The effects of Moringa stenopetala on blood parameters and histopathology of liver and kidney in mice

Background: Moringa stenopetala and related species are commonly used in folk medicine for various human diseases such as antimalarial, antihypertensive, antidiabetic and as antispasmodic. Objective: The aim of the study is to evaluate the effects of aqueous extract of M. stenopetala on blood parameters, and histopathology of liver and kidney in experimental mice. Methods: Fresh leaves of M. stenopetala were collected from Arbaminch area, Southwest Ethiopia, in November 2005. The leaves were dried and extracted with water. Three month-old Swiss albino male mice, which were kept under uniform laboratory conditions, were randomly divided into four groups (one group of controls and three experimental). (The control group was orally given 0.5 ml of distilled water, and groups II, III and IV were given the aqueous leaf extract of M. stenopetala using intragastric tube to achieve the required doses of 600, 750 and 900 mg/kg body weight, respectively once a day at 24 hours intervals for six weeks and then sacrificed). Blood sample was collected from each mouse and examined for hematological and biochemical parameters. Liver and kidney were removed, stained and examined for histopathological profiles. The effects of treatment with aqueous extract of M. stenopetala on hematological, biochemical and histopathology features were compared with control group following standard procedures. Results: Mice treated with 900 mg/kg of the extract per kg of body weight showed a significant increase in body weight compared to the controls (P=0.014). Neither a significant change in the weight nor in histopathology of liver and kidney were observed in the animals treated with aqueous extract of M. stenopetala compared to those of the controls. Serum glucose level (P=0.034) and serum cholesterol level (P=0.016) decreased significantly after six weeks treatment. Conclusion: The aqueous leaf extract of M. stenopetala is shown to increase body weight and reduce serum glucose and cholesterol level in mice. This indicates nutritional and medicinal values, but we cannot yet recommend its therapeutic use before more and complete studies are done

Assessing the value of climate forecast information for pastoralists: Evidence from southern Ethiopia and northern Kenya

Climatic variability exerts tremendous influence on the livelihoods and well-being of pastoralists who inhabit the arid and semi-arid lands of the Horn of Africa. Recent advances in climate forecasting technologies have raised the intriguing prospect of reasonably accurate forecasts of coming seasons' rainfall patterns. Several donors and governments in the region are keenly interested in these technologies and in developing forecast delivery channels on the assumption that this information will prove valuable to the vulnerable populations it is meant to help not only indirectly, as an input into top-down early warning systems, but also directly, as a basis for improving choice under uncertainty. We explore the value of such external climate forecast information to pastoralists in a large study area spanning southern Ethiopia and northern Kenya using original data collected using both open-ended qualitative methods to identify and understand indigenous climate forecasting methods and quantitative data collected using survey instruments fielded in two rounds, one before and one after the long rains of 2001. The data show that pastoralists rely heavily on indigenous forecasting methods — in terms of having both access to and confidence in these methods — while external forecasts are less commonly received or believed. We elicited pastoralists' subjective, probabilistic expectations of the coming season's rainfall and find that neither use of nor belief in external forecasts causes any appreciable change in respondents' seasonal rainfall expectations. Moreover, relatively few pastoralists act on their own climate expectations, no matter how formed. In sum, climate forecast information does not seem a limiting factor at present in pastoralist communities in the Horn of Africa, not least of which because of the existence of a vibrant and still-relevant tradition of indigenous forecasting

A MEC-based Extended Virtual Sensing for Automotive Services

Multi-access edge computing (MEC) comes with the promise of enabling low-latency applications and of reducing core network load by offloading traffic to edge service instances. Recent standardization efforts, among which the ETSI MEC, have brought about detailed architectures for the MEC. Leveraging the ETSI model, in this paper we first present a flexible, yet full-fledged, MEC architecture that is compliant with the standard specifications. We then use such architecture, along with the popular OpenAir Interface (OAI), for the support of automotive services with very tight latency requirements. We focus in particular on the Extended Virtual Sensing (EVS) services, which aim at enhancing the sensor measurements aboard vehicles with the data collected by the network infrastructure, and exploit this information to achieve better safety and improved passengers/driver comfort. For the sake of concreteness, we select the intersection control as an EVS service and present its design and implementation within the MEC platform. Experimental measurements obtained through our testbed show the excellent performance of the MEC EVS service against its equivalent cloud-based implementation, proving the need for MEC to support critical automotive services, as well as the benefits of the solution we designed.This work was supported by the European Commission through the H2020 5G-TRANSFORMER project (Project ID 761536). The work of Christian Vitale was also supported by the European Union’s Horizon 2020 Research and Innovation Programme under Grant 739551 (KIOS CoE) and from the Republic of Cyprus through the Directorate General for Euro-pean Programmes, Coordination, and Development