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Search results for: BLENDED E-LEARNING
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Uwarunkowania rozwoju e-administracji w Polsce
PublicationCelem opracowania są w szczególności: - Ocena poziomu rozwoju e-administracji w Polsce oraz innych, w szczególności europejskich, krajach w okresie transformacji. - Identyfikacja i ocena wpływu czynników determinujących poziom rozwoju e-administracji. - Wskazanie korzyści wynikających ze stosowania rozwiązań e-administracji oraz barier w ich wdrażaniu. - Identyfikacja problemów i niespójności w planowaniu i realizacji e-usług publicznych. -...
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Architektoniczne aspekty e-Uczelni
PublicationProces informatyzacji uczelni polega na tworzeniu wirtualnych węzłów funkcjonalnych usprawniających organizację kampusu i dostęp do informacji. Węzły te budowane są w oparciu o specjalne urządzenia elektroniczne oraz odpowiednie oprogramowanie prowadząc tym samym do rozwoju e-uczelni. Z architektonicznego punktu widzenia nie jest to jednak podejście kompleksowe. Istotne jest całościowe potraktowanie struktury kampusu jako ośrodka...
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Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance
PublicationIdentification of active electrodes that record task-relevant neurophysiological activity is needed for clinical and industrial applications as well as for investigating brain functions. We developed an unsupervised, fully automated approach to classify active electrodes showing event-related intracranial EEG (iEEG) responses from 115 patients performing a free recall verbal memory task. Our approach employed new interpretable...
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Multimedia data mining for e-Commerce.
PublicationPrzedstawiono studium porównawcze metod eksploracji danych dla e-Commerce.Skupiono się na studium przypadku aplikacji medycznych - wyszukiwania przypadków podobnych.
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Federated Learning in Healthcare Industry: Mammography Case Study
PublicationThe paper focuses on the role of federated learning in a healthcare environment. The experimental setup involved different healthcare providers, each with their datasets. A comparison was made between training a deep learning model using traditional methods, where all the data is stored in one place, and using federated learning, where the data is distributed among the workers. The experiment aimed to identify possible challenges...
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Speech Analytics Based on Machine Learning
PublicationIn this chapter, the process of speech data preparation for machine learning is discussed in detail. Examples of speech analytics methods applied to phonemes and allophones are shown. Further, an approach to automatic phoneme recognition involving optimized parametrization and a classifier belonging to machine learning algorithms is discussed. Feature vectors are built on the basis of descriptors coming from the music information...
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Software Factory project for enhancement of student experiential learning
PublicationProviding opportunities for students to work on real-world software development projects for real customers is critical to prepare students for the IT industry. Such projects help students to understand what they will face in the industry and experience real customer interaction and challenges in collaborative work. To provide this opportunity in an academic environment and enhance the learning and multicultural teamwork experience,...
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E-egzamin - analiza statystyczna wyników
PublicationDnia 4 marca 2008 roku, po raz pierwszy w Polsce, odbył się próbny egzamin gimnazjalny z części matematyczno-przyrodniczej, przeprowadzany drogą elektroniczną, ''E-egzamin 2008''. Organizatorami egzaminu byli: Wyższa Szkoła Humanistyczno-Ekonomiczna i WSiP. Patronat nad projektem objęli: Minister EN i dyrektor Centralnej Komisji Egzaminacyjnej. Nietypowy próbny egzamin gimnazjalny pisało w jednym czasie kilka tysięcy gimnazjalistów...
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Study of various machine learning approaches for Sentinel-2 derived bathymetry
PublicationIn recent years precise and up-to-date information regarding seabed depth has become more and more important for companies and institutions that operate on coastlines. While direct, in-situ measurements are performed regularly, they are expensive, time-consuming and impractical to be performed in short time intervals. At the same time, an ever-increasing amount of satellite imaging data becomes available. With these images, it...
