Wyniki wyszukiwania dla: text representation documents categorization information retrieval - MOST Wiedzy

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Wyniki wyszukiwania dla: text representation documents categorization information retrieval

Wyniki wyszukiwania dla: text representation documents categorization information retrieval

  • Relation-based Wikipedia Search System for Factoid Questions Answering

    In this paper we propose an alternative keyword search mechanism for Wikipedia, designed as a prototype solution towards factoid questions answering. The method considers relations between articles for finding the best matching article. Unlike the standard Wikipedia search engine and also Google engine, which search the articles content independently, requiring the entire query to be satisfied by a single article, the proposed...

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  • Multibeam data processing for 3D object shape reconstruction

    Publikacja

    The technology of hydroacoustic scanning offers an efficient and widely-used source of geospatial information regarding underwater environments, providing measurement data which usually have the structure of irregular groups of points known as point clouds. Since this data model has known disadvantages, a different form of representation based on representing surfaces with simple geometric structures, such as edges and facets,...

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  • Modelling Coarse Particulate Matter PM10 Concentration in the Tricity Area Using GIS

    Publikacja

    Environmental pollution is an issue of global concern, with Particulate Matter (PM) poisoning being a prime cause of lung cancer. This has led the European Commission to establish strict daily and annual PM concentration limits. The monitoring of air quality in major cities is the responsibility of European Member States. The Tricity, a 414.81 km 2 area in northern Poland, is monitored by a network of only 9 stations operated by...

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  • Decisional DNA Based Conceptual Framework for Smart Manufacturing

    Publikacja

    - Advances in Intelligent Systems and Computing - Rok 2016

    This paper presents the conceptual framework for systematic knowledge representation, storage and reuse of manufacturing information in a production scenario. This knowledge structure is designed for three levels in a manufacturing set up viz. first at the engineering objects level, second at process and finally at factory level. Virtual engineering object (VEO) deals with knowledge at the individual object/component/machine level...

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  • Organizational IT Competency, Knowledge Workers and Knowledge Sharing

    Publikacja

    - Rok 2019

    IT competency plays a vital role in knowledge management processes. Information technology affects an organization’s ability to store and recall knowledge that has been made explicit through codification, including different forms such as written documents, reports, presentations, patents, formulas, etc. This study aims to measure the influence of a company’s IT competency dimensions such as IT-knowledge,...

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  • Strategie miast powiatowych na obszarze peryferyjnym województwa pomorskiego.

    Artykuł nawiązuje do badań problemów rozwoju obszarów peryferyjnych (czyli poza obszarami metropolitalnymi) prowadzonych przez autora od 2009 r. Postawił on hipotezę, że rozwój miast powiatowych może zaktywizować gospodarczo ich otoczenie. W 2013 r. zbadał czynniki rozwojowe wskazane w planach strategicznych miast powiatowych na obszarze peryferyjnym województwa pomorskiego, obecnie - strategie tych miast w części dotyczącej rozwoju...

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  • Orken Mamyrbayev Professor

    Osoby

    1.  Education: Higher. In 2001, graduated from the Abay Almaty State University (now Abay Kazakh National Pedagogical University), in the specialty: Computer science and computerization manager. 2.  Academic degree: Ph.D. in the specialty "6D070300-Information systems". The dissertation was defended in 2014 on the topic: "Kazakh soileulerin tanudyn kupmodaldy zhuyesin kuru". Under my supervision, 16 masters, 1 dissertation...

  • The Hough transform in the classification process of inland ships

    Publikacja

    This article presents an analysis of the possibilities of using image processing methods for feature extraction that allows kNN classification based on a ship’s image delivered from an on-water video surveillance system. The subject of the analysis is the Hough transform which enables the detection of straight lines in an image. The recognized straight lines and the information about them serve as features in the classification...

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  • Low-cost multi-objective design of compact microwave structures using domain patching

    Publikacja

    - Rok 2016

    A good compromise between size and electrical performance is an important design consideration for compact microwave structures. Comprehensive information about size/performance trade-offs can be obtained through multi-objective optimization. Due to considerable electromagnetic (EM) cross-couplings in highly compressed layouts, the design process has to be conducted at the level of high-fidelity EM analysis which is computationally...

