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The Behavioral Intervention with Technology for E-Weight Loss Study (BITES): Incorporating Energy Balance Models and the Bite Counter into an Online Behavioral Weight Loss Program

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Journal of Technology in Behavioral Science 2021年第2期6卷 406-418页

作者： Goldstein, Carly M. Goldstein, Stephanie P. Thomas, Diana M. Hoover, Adam Bond, Dale S. Thomas, J. Graham The Weight Control and Diabetes Research Center The Miriam Hospital Providence 02903 RI United States Department of Psychiatry and Human Behavior Alpert Medical School Brown University Providence 02903 RI United States Department of Mathematical Sciences The United States Military Academy West Point 10996 NY United States Holcombe Department of Electrical and Computer Engineering Clemson University Clemson 29634 SC United States

This study evaluated feasibility and acceptability of adding energy balance modeling displayed on weight graphs combined with a wrist-worn bite counting sensor against a traditional online behavioral weight loss program. Adults with a BMI of 27–45 kg/m² (83.3% women) were randomized to receive a 12-week online behavioral weight loss program with 12 weeks of continued contact (n = 9;base program), the base program plus a graph of their actual and predicted weight change based on individualized physiological parameters (n = 7), or the base program, graph, and a Bite Counter device for monitoring and limiting eating (n = 8). Participants attended weekly clinic weigh-ins plus baseline, midway (12 weeks), and study culmination (24 weeks) assessments of feasibility, acceptability, weight, and behavioral outcomes. In terms of feasibility, participants completed online lessons (M = 7.04 of 12 possible lessons, SD = 4.02) and attended weigh-ins (M = 16.81 visits, SD = 7.24). Six-month retention appears highest among nomogram participants, and weigh-in attendance and lesson completion appear highest in Bite Counter participants. Acceptability was sufficient across groups. Bite Counter use (days with ≥ 2 eating episodes) was moderate (47.8%) and comparable to other studies. Participants lost 4.6% ± 4.5 of their initial body weight at 12 weeks and 4.5% ± 5.8 at 24 weeks. All conditions increased their total physical activity minutes and use of weight control strategies (behavioral outcomes). Although all groups lost weight and the study procedures were feasible, acceptability can be improved with advances in the technology. Participants were satisfied with the online program and nomograms, and future research on engagement, adherence, and integration with other owned devices is needed. *** Identifier: NCT02857595. © 2020, The Author(s).

关键词： Eating Feeding behavior Obesity management Technology Weight loss

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Dynamic graph transformer network via dual-view connectivity for autism spectrum disorder identification

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computers in Biology and Medicine 2024年 174卷 108415-108415页

作者： Guan, Zihao Yu, Jiaming Shi, Zhenshan Liu, Xiumei Yu, Renping Lai, Taotao Yang, Changcai Dong, Heng Chen, Riqing Wei, Lifang College of Computer and Information Science Fujian Agriculture and Forestry University Fuzhou350002 China Digital Fujian Research Institute of Big Data for Agriculture and Forestry Fujian Agriculture and Forestry University Fuzhou350002 China Department of Radiology The First Affiliated Hospital of Fujian Medical University Fuzhou350002 China Developmental and Behavior Pediatrics Department Fujian Children's Hospital - Fujian Branch of Shanghai Children's Medical Center Fuzhou350002 China College of Clinical Medicine for Obstetrics Gynecology and Pediatrics Fujian Medical University Fuzhou350012 China School of Electrical and Information Engineering Zhengzhou University Zhengzhou450001 China College of Computer and Control Engineering Minjiang University Fuzhou350108 China

