Journal of Next-Generation Research 5.0
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Degradation of fluorene and phenanthrene in PAHs-contaminated soil using Pseudomonas and Bacillus strains isolated from oil spill sites
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Influence of Epidemiological Context on Knowledge, Attitudes and Practices Related to Plague in Population Living in Endemic Areas in the Central Highlands, Madagascar.
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Pratique théâtrale et approche sociointeractionnelle. Vers plus d'authenticité et de motivation en classe de langue
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Baleen Whale distribution and seasonal occurrence Revealed by an ocean bottom seismometer network in The Western Indian Ocean
No full textInternational audienceFrom the acoustic data acquired by the RHUM-RUM (Réunion Hotspot and Upper Mantle Réunions Unterer Mantel) Ocean Bottom Seismometer (OBS) network between October 2012 and November 2013, this study revealed baleen whale occurrence in the western Indian Ocean (IO). Low-frequency songs from three species (Antarctic Blue Whales, Pygmy Blue Whales and Fin Whales) as well as P-calls (or Spot-calls) from an unknown species were recorded on the dataset. The wide arrangement of the OBS network (2000 km × 2000 km) provided valuable information to draw seasonal patterns of occurrence and distribution all over the area. These species occurred sympatrically in the western IO, at least during austral autumn months emphasizing the importance of this region for these populations. This data set helped to refine the knowledge on their spatio-temporal distribution and complete the picture built by previous studies. A tighter sub-network of 8 OBSs deployed on the South West Indian Ridge provided ideal inter-sensor spacing for whale tracking. We demonstrated the capability of such array of detecting and tracking the three different whale species up to 50 km and for several hours. As a result and to understand the effect of acoustic wave propagation, songs from the tracking were described at a close and remote distance of the sensor. This work could also help to understand the local behavior of these species during austral autumn months in this area of the western Indian Ocean
System Use and User Satisfaction in the Adoption of Electronic Medical Records Systems: A Case of DHIS2 Tracker Implementation in Tanzania
No full textPart 1: Communities, ICT-Enabled Networks, and DevelopmentInternational audienceThe adoption of Electronic Medical Records Systems (EMRs) is on the rise in developing countries due to the need to ensure improved quality of healthcare through client continuum and monitoring and information sharing through collecting detailed, good quality and reliable information overtime. In spite the benefits of EMRs, their success depends on use and satisfaction of users with the system. Recently National Tuberculosis and Leprosy Program of Tanzania adopted an EMRs known as the DHIS2 Tracker to help with case management, improve reporting and reduce lost to follow-up cases.This study therefore aimed to investigate factors influencing use and user satisfaction of DHIS2 Tracker by adapting both the DeLone & McLean Model with the Technology Acceptance Model. The research model consisted of six factors from which an online questionnaire using Google forms was developed and shared with users of the system. In order to assess the relationship between factors, nine hypotheses were developed and multiple regression analysis was conducted.The analyzed data supported five out of nine hypotheses and indicates that system quality and attitude have positive significant influence on both system usage and user satisfaction, while use of the system has a positive significant influence on satisfaction. However, user background and information quality do not have significant influence on either use or satisfaction of DHIS2 Tracker. These findings help implementers understand areas of focus during implementation of DHIS2 Tracker
TREND-RUN model application of surface temperature and its implications for South African forestry and reforestation using local weather services data
No full textInternational audienceTemperature can directly and indirectly impact the livelihood of inhabitants of a country and the natural environment as a whole. The surface temperature trend approximations for South Africa (SA) were calculated using a linear-regression fitting model. The model was adapted at The University of Reunion Island and was referred to as the Trend-Run model. The geophysical signal of the model was split into a sum of oscillations, which was used to clarify most of its variability. The trend values were calculated from the residual terms as a linear function. The model used atmospheric oscillations, which included Annual (AO), Semi-Annual (SAO), Quasi-Biennial Oscillations (QBO), El Niño-Southern Oscillation (ENSO), the 11-years solar cycle-Sun Spot Number (SSN) and Indian Ocean Dipole (IOD). The South African Weather Service (SAWS) data were used for the study. Data sets over a 31-year period, from March 1980 to December 2011, were used to measure the validity of the Trend-Run model, to determine the contribution and effect of this particular oscillation, and the validity of the model. The Trend-Run model showed very high applicability to the surface temperatures in all provinces across the SA region under investigation. High coefficient of determination values between (0.70-0.91) were recorded for surface temperatures across all provinces in the country with minor variations. The AO, ENSO and SAO were the highest contributing forcings in the model, thereby showing their high relevance to the success of this model in the study area. The temperature increases are expected to negatively impact on the biomes of SA, including the forest biome. Selected tree species of Acacia, Eucalyptus and Pinus could be impacted negatively with rising temperatures, which would negatively impact on the forestry industry in SA. As expected, the model did obtain a high success rate that ranged from 70% to 91% in the areas under study, however, there was still room for improvement by the possible inclusion of additional atmospheric forcings to the model that maybe be applicable to the weather and forestry distribution in SA
A discrete duality finite volume method for flow problems with prescribed periodic boundary conditions
No full textChapitre 26 - Transverse Ontology Analysis: What Coviability Means. .
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