Search results for: UNRESCOARSE GRAINING - Bridge of Knowledge

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Search results for: UNRESCOARSE GRAINING

Search results for: UNRESCOARSE GRAINING

  • Exploring Neural Networks for Musical Instrument Identification in Polyphonic Audio

    Publication

    - IEEE INTELLIGENT SYSTEMS - Year 2024

    The purpose of this paper is to introduce neural network-based methods that surpass state-of-the-art (SOTA) models, either by training faster or having simpler architecture, while maintaining comparable effectiveness in musical instrument identification in polyphonic music. Several approaches are presented, including two authors’ proposals, i.e., spiking neural networks (SNN) and a modular deep learning model named FMCNN (Fully...

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  • DOROTKA, czyli Doskonalenie Organizacji, ROzwoju oraz Tworzenia Kursów Akademickich przez Internet.

    Publication

    - Year 2005

    W artykule zaprezentowano dedykowaną platformę wspierającą kształcenie na odległość opracowaną i uruchomioną w ramach projektu Leonardo da Vinci TeleCAD (Teleworkers Training for CAD System Users, 1998-2001), wykorzystywaną w latach 2000-2003 do wspomagania przedmiotu Podstawy Informatyki na Wydziale Inżynierii Lądowej Politechniki Gdańskiej. Przedstawiono również, bazujący na wieloletnich doświadczeniach, model DOROTKA (Doskonalenie...

  • Bartosz Jakub Myśliwiec dr n. med i n. o zdr.

    My name is Bartosz Jakub Myśliwiec. I am a doctor - doctor of medical sciences and health sciences - specialist in the field of internal diseases.Since 2022 I have been the Vice-Dean of the Faculty of Applied Sciences and the Head of the Department of Nursing at the Academy of Entrepreneurship Prince Kazimierz Kujawski in Inowrocław.In addition, since 2019 I have been acting as the deputy director for medical treatment - chief...

  • Deep Learning Basics 2023/24

    e-Learning Courses
    • K. Draszawka

    A course about the basics of deep learning intended for students of Computer Science. It includes an introduction to supervised machine learning, the architecture of basic artificial neural networks and their training algorithms, as well as more advanced architectures (convolutional networks, recurrent networks, transformers) and regularization and optimization techniques.

  • Wartość dodana akademickiej biblioteki „mobilnej” w kontekście programu Erasmus+ na przykładzie Biblioteki Politechniki Gdańskiej

    Publication

    - Year 2019

    Mobilność wynikająca z założeń programu Erasmus+ w uczelniach i bibliotekach akademickich to wszelkie działania polegające na realizowaniu zagranicznych wyjazdów szkoleniowych w tzw. stażowych miejscach docelowych w krajach-sygnatariuszach programu. Erasmus+ w bibliotekach akademickich umożliwia szeroko pojęte doskonalenie zawodowe, rezultatem którego może być uzyskana wartość dodana uwidoczniona w nabywaniu nowych doświadczeń...

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  • Szkolenie z regulaminu studiów oraz praw i obowiązków studenta/Training concerning study regulations, student rights and responsibilities 2022/2023

    e-Learning Courses
    • D. Nagórska
    • A. Paluch

  • Szkolenie z regulaminu studiów oraz praw i obowiązków studenta/Training concerning study regulations, student rights and responsibilities 2023/2024

    e-Learning Courses

  • Standard of living in Poland at regional level - classification with Kohonen self-organizing maps

    Publication

    The standard of living is spatially diversified and its analyzes enable shaping regional policy. Therefore, it is crucial to assess the standard of living and to classify regions due to their standard of living, based on a wide set of determinants. The most common research methods are those based on composite indicators, however, they are not ideal. Among the current critiques moved to the use of composite...

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  • Network society: a concept of smart information management

    Publication

    Automatic enhancement of Internet broadcasted news has been recently gaining increasing importance and interest. Existing applications and models of textual Event Detection in online media are based on the analysis of news distributed via RSS (Rich Site Summary called also Really Simple Syndication) channels or available at news websites. It assumes that each piece of news is equally available to the reader and, therefore, describes...

  • Study on effective front region thickness of PCM in thermal energy storage using a novel semi-theoretical model

    Publication

    Thermal energy storage in mobile applications, particularly battery of electric vehicles, is currently gaining a lot of importance. In this paper, a semi-theoretical time-dependent mathematical model of the phase change in a double shell thermal energy storage module has been developed where the inner tube is a heat exchange surface. An effective front region thickness for the melting and solidification process has been studied....