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Model of distributed learning objects repository for a heterogenic internet environment
PublicationW artykule wprowadzono pojęcie komponentu edukacyjnego jako rozszerzenie obiektu edukacyjnego o elementy zachowania (metody). Zaproponowane podejście jest zgodne z paradygmatem obiektowym. W oparciu o komponent edukacyjny zaprojektowano model budowy repozytorium materiałów edukacyjnych. Model ten jest oparty o usługi sieciowe i rejestry UDDI. Komponent edukacyjny oraz model repozytorium mogą znaleźć zastosowanie w konstrukcji zbiorów...
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Application of Intelligent Conversational Agents in E-learing Environments
PublicationThe paper concerns intelligent tutoring systems and concentrates on apliaction of virtual mentors in distance learning environments. Different educational agent types are described. The prototype of an agent developed at Gdansk University of Technology is also presented, as well as its internal representation and construction. Benefits of virtual mentors applied in distance learning are also pointed out.
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Deep learning in the fog
PublicationIn the era of a ubiquitous Internet of Things and fast artificial intelligence advance, especially thanks to deep learning networks and hardware acceleration, we face rapid growth of highly decentralized and intelligent solutions that offer functionality of data processing closer to the end user. Internet of Things usually produces a huge amount of data that to be effectively analyzed, especially with neural networks, demands high...
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An adaptive-noise Augmented Kalman Filter approach for input-state estimation in structural dynamics
PublicationThe establishment of a Digital Twin of an operating engineered system can increase the potency of Structural Health Monitoring (SHM) tools, which are then bestowed with enhanced predictive capabilities. This is particularly relevant for wind energy infrastructures, where the definition of remaining useful life is a main driver for assessing the efficacy of these systems. In order to ensure a proper representation of the physical...
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Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models
PublicationBreast cancer is the most frequent female cancer. Its early diagnosis increases the chances of a complete cure for the patient. Suitably designed deep learning algorithms can be an excellent tool for quick screening analysis and support radiologists and oncologists in diagnosing breast cancer.The design of a deep learning-based system for automated breast cancer diagnosis is not easy due to the lack of annotated data, especially...
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Optical method supported by machine learning for urinary tract infection detection and urosepsis risk assessment
PublicationThe study presents an optical method supported by machine learning for discriminating urinary tract infections from an infection capable of causing urosepsis. The method comprises spectra of spectroscopy measurement of artificial urine samples with bacteria from solid cultures of clinical E. coli strains. To provide a reliable classification of results assistance of 27 algorithms was tested. We proved that is possible to obtain...
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Computer-assisted assessment of learning outcomes in the laboratory of metrology
PublicationIn the paper, didactic experience with broad and rapid continuous assessment of students’ knowledge, skills and competencies in the Laboratory of Metrology, which is an example of utilisation of assessment for learning, is presented. A learning management system was designed for manage, tracking, reporting of learning program and assessing learning outcomes. It has ability to provide with immediate feedback, which is used by the...
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How Machine Learning Contributes to Solve Acoustical Problems
PublicationMachine learning is the process of learning functional relationships between measured signals (called percepts in the artificial intelligence literature) and some output of interest. In some cases, we wish to learn very specific relationships from signals such as identifying the language of a speaker (e.g. Zissman, 1996) which has direct applications such as in call center routing or performing a music information retrieval task...
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Możliwości rozwoju transportu kontenerowego na międzynarodowych drogach wodnych E 70 i E 40
PublicationW artykule przedstawiono charakterystykę przewozów różnego rodzaju ładunków z wykorzystaniem transportu śródlądowego na międzynarodowych drogach wodnych E 70 i E40 na odcinku porty morskie Gdańsk, Gdynia – ujście Wisły – Wisła – rejon Solca Kujawskiego. Zaprezentowano dynamikę rozwoju przeładunków ładunków w portach Gdańsk, Gdynia ze szczególnym uwzględnieniem terminali kontenerowych. Zaproponowano utworzenie portu multimodalnego...
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Machine Learning in Multi-Agent Systems using Associative Arrays
PublicationIn this paper, a new machine learning algorithm for multi-agent systems is introduced. The algorithm is based on associative arrays, thus it becomes less complex and more efficient substitute of artificial neural networks and Bayesian networks, which is confirmed by performance measurements. Implementation of machine learning algorithm in multi-agent system for aided design of selected control systems allowed to improve the performance...
