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2024 IEEE International Conference on Big Data, BigData 2024

作者： Kim, Minsu Kim, Sol Park, Byung Oak Ridge National Laboratory Comp. Sci. & Math. Division Oak RidgeTN United States Rice University College of Engineering and Computing HoustonTX United States

ISBN: (纸本)9798350362480

This study introduces a sophisticated data-driven framework for analyzing Electronic Health Records (EHRs) using transformer-based models to identify and disentangle overlapping treatment contexts. The framework leverages a preprocessing pipeline that transforms structured procedural codes into semantically enriched descriptive text, enabling the use of attention mechanisms to cluster medical events into treatment milestones - cohesive and distinct components of care processes. The methodology is rigorously validated using synthetic datasets derived from the MIMIC-III database, designed to simulate the heterogeneity and overlapping procedural contexts characteristic of real-world EHR scenarios. Quantitative evaluation highlights the framework's robustness in disentangling concurrent care pathways, with attention metrics and unsupervised clustering approaches demonstrating the ability to preserve intra-context relationships while distinguishing inter-context dependencies. By addressing challenges inherent in data heterogeneity, this approach provides a foundation for uncovering complex treatment patterns, advancing clinical decision-making, and optimizing resource allocation in diverse healthcare environments. © 2024 IEEE.

关键词： Electronic health record

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BERT Goes to SQL School: Improving Automatic Grading of SQL Statements

BERT Goes to SQL School: Improving Automatic Grading of SQL ...

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2023 Congress in Computer Science, Computer Engineering, and Applied computing, CSCE 2023

作者： Rivas, Pablo Schwartz, Donald R. Quevedo, Ernesto School of Eng. & Computer Science Baylor University Dept. of Computer Science United States School of Computer Science & Math. Marist College Dept. of Computing Technology United States

ISBN: (纸本)9798350327595

Automated grading of SQL queries is a challenging task due to the complexity of the language and the variety of acceptable solutions for a given problem. In this paper, we propose a novel approach that leverages deep learning with a BERT model to understand the syntax and semantics of SQL statements. By training BERT on a dataset of SQL queries and their corresponding grades, we create a model that can automatically grade new questions accurately. Our experiments demonstrate that the proposed methodology achieves high accuracy and consistency in grading SQL queries, outperforming existing state-of-the-art models. Furthermore, we provide an analysis of the model's explainability, revealing a new capability that can be extremely beneficial for understanding the decision-making process. Overall, our work demonstrates the potential of deep learning with BERT for improving the efficiency and accuracy of SQL query grading. © 2023 IEEE.

关键词： bert deep learning machine learning natural language processing sql

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Leveraging BERT and Network-Based Attention Analysis for Identifying Treatment Milestones in EHRs

Leveraging BERT and Network-Based Attention Analysis for Ide...

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IEEE International Conference on Big Data

作者： Minsu Kim Sol Kim Byung Park Comp. Sci. & Math. Division Oak Ridge National Laboratory Oak Ridge TN USA College of Engineering and Computing Rice University Houston TX USA

ISBN: (数字)9798350362480

ISBN: (纸本)9798350362497

This study introduces a sophisticated data-driven framework for analyzing Electronic Health Records (EHRs) using transformer-based models to identify and disentangle overlapping treatment contexts. The framework leverages a preprocessing pipeline that transforms structured procedural codes into semantically enriched descriptive text, enabling the use of attention mechanisms to cluster medical events into treatment milestones—cohesive and distinct components of care processes. The methodology is rigorously validated using synthetic datasets derived from the MIMIC-III database, designed to simulate the heterogeneity and overlapping procedural contexts characteristic of real-world EHR scenarios. Quantitative evaluation highlights the framework’s robustness in disentangling concurrent care pathways, with attention metrics and unsupervised clustering approaches demonstrating the ability to preserve intra-context relationships while distinguishing inter-context dependencies. By addressing challenges inherent in data heterogeneity, this approach provides a foundation for uncovering complex treatment patterns, advancing clinical decision-making, and optimizing resource allocation in diverse healthcare environments.

关键词： Analytical models Adaptation models Attention mechanisms Decision making Medical services Transforms Transformers Data models Electronic medical records Testing

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Integrating Computer Science into Middle School Curricula Through Storytelling: A Lesson Plan on Beaded Bags of the Columbia Plateau 2023

Integrating Computer Science into Middle School Curricula Th...

