Results 201 to 210 of about 438,292 (352)

Prediction of Esterification and Antioxidant Properties of Food-Derived Fatty Acids and Ascorbic Acid Based on Machine Learning: A Review. [PDF]

Foods
Wang X, Wang J, Zhang X, Lan T, Liu J, Zhang H.   +5 more
europepmc   +1 more source

Multi‐Omics Insights Into the Mechanisms of Early Muscle Fiber Difference and Transformation Between Lean‐Type and Chinese Indigenous Pigs

Advanced Science, EarlyView.
Multi‐omics analyses uncover breed‐specific cis‐regulatory landscapes and higher‐order chromatin architectural differences that underlie early postnatal muscle fiber divergence in pigs. A super‐enhancer upstream of PPP3CB recruits MEF2C to activate PPP3CB transcription, while the PPP3CB–MEF2C positive feedback loop promotes oxidative muscle fiber ...
Shuailong Zheng, Hainan Wu, Min Liu, Kunpeng Wu, Shuntao Huang, Zulfiqar Ahmed, Lenox Pius, Mengjin Zhu, Dequan Xu   +8 more
wiley   +1 more source

Machine learning of factors for improving oyster hatchery production. [PDF]

PLoS One
Vishwakarma S, Gray MW, Silsbe GM, Lyubchich V.   +3 more
europepmc   +1 more source

Forest products industry risk based lending guidelines

, 2016
Cary G. Fry
openalex   +1 more source

BioEnergy and the Forest Products Industry in the Atlantica Region

, 2008
Thor Olesen
openalex   +2 more sources

Rebranding the Forest Products Industry – It's a Great Place to Work! [PDF]

, 2013
David Lindsay
openalex   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

Advanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng, Fuze Cong, Shenbo Zhang, Rui Lv, Wenjia Zhang, Xinyi Ke, Juncheng Wu, Zhonghe Zhao, Kui Zhao, Di Dong, Ruofan Zhang, Zhengyu Jin, Max Seidensticker, Zhiwei Wang, Huanwen Wu, Xianlin Han, Nan Hong, Huadan Xue   +17 more
wiley   +1 more source

California's forest products industry: 1994.

, 1997
James O. Howard, Franklin R. Ward
openaire   +3 more sources

Artificial intelligence in bread making: Applications in quality control, formulation and sensory prediction. [PDF]

Food Chem X
Marimuthu Murugesan, Prakash Pandurangan, Anitha Murugesan, Halan Senthilkumar, Krishnamurthy K Hegde, Sheela Thangaraj, Meivelu Moovendhan.   +6 more
europepmc   +1 more source

Greenhouse gas and carbon profile of the u.s. Forest products industry value chain. [PDF]

Environ Sci Technol, 2010
Heath LS, Maltby V, Miner R, Skog KE, Smith JE, Unwin J, Upton B.   +6 more
europepmc   +1 more source