Results 121 to 130 of about 106,296 (285)

Safety, Sensory Quality and Nutritional Value of Hybrid Meat Products Made from Turkey Meat and Red Beans Preserved with a Bioprotective Culture

Molecules
The current study assessed the quality and safety of hybrid meat products made from turkey meat and red beans with the addition of SAFEPRO® B-LC-20 protective cultures.
Małgorzata Karwowska, Patrycja Skwarek, Elżbieta Solska, Agata Nowaczyk, Andrzej Goławski, Przemysław Wojtaś, Dariusz M. Stasiak   +6 more
doaj   +1 more source

Utilization of the Intact Male for Red Meat Production: A Review

, 1982
S. C. Seideman, H. R. Cross, R. R. Oltjen, B. D. Schanbacher   +3 more
openalex   +2 more sources

Effect of Cubed Roughage Supplementation and Red Clay Levels on Growth Performance, Meat Quality and Economic Benefits in Korean Native Cattle [PDF]

, 2002
Yi Jin, Menggui Jin, Jinsu Hong, H.G. Lee, B.K. Lee, Jin‐Soo Kim, You‐Jin Choi   +6 more
openalex   +1 more source

Tailored Fluorescent Metal–Organic Frameworks Hybrid Membrane Sensor Arrays: Simultaneous and Selective Quantification of Multiple Antibiotics

Advanced Science, Volume 12, Issue 27, July 17, 2025.
A filterable paper‐based fluorescent metal–organic frameworks (MOFs) sensor array is developed for one‐to‐one recognition and simultaneous quantification of multiple antibiotics. Three representative MOFs are strategically designed to exhibit exceptional affinity and specificity for the target antibiotic.
Tongtong Ma, Qiao Huang, Lei Yuan, Shugang Yan, Yalin Mo, Yibin Ying, Yingchun Fu, Jinming Pan   +7 more
wiley   +1 more source

IARC Monographs - Red meat and processed meat

, 2018
Participation au groupe de travail en tant qu'expert.
openaire   +2 more sources

deepTFBS: Improving within‐ and Cross‐Species Prediction of Transcription Factor Binding Using Deep Multi‐Task and Transfer Learning

Advanced Science, EarlyView.
DeepTFBS leverages deep learning to predict transcription factor binding sites across species, integrating multi‐task and transfer learning approaches to improve performance in data‐scarce scenarios. This study demonstrates enhanced accuracy in intra‐ and cross‐species prediction, revealing conserved regulatory patterns and functional variants.
Jingjing Zhai, Yuzhou Zhang, Chujun Zhang, Xiaotong Yin, Minggui Song, Chenglong Tang, Pengjun Ding, Zenglin Li, Chuang Ma   +8 more
wiley   +1 more source

Comprehensive Review of Red Meat Consumption and the Risk of Cancer. [PDF]

Cureus, 2023
Sivasubramanian BP, Dave M, Panchal V, Saifa-Bonsu J, Konka S, Noei F, Nagaraj S, Terpari U, Savani P, Vekaria PH, Samala Venkata V, Manjani L.   +11 more
europepmc   +1 more source

Studies on flavor components of Katsuobushin. Part II. Non-volatile flavor components in dorsal, abdominal and red meat parts of dried skipjack (Katsuobushi).

, 1990
Makoto Hosokawa, Hidemasa Sakakibara, Izumi Yajima, Kazuo Hayashi   +3 more
openalex   +2 more sources

GSTM1 Null Genotype, Red Meat Consumption and Breast Cancer Risk (The Netherlands) [PDF]

, 2004
Olga L. van der Hel, Petra H. Peeters, David W. Hein, Mark A. Doll, Diederick E. Grobbee, Marga C. Ocké, H. Bas Bueno de Mesquita   +6 more
openalex   +1 more source

Machine Learning‐Enhanced Nanoparticle Design for Precision Cancer Drug Delivery

Advanced Science, EarlyView.
Machine Learning (ML) is revolutionizing cancer nanomedicine by optimizing nanoparticle (NP) design and drug delivery. This review summarizes ML applications across all stages of NP drug delivery, along with a discussion of ongoing challenges and future directions.
Qingquan Wang, Yujian Liu, Chenchen Li, Bin Xu, Shidang Xu, Bin Liu   +5 more
wiley   +1 more source