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  • Leszek Ziemczonek dr

    People

    University education 1973-1978 – Nicolaus Copernicus University in Toruń, University of Gdańsk in Gdańsk, Mathematical Physics, M. Sc. 1979 – Diploma of Postgraduate Studies, Pedagogics 1989 – Institute of Physics, Polish Academy of Sciences in Warsaw, Theoretical Physics, Ph. D. 2010-2012 – Diploma of Postgraduate Studies, Mathematics Training: ·         09.1983 – Trieste (Italy) – International Centre for Theoretical Physics...

  • Evaluation of the Greenness of Analytical Procedures

    This contributions introduces the need to develop the methods to evaluate analytical procedures in the light of green analytical chemistry. Green chemistry metrics are not applicable in analytical chemistry because they refer to the mass of product and no product with mass is generated during analytical determination. Analytical greenness evaluations are based on scoring - such as NEMI or Eco-scale or comparative analysis as it...

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  • Andrzej Okuniewski dr inż.

    Education 2010-2014: Department of Inorganic Chemistry, Faculty of Chemistry, Gdańsk University of TechnologyPhD in chemical sciences (chemical sciences - chemistry, inorganic chemistry) 2009-2010: Faculty of Chemistry, Gdańsk University of TechnologyMaster of Chemistry (applied chemistry) 2005-2009: Faculty of Chemistry, Gdańsk University of Technologychemical engineer (applied chemistry) 2002-2005: II High School Władysław Pniewski...

  • Oferta kształcenia a wymogi współczesnego rynku pracy

    Publication

    Współcześnie zmianom ulegają struktury gospodarek oraz sposoby gospodarowania poszczególnymi zasobami na rynkach. Wpływ na to mają nowoczesne technologie, procesy globalizacji i integracji. Obserwowane dynamiczne zmiany wymuszają włączenie się w proces unowocześniania różnych uczestników rynku. Jednym z nich są instytucje zajmujące się szeroko rozumianym kształceniem, które przygotowują zasoby pracy do wejścia na rynek pracy. Celem...

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  • Methods of Tire Rolling Resistance Measurements

    Publication

    Tire rolling resistance is one of the factors related to tire/road interaction that has important influence on road vehicles performance. Raising fuel price and increased concern related to the environmental changes result in growing interest in reduction of tire rolling resistance that influences fuel consumption, especially in free-flowing highway traffic with moderate speeds. There are several methods of tire rolling resistance measurements....

  • Low-Cost Multi-Objective Optimization Yagi-Uda Antenna in Multi-Dimensional Parameter Space

    Publication

    A surrogate-based technique for fast multi-objective optimization of a multi-parameter planar Yagi-Uda antenna structure is presented. The proposed method utilizes response surface approximation (RSA) models constructed using training samples obtained from evaluation of the low-fidelity antenna model. Utilization of the RSA models allowsfor fast determination of the best possible trade-offs between conflicting objectives in multi-objective...

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  • From Knowledge based Vision Systems to Cognitive Vision Systems: A Review

    Publication

    - Year 2018

    Computer vision research and applications have their origins in 1960s. Limitations in computational resources inherent of that time, among other reasons, caused research to move away from artificial intelligence and generic recognition goals to accomplish simple tasks for constrained scenarios. In the past decades, the development in machine learning techniques has contributed to noteworthy progress in vision systems. However,...

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  • Reduced-cost surrogate modeling of input characteristics and design optimization of dual-band antennas using response features

    In this article, a procedure for low-cost surrogate modeling of input characteristics of dual-band antennas has been discussed. The number of training data required for construction of an accurate model has been reduced by representing the antenna reflection response to the level of suitably defined feature points. The points are allocated to capture the critical features of the reflection characteristic, such as the frequencies...

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  • Performance‐driven modeling of compact couplers in restricted domains

    Fast surrogate models can play an important role in reducing the cost of EM-driven design closure of miniaturized microwave components. Unfortunately, construction of such models is challenging due to curse of dimensionality and wide range of geometry parameters that need to be included in order to make it practically useful. In this letter, a novel approach to design-oriented modeling of compact couplers is presented. Our method...

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  • Design-Oriented Constrained Modeling of Antenna Structures

    Publication

    - Year 2018

    Fast surrogate models are crucially important to reduce the cost of design process of antenna structures. Due to curse of dimensionality, standard (data-driven) modeling methods exhibit serious limitations concerning the number of independent geometry parameters that can be handled but also (and even more importantly) their parameter ranges. In this work, a design-oriented modeling framework is proposed in which the surrogate is...

