Label-free Electrochemical-optical Detection of Peptide Toxins Binding to a Membrane Based on Core-Shell Nanoparticles Substrates [PDF]
H. Ha+3 more
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In this study, exciting new bi‐/multi‐linear elastic behavior of soft elastic composites that accompany the activation of wrinkling in the embedded interfacial layers is analyzed. The new features and performance of these composite materials, including dramatic enhancements in energy storage, can be tailored by the concentration of interfacial layers ...
Narges Kaynia+2 more
wiley +1 more source
Additive manufacturing of magnesium alloys by laser is difficult because the melting point of the oxide layer is much higher than the evaporation temperature of the metal underneath. Making the oxide layer thinner can solve this problem. Alloying magnesium with strontium makes the oxide layer thinner, especially at 0.5 wt%.
Elmar Jonas Breitbach+8 more
wiley +1 more source
Label-Free Detection with the Liquid Core Optical Ring Resonator Sensing Platform [PDF]
I.H. White+4 more
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Optical label encoding and swapping using half-bit delayed dark RZ payload and DPSK label
Chi‐Wai Chow, Hon Ki Tsang
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Spectral-domain optical coherence phase microscopy for label-free multiplexed protein microarray assay [PDF]
Chulmin Joo+3 more
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Machine Learning Classification of Chirality and Optical Rotation Using a Simple One-Hot Encoded Cartesian Coordinate Molecular Representation. [PDF]
Zhou Y, Zhu H, Yuan Y, Song Z, Mort BC.
europepmc +1 more source
Assessing the Ecological Value: Monetizing Process Innovations in Tailored Forming
This article introduces a method for evaluating the sustainability of innovations, even with limited data. The method is illustrated through an analysis of the “Tailored Forming” technology, which explores the impact of sustainability on economic value added.
Jonas Schneider+4 more
wiley +1 more source
Optical imaging of mouse articular cartilage using the glycosaminoglycans binding property of fluorescent-labeled octaarginine [PDF]
Kiichi Inagawa+9 more
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Vibration area localization and event recognition for underground power optical cable in multiple laying scenarios based on deep learning. [PDF]
Jiang W, Li C, Zhang W, Xie C.
europepmc +1 more source