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that requires objective and accurate identification methods for effective early intervention. Previous population-based methods via functional connectivity (FC) analysis ignore the differences between positive and negative FCs, which provide the potential information complementarity. And they also require additional information to construct a pre-defined graph. Meanwhile, two challenging demand attentions are the imbalance of performance caused by the class distribution and the inherent heterogeneity of multi-site data. In this paper, we propose a novel dynamic graph Transformer network based on dual-view connectivity for ASD Identification. It is based on the Autoencoders, which regard the input feature as individual feature and without any inductive bias. First, a dual-view feature extractor is designed to extract individual and complementary information from positive and negative connectivity. Then Graph Transformer network is innovated with a hot plugging K-Nearest Neighbor (KNN) algorithm module which constructs a dynamic population graph without any additional information. Additionally, we introduce the PolyLoss function and the Vrex method to address the class imbalance and improve the model's generalizability. The evaluation experiment on 1102 subjects from the ABIDE I dataset demonstrates our method can achieve superior performance over several state-of-the-art methods and satisfying generalizability for ASD identification. © 2024 Elsevier Ltd

关键词： Diseases

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Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

arXiv

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arXiv 2024年

作者： Bassi, Pedro R.A.S. Li, Wenxuan Tang, Yucheng Isensee, Fabian Wang, Zifu Chen, Jieneng Chou, Yu-Cheng Roy, Saikat Kirchhoff, Yannick Rokuss, Maximilian Huang, Ziyan Ye, Jin He, Junjun Wald, Tassilo Ulrich, Constantin Baumgartner, Michael Maier-Hein, Klaus H. Jaeger, Paul Ye, Yiwen Xie, Yutong Zhang, Jianpeng Chen, Ziyang Xia, Yong Xing, Zhaohu Zhu, Lei Sadegheih, Yousef Bozorgpour, Afshin Kumari, Pratibha Azad, Reza Merhof, Dorit Shi, Pengcheng Ma, Ting Du, Yuxin Bai, Fan Huang, Tiejun Zhao, Bo Wang, Haonan Li, Xiaomeng Gu, Hanxue Dong, Haoyu Yang, Jichen Mazurowski, Maciej A. Gupta, Saumya Wu, Linshan Zhuang, Jiaxin Chen, Hao Roth, Holger Xu, Daguang Blaschko, Matthew B. Decherchi, Sergio Cavalli, Andrea Yuille, Alan L. Zhou, Zongwei Department of Computer Science Johns Hopkins University United States Department of Pharmacy and Biotechnology University of Bologna Italy Center for Biomolecular Nanotechnologies Istituto Italiano di Tecnologia Italy NVIDIA United States Germany Germany ESAT-PSI KU Leuven Belgium Faculty of Mathematics and Computer Science Heidelberg University Germany HIDSS4Health - Helmholtz Information and Data Science School for Health Germany Shanghai Jiao Tong University China Shanghai Artificial Intelligence Laboratory China Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Germany DKFZ Germany School of Computer Science and Engineering Northwestern Polytechnical University China Australian Institute for Machine Learning The University of Adelaide Australia College of Computer Science and Technology Zhejiang University China Hong Kong University of Science and Technology Guangzhou China Hong Kong University of Science and Technology Hong Kong Faculty of Informatics and Data Science University of Regensburg Germany Faculty of Electrical Engineering and Information Technology RWTH Aachen University Germany Fraunhofer Institute for Digital Medicine MEVIS Germany Electronic & Information Engineering School Harbin Institute of Technology Shenzhen China China The Chinese University of Hong Kong Hong Kong Peking University China Department of Electrical and Computer Engineering Duke University United States Stony Brook University United States Department of Computer Science and Engineering Department of Chemical and Biological Engineering Division of Life Science Hong Kong University of Science and Technology Hong Kong Data Science and Computation Facility Fondazione Istituto Italiano di Tecnologia Italy Ecole Polytechnique Fédérale de Lausanne Switzerland

