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Author Correction: A high-performance neuroprosthesis for speech decoding and avatar control

Nature 2024年第8021期631卷 E13页

作者： Sean L Metzger Kaylo T Littlejohn Alexander B Silva David A Moses Margaret P Seaton Ran Wang Maximilian E Dougherty Jessie R Liu Peter Wu Michael A Berger Inga Zhuravleva Adelyn Tu-Chan Karunesh Ganguly Gopala K Anumanchipalli Edward F Chang Department of Neurological Surgery University of California San Francisco San Francisco CA USA. Weill Institute for Neuroscience University of California San Francisco San Francisco CA USA. University of California Berkeley-University of California San Francisco Graduate Program in Bioengineering Berkeley CA USA. Department of Electrical Engineering and Computer Sciences University of California Berkeley Berkeley CA USA. Speech Graphics Ltd Edinburgh UK. Department of Neurology University of California San Francisco San Francisco CA USA. Department of Neurological Surgery University of California San Francisco San Francisco CA USA. edward.chang@ucsf.edu. Weill Institute for Neuroscience University of California San Francisco San Francisco CA USA. edward.chang@ucsf.edu. University of California Berkeley-University of California San Francisco Graduate Program in Bioengineering Berkeley CA USA. edward.chang@ucsf.edu.

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Effect of Zeeman coupling on the Majorana vortex modes in iron-based topological superconductors

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Physical Review B 2020年第2期101卷 020504(R)-020504(R)页

作者： Areg Ghazaryan P. L. S. Lopes Pavan Hosur Matthew J. Gilbert Pouyan Ghaemi IST Austria (Institute of Science and Technology Austria) Am Campus 1 3400 Klosterneuburg Austria Stewart Blusson Quantum Matter Institute University of British Columbia Vancouver British Columbia Canada V6T 1Z4 Department of Physics University of Houston Houston Texas 77204 USA Micro and Nanotechnology Laboratory University of Illinois at Urbana-Champaign Urbana Illinois 61801 USA Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana Illinois 61801 USA Department of Electrical Engineering Stanford University Stanford California 94305 USA Physics Department City College of the City University of New York New York New York 10031 USA Physics Program Graduate Center of the City University of New York New York 10031 USA

In the superconducting regime of FeTe(1−x)Sex, there exist two types of vortices which are distinguished by the presence or absence of zero-energy states in their core. To understand their origin, we examine the interplay of Zeeman coupling and superconducting pairings in three-dimensional metals with band inversion. Weak Zeeman fields are found to suppress intraorbital spin-singlet pairing, known to localize the states at the ends of the vortices on the surface. On the other hand, an orbital-triplet pairing is shown to be stable against Zeeman interactions, but leads to delocalized zero-energy Majorana modes which extend through the vortex. In contrast, the finite-energy vortex modes remain localized at the vortex ends even when the pairing is of orbital-triplet form. Phenomenologically, this manifests as an observed disappearance of zero-bias peaks within the cores of topological vortices upon an increase of the applied magnetic field. The presence of magnetic impurities in FeTe(1−x)Sex, which are attracted to the vortices, would lead to such Zeeman-induced delocalization of Majorana modes in a fraction of vortices that capture a large enough number of magnetic impurities. Our results provide an explanation for the dichotomy between topological and nontopological vortices recently observed in FeTe(1−x)Sex.

关键词： Majorana bound states Topological superconductors Iron-based superconductors

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The Effect of Grounding Resistance about Back Flashover on 150 KV Tranmission Network in Main Station of Sungguminasa - Tallasa (Makassar)

The Effect of Grounding Resistance about Back Flashover on 1...

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International Conference on Computation in Science and engineering, ICCSE 2017

作者： Lembang, Naomi Manjang, Salama Kitta, Ikhlas Electrical Engineering Department Jl. Perintis Kemerdekaan KM. 10 Makassar Sulawesi Selatan90245 Indonesia Post Graduate Program of Hasanuddin University Jl. Perintis Kemerdekaan KM. 10 Makassar Sulawesi Selatan90245 Indonesia

