Explanipedia

Food safety trends across Europe: insights from the 392-million-entry CompreHensive European Food Safety (CHEFS) database Open

Nehir Kizililsoley, Floor van Meer, Osman Mutlu, Wouter Hoenderdaal, R.G. Hobé , et al. · 2025

Food safety trends across Europe: insights from the 392-million-entry CompreHensive European Food Safety (CHEFS) database Open

Nehir Kizililsoley, Floor van Meer, Osman Mutlu, Wouter Hoenderdaal, R.G. Hobé , et al. · 2025

In the European Union, official food safety monitoring data collected by member states are submitted to the European Food Safety Authority (EFSA) and published on Zenodo. This data includes 392 million analytical results derived from over …

Extracting chemical food safety hazards from the scientific literature automatically using large language models Open

Neris Özen, Wenjuan Mu, E.D. van Asselt, Leonieke M. van den Bulk · 2024

Vascular smooth muscle cell PRDM16 regulates circadian variation in blood pressure Open

Zhenguo Wang, Wenjuan Mu, Juan Zhong, Ruiyan Xu, Yaozhong Liu , et al. · 2024

Disruptions of blood pressure (BP) circadian variation are closely associated with an increased risk of cardiovascular disease. Thus, gaining insights into the molecular mechanisms of BP circadian variation is essential for comprehending B…

Data driven food fraud vulnerability assessment using Bayesian Network: Spices supply chain Open

Yamine Bouzembrak, Ningjing Liu, Wenjuan Mu, Anand Gavai, Louise Manning , et al. · 2024

Recognizing the vulnerabilities that arise in the spices' supply chain for food fraud, determining which products and food fraud types to assess is crucial for ensuring food quality and food safety. In this study, we developed a data drive…

Extracting chemical food safety hazards from the scientific literature automatically using large language models Open

Neris Özen, Wenjuan Mu, E.D. van Asselt, Leonieke M. van den Bulk · 2024

The number of scientific articles published in the domain of food safety has consistently been increasing over the last few decades. It has therefore become unfeasible for food safety experts to read all relevant literature related to food…

Making food systems more resilient to food safety risks by including artificial intelligence, big data, and internet of things into food safety early warning and emerging risk identification tools Open

Wenjuan Mu, G.A. Kleter, Yamine Bouzembrak, Eleonora Dupouy, Lynn J. Frewer , et al. · 2024

To enhance the resilience of food systems to food safety risks, it is vitally important for national authorities and international organizations to be able to identify emerging food safety risks and to provide early warning signals in a ti…

Author Correction: Applying federated learning to combat food fraud in food supply chains Open

Anand Gavai, Yamine Bouzembrak, Wenjuan Mu, Frank Martin, Rajaram Kaliyaperumal , et al. · 2023

Applying federated learning to combat food fraud in food supply chains Open

Anand Gavai, Yamine Bouzembrak, Wenjuan Mu, Frank Martin, Rajaram Kaliyaperumal , et al. · 2023

Ensuring safe and healthy food is a big challenge due to the complexity of food supply chains and their vulnerability to many internal and external factors, including food fraud. Recent research has shown that Artificial Intelligence (AI) …

PRDM16 deficiency in vascular smooth muscle cells aggravates abdominal aortic aneurysm Open

Zhenguo Wang, Xiangjie Zhao, Guizhen Zhao, Yanhong Guo, Haocheng Lu , et al. · 2023

Abdominal aortic aneurysm (AAA) is usually asymptomatic until life-threatening complications occur, predominantly involving aortic rupture. Currently, no drug-based treatments are available, primarily due to limited understanding of AAA pa…

Building a resilient pork supply chain to<i>Salmonella</i>spp Open

Wenjuan Mu, E.D. van Asselt, C.P.A. van Wagenberg, H.J. van der Fels‐Klerx · 2023

Salmonella spp. control in pork supply chains has always been a challenging issue and insufficient control can lead to high social and economic consequences. Conventional risk management and risk management approaches and models are not su…

A federated learning approach to data sharing in a food supply chain Open

Anand Gavai, Yamine Bouzembrak, Wenjuan Mu, Frank Martin, Rajaram Kaliyaperumal , et al. · 2022

Ensuring safe and healthy food is a big challenge due to the complexity of food supply chains and their vulnerability to many internal and external factors. Recent research has shown that Artificial Intelligence (AI) based algorithms, in p…

Global media as an early warning tool for food fraud; an assessment of MedISys-FF Open

H.J.P. Marvin, Wouter Hoenderdaal, Anand Gavai, Wenjuan Mu, Leonieke M. van den Bulk , et al. · 2022

D6.1 - Piloting Scenarios & Evaluation Plan II Open

H.J.P. Marvin, Yamine Bouzembrak, Leonieke van den Bulk, Wouter Hoenderdaal, Wenjuan Mu · 2021

This document provides an overall guidance methodology for the pilot execution in the first iteration of TheFSM pilots. It sets out the whole process of developing and conducting a pilot and provides for each step…

Towards a resilient food supply chain in the context of food safety Open

Wenjuan Mu, E.D. van Asselt, H.J. van der Fels‐Klerx · 2021

Mobile Apps for Green Food Practices and the Role for Consumers: A Case Study on Dining Out Practices with Chinese and Dutch Young Consumers Open

Wenjuan Mu, Gert Spaargaren, Alfons Oude Lansink · 2019

Mobile applications (apps) have become popular among consumers to facilitate their existing food practices like cooking, shopping, and dining out. However, the feasibility of using mobile apps to facilitate sustainability transitions in fo…

Benchmarking the environmental performance of dairy farming systems Open

Wenjuan Mu · 2017

Milk production has a major impact on the environment and competes increasingly for scarce resources. As the demand for milk is expected to increase, these issues are likely to worsen. Benchmarking the environmental performance of dairy fa…

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