Food Nutrition Security Cloud

Información del proyecto

FNS-Cloud

Identificador del acuerdo de subvención: 863059

DOI 10.3030/863059

Proyecto cerrado

Fecha de la firma de la CE 12 Septiembre 2019

Fecha de inicio 1 Octubre 2019

Fecha de finalización 30 Septiembre 2023

Financiado con arreglo a

• SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy

Coste total € 11 008 132,67

Aportación de la UE € 10 189 549,91

Coordinado por

RTDS - VEREIN ZUR FORDERUNG DER KOMMUNIKATION UND VERMITTLUNG VON FORSCHUNG, TECHNOLOGIE UND INNOVATION (RTDS VEREIN, ENGL. RTDS ASSOCIATION)
Austria

Resultado final

Documents, reports (2)

D8.1 FNS-Cloud Charter

A strategic position paper based on the fundamentals analysed in Tasks 81 82 and 83 signed off by the General Assembly as the basis for a sustainable entity

D2.1 Definition of data models and APIs

The deliverable will contain a map of food data areas For each FNS data area data model entities and attributes and APIs signatures parameters and result will be described

Other (6)

D4.3 Report on specifications and access concept for TDS data

User requirements specifications for concentration and consumption data sources, matching tool, simple analysis, and MRCA app(s), low contamination shopping advisor mobile app (low-end user) and food and mixtures apps (high-end user).

D3.2 Methodology for FNS data standardisation and interoperability

Report and open source code for data pre-processing, curation and annotation, matching, analysis and visualisation extended methods will be published on a development platform (e.g., GitHub). FNS ontology will be published on the NCBO BioPortal.

D6.2 Portfolio of communications resources

Communications tools (e.g. branding, resources and literature, web-content, templates, etc.)

D6.4 Portfolio of communications resources

Communications tools (e.g. branding, resources and literature, web-content, templates, etc.) (Update)

D4.2 Food labelling data and reformulation tools

Tool supporting crowd-sourcing of front-of-pack, nutrition declaration, and ingredients images that can be exploited for Food Monitoring Surveys.

D2.4 Authentication and authorisation infrastructure

Authentication and authorisation infrastructure (AAI) will be implemented and deployed, and the FNS-Cloud manual will describe their use. A report will document the work done and AAI functionality.

Demonstrators, pilots, prototypes (1)

D7.1 eLearning

e-learning content and inventory of resources

Publicaciones

Book chapters (3)

Food Data Normalization Using Lexical and Semantic Similarities Heuristics

Autores: Gordana Ispirova, Gorjan Popovski, Eva Valenčič, Nina Hadzi-Kotarova, Tome Eftimov, Barbara Koroušić Seljak
Publicado en: Biomedical Engineering Systems and Technologies - 13th International Joint Conference, BIOSTEC 2020, Valletta, Malta, February 24–26, 2020, Revised Selected Papers, Edición 1400, 2021, Página(s) 468-485, ISBN 978-3-030-72378-1
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-72379-8_23

FoodOntoMapV2: Food Concepts Normalization Across Food Ontologies

Autores: Gorjan Popovski, Barbara Koroušić Seljak, Tome Eftimov
Publicado en: Knowledge Discovery, Knowledge Engineering and Knowledge Management - 11th International Joint Conference, IC3K 2019, Vienna, Austria, September 17-19, 2019, Revised Selected Papers, Edición 1297, 2020, Página(s) 413-426, ISBN 978-3-030-66195-3
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-66196-0_19

FoodViz: Visualization of Food Entities Linked Across Different Standards

Autores: Riste Stojanov, Gorjan Popovski, Nasi Jofce, Dimitar Trajanov, Barbara Koroušić Seljak, Tome Eftimov
Publicado en: Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part II, Edición 12566, 2020, Página(s) 28-38, ISBN 978-3-030-64579-3
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-64580-9_4

Conference proceedings (24)

