Results 41 to 50 of about 372,016 (296)
Selling Meat and Meat Products [PDF]
Author(s): Harris, Linda J; Tan, Hsu Ling | Abstract: Federal, state, or local agency inspection is mandatory for any meat or meat product before it can be sold. This publication explains various product categories and tells which inspection each one requires.
Harris, Linda J, Tan, Hsu Ling
openaire +3 more sources
Detecting rs‐fMRI Networks in Disorders of Consciousness: Improving Clinical Interpretability
ABSTRACT Background Preserved resting‐state functional MRI (rs‐fMRI) networks are typically observed in Disorders of Consciousness (DOC). Despite the widespread use of rs‐fMRI in DOC, a systematic assessment of networks is needed to improve the interpretability of data in clinical practice.
Jean Paul Medina Carrion+15 more
wiley +1 more source
This paper focuses on the mechanism of the excellent oil/water (O/W) interface elastic film formation ability of meat protein (myofibrillar protein (MP)) compared with proteins (porcine plasma protein (PPP), egg-white protein isolate (EPI), and sodium ...
Ruying Cai+4 more
doaj +1 more source
Yeasts are one of the predominant microbial groups in fermented meats. In this study, yeast communities of Chinese Dong fermented pork (Nanx Wudl) were investigated and the technological properties of 73 yeast isolates were evaluated.
Ruifang Mi+8 more
doaj
Biogenic Amines in Meat and Meat Products
It has been recognized for some time that biogenic amines occur in a wide range of foods, among them meat and meat products. Meat is an important component of the diet in developed countries. The presence of these amines in food is of interest for two reasons: firstly, for toxicological reasons, in the sense that high levels of dietary biogenic amines ...
Ruiz-Capillas, Claudia+1 more
openaire +4 more sources
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez+2 more
wiley +1 more source
This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi+4 more
wiley +1 more source
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi+4 more
wiley +1 more source
A novel approach for alloy development in laser powder bed fusion is introduced. Instead of producing massive samples of one composition at a time, prepressed powder bed samples produced from powder mixtures are processed. Guidelines for the selection of precursor powders are developed.
Felix Großwendt+6 more
wiley +1 more source
Morphological features of three defect types in metal additive manufacturing (AM)—lack of fusion, keyhole, and gas‐entrapped pores—are statistically characterized using best‐fit distributions evaluated via coefficient‐of‐determination, Kolmogorov–Smirnov test, and quantile–quantile plots.
Ahmad Serjouei, Golnaz Shahtahmassebi
wiley +1 more source