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Noninvasive Glucose Sensor Based on Parity-Time Symmetry

Physical Review Applied 2019年第4期11卷 044049-044049页

作者： Yun Jing Zhang Hoyeong Kwon Mohammad-Ali Miri Efthymios Kallos Helena Cano-Garcia Mei Song Tong Andrea Alu Department of Electrical and Computer Engineering The University of Texas at Austin Austin 78712 USA Department of Electronic Science and Technology Tongji University Shanghai 201804 China Department of Physics Queens College of the City University of New York Queens New York 11367 USA Physics Program Graduate Center City University of New York New York 10016 USA Medical Wireless Sensing Ltd London E1 2AX UK King’s College London London WC2R 2LS UK Photonics Initiative Advanced Science Research Center City University of New York New York 10031 USA Department of Electrical Engineering City College of The City University of New York New York 10031 USA

We discuss a noninvasive technique to detect glucose changes with enhanced sensitivity based on parity-time (PT) symmetry. We detect glucose level changes within the skin by measuring the frequency shift in the electromagnetic resonance induced within a PT-symmetric system that sandwiches the tissue sample under analysis. Even though the sample itself is lossy, and therefore, resonances would be damped, the introduction of balanced gain and loss enables an efficient sensing mechanism that bypasses the conventional limitations of passive sensing schemes. Our results indicate that the resonance shift can be made fairly linear with respect to the glucose concentration variations, and the expected accuracy is large. We also investigate a realistic system to implement the noninvasive PT-symmetric glucose sensor using loop antennas and negative impedance converters, exploring its sensitivity with respect to design errors and disorder.

关键词： Medical physics Optical parametric oscillators & amplifiers Optoelectronics Metamaterials Solid-state detectors PT-symmetry Microwave techniques Resonance techniques

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Light-Based Analog Computing Using a Single Array of Polarizable Particles 12

Light-Based Analog Computing Using a Single Array of Polariz...

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12th International Congress on Artificial Materials for Novel Wave Phenomena, METAMATERIALS 2018

作者： Rardi, Y. Alu, A. Department of Electrical and Computer Engineering University of Texas at Austin AustinTX78712 United States Photonics Initiative Advanced Science Research Center City University of New York New YorkNY10031 United States Physics Program Graduate Center City University of New York New YorkNY10016 United States Department of Electrical Engineering City College of New York New YorkNY10031 United States

ISBN: (纸本)9781538647028

Light-based signal processing in the spatial domain enables parallel computation, resulting in faster operations in comparison to digital-based systems. We propose a basic platform to realize spatial differentiation and integration of the impinging wavefront using a basic array of electric/magnetic dipoles. We also leverage bianisotropic inclusions to realize odd operations on the impinging wavefront. Our results show that a single array of polarizable particles enables sufficient degrees of freedom to realize optical analog computing using metasurfaces. © 2018 IEEE.

关键词： Wavefronts

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Kramers nodal lines in intercalated TaS2 superconductors

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Nature Communications 2025年第1期16卷 1-10页