Predefined domain specific embeddings of food concepts and recipes

Autores: Ispirova, Gordana; Eftimov, Tome; Koroušić-Seljak, Barbara
Publicado en: 2022 IEEE International Conference on Big Data, Edición 1, 2022, Página(s) 4074-4083, ISBN 978-1-6654-8045-1
Editor: IEEE
DOI: 10.1109/bigdata55660.2022.10020698

SciFoodNER

Autores: Cenikj, Gjorgjina; Petelin, Gašper; Koroušić-Seljak, Barbara; Eftimov, Tome
Publicado en: https://dirros.openscience.si/Dokument.php?id=22530&lang=slv, Edición Annually, 2022, Página(s) 4065-4073, ISBN 9781119701859
Editor: IEEE
DOI: 10.1109/bigdata55660.2022.10020459

Food Data Integration by using Heuristics based on Lexical and Semantic Similarities

Autores: Gorjan Popovski, Gordana Ispirova, Nina Hadzi-Kotarova, Eva Valenčič, Tome Eftimov, Barbara Seljak
Publicado en: Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies, Edición anually, 2020, Página(s) 208-216, ISBN 978-989-758-398-8
Editor: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0008990602080216

Exploring a standardized language for describing foods using embedding techniques

Autores: Gorjan Popovski, Bibek Paudel, Tome Eftimov, Barbara Korousic Seljak
Publicado en: 2019 IEEE International Conference on Big Data (Big Data), Edición anually, 2019, Página(s) 5172-5176, ISBN 978-1-7281-0858-2
Editor: IEEE
DOI: 10.1109/bigdata47090.2019.9005970

Toward improved semantic annotation of food and nutrition data

Autores: Jovanovska, L., Panov, P.
Publicado en: Proceedings of the 23rd International Multiconference Information Society - Data mining and Data Warehouses (SiKDD 2020), Edición anually, 2020, Página(s) 45-48, ISBN 978-961-264-192-4
Editor: Kataložni zapis o publikaciji (CIP) pripravili v Narodni in univerzitetni knjižnici

1. The food nutrition security cloud in Europe2. Open data in the context of FNS-Cloud and METROFOOD-RI

Autores: 1. Finglas P., Astley, S., Korousic-Seljak, B., Gibney, E., Presser, K., de la Cueva Gonzalez-Cotera, J., Fillery-Travis, A., Webb, S. and Frankte, P. on behalf of the FNS Consortium 2. Presser K., Matuszczak A., Kapela W., Zoani C., Finglas P., Astley, S., Koroušić Seljak B.
Publicado en: 5th IMEKOFOODS, Edición annually, 2020, Página(s) 27-28; 39-40, ISBN 978-80-213-3036-8
Editor: Czech University of Life Sciences Prague (CZ)
DOI: 10.5281/zenodo.4446984

The food nutrition security cloud in Europe

Autores: Finglas, P; Astley, S; Korousic-Seljak, B; Gibney, E; Presser, K; de la Cueva Gonzalez-Cotera, J.; Fillery-Travis, A; Webb, S; Frankte, P
Publicado en: 5th IMEKO Conference - Proceedings, Edición 1, 2020, Página(s) 31-32
Editor: IMEKO
DOI: 10.5281/zenodo.6961951

Teaching Open Science. What do FNS-Cloud Food Researchers Want to Know?

Autores: FLYNN; Ciolacu; Fillery-Travis; Mayor
Publicado en: 8th International Conference on Higher Education Advances (HEAd'22), Edición 1, 2022
Editor: OpenAIRE
DOI: 10.5281/zenodo.6655779

Toward improved semantic annotation of food and nutrition data

Autores: Jovanovska, Lidija; Panov, Panče
Publicado en: Proceedings of the 23rd International Multiconference Information Society - Data mining and Data Warehouses, Edición 1, 2020, Página(s) 45-49
Editor: JSI
DOI: 10.5281/zenodo.6958615

FoodChem: A food-chemical relation extraction model

Autores: Gjorgjina Cenikj; Barbara Korousic Seljak; Tome Eftimov
Publicado en: 2021 IEEE Symposium Series on Computational Intelligence, Edición 2021, 2021, Página(s) 1-8, ISSN 1803-7232
Editor: John Wiley & Sons and IEEE
DOI: 10.1109/ssci50451.2021.9660161

