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Autism spectrum disorder classification based on interpersonal neural synchrony: Can classification be improved by dyadic neural biomarkers using unsupervised graph representation learning?

arXiv

引用

arXiv 2022年

作者： Gerloff, Christian Konrad, Kerstin Kruppa, Jana Schulte-Rüther, Martin Reindl, Vanessa JARA-Brain Institute II Molecular Neuroscience and Neuroimaging RWTH Aachen & Research Centre Juelich Aachen Germany Child Neuropsychology Section Department of Child and Adolescent Psychiatry Psychosomatics and Psychotherapy Medical Faculty RWTH Aachen University Aachen Germany Chair II of Mathematics Faculty of Mathematics Computer Science and Natural Sciences RWTH Aachen University Aachen Germany Department of Child and Adolescent Psychiatry and Psychotherapy University Medical Center Göttingen Göttingen Germany Leibniz ScienceCampus Primate Cognition Göttingen Germany Psychology School of Social Sciences Nanyang Technological University Singapore Singapore

Research in machine learning for autism spectrum disorder (ASD) classification bears the promise to improve clinical diagnoses. However, recent studies in clinical imaging have shown the limited generalization of biomarkers across and beyond benchmark datasets. Despite increasing model complexity and sample size in neuroimaging, the classification performance of ASD remains far away from clinical application. This raises the question of how we can overcome these barriers to develop early biomarkers for ASD. One approach might be to rethink how we operationalize the theoretical basis of this disease in machine learning models. Here we introduced unsupervised graph representations that explicitly map the neural mechanisms of a core aspect of ASD, deficits in dyadic social interaction, as assessed by dual brain recordings, termed hyperscanning, and evaluated their predictive performance. The proposed method differs from existing approaches in that it is more suitable to capture social interaction deficits on a neural level and is applicable to young children and infants. First results from functional near-infrared spectroscopy data indicate potential predictive capacities of a task-agnostic, interpretable graph representation. This first effort to leverage interaction-related deficits on neural level to classify ASD may stimulate new approaches and methods to enhance existing models to achieve developmental ASD biomarkers in the future. Copyright © 2022, The Authors. All rights reserved.

关键词： Biomarkers

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Special Issue on Analysis of 1D biomedical signals through AI based approaches for image processing

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Biomedical Signal Processing and Control 2022年 72卷

作者： Giovanna Sannino Nadia Brancati Alfred M. Bruckstein Maria Frucci Daniel Riccio Institute for High-Performance Computing and Networking (ICAR) National Research Council (CNR) Naples Italy Department of Computer Science Technion IIT Haifa Israel University of Naples Federico II Italy

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A fuzzy-based multimodal approach for interpretable fake news detection

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Applied Soft Computing 2025年 179卷

作者： Tayasan Milinda H. Gedara Vincenzo Loia Stefania Tomasiello Department of Management & Innovation Systems University of Salerno Via Giovanni Paolo II 132 Fisciano 84084 Salerno Italy IMT School for Advanced Studies Piazza S. Ponziano 6 55100 Lucca Italy Department of Industrial Engineering University of Salerno Via Giovanni Paolo II 132 Fisciano 84084 Salerno Italy Institute of Computer Science University of Tartu Narva mnt 18 Tartu 51009 Estonia

Fake news has become a significant threat to society, exacerbated by the rapid growth of multimedia content on social media platforms. While several existing approaches focus on integrating textual and visual data for fake news detection, they often rely on traditional fusion techniques such as concatenation or addition, which suffer from two primary issues, i.e. limited cross-modal feature fusion, and inadequate detection of inconsistencies between text and images. To address these challenges, this paper proposes a novel fuzzy-based multimodal fake news detection framework that integrates text, images, and their corresponding semantic relationships for more accurate and interpretable results. The model combines a Long Short-Term Memory for text analysis, an Adaptive Neuro-Fuzzy Inference System for image classification, a similarity analysis to check the coherence between text and image, and a Fuzzy Inference System to reason about the final outcome. This multimodal fusion allows the system to detect subtle inconsistencies that may signal the presence of fake news. Furthermore, this framework produces interpretable results by describing the particular contributions of each modality (text, picture, and semantic consistency) to the final categorization. Extensive experiments on three publicly available datasets (Twitter, Buzzfeed, and PolitiFact) demonstrate that the proposed method significantly improves fake news detection performance, achieving superior accuracy, precision, recall, and F1 scores compared to state-of-the-art methods. The study is completed by a formal analysis of the Fuzzy Inference System, to support a brief discussion on its stability.

