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SSRN 2021年

作者： Coyle, Stephen Doss, Bryant Huo, Yucheng Singh, Hemang Raj Quinn, David Hsia, K. Jimmy LeDuc, Philip R. Department of Mechanical Engineering Carnegie Mellon University PittsburghPA United States School of Mechanical & Aerospace Engineering Nanyang Technological University Singapore School of Chemical & Biomedical Engineering Nanyang Technological University Singapore Department of Biomedical Engineering Carnegie Mellon University PittsburghPA United States Department of Biological Sciences Carnegie Mellon University PittsburghPA United States Department of Computational Biology Carnegie Mellon University PittsburghPA United States Department of Electrical and Computer Engineering Carnegie Mellon University PittsburghPA United States

Cell alignment is critical in numerous areas, from tissue engineering to biohybrid robotics. Cell alignment is modulated through many features including surface topographies, mechanical cues from cell-matrix interactions, and cell-cell interactions. In this study, we present our approach to examine the role of surface topographies and cell-cell interactions with respect to cell alignment. We developed an approach to create wavy surface topographies at the nanometer size scale, which when integrated with cell culture affects cell alignment. Within a defined range of wavelengths and amplitudes of the surface topographies, cell alignment is dependent on culture confluency. This cell alignment’s dependence on confluency suggests that cell-cell interactions related to alignment may be correlated to cell-matrix interactions. Thus, we inhibited N-cadherin related cell-cell interactions through introduced anti-N-cadherin while culturing cells on our controlled surface topographies. We found that when using anti-N-cadherin, cells on patterned surfaces required greater confluency to achieve the same alignment to cell culture not in the presence of the antibody. Our results will be important in numerous areas including tissue repair, cell differentiation, and biohybrid systems. © 2021, The Authors. All rights reserved.

关键词： Topography

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Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

arXiv

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arXiv 2021年

作者： Sharifrazi, Danial Alizadehsani, Roohallah Roshanzamir, Mohamad Joloudari, Javad Hassannataj Shoeibi, Afshin Jafari, Mahboobeh Hussain, Sadiq Sani, Zahra Alizadeh Hasanzadeh, Fereshteh Khozeimeh, Fahime Khosravi, Abbas Nahavandi, Saeid Panahiazar, Maryam Zare, Assef Shariful Islam, Sheikh Mohammed Rajendra, U. Acharya Department of Computer Engineering School of Technical and Engineering Shiraz Branch Islamic Azad University Shiraz Iran Deakin University Geelong Australia Department of Engineering Fasa Branch Islamic Azad University Post Box No 364 Fasa Fars*** Iran Department of Computer Engineering Faculty of Engineering University of Birjand Birjand Iran Computer Engineering Department Ferdowsi University of Mashhad Mashhad Iran Faculty of Electrical and Computer Engineering Biomedical Data Acquisition Lab K. N. Toosi University of Technology Tehran Iran Electrical and Computer Engineering Faculty Semnan University Semnan Iran System Administrator Dibrugarh University Assam786004 India Rajaie Cardiovascular Medical and Research Center Iran University of Medical Sciences Tehran Iran Omid hospital Iran University of Medical Sciences Tehran Iran Institute for Computational Health Sciences University of California San Francisco United States Faculty of Electrical Engineering Gonabad Branch Islamic Azad University Gonabad Iran Institute for Physical Activity and Nutrition Deakin University Melbourne Australia Cardiovascular Division The George Institute for Global Health Australia Sydney Medical School University of Sydney Australia Department of Electronics and Computer Engineering Ngee Ann Polytechnic Singapore Department of Biomedical Engineering School of Science and Technology Singapore University of Social Sciences Singapore Department of Bioinformatics and Medical Engineering Asia University Taiwan

The coronavirus (COVID-19) is currently the most common contagious disease which is prevalent all over the world. The main challenge of this disease is the primary diagnosis to prevent secondary infections and its spread from one person to another. Therefore, it is essential to use an automatic diagnosis system along with clinical procedures for the rapid diagnosis of COVID-19 to prevent its spread. Artificial intelligence techniques using computed tomography (CT) images of the lungs and chest radiography have the potential to obtain high diagnostic performance for Covid-19 diagnosis. In this study, a fusion of convolutional neural network (CNN), support vector machine (SVM), and Sobel filter is proposed to detect COVID-19 using X-ray images. A new X-ray image dataset was collected and subjected to high pass filter using a Sobel filter to obtain the edges of the images. Then these images are fed to CNN deep learning model followed by SVM classifier with ten-fold cross validation strategy. This method is designed so that it can learn with not many data. Our results show that the proposed CNN-SVM with Sobel filtering (CNN-SVM+Sobel) achieved the highest classification accuracy of 99.02% in accurate detection of COVID-19. It showed that using Sobel filter can improve the performance of CNN. Unlike most of the other researches, this method does not use a pre-trained network. We have also validated our developed model using six public databases and obtained the highest performance. Hence, our developed model is ready for clinical application. Copyright © 2021, The Authors. All rights reserved.

