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The application of an extracellular vesicle-based biosensor in early diagnosis and prediction of chemoresponsiveness in ovarian cancer

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Cancer Letters 2024年 581卷 216533-216533页

作者： Tsang, Benjamin K. Asare-Werehene, Meshach Hunter, Rob Gerber, Emma Reunov, Arkadiy Brine, Isaiah Chang, Chia-Yu Chang, Chia-Ching Shieh, Dar-Bin Burger, Dylan Anis, Hanan Departments of Obstetrics & Gynecology and Cellular & Molecular Medicine Centre for Infection Immunity and Inflammation Interdisciplinary School of Health Sciences University of Ottawa Ottawa ON K1N 6N5 Canada Chronic Disease Program Ottawa Hospital Research Institute The Ottawa Hospital Ottawa ON K1Y 4E9 Canada Department of Biology St. Francis Xavier University 2320 Notre Dame Avenue Antigonish NS B2G 2W5 Canada School of Electrical Engineering and Computer Science Ottawa-Carleton Institute for Biomedical Engineering University of Ottawa Ottawa ON K1N 6N5 Canada Department of Biological Science and Department of Electrophysics Technology Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B) National Yang Ming Chiao Tung University Hsinchu 30068 Taiwan Institute of Basic Medical Science Institute of Oral Medicine and Department of Stomatology Advanced Optoelectronic Technology Center and Center for Micro/Nano Science and Technology National Cheng Kung University Hospital National Cheng Kung University Tainan 704 Taiwan Institute of Physics Academia Sinica Taipei 10529 Taiwan

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Directionality reduces the impact of epidemics in multilayer networks

arXiv

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arXiv 2019年

作者： Wang, Xiangrong Aleta, Alberto Lu, Dan Moreno, Yamir Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Netherlands Institute for Biocomputation and Physics of Complex Systems University of Zaragoza Zaragoza Spain Department of Theoretical Physics University of Zaragoza Spain ISI Foundation Turin Italy

The study of how diseases spread has greatly benefited from advances in network modeling. Recently, a class of networks known as multilayer graphs have been shown to describe more accurately many real systems, making it possible to address more complex scenarios in epidemiology such as the interaction between different pathogens or multiple strains of the same disease. In this work, we study in depth a class of networks that have gone unnoticed up to now, despite of its relevance for spreading dynamics. Specifically, we focus on directed multilayer networks, characterized by the existence of directed links, either within the layers or across layers. Using the generating function approach and numerical simulations of a stochastic susceptible-infected-susceptible (SIS) model, we calculate the epidemic threshold for these networks for different degree distributions of the networks. Our results show that the main feature that determines the value of the epidemic threshold is the directionality of the links connecting different layers, regardless of the degree distribution chosen. Our findings are of utmost interest given the ubiquitous presence of directed multilayer networks and the widespread use of disease-like spreading processes in a broad range of phenomena such as diffusion processes in social and transportation systems. Copyright © 2019, The Authors. All rights reserved.

关键词： Epidemiology

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Contribution to distribution systems technical and nontechnical losses estimation using WLS state estimator

Contribution to distribution systems technical and nontechni...

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2017 IEEE Power and Energy Society General Meeting, PESGM 2017

作者： Rossoni, Aquiles Braunstein, Sergio Halpern Daniel Trevizan, Rodrigo Bretas, Arturo Suman Bretas, Newton Geraldo Department of Electrical Systems Automation and Energy Federal University of Rio Grande Do sul UFRGS Porto Alegre Brazil Electrotechnical Department Sul-Rio-Grandense Federal Institute IFSUL Pelotas Brazil Department of Electrical and Computer Engineering University of Florida UF Gainesville United States Department of Electrical Engineering University of Sao Paulo USP São Carlos Brazil

ISBN: (纸本)9781538622124

This paper proposes contributions to the estimation of technical and non-technical losses in distribution systems considering the weighted least squares state estimator (WLS-SE). First, the relation between loss estimation and measurement errors is analyzed considering the linear state estimation model. Based on this analysis, a new measurement weighting is proposed considering the results of a method that identify suspect consumers. Additionally, the proposed method considers equality constrains to model zero injection buses in the state estimator. The method estimates technical losses in all segments and non-technical loses in all buses. A case study was performed in a distribution system with, respectively, 7 % and 6 % of non-technical and technical losses. The results of case study demonstrate the proposed method's is improved accuracy compared to the state of the art. Easy to implement computer routines built on the classical WLS state estimator highlights methods potential aspects for real-life applications. © 2017 IEEE.