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  • Toward Robust Pedestrian Detection With Data Augmentation

    Publication

    In this article, the problem of creating a safe pedestrian detection model that can operate in the real world is tackled. While recent advances have led to significantly improved detection accuracy on various benchmarks, existing deep learning models are vulnerable to invisible to the human eye changes in the input image which raises concerns about its safety. A popular and simple technique for improving robustness is using data...

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  • Enhanced uniform data sampling for constrained data‐driven modeling of antenna input characteristics

    Data-driven surrogates are the most popular replacement models utilized in many fields of engineering and science, including design of microwave and antenna structures. The primary practical issue is a curse of dimensionality which limits the number of independent parameters that can be accounted for in the modelling process. Recently, a performance-driven modelling technique has been proposed where the constrained domain of the...

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  • Methodology for Performing Bathymetric Measurements of Shallow Waterbodies Using an UAV, and their Processing Based on the SVR Algorithm

    Publication

    - MEASUREMENT - Year 2023

    State-of-art methods of bathymetric measurements for shallow waterbodies use Global Navigation Satellite System (GNSS) receiver, bathymetric Light Detection and Ranging (LiDAR) sensor or satellite imagery. Currently, photogrammetric methods with the application of Unmanned Aerial Vehicles (UAV) are gathering great importance. This publication aims to present step-by-step methodology for carrying out the bathymetric measurements...

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  • Pose classification in the gesture recognition using the linear optical sensor

    Publication

    Gesture sensors for mobile devices, which have a capability of distinguishing hand poses, require efficient and accurate classifiers in order to recognize gestures based on the sequences of primitives. Two methods of poses recognition for the optical linear sensor were proposed and validated. The Gaussian distribution fitting and Artificial Neural Network based methods represent two kinds of classification approaches. Three types...

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  • Video Classification Technology in a Knowledge-Vision-Integration Platform for Personal Protective Equipment Detection: An Evaluation

    Publication

    - Year 2018

    This work is part of an effort for the development of a Knowledge-Vision Integration Platform for Hazard Control (KVIP-HC) in industrial workplaces, adaptable to a wide range of industrial environments. This paper focuses on hazards resulted from the non-use of personal protective equipment (PPE), and examines a few supervised learning techniques to compose the proposed system for the purpose of recognition of three protective...

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  • How to Sort Them? A Network for LEGO Bricks Classification

    Publication

    LEGO bricks are highly popular due to the ability to build almost any type of creation. This is possible thanks to availability of multiple shapes and colors of the bricks. For the smooth build process the bricks need to properly sorted and arranged. In our work we aim at creating an automated LEGO bricks sorter. With over 3700 different LEGO parts bricks classification has to be done with deep neural networks. The question arises...

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  • NLITED - New Level of Integrated Techniques for Daylighting Education: Preliminary Data on the Use of an E-learning Platform

    Publication
    • F. Giuliani
    • N. Sokół
    • N. Gentile,
    • M. Khanie, Sarey
    • V. R. Lo Verso
    • F. Caffaro

    - Year 2022

    Project NLITED – New Level of Integrated Techniques for Daylighting Education - is an educational project for students and professionals. The project's objective is to create and develop an online eLearning platform with 32 eModules dedicated to daylight knowledge. The project also offers e-learners two summer school training where the theory is put into practice. The platform was launched on January 31, 2022. The paper...

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  • Investigating Noise Interference on Speech Towards Applying the Lombard Effect Automatically

    Publication

    - Year 2022

    The aim of this study is two-fold. First, we perform a series of experiments to examine the interference of different noises on speech processing. For that purpose, we concentrate on the Lombard effect, an involuntary tendency to raise speech level in the presence of background noise. Then, we apply this knowledge to detecting speech with the Lombard effect. This is for preparing a dataset for training a machine learning-based...

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  • Engineering education for smart grid systems in the quasi-industrial environment of the LINTE^2 laboratory

    Smart grid systems are revolutionising the electric power sector, integrating advanced technologies to enhance efficiency, reliability and sustainability. It is important for higher education to equip the prospective smart grid professional with the competencies enabling them to navigate through the related complexities and drive innovation. To achieve this, interdisciplinary education programmes are necessary, addressing inter...

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  • MagMax: Leveraging Model Merging for Seamless Continual Learning

    Publication
    • D. Marczak
    • B. Twardowski
    • T. Trzciński
    • S. Cygert

    - Year 2024

    This paper introduces a continual learning approach named MagMax, which utilizes model merging to enable large pre-trained models to continuously learn from new data without forgetting previously acquired knowledge. Distinct from traditional continual learning methods that aim to reduce forgetting during task training, MagMax combines sequential fine-tuning with a maximum magnitude weight selection for effective knowledge integration...

