Food Nutrition Security Cloud

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

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.

D7.1 eLearning

e-learning content and inventory of resources

Pubblicazioni

Food Data Normalization Using Lexical and Semantic Similarities Heuristics

Autori: Gordana Ispirova, Gorjan Popovski, Eva Valenčič, Nina Hadzi-Kotarova, Tome Eftimov, Barbara Koroušić Seljak
Pubblicato in: Biomedical Engineering Systems and Technologies - 13th International Joint Conference, BIOSTEC 2020, Valletta, Malta, February 24–26, 2020, Revised Selected Papers, Numero 1400, 2021, Pagina/e 468-485, ISBN 978-3-030-72378-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-72379-8_23

FoodOntoMapV2: Food Concepts Normalization Across Food Ontologies

Autori: Gorjan Popovski, Barbara Koroušić Seljak, Tome Eftimov
Pubblicato in: Knowledge Discovery, Knowledge Engineering and Knowledge Management - 11th International Joint Conference, IC3K 2019, Vienna, Austria, September 17-19, 2019, Revised Selected Papers, Numero 1297, 2020, Pagina/e 413-426, ISBN 978-3-030-66195-3
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-66196-0_19

FoodViz: Visualization of Food Entities Linked Across Different Standards

Autori: Riste Stojanov, Gorjan Popovski, Nasi Jofce, Dimitar Trajanov, Barbara Koroušić Seljak, Tome Eftimov
Pubblicato in: Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part II, Numero 12566, 2020, Pagina/e 28-38, ISBN 978-3-030-64579-3
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-64580-9_4

Predefined domain specific embeddings of food concepts and recipes

Autori: Ispirova, Gordana; Eftimov, Tome; Koroušić-Seljak, Barbara
Pubblicato in: 2022 IEEE International Conference on Big Data, Numero 1, 2022, Pagina/e 4074-4083, ISBN 978-1-6654-8045-1
Editore: IEEE
DOI: 10.1109/bigdata55660.2022.10020698

SciFoodNER

Autori: Cenikj, Gjorgjina; Petelin, Gašper; Koroušić-Seljak, Barbara; Eftimov, Tome
Pubblicato in: https://dirros.openscience.si/Dokument.php?id=22530&lang=slv, Numero Annually, 2022, Pagina/e 4065-4073, ISBN 9781119701859
Editore: IEEE
DOI: 10.1109/bigdata55660.2022.10020459

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

Autori: Gorjan Popovski, Gordana Ispirova, Nina Hadzi-Kotarova, Eva Valenčič, Tome Eftimov, Barbara Seljak
Pubblicato in: Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies, Numero anually, 2020, Pagina/e 208-216, ISBN 978-989-758-398-8
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0008990602080216

Exploring a standardized language for describing foods using embedding techniques

Autori: Gorjan Popovski, Bibek Paudel, Tome Eftimov, Barbara Korousic Seljak
Pubblicato in: 2019 IEEE International Conference on Big Data (Big Data), Numero anually, 2019, Pagina/e 5172-5176, ISBN 978-1-7281-0858-2
Editore: IEEE
DOI: 10.1109/bigdata47090.2019.9005970

Toward improved semantic annotation of food and nutrition data

Autori: Jovanovska, L., Panov, P.
Pubblicato in: Proceedings of the 23rd International Multiconference Information Society - Data mining and Data Warehouses (SiKDD 2020), Numero anually, 2020, Pagina/e 45-48, ISBN 978-961-264-192-4
Editore: 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

Autori: 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.
Pubblicato in: 5th IMEKOFOODS, Numero annually, 2020, Pagina/e 27-28; 39-40, ISBN 978-80-213-3036-8
Editore: Czech University of Life Sciences Prague (CZ)
DOI: 10.5281/zenodo.4446984

