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COVID TCL:A Joint Metric Loss Function for Diagnosing COVID-19 Patient in the Early and Incubation Period

computer Systems science & Engineering 2023年第10期47卷 187-204页

作者： Rui Wen Jie Zhou Zhongliang Shen Xiaorui Zhang Sunil Kumar Jha Department of Electromechanical Engineering Zhejiang Business Technology InstituteNingbo315012China Engineering Research Center of Digital Forensics Ministry of EducationJiangsu Engineering Center of Network MonitoringSchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China Wuxi Research Institute Nanjing University of Information Science&TechnologyWuxi214100China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) Nanjing University of Information Science&TechnologyNanjing210044China Department of Physics Faculty of ScienceAdani UniversityAhmedabadIndia

Convolution Neural Networks(CNN)can quickly diagnose COVID-19 patients by analyzing computed tomography(CT)images of the lung,thereby effectively preventing the spread of ***,the existing CNN-based COVID-19 diagnosis models do consider the problem that the lung images of COVID-19 patients in the early stage and incubation period are extremely similar to those of the non-COVID-19 *** reduces the model’s classification sensitivity,resulting in a higher probability of the model misdiagnosing COVID-19 patients as non-COVID-19 *** solve the problem,this paper first attempts to apply triplet loss and center loss to the field of COVID-19 image classification,combining softmax loss to design a jointly supervised metric loss function COVID Triplet-Center Loss(COVID-TCL).Triplet loss can increase inter-class discreteness,and center loss can improve intra-class ***,COVID-TCL can help the CNN-based model to extract more discriminative features and strengthen the diagnostic capacity of COVID-19 patients in the early stage and incubation ***,we use the extreme gradient boosting(XGBoost)as a classifier to design a COVID-19 images classification model of CNN-XGBoost architecture,to further improve the CNN-based model’s classification effect and operation *** experiment shows that the classification accuracy of the model proposed in this paper is 97.41%,and the sensitivity is 97.61%,which is higher than the other 7 reference *** COVID-TCL can effectively improve the classification sensitivity of the CNN-based model,the CNN-XGBoost architecture can further improve the CNN-based model’s classification effect.

关键词： Covid-19 diagnose convolutional neural networks XGBoost COVID triplet-center loss early and incubation COVID-19 patients

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Bulk-boundary correspondence from hyperinvariant tensor networks

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Physical Review D 2025年第2期111卷 026006-026006页

作者： Rafał Bistroń Mykhailo Hontarenko Karol Życzkowski Institute of Theoretical Physics Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University ul. Łojasiewicza 11 30-348 Kraków Poland Doctoral School of Exact and Natural Sciences Jagiellonian University ul. Łojasiewicza 11 30-348 Kraków Poland Center for Theoretical Physics (CFT) Polish Academy of Sciences Al. Lotników 32/46 02-668 Warszawa Poland

We introduce a tensor network designed to faithfully simulate the AdS/CFT correspondence, akin to the multiscale entanglement renormalization ansatz (MERA), following hyperinvariant tensor network. The proposed construction integrates bulk indices within the network architecture to uphold the key features of the HAPPY code, including complementary recovery. This framework accurately reproduces the boundary conformal field theory’s (CFT) two- and three-point correlation functions, while considering the image of any bulk operator. Furthermore, we provide an explicit methodology for calculating the correlation functions in an efficient manner. Our findings highlight the physical aspects of the relation between bulk and boundary within the tensor network models, contributing to the understanding and simulation of holographic principles in quantum information.

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Grain Stresses and Critical Resolved Shear Stresses in Duplex Steel Studied Using Neutron Diffraction and Crystallite Group Method

SSRN

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SSRN 2024年

作者： Baczmański, Andrzej Wroński, Sebastian François, Manuel Le Joncour, Léa Panicaud, Benoit Braham, Chedly Ludwik, Aleksandra Wierzbanowski, Krzysztof Klosek, Vincent AGH University of Kraków Faculty of Physics and Applied Computer Science al. Mickiewicza 30 Kraków30-059 Poland 12 rue Marie Curie Troyes10010 France PIMM 151 Bd de l’Hôpital 75013 Paris France CEA IRAMIS Laboratoire Léon Brillouin Gif-sur-Yvette91191 Cedex France

