Exposure Distribution Research Articles

Impact of pollen exposure and age distribution on diagnostic tests for safe introduction of various nuts in patients with a primary nut allergy

Introduction ( contexte de la recherche ) The performance of nuts skin prick-test (SPT) and specific IgE is known to potentially be altered by the cross-reactivity with pollens. This can result in misguidance for safe introduction of nuts in patients allergic to one or multiple nuts. We sought to evaluate the impact of pollen sensitization related to the patients age and his geographical area under the nuts diagnostic tests performance in patients with a primary nut allergy. We analyzed paraclinical data from a prospective multicenter pan-European study (the Pronuts study) including SPT and specific IgE (whole extract and major allergens) for nuts, sesame seed and pollens (Bet v 1 and Pru p 3) from allergic patients with a primary nut allergy. To analyze the performance of the tests, we made ROC curves using these variables. One hundred and twenty children were enrolled. Sensitization to Bet v 1 and PR-10 nuts components (Ara h 8 and Cor a 1) were more prevalent and significantly higher in Geneva and London than in Spain, whereas sensitization to Pru p 3 and LTP nuts components (Ara h 9, Cor a 8, Jug r 3) were more prevalent and had higher specific IgE levels in Spain. Specific IgE to PR-10s and LTP nuts components were significantly higher in older patients (≥ 6 years) than in younger children. Levels of specific IgE to nuts seed storage proteins tended to be higher in patients ≥ 6 years compared to younger children. Concerning the performance of the diagnostic tests, in children older than 6 years, specific IgE to Ara h 2 performed significantly better than peanut SPT. Similarly, the AUC for SPT to hazelnut was larger in younger children. However, specific IgE to Cor a 9 and Cor a 14 performed better than hazelnut SPT in children older than 6 years of age in Geneva and London, respectively. For cashew and walnut, no clear differences were found between the AUC for SPT, IgE or components based on age categories. For safe introduction of various nuts in patients diagnosed with a primary nut allergy, the diagnostic strategy needs to be adapted to the local pollen exposure, especially in older children, as sensitization to Bet v1 or Pru p3 may lead to false positive IgE or SPT results to various nuts.

From data to decisions – Quality assurance in radon policy

Radon abatement policy is the response to the detrimental effect of indoor radon which is estimated to cause hundred thousands of lung cancer fatalities worldwide annually. The policy consists of decisions to implement measures. Decisions rest on data and (sometimes competing) interests, among them health protection. Its weight as an argument depends, among other factors, on knowledge about its subject – in this case, levels, effects, and geographical distribution of exposure to radon. Therefore, the quality assurance of radon policy depends on one of the underlying knowledge, from data to decisions derived from them. Some aspects of the quality assurance chain are discussed in this article.

Use of Site-Specific Data for Modeling Selenium Bioaccumulation by Terrestrial Animals.

We developed a bioaccumulation model from an extensive set of monitoring data to predict selenium (Se) concentrations in biota within a terrestrial system (Kesterson Reservoir, CA). The model uses water-extractable Se and total Se concentrations in soil to estimate the expected mean and ranges of Se concentrations in biota at Kesterson for future scenarios. Biological monitoring data collected at Kesterson from 1989 to 1994 were used to parameterize the initial model. The model was tested and updated with additional sample results from 1995 through 2001 biological monitoring and validated and calibrated using Se concentrations from sampling conducted in 2004 and 2006. Minor adjustments were made to the model based on each additional year's results, and the model was used in 2014 to assess whether there were continuing threats to wildlife at Kesterson. The model predicts Se concentrations in small mammals, bird blood, and bird eggs in common species found at Kesterson. This model was used for the final assessment of Kesterson in 2014 and performed well, but there was variability in results, probably due to differences in individual diets and feeding ranges of animals. The model has been further refined since 2014, as we describe here. The model performs well for predicting central tendency and is conservative as the predicted upper limits of the biotic exposure distributions were mostly similar or higher than the measured. The trophic and tissue transfer factors and regression equations should be applicable to other Se-contaminated sites; adjusting weighting factors based on diet and range allows the model to be adapted and used at other sites.

Characterising spatial patterns of neglected tropical disease transmission using integrated sero-surveillance in Northern Ghana.