The food nutrition security cloud in Europe

Autori: Finglas, P; Astley, S; Korousic-Seljak, B; Gibney, E; Presser, K; de la Cueva Gonzalez-Cotera, J.; Fillery-Travis, A; Webb, S; Frankte, P
Pubblicato in: 5th IMEKO Conference - Proceedings, Numero 1, 2020, Pagina/e 31-32
Editore: IMEKO
DOI: 10.5281/zenodo.6961951

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

Autori: FLYNN; Ciolacu; Fillery-Travis; Mayor
Pubblicato in: 8th International Conference on Higher Education Advances (HEAd'22), Numero 1, 2022
Editore: OpenAIRE
DOI: 10.5281/zenodo.6655779

Toward improved semantic annotation of food and nutrition data

Autori: Jovanovska, Lidija; Panov, Panče
Pubblicato in: Proceedings of the 23rd International Multiconference Information Society - Data mining and Data Warehouses, Numero 1, 2020, Pagina/e 45-49
Editore: JSI
DOI: 10.5281/zenodo.6958615

FoodChem: A food-chemical relation extraction model

Autori: Gjorgjina Cenikj; Barbara Korousic Seljak; Tome Eftimov
Pubblicato in: 2021 IEEE Symposium Series on Computational Intelligence, Numero 2021, 2021, Pagina/e 1-8, ISSN 1803-7232
Editore: John Wiley & Sons and IEEE
DOI: 10.1109/ssci50451.2021.9660161

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

Autori: Gorjan Popovski, Stefan Kochev, Barbara Seljak, Tome Eftimov
Pubblicato in: Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, Numero annually, 2019, Pagina/e 915-922, ISBN 978-989-758-351-3
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0007686309150922

Comparing Semantic and Nutrient Value Similarities of Recipes

Autori: Gordana Ispirova, Tome Eftimov, Barbara Korousic Seljak
Pubblicato in: 2019 IEEE International Conference on Big Data (Big Data), Numero anually, 2019, Pagina/e 5131-5139, ISBN 978-1-7281-0858-2
Editore: 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.

Autori: Enrique Carrillo de Santa Pau
Pubblicato in: IBERIAN HEALTH AND FOOD LANGUAGE TECHNOLOGIES (IberHeLT), Numero 2021, 2021, Pagina/e 1-19
Editore: IberHeLT2021
DOI: 10.5281/zenodo.6962455

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

Autori: 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.
Pubblicato in: CEUR Workshop Proceedings, Numero 3415, 2023, Pagina/e 171-172, ISSN 1613-0073
Editore: CEUR-WS

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

Autori: Bojan Dimoski, Riste Stojanov, Tome Eftimov, Hannah Pinchen, Maria Traka, Paul Finglas, Barbara Korousic Seljak
Pubblicato in: 2020 IEEE International Conference on Big Data (Big Data), Numero anually, 2020, Pagina/e 3557-3562, ISBN 978-1-7281-6251-5
Editore: IEEE
DOI: 10.1109/bigdata50022.2020.9377744

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

Autori: Gordana Ispirova, Tome Eftimov, Barbara Korousic Seljak
Pubblicato in: 2020 IEEE International Conference on Big Data (Big Data), Numero annually, 2020, Pagina/e 3563-3572, ISBN 978-1-7281-6251-5
Editore: IEEE
DOI: 10.1109/bigdata50022.2020.9378159

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

Autori: G. Bennett; LA. Bardon; C. McAteer; ER. Gibney
Pubblicato in: Proceedings of the Nutrition Society, Numero 81, 2022, Pagina/e E95, ISSN 0029-6651
Editore: 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

Autori: Kelly, Eve and Weech, Michelle and Fallaize, Rosalind and Zenun Franco, Rodrigo and Hwang, Faustina and Lovegrove, Julie
Pubblicato in: Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility, Numero 60, 2021, Pagina/e 1-3, ISBN 9781450383066
Editore: 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

