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In females (N = 1200) the mean CGDI is 53.33 and the range is 10-39.99 in 401 (33.41%) and 40-79.99 in 627 (52.25%) cases.
as Condylar Gonial Displacement Index (CGDI) is taken into account, it is seen that the mean value is nearly 50 on total population as well as on both sides; the ranges 10-39.99 in 42% cases and 40-79.99 in 45%-47% cases are also marked almost same on total population as well as on both right and left sides, which suggest the bilateral symmetry is maintained during closing and opening of the jaw and the position of the Transverse Axis on the Ramus (TAR) nearly at the midway between the condylon and the Midramus Point (MRP).
When the CGDI of males have been compared with that of the females, it reveals that the Transverse Axis on the Ramus (TAR) is presumed to be situated a little above the midway between the condylon and the Midramus Point (MRP), i.e.
Disp and CGDI both in mean values and ranges between right and left sides, suggesting bilateral symmetry during opening of jaw.
CGDI = [Total Score of the Individual Bank./Maximum Possible Score Obtainable by the Bank] x 100
[H.sub.3]: CGDI does not positively affect the performance of selected Banks.
Among the PVT, HDFC Bank is leading with 90.57% of CGDI, followed by Axis Bank and ICICI Bank, whereas Karnataka Bank is at least score, followed by the IndusInd Bank.
BSE Scrip [PVT.sup.2] Code 1 532215 Axis Bank 2 500469 Federal Bank 3 500180 HDFC Bank 4 532174 ICICI Bank 5 532187 IndusInd Bank 6 532652 Karnataka Bank 7 500247 Kotak Mahindra Bank 8 532648 Yes Bank Table 2: Descriptive Statistics Stat N Min Max Range Mean Med PSBs Total Score 10 188 240 52 222.4 226 CGDI 10 70.94 90.57 19.63 83.92 85.3 PVTs Total Score 8 218 240 22 230.4 234 CGDI 8 82.26 90.57 8.31 86.93 88.3 Stat SD Skew Kurt.
These applications use the CGDI to integrate information from distributed sources in real time to address a full range of issues, from disease surveillance to disaster management and Aboriginal land-use planning.
In order to develop the CGDI into an operational asset for decision-makers, such as emergency managers and disaster planners, GeoConnections undertook a process to better understand the needs of decision-makers in the public safety and security community.
Although spatial data infrastructures, such as the CGDI, attempt to reduce many barriers that inhibit information-sharing, such as restrictive data pricing and lack of common standards, limitations still exist.
To achieve national situational awareness for the public safety and security community Spatial Data Infrastructures such as the CGDI can be leveraged.
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