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2nd ACM Conference on Global computing Education, CompEd 2023

作者： Do Amaral, Barbara Fasy, Brittany Terese Firth, Olivia Hancock, Stacey A. Jeffers, Patrick Komlos, Barbara Z. McCoy, Bradley Windchief, Sweeney Department of Education Montana State University United States School of Computing & Math. Sci. Montana State University United States School of Computing Montana State University United States Department of Mathematical Sciences Montana State University United States Dept. of American Indian Studies Aaniiih Nakoda College United States University of British Columbia Okanagan Canada

ISBN: (纸本)9798400700484

We aim to bring computer science (CS) to rural and American Indian students by blending American Indian storytelling practices with the educational computer programming environment called Alice. The lessons we develop cover CS concepts within the framework of the Content Standards of our state, and the Essential Understandings of American Indians. In this paper, we describe the Plateau Indian Beaded Bags lesson plan, its implementation, and the results of a lesson pilot. In the Plateau Indian Beaded Bags lesson, students learn about the beadwork of Columbia River Plateau-centered tribes. After viewing a picture of a beaded bag with a scene depicting a man on a horse in front of a woman with a tipi in the background, students are asked to construct a story based on this image. They then translate their story into code to create an animation of the story in Alice. Through this hands-on experience, students engage in algorithmic problem solving while using their imagination and creativity, increasing their exposure to, and interest in, CS. © 2023 ACM.

关键词： Students

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BERT Goes to SQL School: Improving Automatic Grading of SQL Statements

BERT Goes to SQL School: Improving Automatic Grading of SQL ...

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Computer Science, Computer Engineering, & Applied computing (CSCE), Congress in

作者： Pablo Rivas Donald R. Schwartz Ernesto Quevedo Dept. of Computer Science School of Eng. & Computer Science Baylor University Dept. of Computing Technology School of Computer Science & Math. Marist College

关键词：

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Millimeter-Wave Radar-Based Unsteady Vital Signs Monitoring for Smart Home

Millimeter-Wave Radar-Based Unsteady Vital Signs Monitoring ...

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IEEE International Conference on Communications (ICC)

作者： Jinhong Zhang Jiefan Qiu Ke Wang Kai Fang Ali Kashif Bashir Wei Wang ZJUTDeus Robot Team College of Computer Sci. and Tech. Zhejiang Univ. of Tech. Hangzhou China School of Math. and Computer Sci. Zhejiang A&F Univ. Hangzhou China Dept. of Computing and Mathematics Manchester Metropolitan Univ. Manchester UK Guangdong-Hong Kong-Macao Joint Lab for Emotion Intelligence and Pervasive Computing Artificial Intelligence Research Institute Shenzhen MSU-BIT Univ. Shenzhen China

ISBN: (数字)9781728190549

ISBN: (纸本)9781728190556

The millimeter-wave(mm-Wave) radar based on frequency-modulated continuous wave (FMCW) owns the advantages of non-contact, privacy protection, high resolution, and anti-interference, and it became the hot point that applying the radar in monitoring vital signs for smart home. However, most of current studies focus on how to improve the detection performance under the steady scenarios and give little consideration on the unsteady scenarios with physical interference. In this paper, we propose a method to detect vital signs under unsteady scenarios by a best-effort way. This method automatically differentiates between the steady state and motion state (unsteady) by identifying the motion type, and extracts the vital sign under steady state without physical motion interference. For this end, we first figure out feature spectrograms with range-main velocity information from motion features. And then, employ a sliding windows sampling method to construct data set, and apply ResNet-18 network model in the motion type identification (including steady state). Based on the motion type, the phase signal during steady state and leverage the variational mode decomposition (VMD) algorithm to analyze respiration/heart rate. Experiment results show that using ResNet-18, the recognition accuracy of the motion state and motion type is close to 97%, and the recognition delay is less than 1.1s. Meanwhile, the mean absolute errors of the respiration rate and heart rate drop to 1.7bpm and 3.4bpm respectively.

关键词： Privacy Smart homes Interference Millimeter wave radar Sampling methods Steady-state Object recognition

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The Unruh effect in slow motion

arXiv

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arXiv 2020年

作者： Vriend, Silas Grimmer, Daniel Martín-Martínez, Eduardo Dept. of Math. & Stat. McMaster University HamiltonONL8S 4S8 Canada University of Oxford Pembroke College St. Aldates OxfordOX1 1DW United Kingdom Institute for Quantum Computing University of Waterloo WaterlooONN2L 3G1 Canada Dept. Applied Math. University of Waterloo WaterlooONN2L 3G1 Canada Perimeter Institute for Theoretical Physics WaterlooONN2L 2Y5 Canada

We show under what conditions an accelerated detector (e.g., an atom/ion/molecule) thermalizes while interacting with the vacuum state of a quantum field in a setup where the detector’s acceleration alternates sign across multiple optical cavities. We show (non-perturbatively) in what regimes the probe ‘forgets’ that it is traversing cavities and thermalizes to a temperature proportional to its acceleration. Then we analyze in detail how this thermalization relates to the renowned Unruh effect. Finally, we use these results to propose an experimental testbed for the direct detection of the Unruh effect at relatively low probe speeds and accelerations, potentially orders of magnitude below previous proposals. Copyright © 2020, The Authors. All rights reserved.