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Self-Supervised Learning to Increase the Performance of Skin Lesion Classification
PublicationTo successfully train a deep neural network, a large amount of human-labeled data is required. Unfortunately, in many areas, collecting and labeling data is a difficult and tedious task. Several ways have been developed to mitigate the problem associated with the shortage of data, the most common of which is transfer learning. However, in many cases, the use of transfer learning as the only remedy is insufficient. In this study,...
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Analysis of Learning Outcomes in Medical Education with the Use of Fuzzy Logic
PublicationThe national curricula of the EU member states are structured around learning outcomes, selected according to Bloom’s Taxonomy. The authors of this paper claim that using Bloom’s Taxonomy to phrase learning outcomes in medical education in terms of students’ achievements is difficult and unclear. This paper presents an efficient method of assessing course learning outcomes using Fuzzy Logic.
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Social Learning in Cluster Organizations and Accumulation of Technological Capability
PublicationThe purpose of the paper is to present how members of cluster organizations perceive their role in the accumulation of technological capability through social learning. The paper presents the results of a qualitative study of four cluster organizations. The theoretical foundation of the study are the communities of practice and the organizational inertia theories. The study indicates that the dynamics of technological capability...
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Machine Learning Techniques in Concrete Mix Design
PublicationConcrete mix design is a complex and multistage process in which we try to find the best composition of ingredients to create good performing concrete. In contemporary literature, as well as in state-of-the-art corporate practice, there are some methods of concrete mix design, from which the most popular are methods derived from The Three Equation Method. One of the most important features of concrete is compressive strength, which...
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Introduction to the special issue on machine learning in acoustics
PublicationWhen we started our Call for Papers for a Special Issue on “Machine Learning in Acoustics” in the Journal of the Acoustical Society of America, our ambition was to invite papers in which machine learning was applied to all acoustics areas. They were listed, but not limited to, as follows: • Music and synthesis analysis • Music sentiment analysis • Music perception • Intelligent music recognition • Musical source separation • Singing...
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Program rewitalizacji drogi wodnej E-70
PublicationCoraz wyraźniej rysuje się potrzeba uruchomienia korytarzy transportowych północ- południe, w których drogom wodnym wykorzystującym Wisłę i Odrę przypisuje się coraz większe znaczenie w tym także równoleżnikowemu szlakowi E-70 spinającemu całą Europę. W pracy Autor przedstawił stan istniejący i uwarunkowania rozwoju dróg wodnych,kierunki i cele rewitalizacji oraz cele i uwarunkowania środowiskowe i gospodarcze.Opracowna Strategia...
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The effect of processing on the safety and nutritional value
PublicationAgricultural crops as well as animal food raw materials are usually somehow processed before being used by humans. Processing should make them more useful, increase their safety and nutritional value, extend the shelf life, and modify the sensory properties. However, changes and interactions of various compounds in the conditions of processing may generate products toxic or otherwise unsafe for the human organism. The food industry...
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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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Comparison of Z-E isomerization in Langmuir-Blodgett layers and in solution
PublicationPorównano izomeryzację Z-E w monowarstwie Langmuira-Blodgett i w roztworze. Badanymi cząsteczkami były etery koronowe z elektro- i fotoaktywną resztą azobenzenu jako częścią makrocyklu. Szybkość fotoindukowanej izomeryzacji E-Z i spontanicznej termicznej reakcji Z-E była obliczana na podstawie pomiarów elektrochemicznych i spektroskopowych. Stwierdzono, że izomeryzacja jest szybsza w monowarstwie niż w roztworze.
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Editorial [Hot topic: Controversies in Hypertension Treatment (Guest Editors: Maciej Banach, Sverre E. Kjeldsen and Krzysztof Narkiewicz)]
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Breast MRI segmentation by deep learning: key gaps and challenges
PublicationBreast MRI segmentation plays a vital role in early diagnosis and treatment planning of breast anomalies. Convolutional neural networks with deep learning have indicated promise in automating this process, but significant gaps and challenges remain to address. This PubMed-based review provides a comprehensive literature overview of the latest deep learning models used for breast segmentation. The article categorizes the literature...
