Results 171 to 180 of about 723,003 (246)
A novel operando methodology, which combines simultaneous rheological and electrochemical measurements under dc polarization in a LiTFSI‐doped polystyrene‐block‐poly(ethylene oxide) block copolymer electrolyte, is developed. Time‐resolved monitoring of the viscoelastic and electrochemical responses to galvanostatic stimulus enables to elucidate the ...
Martino Airoldi +2 more
wiley +1 more source
Tunable chiral and nematic states in the triple-Q antiferromagnet Co<sub>1/3</sub>TaS<sub>2</sub>. [PDF]
Kirstein E +5 more
europepmc +1 more source
ABSTRACT The US hemp market is a new and nascent industry that has been devoid of research for about half a century. This study examined the effects of exogenous shock on price at each phase of the value chain—Farm (hemp biomass), and its impact on prices at other phases of the value chain—Intermediary Processor (crude cannabidiol hemp) and Final ...
Solomon Odiase +2 more
wiley +1 more source
Entropic Phenomena in Spin-Ice Materials and Magnetic Monopole Excitations. [PDF]
Chappa A, Miao L.
europepmc +1 more source
Vertical Price Transmission in Food Markets: New Evidence From Meta‐Analysis
ABSTRACT A growing body of empirical research has examined price dynamics along the food supply chain, yet findings remain heterogeneous and often conflicting. This study conducts a meta‐analysis of 140 studies, totaling 652 observations, to examine (1) the reported presence of asymmetric price transmission and (2) the reported direction of price ...
Sushan K C +2 more
wiley +1 more source
Signatures of Antisymmetric Vibrations in the Ultrafast Dynamics of Quadrupolar Dyes. [PDF]
Souri S +9 more
europepmc +1 more source
ABSTRACT This paper examines how mandatory disclosure of added sugar content on the updated U.S. Nutrition Facts Panel (NFP) affects consumer demand and market outcomes. Using NielsenIQ Retail Scanner Data (2015–2020) and a random coefficient discrete choice model, we estimate how added sugar labeling influences purchasing behavior in yogurt and cookie
Yuxiang Zhang, Yizao Liu
wiley +1 more source
Riemannian metric learning for alignment of spatial multiomics. [PDF]
Halmos P, Xia Y, Raphael BJ.
europepmc +1 more source
Embedded Morgan Fingerprints for More Efficient Molecular Property Predictions With Machine Learning
High dimensionality of Morgan fingerprints causes overfitting and slow training. Embedded Morgan Fingerprint (eMFP) compresses this encoding while keeping key structural information intact. Tested on five regression models across three databases for HOMO–LUMO gap prediction, eMFP outperforms standard fingerprints, training faster on large, high ...
Emilio Nuñez‐Andrade +4 more
wiley +1 more source