关键词： Energy efficiency

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Author Correction: Greengenes2 unifies microbial data in a single reference tree

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Nature biotechnology 2024年第5期42卷 813页

作者： Daniel McDonald Yueyu Jiang Metin Balaban Kalen Cantrell Qiyun Zhu Antonio Gonzalez James T Morton Giorgia Nicolaou Donovan H Parks Søren M Karst Mads Albertsen Philip Hugenholtz Todd DeSantis Se Jin Song Andrew Bartko Aki S Havulinna Pekka Jousilahti Susan Cheng Michael Inouye Teemu Niiranen Mohit Jain Veikko Salomaa Leo Lahti Siavash Mirarab Rob Knight Department of Pediatrics University of California San Diego School of Medicine La Jolla CA USA. Department of Electrical and Computer Engineering University of California San Diego La Jolla CA USA. Bioinformatics and Systems Biology Program University of California San Diego La Jolla CA USA. Department of Computer Science and Engineering University of California San Diego La Jolla CA USA. School of Life Sciences Arizona State University Tempe AZ USA. Biodesign Center for Fundamental and Applied Microbiomics Arizona State University Tempe AZ USA. Biostatistics & Bioinformatics Branch Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institutes of Health Bethesda MD USA. Halicioglu Data Science Institute University of California San Diego La Jolla CA USA. Australian Centre for Ecogenomics School of Chemistry and Molecular Biosciences The University of Queensland St Lucia Queensland Australia. Department of Obstetrics and Gynecology Columbia University New York NY USA. Department of Chemistry and Bioscience Aalborg University Aalborg Denmark. Department of Informatics Second Genome Brisbane CA USA. Center for Microbiome Innovation Jacobs School of Engineering University of California San Diego La Jolla CA USA. Finnish Institute for Health and Welfare Helsinki Finland. Institute for Molecular Medicine Finland FIMM-HiLIFE Helsinki Finland. Division of Cardiology Brigham and Women's Hospital Boston MA USA. Cedars-Sinai Medical Center Los Angeles CA USA. Cambridge Baker Systems Genomics Initiative Baker Heart and Diabetes Institute Melbourne Victoria Australia. Cambridge Baker Systems Genomics Initiative Department of Public Health and Primary Care University of Cambridge Cambridge UK. Division of Medicine Turku University Hospital and University of Turku Turku Finland. Sapient Bioanalytics LLC San Diego CA USA. Department of Computing University of Turku Turku Finland. Department of Pediatrics Uni

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Correction: Machine learning predicts pulmonary long Covid sequelae using clinical data

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BMC medical informatics and decision making 2025年第1期25卷 68页