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  • Przydatność urządzenia zmechanizowanego do wyznaczania trwałości ściernic do przecinania ręcznego

    Publication

    W artykule przedstawiono porównawcze wyniki badań trwałości ściernic do przecinania ręcznego, zużywanych na dwóch urządzeniach: z całkowicie ręcznym prowadzeniem przez operatora narzędzia i na urządzeniu zautomatyzowanym symulującym warunki przecinania ręcznego ściernicą. Wykazano, że dla tych dwóch urządzeń nie ma istotnej statystycznie korelacji pomiędzy wartościami wskaźnika wydajności względnej GA, reprezentującego trwałość...

  • [AiU] Challenges and perspectives of contemporary architecture and urbanism

    e-Learning Courses
    • J. Borucka
    • S. Kowalski

    This course is compulsory for PhD students assigned to Architecture and Urbanism tracks at Doctoral School at Gdańsk University of Technology. The course is conducted by prof. Giovanna Acampa, Kore University of Enna Course type: workshops Total hours of training: 15 teaching hours

  • [AiU] Sustainable Design and Environmental Changes

    e-Learning Courses
    • J. Borucka
    • S. Kowalski

    This course is compulsory for PhD students assigned to Architecture and Urbanism tracks at Doctoral School at Gdańsk University of Technology. The course is conducted by prof. Giovanna Acampa, Kore University of Enna Course type: workshops Total hours of training: 15 teaching hours

  • Magdalena Brzozowska-Woś dr hab. inż.

    Magdalena Brzozowska-Woś is a graduate of the Faculty of Management and Economics of the Gdańsk University of Technology (specialization: management systems). She is also a graduate of Postgraduate Studies in Advertising (Faculty of Management and Economics, GUT) and Postgraduate Studies in Public Relations (SWPS University of Humanities and Social Sciences). In the years 2000-2003, she cooperated with Panorama Internet sp. z o....

  • Szkolenie z platformy eStudent - 2024/2025

    e-Learning Courses
    • D. Czajkowska
    • A. Nikodem
    • M. Joskowski
    • G. Czajka

    Ten kurs został przygotowany przez Centrum Usług Informatycznych dla studentów i doktorantów Politechniki Gdańskiej. Odbycie kursu i rozwiązanie quizu jest warunkiem zaliczenia przedmiotu „Szkolenie z platformy eStudent". This course has been prepared by the Centre of Information Services for students and PhD students at Gdańsk University of Technology. To get a credit for “eStudent platform training” you have to do the course...

  • EU_ALMPO EU_ ACTIVE LABOUR MARKET POLICIES OBSERVATORY

    Projects

    Project manager: dr hab. Łukasz Sienkiewicz   Financial Program Name: HORYZONT EUROPA

    Project realized in Department of Entrepreneurship and Business Law according to 101178736 — EU-ALMPO — HORIZON-CL2-2024-TRANSFORMATIONS-01 agreement from 2024-09-19

  • Webquest- dobra praktyka w e-Learningu

    W dobie informatyzacji i pokonywania barier wdrażania e-technologii na uczelniach wyższych uważa się, że jedną z najczęściej stosowanych aktywizujących technik nauczania wśród nauczycieli akademickich jest metoda projektu (ang. project-based learning). W niniejszym opracowaniu proponuje się zastosowanie w procesie edukacji na wyższej uczelni, metody webquest. Jest ona dużo rzadziej stosowana w praktyce. Opracowano ją w oparciu...

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  • Łukasz Sienkiewicz dr hab.

    Graduate of the Warsaw School of Economics, habilitated doctor in the field of social sciences in the discipline of management and quality science. University Associate professor at the Department of Entrepreneurship of the Faculty of Management and Economics of the Gdańsk University of Technology and coordinator of the Center for Economic, Social and Technological Transformation (C-TEST). Chairman of the Board of the Institute...

  • REVITALIZATION PROJECT OF SLUM TRANSFORMATION: A CASE STUDY HAY-AL TANAK,BEIRUT,LEBANON

    Slums are global phenomena that exist as a solution for those who couldn’t afford a house. This phenomenon is growing accompanying the rapid urbanization and the growth of the urban population, three-quarter of the world population anticipated to live in an urban environment by 2050 (Avis, 2016, p. 57). This paper reviews slum's evaluation of the revitalization project for one of the poorest slums in Beirut called Hay-Al Tanak....

