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The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue

Medical Image Analysis 2024年 97卷 103257页

作者： Weitz, Philippe Valkonen, Masi Solorzano, Leslie Carr, Circe Kartasalo, Kimmo Boissin, Constance Koivukoski, Sonja Kuusela, Aino Rasic, Dusan Feng, Yanbo Pouplier, Sandra Sinius Sharma, Abhinav Eriksson, Kajsa Ledesma Robertson, Stephanie Marzahl, Christian Gatenbee, Chandler D. Anderson, Alexander R.A. Wodzinski, Marek Jurgas, Artur Marini, Niccolò Atzori, Manfredo Müller, Henning Budelmann, Daniel Weiss, Nick Heldmann, Stefan Lotz, Johannes Wolterink, Jelmer M. De Santi, Bruno Patil, Abhijeet Sethi, Amit Kondo, Satoshi Kasai, Satoshi Hirasawa, Kousuke Farrokh, Mahtab Kumar, Neeraj Greiner, Russell Latonen, Leena Laenkholm, Anne-Vibeke Hartman, Johan Ruusuvuori, Pekka Rantalainen, Mattias Department of Medical Epidemiology and Biostatistics Karolinska Insitutet Stockholm Sweden Institute of Biomedicine University of Turku Turku Finland Institute of Biomedicine University of Eastern Finland Kuopio Finland Department of Surgical Pathology Zealand University Hospital Roskilde Denmark Department of Oncology and Pathology Karolinska Institutet Stockholm Sweden Gestalt Diagnostics Spokane United States Department of Integrated Mathematical Oncology Moffitt Cancer Center Tampa United States Informatics Institute University of Applied Sciences Western Switzerland Switzerland Department of Measurement and Electronics AGH University of Kraków Poland Department of Computer Science University of Geneva Geneva Switzerland Department of Neuroscience University of Padova Italy Medical Faculty University of Geneva Switzerland Fraunhofer Institute for Digital Medicine MEVIS Lübeck Germany Department of Applied Mathematics Technical Medical Centre University of Twente Enschede Netherlands Multimodality Medical Imaging Technical Medical Centre University of Twente Enschede Netherlands Department of Electrical Engineering Indian Institute of Technology Bombay India Graduate School of Engineering Muroran Institute of Technology Hokkaido Japan Faculty of Medical Technology Niigata University of Health and Welfare Niigata Japan FORXAI Business Operations Konica Minolta Inc. Osaka Japan Department of Computing Science University of Alberta EdmontonAlberta United States Alberta Machine Intelligence Institute Edmonton Canada MedTechLabs BioClinicum Karolinska University Hospital Stockholm Sweden Faculty of Medicine and Health Technology Tampere University Tampere Finland

The alignment of tissue between histopathological whole-slide-images (WSI) is crucial for research and clinical applications. Advances in computing, deep learning, and availability of large WSI datasets have revolutionised WSI analysis. Therefore, the current state-of-the-art in WSI registration is unclear. To address this, we conducted the ACROBAT challenge, based on the largest WSI registration dataset to date, including 4,212 WSIs from 1,152 breast cancer patients. The challenge objective was to align WSIs of tissue that was stained with routine diagnostic immunohistochemistry to its H&E-stained counterpart. We compare the performance of eight WSI registration algorithms, including an investigation of the impact of different WSI properties and clinical covariates. We find that conceptually distinct WSI registration methods can lead to highly accurate registration performances and identify covariates that impact performances across methods. These results provide a comparison of the performance of current WSI registration methods and guide researchers in selecting and developing methods. © 2024

关键词： Tissue

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Optimization of semilinear third-order delay-differential inclusions using the adjoint Mahmudov inclusion

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AIP Conference Proceedings 2023年第1期2879卷

作者： Özkan Deǧer Elimhan N. Mahmudov Dilara I. Mastaliyeva İstanbul University Faculty of Science Department of Mathematics İstanbul Turkey Department of Mathematics İstanbul Technical University İstanbul Turkey Azerbaijan National Academy of Sciences Institute of Control Systems Baku Azerbaijan

The paper investigates the optimization of third-order retarded differential inclusions (DFIs). In terms of the Euler-Lagrange type adjoint DFIs and Hamiltonian, a sufficient optimality condition for third-order DFIs is derived, which have different forms in different time intervals depending on the delay parameter, and in the problem without delay effect these two adjoint DFIs coincide. At the same time, when constructing the Euler-Lagrange type adjoint DFI, without using traditional approaches to constructing an adjoint operator and a discrete-approximate method, the new method of adjoint DFI of Mahmudov for “third-order problems” is used.