How can we test AI performance? This question seems trivial, but it isn’t. Standard benchmarks often have problems such as in-distribution and small-size test sets, oversimplified metrics, unfair comparisons, and short-term outcome pressure. As a consequence, good performance on standard benchmarks does not guarantee success in real-world scenarios. To address these problems, we present Touchstone, a large-scale collaborative segmentation benchmark of 9 types of abdominal organs. This benchmark is based on 5,195 training CT scans from 76 hospitals around the world and 5,903 testing CT scans from 11 additional hospitals. This diverse test set enhances the statistical significance of benchmark results and rigorously evaluates AI algorithms across out-of-distribution scenarios. We invited 14 inventors of 19 AI algorithms to train their algorithms, while our team, as a third party, independently evaluated these algorithms. In addition, we also evaluated pre-existing AI frameworks—which, differing from algorithms, are more flexible and can support different algorithms—including MONAI from NVIDIA, nnU-Net from DKFZ, and numerous other open-source frameworks. We are committed to expanding this benchmark to encourage more innovation of AI algorithms for the medical domain. Copyright © 2024, The Authors. All rights reserved.

关键词： Open systems

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Full-pose Trajectory Tracking of Overactuated Multi-Rotor Aerial Vehicles with Limited Actuation Abilities

TechRxiv

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TechRxiv 2023年

作者： Hamandi, Mahmoud Al-Ali, Ismail Seneviratne, Lakmal Franchi, Antonio Zweiri, Yahya The Department of Aerospace Engineering Khalifa University of Science and Technology Abu Dhabi United Arab Emirates The Department of Mechanical Engineering Khalifa University Abu Dhabi United Arab Emirates Khalifa University of Science and Technology Abu Dhabi United Arab Emirates The Robotics and Mechatronics Lab Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede Netherlands The Department of Computer Control and Management Engineering Sapienza University of Rome Rome00185 Italy LAAS CNRS Université de Toulouse Toulouse31000 France Khalifa University Abu Dhabi United Arab Emirates Center for Artificial Intelligence and Robotics New York University Abu Dhabi Saadiyat Island Abu Dhabi129188 United Arab Emirates

This paper presents a novel optimization-based full-pose trajectory tracking method to control overactuated multirotor aerial vehicles with limited actuation abilities. The proposed method allocates feasible control inputs to track a reference trajectory, while ensuring the tracking of the reference position, and while tracking the closest feasible attitude. The optimization simultaneously searches for a feasible trajectory and corresponding feasible control inputs from the infinite possible solutions, while ensuring smooth control inputs. The proposed real-time algorithm is tested in extensive simulation on multiple platforms with fixed and actuated propellers. The simulation experiments show the ability of the proposed approach to exploit the complex set of feasible forces and moments of overactuated platforms while allocating smooth feasible control inputs. © 2023, CC BY.

关键词： Trajectories

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Switching between singular points and exceptional-point-enhanced sensing in non-Hermitian photonic structures 13

Switching between singular points and exceptional-point-enha...

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Active Photonic Platforms XIII 2021

作者： Veronis, Georgios Huang, Yin Wang, Lanyan Shen, Yuecheng School of Electrical Engineering and Computer Science Louisiana State University Baton RougeLA70803 United States Center for Computation and Technology Louisiana State University Baton RougeLA70803 United States Department of Optoelectrics Information Science and Engineering School of Physics and Electronics Central South University Hunan Changsha410012 China State Key Laboratory of Optoelectronic Materials and Technologies School of Electronics and Information Technology Sun Yat-Sen University Guangdong Guangzhou510275 China

ISBN: (纸本)9781510644304

We investigate the exceptional points in a two-layer cylindrical waveguide structure consisting of absorbing and nonabsorbing dielectrics. We show that by tuning the parameters of the structure the complex effective indices of two waveguide modes can coalesce so that an exceptional point is formed. We show that the sensitivity of the effective index of the waveguide mode is enhanced at the exceptional point. We also investigate using phase-change materials in multilayer structures to switch between singular points. We show that in multilayer structures consisting of phasechange, lossless dielectric, lossy, and gain materials, absorbing or spectral singularities can be switched to exceptional points, and self-dual spectral singularities can be switched to unidirectional spectral singularities by switching the phasechange material from its crystalline to its amorphous phase. Our results could be important for developing new compact reconfigurable singularity-enhanced optical devices. © 2021 SPIE.