关键词： Data mining

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Comb-calibrated Raman Spectroscopy of Molecular Hydrogen

Comb-calibrated Raman Spectroscopy of Molecular Hydrogen

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Conference on Lasers and Electro-Optics Europe (CLEO EUROPE)

作者： Marco Lamperti Lucile Rutkowski Daniele Ronchetti Davide Gatti Riccardo Gotti Giulio Cerullo Franck Thibault Hubert Jóźwiak Szymon Wójtewicz Piotr Masłowski Piotr Wcisło Dario Polli Marco Marangoni Dipartimento di Fisica Politecnico di Milano and IFN-CNR Lecco Italy Department of Science and High Technology University of Insubria Como Italy Univ Rennes CNRS IPR (Institut de Physique de Rennes)-UMR 6251 Rennes France Department of Electrical Computer and Biomedical Engineering Universitá degli studi di Pavia Pavia Italy Faculty of Physics Institute of Physics Astronomy and Informatics Nicolaus Copernicus University Torun Poland

ISBN: (纸本)9798350345995

Molecular hydrogen and its isotopologues are key systems to test quantum electrodynamics (QED) at molecular length scales, as their energy levels can be calculated with high accuracy[1]. Comparison of the theoretical values with highly accurate experimental determinations of transition frequencies allows one to test QED and theories beyond the standard model of particle physics[2]. Recent accurate measurements of rovibrational frequencies of HD and D2, covering mostly the second overtone band, have shown a systematic deviation between measured and calculated transition frequencies. Yet, available measurements on H2 are characterized by uncertainties one order of magnitude larger than theory.

关键词： Frequency combs Frequency measurement Hydrogen Molecular spectroscopy Quantum electrodynamics Raman spectroscopy

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Effect of alginate and chitosan addition in the fabrication of polyvinyl alcohol-based matrix for tissue engineering applications

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AIP Conference Proceedings 2024年第1期3215卷

作者： Retno Wahyu Nurhayati Fatimah Azzahra Nuzli Fahdia Mazfufah Siti Fauziyah Rahman Wildan Mubarok Department of Chemical Engineering Faculty of Engineering Universitas Indonesia 16464 Depok Indonesia Research Center for Biomedical Engineering Faculty of Engineering Universitas Indonesia 16464 Depok Indonesia Stem Cells & Tissue Engineering Cluster Indonesian Medical Education and Research Institute Faculty of Medicine Universitas Indonesia Jakarta 10430 Indonesia Doctoral Program in Biomedical Sciences Faculty of Medicine Universitas Indonesia Jakarta 10430 Indonesia Department of Electrical Engineering Faculty of Engineering Universitas Indonesia 16464 Depok Indonesia Division of Chemical Engineering Department of Materials Engineering Science Graduate School of Engineering Science Osaka University 560-0031 Toyonaka Japan

Recently, there has been a growing interest in artificial skin on hydrogels as a potential alternative for animal testing to evaluate the efficacy and safety of new drugs or cosmetics. Synthetic polymers have been widely used due to their superior physicochemical properties. However, synthetic polymers such as polyvinyl alcohol (PVA) are limited by their poor biocompatibility and cell adhesion. Combining synthetic and natural polymers can improve these properties. Therefore, in this study, we aimed to investigate the effect of alginate and chitosan addition to PVA-based hydrogels on protein adsorption, cell viability and cell attachment. The addition of chitosan decreased protein adsorption, which was caused by the changes in electrostatic charge by PVA-chitosan interaction and changes in surface roughness. Primary human fibroblast cells cultured on PVA, PVA-alginate and PVA-chitosan had >80% viability which indicates the cytocompatibility of the hydrogels. More importantly, alginate and chitosan also improved the cell attachment on the PVA-based hydrogels. Taken together, the addition of both alginate and chitosan has the potential to improve PVA-based hydrogels for artificial skin application.

