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TechRxiv 2020年

作者： Aboud, Ahlem Rokbani, Nizar Fdhila, Raja Qahtani, Abdulrahman M. Almutiry, Omar Dhahri, Habib Hussain, Amir Alimi, Adel M. University of Sousse ISITCom Sousse4011 Tunisia BP 1173 Sfax3038 Tunisia High Institute of Applied Science and Technology of Sousse University of Sousse Tunisia Department of Computer Science College of Computers and Information Technology Taif University P.O.Box. 11099 Taif21944 Saudi Arabia College of Applied Computer Science King Saud University Riyadh Saudi Arabia Edinburgh Napier University School of Computing EdinburghEH10 5DT United Kingdom Department of Electrical and Electronic Engineering Science Faculty of Engineering and the Built Environment University of Johannesburg South Africa

Particle swarm optimization system based on the distributed architecture over multiple sub-swarms has shown its efficiency for static optimization and has not been studied to solve dynamic multi-objective problems (DMOPs). When solving DMOP, tracking the best solutions over time and ensuring good exploitation and exploration are the main challenging tasks. This study proposes a novel Dynamic Pareto bi-level Multi-Objective Particle Swarm Optimization (DPb-MOPSO) algorithm including two parallel optimization levels. At the first level, all solutions are managed in a single search space. When a dynamic change is successfully detected in the objective values, the Pareto ranking operator is used to enable a multiple sub-swarm’ subdivisions and processing which drives the second level of enhanced exploitation. A dynamic handling strategy based on random detectors is used to track the changes of the objective function due to time-varying parameters. A response strategy consisting in re-evaluate all unimproved solutions and replacing them with newly generated ones is also implemented. Inverted generational distance, mean inverted generational distance, and hypervolume difference metrics are used to assess the DPb-MOPSO performances. All quantitative results are analyzed using Friedman's analysis of variance while the Lyapunov theorem is used for stability analysis. Compared with several multi-objective evolutionary algorithms, the DPb-MOPSO is robust in solving 21 complex problems over a range of changes in both the Pareto optimal set and Pareto optimal front. For 13 UDF and ZJZ functions, DPb-MOPSO can solve 8/13 and 7/13 on IGD and HVD with moderate changes. For the 8 FDA and dMOP benchmarks, DPb-MOPSO was able to resolve 4/8 with severe change on MIGD, and 5/8 for moderate and slight changes. However, for the 3 kind of environmental changes, DPb-MOPSO assumes 4/8 of the solving function on IGD and HVD metrics. © 2020, CC BY.

关键词： Particle swarm optimization (PSO)

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Simulating NEMA characteristics of the modular total-body J-PET scanner - An economic total-body PET from plastic scintillators

arXiv

引用

arXiv 2021年

作者： Moskal, Pawel Kowalski, Pawel Shopa, Roman Y. Raczyński, Lech Baran, Jakub Chug, Neha Curceanu, Catalina Czerwiński, Eryk Dadgar, Meysam Dulski, Kamil Gajos, Aleksander Hiesmayr, Beatrix C. Kacprzak, Krzysztof Kaplon, Lukasz Kisielewska, Daria Klimaszewski, Konrad Kopka, Przemyslaw Korcyl, Gregorz Krawczyk, Nikodem Krzemień, Wojciech Kubicz, Ewelina Niedźwiecki, Szymon Parzych, Szymon Raj, Juhi Sharma, Sushil Shivani, Shivani Stȩpień, Ewa Tayefi, Faranak Wiślicki, Wojciech Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Cracow30-348 Poland Total-Body Jagiellonian-PET Laboratory Jagiellonian University Cracow30-348 Poland Department of Complex Systems National Centre for Nuclear Research Otwock-Świerk05-400 Poland Institute of Nuclear Physics Polish Academy of Sciences Cracow31-342 Poland INFN Laboratori Nazionali di Frascati Frascati00044 Italy Faculty of Physics University of Vienna Vienna1090 Austria High Energy Physics Division National Centre for Nuclear Research Otwock-Świerk05-400 Poland