FoodIE: A Rule-based Named-entity Recognition Method for Food Information Extraction

Autores: Gorjan Popovski, Stefan Kochev, Barbara Seljak, Tome Eftimov
Publicado en: Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, Edición annually, 2019, Página(s) 915-922, ISBN 978-989-758-351-3
Editor: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0007686309150922

Comparing Semantic and Nutrient Value Similarities of Recipes

Autores: Gordana Ispirova, Tome Eftimov, Barbara Korousic Seljak
Publicado en: 2019 IEEE International Conference on Big Data (Big Data), Edición anually, 2019, Página(s) 5131-5139, ISBN 978-1-7281-0858-2
Editor: IEEE
DOI: 10.1109/bigdata47090.2019.9006080

Food Nutrition and Security Cloud: A case usage of NLP technologies to extract food–drug interactions from scientific and clinical texts.

Autores: Enrique Carrillo de Santa Pau
Publicado en: IBERIAN HEALTH AND FOOD LANGUAGE TECHNOLOGIES (IberHeLT), Edición 2021, 2021, Página(s) 1-19
Editor: IberHeLT2021
DOI: 10.5281/zenodo.6962455

Managing food and microbiome studies data using Fairspace, a flexible and FAIR data management platform

Autores: Grudzien E., van der Horst E., van den Bergh F., Traka M.H., Ng D., Hildebrand F., Evelo C.T., Coort S.L.M., Şener D.D., Cirillo E.
Publicado en: CEUR Workshop Proceedings, Edición 3415, 2023, Página(s) 171-172, ISSN 1613-0073
Editor: CEUR-WS

APRICOT: A humAn-comPuteR InteraCtion tool for linking foOd wasTe streams across different semantic resources

Autores: Bojan Dimoski, Riste Stojanov, Tome Eftimov, Hannah Pinchen, Maria Traka, Paul Finglas, Barbara Korousic Seljak
Publicado en: 2020 IEEE International Conference on Big Data (Big Data), Edición anually, 2020, Página(s) 3557-3562, ISBN 978-1-7281-6251-5
Editor: IEEE
DOI: 10.1109/bigdata50022.2020.9377744

Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data

Autores: Gordana Ispirova, Tome Eftimov, Barbara Korousic Seljak
Publicado en: 2020 IEEE International Conference on Big Data (Big Data), Edición annually, 2020, Página(s) 3563-3572, ISBN 978-1-7281-6251-5
Editor: IEEE
DOI: 10.1109/bigdata50022.2020.9378159

Development of a mapping and merging framework to address data fragmentation in nutritional research: FNS Cloud project

Autores: G. Bennett; LA. Bardon; C. McAteer; ER. Gibney
Publicado en: Proceedings of the Nutrition Society, Edición 81, 2022, Página(s) E95, ISSN 0029-6651
Editor: Cambridge University Press
DOI: 10.1017/s0029665122001240

Designing Apps to Support Engagement by Older Adults: A think-aloud study of the eNutri dietary-intake assessment web app

Autores: Kelly, Eve and Weech, Michelle and Fallaize, Rosalind and Zenun Franco, Rodrigo and Hwang, Faustina and Lovegrove, Julie
Publicado en: Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility, Edición 60, 2021, Página(s) 1-3, ISBN 9781450383066
Editor: Association for Computing Machinery
DOI: 10.1145/3441852.3476537

The Book of Abstracts of the 5th International Conference on Metrology in Food and Nutrition - IMEKOFOODS 5

Autores: Matyáš Krtička; Matěj Božik; Lenka Kouřimská; Pavel Klouček
Publicado en: Book of Abstracts of the 5th International Conference on Metrology in Food and Nutrition - IMEKOFOODS 5, Edición 2020, 2020, Página(s) 16-18, ISBN 978-80-213-3036-8
Editor: CZECH UNIVERSITY OF LIFE SCIENCES
DOI: 10.5281/zenodo.4035961