BackgroundAs prevalence decreases in pre-elimination settings, identifying the spatial distribution of remaining infections to target control measures becomes increasingly challenging. By measuring multiple antibody responses indicative of past exposure to different pathogens, integrated serological surveys enable simultaneous characterisation of residual transmission of multiple pathogens.Methodology/Principal findingsHere, we combine integrated serological surveys with geostatistical modelling and remote sensing-derived environmental data to estimate the spatial distribution of exposure to multiple diseases in children in Northern Ghana. The study utilised the trachoma surveillance survey platform (cross-sectional two-stage cluster-sampled surveys) to collect information on additional identified diseases at different stages of elimination with minimal additional cost. Geostatistical modelling of serological data allowed identification of areas with high probabilities of recent exposure to diseases of interest, including areas previously unknown to control programmes. We additionally demonstrate how serological surveys can be used to identify areas with exposure to multiple diseases and to prioritise areas with high uncertainty for future surveys. Modelled estimates of cluster-level prevalence were strongly correlated with more operationally feasible metrics of antibody responses.Conclusions/SignificanceThis study demonstrates the potential of integrated serological surveillance to characterise spatial distributions of exposure to multiple pathogens in low transmission and elimination settings when the probability of detecting infections is low.

Traffic Flow Detection Using Camera Images and Machine Learning Methods in ITS for Noise Map and Action Plan Optimization.

Noise maps and action plans represent the main tools in the fight against citizens’ exposure to noise, especially that produced by road traffic. The present and the future in smart traffic control is represented by Intelligent Transportation Systems (ITS), which however have not yet been sufficiently studied as possible noise-mitigation tools. However, ITS dedicated to traffic control rely on models and input data that are like those required for road traffic noise mapping. The present work developed an instrumentation based on low-cost cameras and a vehicle recognition and counting methodology using modern machine learning techniques, compliant with the requirements of the CNOSSOS-EU noise assessment model. The instrumentation and methodology could be integrated with existing ITS for traffic control in order to design an integrated method, which could also provide updated data over time for noise maps and action plans. The test was carried out as a follow up of the L.I.S.T. Port project, where an ITS was installed for road traffic management in the Italian port city of Piombino. The acoustic efficacy of the installation is evaluated by looking at the difference in the acoustic impact on the population before and after the ITS installation by means of the distribution of noise exposure, the evaluation of Gden and Gnight, and the calculation of the number of highly annoyed and sleep-disturbed citizens. Finally, it is shown how the ITS system represents a valid solution to be integrated with targeted and more specific sound mitigation, such as the laying of low-emission asphalts.

National and subnational burden of disease attributable to occupational exposure to solar ultraviolet radiation (SUVR) in Iran, 2005-2019.

Overexposure to solar ultraviolet radiation (SUVR) can cause skin and eye adverse effects for outdoor workers. In this study, the burden of disease induced by occupational exposure to SUVR and its spatiotemporal trend at national and sub-national levels in Iran, 2005-2019 were assessed. The attributable burden of disease was assessed using the following five datasets: (1) distribution of occupational exposure to SUVR, (2) total incidences and deaths of health outcomes of SUVR exposure, (3) population attributable fractions of the health outcomes of SUVR exposure, (4) age-gender distribution of outdoor workers, and (5) disability-adjusted life year (DALY) calculation constants. During 2005-2019, the attributable DALYs increased from 2442 to 2907 and the attributable DALY rate (per 100,000 workers) slightly decreased from 11.94 to 11.91. The share of YLL in the attributable burden of disease was in the range of 43%-46%. Out of nine causes, about 90% of the attributable burden of disease in 2019 was related to cataracts (29.9%), malignant skin melanoma (27.4%), squamous-cell carcinoma (18.6%), and sunburn (17.2%). During the study period, the attributable DALY rate in women increased by 60.95% (from 5.04 to 8.11) and in men decreased by 2.06% (from 13.03 to 12.76). The total attributable DALYs and DALY rate rose by age during 2005-2019. The contributions of population growth, risk-deleted DALY rates, exposure risk, and population age structure in temporal changes of the attributable burden of disease were 19.27%, 9.13%, -1.35%, and -14.8%, respectively. The three highest attributable DALY rates in 2019 were observed in South Khorasan (21.28), Chahar Mahal and Bakhtiari (17.42), and Kordestan (17.26), respectively. The preventive interventions against SUVR overexposure, regular screenings, and early treatments with an emphasis on occupations with continuous sun exposure and provinces with increasing attributable DALY rates should be considered in the occupational health action plan in the country.

