Dental implants have to be placed with the long axis in different angulations due to the change in bone morphology. The objective of this study was to investigate the different bone remodeling response induced by the ...
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Dental implants have to be placed with the long axis in different angulations due to the change in bone morphology. The objective of this study was to investigate the different bone remodeling response induced by the tilted dental implants and to assess whether it could lead to bone loss and implant failure. In this study, bone remodeling due to palato-labially inclined dental implants placed in the anterior maxillary incisor region was simulated. CT-based finite element models of a maxillary bone with dental implants were created herein. Five dental implants were placed at , , , and , respectively. The remodeling progression was recorded and compared. Model (palatal side) shows the highest bone density values, but the inclined implant at (labial side) leads to significant bone loss. From a biomechanical perspective, it is speculated that a palatally inclined implant is more likely to enhance the bone density in the maxillary anterior region, but labial inclination of implant could jeopardize its stability.
For a boundary controlled dynamic system, algorithms for solving the problem of tracking reference motion and the problem of tracking reference control are described. The algorithms are robust to information noise and...
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For a boundary controlled dynamic system, algorithms for solving the problem of tracking reference motion and the problem of tracking reference control are described. The algorithms are robust to information noise and computational errors. The solution method is based on the extremal shift method from the theory of positional differential games.
An algorithm for computing the covering constant for the restriction of a linear operator to a cone defined by a finite set of inequalities is proposed. After a finite number of steps, the algorithm reduces the origin...
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An algorithm for computing the covering constant for the restriction of a linear operator to a cone defined by a finite set of inequalities is proposed. After a finite number of steps, the algorithm reduces the original problem to one of finding the eigenvalues of linear operators.
algorithms for determining the gradients and second partial derivatives of hydromechanical parameters when crossing the zone of their jump are considered. It is demonstrated that in this case, the integration steps wi...
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Developing efficient computational algorithms for studying complex phenomena has been a long-standing problem in physics and engineering. One such algorithm, invasion percolation, has found wide applications.
Developing efficient computational algorithms for studying complex phenomena has been a long-standing problem in physics and engineering. One such algorithm, invasion percolation, has found wide applications.
作者：
Dhar, VasantNYU
Stern Sch Business New York NY 10011 USA
Financial markets emanate massive amounts of data from which machines can, in principle, learn to invest with minimal initial guidance from humans. I contrast human and machine strengths and weaknesses in making inves...
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Financial markets emanate massive amounts of data from which machines can, in principle, learn to invest with minimal initial guidance from humans. I contrast human and machine strengths and weaknesses in making investment decisions. The analysis reveals areas in the investment landscape where machines are already very active and those where machines are likely to make significant inroads in the next few years.
The Zakai filtering is applied for tracking of nonlinear time-varying parameters on a physical model describing typical electrodeposition process that is fixed on the bulk solution boundary of diffusion layer and is o...
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The K-closure problem is a famous problem in the field of graph theory, playing an important role in our lives. In this paper, a biological computing algorithm is presented for solving the K-closure problem using DNA ...
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The K-closure problem is a famous problem in the field of graph theory, playing an important role in our lives. In this paper, a biological computing algorithm is presented for solving the K-closure problem using DNA molecular operations. We reasonably design fixed length DNA strands representing different vertices and edges of the graph, take appropriate steps and get the solutions of the K-closure problem in limited length range with O(n(2)) time complexity, which simplifies the complexity of the computation comparing to the previous algorithms.
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