Pengaruh Infusa Buah Mengkudu (Morinda Citrifolia, L.) terhadap Kadar Glukosa Darah Tikus Putih Jantan Galur Wistar yang Dibebani Glukosa

Telah dilakukan penelitian terhadap pengaruh infusa buah mengkudu (Morinda Citrifolia, L.) terhadap penurunan kadar glukosa darah yang dibebankan pada tikus normal. Penelitian ini menggunakan uji toleransi oral, dengan cara membebani tikus normal yang telah dipuasakan 12-18 jam dengan glukosa. Berat badan tikus yang digunakan 150-200 g, jantan, umur 2-3 bulan. Tikus dibagi menjadi lima kelompok, antara lain kelompok kontrol negatif (CMC Na 1%), kelompok kontrol positif ( Glibenklamid dosis 1,89 mg/kg BB), kelompok infusa buah mengkudu dengan tiga peringkat dosis yaitu: 1,22 mg/kg BB; 2,44 mg/kg BB; 4,89 mg/kg BB. Pemberian glukosa pada pembebanan adalah 2 g/kg BB. Darah diambil dari vena lateralis ekor pada menit ke-0, 30, 60, 120, 180, 240, 300, dihitung dari saat pemberian glukosa. Kadar glukosa darah ditetapkan secara enzimatik dengan reagen GOD PAP. Data AUC0-300 dianalisis dengan uji anova satu jalan dengan taraf kepercayaan 95% dan kemudian dilanjutkan dengan uji LSD. Uji anova satu jalan terhadap AUC0-300 memberikan nilai yang signifikan atau ada perbedaan yang bermakna antara control negatif terhadap perlakuan (control positif dank e-3 dosis mengkudu). Persen daya hipoglikemik yang didapat Infusa buah mengkudu (Morinda citrifolia L.) pada dosis 1,22; 2,44; 4,89 g/kg BB menunjukkan efek hipoglikemik sebesar 32,50 %; 31,68 %; 27,47 %

Area of each prediction level and its percentage representation in the study area based on the relative occurrence index (ROI).

<p>Area of each prediction level and its percentage representation in the study area based on the relative occurrence index (ROI).</p

Partial dependence plots for predictor variables employed in the daytime resting site selection model; (A) distance to wetland (m), (B) distance to farmland (m), and (C) distance to road (m).

<p>Partial dependence plots for predictor variables employed in the daytime resting site selection model; (A) distance to wetland (m), (B) distance to farmland (m), and (C) distance to road (m).</p

A prediction model map of Hooded Crane daytime resting sites in the study area.

<p>A prediction model map of Hooded Crane daytime resting sites in the study area.</p

MOESM1 of Ecological niche modeling of rabies in the changing Arctic of Alaska

Additional file 1. Public health impact of rabies in Alaska. This file contains information on the historic public heath impact of rabies in Alaska to put our findings into an appropriate context of One Health

MOESM4 of Ecological niche modeling of rabies in the changing Arctic of Alaska

Additional file 4. TreeNet model summary statistics for pooled rabies locations. This file contains summary statistics for the best performing model developed in this studies. It includes partial dependence plots for the three most important predictors in the model (distance to infrastructure, Elevation, and distance to coast), genral Average likelihood statistics and a Gains chart for 104 trees

The habitat selection index for Hooded Cranes in each type of feeding sites.

<p>The habitat selection index was calculated as the percentage of flocks using a given type of feeding area divided by the percentage of the available area of the same type.</p

The importance ranks of the variables used to predict Hooded Crane habitat selection in TreeNet (the roosting site, the daytime resting site, and the feeding site).

<p>The importance ranks of the variables used to predict Hooded Crane habitat selection in TreeNet (the roosting site, the daytime resting site, and the feeding site).</p

Predictor variables used for developing habitat selection models in TreeNet.

<p>“R”, “D”, and “F” correspond to roosting sites, daytime resting sites, and feeding sites, respectively.</p

Map of the study area and habitat.

<p>This map was created in ArcGIS 10.1 by combining the visual interpretation of a remote sensing image (pixel size resolution of 2×2 m, downloaded from Google Maps; image taken in September, 2010) and our field observations.</p