作者： Zhang, Yichen Gao, Yuxiang Pulkkinen, Aki Guo, Xingyao Huang, Jianwei Guo, Yucheng Yue, Ziqin Oh, Ji Seop Moon, Alex Oudah, Mohamed Gao, Xue-Jian Marmodoro, Alberto Fedorov, Alexei Mo, Sung-Kwan Hashimoto, Makoto Lu, Donghui Rajapitamahuni, Anil Vescovo, Elio Kono, Junichiro Hallas, Alannah M. Birgeneau, Robert J. Balicas, Luis Minár, Ján Hosur, Pavan Law, Kam Tuen Morosan, Emilia Yi, Ming Department of Physics and Astronomy Rice University Houston 77005 TX United States New Technologies Research Center University of West Bohemia Plzen 301 00 Czech Republic Department of Physics Hong Kong University of Science and Technology Clear Water Bay Hong Kong Applied Physics Graduate Program Smalley-Curl Institute Rice University Houston 77005 TX United States Smalley-Curl Institute Rice University Houston 77005 TX United States Department of Physics University of California Berkeley Berkeley 94720 CA United States National High Magnetic Field Laboratory Tallahassee Tallahassee 32310 FL United States Physics Department Florida State University Tallahassee 32306 FL United States Stewart Blusson Quantum Matter Institute University of British Columbia Vancouver Vancouver V6T 1Z4 BC Canada Advanced Light Source Lawrence Berkeley National Laboratory Berkeley Berkeley 94720 CA United States Stanford Synchrotron Radiation Lightsource SLAC National Accelerator Laboratory 2575 Sand Hill Road Menlo Park 94025 CA United States National Synchrotron Light Source II Brookhaven National Lab Upton 11973 NY United States Rice Center for Quantum Materials Rice University Houston 77005 TX United States Department of Electrical and Computer Engineering Rice University Houston 77005 TX United States Department of Materials Science and NanoEngineering Rice University Houston 77005 TX United States Department of Physics & Astronomy University of British Columbia Vancouver Vancouver V6T 1Z1 BC Canada Canadian Institute for Advanced Research Toronto Toronto M5G 1M1 ON Canada Materials Science Division Lawrence Berkeley National Laboratory Berkeley Berkeley 94720 CA United States Department of Physics and Texas Center for Superconductivity University of Houston Houston 77204 TX United States

Kramers degeneracy is one fundamental embodiment of the quantum mechanical nature of particles with half-integer spin under time reversal symmetry. Under the chiral and noncentrosymmetric achiral crystalline symmetries, Kramers degeneracy emerges respectively as topological quasiparticles of Weyl fermions and Kramers nodal lines (KNLs), anchoring the Berry phase-related physics of electrons. However, an experimental demonstration for ideal KNLs well isolated at the Fermi level is lacking. Here, we establish a class of noncentrosymmetric achiral intercalated transition metal dichalcogenide superconductors with large Ising-type spin-orbit coupling, represented by InxTaS2, to host an ideal KNL phase. We provide evidence from angle-resolved photoemission spectroscopy with spin resolution, angle-dependent quantum oscillation measurements, and ab-initio calculations. Our work not only provides a realistic platform for realizing and tuning KNLs in layered materials, but also paves the way for exploring the interplay between KNLs and superconductivity, as well as applications pertaining to spintronics, valleytronics, and nonlinear transport. © The Author(s) 2025.

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Metagratings for Efficient Wavefront Manipulation 12

Metagratings for Efficient Wavefront Manipulation

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12th International Congress on Artificial Materials for Novel Wave Phenomena, METAMATERIALS 2018

ISBN: (纸本)9781538647028

Metagratings are two-dimensional periodic arrays of individual scatterers that enable highly-efficient extreme wave transformation which was impossible using conventional metasurfaces. We review our recent progress in this area and, notably, discuss metagrating designs based on asymmetric electric dipoles that are practically easier to realize compared to bianisotropic inclusions. In addition, we present the design of a tunable metagrating based on graphene strips. It will be shown that the proposed structure can provide multiple functionalities by tuning just two bias voltages. The efficiency of the proposed design is only limited by dissipation in graphene. © 2018 IEEE.

关键词： Graphene

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Author Correction: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

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Nature methods 2024年第10期21卷 1959页