关键词： Fuzzy inference system Interpretability ANFIS LSTM Multimodal fusion

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Population of tetraneutron continuum in reactions of 8He on deuterium

arXiv

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arXiv 2023年

作者： Muzalevskii, I.A. Shulgina, N.B. Bezbakh, A.A. Chudoba, V. Krupko, S.A. Belogurov, S.G. Biare, D. Egorova, I.A. Fomichev, A.S. Gazeeva, E.M. Gorshkov, A.V. Grigorenko, L.V. Kaminski, G. Khirk, M. Kiselev, O. Kostyleva, D.A. Kozlov, M.Yu. Mauyey, B. Mukha, I. Nikolskii, E.Yu. Parfenova, Yu.L. Piatek, W. Quynh, A.M. Serikov, A. Sidorchuk, S.I. Sharov, P.G. Slepnev, R.S. Stepantsov, S.V. Swiercz, A. Szymkiewicz, P. Ter-Akopian, G.M. Zalewski, B. Flerov Laboratory of Nuclear Reactions JINR Dubna141980 Russia National Research Centre "Kurchatov Institute" Kurchatov Sq. 1 Moscow123182 Russia Bogoliubov Laboratory of Theoretical Physics JINR Dubna141980 Russia Institute of Physics Silesian University in Opava Opava74601 Czech Republic National Research Nuclear University "MEPhI" Moscow115409 Russia Dubna State University Dubna141982 Russia Heavy Ion Laboratory University of Warsaw Warsaw02-093 Poland Skobeltsyn Institute of Nuclear Physics Moscow State University Moscow119991 Russia GSI Helmholtzzentrum für Schwerionenforschung GmbH Darmstadt64291 Germany II. Physikalisches Institut Justus-Liebig-Universität Giessen35392 Germany Laboratory of Information Technologies JINR Dubna141980 Russia Institute of Nuclear Physics Almaty050032 Kazakhstan Nuclear Research Institute Dalat670000 Viet Nam AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow30-059 Poland

Search for the population of the low-energy continuum of a tetraneutron system was performed for reactions of the 8He beam on a deuterium target. These studies are based on the data [I.A. Muzalevskii et al., Phys. Rev. C 103, 044313 (2021)], previously used for the studies of 7H and 6H in the 2H(8He, 3He)7H and 2H(8He, 4He)6H reactions. Evidence for a hump in the 4n continuum at 3.5±0.7 and 3.2±0.8 MeV was observed in the 2H(8He,6Li)4n and 2H(8He,3He)7H→3H+4n reactions, respectively. The observed statistics is quite low (6 events and up to 40 events) corresponding to very low cross sections of few microbarns or tens of microbarns. The background conditions for the 2H(8He,6Li)4n reaction are shown to be good, favoring the physical nature of the observed events. The 2H(8He,3He)7H→3H+4n process transforms to the 2H(8He,6Li∗)4n reaction in the limit of the highest 7H decay energies. The population of the low-energy region in the 4n spectrum is found to be perfectly correlated with the population of the lowest 6Li state in the 3He+3H continuum with E∗ = 18 MeV. Theoretical calculations of 8He in a five-body α+4n and of 4n in a four-body hyperspherical models are presented. The 8He wave function is shown to contain strong specific correlations, which may give rise to very low-energy structures in tetraneutron continuum in extreme-peripheral reaction scenarios. Copyright © 2023, The Authors. All rights reserved.

关键词： Continuum mechanics

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Towards objective multi-criteria drone evaluation based on VIKOR and COMET methods

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Procedia computer science 2021年 192卷 4522-4531页

作者： Volodymyr Kozlov Tomasz Norek Research Team on Intelligent Decision Support Systems Department of Artificial Intelligence and Applied Mathematics Faculty of Computer Science and Information Technology West Pomeranian University of Technology in Szczecin ul.Żołnierska 49 71-210 Szczecin Poland Institute of Spatial Management and Socio-Economic Geography University of Szczecin al. Papieża Jana Pawła II 22a 70-453 Szczecin Poland

With the recent rising number of personal drones, the market is growing with more and more new drones. The actual number of alternatives is unsuspectedly huge. Nevertheless, each year their characteristics are only improving, which only complicate the selection. The manual optimal choice is a significant challenge, likely even impossible. Still, the most efficient way to estimate the ranking of the alternatives is a multi-criteria decision analysis (MCDA). In this paper, we use MCDA methods towards objective multi-criteria drone evaluation. Our work is based on VIKOR and COMET method which have presented their efficiency in many works with multi-criteria problems. For optimal selection on twelve alternatives of drones, nine criteria were used and two MCDA methods with the same weights. Finally, the result is presented and discussed in the end.