关键词： Probes

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A second-order and nonuniform time-stepping maximum-principle preserving scheme for time-fractional Allen-Cahn equations

arXiv

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arXiv 2019年

作者： Liao, Hong-Lin Tang, Tao Zhou, Tao Department of Mathematics Nanjing University of Aeronautics and Astronautics Nanjing211106 China Department of Mathematics and International Center for Mathematics Southern University of Science and Technology Shenzhen Guangdong Province China Division of Science and Technology BNU-HKBU United International College Zhuhai Guangdong Province China NCMIS and LSEC Inst. of Compl. Math. and Sci./Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China

In this work, we present a second-order nonuniform time-stepping scheme for the time-fractional Allen-Cahn equation. We show that the proposed scheme preserves the discrete maximum principle, and by using the convolution structure of consistency error, we present sharp maximum-norm error estimates which reflect the temporal regularity. As our analysis is built on nonuniform time steps, we may resolve the intrinsic initial singularity by using the graded meshes. Moreover, we propose an adaptive time-stepping strategy for large time simulations. Numerical experiments are presented to show the effectiveness of the proposed scheme. This seems to be the first second-order maximum principle preserving scheme for the time-fractional Allen-Cahn *** Codes 35Q99, 65M06, 65M12, 74A50 Copyright © 2019, The Authors. All rights reserved.

关键词： Maximum principle

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Schur multipliers and mixed unitary maps

arXiv

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arXiv 2018年

作者： Harris, Samuel J. Levene, Rupert H. Paulsen, Vern I. Plosker, Sarah Rahaman, Mizanur Institute for Quantum Computing Dept. of Pure Math. University of Waterloo WaterlooONN2L 3G1 Canada School of Mathematics and Statistics University College Dublin Belfield Dublin 4 Ireland Department of Mathematics and Computer Science Brandon University BrandonMBR7A 6A9 Canada

We consider the tensor product of the completely depolar- ising channel on d×d matrices with the map of Schur multiplication by a k ×k correlation matrix and characterise, via matrix theory methods, when such a map is a mixed (random) unitary channel. When d = 1, this recovers a result of O'Meara and Pereira, and for larger d is equiva- lent to a result of Haagerup and Musat that was originally obtained via the theory of factorisation through von Neumann algebras. We obtain a bound on the distance between a given correlation matrix for which this tensor product is nearly mixed unitary and a correlation matrix for which such a map is exactly mixed unitary. This bound allows us to give an elementary proof of another result of Haagerup and Musat about the closure of such correlation matrices without appealing to the theory of von Neumann algebras. Copyright © 2018, The Authors. All rights reserved.

关键词： Tensors

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Divertor shaping with neutral baffling as a solution to the tokamak power exhaust challenge

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Communications Physics 2025年第1期8卷 1-15页