作者： Linus Manubens-Gil Zhi Zhou Hanbo Chen Arvind Ramanathan Xiaoxiao Liu Yufeng Liu Alessandro Bria Todd Gillette Zongcai Ruan Jian Yang Miroslav Radojević Ting Zhao Li Cheng Lei Qu Siqi Liu Kristofer E Bouchard Lin Gu Weidong Cai Shuiwang Ji Badrinath Roysam Ching-Wei Wang Hongchuan Yu Amos Sironi Daniel Maxim Iascone Jie Zhou Erhan Bas Eduardo Conde-Sousa Paulo Aguiar Xiang Li Yujie Li Sumit Nanda Yuan Wang Leila Muresan Pascal Fua Bing Ye Hai-Yan He Jochen F Staiger Manuel Peter Daniel N Cox Michel Simonneau Marcel Oberlaender Gregory Jefferis Kei Ito Paloma Gonzalez-Bellido Jinhyun Kim Edwin Rubel Hollis T Cline Hongkui Zeng Aljoscha Nern Ann-Shyn Chiang Jianhua Yao Jane Roskams Rick Livesey Janine Stevens Tianming Liu Chinh Dang Yike Guo Ning Zhong Georgia Tourassi Sean Hill Michael Hawrylycz Christof Koch Erik Meijering Giorgio A Ascoli Hanchuan Peng Institute for Brain and Intelligence Southeast University Nanjing China. Microsoft Corporation Redmond WA USA. Tencent AI Lab Bellevue WA USA. Computing Environment and Life Sciences Directorate Argonne National Laboratory Lemont IL USA. Kaya Medical Seattle WA USA. University of Cassino and Southern Lazio Cassino Italy. Center for Neural Informatics Structures and Plasticity Krasnow Institute for Advanced Study George Mason University Fairfax VA USA. Faculty of Information Technology Beijing University of Technology Beijing China. Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China. Nuctech Netherlands Rotterdam the Netherlands. Janelia Research Campus Howard Hughes Medical Institute Ashburn VA USA. Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada. Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing Anhui University Hefei China. Paige AI New York NY USA. Scientific Data Division and Biological Systems and Engineering Division Lawrence Berkeley National Lab Berkeley CA USA. Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience UC Berkeley Berkeley CA USA. RIKEN AIP Tokyo Japan. Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Tokyo Japan. School of Computer Science University of Sydney Sydney New South Wales Australia. Texas A&M University College Station TX USA. Cullen College of Engineering University of Houston Houston TX USA. Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan. National Centre for Computer Animation Bournemouth University Poole UK. PROPHESEE Paris France. Department of Neuroscience Columbia University New York NY USA. Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University New York NY USA. Department of Computer Science Northern Illinois Universit

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Multi-UAVs communication for payload data link enhancement under asynchronous access

Multi-UAVs communication for payload data link enhancement u...

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International Conference on Wireless and Optical Communications ( WOCC)

作者： Yun-Ruei Li Hsin-Piao Lin Li-Chun Wang Abebe Belay Adege Li-Yong Chen Department of Electronic Engineering National Taipei University of Technology Taipei Taiwan Department of Electrical Engineering National Chiao Tung University Hsinchu Taiwan Department of International Graduate Program in Electrical Engineering and Computer Science (EECS) National Taipei University of Technology Taipei Taiwan

Recently, unmanned Aerial Vehicles (UAVs) are widely applied in civilian and commercial areas. In order to rapidly arrange the UAVs in a variable and changeable environment, the technique of maintaining stable and reliable communication link between Ground Control Station (GCS) and UAVs is one of the main issues [1]. However, UAVs deployment can significantly increase the efficiency of missions execution and the flexibility of task allocation. As discussed by different scholars, multi-UAVs have a number of advantages depending on the application areas: disaster areas monitoring, wireless sensor data collection in precision agriculture, and relay-aided of UAVs network topology [2].

关键词： OFDM Resource management Interference Wireless communication Payloads Bandwidth Optical filters

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Data mining technique with cluster anaysis use K-means algorithm for LQ45 index on Indonesia stock exchange 1

Data mining technique with cluster anaysis use K-means algor...

