore Institute for Digital Molecular Analytics & Sciences Nanyang Technological University Singapore Department of Biomedical Engineering Texas A&M University United States Department of Electrical and Computer Engineering Texas A&M University United States Department of Physics and Astronomy Texas A&M University United States Harvard Me

Brillouin Light Scattering (BLS) spectroscopy is a non-invasive, non-contact, label-free optical technique that can provide information on the mechanical properties of a material on the sub-micron scale. Over the last decade it has seen increased applications in the life sciences, driven by the observed significance of mechanical properties in biological processes, the realization of more sensitive BLS spectrometers and its extension to an imaging modality. As with other spectroscopic techniques, BLS measurements not only detect signals characteristic of the investigated sample, but also of the experimental apparatus, and can be significantly affected by measurement conditions. The aim of this consensus statement is to improve the comparability of BLS studies by providing reporting recommendations for the measured parameters and detailing common artifacts. Given that most BLS studies of biological matter are still at proof-of-concept stages and use different-often self-built-spectrometers, a consensus statement is particularly timely to assure unified advancement. © 2024, CC BY.

关键词： Brillouin scattering

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Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis

arXiv

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arXiv 2020年

作者： Singh, Nalini M. Iglesias, Juan Eugenio Adalsteinsson, Elfar Dalca, Adrian V. Golland, Polina Computer Science and Artificial Intelligence Laboratory MIT CambridgeMA United States Dept. of Health Sciences & Technology MIT CambridgeMA United States A. A. Martinos Center Massachusetts General Hospital BostonMA United States Harvard Medical School CambridgeMA United States Centre for Medical Image Computing UCL London United Kingdom Research Laboratory of Electronics MIT CambridgeMA United States Dept. of Electrical Engineering & Computer Science MIT CambridgeMA United States

We propose neural network layers that explicitly combine frequency and image feature representations and show that they can be used as a versatile building block for reconstruction from frequency space data. Our work is motivated by the challenges arising in MRI acquisition where the signal is a corrupted Fourier transform of the desired image. The proposed joint learning schemes enable both correction of artifacts native to the frequency space and manipulation of image space representations to reconstruct coherent image structures at every layer of the network. This is in contrast to most current deep learning approaches for image reconstruction that treat frequency and image space features separately and often operate exclusively in one of the two spaces. We demonstrate the advantages of joint convolutional learning for a variety of tasks, including motion correction, denoising, reconstruction from undersampled acquisitions, and combined undersampling and motion correction on simulated and real world multicoil MRI data. The joint models produce consistently high quality output images across all tasks and datasets. When integrated into a state of the art unrolled optimization network with physics-inspired data consistency constraints for undersampled reconstruction, the proposed architectures significantly improve the optimization landscape, which yields an order of magnitude reduction of training time. This result suggests that joint representations are particularly well suited for MRI signals in deep learning networks. Our code and pretrained models are publicly available at https://***/nalinimsingh/interlacer. Copyright © 2020, The Authors. All rights reserved.

关键词： Magnetic resonance imaging

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Fabrication of highly reliable joint based on Cu/Ni/Sn double-layer powder for high temperature application

Fabrication of highly reliable joint based on Cu/Ni/Sn doubl...

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作者： Xu, Hongyan Shen, Yaochun Hu, Yihua Li, Jianqiang Xu, Ju Beijing Engineering Laboratory of Electrical Drive System and Power Electronic Device Packaging Technology Micro-Nano Fabrication Technology Department Institute of Electronic Engineering Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China School of Electrical Engineering Electronics and Computer Science University of Liverpool Brownlow Hill LiverpoolL69 3GJ United Kingdom State Key Laboratory of Multiphase Complex System Institute of Process Engineering Chinese Academy of Sciences Beijing100190 China

A highly reliable three-dimensional network structure joint was fabricated based on Cu/Ni/Sn powder with double-layer coatings and transient liquid phase bonding (TLPB) technology for high temperature application. The Cu/Ni/Sn joint is characterized by Cu metal particles embedded in the matrix of (Cu,Ni)6Sn5/Ni3Sn4 intermetallic compounds (IMCs), with a low void ratio, and can be reflowed at low temperatures (6Sn5/ Ni3Sn4 IMCs, and the Cu/Ni/Sn joint had a lower void ratio and a higher shear strength than those of Cu/Sn. The mechanism of the Ni-coating layer inhibiting phase transformation was studied. The high reliable three-dimensional network structure joint based on Cu/Ni/Sn double-layer powder was fabricated for high temperature application. Copyright © International Microelectronics Assembly and Packaging Society

关键词： High temperature applications

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Front Cover: AuNP-Modulated qPCR: An Optimized System for Detecting MIR Biophotons Released in DNA Replication (Chem. Eur. J. 8/2023)

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Chemistry – A European Journal 2023年第8期29卷

作者： Yu Yang Prof. Dr. Daoling Peng Prof. Dr. Zhenglong Gu Prof. Dr. Lei Jiang Prof. Dr. Bo Song State Key Laboratory of Genetic Engineering Collaborative Innovation Center of Genetics and Development School of Life Sciences Fudan University 200438 Shanghai P. R. China Key Laboratory of Theoretical Chemistry of Environment Ministry of Education School of Environment South China Normal University 510006 Guangzhou P. R. China Key Laboratory of Optical Technology and Instrument for Medicine Ministry of Education Shanghai Key Lab of Modern Optical System School of Optical-Electrical Computer Engineering University of Shanghai for Science and Technology 200093 Shanghai P. R. China Key Laboratory of Bio-inspired Materials and Interfacial Science Technical Institute of Physics and Chemistry Chinese Academy of Sciences 100190 Beijing P. R. China School of Future Technology University of Chinese Academy of Sciences 100049 Beijing P. R. China