The purpose of the presented research is estimation of the performance characteristics of the economic Total-Body Jagiellonian-PET system (TB-J-PET) constructed from plastic scintillators. The characteristics are estimated according to the NEMA NU-2-2018 standards utilizing the GATE package. The simulated detector consists of 24 modules, each built out of 32 plastic scintillator strips (each with cross section of 6 mm times 30 mm and length of 140 cm or 200 cm) arranged in two layers in regular 24-sided polygon circumscribing a circle with the diameter of 78.6 cm. For the TB-J-PET with an axial field-of-view (AFOV) of 200 cm, a spatial resolutions of 3.7 mm (transversal) and 4.9 mm (axial) are achieved. The noise equivalent count rate (NECR) peak of 630 kcps is expected at 30 kBq/cc activity concentration and the sensitivity at the center amounts to 38 cps/kBq. The scatter fraction is estimated to 36.2 %. The values of scatter fraction and spatial resolution are comparable to those obtained for the state-of-the-art clinical PET scanners and the first total-body tomographs: uExplorer and PennPET. With respect to the standard PET systems with AFOV in the range from 16 cm to 26 cm, the TB-J-PET is characterized by an increase in NECR approximately by factor of 4 and by the increase of the whole-body sensitivity by factor of 12.6 to 38. The time-of-flight resolution for the TB-J-PET is expected to be at the level of CRT = 240 ps (FWHM). For the TB-J-PET with an axial field-of-view (AFOV) of 140 cm, an image quality of the reconstructed images of a NEMA IEC phantom was presented with a contrast recovery coefficient (CRC) and a background variability parameters. The increase of the whole-body sensitivity and NECR estimated for the TB-J-PET with respect to current commercial PET systems makes the TB-J-PET a promising cost-effective solution for the broad clinical applications of total-body PET scanners. TB-J-PET may constitute an economic alternative for the crystal TB-PET

关键词： Molecular imaging

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Home-Based Online Multisensory Arm Rehabilitation Monitoring System

引用

Journal of Physics: Conference Series 2021年第1期1793卷

作者： Zakarya Farea Shaaf Muhammad Mahadi Abdul Jamil Nayef.A.M. Alduais Mohd Helmy Abd Wahab Radzi Ambar Muhammad Yusof Ismail Syed Zulkarnain Syed Idrus Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia (UTHM) Johor Malaysia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia (UTHM) Johor Malaysia Faculty of Applied Sciences and Humanities Universiti Malaysia PerlisPerlis Malaysia

Arm rehabilitation activities need to be monitored continuously in terms of analysis by experts within sufficient information to discover arm dysfunction and disorders such as stroke early. Although there are numerous previous researches about the home-based rehabilitation procedures and arm performance, some drawbacks still exist. For example, current rehabilitation devices are too complicated and required supervision by qualified therapists rather than their high prices. Moreover, data from these devices take much time to be sent to doctors for monitoring purpose. Therefore, this paper proposes a home-based online multisensory arm rehabilitation monitoring system. This system is designed through three main stages which are data acquisition, data processing, and data logging respectively. Data acquisition is by three different types of sensors; flex sensor (for arm's bending), force-sensitive resistors (for hand fingers' forces) and accelerometer (for arm movement directions). In data processing, Arduino Mega Controller and ESP Wi-Fi shield are used to design Internet of Things (IoT) web-based system (ThingSpeak) for data logging that allows doctors to diagnose stroke recovery and give feedbacks for patients. Overall, this project showed a robust system for arm rehabilitation using portable, user-friendly, and low power consumption devices at a low cost.