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Lekcja z e-doświadczeniem :Obwody prądu stałego
Publicationartykuł ma na celi pokazanie i zachęcenie do głębszego zapoznania się z e-doświadczeniami dot. obwodów prądu stałego
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Machine Learning and Electronic Noses for Medical Diagnostics
PublicationThe need for noninvasive, easy-to-use, and inexpensive methods for point-of-care diagnostics of a variety of ailments motivates researchers to develop methods for analyzing complex biological samples, in particular human breath, that could aid in screening and early diagnosis. There are hopes that electronic noses, that is, devices based on arrays of semiselective or nonselective chemical sensors, can fill this niche. Electronic...
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E-Technologies in Teaching Research Methodology for Engineers – a Case Study of the Course for International Postgraduate Students
PublicationThe Research Methodology course for postgraduate students is challenging, even for an experienced academic teacher. The primary objective of this course is to prepare participants to conduct scientific research and publish the results. This case study presents an original teaching method applied to Research Methodology with Emphasis on Engineering Science, for international engineering students at...
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Active Learning Based on Crowdsourced Data
PublicationThe paper proposes a crowdsourcing-based approach for annotated data acquisition and means to support Active Learning training approach. In the proposed solution, aimed at data engineers, the knowledge of the crowd serves as an oracle that is able to judge whether the given sample is informative or not. The proposed solution reduces the amount of work needed to annotate large sets of data. Furthermore, it allows a perpetual increase...
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COLLABORATIVE LEARNING ENVIRONMENT FOR ENGINEERING EDUCATION (COLED)
PublicationCollaborative Learning Environment for Engineering Education is a European project implemented under the Erasmus + program, The main goal of 5 partners from 4 different European countries – Bulgaria, Poland, Portugal and Romania is to develop an innovative collaborative training approach, encompassing curricula related to the introduction of enterprise automation. Project activities are carried out in the period from Dctober 2018...
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PORTRET POLSKIEGO E-KONSUMENTA I JEGO ZACHOWANIA
PublicationPojawienie się kategorii nowego konsumenta związane z tym, że internet nie jest już tylko miejscem, gdzie można spędzać swój czas wolny czy zawiązywać nowe znajomości, powoduje, że staje się on przedmiotem zainteresowań naukowców i przedsiębiorców. Kim jest i jak definiować pojęcie e-konsumenta oraz jego zachowania? Celem niniejszego artykułu jest próba przedstawienia aktualnego portretu polskiego e-konsumenta oraz jego zachowań...
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STUDENTS' PERCEPTION OF E-GRADING: INFORMATICS COURSE CASE STUDY
PublicationUsing computers for grading can simplify work for teachers. However it is a sensitive part of their work and must be performed carefully. More information is required on students' reception and opinions about e-grading. This paper is a case study of e-grading used in Informatics course and discusses results obtained from surveying the students after being graded by a teacher and a computer.
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Appendix E
PublicationThe advance of variable speed drives systems (VSDs) engineering highlights the need of specific technical guidance provision by electrical machines and drives manufacturers, so that such applications can be properly designed to present advantages in terms of both energy efficiency and expenditure. This book presents problems and solutions related to inverter-fed electrical motors. Practically orientated, the book describes the...
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Learning from Mistakes. A Study on Maturity and Adaptability to Change
PublicationLearning culture matters; company culture must support continuous improvement. Organizational learning is a process of identifying and modifying mistakes that result from interactions between co-workers. The article aims to explore the learning power via errors, using the level of organizational maturity as a moderator. Companies need to know how organizational maturity may moderate the adaptability to change via the acceptance...
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Processes of enhancing the intelligence of Learning Organizations on the basis of Competence Centers
PublicationThe process of organizational learning and proper knowledge management became today one of the major challenges for the organization acting in the knowledge-based economy. According to the observations of the authors of this paper the demand for formalization of knowledge management processes and organizational learning is particularly evident in research institutions, established either by the universities, or the companies. The...