Using Deep Learning for Food and Beverage Image Recognition

Autores: Simon Mezgec, Barbara Korousic Seljak
Publicado en: 2019 IEEE International Conference on Big Data (Big Data), Edición annualy, 2019, Página(s) 5149-5151, ISBN 978-1-7281-0858-2
Editor: IEEE
DOI: 10.1109/bigdata47090.2019.9006181

III BioinfoCAM abstract: Detection of food-drug interactions using natural language processing techniques in the context of FNS-Cloud project

Autores: Garranzo, Marco; Laguna Lobo, Teresa; Carrillo de Santa Pau, Enrique
Publicado en: III BioinfoCAM Proceedings, Edición 1, 2022, Página(s) 1
Editor: OpenAIRE
DOI: 10.5281/zenodo.6958157

BuTTER: BidirecTional LSTM for Food Named-Entity Recognition

Autores: Gjorgjina Cenikj, Gorjan Popovski, Riste Stojanov, Barbara Korousic Seljak, Tome Eftimov
Publicado en: 2020 IEEE International Conference on Big Data (Big Data), Edición annualy, 2020, Página(s) 3550-3556, ISBN 978-1-7281-6251-5
Editor: IEEE
DOI: 10.1109/bigdata50022.2020.9378151

1. Open data in the context of FNS-Cloud and METROFOOD-RI 2. The food nutrition security cloud in Europe

Autores: 1. Presser K. 1 , Matuszczak A.2, Kapela W.2, Zoani C.3, Finglas P.4, 5, Astley, S.5, Koroušić Seljak B.6 2. Finglas P.1,2, Astley, S.2, Korousic-Seljak, B.3, Gibney, E.4, Presser, K.5, de la Cueva Gonzalez-Cotera,J.6, Fillery-Travis, A.7, Webb, S.8 and Frankte, P.9
Publicado en: 5 TH INTERNATIONAL CONFERENCE ON METROLOGY IN FOOD AND NUTRITION, Edición annually, 2020, Página(s) 31, 46, ISBN 978-80-213-3036-8
Editor: CZECH UNIVERSITY OF LIFE SCIENCES PRAGUE
DOI: 10.5281/zenodo.4772372

Development of a first-generation Food Cloud for data, tools and services related to the nutrition, health and agri-food sciences–contributions from UCD to the Food Nutrition Security Cloud (FNS-Cloud) project

Autores: LA. Bardon; G. Bennett; C. McAteer; SY. Yang; ER. Gibney
Publicado en: Proceedings of the Nutrition Society, Edición 81, 2022, Página(s) E106, ISSN 0022-3166
Editor: Cambridge University Press
DOI: 10.1017/s0029665122001355

Peer reviewed articles (40)

Branded Foods Databases as a Tool to Support Nutrition Research and Monitoring of the Food Supply: Insights From the Slovenian Composition and Labeling Information System

Autores: Igor Pravst; Igor Pravst; Igor Pravst; Maša Hribar; Maša Hribar; Katja Žmitek; Katja Žmitek; Bojan Blažica; Barbara Koroušić Seljak; Anita Kušar; Anita Kušar
Publicado en: Frontiers in Nutrition, Edición 8, 2021, Página(s) 798576, ISSN 2296-861X
Editor: Frontier Media SA
DOI: 10.3389/fnut.2021.798576

Special Issue “Innovations in the Food System: Exploring the Future of Food”

Autores: Maria Lisa Clodoveo
Publicado en: MDPI Foods, Edición 11(15), 2022, Página(s) 2183, ISSN 2304-8158
Editor: MDPI
DOI: 10.3390/foods11152183

Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation

Autores: Mežnar, Sebastian, Matej Bevec, Nada Lavrač, and Blaž Škrlj
Publicado en: Machine Learning and Knowledge Extraction, Edición 4, 2022, Página(s) 1107-1123, ISSN 2504-4990
Editor: MDPI
DOI: 10.3390/make4040056