Cumulative human exposure and environmental occurrence of phthalate esters: A global perspective

In the current investigation, the distribution and extent of human exposure of phthalate esters (PAEs) have been reported on global extent based on computed indices. The proposed indices were calculated based on environmental concentrations, toxicity, occurrence, environmental fate, and transport of PAEs. The cumulative phthalate exposure index (PEI) based on the phthalate pollution index (PPI) was mapped on a global scale based on the existing data reported in the literature. The results revealed that the PAEs are heterogeneously distributed globally, and about 30% of total environmental PAEs are ultimately exposed to the average human being. The comparative distribution of PAEs in various environmental compartments including urban-rural, indoor-outdoor, home-dormitory-classroom, and their exposure likelihood were studied based on indices. More than 90% of total human exposure of PAEs was observed to be from indoor environmental compartments. Significantly high exposure was observed in the urban population as compared to the rural population. About 70% of the total phthalate pollution sub-index of dust was observed from home followed by a classroom of ∼15% and then a dormitory of ∼10%. In addition, the indices were equated with the current human development index (HDI), gross national income (GNI), and exposure of particulate matter of each country. Based on current findings, the population living in the areas where >20 μg/m3 of particulate matter has been reported are possibly exposed with higher PAEs. The indices were highly diversified at high HDI (0.9) values and between 40,000 and 50,000 $ per capita income due to different usage of phthalate-containing products, disposal, and extensive monitoring work carried out by the developed and developing countries.

Internal Exposure and Distribution of Airborne Fine Particles in the Human Body: Methodology, Current Understandings, and Research Needs.

Exposure to airborne fine particles (PM2.5, particulate matter with aerodynamic diameter <2.5 μm) severely threatens global human health. Understanding the distribution and processes of inhaled PM2.5 in the human body is crucial to clarify the causal links between PM2.5 pollution and diseases. In contrast to extensive research on the emission and formation of PM2.5 in the ambient environment, reports about the occurrence and fate of PM2.5 in humans are still limited, although many studies have focused on the exposure and adverse effects of PM2.5 with animal models. It has been shown that PM2.5, especially ultrafine particles (UFPs), have the potential to go across different biological barriers and translocate into different human organs (i.e., blood circulation, brain, heart, pleural cavity, and placenta). In this Perspective, we summarize the factors affecting the internal exposure of PM2.5 and the relevant analytical methodology and review current knowledge about the exposure pathways and distribution of PM2.5 in humans. We also discuss the research challenges and call for more studies on the identification and characterization of key toxic species of PM2.5, quantification of internal exposure doses in the general population, and further clarification of translocation, metabolism, and clearance pathways of PM2.5 in the human body. In this way, it is possible to develop toxicity-based air quality standards instead of the currently used mass-based standards.

Selecting External Controls for Internal Cases Using Stratification Score Matching Methods.

Rare-disease registries can be useful for studying the associations between environmental exposures and disease severity, but often require the addition of a healthy comparison control group. Defining a surrogate control group, matched and balanced on potentially confounding variables, would allow for the comparison of exposure distributions with cases from a registry. In the present study, we assess whether controls selected externally, using stratification score (SS) matching, can serve as effective proxies for internal controls. In addition, we use methyl paraben (MEPB) to compare the estimated associations between an externally matched sample and case–control frequencies in a cohort with internally matched controls. We started with 225 eligible cases of autism spectrum disorder (ASD) from Childhood Autism Risks from Genetics and the Environment (CHARGE), 241 internal controls from CHARGE, and 265 external controls from the National Health and Nutrition Examination Survey (NHANES) cycles 2005–2016. We calculated the SSs using demographic covariates and matched 1:1 using a caliper method without a replacement. The distribution of the covariates and the mean squared error of the paired differences (MSEpaired) in the SSs between the internal and external group were similar (MSEpaired = 0.007 and 0.011, respectively). The association between MEPB and ASD compared to the controls was similar between the externally matched SS pairs and the original frequency matched cohort. Controls selected externally, via SS matching, can provide a comparable bias reduction to that provided by the internal controls, and therefore may be a useful strategy in situations when the internal controls are not available.

