Sentence examples similar to using GIS generally from inspiring English sources

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With respect to the electrolytic salt, cells using LiBF4 generally showed lower durability than cells using tetraethylammonium salt, TEABF4, especially at high operating voltages (>3.5 V).

Segmentation of SPECT images reconstructed using ASR generally produces VOIs that are smaller than the physical extension of the object.

Finally, reactions using SG generally showed poorer reproducibility than those using EG in response to decreasing extension time and elevated dye concentration (data not shown).

Studies which detected HAdV using PCRhave generally reported higher prevalences [ 20, 26, 36] compared to studies which employed EIA [ 23, 37].

Supplementing annotated transcripts with reconstructed transcripts using Cufflinks+RABT generally increases sensitivity (the starts and ends of the arrows in Figure 7 point to the annotated and supplemented sensitivities and precisions, respectively).

Current methods for predicting genes using ESTs generally work by first performing an alignment of expressed sequence tags onto a target genomic region and then combining the alignment results with ab initio gene predictions [ 22].

In addition, the pathogens that can be detected using PCR generally do not cover the full spectrum of potential causes of bacterial meningitis, indicating the continued need of bacterial culture.

Estimates of contemporary effective population size (N e ) using LDNE generally ranged from ca. 250 to > 1,000 in the anadromous trout populations, the exception being SKA, where the point estimate of Ne was 74 (Table  2).

Presently, E. coli is an extensively used GRAS (Generally Recognized As Safe) model microorganism in scientific research and industrial production of recombinant proteins, and S. pombe is an excellent model of eukaryotic cells for studying different questions in cell biology.

At a given NGAM flux, the modes that use ICL generally produce biomass more efficiently than those that do not.

Research using EEG and MEG generally focuses on event-related potentials (ERPs), which are distinct brain responses (generally realized as negative or positive peaks on a graph of neural activity) elicited in response to a particular stimulus.

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