Search results for: DATA DRIVEN METHODS - Bridge of Knowledge

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Search results for: DATA DRIVEN METHODS

Search results for: DATA DRIVEN METHODS

  • Epidemiologic Methods

    Journals

    ISSN: 2194-9263 , eISSN: 2161-962X

  • Methods in Enzymology

    Journals

    ISSN: 0076-6879

  • METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) (2022/2023)

    e-Learning Courses
    • P. Paradowski

    METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) - Economic Analytics, Lecture and Lab, Winter Semester 2022/2022. Teacher: dr Piotr Paradowski 

  • Big Data Analytics for ICT Monitoring and Development

    Publication

    - Year 2017

    The expanded growth of information and communication technology has opened new era of digitization which is proving to be a great challenge for researchers and scientists around the globe. The utmost paradigm is to handle and process the explosion of data with minimal cost and discover relevant hidden information in the least amount of time. The buzz word “BIG DATA” is a widely anticipated term with the potential to handle heterogeneous,...

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  • Job-related emotions and job burnout among civil servants: examining the shape of the relationship in cross-sectional and longitudinal models

    Publication

    - MEDYCYNA PRACY - Year 2019

    Wstęp: Związek pozytywności, czyli proporcji między pozytywnymi a negatywnymi emocjami, z wypaleniem zawodowym może przybierać kształt krzywoliniowy. Ponadto z perspektywy teoretycznej jest to relacja przyczynowo - skutkowa, w której pozytywność jest proksymalnym, a wypalenie – dystalnym wymiarem dobrostanu zawodowego. Dotychczasowe badania były jednak prowadzone najczęściej w planie poprzecznym i testowały relacje prostoliniowe....

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  • 3D MODELLING OF CYLINDRICAL-SHAPED OBJECTS FROM LIDAR DATA - AN ASSESSMENT BASED ON THEORETICAL MODELLING AND EXPERIMENTAL DATA

    Despite the increasing availability of measured laser scanning data and their widespread use, there is still the problem of rapid and correct numerical interpretation of results. This is due to the large number of observations that carry similar information. Therefore, it is necessary to extract from the results only the essential features of the modelled objects. Usually, it is based on a process using filtration, followed by...

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  • Bitumen Aging—Laboratory Simulation Methods Used in Practice and Selected Directions of Research on New Methods

    Publication

    - Materials - Year 2023

    Changes in the properties of bitumen binders that occur as a result of aging have a huge impact on the durability of products produced from them. In particular, asphalt pavements, which constitute the most common use of petroleum bitumen, are susceptible to damage resulting from the increasing stiffness of the bitumen during its life cycle. Increased stiffness of asphalt pavements reduces the pavement resistance to low-temperature...

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  • RDF dataset profiling - a survey of features, methods, vocabularies and applications

    Publication
    • M. B. Ellefi
    • B. Zohra
    • J. G. Breslin
    • E. Demidova
    • S. Dietze
    • K. Todorov
    • J. Szymański

    - Semantic Web - Year 2018

    The Web of Data, and in particular Linked Data, has seen tremendous growth over the past years. However, reuse and take-up of these rich data sources is often limited and focused on a few well-known and established RDF datasets. This can be partially attributed to the lack of reliable and up-to-date information about the characteristics of available datasets. While RDF datasets vary heavily with respect to the features related...

  • Visual Data Encryption for Privacy Enhancement in Surveillance Systems

    Publication

    In this paper a methodology for employing reversible visual encryption of data is proposed. The developed algorithms are focused on privacy enhancement in distributed surveillance architectures. First, motivation of the study performed and a short review of preexisting methods of privacy enhancement are presented. The algorithmic background, system architecture along with a solution for anonymization of sensitive regions of interest...

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  • Linking music data in executable documents

    Publication

    - Year 2022

    This paper presents the application of Interactive Open Document Architecture (IODA) to music and video data. This architecture was design to create multilayer documents which consist of many files. The paper shows the method of creating media documents on the basis of IODA. These kind of documents were called IODA Media Documents (IMD). IMD have links that connect many different kinds of files containing music and video data....

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  • Data reduction and stacking for imbalanced data classification

    Publication

    - Journal of Intelligent & Fuzzy Systems - Year 2019

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  • GIS Solution for Weather Forecast Data Analysis

    Publication

    In this paper authors present the GIS system for the analysis of the numerical weather prediction data. This kind of data has multidimensional character (three dimensions and time) and its analysis should consider all the available factors. Proposed GIS system consists of RASDAMAN application with implemented OLAP cube mechanism, which enables the user to process data in the spatial-time domain. It also simplifies the meteorological...

