Haas, AN, Rosing CK, Oppermann RV, Albandar JM, Susin C.
2009.
Association among menopause, hormone replacement therapy, and periodontal attachment loss in southern Brazilian women, Sep. J Periodontol. 80:1380-7., Number 9
AbstractBACKGROUND: The aim of the present study was to evaluate the association among menopause, hormone replacement therapy (HRT), and periodontal attachment loss (PAL). METHODS: Three hundred twenty-eight women (40 to 69 years old) who participated in a previous oral survey in South Brazil were included. Women who reported not having their monthly menstrual cycles for >or=12 months were classified as postmenopausal. Postmenopausal women were categorized according to HRT. Women with >or=30% teeth with PAL >or=5 mm were classified as having periodontitis. The data were analyzed using a multivariable logistic regression model and adjusted for age, smoking, socioeconomic status, and dental care. RESULTS: The prevalence of periodontitis was significantly greater among postmenopausal women not using HRT (HRT-) than among premenopausal women (64.4% versus 46.3%; P = 0.005). Similarly, the multivariable analysis demonstrated a significantly higher chance of having periodontitis in postmenopausal HRT- women than in premenopausal women (odds ratio [OR], 2.1; 95% confidence interval [CI]: 1.1 to 4.0). In contrast, no significant differences were observed in the prevalence of periodontitis between postmenopausal women using HRT (HRT+) and premenopausal women (48.8% versus 46.3%; P = 0.77). After adjusting for cofactors, postmenopausal HRT+ women did not have a greater likelihood of having periodontitis than premenopausal women (OR, 1.2; 95% CI: 0.6 to 2.5). No significant differences in tooth loss were observed among the study groups after adjusting for confounders. CONCLUSIONS: Postmenopausal HRT- women had a greater chance of having periodontitis than premenopausal women. In contrast, postmenopausal HRT+ women and premenopausal women had similar periodontal status. HRT may have a beneficial effect on periodontal health.
Ryu, C-M, Ahn H-C, Rhee T, Yoon PH, Ziebell LF, Gaelzer R, Vinas AF.
2009.
Simulation of asymmetric solar wind electron distributions, June. Physics of Plasmas. 16:062902., Number 6: AIP
AbstractThe electron distributions detected in the solar wind feature varying degrees of anisotropic high-energy tail. In a recent work the present authors numerically solved the one-dimensional electrostatic weak turbulence equations by assuming that the solar wind electrons are initially composed of thermal core plus field-aligned counterstreaming beams, and demonstrated that a wide variety of asymmetric energetic tail distribution may result. In the present paper, the essential findings in this work are tested by means of full particle-in-cell simulation technique. It is found that the previous results are largely confirmed, thus providing evidence that the paradigm of local electron acceleration to high-energy tail by self-consistently excited Langmuir turbulence may be relevant to the solar wind environment under certain circumstances. However, some discrepancies are found such that the nearly one-sided energetic tail reported in the numerical solution of the weak turbulence kinetic equation is not shown.
dos Silva, NS, Carneiro MLF, Rigon P.
2009.
Animando o bate-papo, 29 mai. 5º Salão de Educação a Distância. , UFRGS, Porto Alegre, RS.
Concei, AGS, Carvalho C, Rohr ER, Porath D, Eckhard D, Pereira LFA.
2009.
A Neural Network Strategy Applied in Autonomous Mobile Localization. European Control Conference 2009. :4439–4444., Budapest: IEEE
AbstractIn this article, a new approach to the problem of indoor navigation based on ultrasonic sensors is presented, where artificial neural networks (ANN) are used to estimate the position and orientation of a mobile robot. This approach proposes the use of three Radial Basis Function (RBF) Networks, where environment maps from an ultrasonic sensor and maps synthetically generated are used to estimate the robot localization. The mobile robot is mainly characterized by its real time operation based on the Matlab/Simulink environment, where the whole necessary tasks for an autonomous navigation are done in a hierarchical and easy reprogramming way. Finally, practical results of real time navigation related to robot localization in a known indoor environment are shown.
Mariath, AA, Haas AN, Fischer CM, de Araujo FB, Rosing CK.
2009.
Professional toothbrushing as a method for diagnosing gingivitis in 3- to 6-year-old preschool children. Oral Health Prev Dent. 7:315-21., Number 4
AbstractPURPOSE: The aim of the present crossover study was to evaluate professional toothbrushing as a method for diagnosing gingivitis in children. MATERIALS AND METHODS: Thirty-four preschool children who had gingival bleeding > or = 10% and without proximal restorations/carious lesions were included in the study. Examinations comprised two gingival indices recorded at a 15-min interval, in the following sequences: the Ainamo and Bay gingival bleeding index (GBI1) followed by the brushing index (BI2) and vice versa (BI1-GBI2). Half of the children started the study in the first sequence and the other half in the second. After a 3- to 4-day washout period, the indices were again recorded with individuals changing the sequences. Data analysis considered GBI as the gold standard, and sensitivity (SE), specificity (SP), positive predictive value (PPV) and negative predictive value (NPV) were also calculated. RESULTS: The overall mean value of gingival bleeding at the first examination was 18.85 +/- 9.24%. Validation of toothbrushing performed after GBI (BI2) resulted in values for SE, SP, PPV and NPV of 0.59 (95% CI, 0.55 to 0.63), 0.92 (95% CI, 0.91 to 0.93), 0.64 (95% CI, 0.60 to 0.69) and 0.90 (95% CI, 0.89 to 0.92), respectively. BI performed before GBI (BI1) resulted in similar SE, SP, PPV and NPV. Percentage agreement of GBI1-BI2 and BI1-GBI2 was 83.5% and 85.9%, respectively. CONCLUSIONS: Professional toothbrushing can be suggested as a method for the diagnosis of gingival inflammatory status in children, especially as an indicator of gingival health.