careful treatment planning, space management, augmentation of bone and attention to the details of implant surgical and prosthetic techniques are important factors when treating anterior maxilla specially replacement of missing teeth. this case report addresses a chair-side ridge augmentation procedure using autograft bone harvested with trephine drills and placed without using screws and the f...

Unless we look anew at agriculture in terms of the balances between wider benefits and impacts and link this to current and future societal drivers, we will continue to pay lip service to the concept of sustainability without ever developing ways to achieve it, they argue. Part of the problem in facing the future is the remarkable past achievements. In recent decades there has been a huge growt...

a new design for replacing a missing anterior tooth is described. in this article, a lingually fixed partial denture, its advantages, disadvantages, indication and contraindications have been explained. the ability of this design to replace a single missing central or lateral incisor is discussed.

a model for missing data in mixed binary and continuous responses, which can be used on cross-sectional data, is presented. in this model response indicator for the binary response can be dependent on the continuous response. a closed form for the likelihood is found. for data with a complicated pattern of missing responses some new residuals are also proposed. the model of multiplicative heter...

The Žring reliability and precision of an isopotential membrane patch consisting of a realistically large number of ion channels is investigated using a stochastic Hodgkin-Huxley (HH) model. In sharp contrast to the deterministic HH model, the biophysically inspired stochastic model reproduces qualitatively the different reliability and precision characteristics of spike Žring in response to DC...

In this article, we stress the need for using dy-namical systems properties in autonomous architecture design. We rst study the dynamics of random recurrent neural networks (RRNN). Such systems are known to spontaneously exhibits various dynamical regimes, as they always tries to remain on an attractor, thus achieving stable dy-namical behaviors. Second, we try to characterize the adaptive prop...