Potensi Keanekaragaman Satwaliar Untuk Pengembangan Ekowisata Di Laboratorium Lapangan Konservasi Sumberdaya Hutan Dan Ekowisata Hutan Pendidikan Unhas

This study aims to determine the potential of wildlife diversity that can be developed as an ecotourism attraction in the Field Laboratory of Forest Resources Conservation and Ecotourism, Unhas Educational Forest. The data was collected by survey method using the line transect method and concentration point count method. Data were analyzed to determine the ecological indices, ie; Richness Indices, Evenness Indices, and Diversity Indices. The results showed that Field Laboratory of Forest Resources Conservation and Ecotourism, have the wild life of mammals, birds, insects, reptiles and frogs that have the potential to be used in the development of ecotourism. The wildlife to be developed as an ecotourism attraction, are the Sulawesi Black Monkey, Tarsier, Couscous, Sulawesi Civets, Deer and Wild Boar, as well as a variety of birds, reptiles and frogs

ADC Histogram Parameters of High- and Low-Grade of NSCLC.

<p>ADC Histogram Parameters of High- and Low-Grade of NSCLC.</p

ADC Histogram Parameters of High- and Low-Grade of NSCLC.

<p>ADC Histogram Parameters of High- and Low-Grade of NSCLC.</p

NSCLC Patient and Tumor Characteristics.

<p>NSCLC Patient and Tumor Characteristics.</p

ADC Histogram Parameters of Pathologic Grades of NSCLC.

<p>ADC Histogram Parameters of Pathologic Grades of NSCLC.</p

A 67-year-old woman with adenocarcinoma of the right upper lobe.

<p>The outline of the tumor is drawn on the axial low-b value DW image (b = 0 s/mm²) (A). The tumor's boundaries are meticulously identified with reference to the coronal and sagittal reformatted DW images (B, C). The data acquired from each slice are summed to generate volumes of interest (VOIs) (D). The contours of the VOI are automatically copied to the exact same location of the corresponding ADC maps.</p

ROC curve of skewness in predicting pleural invasion.

<p>The AUC of the skewness was 0.648 (cut-off value 0.824×10⁻⁶ mm²/sec, sensitivity 60.0%, specificity 73.3%) in predicting pleural invasion.</p

ROC curves of percentiles of ADC in predicting high-grade.

<p>The AUC was highest for the 95th percentile ADC (AUC = 0.74, cut-off value of 1634.1 × 10⁻⁶ mm²/sec, sensitivity 84.6%, specificity 66.7%).</p

ADC Histogram Parameters of Lymphovascular Invasion and Pleural Invasion of NSCLC.

<p>ADC Histogram Parameters of Lymphovascular Invasion and Pleural Invasion of NSCLC.</p