Results 51 to 60 of about 69,792 (323)
Hyperspectral identification of oil adulteration using machine learning techniques
Current Research in Food ScienceFood adulteration is a global concern, drawing attention from safety authorities due to its potential health risks. Detecting and categorizing oil adulteration is crucial for consumer safety and food industry integrity.
Muhammad Aqeel +4 more
semanticscholar +1 more source
Advanced Intelligent Discovery, EarlyView.A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source
Intentional Adulteration of Foods with Chemicals: Snapshot for 2009–2022
Journal of Food ProtectionGlobal occurrences of the intentional adulteration of food with a chemical toxicant culled from the literature and news reports from 2009 to 2022 were analyzed in terms of their ability to cause mass public health harm.
Carol A.S. Brevett, Jessica A. Cox
doaj +1 more source
Foods, 2023 Camel milk, esteemed for its high nutritional value, has long been a subject of interest. However, the adulteration of camel milk with cow milk poses a significant threat to food quality and safety.
Zhiqiu Yao +6 more
doaj +1 more source
Systemic and Intra-Habenular Activation of the Orphan G Protein-Coupled Receptor GPR139 Decreases Compulsive-Like Alcohol Drinking and Hyperalgesia in Alcohol-Dependent Rats. [PDF]
, 2018 GPR139 is an orphan G protein-coupled receptor (GPCR) that is expressed mainly in the brain, with the highest expression in the medial habenula. The modulation of GPR139 receptor function has been hypothesized to be beneficial in the treatment of some ...
Conlisk, Dana +5 more
core
A robust approach to model-based classification based on trimming and constraints
, 2019 In a standard classification framework a set of trustworthy learning data are employed to build a decision rule, with the final aim of classifying unlabelled units belonging to the test set.
Cappozzo, Andrea +2 more
core +1 more source
One Health in food safety and security education: Subject matter outline for a curricular framework. [PDF]
, 2017 Educating students in the range of subjects encompassing food safety and security as approached from a One Health perspective requires consideration of a variety of different disciplines and the interrelationships among disciplines. The Western Institute
Angelos, John A +4 more
core +3 more sources
New approaches to treating chronic obstructive pulmonary disease with Colla corii asini
Animal Models and Experimental Medicine, EarlyView.Colla corii asini improves chronic obstructive pulmonary disease (COPD) treatment through anti‐inflammatory, antioxidant, immune‐modulatory, and lung‐nourishing effects, addressing current therapeutic challenges via multitarget mechanisms. Abstract Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death and disability ...
Wenchao Zhang +5 more
wiley +1 more source
Spoken Thesaurus: Substances [PDF]
, 2016 The Hindi Thesaurus addresses such questions in a series of lively, unscripted Hindi-medium conversations about groups of words of related meaning. Concentrating on selected mainstream words and phrases, we help you to broaden your active vocabulary by ...
Ladha, Neha, Snell, Rupert
core +1 more source
ChemFoodChem, EarlyView.ABSTRACT This study presents an analysis of caffeine content in food supplements and evaluates current regulatory frameworks against established safety guidelines. High‐caffeine products, particularly sports, and food supplements, were assessed for compliance with the safety opinion of the European Food Safety Authority (EFSA). The investigation during
Leonie Rinke +3 more
wiley +1 more source