Burden of diseases attributed to traffic noise in the metropolis of Tehran in 2017

Although road traffic noise is the most important source of environmental noise emission in large cities, little is known about health burden. The present study was conducted to estimate the burden of diseases attributed to traffic noise in the metropolis of Tehran in 2017. Using noise maps provided by the municipality of Tehran, we calculated population exposure distribution in term of Ldn and Lnight and the number of DALYs lost due to ischemic heart disease, hypertension, high sleep disturbance, annoyance and stroke endpoints based on the World Health Organization Environmental Noise Guidelines for the European Region. We applied published dose-response functions to estimate the traffic noise burden for high sleep disturbance and annoyance. We estimated 61,284 DALYs or 697 DALYs per 100,000 population attributed to traffic noise in Tehran for the reference year 2017. Highly sleep disturbance with a share of 58.74% of the DALYs was recognized as the most important contributor of disease burden, and noise annoyance with a share of 23.12% was ranked next. Ischemic heart disease (11.71%), stroke (5.12%), and hypertension (1.31%) were ranked third to fourth, respectively, in terms of the burden of disease caused by environmental noise. A considerable fraction of the population of Tehran lives in areas with an environmental noise higher than the standard level. The findings showed that traffic noise pollution is an important environmental risk factor in Tehran imposes the greatest burden on the community, mainly through highly sleep disturbance and noise annoyance endpoints.

European interlaboratory comparison investigations (ICI) and external quality assurance schemes (EQUAS) for the analysis of bisphenol A, S and F in human urine: Results from the HBM4EU project

The Human Biomonitoring for Europe initiative (HBM4EU) aims to study the exposure of citizens to chemicals and potentially associated health effects. One objective of this project has been to build a network of laboratories able to answer to the requirements of European human biomonitoring studies. Within the HBM4EU quality assurance and quality control scheme (QA/QC), a number of interlaboratory comparison investigations (ICIs) and external quality assurance schemes (EQUASs) were organized to ensure data consistency, comparability and reliability. Bisphenols are among the prioritized substance groups in HBM4EU, including bisphenol A (BPA), bisphenol S (BPS) and bisphenol F (BPF) in human urine. In four rounds of ICI/EQUAS, two target concentration levels were considered, related to around P25 and P95 of the typical exposure distribution observed in the European general population. Special attention was paid to the conjugated phase II metabolites known to be most dominant in samples of environmentally exposed individuals, through the analysis of both native samples and samples fortified with glucuronide forms. For the low level, the average percentage of satisfactory results across the four rounds was 83% for BPA, 71% for BPS and 62% for BPF. For the high level, the percentages of satisfactory results increased to 93% for BPA, 89% for BPS and 86% for BPF. 24 out of 32 participating laboratories (75%) were approved for the analyses of BPA in the HBM4EU project according to the defined criterion of Z-scores for both low and high concentration levels in at least two ICI/EQUAS rounds. For BPS and BPF, the number of qualified laboratories was 18 out of 27 (67%) and 13 out of 28 (46%), respectively. These results demonstrate a strong analytical capability for BPA and BPS in Europe, while improvements may be needed for BPF.

Efficacy and safety exposure-response analyses of entrectinib in patients with advanced or metastatic solid tumors.

Entrectinib is an anti-cancer agent that inhibits TRKA/B/C, ROS1, and ALK. Secondary pharmacokinetic (PK) exposure parameters for entrectinib derived from a previously described population PK model were used to characterize exposure-response relationships in patients treated with entrectinib. Data were pooled from Phase 1 and 2 studies of entrectinib (600-800mg/day in adults, 250-750mg/m2/day in children) in 293 patients with NTRK-, ROS1-, or ALK-positive, locally advanced or metastatic tumors. Efficacy was evaluated by the changes in sum of target lesion diameters and best overall response defined by RECIST1.1. A longitudinal nonlinear mixed-effect model described the relationship between entrectinib exposure and tumor size data in patients with ROS1-positive non-small-cell lung cancer (NSCLC) or NTRK fusion-positive solid tumors. The relationship between exposure and treatment-emergent (TEAEs) or serious (SAEs) adverse events was assessed by logistic regression in all patients for whom secondary PK parameter estimates were derived. Among the 89 patients with evaluable efficacy data included in the exposure-efficacy analysis, 73% (65/89) achieved a complete or partial response. Entrectinib exposure distribution was similar in responders and non-responders. Model-described tumor shrinkage rates were 8-12 times greater than growth rates in both ROS-1-positive NSCLC patients and NTRK fusion-positive solid tumor patients, with no relationship between exposure and these rates. The probability of experiencing a Grade ≥ 3 TEAE or SAE increased with exposure, primarily at doses > 600mg/day. These analyses supported that entrectinib at 600mg/day provides an acceptable benefit-risk ratio in adults with NTRK-, ROS1-, or ALK-positive tumors, considered as rare disease.

Spatial resolution of Normalized Difference Vegetation Index and greenness exposure misclassification in an urban cohort.

