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- Gebresenbet, Girma
(författare)
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Analysis of the concentration of heavy metals in soil, vegetables and water around the bole Lemi industry park, Ethiopia
- 2022
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Ingår i: Heliyon. - : Elsevier BV. - 2405-8440. ; 8
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Tidskriftsartikel (refereegranskat)abstract
- Irrigation water contaminated with industrial waste could pollute the soil and vegetables with heavy metals. The objective of this study was to analyze the concentration of heavy metals in soil and vegetables after irrigation practices with wastewater emanating from industrial parks. 24 samples were collected from 8 sampling stations for vegetable, soil and water samples separately, following APHA procedures. Samples were collected using a composite sampling method in May and June 2021. Water samples were collected using clean polyethylene plastic bottles while soil and vegetables were sampled using clean plastic bags. Analysis was done for heavy metal concentrations such as Pb, Cr, Cd, and Zn for each sample using descriptive statistics of changes in concentrations, one-way analysis of variance (ANOVA), Principal Component Analysis and Pearson Correlation Coefficient. The mean concentration of heavy metals in soil, vegetables, and water samples was analyzed. Unlike the rest of the heavy metal concentrations, the result showed the highest levels for Zn, i.e., 7.82 mg/kg and 5.12 mg/kg for vegetables and soil samples, respectively. The maximum value of the bioconcentration factor (BCF), the highest value of Estimated Daily Intake (EDI), and the maximum Target Cancer Risk (TCR) value recorded were 19.39, 0.001, and 8.09 x 10(-5) for Cd, Zn, and Cr, respectively. But, Hazard Index (HI) indicated no potential health effects. On the other hand, the concentration of heavy metals in the soil sample showed that Cr and Cd were strongly positively correlated with the concentration of Pb in vegetables during May. Cd concentration in the water sample was also strongly positively correlated with the concentration of Pb during May. The application of proper management for the reduction of contaminants, and suitable irrigation methods with treated wastewater is essential. The study can provide a basis for the City Administration of Addis Ababa to properly protect the water quality of rivers and provide a reference for river management around the industry parks across the country.
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- Engelbertsen, Daniel, et al.
(författare)
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IL-1R and MyD88 signalling in CD4+ T cells promote Th17 immunity and atherosclerosis
- 2018
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Ingår i: Cardiovascular Research. - : Oxford University Press (OUP). - 0008-6363 .- 1755-3245. ; 114:1, s. 180-187
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Tidskriftsartikel (refereegranskat)abstract
- The role of CD4+ T cells in atherosclerosis has been shown to be dependent on cytokine cues that regulate lineage commitment into mature T helper sub-sets. In this study, we tested the roles of IL-1R1 and MyD88 signalling in CD4+ T cells in atherosclerosis. Methods and results We transferred apoe-/-myd88\+/\+ or apoe-/-myd88-/- CD4+ T cells to T-A nd B-cell-deficient rag1-/-apoe-/- mice fed high fat diet. Mice given apoe-/-myd88-/- CD4+ T cells exhibited reduced atherosclerosis compared with mice given apoe-/-myd88\+/\+ CD4+ T cells. CD4+ T cells from apoe-/-myd88-/- produced less IL-17 but similar levels of IFN-c. Treatment of human CD4+ T cells with a MyD88 inhibitor inhibited IL-17 secretion in vitro. Transfer of il1r1-/- CD4+ T cells recapitulated the phenotype seen by transfer of myd88-/- CD4+ T cells with reduced lesion development and a reduction in Th17 and IL-17 production compared with wild type CD4+ T cell recipients. Relative collagen content of lesions was reduced in mice receiving il1r1-/- CD4+ T cells. Conclusion We demonstrate that both IL1R and MyD88 signalling in CD4+ T cells promote Th17 immunity, plaque growth and may regulate plaque collagen levels.
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- Ericson, Stefan, et al.
(författare)
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A vision-guided mobile robot for precision agriculture
- 2009
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Ingår i: Proceedings of 7th European Conference on Precision Agriculture. - Wageningen : Wageningen Academic Publishers. - 9789086861132 - 9789086866649 ; , s. 623-630
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Konferensbidrag (refereegranskat)abstract
- In this paper we have developed a mobile robot which is able to perform crop-scale operations using vision as only sensor. The system consists of a row-following system and a visual odometry system. The row following system captures images from a front looking camera on the robot and the crop rows are extracted using Hough transform. Both distance to the rows and heading angle is provided which both are used to control the steering. The visual odometry system uses two cameras in a stereo setup pointing perpendicular to the ground. This system measures the travelled distance by measuring the ground movement and compensate for height variation. Experiments are performed on an artificial field due to the season. The result shows that the visual odometry have accuracy better than 2.1% of travelled distance.
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