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  • Adam Władziński

    People

    Adam Władziński, a PhD Candidate at Gdansk University of Technology, specializes in Biomedical Engineering with a focus on machine learning for image processing and blockchain technology. Holding a BEng and MSc in Electronics, Adam Władziński has developed a keen interest in applying advanced computational techniques to biological systems. During their master’s program, Adam Władziński explored laser spectroscopy, building a database...

  • Integration and verification of meteorological observations and NWP model data for the local GNSS tomography

    Publication
    • J. Bosy
    • W. Rohm
    • A. Borkowski
    • K. Kroszczynski
    • M. Figurski

    - ATMOSPHERIC RESEARCH - Year 2010

    GNSS meteorology applies the Global Navigation Satellite Systems (GNSS) to derive information about the state of the atmosphere (particularly troposphere). The tomography is one of the methods used in GNSS meteorology. The input data of GNSS tomography are the signal troposphere delays, results of GNSS data processing and additionally meteorological observations and Numerical Weather Prediction (NWP) models data. Different types...

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  • Measures for interoperability of phenotypic data: minimum information requirements and formatting

    Publication
    • H. Ćwiek-Kupczyńska
    • T. Altmann
    • D. Arend
    • E. Arnaud
    • D. Chen
    • G. Cornut
    • F. Fiorani
    • W. Frohmberg
    • A. Junker
    • C. Klukas... and 16 others

    - PLANT METHODS - Year 2016

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  • METHODS OF TEACHING NOISE PROTECTION AT ENVIRONMENTAL ENGINEERING

    Publication

    Noise strongly influences both our health and behavior in everyday life and as employees or employers. The lost of hearing and other effects of noise on humans result not only in a significant decrease in the quality of life or work efficiency but have also have economic consequences. As noise can be preventable in part by the Environmental Engineers, but it is necessary to introduce them noise issues during their education process....

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  • Comparison of selected electroencephalographic signal classification methods

    A variety of methods exists for electroencephalographic (EEG) signals classification. In this paper, we briefly review selected methods developed for such a purpose. First, a short description of the EEG signal characteristics is shown. Then, a comparison between the selected EEG signal classification methods, based on the overview of research studies on this topic, is presented. Examples of methods included in the study are: Artificial...

  • Method of Decision-Making Logic Discovery in the Business Process Textual Data

    Publication

    - Year 2019

    Growing amount of complexity and enterprise data creates a need for novel business process (BP) analysis methods to assess the process optimization opportunities. This paper proposes a method of BP analysis while extracting the knowledge about Decision-Making Logic (DML) in a form of taxonomy. In this taxonomy, researchers consider the routine, semi-cognitive and cognitive DML levels as functions of BP conceptual aspects of Resources,...

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  • Massive surveillance data processing with supercomputing cluster

    In recent years, increasingly complex algorithms for automated analysis of surveillance data are being developed. The rapid growth in the number of monitoring installations and higher expectations of the quality parameters of the captured data result in an enormous computational cost of analyzing the massive volume of data. In this paper a new model of online processing of surveillance data streams is proposed, which assumes the...

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  • Towards Open Research Data in the Economics Discipline

    Publication

    Nowadays, Open Research Data, as one of the three pillars of Open Science (along with Open Access and Open Scholarly Communication), is gaining enormous attention from different academic and commercial environments. A wide range of scientific disciplines represent and produce different types of data and at the same time, gather different issues and problems in terms of sharing and dissemination research output. This chapter aims...

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  • Asynchronous Charge Carrier Injection in Perovskite Light-Emitting Transistors

    Publication

    - Advanced Electronic Materials - Year 2023

    Unbalanced mobility and injection of charge carriers in metal-halide perovskite light-emitting devices pose severe limitations to the efficiency and response time of the electroluminescence. Modulation of gate bias in methylammonium lead iodide light-emitting transistors has proven effective in increasing the brightness of light emission up to MHz frequencies. In this work, a new approach is developed to improve charge carrier...