Lightningsurge on transmission network is a natural problem that affecting electricity voltage. This impact on the occurrence of equipment damages as result of back flashover. Back flashover causes an impulse wave due to the increase of voltage on the transmission and has a large grounding resistance value. There has been a disturbance in the transmission system SULSELRABAR causing black out on Tuesday, January 19th, 2016 at 14:13 pm. The disturbance occurred along with the rain and strong winds accompanied by lightning which caused the load loss of 746 MW. The research was conducted to determine the occurrence of direct lightning strikes on each tower, the effect of grounding resistance to back flashover on150 kV transmission network in main station of Sungguminasa - Tallasa, using modeling simulation of peak menara transmission network 150 kV in main station of Sungguminasa - Tallasa with software ATPDraw (Alternative Transient program). The simulation results depicting one of the phase wire reach the peak current of 359.89 MA. In this condition occurs disruption that causing the impulse voltage and back flashover with disturbance current 22.65 kA. The large of grounding resistance has an average voltage exceeding the capacity limit from 1001.54 kV to 1042.31 kV. Based on the calculation, the impulse voltage obtained is 5.271 MV close to simulation result of ATPDraw(Alternative Transient program) by 4.530 MV. The calculation of the current wave when there is lightning disturbance in the transmission line with a peak current of 60 kA and the wave front time of 1 set, obtained the highest value that is on the tower 39 the grounding value of 5.4 Ω, the grounding value obtained reflection coefficient of -0.937 and insulator voltage at 957.036 kV, the results of this research held the measurement of tower 39 using Megger Det4tcr and obtained the grounding value on the tower feet of 12.22 and 9.97 ohm. What makes this case interesting is that the installation is located

关键词： Electric grounding

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Appropriateness of Water Hyacint and Rice Husk as Filler Materials for Resin Polymer Insulation

Appropriateness of Water Hyacint and Rice Husk as Filler Mat...

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International Conference on Computation in Science and engineering, ICCSE 2017

作者： Fitriah, Trisna Amelia Manjang, Salama Kitta, Ikhlas Electrical Engineering Department Jl. Perintis Kemerdekaan KM. 10 Makassar Sulawesi Selatan90245 Indonesia Post Graduate Program of Hasanuddin University Jl. Perintis Kemerdekaan KM. 10 Makassar Sulawesi Selatan90245 Indonesia

The use of natural fibers as a filler in the industry still continue to be developed, given its eco-friendly and contains material which is great. This research was conducted to find out the influence of boiled water and rice husk as filler material in epoxy resins. The making of the specimen using the method of hand lay-up with each variation of filler 10%-40% of the total weight of material test and the specimen without filler 0% for contrast. Polymer materials used i.e. epoxy resins. Testing is done namely pull-test, test volume resistivity and surface resistivity. Pull-test is performed using standard ASTM D-638 and resistivity test using standard ASTM D 257. The test results showed that the maximum volume resistivity values reached in the levels of water hyacinth 20% whereas on rice husk volume resistivity increase continues to occur until levels of 40% of the epoxy resins. Surface resistivity continues to increase in the levels of water hyacinth reaches 20% on epoxy resins as well as the addition of a filler rice husk. The tensile strength of the epoxy resins materials has decreased with the addition of water hyacinth and rice husk. The value of the maximum attainable tensile strength on the composition of the filler is 20%. With increasing levels of water hyacinth and rice husk in epoxy resins, the nature of the material brittle epoxy resins increase or an increase in the hardness of epoxy resin resulting in fragility. © Published under licence by IOP Publishing Ltd.

关键词： Epoxy resins

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Single Layer & Multi-layer Long Short-Term Memory (LSTM) Model with Intermediate Variables for Weather Forecasting 3

Single Layer & Multi-layer Long Short-Term Memory (LSTM) Mod...

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3rd International Conference on computer Science and Computational Intelligence, ICCSCI 2018

作者： Salman, Afan Galih Heryadi, Yaya Abdurahman, Edi Suparta, Wayan Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Department of Electrical Engineering Faculty of Science and Technology Sanata Dharma University Yogyakarta55282 Indonesia

Weather forecasting has gained attention many researchers from various research communities due to its effect to the global human life. The emerging deep learning techniques in the last decade coupled and the wide availability of massive weather observation data have motivated many researches to explore hidden hierarchical pattern in the large volume of weather dataset for weather forecasting. The purposes of this research are to build a robust and adaptive statistical model for forecasting univariate weather variable in Indonesian airport area and to explore the effect of intermediate weather variable related to accuracy prediction using single layer Long Short Memory Model (LSTM) model and multi layers LSTM model. The proposed forecasting model is an extension of LSTM model by adding intermediate variable signal into LSTM memory block. The premise is that two highly related patterns in input dataset will rectify the input patterns so make it easier for the model to learn and recognize the pattern from the training dataset. In an effort to achieve a robust model for learning and recognizing weather pattern, this research will also explore various architectures such as single layer LSTM and Multiple Layer LSTM (4 layers LSTM). The dataset is weather variable data collected by Weather Underground at Hang Nadim Indonesia airport. This research used visibility as predicted data and temperature, pressure, humidity, dew point as intermediates data. The best model of LSTM in this experiment is multiple layers LSTM and the best intermediate data is pressure variable. Using the pressure variable this model has gained the validation accuracy 0.8060 and RMSE 0.0775. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Long short-term memory