作者： Ermanno Cordelli Paolo Soda Sara Citter Elia Schiavon Christian Salvatore Deborah Fazzini Greta Clementi Michaela Cellina Andrea Cozzi Chandra Bortolotto Lorenzo Preda Luisa Francini Matteo Tortora Isabella Castiglioni Sergio Papa Diego Sona Marco Alì Unit of Computer Systems and Bioinformatics Department of Engineering University Campus Bio-Medico of Rome Via Alvaro del Portillo 21 Rome 00128 Italy. Unit of Computer Systems and Bioinformatics Department of Engineering University Campus Bio-Medico of Rome Via Alvaro del Portillo 21 Rome 00128 Italy. paolo.soda@umu.se. Department of Diagnostics and Intervention Radiation Physics Biomedical Engineering Umeå University Universitetstorget 4 901 87 Umeå Sweden. paolo.soda@umu.se. Fondazione Bruno Kessler Via Sommarive 18 Trento 38123 Italy. Department of Physics University of Trento Via Sommarive 14 Trento 38123 Italy. DeepTrace Technologies S.R.L. Via Conservatorio 17 Milan 20122 MI Italy. Department of Science Technology and Society University School for Advanced Studies IUSS Pavia 27100 Pavia Italy. Department of Diagnostic Imaging and Stereotactic Radiosurgey Centro Diagnostico Italiano S.p.A. Via S. Saint Bon 20 Milan 20147 Italy. Radiology Department ASST Fatebenefratelli Sacco Piazza Principessa Clotilde 3 Milan 20121 Italy. Imaging Institute of Southern Switzerland (IIMSI) Ente Ospedaliero Cantonale (EOC) Lugano Switzerland. Radiology Unit Department of Clinical Surgical Diagnostic and Pediatric Sciences University of Pavia Corso Str. Nuova 65 Pavia 27100 Italy. Radiology Institute Fondazione IRCCS Policlinico San Matteo Viale Golgi 19 Pavia 27100 Italy. Department of Naval Electrical Electronics and Telecommunications Engineering University of Genova Via all'Opera Pia 11a Genoa 16145 Italy. Department of Physics G. Occhialini University of Milan-Bicocca 20133 Milan Italy. Bracco Imaging S.p.A. Via Caduti di Marcinelle 13 Milan 20134 Italy.

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Decentralized submodular maximization: Bridging discrete and continuous settings

arXiv

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arXiv 2018年

作者： Mokhtarix, Aryan Hassaniy, Hamed Karbasiz, Amin Laboratory for Information and Decision Systems Massachusetts Institute of Technology Department of Electrical and Systems Engineering University of Pennsylvania Department of Electrical Engineering and Computer Science Yale University

In this paper, we showcase the interplay between discrete and continuous optimization in network- structured settings. We propose the first fully decentralized optimization method for a wide class of non-convex objective functions that possess a diminishing returns property. More specifically, given an arbitrary connected network and a global continuous submodular function, formed by a sum of local functions, we develop Decentralized Continuous Greedy (DCG), a message passing algorithm that converges to the tight (1-1=e) approximation factor of the optimum global solution using only local computation and communication. We also provide strong convergence bounds as a function of network size and spectral characteristics of the underlying topology. Interestingly, DCG readily provides a simple recipe for decentralized discrete submodular maximization through the means of continuous relaxations. Formally, we demonstrate that by lifting the local discrete functions to continuous domains and using DCG as an interface we can develop a consensus algorithm that also achieves the tight (1 - 1=e) approximation guarantee of the global discrete solution once a proper rounding scheme is applied. Copyright © 2018, The Authors. All rights reserved.

关键词： Optimization

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A Convex Optimization Approach to Dynamic Programming in Continuous State and Action Spaces

arXiv

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arXiv 2018年

作者： Yang, Insoon Department of Electrical and Computer Engineering Automation and Systems Research Institute Seoul National University

A convex optimization-based method is proposed to numerically solve dynamic programs in continuous state and action spaces. This approach using a discretization of the state space has the following salient features. First, by introducing an auxiliary optimization variable that assigns the contribution of each grid point, it does not require an interpolation in solving an associated Bellman equation and constructing a control policy. Second, the proposed method approximates the optimal value function via convex programming with a uniform convergence property in the case of convex optimal value functions. We also propose a design method for a control policy of which performance converges uniformly to the optimum as the grid resolution becomes finer in this case. Third, when a nonlinear control-affine system is considered, the convex optimization approach provides an approximate control policy with a provable suboptimality bound. Fourth, for general cases, the proposed convex formulation of dynamic programming operators can be simply modified as a nonconvex bi-level program, in which the inner problem is a linear program, without losing uniform convergence properties if a globally optimal solution to this bi-level program can be found. From our convex methods and analyses, we observe that convexity in dynamic programming deserves attention as it can play a critical role in obtaining a tractable and convergent numerical solution. Copyright © 2018, The Authors. All rights reserved.