DDeMON: Ontology-based function prediction by Deep Learning from Dynamic Multiplex Networks

Autores: Kralj, Jan; Škrlj, Blaž; Ramšak, Živa; Lavrač, Nada; Gruden, Kristina
Publicado en: arXiv: Genomics, Edición 2302.03907v1, 2023, Página(s) 1-17, ISSN 2331-8422
Editor: arXiv
DOI: 10.48550/arxiv.2302.03907

A Survey of Named-Entity Recognition Methods for Food Information Extraction

Autores: Gorjan Popovski, Barbara Korousic Seljak, Tome Eftimov
Publicado en: IEEE Access, Edición 8, 2020, Página(s) 31586-31594, ISSN 2169-3536
Editor: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.2973502

Usability of a web-based food frequency questionnaire app (eNutri) and a 24-hour dietary recall system (Intake24) in adults aged 65 years

Autores: Kelly, E., Weech, M., Fallaize, R., Franco, R., Hwang, F., & Lovegrove, J.
Publicado en: Proceedings of the Nutrition Society, Edición 81(OCE5), 2022, Página(s) E213, ISSN 0029-6651
Editor: CABI Publishing
DOI: 10.1017/s0029665122002464

Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets

Autores: Ispirova, Gordana; Eftimov, Tome; Seljak, Barbara Koroušić
Publicado en: ArXiv: Computation and Language, Edición 2302.01005, 2023, Página(s) 1-10, ISSN 2331-8422
Editor: ArXiv
DOI: 10.48550/arxiv.2302.01005

In-depth insights into Alzheimer’s disease by using explainable machine learning approach

Autores: Bojan Bogdanovic; Tome Eftimov; Monika Simjanoska
Publicado en: Scientific Reports, Edición 12, 2021, Página(s) 6508, ISSN 2045-2322
Editor: Nature Publishing Group
DOI: 10.1038/s41598-022-10202-2

FoodEx2vec: New foods’ representation for advanced food data analysis

Autores: Tome Eftimov, Gorjan Popovski, Eva Valenčič, Barbara Koroušić Seljak
Publicado en: Food and Chemical Toxicology, Edición 138, 2020, Página(s) 111169, ISSN 0278-6915
Editor: Elsevier BV
DOI: 10.1016/j.fct.2020.111169

COVID-19 pandemic changes the food consumption patterns

Autores: Tome Eftimov, Gorjan Popovski, Matej Petković, Barbara Koroušić Seljak, Dragi Kocev
Publicado en: Trends in Food Science & Technology, Edición 104, 2020, Página(s) 268-272, ISSN 0924-2244
Editor: Elsevier BV
DOI: 10.1016/j.tifs.2020.08.017

P-NUT: Predicting NUTrient Content from Short Text Descriptions

Autores: Gordana Ispirova, Tome Eftimov, Barbara Koroušić Seljak
Publicado en: Mathematics, Edición 8/10, 2020, Página(s) 1811, ISSN 2227-7390
Editor: MDPI
DOI: 10.3390/math8101811

Validation of a developed online 24-h dietary recall tool (Foodbook24) in a Chinese population in Ireland: preliminary results from a comparison study

Autores: S. Yang; G. Bennett; L.A. Bardon; E.L. Feeney; E.R. Gibney
Publicado en: Proceedings of the Nutrition Society, Edición 81, 2022, Página(s) E92, ISSN 0022-3166
Editor: American Society for Nutritional Sciences
DOI: 10.1017/s0029665122001215

FooDis

Autores: Cenikj, Gjorgjina; Eftimov, Tome; Koroušić-Seljak, Barbara
Publicado en: Artificial Intelligence in Medicine, Edición 142, 2023, Página(s) 102586, ISSN 1873-2860
Editor: Elsevier
DOI: 10.1016/j.artmed.2023.102586

Ten simple rules for creating reusable pathway models for computational analysis and visualization.