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  • Sounding Mechanism of a Flue Organ Pipe—A Multi-Sensor Measurement Approach

    Publication

    - SENSORS - Year 2024

    This work presents an approach that integrates the results of measuring, analyzing, and modeling air flow phenomena driven by pressurized air in a flue organ pipe. The investigation concerns a Bourdon organ pipe. Measurements are performed in an anechoic chamber using the Cartesian robot equipped with a 3D acoustic vector sensor (AVS) that acquires both acoustic pressure and air particle velocity. Also, a high-speed camera is employed...

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  • Anaerobic consortia mediate Mn(IV)-dependent anaerobic oxidation of methane

    Publication

    - CHEMICAL ENGINEERING JOURNAL - Year 2023

    Manganese-dependent anaerobic oxidation of methane (Mn-AOM) is a major methane sink and vital to mitigating global warming. However, it is difficult for microorganisms to mediate electron transfer between the hardly dissolved CH4 and insoluble Mn(IV) minerals, leading to poor understanding of species mediating Mn-AOM. This study successfully enriched an anaerobic consortium mediating AOM driven by Mn-dependent respiratory growth,...

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  • Cost-Efficient Design Methodology for Compact Rat-Race Couplers

    In this article, a reliable and low-cost design methodology for simulation-driven optimization of miniaturized rat-race couplers (RRCs) is presented. We exploit a two-stage design approach, where a composite structure (a basic building block of the RRC structure) is first optimized using a pattern search algorithm, and, subsequently, the entire coupler is tuned by means of surrogate-based optimization (SBO) procedure. SBO is executed...

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  • Techniczne aspekty niezawodnej chmury obliczeniowej

    Publication

    Powszechnie wykorzystuje się przetwarzanie w chmurze ze względu na redukcję kosztów zakupu sprzętu oraz łatwość zarządzania środowiskiem. W artykule zaproponowano architekturę prywatnej chmury obliczeniowej opracowanej i uruchomionej na Politechnice Gdańskiej, w ramach której wdrożono nowy portal MOST Wiedzy. Technologia wykorzystana do budowy zarówno chmury, jak i portalu wykorzystuje jedynie rozwiązania open source. Omówiono...

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  • Digital government evolution: From transformation to contextualization

    Publication

    The Digital Government landscape is continuously changing to reflect how governments are trying to find innovative digital solutions to social, economic, political and other pressures, and how they transform themselves in the process. Understanding and predicting such changes is important for policymakers, government executives, researchers and all those who prepare, make, implement or evaluate Digital Government decisions. This...

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  • The Role of Electrostatics in Enzymes: Do Biomolecular Force Fields Reflect Protein Electric Fields?

    Publication

    - Journal of Chemical Information and Modeling - Year 2020

    Preorganization of large, directionally oriented, electric fields inside protein active sites has been proposed as a crucial contributor to catalytic mechanism in many enzymes, and it may be efficiently investigated at the atomistic level with molecular dynamics simulations. Here, we evaluate the ability of the AMOEBA polarizable force field, as well as the additive Amber ff14SB and Charmm C36m models, to describe the electric...

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  • Kriging metamodels and design re‐utilization for fast parameter tuning of antenna structures

    The paper addresses the problem of computationally efficient electromagnetic (EM)‐driven design closure of antenna structures. The foundations of the presented approach are fast kriging interpolation metamodels, utilized for two purposes: (a) producing a good starting point for further parameter tuning, and (b) yielding a reasonable Jacobian matrix estimate to jump‐start the optimization procedure. The models are rendered using...

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  • Genetic and pharmacologic proteasome augmentation ameliorates Alzheimer’s-like pathology in mouse and fly APP overexpression models

    Publication
    • E. S. Chocron
    • E. Munkácsy
    • H. S. Kim
    • P. Karpowicz
    • N. Jiang
    • C. E. Van Skike
    • N. DeRosa
    • A. Q. Banh
    • J. P. Palavicini
    • P. Wityk... and 6 others

    - Science Advances - Year 2022

    The proteasome has key roles in neuronal proteostasis, including the removal of misfolded and oxidized proteins, presynaptic protein turnover, and synaptic efficacy and plasticity. Proteasome dysfunction is a prominent feature of Alzheimer’s disease (AD). We show that prevention of proteasome dysfunction by genetic manipulation delays mortality, cell death, and cognitive deficits in fly and cell culture AD models. We developed...

