Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya

The Mugling–Narayanghat road section falls within the Lesser Himalaya and Siwalik zones of Central Nepal Himalaya and is highly deformed by the presence of numerous faults and folds. Over the years, this road section and its surrounding area have experienced repeated landslide activities. For that reason, landslide susceptibility zonation is essential for roadside slope disaster management and for planning further development activities. The main goal of this study was to investigate the application of the frequency ratio (FR), statistical index (SI), and weights-of-evidence (WoE) approaches for landslide susceptibility mapping of this road section and its surrounding area. For this purpose, the input layers of the landslide conditioning factors were prepared in the first stage. A landslide inventory map was prepared using earlier reports, aerial photographs interpretation, and multiple field surveys. A total of 438 landslide locations were detected. Out these, 295 (67 %) landslides were randomly selected as training data for the modeling using FR, SI, and WoE models and the remaining 143 (33 %) were used for the validation purposes. The landslide conditioning factors considered for the study area are slope gradient, slope aspect, plan curvature, altitude, stream power index, topographic wetness index, lithology, land use, distance from faults, distance from rivers, and distance from highway. The results were validated using area under the curve (AUC) analysis. From the analysis, it is seen that the FR model with a success rate of 76.8 % and predictive accuracy of 75.4 % performs better than WoE (success rate, 75.6 %; predictive accuracy, 74.9 %) and SI (success rate, 75.5 %; predictive accuracy, 74.6 %) models. Overall, all the models showed almost similar results. The resultant susceptibility maps can be useful for general land use planning

Bioinformatics for the human microbiome project

Microbes inhabit virtually all sites of the human body, yet we know very little about the role they play in our health. In recent years, there has been increasing interest in studying human-associated microbial communities, particularly since microbial dysbioses have now been implicated in a number of human diseases [1]–[3]. Dysbiosis, the disruption of the normal microbial community structure, however, is impossible to define without first establishing what “normal microbial community structure” means within the healthy human microbiome. Recent advances in sequencing technologies have made it feasible to perform large-scale studies of microbial communities, providing the tools necessary to begin to address this question [4], [5]. This led to the implementation of the Human Microbiome Project (HMP) in 2007, an initiative funded by the National Institutes of Health Roadmap for Biomedical Research and constructed as a large, genome-scale community research project [6]. Any such project must plan for data analysis, computational methods development, and the public availability of tools and data; here, we provide an overview of the corresponding bioinformatics organization, history, and results from the HMP (Figure 1).National Institutes of Health (U.S.) (NIH U54HG004969)National Institutes of Health (U.S.) (grant R01HG004885)National Institutes of Health (U.S.) (grant R01HG005975)National Institutes of Health (U.S.) (grant R01HG005969

May measurement month 2018: an analysis of blood pressure screening results from Nepal.

Raised blood pressure (BP) is a leading risk factor for mortality globally and in Nepal. May Measurement Month (MMM) is a global initiative aimed at screening for hypertension and raising awareness on high BP worldwide. This study provides the results of the 2018 MMM (MMM18) in Nepal. An opportunistic cross-sectional survey of volunteers aged ≥18 years was carried out in May 2018 nationwide. The standard MMM protocol was followed for BP measurement, the definition of hypertension, and statistical analysis. The campaign was publicized through various social media for recruiting volunteers and inviting participation. A total of 15 561 (58.7% male) from 35 districts of Nepal were screened in MMM18, of which 4 321 (27.8%) had hypertension. A total of 2 633 (19.0%) of 13 873 individuals who were not on antihypertensive treatment were found to be hypertensive. Of those on medication, 799 (47.4%) had uncontrolled BP. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were significantly higher in people on antihypertensive treatment, smokers, and alcohol drinkers compared with those who were not on antihypertensive treatment, smokers, and alcohol drinkers, respectively. Likewise, SBP and DBP steadily increased across increasing body mass index categories. MMM18 was the largest BP screening campaign undertaken in Nepal. MMM has highlighted the importance of a periodic public health program at the national level to increase awareness on hypertension detection and control rate, and thus, the prevention of cardiovascular diseases

Screening of traditionally used Tanzanian medicinal plants for antifungal activity

Kisangau DP, Hosea KM, Lyaruu HVM, et al. Screening of traditionally used Tanzanian medicinal plants for antifungal activity. PHARMACEUTICAL BIOLOGY. 2009;47(8):708-716.Fungal infections represent a significant cause of morbidity and mortality especially in immunocompromised patients in the world today. Dichloromethane (DM) and aqueous (W) extracts of nine plants used traditionally for the treatment of fungal infections in Bukoba rural district in Tanzania were screened for antifungal activity against Candida albicans, Cryptococcus neoformans, and Aspergillus niger using agar well and disk diffusion methods. Dichloromethane extracts of Capparis erythrocorpos [CE] Isert (Capparaceae), Cussonia arborea [CA] Hochst. Ex A. Rich (Araliaceae), Drocaena steudneri [DS] Engl. (Dracaenaceae), Lannea schimperi [LS] (A. Rich) Engl. (Anacardiaceae), Rouvolfia vomitoria [RV] Afz (Apocynaceae), and Sapium ellipticum [SE] (Krauss) Pax (Euphorbiaceae) showed activity against all three fungi. Extracts of Rumex usambarensis [RU] (Dammer) Dammer (Polygonaceae) and Zehneria scabro [ZS] (L.f.) Sond. (Cucurbitaceae) had an activity limited to only one or two of the test organisms. Rhoicissus tridentata [RT] (L.Q Wild & Drum (Vitaceae) was the only plant without activity. Fractions of the active extracts CE, CA, DS, LS, and SE exhibited higher antifungal activity against one or more of the three fungi. Four compounds isolated from S. ellipticum also exhibited antifungal activity against one or more of the three fungi. The minimum inhibitory concentrations (MICs) and minimum fungicidal concentrations (MFCs), determined using the microplate assay method, ranged between 0.4 and 50.0 mu g/mL for crude extracts, 1.6 and 50.0 mu g/mL for semi-purified fractions, and 0.12 and 1.0 mu g/mL for pure compounds, as compared to 0.016-1.5 mu g/mL for fluconazole. We confirm the potential of traditionally used plants as a source of new drugs for treatment of fungal infections