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  • A Study of Cross-Linguistic Speech Emotion Recognition Based on 2D Feature Spaces

    Publikacja
    • G. Tamulevicius
    • G. Korvel
    • A. B. Yayak
    • P. Treigys
    • J. Bernataviciene
    • B. Kostek

    - Electronics - Rok 2020

    In this research, a study of cross-linguistic speech emotion recognition is performed. For this purpose, emotional data of different languages (English, Lithuanian, German, Spanish, Serbian, and Polish) are collected, resulting in a cross-linguistic speech emotion dataset with the size of more than 10.000 emotional utterances. Despite the bi-modal character of the databases gathered, our focus is on the acoustic representation...

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  • Elgold partial: News

    Dane Badawcze

    The dataset contains 37 English texts scrapped from news websites. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity recognition and linking...

  • Broken rotor bar impact on sensorless control of induction machine

    The aim of the research is analysis of the sensorless control system of induction machine with broken rotor for diagnostic purposes. Increasing popularity of sensorless controlled variable speed drives requires research in area of reliability, range of stable operation, fault symptoms and application of diagnosis methods. T transformation (Cunha et al.,2003) used for conversion of instantaneous rotor currents electrical circuit...

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  • Towards an experience based collective computational intelligence for manufacturing

    Knowledge based support can play a vital role not only in the new fast emerging information and communication technology based industry, but also in traditional manufacturing. In this regard, several domain specific research endeavors have taken place in the past with limited success. Thus, there is a need to develop a flexible domain independent mechanism to capture, store, reuse, and share manufacturing knowledge. Consequently,...

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  • Lossless Compression of Binary Trees with Correlated Vertex Names

    Publikacja

    - Rok 2016

    Compression schemes for advanced data structures have become the challenge of today. Information theory has traditionally dealt with conventional data such as text, image, or video. In contrast, most data available today is multitype and context-dependent. To meet this challenge, we have recently initiated a systematic study of advanced data structures such as unlabeled graphs [1]. In this paper, we continue this program by considering...

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  • Playback detection using machine learning with spectrogram features approach

    Publikacja

    This paper presents 2D image processing approach to playback detection in automatic speaker verification (ASV) systems using spectrograms as speech signal representation. Three feature extraction and classification methods: histograms of oriented gradients (HOG) with support vector machines (SVM), HAAR wavelets with AdaBoost classifier and deep convolutional neural networks (CNN) were compared on different data partitions in respect...

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  • Underwater Acoustic Imaging of the Sea

    Acoustic waves are a carrier of information mainly in environments where the use of other types of waves, for example electromagnetic waves, is limited. The term acoustical imaging is widely used in the ultrasonic engineering to imaging areas in which the acoustic waves propagate. In particular, ultrasound is widely used in the visualization of human organs - ultrasonography (Nowicki, 2010). Expanding the concept, acoustical imaging...

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  • Active Annotation in Evaluating the Credibility of Web-Based Medical Information: Guidelines for Creating Training Data Sets for Machine Learning

    Publikacja
    • A. Nabożny
    • B. Balcerzak
    • A. Wierzbicki
    • M. Morzy
    • M. Chlabicz

    - JMIR Medical Informatics - Rok 2021

    Methods Results Discussion References Abbreviations Copyright Abstract Background: The spread of false medical information on the web is rapidly accelerating. Establishing the credibility of web-based medical information has become a pressing necessity. Machine learning offers a solution that, when properly deployed, can be an effective tool in fighting medical misinformation on the web. Objective: The aim of this study is to...

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  • Machining process sequencing and machine assignment in generative feature-based CAPP for mill-turn parts

    Process selection and sequencing, as one of the most complex issues when evaluated from a mathematical point of view and crucial in CAPP, still attract research attention. For the current trend of intelligent manufacturing, machining features (MFs) are the information carriers for workpiece geometry and topology representation. They are basically derived from CAD models and are used by downstream engineering applications. A feature-based...

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  • ANALYZING TITLES OF ECONOMY NEWS TO UNDERSTAND IMPACT OF COVID-19 ON ECONOMICAL SITUATION

    Publikacja

    - Rok 2020

    Covid-19 affected the whole world in a short time, causing serious panic and uncertainty in society. Because it was an unprecedented disease, the medical community has worked hard to find out how to deal with it, and it continues to do so. The rapid spread of the disease, the shortage of hospital capacity and the increase in deaths drove the whole world to a closure, so to speak. In this time period, life in the world came to a...

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  • Elgold partial: Automotive blogs

    Dane Badawcze

    The dataset contains 34 English texts scrapped from automotive blogs. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity recognition and...