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A Hybrid Adaptive Filter for Head Tracking in Augmented Reality (AR)-based Flight Simulators

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IEEE Transactions on Computers 2025年

作者： Nwobodo, Onyeka J. Kuaban, Godlove Suila Nkemeni, Valery Wereszczynski, Kamil Cyran, Krzysztof A. Silesian University of Technology Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Gliwice Poland Polish Academy of Sciences Institute of Theoretical and Applied Informatics Poland University of Buea Laboratory of Electrical Engineering and Computing Faculty of Engineering and Technology Buea Cameroon

This paper presents a novel approach for head tracking in augmented reality (AR) flight simulators using an adaptive fusion of Kalman and particle filters. This fusion dynamically balances the strengths of both algorithms, leveraging Kalman filters for computational efficiency and particle filters for handling non-linearities based on real-time factors such as sensor noise and head movement patterns. Our method demonstrates superior tracking precision and reduced latency, making it particularly effective for immersive pilot training in AR-based flight simulations. While focused on flight simulation, our approach holds high potential for broader applications in other AR and virtual reality (VR) environments where precise, real-time head tracking is crucial. These results provide actionable design guidance for developers optimizing tracking systems in environments that require fast response times and high accuracy. Future extensions of this research could explore the generalization of our approach across diverse AR applications, including human-computer interaction (HCI), medical simulations, and gaming. © 1968-2012 IEEE.

关键词： Flight simulators

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Decentralized Nonconvex Robust Optimization over Unsafe Multiagent Systems: System Modeling, Utility, Resilience, and Privacy Analysis

arXiv

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arXiv 2024年

作者： Hu, Jinhui Chen, Guo Li, Huaqing Cheng, Huqiang Guo, Xiaoyu Huang, Tingwen School of Automation Central South University Changsha410083 China Department of Biomedical Engineering City University of Hong Kong Kowloon Hong Kong School of Electrical Engineering and Telecommunications University of New South Wales SydneyNSW2052 Australia Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing400715 China Key Laboratory of Dependable Services Computing in Cyber Physical Society Ministry of Education College of Computer Science Chongqing University Chongqing400044 China Faculty of Computer Science and Control Engineering Shenzhen University of Advanced Technology Shenzhen518055 China

Privacy leakage and Byzantine failures are two adverse factors to the intelligent decision-making process of multiagent systems (MASs). Considering an unsafe MAS with these two issues, this paper targets the resolution of a class of nonconvex optimization problems under the Polyak-Lojasiewicz (P-L) condition. To address this problem, we first identify and construct the unsafe MAS model. Under this kind of unfavorable MASs, we mask the local gradients with Gaussian noises and adopt a resilient aggregation method self-centered clipping (SCC) to design a differentially private (DP) decentralized Byzantine-resilient algorithm, namely DP-SCC-PL, which simultaneously achieves differential privacy and Byzantine resilience. The convergence analysis of DP-SCC-PL is challenging since the convergence error can be contributed jointly by privacy-preserving and Byzantine-resilient mechanisms, as well as the nonconvex relaxation, which is addressed via seeking the contraction relationships among the disagreement measure of reliable agents before and after SCC aggregation, together with the optimal gap. Theoretical results reveal that DP-SCC-PL achieves consensus among all reliable agents and sublinear (inexact) convergence with well-designed step-sizes. It has also been proved that if there are no privacy issues and Byzantine agents, then the asymptotic exact convergence can be recovered. Numerical experiments verify the utility, resilience, and differential privacy of DP-SCC-PL by tackling a nonconvex optimization problem satisfying the P-L condition under various Byzantine attacks. Copyright © 2024, The Authors. All rights reserved.

