[HTML][HTML] Exploring the ternary interactions in Cu–ZnO–ZrO2 catalysts for efficient CO2 hydrogenation to methanol
The synergistic interaction among different components in complex catalysts is one of the
crucial factors in determining catalytic performance. Here we report the interactions among the …
crucial factors in determining catalytic performance. Here we report the interactions among the …
[HTML][HTML] In vivo engineered extracellular matrix scaffolds with instructive niches for oriented tissue regeneration
Implanted scaffolds with inductive niches can facilitate the recruitment and differentiation of
host cells, thereby enhancing endogenous tissue regeneration. Extracellular matrix (ECM) …
host cells, thereby enhancing endogenous tissue regeneration. Extracellular matrix (ECM) …
The intestinal microbiota programs diurnal rhythms in host metabolism through histone deacetylase 3
Circadian rhythmicity is a defining feature of mammalian metabolism that synchronizes
metabolic processes to day-night light cycles. Here, we show that the intestinal microbiota …
metabolic processes to day-night light cycles. Here, we show that the intestinal microbiota …
Designed oxygen carriers from macroporous LaFeO3 supported CeO2 for chemical-looping reforming of methane
Chemical-looping reforming of methane (CLRM) offers an effective approach for coproducing
syngas and pure hydrogen. In this work, CeO 2 nano particles (2–3 nm) are well dispersed …
syngas and pure hydrogen. In this work, CeO 2 nano particles (2–3 nm) are well dispersed …
Rational design of perovskite ferrites as high-performance proton-conducting fuel cell cathodes
The biggest obstacle to the commercialization of protonic ceramic fuel cells (PCFCs) is the
lack of high-performance, low-cost cathode materials. Currently, the most promising cathode …
lack of high-performance, low-cost cathode materials. Currently, the most promising cathode …
The intestinal microbiota regulates body composition through NFIL3 and the circadian clock
The intestinal microbiota has been identified as an environmental factor that markedly affects
energy storage and body-fat accumulation in mammals, yet the underlying mechanisms …
energy storage and body-fat accumulation in mammals, yet the underlying mechanisms …
Learning in the frequency domain
Deep neural networks have achieved remarkable success in computer vision tasks. Existing
neural networks mainly operate in the spatial domain with fixed input sizes. For practical …
neural networks mainly operate in the spatial domain with fixed input sizes. For practical …
Predicting drug-target interactions using restricted Boltzmann machines
Y Wang, J Zeng - Bioinformatics, 2013 - academic.oup.com
Motivation: In silico prediction of drug-target interactions plays an important role toward
identifying and developing new uses of existing or abandoned drugs. Network-based …
identifying and developing new uses of existing or abandoned drugs. Network-based …
[HTML][HTML] Single-atom catalyst for high-performance methanol oxidation
Single-atom catalysts have been widely investigated for several electrocatalytic reactions
except electrochemical alcohol oxidation. Herein, we synthesize atomically dispersed platinum …
except electrochemical alcohol oxidation. Herein, we synthesize atomically dispersed platinum …
A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction
The environmental factors of landslide susceptibility are generally uncorrelated or non-linearly
correlated, resulting in the limited prediction performances of conventional machine …
correlated, resulting in the limited prediction performances of conventional machine …