Autores: Kristina Hanspers; Martina Kutmon; Susan L. Coort; Daniela Digles; Lauren J. Dupuis; Friederike Ehrhart; Finterly Hu; Elisson Nogueira Lopes; Marvin Martens; Nhung Pham; Woosub Shin; Denise Slenter; Andra Waagmeester; Egon Willighagen; Laurent A. Winckers; Chris T. Evelo; Alexander R. Pico
Publicado en: PLoS Computational Biology, Edición 17(8), 2021, Página(s) e1009226, ISSN 1553-7358
Editor: PLOS
DOI: 10.1371/journal.pcbi.1009226

Introducing ground cover management in pesticide emission modeling

Autores: Céline Gentil-Sergent; Claudine Basset-Mens; Christel Renaud-Gentié; Charles Mottes; Carlos Manuel Moraleda Melero; Arthur Launay; Peter Fantke
Publicado en: Integrated Environmental Assessment and Management, Edición 18(1), 2020, Página(s) 274–288, ISSN 1551-3793
Editor: John Wiley & Sons
DOI: 10.1002/ieam.4482

FoodBase corpus: a new resource of annotated food entities

Autores: Gorjan Popovski, Barbara Koroušić Seljak, Tome Eftimov
Publicado en: Database, Edición 2019, 2019, Página(s) 1-13, ISSN 1758-0463
Editor: Oxford University Press
DOI: 10.1093/database/baz121

Optimising an FFQ Using a Machine Learning Pipeline to teach an Efficient Nutrient Intake Predictive Model.

Autores: Nina Reščič; Tome Eftimov; Barbara Koroušić Seljak; Mitja Luštrek
Publicado en: MDPI Nutrients, Edición 12(12), 2020, Página(s) 3789, ISSN 2072-6643
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu12123789

A Search Engine Concept to Improve Food Traceability and Transparency: Preliminary Results

Autores: Palocci, Caterina, Karl Presser, Agnieszka Kabza, Emilia Pucci, and Claudia Zoani
Publicado en: Foods, Edición 7, 2022, Página(s) 989, ISSN 2304-8158
Editor: MDPI
DOI: 10.3390/foods11070989

Improved plant bioconcentration modeling of pesticides: The role of periderm dynamics

Autores: Shenglan Xiao; Zijian Li; Peter Fantke
Publicado en: Pest Management Science, Edición 77(11), 2021, Página(s) 5096-5108, ISSN 1526-4998
Editor: John Wiley & Sons
DOI: 10.1002/ps.6549

Link Analysis meets Ontologies: Are Embeddings the Answer?

Autores: Me��nar, Sebastian; Bevec, Matej; Lavra��, Nada; ��krlj, Bla��
Publicado en: arXiv, Edición https://arxiv.org/abs/2111.11710v1, 2021, Página(s) https://arxiv.org/abs/2111.11710v1, ISSN 2331-8422
Editor: Cornell University
DOI: 10.48550/arxiv.2111.11710

Applications of Wild Isolates of Saccharomyces Yeast for Industrial Fermentation: The Gut of Social Insects as Niche for Yeast Hybrids’ Production

Autores: Monica Di Paola, Niccolò Meriggi, Duccio Cavalieri
Publicado en: Frontiers in Microbiology, Edición 11, 2020, Página(s) 1-8, ISSN 1664-302X
Editor: Frontiers Media
DOI: 10.3389/fmicb.2020.578425

Deep Neural Networks for Image-Based Dietary Assessment

Autores: Simon Mezgec, Barbara Koroušić Seljak
Publicado en: Journal of Visualized Experiments, Edición 169, 2021, ISSN 1940-087X
Editor: MYJoVE Corporation
DOI: 10.3791/61906

A Comparison of Dietary Patterns and Factors Influencing Food Choice among Ethnic Groups Living in One Locality: A Systematic Review

Autores: Eileen Gibney; Grace Bennett; Laura Bardon
Publicado en: Nutrients, Edición 14(5), 2022, Página(s) 941, ISSN 2072-6643
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu14050941