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Feasibility of the J-PET to monitor range of therapeutic proton beams

arXiv

引用

arXiv 2023年

作者： Baran, Jakub Borys, Damian Brzeziński, Karol Gajewski, Jan Silarski, Michal Chug, Neha Coussat, Aurélien Czerwiński, Eryk Dadgar, Meysam Dulski, Kamil Eliyan, Kavya V. Gajos, Aleksander Kacprzak, Krzysztof Kaplon, Lukasz Klimaszewski, Konrad Konieczka, Pawel Kopeć, Renata Korcyl, Grzegorz Kozik, Tomasz Krzemień, Wojciech Kumar, Deepak Lomax, Antony J. McNamara, Keegan Niedźwiecki, Szymon Olko, Pawel Panek, Dominik Parzych, Szymon del Rio, Elena Perez Raczyński, Lech Simbarashe, Moyo Sharma, Sushil Shivani Shopa, Roman Y. Skóra, Tomasz Skurzok, Magdalena Stasica, Paulina Stępień, Ewa L. Tayefi, Keyvan Tayefi, Faranak Weber, Damien C. Winterhalter, Carla Wiślicki, Wojciech Moskal, Pawel Rucinski, Antoni Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Kraków30-348 Poland Total-Body Jagiellonian-PET Laboratory Jagiellonian University Kraków30-348 Poland Center for Theranostics Jagiellonian University Kraków Poland Silesian University of Technology Department of Systems Biology and Engineering Gliwice Poland Biotechnology Centre Silesian University of Technology Gliwice Poland Institute of Nuclear Physics Polish Academy of Sciences Kraków31-342 Poland CSIC-UV Valencia Spain Department of Complex Systems National Centre for Nuclear Research Otwock-Świerk Poland High Energy Physics Division National Centre for Nuclear Research Otwock-Świerk Poland Department of Radiation Oncology Inselspital Bern University Hospital University of Bern Bern Switzerland Department of Radiation Oncology University Hospital of Zürich Zürich Switzerland Centre for Proton Therapy Paul Scherrer Institute Villigen Switzerland Physics Department ETH Zürich Zürich Switzerland National Oncology Institute National Research Institute Krakow Branch Krakow Poland

Objective: The aim of this work is to investigate the feasibility of the Jagiellonian Positron Emission Tomography (J-PET) scanner for intra-treatment proton beam range monitoring. Approach: The Monte Carlo simulation studies with GATE and PET image reconstruction with CASToR were performed in order to compare six J-PET scanner geometries (three dual-heads and three cylindrical). We simulated proton irradiation of a PMMA phantom with a Single Pencil Beam (SPB) and Spread-Out Bragg Peak (SOBP) of various ranges. The sensitivity and precision of each scanner were calculated, and considering the setup's cost-effectiveness, we indicated potentially optimal geometries for the J-PET scanner prototype dedicated to the proton beam range assessment. Main results: The investigations indicate that the double-layer cylindrical and triple-layer double-head configurations are the most promising for clinical application. We found that the scanner sensitivity is of the order of 10-5 coincidences per primary proton, while the precision of the range assessment for both SPB and SOBP irradiation plans was found below 1 mm. Among the scanners with the same number of detector modules, the best results are found for the triple-layer dual-head geometry. Significance: We performed simulation studies demonstrating that the feasibility of the J-PET detector for PET-based proton beam therapy range monitoring is possible with reasonable sensitivity and precision enabling its pre-clinical tests in the clinical proton therapy environment. Considering the sensitivity, precision and cost-effectiveness, the double-layer cylindrical and triple-layer dual-head J-PET geometry configurations seem promising for the future clinical application. Experimental tests are needed to confirm these findings. © 2023, CC BY.

关键词： Proton beams

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Deformations of unitary Howe dual pairs

arXiv

引用

arXiv 2020年

作者： Ciubotaru, Dan de Bie, Hendrik de Martino, Marcelo Oste, Roy Mathematical Institute University of Oxford OxfordOX2 6GG United Kingdom Department of Electronics and Information Systems Ghent University Krijgslaan 281 Gent9000 Belgium Department of Applied Mathematics Computer Science and Statistics Ghent University Krijgslaan 281-S9 Gent9000 Belgium

We study deformations of the Howe dual pairs (U(n), u(1, 1)) and (U(n), u(2|1)) to the context of a rational Cherednik algebra H1,c(G, E) associated with a real reflection group G acting on a real vector space E of even dimension. For each pair, we show that the Lie (super)algebra structure of one partner is preserved under the deformation, which leads to a multiplicity-free decomposition of the standard module or its tensor product with a spinor space. For the case where E is two-dimensional and G is a dihedral group, we provide complete descriptions for the deformed pair and the relevant *** Codes 16S80, 16W10, 16W22, 17B10 Copyright © 2020, The Authors. All rights reserved.