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1st International Conference on Information and Communications Technology, ICOIACT 2018

作者： Condrobimo, A. Raharto Abbas, Bahtiar Saleh Trisetyarso, Agung Suparta, Wayan Kang, Chul-Ho Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Information System Department School of Information System Bina Nusantara University Jakarta11480 Indonesia Civil Engineering Department University of Technology Yogyakarta Yogyakarta Indonesia Department of Electronic and Communication Engineering Kwangwoon University Korea Republic of

ISBN: (纸本)9781538609545

This study aims to apply data mining techniques with cluster analysis on stock data registered in LQ45 in Indonesia Stock Exchange. The cluster analysis used in this method is k-means algorithm, the data in this research is taken from Indonesia Stock Exchange. The cluster analysis in this study analyzed the characteristics of data volumes and stock values, while the results in this study were presented in the form of cluster members visually. Therefore, this cluster analysis in this research can be used for quick and efficient identifier for each member of LQ45 index cluster based on share value for each cluster and its volume. The identification results can be used by beginner-level investors that begun to be interested in stock investments to help make informed decisions about stock trading on desired cluster groups. © 2018 IEEE.

关键词： Cluster analysis

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An automatic nuclei segmentation method based on deep convolutional neural networks for histopathology images

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BMC biomedical engineering 2019年第1期1卷 24页

作者： Hwejin Jung Bilal Lodhi Jaewoo Kang Department of Computer Science and Engineering Korea University Seoul Republic of Korea. Interdisciplinary Graduate Program in Bioinformatics Korea University Seoul Republic of Korea.

BACKGROUND:Since nuclei segmentation in histopathology images can provide key information for identifying the presence or stage of a disease, the images need to be assessed carefully. However, color variation in histopathology images, and various structures of nuclei are two major obstacles in accurately segmenting and analyzing histopathology images. Several machine learning methods heavily rely on hand-crafted features which have limitations due to manual thresholding. RESULTS:To obtain robust results, deep learning based methods have been proposed. Deep convolutional neural networks (DCNN) used for automatically extracting features from raw image data have been proven to achieve great performance. Inspired by such achievements, we propose a nuclei segmentation method based on DCNNs. To normalize the color of histopathology images, we use a deep convolutional Gaussian mixture color normalization model which is able to cluster pixels while considering the structures of nuclei. To segment nuclei, we use Mask R-CNN which achieves state-of-the-art object segmentation performance in the field of computer vision. In addition, we perform multiple inference as a post-processing step to boost segmentation performance. We evaluate our segmentation method on two different datasets. The first dataset consists of histopathology images of various organ while the other consists histopathology images of the same organ. Performance of our segmentation method is measured in various experimental setups at the object-level and the pixel-level. In addition, we compare the performance of our method with that of existing state-of-the-art methods. The experimental results show that our nuclei segmentation method outperforms the existing methods. CONCLUSIONS:We propose a nuclei segmentation method based on DCNNs for histopathology images. The proposed method which uses Mask R-CNN with color normalization and multiple inference post-processing provides robust nuclei segmentation results. O

关键词： Convolutional neural network Deep learning Histopathology Image analysis Nuclei segmentation

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The microbiome diversifies long- to short-chain fatty acid-derived N-acyl lipids