关键词： Differential privacy

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Corrosion Behavior of Chromium Coating on Ferritic/Martensitic Steels in High Temperature Lbe

SSRN

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SSRN 2023年

作者： Wang, Li Liao, Qing Gan, Shuyun Zhang, Hongpeng Chang, Hailong Wang, Renda Ge, Feng Chen, Liming Liu, Sijie Xu, Shuai Polcar, Tomas Daghbouj, N. Li, Bingsheng State Key Laboratory for Environment-friendly Energy Materials Southwest University of Science and Technology Sichuan Mianyang621010 China Institute of Modern Physics Chinese Academy of Sciences Gansu Lanzhou73000 China Engineering Laboratory of Advanced Energy Materials Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Zhejiang Ningbo315201 China Department of Control Engineering Faculty of Electrical Engineering Czech Technical University in Prague Technická 2 Prague 6160 00 Czech Republic Department of Materials

This study focused on depositing chromium coating on T91 steel and SIMP steel using magnetron sputtering. The corrosion behavior of the chromium coating was then examined in static LBE at temperatures of 600°C and 700°C. The findings revealed that T91 steel and SIMP steel, without chromium coating, displayed a thick duplex oxide scale on their surfaces. In contrast, the chromium coating resulted in the formation of a dense layer of chromium oxide (Cr2O3), effectively hindering oxygen diffusion and iron migration. Furthermore, the chromium coating remained securely attached to the matrix even after LBE corrosion. © 2023, The Authors. All rights reserved.

关键词： Magnetron sputtering

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Evaluating real time control strategies for UV water treatment pump systems

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Environmental Technology and Innovation 2025年 39卷

作者： Riahi, Said Zitouni, Naoufel Attafi, Rim Kraiem, Habib Flah, Aymen Mousa, Ahmad A. El-Bayeh, Claude Ziad Faculty of Sciences of Tunis El Manar University Carthage University Tunis1068 Tunisia Laboratory Analysis Design and Control of Systems Laboratory National Engineering School of Tunis university of Tunis El Manar Tunis1002 Tunisia Center for Scientific Research and Entrepreneurship Northern Border University Arar73213 Saudi Arabia National Engineering School of Gabes University of Gabes Zrig gabes6072 Tunisia Jadara University Research Center Jadara University Jordan Applied Science Research Center Applied Science Private University Amman11931 Jordan ENET Centre CEET VSB-Technical University of Ostrava Ostrava Czech Republic Department of Basic Sciences Middle East University Amman11831 Jordan Department of Electrical Engineering Bayeh Institute AmchitI205 Lebanon

The purpose of water treatment using ultraviolet radiation is to disrupt the development and multiplication of microorganisms byinhibiting their growth and reproduction. Ultraviolet treatment has emerged as a cost-effective solution for producing clean and potable water of optimal quality, especially in regions where access is challenging and critical. UV water treatment is a sophisticated process that necessitates the collaboration of multidisciplinary teams to address scientific aspects. The implementation of control systems faces challenges, including non-linearity, uncertainty, and latency. Given the significance of water treatment through UV radiation and the imperative to ensure water quality, it is crucial to control both the lamp intensity (UVDose) and the water flow. The main objective of this article is to implement a sliding mode control law and state feedback for the motor of the centrifugal pump using the Bond Graph approach. The aim is to regulate the motor speed and, consequently, the water flow rate. This enables the influencing of the bacteriological attack time of the water, where the exposure time of water to the UV lamp determines the treatment result. The experimental results obtained, along with a comparative study, have allowed us to emphasize the robustness of sliding mode control in comparison to state feedback control. These studies were conducted following parametric variations applied to the different parameters of the motor pump. Design of the UV water treatment system powered by a photovoltaic source © 2025 The Authors

关键词： State feedback

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Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study

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Journal of Medical Internet Research 2024年第1期26卷 e48443页

