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1

Benedini, Marcello. Water Quality Modelling for Rivers and Streams. Dordrecht: Springer Netherlands, 2013.

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2

Langtangen, Hans Petter. Scaling of Differential Equations. Cham: Springer Nature, 2016.

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3

Javaheri, Alireza. Inside Volatility Arbitrage. New York: John Wiley & Sons, Ltd., 2006.

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4

Jorgensen, Sven E. Thermodynamics and Ecological Modelling (Environmental & Ecological (Math) Modeling Series). CRC, 2000.

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5

Takagi, Tsuyoshi, Noboru Kunihiro, Masato Wakayama, Keisuke Tanaka, Kazufumi Kimoto, and Dung Hoang Duong. Mathematical Modelling for Next-Generation Cryptography: CREST Crypto-Math Project. Springer, 2018.

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6

Takagi, Tsuyoshi, Noboru Kunihiro, Masato Wakayama, Keisuke Tanaka, Kazufumi Kimoto, and Dung Hoang Duong. Mathematical Modelling for Next-Generation Cryptography: CREST Crypto-Math Project. Springer, 2017.

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7

Takagi, Tsuyoshi, Masato Wakayama, and Keisuke Tanaka. Mathematical Modelling for Next-Generation Cryptography: CREST Crypto-Math Project. Springer, 2017.

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8

Math Everywhere: Deterministic and Stochastic Modelling in Biomedicine, Economics and Industry. Springer, 2006.

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9

Edwards, C. Henry, and Mary Ellen Davis. Elementary Math Modeling Updated (2nd Edition). Prentice Hall, 2007.

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10

Edwards, C. Henry, and Mary Ellen Davis. Elementary Math Modeling Updated (2nd Edition). 2nd ed. Prentice Hall, 2007.

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11

Benedini, Marcello, and George Tsakiris. Water Quality Modelling for Rivers and Streams. Springer, 2013.

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12

Differential Equations: Computing and Modeling Tech Update and Mylab Math with Pearson EText -- Title-Specific Access Card Package. Pearson Education Canada, 2018.

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13

G, Aletti, Burger Martin, Micheletti P. A. 1951-, Morale Daniela, and Capasso Vincenzo 1945-, eds. Math everywhere: Deterministic and stochastic modelling in biomedicine, economics and industry ; dedicated to the 60th birthday of Vincenzo Capasso. Berlin: Springer, 2007.

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14

Penney, David E., C. Henry Edwards, and David Calvis. Differential Equations: Computing and Modeling Tech Update, Books a la Carte, and Mylab Math with Pearson EText -- Title-Specific Access Card Package. Pearson Education Canada, 2018.

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15

Lovitt. Maths Problem Solving & Modelling. South-Western Educational Publishing, 1999.

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16

Lovitt. Maths Problem Solving & Modelling. South-Western Educational Publishing, 1999.

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17

Tveito, Aslak. Modeling Excitable Tissue: The EMI Framework. Springer Nature, 2021.

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18

Langtangen, Hans Petter, and Geir K. Pedersen. Scaling of Differential Equations. Springer, 2016.

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19

de, Lange Jan, and International Conference on the Teaching of Mathematical Modelling in Applications (5th : 1991 : Noordwijkerhout, Netherlands), eds. Innovation in maths education by modelling and applications. New York: E. Horwood, 1993.

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20

Modelling nutrient digestion and utilisation in farm animals. Wageningen: Wageningen Academic Publishers, 2010.

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21

(Editor), E. Perpète, and Manuel Laso (Editor), eds. Multiscale Modelling of Polymer Properties, Volume 22 (Computer Aided Chemical Engineering). Elsevier Science, 2006.

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22

Bungartz, Hans-Joachim. Software for Exascale Computing - SPPEXA 2016-2019. Springer Nature, 2020.

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23

Keitel, Christine, Ian Huntley, Mogens Niss, and Jan De Lange. Innovation in Maths Education by Modelling and Applications (Mathematics and Its Applications (Ellis Horwood Ltd)). Ellis Horwood Ltd, 1993.

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24

Keitel, Christine, Ian Huntley, Mogens Niss, and Jan De Lange. Innovation in Maths Education by Modelling and Applications (Mathematics and Its Applications (Ellis Horwood Ltd)). Ellis Horwood Ltd, 1993.

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25

Baldini, Alfredo, Jaromir Benes, Andrew Berg, Mai C. Dao, and Rafael Portillo. Monetary Policy in Low-Income Countries in the Face of the Global Crisis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198785811.003.0017.

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The authors develop a dynamic stochastic general equilibrium (DSGE) model with a banking sector to analyse the impact of the financial crisis in developing countries and the role of the monetary policy response, with an application to Zambia. The crisis is interpreted as a combination of three related shocks: a worsening in the terms of the trade, an increase in the country’s risk premium, and a decrease in the risk appetite of local banks. Model simulations broadly match the path of the economy during this period. The model-based analysis reveals that the initial policy response contributed to the domestic impact of the crisis by further tightening financial conditions. The authors derive policy implications for central banks, and for dynamic stochastic general equilibrium modelling of monetary policy, in low-income countries.
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26

Singpurwalla, Nozer. Reliability And Risk: A Bayesian Perspective. John Wiley & Sons Inc, 2006.

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27

Javaheri, Alireza. Inside Volatility Arbitrage: The Secrets of Skewness. Wiley & Sons, Incorporated, John, 2011.

