Results 41 to 50 of about 163,949 (261)

POULTRY MEAT IN THE PRODUCTION OF MEAT PRODUCTS

Poljoprivreda, 2000
The authors had studied the possibility of the use of various types of poultry meat, factors which could have and adverse impact upon the microbiological quality of the raw material, technology of meat products production and the quality of products.
Varga, Ciril, Strelec, Vladimir, Volk, Marko   +2 more
openaire   +2 more sources

CSF Cytokine Network Organization Predicts Progression Independent of Relapse and MRI Activity in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno, Matteo Conti, Ettore Dolcetti, Federica Azzolini, Angela Borrelli, Roberta Fantozzi, Mario Stampanoni Bassi, Giovanni Galifi, Giuseppe Maccarrone, Luca Montaguti, Marco Cervigni, Maddalena Dal Pozzo, Roberto Furlan, Annamaria Finardi, Girolama Alessandra Marfia, Marco Salvetti, Antonella Conte, Fabio Buttari, Diego Centonze, Luana Gilio   +19 more
wiley   +1 more source

Incidence of Salmonellae in Meat and Meat Products [PDF]

Applied Microbiology, 1969
Standard enrichment, plating, and biochemical techniques were used to assess the incidence of Salmonella species on beef and pork carcasses and processed meat products. The incidence of Salmonella in pork carcasses was 56% and in beef carcasses, 74 ...
M A, Weissman, J A, Carpenter
openaire   +2 more sources

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga   +2 more
wiley   +1 more source

SELECTION OF COMPONENTS OF THE COMPOSITIONAL PROTEIN-CARBOHYDRATE MIXTURE TO IMPROVE THE QUALITY OF THE CHOPPED SEMI-FINISHED PRODUCTS

Food and Environment Safety, 2019
Meat is one of the most significant and nutritious foods available for the masses, which helps to satisfy most of the needs of the body. It has is a good source of proteins, zinc, iron, selenium, and phosphorus followed by vitamin A and B-complex ...
Taisa HONCHARENKO, Oksana TOPCHYI
doaj  

Formation of advanced glycation end products in raw and subsequently boiled broiler muscle: biological variation and effects of postmortem ageing and storage

Food Science and Human Wellness, 2022
The study aimed to investigate and compare the contents of carboxymethyllysine (CML) in two kinds of broilers during postmortem ageing and storage. The contents of CML in raw and boiled (100 °C, 30 min) broiler briskets and legs which were from white ...
Suhong Huang, Xiaoli Dong, Yali Zhang, Yuru Chen, Yajie Yu, Ming Huang, Yuandong Zheng   +6 more
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

High-Salt Diet Has a Certain Impact on Protein Digestion and Gut Microbiota: A Sequencing and Proteome Combined Study

Frontiers in Microbiology, 2017
High-salt diet has been considered to cause health problems, but it is still less known how high-salt diet affects gut microbiota, protein digestion, and passage in the digestive tract.
Chao Wang, Chao Wang, Chao Wang, Chao Wang, Zixin Huang, Zixin Huang, Zixin Huang, Zixin Huang, Kequan Yu, Kequan Yu, Kequan Yu, Kequan Yu, Ruiling Ding, Ruiling Ding, Ruiling Ding, Ruiling Ding, Keping Ye, Keping Ye, Keping Ye, Keping Ye, Chen Dai, Chen Dai, Chen Dai, Chen Dai, Xinglian Xu, Xinglian Xu, Xinglian Xu, Xinglian Xu, Guanghong Zhou, Guanghong Zhou, Guanghong Zhou, Guanghong Zhou, Chunbao Li, Chunbao Li, Chunbao Li, Chunbao Li   +35 more
doaj   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source