关键词： Deformation

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Global adoption of unified communication technologies as part of digital transformation in organizations: A cross-cultural perspective

Global adoption of unified communication technologies as par...

引用

Multikonferenz Wirtschaftsinformatik, MKWI 2018 - Multiconference on Business Informatics, MKWI 2018

作者： Meske, Christian Kissmer, Tobias Stieglitz, Stefan Freie Universität Berlin Department of Information Systems Berlin Germany University of Duisburg-Essen Department of Computer Science and Applied Cognitive Science Duisburg Germany

ISBN: (纸本)9783935786720

Unified Communication (UC) is increasingly introduced in global enterprises to support the digital interaction of employees. Cultural differences can influence such adoption of corresponding technologies and need to be considered by IT managers. In this study, we show how cultures with specific characteristics (according to Hofstede and Hall) adopt UC differently. This research paper is based on a unique dataset, consisting of communication data from over 6,000 users of a multi-national enterprise. During the period of six months, 4.6 million records were collected with the purpose of analyzing the adoption after the rollout of a UC technology. Eight subsidiaries in Asia, North America and Europe were analyzed. The results show that especially Hofstede's factors Individualism/Collectivism and Long-Term Orientation as well as Hall's factor Monochronic/Polychronic culture helped to explain post-implementation usage activity. The results help IT managers to understand potential cultural influences on introductions of according technologies in global enterprises. © 2018 Universitatsverlag Gottingen. All rights reserved.

关键词： Managers

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Automated Assessment of Balance Rehabilitation Exercises With a Data-Driven Scoring Model: Algorithm Development and Validation Study

引用

JMIR Rehabilitation and Assistive Technologies 2022年第3期9卷 e37229页

作者： Tsakanikas, Vassilios Gatsios, Dimitris Pardalis, Athanasios Tsiouris, Kostas M. Georga, Eleni Bamiou, Doris-Eva Pavlou, Marousa Nikitas, Christos Kikidis, Dimitrios Walz, Isabelle Maurer, Christoph Fotiadis, Dimitrios Unit of Medical Technology and Intelligent Information Systems Department of Materials Science and Engineering University of Ioannina Ioannina Greece Ear Institute University College London London United Kingdom Biomedical Research Centre Hearing and Deafness University College London Hospitals London United Kingdom Centre for Human and Applied Physiological Sciences King's College London London United Kingdom First Department of Otolaryngology-Head and Neck Surgery Hippokrateio General Hospital National Kapodistrian University of Athens Athens Greece Department of Neurology and Neuroscience Medical Center University of Freiburg Faculty of Medicine University of Freiburg Freiburg Germany Biomedical Research Institute Ioannina Greece

Background: Balance rehabilitation programs represent the most common treatments for balance disorders. Nonetheless, lack of resources and lack of highly expert physiotherapists are barriers for patients to undergo individualized rehabilitation sessions. Therefore, balance rehabilitation programs are often transferred to the home environment, with a considerable risk of the patient misperforming the exercises or failing to follow the program at all. Holobalance is a persuasive coaching system with the capacity to offer full-scale rehabilitation services at home. Holobalance involves several modules, from rehabilitation program management to augmented reality coach presentation. Objective: The aim of this study was to design, implement, test, and evaluate a scoring model for the accurate assessment of balance rehabilitation exercises, based on data-driven techniques. Methods: The data-driven scoring module is based on an extensive data set (approximately 1300 rehabilitation exercise sessions) collected during the Holobalance pilot study. It can be used as a training and testing data set for training machine learning (ML) models, which can infer the scoring components of all physical rehabilitation exercises. In that direction, for creating the data set, 2 independent experts monitored (in the clinic) 19 patients performing 1313 balance rehabilitation exercises and scored their performance based on a predefined scoring rubric. On the collected data, preprocessing, data cleansing, and normalization techniques were applied before deploying feature selection techniques. Finally, a wide set of ML algorithms, like random forests and neural networks, were used to identify the most suitable model for each scoring component. Results: The results of the trained model improved the performance of the scoring module in terms of more accurate assessment of a performed exercise, when compared with a rule-based scoring model deployed at an early phase of the system (k-statistic valu

关键词： balance rehabilitation exercises exercise evaluation persuasive coaching system scoring model

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Why is the Winner the Best?