Autori: Matyáš Krtička; Matěj Božik; Lenka Kouřimská; Pavel Klouček
Pubblicato in: Book of Abstracts of the 5th International Conference on Metrology in Food and Nutrition - IMEKOFOODS 5, Numero 2020, 2020, Pagina/e 16-18, ISBN 978-80-213-3036-8
Editore: CZECH UNIVERSITY OF LIFE SCIENCES
DOI: 10.5281/zenodo.4035961

Using Deep Learning for Food and Beverage Image Recognition

Autori: Simon Mezgec, Barbara Korousic Seljak
Pubblicato in: 2019 IEEE International Conference on Big Data (Big Data), Numero annualy, 2019, Pagina/e 5149-5151, ISBN 978-1-7281-0858-2
Editore: 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

Autori: Garranzo, Marco; Laguna Lobo, Teresa; Carrillo de Santa Pau, Enrique
Pubblicato in: III BioinfoCAM Proceedings, Numero 1, 2022, Pagina/e 1
Editore: OpenAIRE
DOI: 10.5281/zenodo.6958157

BuTTER: BidirecTional LSTM for Food Named-Entity Recognition

Autori: Gjorgjina Cenikj, Gorjan Popovski, Riste Stojanov, Barbara Korousic Seljak, Tome Eftimov
Pubblicato in: 2020 IEEE International Conference on Big Data (Big Data), Numero annualy, 2020, Pagina/e 3550-3556, ISBN 978-1-7281-6251-5
Editore: 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

Autori: 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
Pubblicato in: 5 TH INTERNATIONAL CONFERENCE ON METROLOGY IN FOOD AND NUTRITION, Numero annually, 2020, Pagina/e 31, 46, ISBN 978-80-213-3036-8
Editore: 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

Autori: LA. Bardon; G. Bennett; C. McAteer; SY. Yang; ER. Gibney
Pubblicato in: Proceedings of the Nutrition Society, Numero 81, 2022, Pagina/e E106, ISSN 0022-3166
Editore: Cambridge University Press
DOI: 10.1017/s0029665122001355

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

Autori: Igor Pravst; Igor Pravst; Igor Pravst; Maša Hribar; Maša Hribar; Katja Žmitek; Katja Žmitek; Bojan Blažica; Barbara Koroušić Seljak; Anita Kušar; Anita Kušar
Pubblicato in: Frontiers in Nutrition, Numero 8, 2021, Pagina/e 798576, ISSN 2296-861X
Editore: Frontier Media SA
DOI: 10.3389/fnut.2021.798576

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

Autori: Maria Lisa Clodoveo
Pubblicato in: MDPI Foods, Numero 11(15), 2022, Pagina/e 2183, ISSN 2304-8158
Editore: MDPI
DOI: 10.3390/foods11152183

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

Autori: Mežnar, Sebastian, Matej Bevec, Nada Lavrač, and Blaž Škrlj
Pubblicato in: Machine Learning and Knowledge Extraction, Numero 4, 2022, Pagina/e 1107-1123, ISSN 2504-4990
Editore: MDPI
DOI: 10.3390/make4040056

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

Autori: Kralj, Jan; Škrlj, Blaž; Ramšak, Živa; Lavrač, Nada; Gruden, Kristina
Pubblicato in: arXiv: Genomics, Numero 2302.03907v1, 2023, Pagina/e 1-17, ISSN 2331-8422
Editore: arXiv
DOI: 10.48550/arxiv.2302.03907

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

Autori: Gorjan Popovski, Barbara Korousic Seljak, Tome Eftimov
Pubblicato in: IEEE Access, Numero 8, 2020, Pagina/e 31586-31594, ISSN 2169-3536
Editore: 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

Autori: Kelly, E., Weech, M., Fallaize, R., Franco, R., Hwang, F., & Lovegrove, J.
Pubblicato in: Proceedings of the Nutrition Society, Numero 81(OCE5), 2022, Pagina/e E213, ISSN 0029-6651
Editore: CABI Publishing
DOI: 10.1017/s0029665122002464

