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Search results for: MEDICAL INFORMATION SYSTEMS
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Do online reviews reveal mobile application usability and user experience? The case of WhatsApp
PublicationThe variety of hardware devices and the diversity of their users imposes new requirements and expectations on designers and developers of mobile applications (apps). While the Internet has enabled new forms of communication platform, online stores provide the ability to review apps. These informal online app reviews have become a viral form of electronic wordof-mouth (eWOM), covering a plethora of issues. In our study, we set ourselves...
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On the Agile Mindset of an Effective Team – An Industrial Opinion Survey
PublicationIn this paper we present the results of an opinion survey among 52 agile practitioners who evaluated the importance of 26 selected elements of the agile mindset to the effectiveness of an agile team. In total, we have identified 70 unique agile mindset elements based on 11 literature sources and 5 interviews with industry experts. 7 elements belonged to the “support for business goals” category, 20 to the “relationships within...
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Playing the Sprint Retrospective
PublicationIn agile software development, where great emphasis is put on effective informal communication, success depends heavily on human and social factors. However, Scrum does not specify any techniques that aid the human side of software development. In this paper we investigate the use of 6 collaborative games for the Sprint Retrospective. Each game was implemented twice in a Scrum team in Intel Technology Poland. The received feedback...
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Preliminary Citation and Topic Analysis of International Conference on Agile Software Development Papers (2002-2018)
PublicationThis study utilizes citation analysis and automated topic analysis of papers published in International Conference on Agile Software Development (XP) from 2002 to 2018. We collected data from Scopus database, finding 789 XP papers. We performed topic and trend analysis with R/RStudio utilizing the text mining approach, and used MS Excel for the quantitative analysis of the data. The results show that the first five years of XP...
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Utilizing online collaborative games to facilitate Agile Software Development
PublicationEffective collaboration and interaction among the development team and between the team and the customer as well as proactive attitude in initiating and implementing improvements play vital roles in the success of agile projects. The challenge is how to address these social aspects since neither the Agile Manifesto nor the Scrum Guide specify techniques that aid the human side of software development. To fill this gap, we developed...
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Calculation of Induced Sheath Voltages in Power Cables – Single Circuit System versus Double Circuit System
PublicationThis paper presents comparison of values of induced sheath voltages in power cable metallic sheaths when one or two cables per phase are used. Calculation of voltages is performed for various phase sequences of the power cables. Three types of the sheaths bonding and earthing are considered. Shock hazard and voltage stress of non-metallic outer sheath of cables are evaluated. The proposed, optimal configuration of the power cable...
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An unorthodox view on the problem of tracking facial expressions
PublicationRecent developments in imaging cameras has opened a new way of analyzing facial expression. We would like to take advantage from this new technology and present a method of imaging and processing images of human face as a response to the particular stimuli. The response in this case is represented by the facial expressions and the stimuli are still images representing six basic emotions according to Eckmann. Working hypothesis...
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Task Assignments in Logistics by Adaptive Multi-Criterion Evolutionary Algorithm with Elitist Selection
PublicationAn evolutionary algorithm with elitist selection has been developed for finding Pareto-optimal task assignments in logistics. A multi-criterion optimization problem has been formulated for finding a set of Pareto- optimal solutions. Three criteria have been applied for evaluation of task assignment: the workload of a bottleneck machine, the cost of machines, and the numerical performance of system. The machine constraints have...
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Information and Communication Technology Management for Global Competitiveness and Economic Growth in Emerging Economies
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The influence of IT-competency dimensions on job satisfaction, knowledge sharing and performance across industries
PublicationPurpose – Technology makes knowledge management easier. Knowledge sharing is essential for organizational development. Job satisfaction fosters knowledge sharing. Hence, this study aims to develop an understanding of the mutual relationship between knowledge sharing and job satisfaction when both are predicted by information technology (IT)-competency dimensions such as IT-operations, IT-knowledge and IT-infrastructure in the context...
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Why do Open Government Data initiatives fail in developing countries? A root cause analysis of the most prevalent barriers and problems
PublicationOpen government data (OGD) include the provision of government data, which have so far been reserved for the provision of public utilities and services, wherein different stakeholders may create value out of the same source. Recently, OGD initiatives around the world have dampened or were found to be inadequate for one or other reasons. The present study seeks to underline the root causes behind these inadequate or stalled initiatives...