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  • Membrane distillation assisting food production processes of thermally sensitive food liquid items: a review

    Publication

    Physical separation technologies have become important tool for processing in the current food manufacturing industries, especially for the products containing bioactive compounds thanks to their health benefits in costumers. As for the processing of bioactive food ingredients implies the implementation of integrated systems oriented to their separation, fractionation, and recovery. In this field, membrane distillation (MD), which...

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  • Broadening the scope of measurement and analysis of vibrations of an organ pipe employing intensity probe, simulations, and highspeed camera

    Publication

    This paper shows an integrated approach to measure, analyze, and model phenomena occurring in an organ pipe driven by pressurized air. The aim of this paper is two-fold, i.e., to measure the pressure signal and the intensity field around the mouth by means of an intensity probe and to visualize and observe the motion of the air jet, which represents the excitation mechanism of the system. This is realized through two techniques,...

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  • Do mistakes acceptance foster innovation? Polish and US cross-country study of tacit knowledge sharing in IT

    Publication

    Abstract Purpose – This study aims to understand and compare how the mechanism of innovative processes in the information technology (IT) industry – the most innovative industry worldwide – is shaped in Poland and the USA in terms of tacit knowledge awareness and sharing driven by a culture of knowledge and learning, composed of a learning climate and mistake acceptance. Design/methodology/approach – Study samples were drawn from...

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  • Synthesis of eosin modified TiO2 film with co-exposed {001} and {101} facets for photocatalytic degradation of para-aminobenzoic acid and solar H2 production

    Publication
    • J. Khan
    • M. Sayed
    • N. S. Shah
    • S. Khan
    • Y. Zhang
    • G. Boczkaj
    • H. Khan
    • D. D. Dionysiou

    - APPLIED CATALYSIS B-ENVIRONMENTAL - Year 2020

    Owing to the increasing photosensitivity and DNA damage properties of para-aminobenzoic acid (PABA), concerns have been raised over the exposure of humans to PABA. Solar light-driven photocatalysis (SPC) provides a promising solution for the effective removal of organic pollutants especially when directed towards sulfate radical (SO4−) production. Herein, we have developed a sulfite-enhanced SPC using Eosin-Y sensitized TiO2/Ti...

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  • Society 4.0: Issues, Challenges, Approaches, and Enabling Technologies

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2024

    This guest edition of Cybernetics and Systems is a broadening continuation of our last year edition titled “Intelligence Augmentation and Amplification: Approaches, Tools, and Case Studies”. This time we cover research perspective extending towards what is known as Society 4.0. Bob de Vit brought the concept of Society 4.0 to life in his book “Society 4.0 – resolving eight key issues to build a citizens society”. From the Systems...

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  • Using Isolation Forest and Alternative Data Products to Overcome Ground Truth Data Scarcity for Improved Deep Learning-based Agricultural Land Use Classification Models

    Publication
    • A. Pereira García
    • L. Porwol
    • A. Ojo

    - Year 2023

    High-quality labelled datasets represent a cornerstone in the development of deep learning models for land use classification. The high cost of data collection, the inherent errors introduced during data mapping efforts, the lack of local knowledge, and the spatial variability of the data hinder the development of accurate and spatially-transferable deep learning models in the context of agriculture. In this paper, we investigate...

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  • Evaluation of Path Based Methods for Conceptual Representation of the Text

    Publication

    Typical text clustering methods use the bag of words (BoW) representation to describe content of documents. However, this method is known to have several limitations. Employing Wikipedia as the lexical knowledge base has shown an improvement of the text representation for data-mining purposes. Promising extensions of that trend employ hierarchical organization of Wikipedia category system. In this paper we propose three path-based...

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  • Processing data on sea bottom structure obtained by means of the parametric sounding

    Publication

    The aim of the paper is to analyze data obtain during sounding of the Gdansk Bay by means of the parametric sonar. The accuracy of the sea bottom structure investigation needs the correct configuration of research equipment and the proper calibration of peripheral devices (GPS, heading sensor, motion sensor MRU-Z and navigation units) which provide necessary data to bathymetrical measurement system enabling its work with whole...

  • Automated anonymization of sensitive data on production unit

    The article presents an approach to data anonymization with the use of generally available tools. The focus is put on the practical aspects of using open-source tools in conjunction with programming libraries provided by suppliers of industrial control systems. This universal approach shows the possibilities of using various operating systems as a platform for process data anonymization. An additional advantage of the described...