In this work, a new method for analysis of neutron diffraction results obtained during in situ tensile load is tested and applied to study elastic-plastic properties of textured duplex steel. The methodology is based on the measurements of lattice strains for several hkl reflections and for different orientations of the sample with respect to the scattering vector. As the result, the full stress tensor for preferred texture orientations in function of applied stress has been determined using the crystallite group method (CGM). Knowing the experimental values of stresses, the stress concentration tensor is determined. The experimental data are then compared with self-consistent model calculations performed for groups of grains corresponding to the measured hkl reflections. The important advance of the proposed experimental methodology consists in the possibility of estimating the critical resolved shear stresses (CRSSs) directly from measurements, without the use of any elastic-plastic *** the research carried out, on the basis of diffraction measurements, the evolution of grain stresses in preferred orientations in the ferritic and austenitic phases of the tested duplex steel was determined. Using these data, the evolution of the resolved shear stress (RSS) was analysed and, for the first time, CRSS values in both duplex phases were obtained directly from the experimental data. The final results also took into account the influence of initial stresses in the obtained material on the determined CRSSs. © 2024, The Authors. All rights reserved.

关键词： Neutron diffraction

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Silicon carbide-graphene nanocomposite electrodes for enhanced desalination via capacitive deionization

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Ceramics International 2025年

作者： Yousef, Ayman Hameed, R.M. Abdel Maafa, Ibrahim M. Abutaleb, Ahmed El-Halwany, M.M. Department of Chemical Engineering College of Engineering and Computer Sciences Jazan University Jazan45142 Saudi Arabia Chemistry Department Faculty of Science Cairo University Giza Egypt Engineering and Technology Research Center Jazan University P.O.Box 114 Jazan82817 Saudi Arabia Department of Mathematics and Physics Engineering Faculty of Engineering Mansoura University El-Mansoura Egypt Faculty of Engineering Mansoura National University Egypt

Graphene nanoflakes [GNFs] were ultrasonically modified with silicon carbide nanopowder with subsequent hydrothermal heating at 120 °C. A number of these SC-GNFs nanocomposites was fabricated based on altering their metallic carbide content [5, 10 and 15 wt%] in relation to that of carbonaceous substrate. The chemical composition, morphology and interaction with water droplets of SC-GNFs nanostructures were examined using suitable physical characterization tools. The ability of these carbide containing graphene nanomaterials to desalinate water samples was evaluated through varied electrochemical measurements. Outstanding specific capacitances could be measured at different SC-GNFs nanocomposites when related to those of bare components of SiC and GNFs. Incorporating 10 wt% SiC between graphene nanoflakes could significantly promote their capacitance by about nine folds. Galvanostatic charge-discharge experiments of SC-GNFs nanocomposite revealed good stability attitude within longer periods. Increased salt removal efficiencies were also demonstrated at all SC-GNFs nanopowders up to 83.33 % when contrasted to those of SiC [10.42 %] and GNFs [12.50 %]. These findings at graphene nanoflakes surfaces after their treatment with SiC nanoparticles might suggest further studies for relevant metallic carbides onto convenient carbonaceous based supports for valuable CDI systems. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Deionized water

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Trustworthy Cyber-Physical Power Systems Using Ai: Dueling Algorithms for Pmu Anomaly Detection and Cybersecurity

SSRN

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SSRN 2024年

作者： Cali, Umit Catak, Ferhat Ozgur Halden, Ugur University of York School of Physics Engineering and Technology Heslington YorkYO10 5DD United Kingdom University of Stavanger The Faculty of Science and Technology Department of Computer and Electrical Technology Kjell Arholms gate 41 Stavanger4021 Norway Norwegian University of Science and Technology Department of Electric Energy O. S. Bragstads plass 2E Trondheim7034 Norway

Energy systems require radical changes due to the conflicting needs of combating climate change and meeting rising energy demands. These revolutionary decentralization, decarbonization, and digitalization techniques have ushered in a new global energy paradigm. Waves of disruption have been felt across the electricity industry as the digitalization journey in this sector has converged with advances in artificial intelligence (AI). However, there are risks involved. As AI becomes more established, new security threats have emerged. Among the most important is the cyber-physical protection of critical infrastructure, such as the power grid. This article focuses on dueling AI algorithms designed to investigate the trustworthiness of power systems' cyber-physical security under various scenarios using the Phasor Measurement Units (PMU) use case. Particularly in PMU operations, the focus is on areas that manage sensitive data vital to power system operators' activities. The initial stage deals with anomaly detection applied to energy systems and PMUs, while the subsequent stage examines adversarial attacks targeting AI models. At this stage, evaluations of the Madry attack, Basic Iterative Method (BIM), Momentum Iterative Method (MIM), and Projected Gradient Descend (PGD) are carried out, which are all powerful adversarial techniques that may compromise anomaly detection methods. The final stage addresses mitigation methods for AI-based cyberattacks. All these three stages represent various uses of AI and constitute the dueling AI algorithm convention that is conceptualised and demonstrated in this work. According to the findings of this study, it is essential to investigate the trade-off between the accuracy of AI-based anomaly detection models and their digital immutability against potential cyberphysical attacks in terms of trustworthiness for the critical infrastructure under consideration. © 2024, The Authors. All rights reserved.