Why is the Winner the Best?

引用

Conference on computer Vision and Pattern Recognition (CVPR)

作者： M. Eisenmann A. Reinke V. Weru M. D. Tizabi F. Isensee T. J. Adler S. Ali V. Andrearczyk M. Aubreville U. Baid S. Bakas N. Balu S. Bano J. Bernal S. Bodenstedt A. Casella V. Cheplygina M. Daum M. De Bruijne A. Depeursinge R. Dorent J. Egger D. G. Ellis S. Engelhardt M. Ganz N. Ghatwary G. Girard P. Godau A. Gupta L. Hansen K. Harada M. Heinrich N. Heller A. Hering A. Huaulmé P. Jannin A. E. Kavur O. Kodym M. Kozubek J. Li H. Li J. Ma C. Martín-Isla B. Menze A. Noble V. Oreiller N. Padoy S. Pati K. Payette T. Rädsch J. Rafael-Patiño V. Singh Bawa S. Speidel C. H. Sudre K. Van Wijnen M. Wagner D. Wei A. Yamlahi M. H. Yap C. Yuan M. Zenk A. Zia D. Zimmerer D. Aydogan B. Bhattarai L. Bloch R. Brüngel J. Cho C. Choi Q. Dou I. Ezhov C. M. Friedrich C. Fuller R. R. Gaire A. Galdran Á. García Faura M. Grammatikopoulou S. Hong M. Jahanifar I. Jang A. Kadkhodamohammadi I. Kang F. Kofler S. Kondo H. Kuijf M. Li M. Luu T. Martinčič P. Morais M. A. Naser B. Oliveira D. Owen S. Pang J. Park S. Park S. Płotka E. Puybareau N. Rajpoot K. Ryu N. Saeed A. Shephard P. Shi D. Štepec R. Subedi G. Tochon H. R. Torres H. Urien J. L. Vilaça K. A. Wahid H. Wang J. Wang L. Wang X. Wang B. Wiestler M. Wodzinski F. Xia J. Xie Z. Xiong S. Yang Y. Yang Z. Zhao K. Maier-Hein P. F. Jäger A. Kopp-Schneider L. Maier-Hein Division of Intelligent Medical Systems German Cancer Research Center (DKFZ) Heidelberg Germany Helmholtz Imaging German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Division of Biostatistics German Cancer Research Center (DKFZ) Heidelberg Germany Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Engineering and Physical Sciences School of Computing University of Leeds Leeds UK Institute of Informatics School of Management HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland Sierre Switzerland Department of Nuclear Medicine and Molecular Imaging Lausanne University Hospital Lausanne Switzerland Technische Hochschule Ingolstadt Ingolstadt Germany Center for Artificial Intelligence and Data Science for Integrated Diagnostics (AI2D) and Center for Biomedical Image Computing and Analytics (CBICA) University of Pennsylvania Philadelphia PA USA Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Department of Radiology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Department of Radiology University of Washington Seattle WA USA Department of Computer Science Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) University College London London UK Universitat Autònoma de Barcelona & Computer Vision Center Barcelona Spain Division of Translational Surgical Oncology National Center for Tumor Diseases (NCT/UCC) Dresden Dresden Germany Department of Advanced Robotics Istituto Italiano di Tecnologia Italy Department of Electronics Information and Bioengineering Politecnico di Milano Milan Italy IT University of Copenhagen Copenhagen Denmark Department of General Visceral and Transplantation Surgery Heidelberg University Hospital Heidelberg Germany Department of Radiology and Nuc