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  • Interaction with medical data using QR-codes

    Publication

    Bar-codes and QR-codes (Quick Response ) are often used in healthcare. In this paper an application of QR-codes to exchange of laboratory results is presented. The secure data exchange is proposed between a laboratory and a patient and between a patient and Electronic Health Records. Advanced Encryption Standard was used to provide security of data encapsulated within a QR-code. The experimental setup, named labSeq is described....

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  • The Indication Methods and Techniques of Urban Light Pollution

    Publication

    - Year 2021

    The goal of this study is to review and categorize approaches and methods of facing urban light pollution. Probing various references and documents, the current practice focus on extracting and reviewing different types of urban light pollution detection, survey, and measurement to define a taxonomy of methods by instant comparison. The means of measurement and detecting this pollution include 14 most cited techniques that have...

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  • On the compression of multibeam sonar raw bathymetry data

    Publication

    Multibeam sonars are widely used in applications like high resolution bathymetry measurements or underwater object imaging. One of the significant problems in multibeam sensing of the marine environment is large amount of data which must be transmitted from the sonar processing unit to an operator station using a limited bit rate channel. For instance, such a situation would be in the case when the multibeam sonar was mounted on...

  • Testing the Effect of Bathymetric Data Reduction on the Shape of the Digital Bottom Model

    Publication

    - SENSORS - Year 2023

    Depth data and the digital bottom model created from it are very important in the inland and coastal water zones studies and research. The paper undertakes the subject of bathymetric data processing using reduction methods and examines the impact of data reduction according to the resulting representations of the bottom surface in the form of numerical bottom models. Data reduction is an approach that is meant to reduce the size...

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  • Facial data registration facility for biometric protection of electronic documents

    Publication

    In modern world, information is crucial, and its leakage may lead to serious losses. Documents as the main medium of information must be therefore highly protected. Nowadays, the most common way of protecting data is using passwords, however it seems inconvenient to type complex passwords, when it is needed many times a day. For that reason a significant research has been conducted on biometric authentication...

  • Review of Cybersecurity Assessment Methods: Applicability Perspective

    Publication

    Cybersecurity assessments are crucial in building the assurance that vital cyberassets are effectively protected from threats. Multiple assessment methods have been proposed during the decades of the cybersecurity field. However, a systematic literature search described in this paper reveals that their reviews are practically missing. Thus, the primary objective of this research was to fulfil this gap by comprehensively identifying...

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  • Ligation Mediated PCR methods, their possibilities and limitations

    Publication

    - Year 2013

    The application of molecular diagnostics for bacterial strain typing or identifying bacteria at the strain level is of particular importance at present. However, among the many genotyping methods that are currently available, no single one is universally ideal. In this article, we thus review the Ligation Mediated PCR group methods as prospects from which to choose. We discuss different strategies for selecting the amplified PCR...

  • Dobór rodzaju funkcjonalnego PG asfaltów według metody Superpave w zależności od stref klimatycznych w Polsce.

    Obecnie w Polsce, podobnie jak i w pozostałych krajach Unii Europejskiej, asfalty drogowe są badane i klasyfikowane głównie w oparciu o wynik oznaczenia penetracji w temperaturze 25ºC niezależnie od warunków klimatycznych, w jakich potem mają one pracować w nawierzchni drogowej. Pod koniec ubiegłego wieku w ramach amerykańskiego programu SHRP opracowano i wdrożono nowy system klasyfikacji asfaltów. Ideą wprowadzenia nowego systemu...

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  • Qualitative Research Methods

    e-Learning Courses
    • K. Zięba

  • FORECASTING - QUANTITATIVE METHODS

    e-Learning Courses
    • P. Paradowski

  • Advanced Ship Control Methods

    Publication

    The chapter presents two main streams of research in vessel control at sea: dynamic positioning (DP) of the vessel and decision support in case of collision at sea. The control structure and basic requirements for the DP system are defined. Selected issues of automatic control of a dynamically positioned vessel are discussed. A review of advanced methods of controlling a DP ship is carried out, taking into account the tasks of...

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  • The OpenMolcas Web: A Community-Driven Approach to Advancing Computational Chemistry

    Open Research Data
    open access
    • M. Krośnicki

    The developments of the open-source OpenMolcas chemistry software environment since spring 2020 are described, with a focus on novel functionalities accessible in the stable branch of the package or via interfaces with other packages. These developments span a wide range of topics in computational chemistry and are presented in thematic sections: electronic...