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Filter sketch for network pruning

arXiv

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arXiv 2020年

作者： Lin, Mingbao Cao, Liujuan Li, Shaojie Ye, Qixiang Tian, Yonghong Liu, Jianzhuang Tian, Qi Ji, Rongrong The Media Analytics and Computing Laboratory Department of Artificial Intelligence School of Informatics Xiamen University Xiamen361005 China The Fujian Key Laboratory of Sensing and Computing for Smart City Computer Science Department School of Informatics Xiamen University Xiamen361005 China Institute of Artificial Intelligence Xiamen University Xiamen361005 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing101408 China The School of Electronics Engineering and Computer Science Peking University Beijing100871 China The Noah's Ark Lab Huawei Technologies Co. Ltd. Shenzhen518129 China Cloud BU Huawei Technologies Co. Ltd. Shenzhen518129 China

We propose a novel network pruning approach by information preserving of pre-trained network weights (filters). Network pruning with the information preserving is formulated as a matrix sketch problem, which is efficiently solved by the off-the-shelf Frequent Direction method. Our approach, referred to as FilterSketch, encodes the second-order information of pre-trained weights, which enables the representation capacity of pruned networks to be recovered with a simple fine-tuning procedure. FilterSketch requires neither training from scratch nor data-driven iterative optimization, leading to a several-orders-of-magnitude reduction of time cost in the optimization of pruning. Experiments on CIFAR-10 show that FilterSketch reduces 63.3% of FLOPs and prunes 59.9% of network parameters with negligible accuracy cost for ResNet-110. On ILSVRC-2012, it reduces 45.5% of FLOPs and removes 43.0% of parameters with only 0.69% accuracy drop for ResNet-50. Our code and pruned models can be found at https://***/lmbxmu/FilterSketch. Copyright © 2020, The Authors. All rights reserved.

关键词： Machine learning

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Ultra-flat dispersion in an integrated waveguide with five and six zero-dispersion wavelengths for mid-infrared photonics

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Photonics Research 2019年第11期7卷 1279-1286页

作者： Yuhao Guo Zeinab Jafari Lijuan Xu Changjing Bao Peicheng Liao Guifang Li Anuradha M.Agarwal Lionel C.Kimerling Jurgen Michel Alan E.Willner Lin Zhang Key Laboratory of Opto-electronic Information Technical Science of Ministry of Education and Key Laboratory of Integrated Opto-electronic Technologies and Devices in Tianjin School of Precision Instruments and Opto-electronics EngineeringTianjin UniversityTianjin 300072China School of Computer and Electrical Engineering Shiraz UniversityShirazFarsIran School of Electronic Engineering Tianjin University of Technology and EducationTianjin 300222China Department of Electrical Engineering University of Southern CaliforniaLos AngelesCalifornia 90089USA College of Optics and Photonics CREOL and FPCEUniversity of Central FloridaOrlandoFlorida 32816USA Department of Materials Science and Engineering Massachusetts Institute of TechnologyCambridgeMassachusetts 02139USA

We propose a new type of dispersion flattening technology, which can generate an ultra-flat group velocity dispersion profile with five and six zero-dispersion wavelengths(ZDWs). The dispersion value varies from-0.15 to 0.35 ps/(nm·km) from 4 to 8 μm, which to the best of our knowledge is the flattest one reported so far, and the dispersion flatness is improved by more than an order of magnitude. We explain the principle of producing six ZDWs. Mode distribution in this waveguide is made stable over a wide bandwidth. General guidelines to systematically control the dispersion value, sign, and slope are provided, and one can achieve the desired dispersion by properly adjusting the structural parameters. Fabrication tolerance of this waveguide is also examined.

关键词： waveguide dispersion flat

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Morphological and electrical studies of Hf0.5Zr0.5O2 electroceramics

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AIP Conference Proceedings 2023年第1期2800卷

作者： Urvashi Sharma Gulshan Kumar Sachin Mishra Ashok Kumar Reji Thomas School of Electronics and Electrical Engineering Lovely Professional University Jalandhar-Delhi G.T. Road Punjab-144411 India Division of Research and Development Lovely Professional University Jalandhar-Delhi G.T. Road Punjab-144411 India School of Computer Science and Engineering Lovely Professional University Jalandhar-Delhi G.T. Road Punjab-144411 India CSIR-National Physical Laboratory Dr. Krishnan Marg New Delhi 110012 India School of Chemical Engineering and Physical Sciences Lovely Professional University Jalandhar-Delhi G.T. Road Punjab-144411 India

The conventional solid-state reaction route has been utilized to synthesize Hf0.5Zr0.5O2 ceramics. The surface morphology and structural properties are studied using scanning electron microscopy and X-ray diffraction patterns, respectively. The X-ray diffraction patterns show sharp and intense peaks explaining better crystallinity of compositional ceramic. The peak splitting around 31.7° confirms the tetragonal phase. The electrical measurements have been carried out on metal-ferroelectric-metal (MFM) capacitors. The calculated dielectric constant is around 26 at 1 MHz. The hopping of electrons over the trap centers leads to the ac conduction at a low field. Jonscher’s power model justified the ac conductivity curve, and attained data are fitted accordingly. The polarization and coercive field decrease initially with the rise of measurement frequency and later increased with frequency. The ferroelectric hysteresis loop generally observed in the thin films of Hf0.5Zr0.5O2 has not seen the polarization-electric field curve of bulk Hf0.5Zr0.5O2.

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