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

Autori: Ispirova, Gordana; Eftimov, Tome; Seljak, Barbara Koroušić
Pubblicato in: ArXiv: Computation and Language, Numero 2302.01005, 2023, Pagina/e 1-10, ISSN 2331-8422
Editore: ArXiv
DOI: 10.48550/arxiv.2302.01005

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

Autori: Bojan Bogdanovic; Tome Eftimov; Monika Simjanoska
Pubblicato in: Scientific Reports, Numero 12, 2021, Pagina/e 6508, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-022-10202-2

FoodEx2vec: New foods’ representation for advanced food data analysis

Autori: Tome Eftimov, Gorjan Popovski, Eva Valenčič, Barbara Koroušić Seljak
Pubblicato in: Food and Chemical Toxicology, Numero 138, 2020, Pagina/e 111169, ISSN 0278-6915
Editore: Elsevier BV
DOI: 10.1016/j.fct.2020.111169

COVID-19 pandemic changes the food consumption patterns

Autori: Tome Eftimov, Gorjan Popovski, Matej Petković, Barbara Koroušić Seljak, Dragi Kocev
Pubblicato in: Trends in Food Science & Technology, Numero 104, 2020, Pagina/e 268-272, ISSN 0924-2244
Editore: Elsevier BV
DOI: 10.1016/j.tifs.2020.08.017

P-NUT: Predicting NUTrient Content from Short Text Descriptions

Autori: Gordana Ispirova, Tome Eftimov, Barbara Koroušić Seljak
Pubblicato in: Mathematics, Numero 8/10, 2020, Pagina/e 1811, ISSN 2227-7390
Editore: 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

Autori: S. Yang; G. Bennett; L.A. Bardon; E.L. Feeney; E.R. Gibney
Pubblicato in: Proceedings of the Nutrition Society, Numero 81, 2022, Pagina/e E92, ISSN 0022-3166
Editore: American Society for Nutritional Sciences
DOI: 10.1017/s0029665122001215

FooDis

Autori: Cenikj, Gjorgjina; Eftimov, Tome; Koroušić-Seljak, Barbara
Pubblicato in: Artificial Intelligence in Medicine, Numero 142, 2023, Pagina/e 102586, ISSN 1873-2860
Editore: Elsevier
DOI: 10.1016/j.artmed.2023.102586

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

Autori: 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
Pubblicato in: PLoS Computational Biology, Numero 17(8), 2021, Pagina/e e1009226, ISSN 1553-7358
Editore: PLOS
DOI: 10.1371/journal.pcbi.1009226

Introducing ground cover management in pesticide emission modeling

Autori: Céline Gentil-Sergent; Claudine Basset-Mens; Christel Renaud-Gentié; Charles Mottes; Carlos Manuel Moraleda Melero; Arthur Launay; Peter Fantke
Pubblicato in: Integrated Environmental Assessment and Management, Numero 18(1), 2020, Pagina/e 274–288, ISSN 1551-3793
Editore: John Wiley & Sons
DOI: 10.1002/ieam.4482

FoodBase corpus: a new resource of annotated food entities

Autori: Gorjan Popovski, Barbara Koroušić Seljak, Tome Eftimov
Pubblicato in: Database, Numero 2019, 2019, Pagina/e 1-13, ISSN 1758-0463
Editore: Oxford University Press
DOI: 10.1093/database/baz121

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

Autori: Nina Reščič; Tome Eftimov; Barbara Koroušić Seljak; Mitja Luštrek
Pubblicato in: MDPI Nutrients, Numero 12(12), 2020, Pagina/e 3789, ISSN 2072-6643
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu12123789

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

Autori: Palocci, Caterina, Karl Presser, Agnieszka Kabza, Emilia Pucci, and Claudia Zoani
Pubblicato in: Foods, Numero 7, 2022, Pagina/e 989, ISSN 2304-8158
Editore: MDPI
DOI: 10.3390/foods11070989

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

Autori: Shenglan Xiao; Zijian Li; Peter Fantke
Pubblicato in: Pest Management Science, Numero 77(11), 2021, Pagina/e 5096-5108, ISSN 1526-4998
Editore: John Wiley & Sons
DOI: 10.1002/ps.6549

Link Analysis meets Ontologies: Are Embeddings the Answer?