关键词： Stochastic systems

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Towards Extractive Text Summarization using Multidimensional Knowledge Representation

Towards Extractive Text Summarization using Multidimensional...

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IEEE International Conference on Electro Information Technology

作者： Johannes Zenkert André Klahold Madjid Fathi Department of Electrical Engineering and Computer Science Institute of Knowledge Based Systems and Knowledge Management

Multidimensional knowledge representation (MKR) is the result of integrative text mining. Analysis results from individual text mining methods such as named entity recognition, sentiment analysis, or topic detection are represented as dimensions in a knowledge base to support knowledge discovery, visualization or complex computer-aided writing tasks. Extractive text summarization is a content-oriented task which uses available information from text to shorten its length in order to summarize it. In this regard, a MKR knowledge base provides a structure which is applicable as an innovative selection instrument for text summarization. This paper introduces cross-dimensional text summarization based on dimensional selection and filtering of results retrieved from MKR knowledge base.

关键词： Text Summarization Integrative Text Mining Knowledge Representation

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Analysis of Harmonics Detection and their Filtration by using Active Band Pass Filter for Domestic Appliances

Analysis of Harmonics Detection and their Filtration by usin...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Ehtisham Lodhi Zeeshan Lodhi Zhu Fenghua Gang Xiong Feiyue Wang Waheed ur Rehman Tariku Sinshaw The SKL for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Department of Electrical and Computer Engineering COMSATS University Islamabad Abbottabad Campus Pakistan Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Dongguan Guangdong China Beijing Engineering Research Center of Intellectual System and Technology Chinese Academy of Sciences Beijing China College of Mechanical Engineering and Applied Electronics Technologies Beijing University of Technology Beijing China

ISBN: (数字)9781728169040

ISBN: (纸本)9781728169057

In modern era, one of the rising power quality (PQ) concern is harmonics distortion (HD). The HD is usually produced by increase in the utilization of nonlinear user loads at domestic level. It not only spoils the PQ but also have harmful effects on electrical appliances. So, this paper presents a new approach to mitigate the HD in home appliances rapidly by utilizing the active band pass filter (ABPF). The fast Fourier transform (FFT) technique is employed for the detection of harmonics in appliances. The band pass filter dramatically affects the response time of active filter. The suggested control methodology is capable to eliminate harmonics from distorted input voltage waveform and provides a pure sinusoidal waveform. The prototype of this model is also implemented. Experimental results along with simulation show that the proposed model is quite effective in eliminating HD despite load variations and also useful to compensate the reactive power in electronic home appliances. Hence, this technique is cost effective for domestic users with high quality performance in all aspects.

关键词： Power harmonic filters Harmonic analysis Band-pass filters Harmonic distortion Home appliances

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Pedestrian Dead Reckoning with Turn-Based Correction

Pedestrian Dead Reckoning with Turn-Based Correction

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International Conference on Indoor Positioning and Indoor Navigation (IPIN)

作者： Yonghao Zhao Wai-Choong Wong Hari Krishna Garg Tianyi Feng Department of Electrical and Computer Engineering Smart Systems Institute National University of Singapore Singapore

Pedestrian dead reckoning (PDR) is a popular localization approach. However, PDR is error prone at turning points. During a turn, a small error in heading estimation can cause severe accumulated positioning errors thereafter. In this paper, we propose a turn-based correction approach which aims to reduce the potential accumulated errors caused by inaccurate heading estimations during turns. We consider a crowdsourcing environment in which previous users' data can help in the positioning of current users. For previous and current users moving in reverse directions and turn at the same position, we match the previous user's turning position with the current user's using Kullback-Leibler (KL) divergence based on the received signal strength (RSS) scans collected. Upon a match, the previous user's pre-turn positions can be used to improve the post-turn positions of the current user. Tests are done for different types of paths and the results show that the proposed approach can effectively reduce the PDR errors caused by inaccurate heading estimations at turning points.

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