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Identification of Public Service Logic (PSL) and Public Service Motivation (PSM) elements in Open Government Data (OGD) initiatives
PublicationWhile previous research on Open Government Data (OGD) has primarily focused on reuse and adoption, this study aims to explore the implications of the Public Service Logic (PSL) and Public Service Motivation (PSM) dimensions in the context of OGD initiatives. This study is contextualized in Tanzania wherein the OGD initiatives are at an evolving stage. For the present study, the perspectives of the 15 public officials involved in...
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Value co‐creation (VCC) and value co‐destruction (VCD) via open government data (OGD): Empirical case of Tanzania
PublicationHaving emphasized upon the potential benefits of Open Government Data (OGD) initiatives via value derivation and innovation pursuits of the stakeholders, it falls in place to complement this line of OGD research in the specific case of Tanzania, a developing country, to support the inferences. Specifically, it is important to understand the manner in which OGD VCC-one of the hinges of OGD initiatives- and OGD VCD-a possible fall...
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Improving signal quality of a speech codec using hybrid perceptual-parametric algorithm
PublicationW artykule zaprezentowano hybrydową architekturę parametryczno-perceptualną kodeka mowy. Jego podstawę stanowi kodek CELP, który wspomagany jest kodekiem perceptualnym. Celem zastosowania proponowanej metody jest uzyskanie poprawy jakości kodowania sygnału mowy. Badaniom poddano dwie architektury, z których w jednej dźwięczne części sygnału rezydualnego kodeka CELP kodowane są perceptualnie. Drugi z proponowanych kodeków dokonuje...
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Hand gesture recognition supported by fuzzy rules and Kalman filters
PublicationThe paper presents a system based on camera and multimediaprojector enabling a user to control computer applications by dynamic hand gestures. Gesture recognition methodology based on representing hand movement trajectory by motion vectors analysed using fuzzy rule-based inference is first given. For effective hand position tracking Kalman filters are employed. The system engineered is developed using J2SE and C++/OpenCV technology....
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Assessing the failure of Open Government Data initiatives in Brazil
PublicationWhile assessing the potential of a particular digital innovation initiative, especially when it has implications for a range of societal stakeholders, it becomes pertinent to understand the possible bottlenecks in its acceptability as well. In this regard, the present study seeks to understand how the Open Government Data (OGD) initiatives in Brazil are being confronted with bottlenecks in terms of their execution and acceptability....
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An A-Team approach to learning classifiers from distributed data sources
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Benchmarking Deep Neural Network Training Using Multi- and Many-Core Processors
PublicationIn the paper we provide thorough benchmarking of deep neural network (DNN) training on modern multi- and many-core Intel processors in order to assess performance differences for various deep learning as well as parallel computing parameters. We present performance of DNN training for Alexnet, Googlenet, Googlenet_v2 as well as Resnet_50 for various engines used by the deep learning framework, for various batch sizes. Furthermore,...
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Collaborative Data Acquisition and Learning Support
PublicationWith the constant development of neural networks, traditional algorithms relying on data structures lose their significance as more and more solutions are using AI rather than traditional algorithms. This in turn requires a lot of correctly annotated and informative data samples. In this paper, we propose a crowdsourcing based approach for data acquisition and tagging with support for Active Learning where the system acts as an...
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Non-linear static stability of bi-layer carbon nanosheets resting on an elastic matrix under various types of in-plane shearing loads in thermo-elasticity using nonlocal continuum
PublicationIn this research, the shear and thermal buckling of bi-layer rectangular orthotropic carbon nanosheets embedded on an elastic matrix using the nonlocal elasticity theory and non-linear strains of Von-Karman was studied. The bi-layer carbon sheets were modeled as a double-layered plate, and van der Waals forces between layers were considered. The governing equations and boundary conditions were obtained using the first order shear...
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Distributed representation of information on cyclic events
PublicationA representation of information on cyclic events has been proposed which is advantageous for computing environments where a distributed set of Receivers reacts to cyclic events generated by distributed sources. In such scenario no immanent central information repository exist on event timing or volume. Receivers are able to learn the event cycles without communicating with each other, merely on the basis of the fact that an event...