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from these competitions. Do they really generate scientific progress? What are common and successful participation strategies? What makes a solution superior to a competing method? To address this gap in the literature, we performed a multicenter study with all 80 competitions that were conducted in the scope of IEEE ISBI 2021 and MICCAI 2021. Statistical analyses performed based on comprehensive descriptions of the submitted algorithms linked to their rank as well as the underlying participation strategies revealed common characteristics of winning solutions. These typically include the use of multi-task learning (63%) and/or multi-stage pipelines (61%), and a focus on augmentation (100%), image preprocessing (97%), data curation (79%), and post-processing (66%). The “typical” lead of a winning team is a computer scientist with a doctoral degree, five years of experience in biomedical image analysis, and four years of experience in deep learning. Two core general development strategies stood out for highly-ranked teams: the reflection of the metrics in the method design and the focus on analyzing and handling failure cases. According to the organizers, 43% of the winning algorithms exceeded the state of the art but only 11% completely solved the respective domain problem. The insights of our study could help researchers (1) improve algorithm development strategies when approaching new problems, and (2) focus on open research questions revealed by this work.

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The impact of user behaviours on the socialisation process in enterprise social networks 29

The impact of user behaviours on the socialisation process i...

引用

29th Australasian Conference on information systems, ACIS 2018

作者： Hüllmann, Joschka Kroll, Tobias Department of Information Systems University of Münster Münster Germany Department of Computer Science and Applied Cognitive Science University of Duisburg-Essen Duisburg Germany

The success of teams in enterprise social networks (ESN) is of high importance in today’s project-based and digitised work environments. In this context, onboarding of new hires or allocated team members means the adoption of group characteristics and behaviours. Studies identified cohesion and trust as part of the socialisation process and found communication behaviours that facilitate socialisation. ESN not only enable efficient communication or relationship building, they also make the socialisation processes visible and analysable. In this paper, we propose to use metrics from social network analysis (e.g. extraversion, openness and proactiveness) to operationalise communication behaviours identified as positive for socialisation. First evaluations with two ESN data sets in OLS, beta regression and multilevel models sparsely support the influence on closeness, which we expect to reflect the level of group integration. © 2018 Joschka Hüllmann and Tobias Kroll.

关键词： Behavioral research

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Reversible modulation of metal-insulator transition in VO2 via chemically-induced oxygen migration

arXiv

引用

arXiv 2021年

作者： Han, Kun Wang, Hanyu Wu, Liang Cao, Yu Qi, Dong-Chen Li, Changjian Huang, Zhen Li, Xiao Wang, X. Renshaw Information Materials and Intelligent Sensing Laboratory of Anhui Province Institutes of Physical Science and Information Technology Anhui University Hefei230601 China Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 21 Nanyang Link Singapore637371 Singapore School of Physics and Technology Nanjing Normal University Nanjing210023 China Faculty of Material Science and Engineering Kunming University of Science and Technology Yunnan Kunming650093 China Institute for New Materials Foshan528247 China Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore117583 Singapore Centre for Materials Science School of Chemistry and Physics Queensland University of Technology BrisbaneQLD4001 Australia Department of Materials Science and Engineering Southern University of Science and Technology Guangdong Shenzhen518055 China School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Ave Singapore639798 Singapore

Metal-insulator transitions (MIT), an intriguing correlated phenomenon induced by the subtle competition of the electrons' repulsive Coulomb interaction and kinetic energy, is of great potential use for electronic applications due to the dramatic change in resistivity. Here, we demonstrate a reversible control of MIT in VO2 films via oxygen stoichiometry engineering. By facilely depositing and dissolving a water-soluble yet oxygen-active Sr3Al2O6 capping layer atop the VO2 at room temperature, oxygen ions can reversibly migrate between VO2 and Sr3Al2O6, resulting in a gradual suppression and a complete recovery of MIT in VO2. The migration of the oxygen ions is evidenced in a combination of transport measurement, structural characterization and first-principles calculations. This approach of chemically-induced oxygen migration using a water-dissolvable adjacent layer could be useful for advanced electronic and iontronic devices and studying oxygen stoichiometry effects on the MIT. Copyright © 2021, The Authors. All rights reserved.

关键词： Vanadium dioxide

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