Domain Heuristic Fusion of Multi-Word Embeddings for Nutrient Value Prediction

Autores: Gordana Ispirova; Tome Eftimov; Barbara Koroušić Seljak
Publicado en: Mathematics, Edición 9(16), 2021, Página(s) 1941, ISSN 2227-7390
Editor: MDPI AG
DOI: 10.3390/math9161941

Diets, nutrients, genes and the microbiome: recent advances in personalised nutrition

Autores: Nathan V. Matusheski, Aoife Caffrey, Lars Christensen, Simon Mezgec, Shelini Surendran, Mads F. Hjorth, Helene McNulty, Kristina Pentieva, Henrik M. Roager, Barbara Koroušić Seljak, Karani Santhanakrishnan Vimaleswaran, Marcus Remmers, Szabolcs Péter
Publicado en: British Journal of Nutrition, Edición twice monthly, 2021, Página(s) 1-9, ISSN 0007-1145
Editor: CABI Publishing
DOI: 10.1017/s0007114521000374

Trends in the Use of Low and No-Calorie Sweeteners in Non-Alcoholic Beverages in Slovenia

Autores: Edvina Hafner, Maša Hribar, Hristo Hristov, Anita Kušar, Katja Žmitek, Mark Roe, Igor Pravst
Publicado en: Foods, Edición 10/2, 2021, Página(s) 387, ISSN 2304-8158
Editor: MDPI
DOI: 10.3390/foods10020387

Cross-linking reactions in food proteins and proteomic approaches for their detection

Autores: Giovanni Renzone, Simona Arena, Andrea Scaloni
Publicado en: Mass Spectrometry Reviews, Edición 10982787, 2021, Página(s) 1-38, ISSN 1098-2787
Editor: Wiley
DOI: 10.1002/mas.21717

The Sharp Rise in the Use of Low- and No-Calorie Sweeteners in Non-Alcoholic Beverages in Slovenia: An Update Based on 2020 Data

Autores: Edvina Hafner; Edvina Hafner; Igor Pravst; Igor Pravst; Igor Pravst
Publicado en: Frontiers in Nutrition, Edición 8, 2021, Página(s) 778178, ISSN 2296-861X
Editor: Frontier Media SA
DOI: 10.3389/fnut.2021.778178

Verifying the Use of Food Labeling Data for Compiling Branded Food Databases: A Case Study of Sugars in Beverages

Autores: Edvina Hafner; Edvina Hafner; Živa Lavriša; Maša Hribar; Sanja Krušič; Anita Kušar; Katja Žmitek; Katja Žmitek; Mihaela Skrt; Nataša Poklar Ulrih; Igor Pravst; Igor Pravst; Igor Pravst
Publicado en: Frontiers in Nutrition, Edición 9, 2022, Página(s) 794468, ISSN 2296-861X
Editor: Frontiers Media S.A.
DOI: 10.3389/fnut.2022.794468

Co-designing personalised nutrition advice with adults aged 65+ years: a user study of the eNutri web app

Autores: Kelly, E., Weech, M., Fallaize, R., Franco, R., Hwang, F., & Lovegrove, J.
Publicado en: Proceedings of the Nutrition Society, Edición 80(OCE5), 2021, Página(s) E187, ISSN 0029-6651
Editor: CABI Publishing
DOI: 10.1017/s0029665121003153

Use of Food Additive Titanium Dioxide (E171) before the Introduction of Regulatory Restrictions Due to Concern for Genotoxicity

Autores: Urška Blaznik; Sanja Krušič; Maša Hribar; Anita Kušar; Katja Žmitek; Igor Pravst
Publicado en: Foods, Edición 10(8), 2021, Página(s) 1910, ISSN 2304-8158
Editor: MDPI
DOI: 10.3390/foods10081910

Workflow for building interoperable food and nutrition security (FNS) data platforms

Autores: Emara, Yasmine; Koroušić Seljak, Barbara; Gibney, Eileen R.; Popovski, Gorjan; Pravst, Igor; Fantke, Peter
Publicado en: Trends in Food Science & Technology, Edición 1, 2022, Página(s) 310-321, ISSN 0924-2244
Editor: Elsevier BV
DOI: 10.1016/j.tifs.2022.03.022