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Interaction of the conserved region 4.2 of sigma(E) with the RseA anti-sigma factor
PublicationEo-E RNA polymerase transcribes a regulon of folding factors for the bacterial envelope and is induced by physical and chemical stresses. The RseA anti-sigma factor inhibits the activity of Esigma(E) RNA, polymerase. It is shown here that the N-terminal portion of sigma(E), residues 1-153, binds core RNA polymerase. RseA interacts with residues 154-191 of sigma(E), a site that is homologous to region 4, the sigma factor binding...
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Concentration levels of selected analytes in the gas phase of an e-cigarette aerosol
PublicationThe aerosols generated from e-cigarettes are composed of liquid and gas phases resulting from vapourized e-liquid. The apportioning of substances from e-liquid into the liquid and gas phases during e-cigarette use has not been extensively studied. Partitioning of e-liquid components between the gas and the liquid phase of the aerosol influences the substances inhaled and exhaled by the users, leading to second-hand exposure. It...
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The Cultures of Knowledge Organizations: Knowledge, Learning, Collaboration (KLC)
PublicationThis book focuses on seeing, understanding, and learning to shape an organization’s essential cultures. The book is grounded on a fundamental assumption that every organization has a de facto culture. These “de facto cultures” appear at first glance to be serendipitous, vague, invisible, and unmanaged. An invisible and unrecognized de facto culture can undermine business goals and strategies and lead to business failures. The authors...
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Ewolucja standardów wymiany informacji w zastosowaniach e-commerce
PublicationCelem e-commerce od początku była automatyzacja procesów związanych z transakcją między dwoma podmiotami. Wielką zaletą handlu elektronicznego jest eliminacja wszystkich działań wykonywanych ręcznie, pozwalając wymieniać informacje wewnętrznym aplikacjom firm. By jednak tego typu rozwiązanie były możliwe, konieczne było ustanowienie standardów przekazu e-dokumentów. W artykule zawarto charakterystykę tych, na bazie których ukształtował...
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Designing acoustic scattering elements using machine learning methods
PublicationIn the process of the design and correction of room acoustic properties, it is often necessary to select the appropriate type of acoustic treatment devices and make decisions regarding their size, geometry, and location of the devices inside the room under the treatment process. The goal of this doctoral dissertation is to develop and validate a mathematical model that allows predicting the effects of the application of the scattering...
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Assessing the attractiveness of human face based on machine learning
PublicationThe attractiveness of the face plays an important role in everyday life, especially in the modern world where social media and the Internet surround us. In this study, an attempt to assess the attractiveness of a face by machine learning is shown. Attractiveness is determined by three deep models whose sum of predictions is the final score. Two annotated datasets available in the literature are employed for training and testing...
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Evaluation of ChatGPT Applicability to Learning Quantum Physics
PublicationChatGPT is an application that uses a large language model. Its purpose is to generate answers to various questions as well as provide information, help solve problems and participate in conversations on a wide range of topics. This application is also widely used by students for the purposes of learning or cheating (e.g., writing essays or programming codes). Therefore, in this contribution, we evaluate the ability of ChatGPT...
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Informal Workplace Learning and Employee Development. Growing in the Organizational New Normal
PublicationThe new paradigm in employee development assumes that employees should proactively direct their learning and growth. Most workplace learning is basically informal and occurs through daily work routines, peer-to-peer interactions, networking, and typically brings about significant positive outcomes to both individuals and organizations. Yet, workplace learning always occurs in a pre-defined context and this context has recently...
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Architektury systemów informatycznych wspomagających rozwój e-uczelni
PublicationPrzedstawiono charakterystykę podstawowych kategorii architektur systemów informatycznych. Zaprezentowano koncepcję środowiska zintegrowanego e-uczelni opartą na architekturze zorientowanej na usługi dostępne dla poszczególnych kategorii użytkowników. Uzasadniono wybór takiego podejścia oraz przeanalizowano aspekty bezpieczeństwa. Omówiono również zasady integracji istniejących już systemów.
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Efficient removal of dyes and proteins by nitrogen-doped porous graphene blended polyethersulfone nanocomposite membranes
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