关键词： Physical optics

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Suppressing quantum errors by scaling a surface code logical qubit

arXiv

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arXiv 2022年

作者： Acharya, Rajeev Aleiner, Igor Allen, Richard Andersen, Trond I. Ansmann, Markus Arute, Frank Arya, Kunal Asfaw, Abraham Atalaya, Juan Babbush, Ryan Bacon, Dave Bardin, Joseph C. Basso, Joao Bengtsson, Andreas Boixo, Sergio Bortoli, Gina Bourassa, Alexandre Bovaird, Jenna Brill, Leon Broughton, Michael Buckley, Bob B. Buell, David A. Burger, Tim Burkett, Brian Bushnell, Nicholas Chen, Yu Chen, Zijun Chiaro, Ben Cogan, Josh Collins, Roberto Conner, Paul Courtney, William Crook, Alexander L. Curtin, Ben Debroy, Dripto M. Del Toro Barba, Alexander Demura, Sean Dunsworth, Andrew Eppens, Daniel Erickson, Catherine Faoro, Lara Farhi, Edward Fatemi, Reza Burgos, Leslie Flores Forati, Ebrahim Fowler, Austin G. Foxen, Brooks Giang, William Gidney, Craig Gilboa, Dar Giustina, Marissa Grajales Dau, Alejandro Gross, Jonathan A. Habegger, Steve Hamilton, Michael C. Harrigan, Matthew P. Harrington, Sean D. Higgott, Oscar Hilton, Jeremy Hoffmann, Markus Hong, Sabrina Huang, Trent Huff, Ashley Huggins, William J. Ioffe, Lev B. Isakov, Sergei V. Iveland, Justin Jeffrey, Evan Jiang, Zhang Jones, Cody Juhas, Pavol Kafri, Dvir Kechedzhi, Kostyantyn Kelly, Julian Khattar, Tanuj Khezri, Mostafa Kieferová, Mária Kim, Seon Kitaev, Alexei Klimov, Paul V. Klots, Andrey R. Korotkov, Alexander N. Kostritsa, Fedor Kreikebaum, John Mark Landhuis, David Laptev, Pavel Lau, Kim-Ming Laws, Lily Lee, Joonho Lee, Kenny Lester, Brian J. Lill, Alexander Liu, Wayne Locharla, Aditya Lucero, Erik Malone, Fionn D. Marshall, Jeffrey Martin, Orion McClean, Jarrod R. McCourt, Trevor McEwen, Matt Megrant, Anthony Meurer Costa, Bernardo Mi, Xiao Miao, Kevin C. Mohseni, Masoud Montazeri, Shirin Morvan, Alexis Mount, Emily Mruczkiewicz, Wojciech Naaman, Ofer Neeley, Matthew Neill, Charles Nersisyan, Ani Neven, Hartmut Newman, Michael Ng, Jiun How Nguyen, Anthony Nguyen, Murray Niu, Murphy Yuezhen O’Brien, Thomas E. Opremcak, Alex Platt, John Petukhov, Andre Potter, Rebecca Pryadko, Leonid Quintana, Chris Roushan, Pedram Rubin, Nicholas C. Saei, Negar Sank, Danie Google Research United States Department of Physics Columbia University New YorkNY United States Department of Electrical and Computer Engineering University of Massachusetts AmherstMA United States Department of Electrical and Computer Engineering Auburn University AuburnAL United States Centre for Quantum Computation and Communication Technology Centre for Quantum Software and Information Faculty of Engineering and Information Technology University of Technology SydneyNSW2007 Australia Department of Physics Institute for Quantum Information and Matter Walter Burke Institute for Theoretical Physics California Institute of Technology PasadenaCA United States Department of Electrical and Computer Engineering University of California RiversideCA United States USRA Research Institute for Advanced Computer Science Mountain ViewCA United States QuAIL NASA Ames Research Center Moffett Field CA United States Department of Physics University of California Santa BarbaraCA United States