Autori: Me��nar, Sebastian; Bevec, Matej; Lavra��, Nada; ��krlj, Bla��
Pubblicato in: arXiv, Numero https://arxiv.org/abs/2111.11710v1, 2021, Pagina/e https://arxiv.org/abs/2111.11710v1, ISSN 2331-8422
Editore: 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

Autori: Monica Di Paola, Niccolò Meriggi, Duccio Cavalieri
Pubblicato in: Frontiers in Microbiology, Numero 11, 2020, Pagina/e 1-8, ISSN 1664-302X
Editore: Frontiers Media
DOI: 10.3389/fmicb.2020.578425

Deep Neural Networks for Image-Based Dietary Assessment

Autori: Simon Mezgec, Barbara Koroušić Seljak
Pubblicato in: Journal of Visualized Experiments, Numero 169, 2021, ISSN 1940-087X
Editore: 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

Autori: Eileen Gibney; Grace Bennett; Laura Bardon
Pubblicato in: Nutrients, Numero 14(5), 2022, Pagina/e 941, ISSN 2072-6643
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu14050941

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

Autori: Gordana Ispirova; Tome Eftimov; Barbara Koroušić Seljak
Pubblicato in: Mathematics, Numero 9(16), 2021, Pagina/e 1941, ISSN 2227-7390
Editore: MDPI AG
DOI: 10.3390/math9161941

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

Autori: 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
Pubblicato in: British Journal of Nutrition, Numero twice monthly, 2021, Pagina/e 1-9, ISSN 0007-1145
Editore: CABI Publishing
DOI: 10.1017/s0007114521000374

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

Autori: Edvina Hafner, Maša Hribar, Hristo Hristov, Anita Kušar, Katja Žmitek, Mark Roe, Igor Pravst
Pubblicato in: Foods, Numero 10/2, 2021, Pagina/e 387, ISSN 2304-8158
Editore: MDPI
DOI: 10.3390/foods10020387

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

Autori: Giovanni Renzone, Simona Arena, Andrea Scaloni
Pubblicato in: Mass Spectrometry Reviews, Numero 10982787, 2021, Pagina/e 1-38, ISSN 1098-2787
Editore: 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

Autori: Edvina Hafner; Edvina Hafner; Igor Pravst; Igor Pravst; Igor Pravst
Pubblicato in: Frontiers in Nutrition, Numero 8, 2021, Pagina/e 778178, ISSN 2296-861X
Editore: 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

Autori: 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
Pubblicato in: Frontiers in Nutrition, Numero 9, 2022, Pagina/e 794468, ISSN 2296-861X
Editore: 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

Autori: Kelly, E., Weech, M., Fallaize, R., Franco, R., Hwang, F., & Lovegrove, J.
Pubblicato in: Proceedings of the Nutrition Society, Numero 80(OCE5), 2021, Pagina/e E187, ISSN 0029-6651
Editore: CABI Publishing
DOI: 10.1017/s0029665121003153

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

Autori: Urška Blaznik; Sanja Krušič; Maša Hribar; Anita Kušar; Katja Žmitek; Igor Pravst
Pubblicato in: Foods, Numero 10(8), 2021, Pagina/e 1910, ISSN 2304-8158
Editore: MDPI
DOI: 10.3390/foods10081910

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

Autori: Emara, Yasmine; Koroušić Seljak, Barbara; Gibney, Eileen R.; Popovski, Gorjan; Pravst, Igor; Fantke, Peter
Pubblicato in: Trends in Food Science & Technology, Numero 1, 2022, Pagina/e 310-321, ISSN 0924-2244
Editore: Elsevier BV
DOI: 10.1016/j.tifs.2022.03.022

