Most attentions have been paid to the energy efficiency of an OWC device in the past several decades.
Nevertheless, most attentions only focus on Co-based, Ni-based MOFs and the impedance matching.
However, most attentions were paid to improve local feature extraction with little consideration on the incorporation of global or regional information.
Two dimensional semiconductor such as single-layer transition metal dichalcogenides (SL-TMD) have attracted most attentions as an atomically thin layer semiconductor materials.
Among these strategies, changes in physician and hospital reimbursement draw the most attentions because health service researchers cite financial incentives as a major explanation for the growth of c-sections [54 57].
In the construction of a neural network, most attentions have been paid to the selection of the architecture, the selection of the learning parameters and the network validation while the selection of input variables shared little.