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Fluidic fabric muscle sheets for wearable and soft robotics

arXiv

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arXiv 2019年

作者： Zhu, Mengjia Do, Thanh Nho Hawkes, Elliot Visell, Yon Media Arts and Technology Program Department of Electrical and Computer Engineering California NanoSystems Institute Center for Polymers and Organic Solids University of California Santa Barbara United States Graduate School of Biomedical Engineering Faculty of Engineering University of New South Wales Sydney Australia Department of Mechanical Engineering University of California Santa Barbara United States

Conformable robotic systems are attractive for applications in which they can be used to actuate structures with large surface areas, to provide forces through wearable garments, or to realize autonomous robotic systems. We present a new family of soft actuators that we refer to as Fluidic Fabric Muscle Sheets (FFMS). They are composite fabric structures that integrate fluidic transmissions based on arrays of elastic tubes. These sheet-like actuators can strain, squeeze, bend, and conform to hard or soft objects of arbitrary shapes or sizes, including the human body. We show how to design and fabricate FFMS actuators via facile apparel engineering methods, including computerized sewing techniques. Together, these determine the distributions of stresses and strains that can be generated by the FFMS. We present a simple mathematical model that proves effective for predicting their performance. FFMS can operate at frequencies of 5 Hertz or more, achieve engineering strains exceeding 100%, and exert forces greater than 115 times their own weight. They can be safely used in intimate contact with the human body even when delivering stresses exceeding 106 Pascals. We demonstrate their versatility for actuating a variety of bodies or structures, and in configurations that perform multi-axis actuation, including bending and shape change. As we also show, FFMS can be used to exert forces on body tissues for wearable and biomedical applications. We demonstrate several potential use cases, including a miniature steerable robot, a glove for grasp assistance, garments for applying compression to the extremities, and devices for actuating small body regions or tissues via localized skin stretch. Copyright © 2019, The Authors. All rights reserved.

关键词： Elasticity

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scTenifoldXct: A semi-supervised method for predicting cell-cell interactions and mapping cellular communication graphs

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Cell systems 2023年第4期14卷 302-311.e4页

作者： Yongjian Yang Guanxun Li Yan Zhong Qian Xu Yu-Te Lin Cristhian Roman-Vicharra Robert S Chapkin James J Cai Department of Electrical and Computer Engineering Texas A&M University College Station TX 77843 USA. Department of Statistics Texas A&M University College Station TX 77843 USA. Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE School of Statistics East China Normal University 3663 North Zhongshan Road Shanghai 200062 China. Department of Veterinary Integrative Biosciences Texas A&M University College Station TX 77843 USA. Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan. Department of Nutrition and the Program in Integrative Nutrition & Complex Diseases Texas A&M University College Station TX 77843 USA. Electronic address: r-chapkin@tamu.edu. Department of Electrical and Computer Engineering Texas A&M University College Station TX 77843 USA Department of Veterinary Integrative Biosciences Texas A&M University College Station TX 77843 USA Interdisciplinary Program of Genetics Texas A&M University College Station TX 77843 USA. Electronic address: jcai@tamu.edu.

We present scTenifoldXct, a semi-supervised computational tool for detecting ligand-receptor (LR)-mediated cell-cell interactions and mapping cellular communication graphs. Our method is based on manifold alignment, using LR pairs as inter-data correspondences to embed ligand and receptor genes expressed in interacting cells into a unified latent space. Neural networks are employed to minimize the distance between corresponding genes while preserving the structure of gene regression networks. We apply scTenifoldXct to real datasets for testing and demonstrate that our method detects interactions with high consistency compared with other methods. More importantly, scTenifoldXct uncovers weak but biologically relevant interactions overlooked by other methods. We also demonstrate how scTenifoldXct can be used to compare different samples, such as healthy vs. diseased and wild type vs. knockout, to identify differential interactions, thereby revealing functional implications associated with changes in cellular communication status.