Improving Pesticide Uptake Modeling into Potatoes: Considering Tuber Growth Dynamics

Autori: Shenglan Xiao, Yishu Gong, Zijian Li, Peter Fantke
Pubblicato in: Journal of Agricultural and Food Chemistry, Numero 69/12, 2021, Pagina/e 3607-3616, ISSN 0021-8561
Editore: 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

Autori: Edvina Hafner; Igor Pravst
Pubblicato in: Foods, Numero 10(8), 2021, Pagina/e 1689, ISSN 2304-8158
Editore: 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

Autori: Sanja Krušič, Maša Hribar, Edvina Hafner, Katja Žmitek, Igor Pravst
Pubblicato in: Frontiers in Nutrition, Numero 8, 2021, Pagina/e 775163, ISSN 2296-861X
Editore: 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

Autori: Bojan Bogdanovic; Tome Eftimov; Monika Simjanoska
Pubblicato in: Scientific Reports, Numero 12, 2022, Pagina/e 6508, ISSN 1476-4687
Editore: Macmillan Ltd
DOI: 10.21203/rs.3.rs-447958/v1

Semantics of Dairy Fermented Foods: A Microbiologist’s Perspective

Autori: VITALI, Francesco, ZINNO, Paola, SCHIFANO, Emily, GORI, Agnese, COSTA, Ana, DE FILIPPO, Carlota, KOROUŠIĆ-SELJAK, Barbara, PANOV, Panče, DEVIRGILIIS, Chiara, CAVALIERI, Duccio
Pubblicato in: MDPI Foods, Numero 23048158, 2022, Pagina/e 19-39, ISSN 2304-8158
Editore: 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

Autori: Edvina Hafner; Igor Pravst
Pubblicato in: MDPI Environmental Research and Public Health, Numero 20(5), 2022, Pagina/e 3980, ISSN 1660-4601
Editore: MDPI
DOI: 10.3390/ijerph20053980

CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources

Autori: Gjorgjina Cenikj; Eva Valenčič; Gordana Ispirova; Matevž Ogrinc; Riste Stojanov; Peter Korošec; Ermanno Cavalli; Barbara Koroušić Seljak; Tome Eftimov
Pubblicato in: DATABASE: The Journal of Biological Database and Curation, Numero 2022, 2022, Pagina/e 1-12, ISSN 1758-0463
Editore: Oxford University Press
DOI: 10.1093/database/baac107

Multimodal AutoML via Representation Evolution

Autori: Blaž Škrlj; Matej Bevec; Nada Lavrač
Pubblicato in: Machine Learning and Knowledge Extraction, Numero 5(1), 2023, Pagina/e 1-13, ISSN 2078-2489
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/make5010001

EPIGENOMIC VARIABILITY AND TRANSCRIPTOMICS AS A NOVEL MULTIOMIC COMPLEMENTARY APPROACH FOR PERSONALIZED NUTRITION IN COLORECTAL CANCER PATIENTS

Autori: Teresa Laguna; Oscar Piette-Gómez; Marco Garranzo; Marta Gómez de Cedrón; Ana Ramírez de Molina; Enrique Carrillo de Santa Pau
Pubblicato in: European Conference on Computational Biology & Intelligent Systems for Molecular Biology, 2023
Editore: European Conference on Computational Biology & Intelligent Systems for Molecular Biology
DOI: 10.1101/2023.07.19.549686

Poster - Data sharing to improve food supply chain management

Autori: Palocci C.1, Zoani C.2
Pubblicato in: 5 TH INTERNATIONAL CONFERENCE ON METROLOGY IN FOOD AND NUTRITION, Numero annualy, 2020
Editore: CZECH UNIVERSITY OF LIFE SCIENCES PRAGUE

Study of the metabolic interaction between drugs and foods / biocomponents

Autori: Marco Garranzo
Pubblicato in: 2021
Editore: IMDEA - Universidad Autónoma de Madrid

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