Sentence examples for first time enhancing from inspiring English sources

Yet taken together, the case studies provide a stark contrast between the stated goals of bringing the World Cup to Africa for the first time — enhancing national identity, increasing the visibility and raising the public perception of the continent's most developed nation — and the potential for corruption that accompanies such a huge global sporting event.

She said putting on the kit for the first time enhanced the feeling that the Games were "on the doorstep now".

For the first time, adaptive enhancing factor method combined with edge-based pinning control is adopted to achieve synchronization.

Our study shows for the first time that enhancing excitability of the TP with anodal tDCS normalizes abnormal interictal visual information processing in migraineurs.

In this paper, reduced allyl functionalized graphene was studied for the first time to enhance free radical initiated elastomers.

NiWO4/WO3 heterojunction photoanode was fabricated for the first time to enhance the photoelectrochemical (PEC) performance under visible light irradiation.

Several specialized techniques were combined here for the first time to enhance detection of brainstem activation, mitigate scanner noise, and recover temporal resolution lost by the mitigation technique.

A porous gold electrode fabricated by a simple one-step electro-process was employed for the first time to enhance a label-free immunosensor detection based on electrochemical impedance spectroscopy (EIS).

A dedicated computer documentation system [35] was introduced to integrated headache care for the first time to enhance the process quality and to realize cross-sectional communication between supply partners and the managed care clinic, as well as online documentation, collection of data from chronic headache patients and risk management.

In this part, for the first time we enhance the protein structural class prediction accuracy to over 90% for 25PDB benchmark and 85% for 1189 benchmark.

By applying SVM to our extracted features, for the first time we enhance the protein structural class prediction accuracy to over 90% and 85% for two popular low-homology benchmarks that have been widely used in the literature.