  • Elgold partial: Movie reviews

    Dane Badawcze

    The dataset contains 37 English texts with movie reviews. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity recognition and linking algorithms.

  • Elgold partial: Job offers

    Dane Badawcze

    The dataset contains 34 English texts scrapped from the web portals offering job offers. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity...

  • Elgold partial: Scientific papers' abstracts

    Dane Badawcze

    The dataset contains 87 Scientific papers' abstracts in English randomly chosen from the folowing scientific disciplines: Biomedicine, Life Sciences, Mathematics, Medicine, Science, Humanities, Social Science.

  • Elgold partial: Amazon product reviews

    Dane Badawcze

    The dataset contains 34 Amazon product reviews in English. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity recognition and linking algorithms.

  • Elgold partial: History blogs

    Dane Badawcze

    The dataset contains 13 texts from English history blogs. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity recognition and linking algorithms.

  • Hazard Control in Industrial Environments: A Knowledge-Vision-Based Approach

    Publikacja

    This paper proposes the integration of image processing techniques (such as image segmentation, feature extraction and selection) and a knowledge representation approach in a framework for the development of an automatic system able to identify, in real time, unsafe activities in industrial environments. In this framework, the visual information (feature extraction) acquired from video-camera images and other context based gathered...

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  • Automatic Emotion Recognition in Children with Autism: A Systematic Literature Review

    Publikacja

    - SENSORS - Rok 2022

    The automatic emotion recognition domain brings new methods and technologies that might be used to enhance therapy of children with autism. The paper aims at the exploration of methods and tools used to recognize emotions in children. It presents a literature review study that was performed using a systematic approach and PRISMA methodology for reporting quantitative and qualitative results. Diverse observation channels and modalities...

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  • The Bridge to Knowledge – Open Access to Scientific Research Results on Multidisciplinary Open System Transferring Knowledge Platform

    Publikacja

    The European policy of Open Access to scientific research is now one of the key issues discussed in public debates on the future development of scientific communication. The implementation of Open Access tools has significant impact on scientific and economic growth. On the one hand, Open Access accelerates disseminating new research findings and facilitates recognition of authors on a more global scale. On the other hand, Open...

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  • Smart Specialization through Cluster Policy. Evidence from Poland and Germany

    Publikacja
    • A. Lis
    • A. M. Kowalski
    • M. Mackiewicz

    - Rok 2021

    The purpose of the chapter is to investigate the interlinks and commonalities between clusters and regional smart specialization strategies (through the prism of experiences of Polish and German regions). The main research strategy was international comparative analysis, and the basic technique for collecting data was document analysis. The research used the four-level procedure of selecting documents, which allowed identification...

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  • Biometryczna kontrola dostępu

    Opisano szczegółowo algorytm detekcji oraz identyfikacji człowieka na podstawie punktów nodalnych twarzy. Zdefiniowano pojęcia: biometria, proces pomiaru biometrycznego, metody biometrycznej identyfikacji oraz kontrola dostępu. Przedstawiono opis opracowanego systemu biometrycznej identyfikacji wykorzystującego sztuczne sieci neuronowe. Podano wyniki badań oraz przeprowadzono ich wnikliwą dyskusję.Biometrics is the study of automated...

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  • Text Mining Algorithms for Extracting Brand Knowledge; The fashion Industry Case

    Publikacja

    - Rok 2018

    Brand knowledge is determined by customer knowledge. The opportunity to develop brands based on customer knowledge management has never been greater. Social media as a set of leading communication platforms enable peer to peer interplays between customers and brands. A large stream of such interactions is a great source of information which, when thoroughly analyzed, can become a source of innovation and lead to competitive advantage....

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  • Vehicle detector training with minimal supervision

    Publikacja

    Recently many efficient object detectors based on convolutional neural networks (CNN) have been developed and they achieved impressive performance on many computer vision tasks. However, in order to achieve practical results, CNNs require really large annotated datasets for training. While many such databases are available, many of them can only be used for research purposes. Also some problems exist where such datasets are not...

  • Intermolecular Interactions as a Measure of Dapsone Solubility in Neat Solvents and Binary Solvent Mixtures

    Publikacja

    - Materials - Rok 2023

    Dapsone is an effective antibacterial drug used to treat a variety of conditions. However, the aqueous solubility of this drug is limited, as is its permeability. This study expands the available solubility data pool for dapsone by measuring its solubility in several pure organic solvents: N-methyl-2-pyrrolidone (CAS: 872-50-4), dimethyl sulfoxide (CAS: 67-68-5), 4-formylmorpholine (CAS: 4394-85-8), tetraethylene pentamine (CAS:...

