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.Surface topography analysis of the mandibular canine enamel with special emphasis on root curvature.
A potential weakness in the etiologic concept of fissure caries is that it may not account for the increase in the area of exposed enamel on the surface of the canines, which are more often affected by caries than any other premolar teeth in children and which possess more buccal than lingual surface. These exposed areas cannot be protected by established preventive measures. The surface topography of the mandibular canine enamel in children was mapped with the aid of a scanning electron microscope to ascertain the contribution of the buccal surface to this surface area. The data for the mandibular canines of patients with low caries activity revealed a fairly even distribution of surface areas. On the other hand, the more caries-active patients with large occlusal surface defects had increased surface areas on the buccal surfaces of their mandibular canines. Furthermore, these are the areas most often demineralized even in those with quite extensive lesions. The increased surface areas were most prominent in those patients who had severe buccal defects in the fissure sealant coverage. The limitations of the study are discussed and the conclusion is reached that the buccal surface area increases with the decline in the mechanical qualities of the enamel-dentin structure. This structural weakness is accentuated by the loss of integrity of the enamel-dentin complex by demineralization at the margins of the exposed areas.Q:
How to NOT use a column in a query with EntityFramework and Dapper?
I have a database table which gets huge after some time because I have to merge all the data in my database (Big Excel file).
Then I got a query to check if there are some new data added so I can merge them and update the Excel file.
// Get all the data from old file
var data = (from df in context.Data_File where df.NewFileId == oldFileId select df).ToList();
// Get all the data from new file
var newData = (from df in context.Data_File where df.
It’s a rough solution, but with some code you can filter the data:
if ”=” in line:
line = line.replace(’=’, ”)
with open(”data.txt”, ”r”) as fp:
for line in fp.readlines():
x = remove_control_cipher_from(line)
You could open it with a path relative to your current working directory if data.txt is within that directory.
Split all input into lines
Filter out lines that do not contain numbers
Trim all except the number
Reassemble all stripped lines
1. Field of the Invention
This invention relates generally to pneumatic drill bits, and more particularly to drill bits of the type which employ two different shaped roller cones and an associated cone nut arranged therebetween.
2. Description of the Prior Art
Prior art drill bits which use two different shaped roller cones are generally impractical to use in drilling. Even though the roller cones have compatible bearing surfaces, the cones must be tightly assembled so that the structural strength is adequate for both supporting the weight of the drill bit and drilling through hard materials, such as concrete, limestone, and the like. Because the cones must be both structurally and sealingly secure, no common means for interconnecting the cones is available, and additional pieces must be added, increasing cost and complexity.
U.S. Pat. No. 4,566,421 discloses a radial bearing roller cutter bit which is constructed of two modified roller cones having different radii. Each cone has a bearing surface with a conical contact area and conical bearing area. The conical bearing areas are of the same size and the contact areas are of different sizes. The outer surfaces of the cones which serve as bearing surfaces are circular and the inner edges of the surfaces which contact are circular. The conical contact areas are generally larger than the bearing areas. This arrangement is unacceptable in hard drilling applications.
U.S. Pat. Nos. 3,856,084 and 4,005,638 both disclose drill bits having bearing surfaces and contact areas on the cones having different diameters.
U.S. Pat. No.