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28

Inside Volatility Arbitrage : The Secrets of Skewness. Wiley, 2005.

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29

Trepulė, Elena, Airina Volungevičienė, Margarita Teresevičienė, Estela Daukšienė, Rasa Greenspon, Giedrė Tamoliūnė, Marius Šadauskas, and Gintarė Vaitonytė. Guidelines for open and online learning assessment and recognition with reference to the National and European qualification framework: micro-credentials as a proposal for tuning and transparency. Vytauto Didžiojo universitetas, 2021. http://dx.doi.org/10.7220/9786094674792.

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These Guidelines are one of the results of the four-year research project “Open Online Learning for Digital and Networked Society” (2017-2021). The project objective was to enable university teachers to design open and online learning through open and online learning curriculum and environment applying learning analytics as a metacognitive tool and creating open and online learning assessment and recognition practices, responding to the needs of digital and networked society. The research of the project resulted in 10 scientific publications and 2 studies prepared by Vytautas Magnus university Institute of Innovative Studies research team in collaboration with their international research partners from Germany, Spain and Portugal. The final stage of the research attempted creating open and online learning assessment and recognition practices, responding to the learner needs in contemporary digital and networked society. The need for open learning recognition has been increasing during the recent decade while the developments of open learning related to the Covid 19 pandemics have dramatically increased the need for systematic and high-quality assessment and recognition of learning acquired online. The given time also relates to the increased need to offer micro-credentials to learners, as well as a rising need for universities to prepare for micro-credentialization and issue new digital credentials to learners who are regular students, as well as adult learners joining for single courses. The increased need of all labour - market participants for frequent and fast renewal of competences requires a well working and easy to use system of open learning assessment and recognition. For learners, it is critical that the micro-credentials are well linked to national and European qualification frameworks, as well as European digital credential infrastructures (e.g., Europass and similar). For employers, it is important to receive requested quality information that is encrypted in the metadata of the credential. While for universities, there is the need to properly prepare institutional digital infrastructure, organizational procedures, descriptions of open learning opportunities and virtual learning environments to share, import and export the meta-data easily and seamlessly through European Digital Hub service infrastructures, as well as ensure that academic and administrative staff has digital competencies to design, issue and recognise open learning through digital and micro-credentials. The first chapter of the Guidelines provides a background view of the European Qualification Framework and National Qualification frameworks for the further system of gaining, stacking and modelling further qualifications through open online learning. The second chapter suggests the review of current European policy papers and consultations on the establishment of micro-credentials in European higher education. The findings of the report of micro-credentials higher education consultation group “European Approach to Micro-credentials” is shortly introduced, as well as important policy discussions taking place. Responding to the Rome Bologna Comunique 2020, where the ministers responsible for higher education agreed to support lifelong learning through issuing micro-credentials, a joint endeavour of DG Employment, Social Affairs and Inclusion and DG Research and Innovation resulted in one of the most important political documents highlighting the potential of micro-credentials towards economic, social and education innovations. The consultation group of experts from the Member States defined the approach to micro-credentials to facilitate their validation, recognition and portability, as well as to foster a larger uptake to support individual learning in any subject area and at any stage of life or career. The Consultation Group also suggested further urgent topics to be discussed, including the storage, data exchange, portability, and data standards of micro-credentials and proposed EU Standard of constitutive elements of micro-credentials. The third chapter is devoted to the institutional readiness to issue and to recognize digital and micro-credentials. Universities need strategic decisions and procedures ready to be enacted for assessment of open learning and issuing micro-credentials. The administrative and academic staff needs to be aware and confident to follow these procedures while keeping the quality assurance procedures in place, as well. The process needs to include increasing teacher awareness in the processes of open learning assessment and the role of micro-credentials for the competitiveness of lifelong learners in general. When the strategic documents and procedures to assess open learning are in place and the staff is ready and well aware of the processes, the description of the courses and the virtual learning environment needs to be prepared to provide the necessary metadata for the assessment of open learning and issuing of micro-credentials. Different innovation-driven projects offer solutions: OEPass developed a pilot Learning Passport, based on European Diploma Supplement, MicroHE developed a portal Credentify for displaying, verifying and sharing micro-credential data. Credentify platform is using Blockchain technology and is developed to comply with European Qualifications Framework. Institutions, willing to join Credentify platform, should make strategic discussions to apply micro-credential metadata standards. The ECCOE project building on outcomes of OEPass and MicroHE offers an all-encompassing set of quality descriptors for credentials and the descriptions of learning opportunities in higher education. The third chapter also describes the requirements for university structures to interact with the Europass digital credentials infrastructure. In 2020, European Commission launched a new Europass platform with Digital Credential Infrastructure in place. Higher education institutions issuing micro-credentials linked to Europass digital credentials infrastructure may offer added value for the learners and can increase reliability and fraud-resistant information for the employers. However, before using Europass Digital Credentials, universities should fulfil the necessary preconditions that include obtaining a qualified electronic seal, installing additional software and preparing the necessary data templates. Moreover, the virtual learning environment needs to be prepared to export learning outcomes to a digital credential, maintaining and securing learner authentication. Open learning opportunity descriptions also need to be adjusted to transfer and match information for the credential meta-data. The Fourth chapter illustrates how digital badges as a type of micro-credentials in open online learning assessment may be used in higher education to create added value for the learners and employers. An adequately provided metadata allows using digital badges as a valuable tool for recognition in all learning settings, including formal, non-formal and informal.
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