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  • Comparative Evaluation of Selected Biological Methods for the Removal of Hydrophilic and Hydrophobic Odorous VOCs from Air

    Due to increasingly stringent legal regulations as well as increasing social awareness, the removal of odorous volatile organic compounds (VOCs) from air is gaining importance. This paper presents the strategy to compare selected biological methods intended for the removal of different air pollutants, especially of odorous character. Biofiltration, biotrickling filtration and bioscrubbing technologies are evaluated in terms of...

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  • In-Situ Processing of Biocomposites via Reactive Extrusion

    Publication

    - Year 2017

    Law regulations, economic and environmental factors are the main causes for the rapidly growing interests in biocomposites’ research, conducted currently in a number of academic and industrial scientific centers. However, weak polymer matrix/filler interactions, common in biocomposites, result in unsatisfactory mechanical properties, which limit their practical applications. From many attempts performed to solve this problem, in-situ...

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  • Muhammad Danish Ali MSc.

    People

    Muhammad Danish Ali is a dedicated researcher ( Google scholar h index 12) specializing in energy Storage Materials at Silesian University of Technology in Katowice, Poland. He is completing his PhD under the supervision of Prof. Anna Starczewska from Silesian University of Technology, Katowice, Poland. With a solid academic foundation in material science from the University of the Punjab, Lahore, he has focused his research on...

  • QUEUE I

    Events

    26-09-2022 10:12 - 30-09-2022 10:12

    Faculty of Applied Physics and Mathematics of Gdańsk Tech invites international students to the next summer school - Quantum and Molecules I (QUEUE I), organized within the ScienceApp project.

  • Digital Fingerprinting based on Quaternion Encryption for Image Transmission

    In this paper a new digital fingerprinting scheme for images is proposed. A proposed method is based on quaternion encryption with Cipher Block Chaining (CBC) mode of operation. Quaternions are hyper-complex numbers of rank 4 and thus often applied to mechanics in three-dimensional space. The encryption algorithm is designed for grey-tone images. For purpose of encryption, the algorithm uses the rotation of data vectors presented...

  • Professional prospects of polish logisticians in the light of the higher education: students’ opinion research.

    Publication

    - Research in Logistics & Production - Year 2016

    The paper focuses on a topic concerning the students’ professional future. Students more often and more are prepared to leave the labor market. In addition to the ongoing higher education they get their education at a variety of courses and trainings; they increase their skills in workshops or attend internships and practices to become attractive candidates for the job in the eyes of a potential employer. At this point a number...

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  • [BHP] Szkolenie w dziedzinie bezpieczeństwa i higieny pracy

    e-Learning Courses

    {mlang pl} Ten kurs jest prowadzony centralnie dla wszystkich studentów i doktorantów PG.  Szkolenie BHP jest obowiązkowe. Nawet jeśli na poprzednim etapie kształcenia (studia I lub II stopnia) obecny doktorant zaliczył to szkolenie, wymagane jest kolejne podejście. {mlang} {mlang en} This course is conducted on a central level for all the students and PhD students of GUT. Health and safety training is compulsory. Even...

  • Real-time simulator of agricultural biogas plant

    This article presents a real-time simulator of an agricultural biogas plant. The project contains biogas and biomass circuits simulation, as well as heating circuit simulation with a complete control system and visualization interface of the whole process. The software tool used to simulate the plant work is CFD (Computational Fluid Dynamics), which enables a user to create and test simulation objects based on fundamental physical...

  • The Review of the Selected Challenges for an Incorporation of Daylight Assessment Methods into Urban Planning in Poland

    The main objectives of this research it to find out if modern daylight assessment and design methods can be useful for urban residential planning in Poland. The study gives a chance to describe and appraise modern daylight design techniques. The other purpose is to illustrate how daylight knowledge could be used as an incentive to rethink the way urban environments are created. Although daylight design is acknowledged in literature...

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  • Trust triggers and barriers in intercultural teams

    Intercultural teams are more and more popular nowadays — they constitute a serious challenge in terms of effective cooperation and trust building, however. The article presents the potential problems that can affect intercultural cooperation and stresses the power of trust in cultural diversity conditions. The ten-factor model of intercultural team trust is presented. The main aim was to answer the questions: what are the differences...

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  • Reduced-Cost Constrained Modeling of Microwave and Antenna Components: Recent Advances

    Publication

    - Year 2020

    Electromagnetic (EM) simulation models are ubiquitous in the design of microwave and antenna components. EM analysis is reliable but CPU intensive. In particular, multiple simulations entailed by parametric optimization or uncertainty quantification may considerably slow down the design processes. In order to address this problem, it is possible to employ fast metamodels. Here, the popular solution approaches are approximation...

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