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Integrating catalytic processes of lignocellulosic biomass potentially paves a new way for the development of jet fuels over inexpensive catalysts under the mild condition.
Electrochemical conversion of carbon dioxide with nitrate ions into useful material consisting of CN bond under the mild condition has attracted much attention.
In the present section, we show that, under the mild condition, that is, the relaxed cocoercivity, the main results in the papers [20, 28, 33, 47] still hold.
(1) Qin and Noor in Remark 3.2 [47] claimed that Theorem 7.9 is obtained under the mild condition relaxed cocoercivity of the operators g and A. But, in view of the above facts, their results are obtained under the condition strongly monotonicity of the operators g and A not under the mild condition relaxed cocoercivity.
Therefore, Noor et al. [44] proved the strongly convergence of the iterative sequence {z n } generated by Algorithm 7.5, under the condition strongly monotonicity of the operators T and g, not under the mild condition relaxed cocoercivity.
We mainly consider the ASCLT of the maximum of stationary Gaussian vector sequence satisfying (1.4), under the mild condition (1.6), which is crucial to consider other versions of the ASCLT such as that of the maximum of non-stationary strongly dependent sequence and the function of the maximum.
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The catalytic reactions under the mild conditions without heat and electrical and thermal energies are encouraging for green synthesis.
Under the mild conditions, the incorporation level of 10-undecen-1-ol reached 13.9 mol% in the resultant copolymers was obtained.
Some of them showed highly efficient abilities in the degradation of plasmid and genomic DNA under the mild conditions without obvious impairment on the proteins' bioactivities, when compared with frequently applied nucleic acids removal reagents or precipitants.
Ethylenediamine (EDA) gives better extraction efficiency under the mild conditions (60 80 °C and 1 atm).
Under the mild conditions, the convergence property studied in this paper shows that the global optimal solution of the perturbed problem converges to the original solutions of the MPCC problem.
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