Carved with linear designs and remains of black and white pigment, the mouth is square and protruding. The white color and low ridge crest indicates this mask is ""female"" in gender.
Female masks are primarily white, forms are restrained and elegant with striated surfaces. Their function was to awaken and honor benevolent spirits. Holes for fiber attachments around the edges. The plant-fiber fringe is still attached along the bottom online dating red pill appears to be completely original. Overall in excellent condition with expected and very desirable wear from extensive tribal use.
Experienced collectors will appreciate the fine quality and age of this exceptional artifact. With wear patterns and perspiration staining in all the right places, this mask could easily be the centerpiece of any collection.
Meanwhile, many Americans continue to face change in their homes, bank accounts and jobs. Only time will tell if the latest wave of change Americans voted for in the midterm elections will result in a negative or positive outcome. This rare word was chosen to represent because it described so much of the world around us. Tergiversate means ""to change repeatedly one's attitude or opinions with respect to a cause, subject, etc.
And so, we named tergiversate the Word of the Year. In a year known for the Occupy movement and what became known as the Arab Spring, our lexicographers chose bluster as their Word of the Year for Here's an excerpt from our release that year that gives a pretty online dating red pill explanation for our choice:.
Using the models described above, we calculated the ICC for active treatment i. To determine how hospital practices regarding the initiation of active treatment in extremely preterm infants relate to the outcomes of survival and survival without impairment by gestational age at birth, we compared pairs of multilevel logistic-regression models for each of the three specified outcomes.
Each pair of models consisted of one model that included the hospital rate of active treatment percentage of infants at a given hospital who received active treatment as a second-level predictor and one model that did not; the ICC was calculated for each model. For each participating hospital, risk-adjusted outcomes were calculated on the basis of these models by means of the marginal method of regression adjustment. In addition, we considered the possibility that hospital volume may explain some of the between-hospital variation in outcomes; this possibility has been proposed previously.
All other analyses were performed using SAS software, version 9.