作者： Lee, You-Qian Chen, Ching-Tai Chen, Chien-Chang Lee, Chung-Hong Chen, Peitsz Wu, Chi-Shin Dai, Hong-Jie Dialogue System Technical Department Asustek Computer Inc Taipei Taiwan Intelligent System Laboratory Department of Electrical Engineering College of Electrical Engineering and Computer Science National Kaohsiung University of Science and Technology Kaohsiung Taiwan Department of Bioinformatics and Medical Engineering Asia University Taichung Taiwan Center for Precision Health Research Asia University Taichung Taiwan Electromagnetic Sensing Control and AI Computing System Laboratory Department of Electrical Engineering College of Electrical Engineering and Computer Science National Kaohsiung University of Science and Technology Kaohsiung Taiwan Knowledge Discovery and Data Mining Lab Department of Electrical Engineering College of Electrical Engineering and Computer Science National Kaohsiung University of Science and Technology Kaohsiung Taiwan Department of Chemical Engineering Feng Chia University Taichung Taiwan National Center for Geriatrics and Welfare Research National Health Research Institutes Zhunan Taiwan National Institute of Cancer Research National Health Research Institutes Tainan Taiwan School of Post-Baccalaureate Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan Center for Big Data Research Kaohsiung Medical University Kaohsiung Taiwan

Background: The widespread use of electronic health records in the clinical and biomedical fields makes the removal of protected health information (PHI) essential to maintain privacy. However, a significant portion of information is recorded in unstructured textual forms, posing a challenge for deidentification. In multilingual countries, medical records could be written in a mixture of more than one language, referred to as code mixing. Most current clinical natural language processing techniques are designed for monolingual text, and there is a need to address the deidentification of code-mixed text. Objective: The aim of this study was to investigate the effectiveness and underlying mechanism of fine-tuned pretrained language models (PLMs) in identifying PHI in the code-mixed context. Additionally, we aimed to evaluate the potential of prompting large language models (LLMs) for recognizing PHI in a zero-shot manner. Methods: We compiled the first clinical code-mixed deidentification data set consisting of text written in Chinese and English. We explored the effectiveness of fine-tuned PLMs for recognizing PHI in code-mixed content, with a focus on whether PLMs exploit naming regularity and mention coverage to achieve superior performance, by probing the developed models’ outputs to examine their decision-making process. Furthermore, we investigated the potential of prompt-based in-context learning of LLMs for recognizing PHI in code-mixed text. Results: The developed methods were evaluated on a code-mixed deidentification corpus of 1700 discharge summaries. We observed that different PHI types had preferences in their occurrences within the different types of language-mixed sentences, and PLMs could effectively recognize PHI by exploiting the learned name regularity. However, the models may exhibit suboptimal results when regularity is weak or mentions contain unknown words that the representations cannot generate well. We also found that the availability of cod

关键词： ChatGPT code mixing deidentification electronic health record large language model pretrained language model

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Topical Issue Scientific Machine Learning (1/2)

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GAMM Mitteilungen 2021年第1期44卷 e202100010-e202100010页

作者： Benner, Peter Klawonn, Axel Stoll, Martin Computational Methods in Systems and Control Theory Max Planck institute for Dynamics of Complex Technical Systems Magdeburg Germany Fakultät für Mathematik Otto-von-Guericke Universität Magdeburg Germany Department of Mathematics and Computer Science University of Cologne Germany Center for Data and Simulation Science University of Cologne Germany Chair of Scientific Computing Department of Mathematics TU Chemnitz Germany

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Sub-femtonewton force sensing in solution by super-resolved photonic force microscopy (Jun, 10.1038/s41566-024-01462-7, 2024)

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NATURE PHOTONICS 2024年第9期18卷 998-998页

