6 research outputs found
DOES PROXIMITY TO WATER BODIES IMPACTS MARKET VALUES OF RESIDENTIAL PROPERTIES? CASE STUDY OF DIYAWANNAWA LAKE AREA
This study examined the impact of water bodies with a scenic view on residential property values around Diyawannawa lake located within Sri Jayewardenepura Kotte Municipal council (a suburban area of Colombo district). The study employed both primary (structural and environmental data related to properties, different types of benefits generated from waterbodies) and secondary data (market evidence) whilst the data analysis included content analysis and a regression analysis (hedonic pricing model). Water bodies with scenic views generate multiple utilities for residents such as observing nature, relaxation, and playing, pleasant views, appreciation of colour and sounds, relationships with family members and neighbors, a place to exercise and cycling, stress relief likewise. According to the study, between 2019-2020, a residential property with a scenic view of 600 or more to Diyawannawa Lake had a premium market value of Rs. 803,433.05 compared to other properties. Furthermore, the residential properties one meter away from such water body showed a decrease in market value of Rs. 23049.65. These findings will raise awareness on the benefits of water bodies with scenic views and it will lead to greater acceptance by residents, developers, local authorities to invest and protect them, which could contribute to overcoming one of the barriers to maintaining such water bodies in good condition.
Keywords: water bodies; residential property; market valu
Metabolomics Analysis of Hormone-Responsive and Triple-Negative Breast Cancer Cell Responses to Paclitaxel Identify Key Metabolic Differences
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Metabolomic data presents challenges for epidemiological meta-analysis: a case study of childhood body mass index from the ECHO consortium
IntroductionMeta-analyses across diverse independent studies provide improved confidence in results. However, within the context of metabolomic epidemiology, meta-analysis investigations are complicated by differences in study design, data acquisition, and other factors that may impact reproducibility.ObjectiveThe objective of this study was to identify maternal blood metabolites during pregnancy (> 24 gestational weeks) related to offspring body mass index (BMI) at age two years through a meta-analysis framework.MethodsWe used adjusted linear regression summary statistics from three cohorts (total N = 1012 mother-child pairs) participating in the NIH Environmental influences on Child Health Outcomes (ECHO) Program. We applied a random-effects meta-analysis framework to regression results and adjusted by false discovery rate (FDR) using the Benjamini-Hochberg procedure.ResultsOnly 20 metabolites were detected in all three cohorts, with an additional 127 metabolites detected in two of three cohorts. Of these 147, 6 maternal metabolites were nominally associated (P < 0.05) with offspring BMI z-scores at age 2 years in a meta-analytic framework including at least two studies: arabinose (Coefmeta = 0.40 [95% CI 0.10,0.70], Pmeta = 9.7 × 10-3), guanidinoacetate (Coefmeta = - 0.28 [- 0.54, - 0.02], Pmeta = 0.033), 3-ureidopropionate (Coefmeta = 0.22 [0.017,0.41], Pmeta = 0.033), 1-methylhistidine (Coefmeta = - 0.18 [- 0.33, - 0.04], Pmeta = 0.011), serine (Coefmeta = - 0.18 [- 0.36, - 0.01], Pmeta = 0.034), and lysine (Coefmeta = - 0.16 [- 0.32, - 0.01], Pmeta = 0.044). No associations were robust to multiple testing correction.ConclusionsDespite including three cohorts with large sample sizes (N > 100), we failed to identify significant metabolite associations after FDR correction. Our investigation demonstrates difficulties in applying epidemiological meta-analysis to clinical metabolomics, emphasizes challenges to reproducibility, and highlights the need for standardized best practices in metabolomic epidemiology