Improving Pesticide Uptake Modeling into Potatoes: Considering Tuber Growth Dynamics

Autores: Shenglan Xiao, Yishu Gong, Zijian Li, Peter Fantke
Publicado en: Journal of Agricultural and Food Chemistry, Edición 69/12, 2021, Página(s) 3607-3616, ISSN 0021-8561
Editor: American Chemical Society
DOI: 10.1021/acs.jafc.1c00151

Evaluation of the Ability of Nutri-Score to Discriminate the Nutritional Quality of Prepacked Foods Using a Sale-Weighting Approach

Autores: Edvina Hafner; Igor Pravst
Publicado en: Foods, Edición 10(8), 2021, Página(s) 1689, ISSN 2304-8158
Editor: MDPI
DOI: 10.3390/foods10081689

Use of Branded Food Composition Databases for the Exploitation of Food Fortification Practices: A Case Study on Vitamin D in the Slovenian Food Supply

Autores: Sanja Krušič, Maša Hribar, Edvina Hafner, Katja Žmitek, Igor Pravst
Publicado en: Frontiers in Nutrition, Edición 8, 2021, Página(s) 775163, ISSN 2296-861X
Editor: Frontiers Media S.A.
DOI: 10.3389/fnut.2021.775163

In-depth Insights into Alzheimer's Disease by using Explainable Machine Learning Approach - Existing Hypothesis Confronted

Autores: Bojan Bogdanovic; Tome Eftimov; Monika Simjanoska
Publicado en: Scientific Reports, Edición 12, 2022, Página(s) 6508, ISSN 1476-4687
Editor: Macmillan Ltd
DOI: 10.21203/rs.3.rs-447958/v1

Semantics of Dairy Fermented Foods: A Microbiologist’s Perspective

Autores: VITALI, Francesco, ZINNO, Paola, SCHIFANO, Emily, GORI, Agnese, COSTA, Ana, DE FILIPPO, Carlota, KOROUŠIĆ-SELJAK, Barbara, PANOV, Panče, DEVIRGILIIS, Chiara, CAVALIERI, Duccio
Publicado en: MDPI Foods, Edición 23048158, 2022, Página(s) 19-39, ISSN 2304-8158
Editor: MDPI
DOI: 10.3390/foods11131939

Comparison of Nutri-Score and Health Star Rating Nutrient Profiling Models Using Large Branded Foods Composition Database and Sales Data

Autores: Edvina Hafner; Igor Pravst
Publicado en: MDPI Environmental Research and Public Health, Edición 20(5), 2022, Página(s) 3980, ISSN 1660-4601
Editor: MDPI
DOI: 10.3390/ijerph20053980

CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources

Autores: Gjorgjina Cenikj; Eva Valenčič; Gordana Ispirova; Matevž Ogrinc; Riste Stojanov; Peter Korošec; Ermanno Cavalli; Barbara Koroušić Seljak; Tome Eftimov
Publicado en: DATABASE: The Journal of Biological Database and Curation, Edición 2022, 2022, Página(s) 1-12, ISSN 1758-0463
Editor: Oxford University Press
DOI: 10.1093/database/baac107

Multimodal AutoML via Representation Evolution

Autores: Blaž Škrlj; Matej Bevec; Nada Lavrač
Publicado en: Machine Learning and Knowledge Extraction, Edición 5(1), 2023, Página(s) 1-13, ISSN 2078-2489
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/make5010001

Thesis and dissertations (1)

Study of the metabolic interaction between drugs and foods / biocomponents

Autores: Marco Garranzo
Publicado en: 2021
Editor: IMDEA - Universidad Autónoma de Madrid

Other (1)

Poster - Data sharing to improve food supply chain management

Autores: Palocci C.1, Zoani C.2
Publicado en: 5 TH INTERNATIONAL CONFERENCE ON METROLOGY IN FOOD AND NUTRITION, Edición annualy, 2020
Editor: CZECH UNIVERSITY OF LIFE SCIENCES PRAGUE