关键词： VIKOR COMET MCDA drone evaluation

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Combination and summary of ATLAS dark matter searches interpreted in a 2HDM with a pseudo-scalar mediator using 139 fb^(-1)of√s=13 TeV pp collision data

引用

science Bulletin 2024年第19期69卷 3005-3035页

作者： The ATLAS Collaboration Department of Physics University of Adelaide Adelaide Australia Department of Physics University of Alberta Edmonton AB Canada Physics Department National Technical University of Athens Zografou Greece CPPM Aix-Marseille Université CNRS/IN2P3 Marseille France Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan School of Physics and Astronomy University of Birmingham Birmingham United Kingdom Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman OK United States of America APC Université Paris Cité CNRS/IN2P3 Paris France II. Physikalisches Institut Georg-August-Universität Göttingen Göttingen Germany LAPP Université Savoie Mont Blanc CNRS/IN2P3 Annecy France Physics Department National and Kapodistrian University of Athens Athens Greece Fakultät Physik Technische Universität Dortmund Dortmund Germany Physics Department Brookhaven National Laboratory Upton NY United States of America Faculté des sciences Université Mohammed V Rabat Also at Center for High Energy Physics Peking University Beijing Institute of Physics University of Belgrade Belgrade Serbia Department of Physics Duke University Durham NC United States of America Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Institut für Kern-~und Teilchenphysik Technische Universität Dresden Dresden Germany Department of Physics Technion Israel Institute of Technology Haifa Israel Department of Physics University of Arizona Tucson AZ United States of America Department of Physics University of Texas at Austin Austin TX United States of America Department of Physics New York University New York NY United States of America Institut de Física d’Altes Energies (IFAE) Barcelona Institute of Science and Technology Barcelona Spain Affiliated with an institute covered by a cooperation agreement with CERN Departamento de Física Pontificia Universidad Católica de Chile Santiago Also Affiliated with an i

Results from a wide range of searches targeting different experimental signatures with and without missing transverse momentum(E_(T)^(miss))are used to constrain a Two-Higgs-Doublet Model(2HDM)with an additional pseudo-scalar mediating the interaction between ordinary and dark matter(2HDM+a).The analyses use up to 139 fb^(-1)of proton–proton collision data at a centre-of-mass energy√s=13 TeV pp recorded with the ATLAS detector at the Large Hadron Collider during 2015–*** results from three of the most sensitive searches are combined *** searches target signatures with large E_(T)^(miss)and a leptonically decaying Z boson;large E_(T)^(miss)and a Higgs boson decaying to bottom quarks;and production of charged Higgs bosons in final states with top and bottom quarks,*** are derived for several common and new benchmark scenarios in the 2HDM+a.

关键词： High-energy physics Proton-proton Beyond Standard Model Dark matter

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Room-temperature waveguide-coupled silicon single-photon avalanche diodes

npj Nanophotonics

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npj Nanophotonics 2024年第1期1卷 1-8页

作者： Alperen Govdeli John N. Straguzzi Yiding Lin Wesley D. Sacher Joyce K. S. Poon Zheng Yong Xianshu Luo Hongyao Chua Guo-Qiang Lo Max Planck Institute of Microstructure Physics Weinberg 2 06120 Halle Germany Department of Electrical and Computer Engineering University of Toronto 10 King’s College Road Toronto ON M5S 3G4 Canada Advanced Micro Foundry Pte Ltd 11 Science Park Road Singapore Science Park II 117685 Singapore Singapore

Single photon detection is important for a wide range of low-light applications, including quantum information processing, spectroscopy, and light detection and ranging (LiDAR). A key challenge in these applications has been to integrate single-photon detection capability into photonic circuits for the realization of complex photonic microsystems. Short-wavelength (λ< 1.1 μm) integrated photonics platforms that use silicon (Si) as photodetectors offer the opportunity to achieve single-photon avalanche diodes (SPADs) that operate at or near room temperature. Here, we report the first waveguide-coupled Si SPAD. The device is monolithically integrated in a Si photonic platform and operates in the visible spectrum. The device exhibited a single photon detection efficiency of >6% for wavelengths of 488 and 532 nm with an excess voltage of <20% of the breakdown voltage. The dark count rate was below 100 kHz at room temperature, with the possibility of improving by approximately 35% by reducing the temperature to −5 °C.

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Rotational alignment of imu-camera systems with 1-point ransac 2nd

Rotational alignment of imu-camera systems with 1-point rans...