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Transverse acoustic spin and torque from pure spinning of objects

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Physical Review B 2021年第6期104卷 L060104-L060104页

作者： M. Farhat P.-Y. Chen M. Amin A. Alù Y. Wu Computer Electrical and Mathematical Science and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia Department of Electrical and Computer Engineering University of Illinois at Chicago Chicago Illinois 60607 USA College of Engineering Taibah University Madinah 42353 Saudi Arabia Photonics Initiative Advanced Science Research Center City University of New York New York New York 10031 USA Physics Program Graduate Center City University of New York New York New York 10016 USA

Acoustic spin has been recently explored for many applications. In particular, transverse acoustic spin was demonstrated for inhomogeneous acoustic fields. In this Letter, we show the emergence of acoustic spin and torque in rotating acoustic objects of the same physical properties as the surrounding, to single out the effects purely due to rotation. The spinning of a cylindrical column of air or water in the same medium possesses intrinsic spin angular momentum, and we study the torque and force it experiences in evanescent acoustic fields. The resulting discontinuity can thus scatter sound in unusual ways, including a negative radiation force, although it has no imaginary part in its parameters.

关键词： Acoustic interactions Acoustic metamaterials Acoustic wave phenomena Linear acoustics

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Retraction Note: An adaptive QoS computation for medical data processing in intelligent healthcare applications

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Neural Computing and Applications 2024年第17期36卷 10381-10381页

作者： Sodhro, Ali Hassan Malokani, Abdul Sattar Sodhro, Gul Hassan Muzammall, Muhammad Zongwei, Luo Electrical Engineering Department Sukkur IBA University Sukkur Pakistan IDA-Computer and Information Science Department Linkoping University Linköping Sweden Department of Biomedical Engineering Kyunghee University South Korea Suwon Korea Department of Physics Shah Abdul Latif University Khairpur Mirs Pakistan Department of Computer Science Bahria University Islamabad Pakistan Shenzhen Key Laboratory of Computational Intelligence Department of the Computer Science and Engineering Southern University of Science and Technology Shenzhen China

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Ptychographic lens-less polarization microscopy

arXiv

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arXiv 2022年

作者： Kim, Jeongsoo Song, Seungri Kim, Bora Park, Mirae Oh, Seung Jae Kim, Daesuk Cense, Barry Huh, Yong-Min Lee, Joo Yong Joo, Chulmin Department of Mechanical Engineering Yonsei University Seoul03722 Korea Republic of Department of Ophthalmology Asan Medical Center University of Ulsan College of Medicine Seoul05505 Korea Republic of Department of Radiology College of Medicine Yonsei University Seoul03722 Korea Republic of YUHS-KRIBB Medical Convergence Research Institute Seoul03722 Korea Republic of Department of Mechanical System Engineering Jeonbuk National University Jeonju54896 Korea Republic of Optical and Biomedical Engineering Laboratory Department of Electrical Electronic & Computer Engineering The University of Western Australia PerthWA6009 Australia Department of Biochemistry & Molecular Biology College of Medicine Yonsei University Seoul03722 Korea Republic of

Birefringence, an inherent characteristic of optically anisotropic materials, is widely utilized in various imaging applications ranging from material characterizations to clinical diagnosis. Polarized light microscopy enables high-resolution, high-contrast imaging of optically anisotropic specimens, but it is associated with mechanical rotations of polarizer/analyzer and relatively complex optical designs. Here, we present a novel form of polarization-sensitive microscopy capable of birefringence imaging of transparent objects without an optical lens and any moving parts. Our method exploits an optical mask-modulated polarization image sensor and single-input-state LED illumination design to obtain complex and birefringence images of the object via ptychographic phase retrieval. Using a camera with a pixel resolution of 3.45 µm, the method achieves birefringence imaging with a half-pitch resolution of 2.46 µm over a 59.74 mm2 field-of-view, which corresponds to a space-bandwidth product of 9.9 megapixels. We demonstrate the high-resolution, large-area birefringence imaging capability of our method by presenting the birefringence images of various anisotropic objects, including a birefringent resolution target, liquid crystal polymer depolarizer, monosodium urate crystal, and excised mouse eye and heart tissues. © 2022, CC BY.

关键词： Birefringence

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Maximum A-Posteriori Probability (MAP) Terahertz Parameter Extraction for Pancreatic Ductal Adenocarcinoma

Maximum A-Posteriori Probability (MAP) Terahertz Parameter E...