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The Internet as a knowledge source in Knowledge Views
PublicationArtykuł ten przedstawia koncepcję widoków na bazę wiedzy, jak może ona zostać wykorzystana w celu zbierania informacji z różnych źródeł, wnioskowania nad tymi informacjami i udostępnienia ich w postaci wymaganej przez aplikację. Korzystając z widoków na bazę wiedzy, aplikacja może "widzieć" Internet jako pojedyncze źródło wiedzy.
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Algebra konglomeratów jako narzędzie opisu problemów przetwarzania ontologii
PublicationW niniejszym artykule zaprezentowano nowe narzędzie przetwarzania modularnych baz wiedzy - algebrę konglomeratów. Przedstawioną propozycję wyróżnia fakt, że traktujemy moduły bazy wiedzy semantycznie. W artykule zaprezentowano doświadczenia związane z wykorzystaniem algebry (m.in. do dekompozycji bazy wiedzy oraz jako wsparcie procesu wnioskowania) oraz naszkicowano kierunki jej przyszłego rozwoju.
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The reliability of tree and star networks
PublicationThis paper investigated the reliability of tree and star networks. Following measures of network reliability are assumed: the expected number of nodes, that can communicate with the central node; the expected number of node pairs, that are connected by a path through the central node; the expected number of node pairs communicating.
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Ontologia PIPSDrugs: praktyczne zastosowanie metody SIM
PublicationMetoda SIM zmniejsza złożoność ontologii oraz upraszcza proces modelowania, jednak może też wywołać niekorzystne zjawiska, np. konieczność uproszczenia modelu lub utrudnienie wnioskowania. Na pytanie, jak duży jest zasięg szkodliwych zjawisk, może odpowiedzieć tylko praktyczne zastosowanie. Ontologia POPSDrugs jest pierwszą praktyczną realizacją opisu wiedzy na podstawie reguły metody SIM.
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Ontologie w Sieci Semantycznej
PublicationWraz z nastaniem ery Internetu i jego gwałtownym rozwojem, zasadniczym problemem dla współczesnej informatyki stała się automatyzacja pozyskiwania olbrzymich zasobów wiedzy ludzkiej w nim zgromadzonych. Wiedza ta ma bardzo zróżnicowany charakter z uwagi na wielość formatów zapisu danych, a przede wszystkim z uwagi na różny stopień jej ustrukturalizowania. Jedną z najbardziej popularnych idei dążących do systematycznego podejścia...
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Application of Knowledge Views = Zastosowanie widoków na bazę wiedzy
PublicationW artykule przedstawiono koncepcję widoków na bazę wiedzy i jej zastosowanie w inżynierii systemów. Praca ma na celu przybliżenie inżynierii wiedzy i technologii Semantic Web inżynierowi oprogramowania oraz programiście. Cel ten osiągany jest poprzez upodobnienie baz wiedzy do relacyjnych lub obiektowych baz danych oraz poprzez stosowanie wzorców znanych w inżynierii oprogramowania.
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Ideologiczny i praktyczny model metaontologii
PublicationRozwój inicjatywy Semantic Web spowodował rozwój różnych języków definiowania wiedzy i manipulowania nią. W ramach tych języków istotnym elementem jest zaprojektowanie rozkazów terminologicznych. W artykule przedstawiono sposób realizacji zapytań terminologicznych w języku KQL (Knowledge Query Language) - języku dostępu do systemu zarządzania wiedzą RKaSeA.
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Język KQL jako realizacja idei języka SQL dla bazy wiedzy
PublicationW ramach inicjatywy semantic web rozwijane są systemy wnioskowania z wiedzy. Ciągle otwartym problemem są również języki dostępu do takich systemów. W artykule zaproponowano nowy język dostępu do zmodularyzowanych baz wiedzy, o cechach umożliwiających jego kompleksowe wykorzystanie w systemach zarządzania wiedzą, w sposób analogiczny do wykorzystania języka sql w systemach relacyjnych baz danych.
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Wewnętrzna reprezentacja konglomeratowej bazy wiedzy w systemie RKaSeA
PublicationNiniejszy artykuł prezentuje koncepcję wewnętrznej reprezentacji wiedzy ontologicznej zastosowaną w nowo opracowanym systemie zarządzania wiedzą ontologiczno-regułową RKaSeA. Reprezentacja ta stanowi praktyczne wdrożenie opublikowanej wcześniej koncepcji modularyzacji bazy wiedzy polegającej na jej podziale na semantyczne jednostki - konglomeraty. Opracowana metoda reprezentacji stanowi zarazem rozwinięcie wprowadzonej wcześniej...