关键词： cell-cell interaction cellular communication gene regression network machine learning manifold alignment neural networks scRNA-seq single-cell RNA sequencing

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MO653: High-Flux Haemodialysis and Haemodiafiltration: A Comparative Study Based on 1-H NMR Serum Metabolic Profile

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Nephrology Dialysis Transplantation 2022年第SUPPLEMENT_3期37卷

作者： Flores Santos, Andressa Manfron Schiefer, Elberth Sassaki, Guilherme Menezes, Leociley Fonseca, Renato Cunha, Regiane Souza, Wesley Pecoits-Filho, Roberto Stinghen, Andréa E M Universidade Federal do Paraná Clinical Analysis Department Curitiba Brazil Universidade Tecnológica Federal do Paraná Graduate Program in Electrical and Computer Engineering Curitiba Brazil Universidade Federal do Paraná Biochemistry Department Curitiba Brazil Universidade Federal do Paraná Basic Pathology Department Curitiba Brazil Pontifícia Universidade Católica do Paraná Programa de Pós-Graduação em Ciências da Saúde Curitiba Brazil

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Aperture-Coupled Koch Fractal on-Chip Antennas for 60 GHz ISM Band

Aperture-Coupled Koch Fractal on-Chip Antennas for 60 GHz IS...

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IEEE MTT-S Latin America Microwave Conference (LAMC)

作者： Samuel Medeiros Araújo Morais Alexandre Jean René Serres Ivana Soares Guarany Raimundo Carlos da Silverio Freire Paulo Fernandes da Silva Ewaldo Elder Carvalho Santana Paulo Henrique da Fonseca Silva Post-Graduation Program in Electrical Engineering Federal University of Campina Grande Campina Grande Brazil Post-Graduation Program in Computer Engineering and Systems State University of Maranhão São Luis Brazil Post-Graduation Program in Electrical Engineering Federal Institute of Education Science and Technology of Paraíba João Pessoa Brazil

ISBN: (纸本)9781538673348;9781538673331

This paper presents Koch fractal aperture-coupled patch antennas operating in industrial scientific and medical band at 60 GHz (57 GHz to 64 GHz), for on-chip application. This work is the continuation of the development of aperture-coupled antennas with aperture and patch element built in 2 μm-thick aluminum lying on two layers of silicon with a height of 200 μm. The use of Koch fractal allowed the development of aperture-coupled antennas of greater perimeter with more metal in the patch elements, which promoted an increase in the gain. The observed gain for Koch fractal level 2 was of 10.55 dBi, with a bandwidth of 7.23 GHz, covering the ISM 60 GHz Band, and an increase of less than 10% in total patch dimension. For Koch fractal levels 0 (square), a polarization close to circular was achieved, with an axial ratio less than 6 at resonant frequencies.

关键词： Fractals Patch antennas Resonant frequency Aperture antennas Bandwidth Gain

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Author Correction: Cortical astrocytes modulate dominance behavior in male mice by regulating synaptic excitatory and inhibitory balance

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Nature neuroscience 2023年第12期26卷 2250页

作者： Kyungchul Noh Woo-Hyun Cho Byung Hun Lee Dong Wook Kim Yoo Sung Kim Keebum Park Minkyu Hwang Ellane Barcelon Yoon Kyung Cho C Justin Lee Bo-Eun Yoon Se-Young Choi Hye Yoon Park Sang Beom Jun Sung Joong Lee Department of Physiology and Neuroscience Dental Research Institute Seoul National University School of Dentistry Seoul Republic of Korea. Department of Physics and Astronomy Seoul National University Seoul Republic of Korea. Department of Molecular Biology Dankook University Cheonan Republic of Korea. Department of Electronic and Electrical Engineering Ewha Womans University Seoul Republic of Korea. Center for Cognition and Sociality Institute for Basic Science (IBS) Daejeon Republic of Korea. Department of Electrical and Computer Engineering University of Minnesota Minneapolis MN USA. Graduate Program in Smart Factory Ewha Womans University Seoul Republic of Korea. Department of Brain & Cognitive Sciences Ewha Womans University Seoul Republic of Korea. Department of Physiology and Neuroscience Dental Research Institute Seoul National University School of Dentistry Seoul Republic of Korea. sjlee87@snu.ac.kr.

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