A novel illumination condition varied image dataset-Food Vision Dataset (FVD) for fair and reliable consumer acceptability predictions from food [PDF]
Recent advances in artificial intelligence promote a wide range of computer vision applications in many different domains. Digital cameras, acting as human eyes, can perceive fundamental object properties, such as shapes and colors, and can be further used for conducting high-level tasks, such as image classification, and object detections.
arxiv
Advancement of metal oxide nanomaterials on agri-food fronts [PDF]
The application of metal oxide nanomaterials (MOx NMs) in the agrifood industry offers innovative solutions that can facilitate a paradigm shift in a sector that is currently facing challenges in meeting the growing requirements for food production, while safeguarding the environment from the impacts of current agriculture practices.
arxiv +1 more source
Identification of inhibitors of the Salmonella FraB deglycase, a drug target
A high‐throughput screen was used to identify inhibitors of Salmonella FraB, a drug target. Characterization of top hits (identified after an additional counter screen) revealed that some triazolidines, thiadiazolidines, and triazolothiadiazoles are mixed‐type inhibitors of FraB.
Jamison D. Law+6 more
wiley +1 more source
Alkane biosynthesis gene expression and its increased production in recombinant cyanobacteria
The transcription and mRNA structures of the alkane biosynthesis genes ado/aar were analysed in the representative cyanobacteria PCC 6803 and SK1‐2‐1, which produce C17H36 and C15H32, respectively. PCC 6803 transconjugants carrying these genes showed a 1.8‐ to 2.3‐fold increase in C17H36 production.
Misato Nagao+4 more
wiley +1 more source
Practical Spectroscopy in Agriculture and Food Science [PDF]
This book introduces the students and specialists of agricultural and food science to the fundamentals of optical spectroscopy, main principles of modern spectroscopic instrumentation, advantages and practical applications of spectroscopic methods to investigation of agricultural objects such as milk and dairy products, eggs, honey, animal hair, and ...
openaire +1 more source
ABSTRACT Dietary manipulations like ketogenic diets are established interventions for recalcitrant epilepsy. However, it remains unknown whether specific macronutrient exposure through dietary environments could possibly extend to primary preventive qualities, associated with changes in epilepsy disease burden (prevalence and incidence).
Duan Ni+4 more
wiley +1 more source
Considering the Risks and Costs of Solid Organ Xenotransplantation
This perspective discusses the rationale, risks, and costs of whole‐organ xenotransplantation. It considers alternative strategies to obviate the demand for transplants and optimize allotransplantation systems and practices that do not impose xenotransplantation's harms and risks, and whether they are the most ethical and effective means to increase ...
Catharine E. Krebs+5 more
wiley +1 more source
Advanced Mycelium Skins for Sustainable Electronics
Mycelium skins are sustainable substrates for high‐performance electronic devices, enabling a green future. Environmentally friendly post‐growth treatments extend their durability and significantly improve their mechanical and electrical properties while maintaining their thermal stability and biodegradability.
Roland Pruckner+11 more
wiley +1 more source
Science, Technology, and Competitiveness in Alberta's Agriculture and Food Sector
This project addresses several issues related to efficiency, productivity, and competitiveness in Alberta's agriculture and food sector, in both its primary agricultural sector and its secondary processing industry related to food and beverages. A major underlying theme of this work is that the competitiveness and economic sustainability of Alberta's ...
Fantino, Alberto A.+2 more
openaire +4 more sources
Prediction of Food Production Using Machine Learning Algorithms of Multilayer Perceptron and ANFIS [PDF]
Advancing models for accurate estimation of food production is essential for policymaking and managing national plans of action for food security. This research proposes two machine learning models for the prediction of food production. The adaptive network-based fuzzy inference system (ANFIS) and multilayer perceptron (MLP) methods are used to advance
arxiv