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Wnioskowanie z różnych źródeł osobników w systemie RKaSeA
PublicationNiniejszy artykuł prezentuje koncepcję zarządzania wiedzą asercjonalną zastosowaną w systemie zarządzania wiedzą RKaSeA. Koncepcja ta traktuje opis świata jako zbiór osobników. Dzięki temu udało się objąć nią również mechanizmy obsługi reguł oraz mechanizm pozyskiwania wiedzy z zewnętrznych źródeł danych. Mechanizmy te sa traktowane jako dodatkowe typy źródeł osobników.
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Wykorzystanie sprzętu komputerowego klasy SOHO do modelowania złożonych rozwiązań sieciowych
PublicationW artykule dokonano oceny możliwosci modelowania złożonych rozwiązań sieciowych, za pomocą modyfikacji otwartoźródłowego sterownika tanich kart ethernetowych. Zaproponowano wykorzystanie koncepcji interfejsów logicznych, znakowania ramek z uzyciem pola Tag standardu IEEE 802.1Q - VLAN oraz wielu pierscieniami DMA do priorytetyzowania klas ruchu. Techniki te, w połaczeniu z implemtacja w sterowniku odpowiednich algorytmów, umożliwiają...
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Focus on Misinformation: Improving Medical Experts’ Efficiency of Misinformation Detection
PublicationFighting medical disinformation in the era of the global pandemic is an increasingly important problem. As of today, automatic systems for assessing the credibility of medical information do not offer sufficient precision to be used without human supervision, and the involvement of medical expert annotators is required. Thus, our work aims to optimize the utilization of medical experts’ time. We use the dataset of sentences taken...
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THE ROLE OF INFERENCE IN MOBILE MEDICAL APPLICATION DESIGN
PublicationIn the early 21st century, artificial intelligence began to be used to process medical information. However, before this happened, predictive models used in healthcare could only consider a limited number of variables, and only in properly structured and organised medical data. Today, advanced tools based on machine learning techniques - which, using artificial neural networks, can explore extremely complex relationships - and...
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Wireless paging system
PublicationAssistance to patients at hospitals and nursing homesoften encounters problems related to obtaining information onthe current needs of the patient. Traditionally, patient informshospital stuff by wire and wireless paging systems. WirelessPaging Systems allow one to overcome the limitations of theirwire counterparts, which include high installation costs (cabling)and lack of patient mobility. The main difference betweenpresented...
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A new approach to modeling of selected human respiratory system diseases, directed to computer simulations
PublicationThis paper presents a new versatile approach to model severe human respiratory diseases via computer simulation. The proposed approach enables one to predict the time histories of various diseases via information accessible in medical publications. This knowledge is useful to bioengineers involved in the design and construction of medical devices that are employed for monitoring of respiratory condition. The approach provides the...
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Changes in psychological distress among Polish medical university teachers during the COVID-19 pandemic
PublicationOur study aims to update knowledge about psychological distress and its changes in the Polish group of academic medical teachers after two years of a global pandemic. During the coronavirus disease, teachers were challenged to rapidly transition into remote teaching and adapt new assessment and evaluation systems for students, which might have been...
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Asymmetrical-Slot Antenna with Enhanced Gain for Dual-Band Applications
PublicationDual-band operation is an important feature of antennas to be applied in modern communication systems. Although high gain of radiators is rarely of concern in urban areas with densely located broadcasting stations, it becomes crucial for systems operating in more remote environments. In this work, a dual-band antenna with enhanced bandwidth is proposed. The structure consists of a driven element in the form of an asymmetrical radiator/slot...
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Medical Image Dataset Annotation Service (MIDAS)
PublicationMIDAS (Medical Image Dataset Annotation Service) is a custom-tailored tool for creating and managing datasets either for deep learning, as well as machine learning or any form of statistical research. The aim of the project is to provide one-fit-all platform for creating medical image datasets that could easily blend in hospital's workflow. In our work, we focus on the importance of medical data anonimization, discussing the...
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Advanced polarization sensitive analysis in optical coherence tomography
PublicationThe optical coherence tomography (OCT) is an optical imaging method, which is widely applied in variety applications. This technology is used to cross-sectional or surface imaging with high resolution in non-contact and non-destructive way. OCT is very useful in medical applications like ophthalmology, dermatology or dentistry, as well as beyond biomedical fields like stress mapping in polymers or protective coatings defects detection....