引用

2nd Chinese Conference on Pattern Recognition and computer Vision, PRCV 2019

作者： Guan, Banglei Su, Ang Li, Zhang Fraundorfer, Friedrich College of Aerospace Science and Engineering National University of Defense Technology Changsha China Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation Changsha China Institute for Computer Graphics and Vision Graz University of Technology Graz Austria

ISBN: (纸本)9783030317256

In this paper we present a minimal solution for the rotational alignment of IMU-camera systems based on a homography formulation. The image correspondences between two views are related by homography when the motion of the camera can be effectively approximated as a pure rotation. By exploiting the rotational angles of the features obtained by e.g. the SIFT detector, we compute the rotational alignment of IMU-camera systems with only 1 feature correspondence. The novel minimal case solution allows us to cope with feature mismatches efficiently and robustly within a random sample consensus RANSAC scheme. Our method is evaluated on both synthetic and real scene data, demonstrating that our method is suited for the rotational alignment of IMU-camera systems. © Springer Nature Switzerland AG 2019.

关键词： Cameras

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Results of the Ontology Alignment Evaluation Initiative 2021 16

Results of the Ontology Alignment Evaluation Initiative 2021

引用

16th International Workshop on Ontology Matching, OM 2021

作者： Pour, Mina Abd Nikooie Algergawy, Alsayed Amardeilh, Florence Amini, Reihaneh Fallatah, Omaima Faria, Daniel Fundulaki, Irini Harrow, Ian Hertling, Sven Hitzler, Pascal Huschka, Martin Ibanescu, Liliana Jiḿenez-Ruiz, Ernesto Karam, Naouel Laadhar, Amir Lambrix, Patrick Li, Huanyu Li, Ying Michel, Franck Nasr, Engy Paulheim, Heiko Pesquita, Catia Portisch, Jan Roussey, Catherine Saveta, Tzanina Shvaiko, Pavel Splendiani, Andrea Trojahn, Ćassia Vatǎšcinova, Jana Yaman, Beyza Zamaza, Onďrej Zhou, Lu Link¨oping University Swedish E-Science Research Center Link¨oping Sweden Friedrich Schiller University Jena Germany Elzeard.co Paris France Laboratory Kansas State University United States Information School University Of Sheffield Sheffield United Kingdom Faculdade De Cîencias Universidade De Lisboa Lasige Portugal Institute Of Computer Science-FORTH Heraklion Greece Pistoia Alliance Inc. United States University Of Mannheim Germany Fraunhofer Institute For High-Speed Dynamics EMI Germany AgroParisTech Umr MIA-Paris/INRAE France University Of London City United Kingdom Department Of Informatics University Of Oslo Norway Fraunhofer Fokus Berlin Germany University Of Leipzig Germany Department Of Computer Science Aalborg University Denmark University Of G¨avle Sweden University Ĉote d'Azur CNRS Inria France University Of Freiburg Freiburg Galaxy Team Germany Inrae Centre Clermont-ARA Laboratoire Tscf France Trentino Digitale SpA Trento Italy Irit and Universit´e Toulouse II Toulouse France Prague University Of Economics And Business Czech Republic Adapt Centre Dublin City University Ireland

The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity and use different evaluation modalities (e.g., blind evaluation, open evaluation, or consensus). The OAEI 2021 campaign offered 13 tracks and was attended by 21 participants. This paper is an overall presentation of that campaign. Copyright © 2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Ontology

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Power-efficient silicon nitride thermo-optic phase shifters for visible light

arXiv

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arXiv 2021年

作者： Yong, Zheng Chen, Hong Luo, Xianshu Govdeli, Alperen Chua, Hongyao Azadeh, Saeed S. Stalmashonak, Andrei Lo, Guo-Qiang Poon, Joyce K.S. Sacher, Wesley D. Max Planck Institute of Microstructure Physics Weinberg 2 Halle06120 Germany Department of Electrical and Computer Engineering University of Toronto 10 King's College Road TorontoONM5S 3G4 Canada Advanced Micro Foundry Pte. Ltd. Singapore Science Park II 11 Science Park Road 117685 Singapore

We demonstrate power-efficient, thermo-optic, silicon nitride waveguide phase shifters for blue, green, and yellow wavelengths. The phase shifters operated with low power consumption due to a suspended structure and multi-pass waveguide design. The devices were fabricated on 200-mm silicon wafers using deep ultraviolet lithography as part of an active visible-light integrated photonics platform. The measured power consumption to achieve a π phase shift (averaged over multiple devices) was 0.78, 0.93, 1.09, and 1.20 mW at wavelengths of 445, 488, 532, and 561 nm, respectively. The phase shifters were integrated into Mach-Zehnder interferometer switches, and 10 − 90% rise(fall) times of about 570(590) µs were measured. © 2021, CC BY-NC-ND.

关键词： Silicon wafers

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