Results 251 to 260 of about 353,600 (351)

Arkansas Animal Science Department Report 2006 [PDF]

, 2006
Johnson, Zelpha B., Kellogg, D. Wayne
core   +2 more sources

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source

Single nucleotide polymorphisms in CAPN and leptin genes associated with meat color and tenderness in Nellore cattle

, 2011
Luís Fernando Batista Pinto, José Bento Sterman Ferraz, Victor Breno Pedrosa, Joanir Pereira Eler, Flávio Vieira Meirelles, Marina de Nadai Bonin Gomes, Fernanda Marcondes de Rezende, Minos Esperândio Carvalho, D.C. Cucco, R. C. G. Silva   +9 more
openalex   +1 more source

AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes

Advanced Intelligent Discovery, EarlyView.
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song, Xinmin Li, Hongbo Yu, Le Xiong, Guixia Liu, Weihua Li, Yun Tang   +6 more
wiley   +1 more source

Effects of feeding almond hulls to light lambs on carcass characteristics and meat quality. [PDF]

J Sci Food Agric
Recalde A, de Evan T, Cabezas A, Díaz-Chirón MT, Mateo J, Roldán RA, López-Feria S, Carro MD.   +7 more
europepmc   +1 more source

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

Optimizing Cattle, Yak, Camel, and Horse Meat Processing: Species-Sex Physicochemical Drivers. [PDF]

Food Sci Nutr
Bai X, Bai Y, Li J, Zhu C, Xu L, Yu X, Yin F, Ru A, Wang X, Bai Y.   +9 more
europepmc   +1 more source

Genome-wide association studies of meat color indicators in the F2 chickens resource population [PDF]

А. Н. Ветох, Н. А. Волкова, Polina V. Larionova, Alan Yu. Dzhagaev, Alexandra S. Abdelmanova, N. A. Zinovieva   +5 more
openalex   +1 more source

SuperResNET: Model‐Free Single‐Molecule Network Analysis Software Achieves Molecular Resolution of Nup96

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li, Ismail M. Khater, Christian Hallgrimson, Ben Cardoen, Timothy H. Wong, Ghassan Hamarneh, Ivan R. Nabi   +6 more
wiley   +1 more source