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Urine headspace analysis in medical diagnostics
PublicationThe analysis of the volatile organic compounds in the bodily fluids such as urine may provide useful information on the patients’ general health. The potential application of urine headspace analysis could facilitate the diagnostics of various diseases such as metabolic disorders, urinary tract diseases and gastrointestinal conditions. Described in this paper are the currently available techniques of urine sample analysis as well...
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Polyurethanes as a Potential Medical-Grade Filament for Use in Fused Deposition Modeling 3D Printers – a Brief Review
PublicationThe possibility of using 3D printing technology (3DP) in medical field is a kind of revolution in health care. This has contributed to a rapid growth in demand for 3D printers, whose systems and materials are adapted to strict medical requirements. In this paper, we report a brief review of polyurethanes as a potential medical-grade filament for use in Fused Deposition Modeling (FDM) 3D printer technology. The advantages of polyurethanes...
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Active Dynamic Thermography in Medical Diagnostics
PublicationThis is an overview of active thermal imaging methods in medical diagnostics using external thermal stimulation. In this chapter, several clinical cases diagnosed using the active dynamic thermography method, ADT, are presented. Features of this technology are discussed and main advantages underlined. Applications in skin burn diagnostics and quantitative evaluation leading to modern classification of burned patients for further...
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Development of the System Assurance Reference Model for Generating Modular Assurance Cases
PublicationAssurance cases are structured arguments used to demonstrate specific system properties such as safety or security. They are used in many industrial sectors including automotive, aviation and medical devices. Larger assurance cases are usually divided into modules to manage the complexity and distribute the work. Each of the modules is developed to address specific goals allocated to the specific objects i.e. components of the...
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Dependable Integration of Medical Image Recognition Components
PublicationComputer driven medical image recognition may support medical doctors in the diagnosis process, but requires high dependability considering potential consequences of incorrect results. The paper presentsa system that improves dependability of medical image recognition by integration of results from redundant components. The components implement alternative recognition algorithms of diseases in thefield of gastrointestinal endoscopy....
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A survey of automatic speech recognition deep models performance for Polish medical terms
PublicationAmong the numerous applications of speech-to-text technology is the support of documentation created by medical personnel. There are many available speech recognition systems for doctors. Their effectiveness in languages such as Polish should be verified. In connection with our project in this field, we decided to check how well the popular speech recognition systems work, employing models trained for the general Polish language....
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Experience Based Clinical Decision Support Systems: An Overview and Case Studies
PublicationThis chapter briefly overviews the evolution of the application of the Decisional DNA and the Set of Experience Knowledge Structure (SOEKS) in the medical domain and in particular in the specific case of the experience-based decision support systems. Decisional DNA, as a knowledge representation structure, offers great possibilities on gathering explicit knowledge of formal decision events as well as a tool for decision making...
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Segmentation Quality Refinement in Large-Scale Medical Image Dataset with Crowd-Sourced Annotations
PublicationDeployment of different techniques of deep learning including Convolutional Neural Networks (CNN) in image classification systems has accomplished outstanding results. However, the advantages and potential impact of such a system can be completely negated if it does not reach a target accuracy. To achieve high classification accuracy with low variance in medical image classification system, there is needed the large size of the...
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Fabrication and Characterization of Flexible Medical-Grade TPU Filament for Fused Deposition Modeling 3DP Technology
PublicationThe possibility of using additive manufacturing (AM) in the medicine area has created new opportunities in health care. This has contributed to a sharp increase in demand for 3D printers, their systems and materials that are adapted to strict medical requirements. We described herein a medical-grade thermoplastic polyurethane (S-TPU) which was developed and then formed into a filament for Fused Deposition Modeling (FDM) 3D printers...
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EFFICIENCY OF HEALTHCARE SYSTEMS IN EUROPEAN COUNTRIES - THE DEA NETWORK APPROACH
PublicationHealthcare systems in Europe are constantly undergoing reforms which adapt them to social, economic and political requirements. The aim of this article is to examine the efficiency of healthcare systems in 30 European countries in 2014. The Network Data Envelopment Analysis (NDEA) model was used. The efficiency of the countries’ overall health systems and their two main components were examined: the public health system and the...