Results 61 to 70 of about 4,069,933 (387)
Visual Aware Hierarchy Based Food Recognition [PDF]
Food recognition is one of the most important components in image-based dietary assessment. However, due to the different complexity level of food images and inter-class similarity of food categories, it is challenging for an image-based food recognition system to achieve high accuracy for a variety of publicly available datasets.
arxiv
LHCPs are transported to the thylakoid membrane via the (cp)SRP pathway. This process involves a transit complex of (cp)SRP43, (cp)SRP54 and LHCP, which interacts with (cp)FtsY and Alb3 at the membrane. GTP hydrolysis by (cp)SRP54 and (cp)FtsY triggers complex dissociation.
Victor Zegarra+7 more
wiley +1 more source
Labelling and testing of foods designated as suitable for diabetic and low calorie diets [PDF]
The aim of this project was to assess whether consumers, especially those following a diabetic or low calorie diet, would benefit from newly designed food labels denoting glycaemic load and whether these labels would help them make a faster food ...
Azzopardi, Lilian M.+2 more
core
Food labels: consumer’s information or consumer’s confusion
This paper synthesizes findings of published research on the impact of food labels on consumers’ willingness to pay and focuses on the consumers’ rationales when deciding to purchase organic food. The first issue refers to one aspect of the proliferation
S. Monier‐Dilhan
semanticscholar +1 more source
Taurine promotes glucagon‐like peptide‐1 secretion in enteroendocrine L cells
Taurine, a sulfur‐containing amino acid, is likely taken up by enteroendocrine L cells via the taurine transporter. This process increases the levels of cytosolic ATP. The increase in intracellular Ca2+ concentrations and glucagon‐like peptide‐1 secretion through membrane depolarization is caused by the closure of ATP‐sensitive potassium channels ...
Yuri Osuga+6 more
wiley +1 more source
Deep Learning based Food Instance Segmentation using Synthetic Data [PDF]
In the process of intelligently segmenting foods in images using deep neural networks for diet management, data collection and labeling for network training are very important but labor-intensive tasks. In order to solve the difficulties of data collection and annotations, this paper proposes a food segmentation method applicable to real-world through ...
arxiv
How Do Consumers Use Nutrition Labels on Food Products in the United States? [PDF]
This study examined how consumers use food labels in the United States. Based on the results from the cluster analysis, eight nutrition label questions from the Health and Diet Survey fell into 2 categories of label usage: for shopping or for dietary ...
Andrews, J. Craig+4 more
core +2 more sources
Unraveling Mycobacterium tuberculosis acid resistance and pH homeostasis mechanisms
Mycobacterium tuberculosis exhibits a remarkable resilience to acid stress. In this Review, we discuss some of the molecular mechanisms and metabolic pathways used by the tubercle bacilli to adapt and resist host‐mediated acid stress. Mycobacterium tuberculosis (Mtb) is a successful pathogen that has developed a variety of strategies to survive and ...
Janïs Laudouze+3 more
wiley +1 more source
Decoding Food Labels: Handouts for People with Food Allergies
Revised! FCS-8786, a 14-page document by Amy Simonne and Elizabeth Gollub, presents visually appealing handouts that can help people with food allergies quickly scan food labels for the foods they are allergic to.
Amy H. Simonne, Elizabeth Gollub
doaj +5 more sources
Consumers' opinions on warning labels on food packages: A qualitative study in Brazil.
This study aimed to assess consumers' uses of and opinions on the current Brazilian food label and their reaction to the introduction of a front-of-package warning label.
Priscila de Morais Sato+9 more
doaj +1 more source