作者： Shan, Xuchen Ding, Lei Wang, Dajing Wen, Shihui Shi, Jinlong Chen, Chaohao Wang, Yang Zhu, Hongyan Huang, Zhaocun Wang, Shen S. J. Zhong, Xiaolan Liu, Baolei Reece, Peter John Ren, Wei Hao, Weichang Lu, Xunyu Lu, Jie Su, Qian Peter Chang, Lingqian Sun, Lingdong Jin, Dayong Jiang, Lei Wang, Fan Beihang University School of Physics Beijing People’s Republic of China (GRID:grid.64939.31) (ISNI:0000 0000 9999 1211) University of Technology Sydney School of Biomedical Engineering Faculty of Engineering and Information Technology Sydney Australia (GRID:grid.117476.2) (ISNI:0000 0004 1936 7611) RMIT University Centre for Atomaterials and Nanomanufacturing School of Science Melbourne Australia (GRID:grid.1017.7) (ISNI:0000 0001 2163 3550) University of Technology Sydney Institute for Biomedical Materials and Devices (IBMD) School of Mathematical and Physical Sciences Faculty of Science Sydney Australia (GRID:grid.117476.2) (ISNI:0000 0004 1936 7611) The Australian National University Australian Research Council Centre of Excellence for Transformative Meta-Optical Systems Department of Electronic Materials Engineering Research School of Physics Canberra Australia (GRID:grid.1001.0) (ISNI:0000 0001 2180 7477) Beihang University Key Laboratory of Biomechanics and Mechanobiology (Ministry of Education) Beijing Advanced Innovation Center for Biomedical Engineering School of Biological Science and Medical Engineering Beijing People’s Republic of China (GRID:grid.64939.31) (ISNI:0000 0000 9999 1211) University of Melbourne Computing and Information Systems Department Melbourne School of Engineering Melbourne Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X) The University of New South Wales School of Physics Sydney Australia (GRID:grid.1005.4) (ISNI:0000 0004 4902 0432) Shaanxi Normal University School of Chemistry & Chemical Engineering Xi’an People’s Republic of China (GRID:grid.412498.2) (ISNI:0000 0004 1759 8395) The University of New South Wales Particles and Catalysis Research Laboratory School of Chemical Engineering Sydney Australia (GRID:grid.1005.4) (ISNI:0000 0004 4902 0432) University of Technology Sydney Australian Artificial Intelligence Institute Faculty of Engineering and IT Sydney Australia (GRID:grid.117476.2) (ISNI:0000 0004 1936 7611) University of

Precise force measurement is critical to probe biological events and physics processes, spanning from molecular motor’s motion to the Casimir effect, as well as the detection of gravitational waves. Yet, despite extensive technological developments, the three-dimensional nanoscale measurement of weak forces in aqueous solutions still faces major challenges. Techniques that rely on optically trapped nanoprobes are of significant potential but are beset with limitations, including probe heating induced by high trapping power, undetectable scattering signals and localization errors. Here we report the measurement of the long-distance interaction force in aqueous solutions with a minimum detected force value of 108.2 ± 510.0 attonewton. To achieve this, we develop a super-resolved photonic force microscope based on optically trapped lanthanide-doped nanoparticles coupled with nanoscale three-dimensional tracking-based force sensing. The tracking method leverages neural-network-empowered super-resolution localization, where the position of the force probe is extracted from the optical-astigmatism-modified point spread function. We achieve a force sensitivity down to 1.8 fN Hz–1/2, which approaches the nanoscale thermal limit. We experimentally measure electrophoresis forces acting on single nanoparticles as well as the surface-induced interaction force on a single nanoparticle. This work opens the avenue of nanoscale thermally limited force sensing and offers new opportunities for detecting sub-femtonewton forces over long distances and biomechanical forces at the single-molecule ***-resolved photonic force microscopy employs the fluorescence of lanthanide-doped nanoparticles as a force probe, enabling the measurement of sub-femtonewton forces with a sensitivity of 1.8 fN Hz–1/2, approaching the thermal limit.

关键词： Electrophoresis

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Neuromorphic hybrid systems based on polarizable thin film-coated silicon nanowire field-effect transistors

Neuromorphic hybrid systems based on polarizable thin film-c...

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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Luis Antonio Panes-Ruiz Bergoi Ibarlucea Eunhye Baek SangWook Park Chang Ki Baek Xinliang Feng Gianaurelio Cuniberti Max Bergmann Center and Institute of Materials Science Technical University of Dresden Dresden Germany Center for Brain-Inspired Computing Research (CBICR) Department of Precision Instruments Tsinghua University Beijing China Faculty of Chemistry and Food Chemistry Technical University of Dresden Center for advancing electronics Dresden (cfaed) Dresden Germany Department of Creative IT Engineering Pohang University of Science and Technology Pohang Republic of Korea

We present two approaches for the development of hybrid neurotransistors based on the combination of polarizable thin films on silicon nanowires field-effect transistors for the emulation of signal processing by neurons. The polarizing properties of the films coming from the ion redistribution under bias voltage provide the systems with a memristive behavior needed to achieve the neuronal intrinsic plasticity using ionic migration in the neuron membrane at a hardware level.

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