关键词： Cybersecurity

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Design of Ultra-Wideband Antipodal Vivaldi Antenna with Improving Impedance Matching using Elliptical Stub for GPR Applications

Design of Ultra-Wideband Antipodal Vivaldi Antenna with Impr...

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13th International Electrical Engineering Congress, iEECON 2025

作者： Sangpet, Patchadaporn Chanwattanapong, Wanchalerm Sangmook, Chayapol Mahatthanajatuphat, Chatree Jangjing, Thinnawat Chudpooti, Nonchanutt Rakluea, Paitoon Wongsin, Norakamon Thanyaburi Pathum Thani 12110 Thailand King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering 1518 Pracharat 1 Rd.Wongsawang Bangsue Bangkok10800 Thailand King Mongkut's University of Technology North Bangkok Faculty of Applied Science Department of Industrial Physics and Medical Instrumentation 1518 Pracharat 1 Rd.Wongsawang Bangsue Bangkok10800 Thailand

ISBN: (纸本)9798331543952

This paper presents the design of an Antipodal Vivaldi Antenna (AVA) including open elliptical stubs on either side to improve impedance matching at lower frequencies. The stubs further serve as reflectors at 300 MHz, significantly enhancing the antenna gain across the specified frequency ranges. The Antipodal Vivaldi Antenna, measuring 552 × 700 × 1.6 mm3, is analyzed and evaluated to determine its characteristics. It possesses ultra-wideband characteristics, providing it suitable for signal exploration systems, and operates effectively throughout the 298-3000 MHz frequency range, which corresponds to the frequencies utilized by GPR technology. The suggested antenna demonstrates directed radiation patterns at all operational frequencies, achieving an average gain of 8.5 dBi. © 2025 IEEE.

关键词： Antenna reflectors

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Regarding on the Results for the Fractional Clannish Random Walker's Parabolic Equation and the Nonlinear Fractional Cahn-Allen Equation

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ADVANCES IN MATHEMATICAL physics 2022年第0期2022卷

作者： Alam, Md. Nur Ilhan, Onur Alp Uddin, Md. Sabur Rahim, Md. Abdur Department of Mathematics Pabna University of Science & Technology Pabna-6600 Bangladesh Faculty of Education Erciyes University 38039-Melikgazi-Kayseri Turkey Department of Applied Mathematics Gono Bishwabidyalay Savar Dhaka-1344 Bangladesh Department of Computer Science and Engineering Pabna University of Science and Technology Pabna-6600 Bangladesh

In this research, the (psi,phi)-expansion scheme has been implemented for the exact solutions of the fractional Clannish Random Walker's parabolic (FCRWP) equation and the nonlinear fractional Cahn-Allen (NFCA) equation. Some new solutions of the FCRWP equation and the NFCA equation have been obtained by using this method. The diverse variety of exact outcomes such as intersection between rough wave and kinky soliton wave profiles, intersection between lump wave and kinky soliton wave profiles, soliton wave profiles, kink wave profiles, intersection between lump wave and periodic wave profiles, intersection between rough wave and periodic wave profiles, periodic wave profiles, and kink wave profiles are taken. Comparing our developed answers and that got in previously written research papers presents the novelty of our investigation. The above techniques could also be employed to get exact solutions for other fractional nonlinear models in physics, applied mathematics, and engineering.

