Results 211 to 220 of about 510,176 (333)

Effects of dietary prickly ash seeds supplementation on muscle development and volatile compounds of Hu sheep. [PDF]

Food Chem (Oxf)
Li Q, Liu Z, Wu Y, Wang C, Ma X, Ma Y.
europepmc   +1 more source

Analysis of Volatile Sulphur Compounds in Mouth Air by Gas Chromatography

, 1976
T Kaizu
openalex   +2 more sources

Enhanced Performance and In Situ TEM Investigation in High Entropy Alloy Electrode Based Memristors

Advanced Functional Materials, EarlyView.
This study utilizes in situ TEM, EDS, EELS, and APT to reveal switching in HEA/ZnO/Nb:STO RRAM. High diffusivity of Mn lowers the SET voltage to 1.5 V. Cr stabilizes the oxygen layer, while Fe, Co, and Ni stabilize the electrode. Based on these observations, the device achieves 30 ns switching, a 10⁷ memory window, and excellent endurance, being ...
Jing‐Yuan Tsai, Chun‐Wei Huang, Jui‐Yuan Chen, Che‐Hung Wang, Ping‐Hsien Wu, Jia‐Wei Chen, Yu‐Chen Yang, Tung‐huan Chou, Kun‐lin Lin, Ying‐Hao Chu, Wen‐Wei Wu   +10 more
wiley   +1 more source

Chemical and Volatile Compounds in Sweet Potato Brandy: Impact of Processing Methods. [PDF]

Foods
Li Y, Li L, Liu Q, Yin Y, Zhou L, Zhao X, Peng X.   +6 more
europepmc   +1 more source

Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth

Advanced Functional Materials, EarlyView.
This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh, Ankita Mohanty, Amit Malakar, Suryasarathi Bose, Suprakas Sinha Ray   +4 more
wiley   +1 more source

Determination and comparison of volatile compounds of different poultry species eggs. [PDF]

Vet Res Forum
Yenilmez F, Anitas O, Goncu S, Yilmaz N.
europepmc   +1 more source

Problems caused by the activity of Al2O3-PLOT columns in the capillary gas chromatographic analysis of volatile organic compounds [PDF]

, 1988
Th. Noij, J.A. Rijks, C.A.M.G. Cramers
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Heat-Treated Sucuk in Natural Casings: A Source of Higher Fermentative and Oxidative Volatile Compounds? [PDF]

Food Sci Nutr
Dursun A, Türkmen D, Güler Z.
europepmc   +1 more source

Studies on the volatile components of peated malt. I. Identification of phenolic compounds.

, 1974
Mitsuo Deki, Minoru Yoshimura
openalex   +2 more sources