Average Attrition Index of lower molar at Different Ages.

<p>Average Attrition Index of lower molar at Different Ages.</p

Simulation time of tooth wear.

<p>Simulation time of tooth wear.</p

Average Attrition Index of lower molar after normalization.

<p>Average Attrition Index of lower molar after normalization.</p

Construction of the homogeneous attrition surface.

<p>a. surface without attrition <i>S</i>₀ [16594 points/32894 triangles] and feature points set; b. initial homogeneous surface <i>S</i>_<i>h</i>; c. homogeneous attrition surface after three iterations of contraction and bounding; d. attrition surface <i>S</i>₁ and feature points set; e. error distribution between <i>S</i>_<i>h</i> and <i>S</i>₁; f. error distribution between <i>S</i>₁ and homogeneous attrition surface after three iterations of contraction and bounding.</p

Feature alignment before and after attrition.

<p>The yellow area is a selective alignment area, the blue area is occlusal surface </p><p></p><p></p><p></p><p><mi>S</mi></p><p><mn>0</mn></p><p><mi>h</mi></p><p></p><p></p><p></p> before attrition and the green area is occlusal surface <p></p><p></p><p></p><p><mi>S</mi></p><p><mn>1</mn></p><p><mi>h</mi></p><p></p><p></p><p></p> after attrition.<p></p

Feature points of tooth morphology.

<p>a. lower molar model [point 16594/Δ32894]; b. attrition model of first molar [point 14491/Δ28738]; c. simplified feature model [point 152/Δ212]; d. feature points marked [point 152/Δ212].</p

Dynamic distribution curve of attrition.

<p>Dynamic distribution curve of attrition.</p

Linear attrition process simulation for the mandibular first molar attrition.

<p>a. tooth surface before attrition; b-f. tooth wear surface with parameter <i>u</i> from 0.2 to 0.8; g. tooth wear surface with parameter <i>u</i> = 1.0. The color from yellow to red shows the distribution area and degree of wear.</p

Simulation of the tooth wear process includes four stages: data acquisition, feature identification, construction of homogeneous surface and generation of attrition process model.

<p>Simulation of the tooth wear process includes four stages: data acquisition, feature identification, construction of homogeneous surface and generation of attrition process model.</p

Prognostic Value of Red Blood Cell Distribution Width in Non-Cardiovascular Critically or Acutely Patients: A Systematic Review

<div><p>Background</p><p>RDW (red cell distribution width) has been reported to been associated with the prognosis of patients with cardiovascular diseases. However, RDW is often overlooked by clinicians in treating patients with non-cardiovascular diseases, especially in an emergency. The objective of this systematic review is to explore the prognostic value of RDW in non-cardiovascular emergencies.</p><p>Methods</p><p>PubMed, EMBASE, and the Cochrane Central Register of Controlled Trials were systematically searched from their inception to December 31, 2015. We included studies examining the relationship between RDW and mortality rate by adjusting important covariables in non-cardiovascular emergencies. All included studies were divided into three groups. Group A: general critically ill patients; Group B: patients with infectious disease; Group C: other conditions. We extracted each study’ characteristics, outcomes, covariables, and other items independently.</p><p>Results</p><p>A total of 32 studies were eligible for inclusion in our meta-analysis. Six studies belonged to Group A, 9 studies belonged to Group B and 17 studies belonged to Group C. Among these included studies, RDW was assessed as a continuous variable (per 1% increase) in 16 studies, as a binary variable in 8 studies, and as a categorical variable in 8 studies. In addition, AUCs (area under the receiver operating characteristic curve) of RDW for predicting mortality were reported in 25 studies. All studies were published between 2011–2015. The qualities of included 32 studies were moderate or high.</p><p>Conclusion</p><p>The present systematic review indicates that the increased RDW is significantly associated with a higher mortality rate in an non-cardiovascular emergency. The low cost and readily accessible of this laboratory variable may strengthen its usefulness in daily practice in the future.</p></div