Practical quantum computing will require error rates that are well below what is achievable with physical qubits. Quantum error correction [1, 2] offers a path to algorithmically-relevant error rates by encoding logical qubits within many physical qubits, where increasing the number of physical qubits enhances protection against physical errors. However, introducing more qubits also increases the number of error sources, so the density of errors must be sufficiently low in order for logical performance to improve with increasing code size. Here, we report the measurement of logical qubit performance scaling across multiple code sizes, and demonstrate that our system of superconducting qubits has sufficient performance to overcome the additional errors from increasing qubit number. We find our distance-5 surface code logical qubit modestly outperforms an ensemble of distance-3 logical qubits on average, both in terms of logical error probability over 25 cycles and logical error per cycle (2.914%±0.016% compared to 3.028%±0.023%). To investigate damaging, low-probability error sources, we run a distance-25 repetition code and observe a 1.7 × 10−6 logical error per round floor set by a single high-energy event (1.6 × 10−7 when excluding this event). We are able to accurately model our experiment, and from this model we can extract error budgets that highlight the biggest challenges for future systems. These results mark the first experimental demonstration where quantum error correction begins to improve performance with increasing qubit number, illuminating the path to reaching the logical error rates required for computation. © 2022, CC BY.

关键词： Qubits

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Generalized Power Iteration with Application to Distributed Connectivity Estimation of Asymmetric Networks

arXiv

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arXiv 2023年

作者： Asadi, M. Mehdi Khosravi, Mohammad Mosalli, Hesam Blouin, Stéphane Aghdam, Amir G. The Department of Electrical Engineering Polytechnique Montréal 2500 chemin de Polytechnique MontréalQCH3T 1J4 Canada The Delft Center for Systems and Control Delft University of Technology Delft Netherlands The Department of Electrical and Computer Engineering Concordia University MontréalQCH3G 1M8 Canada The Defence Research and Development Canada Atlantic Research Centre DartmouthNSB3A 3C5 Canada

The problem of connectivity assessment in an asymmetric network represented by a weighted directed graph is investigated in this article. A power iteration algorithm in a centralized implementation is developed first to compute the generalized algebraic connectivity of asymmetric networks. After properly transforming the Laplacian matrix of the network, two sequences of one-dimensional and two-dimensional subspaces are generated iteratively, one of which converges to the desired subspace spanned by the eigenvector(s) associated with the eigenvalue(s) representing the network’s generalized algebraic connectivity. A distributed implementation of the proposed power iteration algorithm is then developed to compute the generalized algebraic connectivity from the viewpoint of each node, which is scalable to any asymmetric network of any size with a fixed message length per node. The convergence analysis of these algorithms is subsequently provided under some weak assumptions. The efficiency of the developed algorithms in computing the network connectivity is then demonstrated by simulations. © 2023, CC BY-NC-SA.

关键词： Eigenvalues and eigenfunctions

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Multimodal Emotion Recognition Based on Multi-Scale Facial Features and Cross-Modal Attention 26

Multimodal Emotion Recognition Based on Multi-Scale Facial F...

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26th International Conference on Industrial Technology, ICIT 2025

作者： Bao, Chengao Chen, Luefeng Li, Min Wu, Min Pedrycz, Witold Hirota, Kaoru School of Automation China University of Geosciences Wuhan430074 China School of Automation Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6R 2G7 Canada Tokyo Institute of Technology Yokohama226-8502 Japan Tokyo Institute of Technology Tokyo226-8502 Japan

