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A US multi-site study on welfare, families and children, found GIS generated mapping was insufficient, and ethnographic data was needed to complement and understand details about the cultural meanings of place and the political and sociocultural influences on the daily lives of families.
A similar result was reported by Žitnik et al. (2013): they found GIs to be the most informative data source in prediction of disease disease associations.
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It is noteworthy that 4 of the 9 orc genes on the main chromosome (orc4, orc11, orc14, and orc15) are found in GIs rich in IS elements.
We have found that GIS capabilities facilitate community engagement because they provide the opportunity on the spot to create maps with multiple features in response to stakeholder concerns.
In our prior work, we have found our GIS-based estimates to be very similar to concentrations found from direct measurement [ 35].
Thus, we performed ChIP using anti-RELA and anti-p53 antibodies and found that the GIS region was occupied by both RELA and p53 in vivo.
In the case of leishmaniasis, geographic information systems (GIS) found associations between epidemiological components of the disease (sand flies, human and canine cases) and environmental features (vegetation, sanitation, and altitude) [ 22– 25].
Detailed criteria for the proposed nomenclature are as follows: Any GIs found at the same relative GI locations and containing the same gene contents will be given the same name as the GIs previously identified in K96243.
For this purpose, phylogenetic trees were reconstructed with sequences from 20 Bacteroidetes genomes based on RpoB and EF-Tu gene sequences, which are found in HR1-GIs, as well as the 16S rRNA.
Neighbourhood statistics, coupled to a GIS, were found to be an effective way of quantifying and visualizing spatial variation in environmental geochemistry.
Sonohysterography (SHG; also called saline infusion sonography (SIS) or gel infusion sonography (GIS)) was found to be as effective as HSG, with both reported to have a sensitivity of 75% and positive predictive value of 43% for SHG or SIS/GIS and 50% for HSG, compared with hysteroscopy [10, 13].
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