The spatio-temporal distribution of perchlorate in water sources around an ammonium perchlorate production unit and its toxicity response on a dominant aquatic plant, Hydrilla verticillata are reported in this study. Samples (n=453) from ground water (open well) and surface water sources within 5km from the production unit over a period of 12 months (2014, June - 2015, May) were screened for ClO. During the period, ClOconcentration in ground water samples close to the production unit increased to >40,000μg/L, and ClO was detected at 1740μg/L in well water 1.6km away from the production unit. A community pond in the area also showed an increase in ClO level up to 29,000μg/L. In all water sources, ClO level was maximum during the rainy season (July, monsoon). A natural degradation of ClO was not observed in the area as evident from its persistent level and spreading to more areas. H. verticillata, the dominant vegetation in the pond exhibited severe toxic response like massive decay and loss of photosynthetic pigments such as chlorophyll and carotene due to ClO exposure. The plant accumulated ClO up to 600.8mg/kg wet weight with a Bio-Concentration Factor 2.06±0.005. This is the first report on spatio-temporal distribution of ClO at higher levels in a natural environment and its toxicity response to plants under natural condition.
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http://dx.doi.org/10.1016/j.ecoenv.2017.06.053 | DOI Listing |
Hypertension
January 2025
Division of Obstetrics and Gynecology, Institute of Clinical Sciences Lund, Lund University, Sweden. (C.E., F.P., L.E., S.R.H.).
Background: Preeclampsia is a hypertensive pregnancy disorder marked by endothelial damage. Healthy endothelium is covered by a protective glycocalyx layer, which, when degraded, releases detectable products into the blood. Sphingosine-1-phosphate (S1P) is a cardiovascular biomarker involved in glycocalyx preservation, linked to placentation and preeclampsia development.
View Article and Find Full Text PDFFront Plant Sci
January 2025
Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
Three-dimensional (3D) LiDAR is crucial for the autonomous navigation of orchard mobile robots, offering comprehensive and accurate environmental perception. However, the increased richness of information provided by 3D LiDAR also leads to a higher computational burden for point cloud data processing, posing challenges to real-time navigation. To address these issues, this paper proposes a 3D point cloud optimization method based on the octree data structure for autonomous navigation of orchard mobile robots.
View Article and Find Full Text PDFFront Pharmacol
January 2025
Health Economics Unit, School of Public Health, University of Cape Town, Cape Town, South Africa.
Background: The treatment of chronic myeloid leukemia through tyrosine kinase inhibitors (TKIs) has achieved promising efficacy and safety outcomes, however the costs are associated with a substantial economic burden. The objective of this study was to develop a Markov model with a 20-year time horizon to assess the cost effectiveness of TKIs from a public healthcare system perspective in South Africa.
Methods: We constructed a Markov model to compare three strategies in which treatment was initiated with either imatinib, nilotinib, or dasatinib.
Contemp Clin Trials Commun
February 2025
Department of Nursing, School of Nursing, University of Extremadura, Mérida, Spain.
Osteoarthritis (OA) is a major source of chronic pain and disability, representing a significant global health concern that affects 10-15 % of individuals aged over 60, with a higher prevalence among females than males. This investigation aimed to evaluate the impact of a dietary supplement containing collagen peptides (MW 1-3 kDa) on knee OA symptoms and inflammatory biomarkers such as C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR). Adults aged 30-81 years (50 % female) with grade II or III OA and a minimum pain score of 40 on the 0 to 100 visual analogue scale (VAS) were enrolled.
View Article and Find Full Text PDFMDM Policy Pract
January 2025
Centre for Health Economics, University of York, Heslington, York, UK.
Unlabelled: Reducing hospital waiting lists for elective procedures is a policy concern in the National Health Service (NHS) in England. Following growth in waiting lists after COVID-19, the NHS published an elective recovery plan that includes an aim to prioritize patients from deprived areas. We use a previously developed model to estimate the health and health inequality impact under hypothetical targeted versus universal policies to reduce waiting time.
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