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Distribution of telecom entangled photons through a 7.7 kmantiresonant hollow-core fiber

Optica Quantum

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Optica Quantum 2024年第3期2卷 173-180页

作者： Michael Antesberger Carla M. D. Richter Francesco Poletti Radan Slavík Periklis Petropoulos Hannes Hübel Alessandro Trenti Philip Walther Lee A. Rozema University of Vienna Faculty of Physics Vienna Center for Quantum Science and Technology (VCQ) Austria Research Platform for Testing the Quantum Gravity Interface (TURIS) University of Viennahttps://***/03prydq77 Austria Optoelectronics Research Centre University of Southampton Southampton UK AIT Austrian Institute of Technology Vienna Austria Christian Doppler Laboratory for Photonic Quantum Computer University of Vienna Austria

State of the art classical and quantum communications rely on standardoptical fibers with solid cores to transmit light over long ***, recent advances have led to the emergence of antiresonanthollow-core optical fibers (AR-HCFs), which, due to the novel fibergeometry, show remarkable optical guiding properties, which are not aslimited by the material properties as solid-core fibers. In thispaper, we explore the transmission of entangled photons through anovel 7.7 km AR-HCF in a laboratory environment at 1550 nm, presentingthe first successful demonstration of entanglement distribution via along AR-HCF. In addition to showing these novel fibers are compatiblewith long distance quantum communication, we highlight the low latencyand low chromatic dispersion intrinsic to AR-HCF, which can increasethe secure key rate in time-bin-based quantum key *** by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License . Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

关键词： Material properties Optical properties Quantum communications Quantum computation Quantum dots Quantum key distribution

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Higher-Order Process Matrix Tomography of a Passively-Stable Quantum Switch

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PRX Quantum 2024年第1期5卷 010325-010325页

作者： Michael Antesberger Marco Túlio Quintino Philip Walther Lee A. Rozema Vienna Center for Quantum Science and Technology and Research Network Quantum Aspects of Space Time (TURIS) Faculty of Physics University of Vienna 1090 Vienna Austria Sorbonne Université CNRS LIP6 75005 Paris France Institute for Quantum Optics and Quantum Information Austrian Academy of Sciences Boltzmanngasse 3 1090 Vienna Austria Christian Doppler Laboratory for Photonic Quantum Computer Faculty of Physics University of Vienna 1090 Vienna Austria

The field of indefinite causal order (ICO) has seen a recent surge in interest. Much of this research has focused on the quantum switch, wherein multiple parties act in a superposition of different orders in a manner transcending the quantum circuit model. This results in a new resource for quantum protocols, and is exciting for its relation to issues in foundational physics. The quantum switch is also an example of a higher-order quantum operation, in that it transforms not only quantum states but also other quantum operations. To date, no quantum process without a definite causal order has been completely experimentally characterized. Indeed, past work on the quantum switch has confirmed its ICO by measuring causal witnesses or demonstrating resource advantages, but the complete process matrix has been described only theoretically. Here we report our performing higher-order quantum process tomography. However, doing so requires exponentially many measurements with a scaling worse than that of standard process tomography. We overcome this challenge by creating a new passively stable fiber-based quantum switch using active optical elements to deterministically generate and manipulate time-bin encoded qubits. Moreover, our new architecture for the quantum switch can be readily scaled to multiple parties. By reconstructing the process matrix, we estimate its fidelity and tailor different causal witnesses directly for our experiment. To achieve this, we measure a set of tomographically complete settings, which also spans the input operation space. Our tomography protocol allows the characterization and debugging of higher-order quantum operations with and without an ICO, while our experimental time-bin techniques could enable the creation of a new realm of higher-order quantum operations with an ICO.

关键词： Optical quantum information processing Quantum foundations Quantum tomography

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Optical Fiber Sensor for the Detection of Decarboxylation Products of Amino Acids 27

Optical Fiber Sensor for the Detection of Decarboxylation Pr...

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27th International Conference on Optical Fiber Sensors, OFS 2022

作者： Vasconcelos, Helena De Almeida, José M. M. M. Mendes, João Dias, Bernardo Jorge, Pedro A. S. Saraiva, Cristina Coelho, Luís C. C. School of Agrarian and Veterinary Sciences University of Trás-os-Montes E Alto Douro Vila Real5001-801 Portugal Faculty of Sciences INESC TEC-Institute for Systems and Computer Engineering University of Porto Technology and Science Porto4169-007 Portugal CIQUP - Chemistry Research Unit Chemistry and Biochemistry Department Faculty of Sciences University of Porto Porto4169-007 Portugal Department of Physics and Astronomy Faculty of Sciences University of Porto Porto4169-007 Portugal Department of Physics School of Science and Technology University of Trás-os-Montes E Alto Douro Vila Real5001-801 Portugal

Long period fiber gratings coated with TiO2 and poly(ethylene-co-vinyl acetate) (PEVA), a polymeric structure permeable biogenic amines found in foodstuff, were used to detect these compounds through the wavelength sh... 详细信息

ISBN: (纸本)9781957171142

关键词： Ethylene

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