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  • Bezpieczeństwo funkcjonalne i ochrona informacji w obiektach i systemach infrastruktury krytycznej - analiza i ocena

    Publikacja

    W niniejszym rozdziale monografii przedstawiono bardzo aktualną problematykę związaną z analizą bezpieczeństwa funkcjonalnego rozproszonych systemów sterowania i automatyki zabezpieczeniowej w obiektach infrastruktury krytycznej, wykorzystujących przemysłową sieć komputerową, z uwzględnieniem zagadnień ochrony informacji. W obiektach tego typu systemy sterowania i automatyki zabezpieczeniowej są projektowane jako systemy rozproszone,...

  • Application of artificial intelligence into/for control of flexible manufacturing cell

    Publikacja

    The application of artificial intelligence in technological processes control is usually limited. One problem is how to respond to changes in the environment of manufacturing system. A way to overcome the above shortcoming is to use fuzzy logic for representation of the inexact information. In this paper fundamentals of artificial intelligence and fuzzy logic are introduced from a theoretical point of view. Still more the fuzzy...

  • Promocja zasobów Pomorskiej Biblioteki Cyfrowej na przykładzie XVIII-wiecznego rękopisu

    Celem artykułu jest przedstawienie sposobu udostępniania i promocji zbiorów rękopiśmiennych na przykładzie XVIII-wiecznego rękopisu Christiana Gabriela Fishera dostępnego w Pomorskiej Bibliotece Cyfrowej (dalej: PBC). Rękopis ten stał się inspiracją do podjęcia współpracy Biblioteki Politechniki Gdańskiej oraz Instytutu Kultury Miejskiej w Gdańsku. Dzięki wspólnej inicjatywie rozpoczęto prace nad transkrypcją niemieckiego tekstu...

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  • Geographical Information Systems GIS (project) [2022/23]

    Kursy Online
    • A. Augusiak

    Subject: Geographical Information Systems GIS, Inter-faculty (field of study: Energy Technologies), undergraduate studies, full-time studies (semester 6) Teacher: dr inż. Andrzej Augusiak, doc. PG Abstract: The course aims to teach the practical implementation of a simple project in the field of GIS geographical information systems. As part of the project, the course participant will learn how to use the basic methods and tools...

  • 3D Object Shape Reconstruction from Underwater Multibeam Data and Over Ground Lidar Scanning

    The technologies of sonar and laser scanning are an efficient and widely used source of spatial information with regards to underwater and over ground environment respectively. The measurement data are usually available in the form of groups of separate points located irregularly in three-dimensional space, known as point clouds. This data model has known disadvantages, therefore in many applications a different form of representation,...

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  • [soft skills] Scientific databases and information skills

    Kursy Online
    • R. Jankowski
    • A. Klej
    • M. Szuflita-Żurawska

    {mlang pl} Dyscyplina: wszystkie dyscypliny Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  Magdalena Szuflita-Żurawska, Biblioteka PG Liczba godzin: 5 Forma zajęć: wykład {mlang} {mlang en} Discipline: all disciplines Obligatory course for 1st-year PhD students Academic teacher: Magdalena Szuflita-Żurawska, GUT Library Total hours of training: 5 teaching hours Course type: lecture {mlang} Soft skills Area...

  • Preliminary safety assessment of Polish interchanges

    Publikacja

    - Archives of Transport - Rok 2021

    Interchanges are a key and the most complex element of a road infrastructure. The safety and functionality of interchanges determine the traffic conditions and safety of the entire road network. This applies particularly to motorways and express-ways, for which they are the only way to access and exchange traffic. A big problem in Poland is the lack of comprehensive tools for designers at individual stages of the design process....

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  • Social learning and knowledge flows in cluster initiatives, In: Sanz S.C., Blanco F.P., Urzelai B. (Eds). Human and Relational Resources (pp. 44-45). the 4th International Conference on Clusters and Industrial Districts CLUSTERING, University of Valencia, Spain, May 23–24 (ISBN: 978-84-09-11926-4).

    Publikacja

    - Rok 2019

    Purpose – The purpose of the paper is to explore how learning manifests and knowledge flows in cluster initiatives (CIs) due to interactions undertaken by their members. The paper addresses the research question of how social learning occurs and knowledge flows in CIs. Design/methodology/approach – The qualitative study of four cluster initiatives helped to identify various symptoms of social learning and knowledge flows in...

  • Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents

    Publikacja
    • S. Donghui
    • L. Zhigang
    • J. Zurada
    • A. Manikas
    • J. Guan
    • P. Weichbroth

    - KNOWLEDGE AND INFORMATION SYSTEMS - Rok 2024

    The construction industry suffers from workplace accidents, including injuries and fatalities, which represent a significant economic and social burden for employers, workers, and society as a whole.The existing research on construction accidents heavily relies on expert evaluations,which often suffer from issues such as low efficiency, insufficient intelligence, and subjectivity.However, expert opinions provided in construction...

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  • Point cloud unification with optimization algorithm

    Terrestrial laser scanning is a technology that enables to obtain three-dimensional data – an accurate representation of reality. During scanning not only desired objects are measured, but also a lot of additional elements. Therefore, unnecessary data is being removed, what has an impact on efficiency of point cloud processing. It can happen while single point clouds are displayed – user decides what he wants...

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  • THE APPLICATION EFFECTS OF CONTINUOUS SATELLITE MEASUREMENTS OF RAILWAY LINES

    Publikacja

    The paper presents results of satel lite surveying of the railway's rout es, which have been conducted just after starting in Poland (in 2008) the Active Geodesy Network ASG-EU POS. Afterwards it was possible to effectively utilize the GNSS survey ing results for the inventory of the (exploring) railways in service. Already at the beginning of 2009, the research team from Gdansk University of Technology and Naval Academy in Gdynia,...

  • On Fast Multi-objective Optimization of Antenna Structures Using Pareto Front Triangulation and Inverse Surrogates

    Publikacja

    - Rok 2021

    Design of contemporary antenna systems is a challenging endeavor, where conceptual developments and initial parametric studies, interleaved with topology evolution, are followed by a meticulous adjustment of the structure dimensions. The latter is necessary to boost the antenna performance as much as possible, and often requires handling several and often conflicting objectives, pertinent to both electrical and field properties...

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  • Identification of category associations using a multilabel classifier

    Description of the data using categories allows one to describe it on a higher abstraction level. In this way, we can operate on aggregated groups of the information, allowing one to see relationships that do not appear explicit when we analyze the individual objects separately. In this paper we present automatic identification of the associations between categories used for organization of the textual data. As experimental data...

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  • CAD Integrated Architectural Design, MSc Arch (2023-24)

    Kursy Online
    • D. Cyparski

    Detailed understanding of optimizing the design process using parametric BIM (Building Information Modeling) in the Autodesk Revit Architecture program. Practical design exercises included familiarize students with methods of integrating parametric design and exchanging data with other CAD/BIM programs, modifying parametric objects and generating automatic 2D/3D architectural documentation. The lesson plan introduces students to...

  • Nowe rozwiązania metodyczne i techniczne w zakresie techniki mikroekstrakcji do fazy stracjonarnej

    Sample preparation has been recognized as a critical step of the analytical process, being even considered as the bottleneck of the overall process. Enrichment of target compounds, transfer of the analytes into a solvent compatible with the analytical instrumentation, minimization of potential interferences, and efficient sample clean-up, are among the main aims of sample preparation techniques. In this regard, liquid-liquid extraction...

  • Social learning in cluster initiatives

    Publikacja

    - Competitiveness Review - Rok 2022

    Purpose – The purpose of the paper is to portray social learning in cluster initiatives (CIs), namely: 1) to explore, with the lens of the communities of practice (CoPs) theory, in what ways social learning occurs in CIs; 2) to discover how various CoPs emerge and evolve in CIs to facilitate a collective journey in their learning process. Subsequently, the authors address the research questions: In what ways does social learning...

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  • The added value of using the HEPA PAT for physical activity policy monitoring: a four-country comparison

    Publikacja
    • P. Gelius
    • S. Messing
    • S. Forberger
    • J. Lakerveld
    • F. Mansergh
    • W. Wendel-Vos
    • J. Żukowska
    • C. Woods

    - Health Research Policy and Systems - Rok 2021

    Background Public policy is increasingly recognized as an important component of physical activity promotion. This paper reports on the current status of physical activity policy development and implementation in four European countries based on the Health-Enhancing Physical Activity Policy Audit Tool (HEPA PAT) developed by WHO. It compares the findings to previous studies and discusses the general utility of this tool and its...

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