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Large Language Models analysis for automatic FoodEx2 codification (Project)
The aim of the project is to explore Large Language Models (LLMs) for the codification of foods in the FoodEx2 system using textual descriptions. This will be based on experience feedback from existing ML tools - in particular SCA - used by EFSA and Member States for FoodEx2 codification (or classification of foods in other relevant nomenclatures) and improved for model training and testing...
Funding period: 2024 - 2027
Relevancy: 100%
Enterobacterales as hygiene indicators in meat production (Project)
The slaughtering and cutting of animals can lead to damage to the intestinal walls and thus to contamination of meat and infrastructure (equipment and facilities) with intestinal bacteria from the animal. As a rule, the infrastructure is cleaned as planned in production facilities using various approved decontamination agents and the success of germ count reduction is checked using selective...
Funding period: 2025 - 2027
Relevancy: 100%
Uniqueness theorems and analysis of classical density functional theory in nonequilibrium random geometries (Project)
Describing the time evolution of various types of classical models for colloidal fluids by methods of statistical mechanics has become an important research area in physics over the last decades. This requires appropriate theories which are predictive, accurate and also numerically realizable. A promising option is classical dynamical density functional theory (DDFT), which, however, faces the...
Funding period: 2024 - 2027
Relevancy: 100%
Method development for authenticity control of poultry meat of different geographic origins and husbandry systems using a combination of stable isotope ratio analysis (IRMS) and elemental analysis (ICP-MS) (Project)
To combat food fraud, an analytical method for authenticity control of poultry meat (chicken/turkey) from different geographical origins and husbandry systems is to be developed.
Funding period: 2023 - 2026
Relevancy: 100%
Testing and assessment of approaches for automated spICP-MS evaluation methods using machine learning (Project)
This project aims to evaluate the applicability of Machine Learning (ML) approaches for a harmonised, automated data evaluation of single particle measurements using inductively-coupled plasma mass spectrometry (spICP-MS). Therefore, existing and specifically generated spICP-MS data sets will be employed by the Fraunhofer ITWM to test selected ML approaches (proof-of.concept). Their ability to...
Funding period: 2022 - 2023
Relevancy: 100%
The oxygen isotope signature of organic matter in plants and soil (Project)
currently unavailable
Funding period: 2024 - 2026
Relevancy: 100%
Critical appraisal tool (CAT) for the evaluation of evidence from animal observational epidemiological studies and Test of a risk modelling tool (Rrisk) in the context of EFSA (Project)
EFSA (European Food Safety Authority) performs systematic evidence appraisals using Critical Appraisal Tools (CATs) to assess and integrate evidence. EFSA collaborates with BfR to develop risk of bias tools for observational study designs and animal populations. A template for a rapid risk of bias (raRoB) assessment tool for individual observational epidemiological studies in the context of risk...
Funding period: 2022 - 2024
Relevancy: 100%
Making FCL Software fit for purpose (Project)
In times of complex globalised food and feed supply chains there is a strong need for efficient tracing strategies including data collection and data exchange approaches as well as powerful interoperable tracing software tools. In general, harmonised data structures, accurate and detailed datasets, digitalised data collection tools including data validation as well as interfaces to data systems...
Funding period: 2022 - 2024
Relevancy: 100%
AWESOME - A Warming Experiment to Elucidate Soil Organic Matter dynamics in a subarctic Ecosystem (Project)
AWESOME - A Warming Experiment to Elucidate Soil Organic Matter dynamics in a subarctic Ecosystem
Funding period: 2024 - 2027
Relevancy: 100%
Sustainable management potential of secondary cloud forests in Mexico (Project)
Sustainable management potential of secondary cloud forests in Mexico
Funding period: 2021 - 2026