ISBN: (纸本)9798331521950

A multi-modal emotion recognition method based on facial multi-scale features and cross-modal attention (MS-FCA) network is proposed. The MSFCA model improves the traditional single-branch ViT network into a two-branch ViT architecture by using classification tokens in each branch to interact with picture embeddings in the other branch, which facilitates effective interactions between different scales of information. Subsequently, audio features are extracted using ResNet18 network. The cross-modal attention mechanism is used to obtain the weight matrices between different modal features, making full use of inter-modal correlation and effectively fusing visual and audio features for more accurate emotion recognition. Two datasets are used for the experiments: eNTERFACE'05 and REDVESS dataset. The experimental results show that the accuracy of the proposed method on the eNTERFACE'05 and REDVESS datasets is 85.42% and 83.84% respectively, which proves the effectiveness of the proposed method. © 2025 IEEE.

关键词： Modal analysis

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PDAVIS: Bio-inspired Polarization Event Camera

PDAVIS: Bio-inspired Polarization Event Camera

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IEEE computer Society Conference on computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Germain Haessig Damien Joubert Justin Haque Moritz B. Milde Tobi Delbruck Viktor Gruev AIT Austrian Institute of Technology Center for Vision Automation & Control High-Performance Vision Systems Vienna Austria Institute of Neuroinformatics University of Zurich and ETH Zurich Switzerland International Centre for Neuromorphic Systems The MARCS Institute Western Sydney University Sydney Australia Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL USA

The stomatopod (mantis shrimp) visual system has recently provided a blueprint for the design of paradigm-shifting polarization and multispectral imaging sensors, enabling solutions to challenging medical and remote sensing problems. However, these bioinspired frame-based cameras lack the high dynamic range and asynchronous polarization vision capabilities of the stomatopod visual system, limiting temporal resolution to ~12ms and dynamic range to ~72dB. Here we present a novel stomatopod-inspired polarization camera which mimics the sustained and transient biological visual pathways to save power and sample data beyond the maximum Nyquist frame rate. This bio-inspired sensor simultaneously captures both synchronous intensity frames and asynchronous polarization brightness change information with submillisecond latencies over a millionfold range of illumination. Our PDAVIS camera is comprised of 346x260 pixels, organized in 2-by-2 macropixels, which filter the incoming light with four linear polarization filters offset by 45°. Polarization information is reconstructed using both low-cost and low-latency event-based algorithms and more accurate but slower deep neural networks. Our sensor is used to image high dynamic range polarization scenes that vary at high speeds and to observe the dynamical properties of single collagen fibers in a bovine tendon under rapid cyclical ***: https://***/mFuCeTMWEqY

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Cost sharing mechanism for reactive power management amidst P2P energy sharing

Cost sharing mechanism for reactive power management amidst ...

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2020 IEEE Power and Energy Society General Meeting, PESGM 2020

作者： Gu, Yuxuan Wang, Jianxiao Zheng, Kedi Chen, Qixin Tang, Wenyuan Liu, Jianing Zeng, Kaiwen Tsinghua University Department of Electrical Engineering Beijing100084 China North China Electric Power University School of Electrical and Electronic Engineering Beijing102206 China North Carolina State University Department of Electrical and Computer Engineering RaleighNC27695 United States Dispatch and Control Center Guangdong Power Grid Co. Ltd Guangzhou510000 China

ISBN: (纸本)9781728155081

With the increasing penetration of distributed energy resources (DERs) at the demand side, power quality in the distribution network has become a critical problem. Currently, the operator/utility would pay for the cost increment caused by out-of-order DERs. In this paper, a P2P energy sharing (ES) model and a cost sharing mechanism are proposed to reduce the total cost and encourage DERs to maintain power quality. In the proposed model, end-users with DERs can flexibly share surplus energies with others instructed by the aggregator. A linear model is applied to analyze the active and reactive power flow in the distribution network and ensure the sharing outcomes meet the operational requirements. To encourage participation, the total cost saving is shared based on the identified contribution. Case studies on the coalition composed of 10 end-users based on the real-world data validate the effectiveness of the proposed model and mechanism. © 2020 IEEE.

关键词： Electric load flow

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