Results 21 to 30 of about 364,960 (271)
NutriFD: Proving the medicinal value of food nutrition based on food-disease association and treatment networks [PDF]
There is rising evidence of the health benefit associated with specific dietary interventions. Current food-disease databases focus on associations and treatment relationships but haven't provided a reasonable assessment of the strength of the relationship, and lack of attention on food nutrition.
arxiv
Personalized Food Image Classification: Benchmark Datasets and New Baseline [PDF]
Food image classification is a fundamental step of image-based dietary assessment, enabling automated nutrient analysis from food images. Many current methods employ deep neural networks to train on generic food image datasets that do not reflect the dynamism of real-life food consumption patterns, in which food images appear sequentially over time ...
arxiv
Long-Tailed Continual Learning For Visual Food Recognition [PDF]
Deep learning based food recognition has achieved remarkable progress in predicting food types given an eating occasion image. However, there are two major obstacles that hinder deployment in real world scenario. First, as new foods appear sequentially overtime, a trained model needs to learn the new classes continuously without causing catastrophic ...
arxiv
Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph [PDF]
Food recommendation has become an important means to help guide users to adopt healthy dietary habits. Previous works on food recommendation either i) fail to consider users' explicit requirements, ii) ignore crucial health factors (e.g., allergies and nutrition needs), or iii) do not utilize the rich food knowledge for recommending healthy recipes. To
arxiv +1 more source
Food Redistribution as Optimization [PDF]
In this paper we study the simultaneous problems of food waste and hunger in the context of the possible solution of food (waste) rescue and redistribution. To this end, we develop an empirical model that can be used in Monte Carlo simulations to study the dynamics of the underlying problem.
arxiv +1 more source
Re‐evaluation of lecithins (E 322) as a food additive
The present opinion deals with the re‐evaluation of lecithins (E 322) when used as a food additive. Lecithins (E 322) is an authorised food additive in the EU according to Annex II and Annex III to Regulation (EC) No 1333/2008 on food additives, and have
EFSA Panel on Food Additives and Nutrient Sources added to Food (ANS)+25 more
doaj +1 more source
Interactions between Food Additive Silica Nanoparticles and Food Matrices
Nanoparticles (NPs) have been widely utilized in the food industry as additives with their beneficial characteristics, such as improving sensory property and processing suitability, enhancing functional and nutritional values, and extending shelf-life of
Mi-Ran Go+4 more
doaj +1 more source
Social Capital Contributions to Food Security: A Comprehensive Literature Review [PDF]
Social capital creates a synergy that benefits all members of a community. This review examines how social capital contributes to the food security of communities. A systematic literature review, based on Prisma, is designed to provide a state-of-the-art review on capacity social capital in this realm.
arxiv
Metabolic dysfunction‐associated steatotic liver disease (MASLD) affects nearly one‐third of the global population and poses a significant risk of progression to cirrhosis or liver cancer. Here, we discuss the roles of hepatic dendritic cell subtypes in MASLD, highlighting their distinct contributions to disease initiation and progression, and their ...
Camilla Klaimi+3 more
wiley +1 more source
Scientific opinion on the re‐evaluation of silver (E 174) as food additive
The present opinion deals with the re‐evaluation of the safety of silver (E 174) when used as a food additive. Silver in food additive E 174 is present in its elemental form.
EFSA Panel on Food Additives and Nutrient Sources added to Food (ANS)
doaj +1 more source