No abstract

In Nepal, the red panda (Ailurus fulgens) has been sparsely studied, although its range covers a wide area. The present study was carried out in the previously untapped Chitwan-Annapurna Landscape (CHAL) situated in central Nepal with an aim to explore current distributional status and identify key habitat use. Extensive field surveys conducted in 10 red panda range districts were used to estimate species distribution by presence-absence occupancy modeling and to predict distribution by presence-only modeling. The presence of red pandas was recorded in five districts: Rasuwa, Nuwakot, Myagdi, Baglung and Dhading. The predictive distribution model indicated that 1,904.44 km2 of potential red panda habitat is available in CHAL with the protected area covering nearly 41% of the total habitat. The habitat suitability analysis based on the probability of occurrence showed only 16.58% (A = 315.81 km2) of the total potential habitat is highly suitable. Red Panda occupancy was estimated to be around 0.0667, indicating nearly 7% (218 km2) of the total habitat is occupied with an average detection probability of 0.4482±0.377. Based on the habitat use analysis, altogether eight variables including elevation, slope, aspect, proximity to water sources, bamboo abundance, height, cover, and seasonal precipitation were observed to have significant roles in the distribution of red pandas. In addition, 25 tree species were documented from red panda sign plots out of 165 species recorded in the survey area. Most common was Betula utilis followed by Rhododendron spp. and Abies spectabilis. The extirpation of red pandas in previously reported areas indicates a need for immediate action for the long-term conservation of this species in CHAL.

The Red Panda Ailurus fulgens Cuvier, 1825 is a shy and charismatic mammal occurring in Asia. It is an exceptional member of the order Carnivora as it is nearly entirely herbivorous, living largely on a diet of leaves and shoots of bamboo, berries, mushrooms (Yonzon & Hunter 1991;Pradhan et al. 2001) and occasionally small mammals, birds, eggs, insects, blossoms and acorns (Johnson et al. 1988). The IUCN Red List of Threatened Species classifies the Red Panda currently as 'Vulnerable' (Wang et al. 2008). This animal is found

Background Inappropriate C. difficile testing has adverse consequences for the patient, hospital, and public health. Computerized Clinical Decision Supports (CCDS) in the Electronic Health Record (EHR) may reduce C. difficile test ordering; however, effectiveness of different approaches, ease of use, and best fit into the healthcare providers’ (HCP) workflow, are not well understood. Methods Nine academic and 6 community U.S. hospitals participated in this 2-year cohort study. CCDS (hard- or soft-stop) triggered when duplicate C. difficile test order attempted, or if laxatives were recently received. The primary outcome was the difference in testing rates pre- and post-CCDS interventions, using incident rate ratios (IRR) and mixed effect Poisson regression models. We performed qualitative evaluation (contextual inquiry, interviews, focus groups) based on a human factors model. We identified themes using a codebook with primary- and sub-nodes. Results In 9 hospitals implementing hard-stop CCDS and 4 hospitals implementing soft-stop CCDS, C. difficile testing IRR reduction was 33% (95% CI, 30-36%), and 23% (95% CI 21-25%), respectively. Two hospitals implemented a non-EMR based human intervention with IRR reduction of 21% (95% CI 15-28%). HCPs reported generally favorable experiences, and highlighted time efficiencies such as inclusion of the patients most recent laxative administration on the CCDS. Organizational factors including hierarchical cultures, and communication between HCPs caring for the same patient, impact CCDS acceptance and integration. Conclusions CCDS reduced unnecessary C. difficile testing and were perceived positively by HCPs when integrated into their workflow, and when displayed relevant patient specific information needed for decision-making.