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Cell 2025年

作者： Helena Mannochio-Russo Vincent Charron-Lamoureux Martijn van Faassen Santosh Lamichhane Wilhan D Gonçalves Nunes Victoria Deleray Adriana V Ayala Yuichiro Tanaka Abubaker Patan Kyle Vittali Prajit Rajkumar Yasin El Abiead Haoqi Nina Zhao Paulo Wender Portal Gomes Ipsita Mohanty Carlynda Lee Aidan Sund Meera Sharma Yuanhao Liu David Pattynama Gregory T Walker Grant J Norton Lora Khatib Mohammadsobhan S Andalibi Crystal X Wang Ronald J Ellis David J Moore Jennifer E Iudicello Donald Franklin Scott Letendre Loryn Chin Corinn Walker Simone Renwick Jasmine Zemlin Michael J Meehan Xinyang Song Dennis Kasper Zachary Burcham Jane J Kim Sejal Kadakia Manuela Raffatellu Lars Bode Hiutung Chu Karsten Zengler Mingxun Wang Dionicio Siegel Rob Knight Pieter C Dorrestein Skaggs School of Pharmacy and Pharmaceutical Sciences University of California San Diego La Jolla CA 92093 USA. Skaggs School of Pharmacy and Pharmaceutical Sciences University of California San Diego La Jolla CA 92093 USA Department of Laboratory Medicine University of Groningen University Medical Center Groningen 9713 GZ Groningen the Netherlands. Institute of Biomedicine Faculty of Medicine University of Turku & Turku Bioscience Center University of Turku and Åbo Akademi University 20520 Turku Finland. Department of Pathology University of California San Diego La Jolla CA 92093 USA. Division of Host-Microbe Systems & Therapeutics Department of Pediatrics University of California San Diego La Jolla CA 92093 USA. Department of Pediatrics University of California San Diego La Jolla CA 92093 USA Neurosciences Graduate Program University of California San Diego La Jolla CA 92093 USA. Department of Neurosciences University of California San Diego La Jolla CA 92093 USA Department of Psychiatry University of California San Diego La Jolla CA 92093 USA HIV Neurobehavioral Research Program University of California San Diego La Jolla CA 92093 USA. HIV Neurobehavioral Research Program University of California San Diego La Jolla CA 92093 USA Department of Medicine University of California San Diego La Jolla CA 92093 USA. Department of Bioengineering University of California San Diego La Jolla CA 92093 USA Center for Microbiome Innovation University of California San Diego La Jolla CA 92093 USA. Department of Pediatrics University of California San Diego La Jolla CA 92093 USA. Larsson-Rosenquist Foundation Mother-Milk-Infant Center of Research Excellence (MOMI CORE) and the Human Milk Institute (HMI) University of California San Diego La Jolla CA 92093 USA. Department of Immunology Harvard Medical School Boston MA 02115 USA Key Laboratory of Multi-Cell Systems Shanghai Institute of Biochemistry and Cell Biology Center for Excellence in

N-Acyl lipids are important mediators of several biological processes including immune function and stress response. To enhance the detection of N-acyl lipids with untargeted mass spectrometry-based metabolomics, we created a reference spectral library retrieving N-acyl lipid patterns from 2,700 public datasets, identifying 851 N-acyl lipids that were detected 356,542 times. 777 are not documented in lipid structural databases, with 18% of these derived from short-chain fatty acids and found in the digestive tract and other organs. Their levels varied with diet and microbial colonization and in people living with diabetes. We used the library to link microbial N-acyl lipids, including histamine and polyamine conjugates, to HIV status and cognitive impairment. This resource will enhance the annotation of these compounds in future studies to further the understanding of their roles in health and disease and to highlight the value of large-scale untargeted metabolomics data for metabolite discovery.

关键词： HIV MASST MassQL N-acyl lipids SCFA metabolomics data mining microbial neurocognitive impairment repository-scale analysis short-chain fatty acids

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Stakeholder Act as an IT and General Compliance Auditor

Stakeholder Act as an IT and General Compliance Auditor

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International Conference on Sustainable Information engineering and Technology (SIET)

作者： Surjandy Erick Fernando Meyliana Raymond Kosala Suhono Harso Supangkat Diani Dwiningrum Merry Marshela Angelica Renita Amalia Information Systems Audit Program Information Systems Department Bina Nusantara University Jakarta Indonesia Information Systems Departement Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9781538674086;9781538674079

Recently, the Indonesian government requires auditors, the need for auditors around 40,000 auditors in 2016, currently has only about 10,800 auditors, however, the lack of the auditors impacting the risk of financial loss for the state. Referring to the problem, this experimental research was conducted. The experiment of the research was conducted two times and the audit topic is a compliance audit in the year 2017 and year 2018. The goal of this research is to know, can the stakeholder act as an IT and general compliance auditor? The experiment was conducted by 8 university students in 2017 and 19 university students in 2018, and the supporting tools of audit activities the university student use the smartphone to capture the object as evidence. The experiment results with descriptive method show university students can act as an auditor and found several pieces of evidence that might cause future impact to the institution.

关键词： Regulation Stakeholders Companies Libraries Finance

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