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International Conference on Infrared and Millimeter Waves

作者： Debamitra Chakraborty Bradley N. Mills Jing Cheng Scott A. Gerber Roman Sobolewski Materials Science Graduate Program University of Rochester Rochester New York USA Laboratory for Laser Energetics University of Rochester Rochester New York USA Department of Surgery University of Rochester Medical Center Rochester New York USA Department of Electrical and Computer Engineering University of Rochester Rochester New York USA

ISBN: (数字)9781728194271

ISBN: (纸本)9781728194288

We developed a maximum a-posteriori probability-based terahertz parameter extraction method to obtain tissue characteristics of paraffin-embedded murine pancreatic ductal adenocarcinoma samples. This estimation algorithm can produce conservative estimates of tissue parameters without resorting to frequency-domain analysis. We report well-resolved and statistically significant differences in tumor tissue regions as compared to their healthy counterparts using our parameters extraction algorithm. We propose to use the index of refraction and the absorption as imaging biomarker parameters for biological tissue characterization.

关键词： Maximum a posteriori estimation Absorption Frequency-domain analysis Biological tissues Refractive index Estimation Probability

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Single-Shot Readout of a Solid-State Spin in a Decoherence-Free Subspace

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Physical Review Applied 2021年第3期15卷 L031002-L031002页

作者： D. Farfurnik R. M. Pettit Z. Luo E. Waks Department of Electrical and Computer Engineering Institute for Research in Electronics and Applied Physics and Joint Quantum Institute University of Maryland College Park Maryland 20742 USA Intelligence Community Postdoctoral Research Fellowship Program University of Maryland College Park Maryland 20742 USA

The efficient single-photon-emission capabilities of quantum dot molecules position them as promising platforms for quantum information processing. Furthermore, quantum dot molecules feature a “decoherence-free” subspace that enables spin qubits with long coherence times. To efficiently read out the spin state within this subspace requires the optical cycling of isolated transitions that originate from a triplet manifold within the quantum dot molecule. We propose and theoretically study a two-stage spin-readout protocol within this decoherence-free subspace that allows single-shot readout performance. The process incorporates a microwave π pulse and optical cycling of the isolated transitions, which induces fluorescence that allows us to identify the initial spin state. This protocol offers enhanced readout fidelity compared to previous schemes that rely on the excitation of transitions that strongly decay to multiple ground states or require long initialization via slow optically forbidden transitions. By simulating the performance of the protocol, we show that an optimal spin-readout fidelity of over 97% and single-shot readout performance are achievable for a photon-collection efficiency of just 0.12%. This high readout performance for such realistic photon-collection conditions within the decoherence-free subspace expands the potential of quantum dot molecules as building blocks for quantum networks.

关键词： Optoelectronics Quantum information with solid state qubits Quantum networks Single photon sources Double quantum dots Coherent control Microwave techniques Quantum master equation

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Design of a Hybrid SMA-Pneumatic based Wearable Upper Limb Exoskeleton 25

Design of a Hybrid SMA-Pneumatic based Wearable Upper Limb E...

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25th ACM International Symposium on Wearable computers, ISWC 2021

作者： Golgouneh, Alireza Beaudette, Eric Woelfle, Heidi Li, Bai Subash, Niharikha Redhouse, Amanda Jones, Mark Martin, Tom Lobo, Michele Holschuh, Brad Dunne, Lucy Wearable Technology Lab University of Minnesota-Twin Cities United States Department of Physical Therapy and Biomechanics and Movement Science Program University of Delaware United States Department of Electrical and Computer Engineering Virginia Tech University United States

ISBN: (纸本)9781450384629

Upper limb mobility impairments affect individuals at all life stages. Exoskeletons can assist in rehabilitation as well as performing Activities of Daily Living (ADL). Most commercial assistive devices still rely on rigid robotics with constrained biomechanical degrees of freedom that may even increase user exertion. Therefore, this paper discusses the iterative design and development of a novel hybrid pneumatic actuation and Shape Memory Alloy (SMA) based wearable soft exoskeleton to assist in shoulder abduction and horizontal flexion/extension movements, with integrated soft strain sensing to track shoulder joint motion. The garment development was done in two stages which involved creating (1) SMA actuators integrated with soft sensing, and (2) integrating pneumatic actuation. The final soft exoskeleton design was developed based on the insights gained from two prior prototypes in terms of wearability, usability, comfort, and functional specifications (i.e., placement and number) of the sensors and actuators. The final exoskeleton is a modular, multilayer garment which uses a hybrid and customizable actuation strategy (SMA and inflatable pneumatic bladder). © 2021 Owner/Author.

关键词： Wearable technology

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