作者： Verhaegh, Kevin Harrison, James Moulton, David Lipschultz, Bruce Lonigro, Nicola Osborne, Nick Ryan, Peter Theiler, Christian Wijkamp, Tijs Brida, Dominik Cowley, Cyd Derks, Gijs Doyle, Rhys Federici, Fabio Kool, Bob Février, Olivier Hakola, Antti Henderson, Stuart Reimerdes, Holger Thornton, Andrew Vianello, Nicola Wischmeier, Marco Xiang, Lingyan Zychor, I. Zurita, M. Zuin, M. Zou, X. Zotta, V.K. Zohar, A. Zlobinski, M. Zimmermann, B. Zestanakis, P. Zerbini, M. Zebrowski, J. Zayachuk, Y. Zarzoso, D. Zanca, P. Zakharov, L. Zadvitskiy, G. Zaar, B. Yi, R. Yanovskiy, V. Yang, H. Yakovenko, Y. Yadykin, D. Xu, S. Xiang, L. Wyss, I. Wuethrich, C. Wojenski, A. Wischmeier, M. Wilson, T. Willensdorfer, M. Wijkamp, T. Wiesenberger, M. Wiesen, S. Widdowson, A. Weston, D. Wendler, N. Weisen, H. Weiland, M. Wauters, T. Wang, E. Wade, C. Vuoriheimo, T. Vu, N.M.T. Vondracek, P. Voldiner, I. Voitsekhovitch, I. Vogel, G. Vlad, M.O. Vincenzi, P. Vincent, B. Villone, F. Vignitchouk, L. Viezzer, E. Vicente, J. Vianello, N. Verona Rinati, G. Vermare, L. Verhaegh, K. Verdoolaege, G. Verdier, T. Veranda, M. Velarde Gallardo, L. Vecsei, M. Vartanian, S. Varje, J. Valera Rodriguez, J. Vanovac, B. Vann, R. van Rossem, M. Van Mulders, S. Van Eester, D. van Berkel, M. Valvis, S.I. Valovic, M. Vallar, M. Valisa, M. Valentini, A. Valcarcel, D.F. Usoltseva, M. Ugoletti, M. Tykhyy, A. Tsui, C. Tsitrone, E. Tsironis, C. Toscano Jiménez, M. Tookey, A. Tonello, E. Tomes, M. Tomasina, E. Tolias, P. Titarenko, A. Tierens, W. Tichit, Q. Thrysoe, A. Thornton, A. Thoren, E. Thomas, B. Tholerus, E. Theiler, C. Testa, D. Terranova, D. Terra, A. Tenaglia, A. Telesca, G. Taylor, D. Tardocchi, M. Tardini, G. Tamain, P. Tala, T. Tal, B. Szepesi, G. Szepesi, T. Svoboda, J. Suttrop, W. Sun, H.J. Sun, G.Y. Subba, F. Stuart, C.I. Strand, P. Stober, J. Stankunas, G. Stancar, Z. Stagni, A. Srinivasan, C. Spolladore, L. Spolaore, M. Spizzo, G. Spineanu, F. United Kingdom Atomic Energy Authority Culham United Kingdom Eindhoven University of Technology Eindhoven Netherlands York Plasma Institute University of York York United Kingdom University of Liverpool Liverpool United Kingdom Swiss Plasma Centre École Polytechnique Fédérale de Lausanne Lausanne Switzerland Dutch Institute for Fundamental Energy Research DIFFER Eindhoven Netherlands Max Planck Institute for Plasma Physics Garching Germany Dublin City University Dublin Ireland Oak Ridge National Laboratory Oak RidgeTN United States VTT Technical Research Centre of Finland Espoo Finland Consorzio RFX Padova Italy Institute of Plasma Physics of the CAS Prague 8 Czech Republic Graz University of Technology Graz Austria Aalto University Aalto Finland Institute for Plasma Science & Technology CNR Milan Italy Dept. of Applied Physics Ghent University Ghent Belgium Italy National Technical University of Athens Zografou Greece Dept. of Physics & Astronomy Uppsala University Uppsala Sweden Aix-Marseille Univ. CNRS PIIM UMR 7345 Marseille France Consorzio CREATE Naples Italy Aix-Marseille Univ. CNRS PIIM F-13397 Marseille France IRFM-CEA Centre de Cadarache St-Paul-lez-Durance France Centre for Energy Research Budapest Hungary University of Milano-Bicocca Milan Italy Universidad de Sevilla Seville Spain Dept. of Electrical & Electronic Engineering University of Cagliari Cagliari Italy Laboratorio Nacional de Fusión CIEMAT Madrid Spain Electromagnetic Engineering & Fusion Science KTH Royal Institute of Technology Stockholm Sweden Politecnico di Torino Turin Italy Dip. di Ing. Elettrica Elettronica e Informatica Univ. di Catania Catania Italy Barcelona Supercomputing Center Barcelona Spain Institut Jean Lamour CNRS-Univ. de Lorraine Vandoeuvre-lés-Nancy France Institute of Nuclear Physics Kraków Poland Forschungszentrum Jülich IEK-4 Plasmaphysik Jülich Germany Faculty of Math. & Natural Sciences Heinrich Heine Univ. Düsseldorf Düsseldor

Exhausting power from the hot fusion core to the plasma-facing components is one fusion energy’s biggest challenges. The MAST Upgrade tokamak uniquely integrates strong containment of neutrals within the exhaust area (divertor) with extreme divertor shaping capability. By systematically altering the divertor shape, this study shows the strongest evidence to date to our knowledge that long-legged divertors with a high magnetic field gradient (total flux expansion) deliver key power exhaust benefits without adversely impacting the hot fusion core. These benefits are already achieved with relatively modest geometry adjustments that are more feasible to integrate in reactor designs. Benefits include reduced target heat loads and improved access to, and stability of, a neutral gas buffer that ‘shields’ the target and enhances power exhaust (detachment). Analysis and model comparisons shows these benefits are obtained by combining multiple shaping aspects: long-legged divertors have expanded plasma-neutral interaction volume that drive reductions in particle and power loads, while total flux expansion enhances detachment access and stability. Containing the neutrals in the exhaust area with physical structures further augments these shaping benefits. These results demonstrate strategic variation in the divertor geometry and magnetic topology is a potential solution to one of fusion’s power exhaust challenge. (Figure presented.) © The Author(s) 2025.

关键词： Fusion reactor divertors

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