Results 161 to 170 of about 164,493 (310)

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Keragaman Gen Heat Shock Protein 70 pada Ayam Kampung, Ayam Arab, dan Ayam Ras (POLYMORPHISMS OF THE HEAT SHOCK PROTEIN 70 GENE IN KAMPONG, ARABIC, AND COMMERCIAL CHICKENS)

open access: yesJurnal Veteriner, 2013
The aim of the research was to identify the polymorphisms of HSP-70 gene of kampong, Arabic, andcommercial chickens. The study used whole blood samples taken from the branchial vein at the age of 12weeks from a group of chickens that were kept since DOC.
Mohamad Hasil Tamzil   +3 more
doaj  

Serum antibodies to human heat shock protein 70 in patients with coronary atherosclerosis

open access: yes, 2006
: Previous studies suggest that antibodies to human heat shock protein 70 have a higher frequency in patients with risk factors for coronary atherosclerosis.
Weigold, Ph., Schafler, A. E.
core  

Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao   +3 more
wiley   +1 more source

Heat shock protein 70 (Hsp70) [PDF]

open access: yesScience-Business eXchange, 2014
openaire   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz   +2 more
wiley   +1 more source

Heat shock protein 70 (Hsp70) [PDF]

open access: yesScience-Business eXchange, 2013
openaire   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

open access: yesAdvanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira   +13 more
wiley   +1 more source

Porcine kidney xenotransplantation: From primate models to clinical reality

open access: yesAnimal Models and Experimental Medicine, EarlyView.
In the face of a critical shortage of human donor kidneys for end‐stage renal disease patients, porcine kidney xenotransplantation has emerged as a viable solution. This field has navigated major hurdles, including immune rejection, physiological incompatibilities, potential biomechanical differences and the risk of cross‐species infection. To overcome
Zihang Guo   +3 more
wiley   +1 more source

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