The Normalized Difference Vegetation Index (NDVI) is a measure of greenness widely used in environmental health research. High spatial resolution NDVI has become increasingly available; however, the implications of its use in exposure assessment are not well understood. To quantify the impact of NDVI spatial resolution on greenness exposure misclassification. Greenness exposure was assessed for 31,328 children in the Greater Boston Area in 2016 using NDVI from MODIS (250 m2), Landsat 8 (30 m2), Sentinel-2 (10 m2), and the National Agricultural Imagery Program (NAIP, 1 m2). We compared continuous and categorical greenness estimates for multiple buffer sizes under a reliability assessment framework. Exposure misclassification was evaluated using NAIP data as reference. Greenness estimates were greater for coarser resolution NDVI, but exposure distributions were similar. Continuous estimates showed poor agreement and high consistency, while agreement in categorical estimates ranged from poor to strong. Exposure misclassification was higher with greater differences in resolution, smaller buffers, and greater number of exposure quantiles. The proportion of participants changing greenness quantiles was higher for MODIS (11-60%), followed by Landsat 8 (6-44%), and Sentinel-2 (5-33%). Greenness exposure assessment is sensitive to spatial resolution of NDVI, aggregation area, and number of exposure quantiles. Greenness exposure decisions should ponder relevant pathways for specific health outcomes and operational considerations.

Population Pharmacokinetics of Abrocitinib in Healthy Individuals and Patients with Psoriasis or Atopic Dermatitis.

Background and ObjectiveAbrocitinib is a Janus kinase 1 inhibitor in development for the treatment of atopic dermatitis (AD). This work characterized orally administered abrocitinib population pharmacokinetics in healthy individuals, patients with psoriasis, and patients with AD and the effects of covariates on abrocitinib exposure.MethodsAbrocitinib concentration measurements (n = 6206) from 995 individuals from 11 clinical trials (seven phase I, two phase II, and two phase III) were analyzed, and a non-linear mixed-effects model was developed. Simulations of abrocitinib dose proportionality and steady-state accumulation of maximal plasma drug concentration (Cmax) and area under the curve (AUC) were conducted using the final model.ResultsA two-compartment model with parallel zero- and first-order absorption, time-dependent bioavailability, and time- and dose-dependent clearance best described abrocitinib pharmacokinetics. Abrocitinib coadministration with rifampin resulted in lower exposure, whereas Asian/other race coadministration with fluconazole and fluvoxamine, inflammatory skin conditions (psoriasis/AD), and hepatic impairment resulted in higher exposure. After differences in body weight are accounted for, Asian participants demonstrated a 1.43- and 1.48-fold increase in Cmax and AUC, respectively. The overall distribution of exposures (Cmax and AUC) was similar in adolescents and adults after accounting for differences in total body weight.ConclusionsA population pharmacokinetics model was developed for abrocitinib that can be used to predict abrocitinib steady-state exposure in the presence of drug–drug interaction effects or intrinsic patient factors. Key covariates in the study population accounting for variability in abrocitinib exposures are Asian race and adolescent age, although these factors are not clinically meaningful.Clinical Trial NumbersNCT01835197, NCT02163161, NCT02201524, NCT02780167, NCT03349060, NCT03575871, NCT03634345, NCT03637790, NCT03626415, NCT03386279, NCT03937258.Supplementary InformationThe online version contains supplementary material available at 10.1007/s40262-021-01104-z.

Determine Cumulative Radiation Dose and Lifetime Cancer Risk in Marfan Syndrome Patients Who Underwent Computed Tomography Angiography of the Aorta in Northeast Thailand: A 5-Year Retrospective Cohort Study.

Objective: To evaluate computed tomography angiography (CTA) data focusing on radiation dose parameters in Thais with Marfan syndrome (MFS) and estimate the distribution of cumulative radiation exposure from CTA surveillance and the risk of cancers. Methods: Between 1st January 2015 and 31st December 2020, we retrospectively evaluated the cumulative CTA radiation doses of MFS patients who underwent CTA at Khon Kaen University Hospital, a leading teaching hospital and advanced tertiary care institution in northeastern Thailand. We utilized the Radiation Risk Assessment Tool (RadRAT) established at the National Cancer Institute in Bethesda, Maryland, to evaluate the risk of cancer-related CTA radiation. Results: The study recruited 29 adult MFS patients who had CTA of the aorta during a 5-year study period with 89 CTA studies. The mean cumulative CTDI vol is 21.5 ± 14.68 mGy, mean cumulative DLP is 682.2 ± 466.7 mGy.cm, the mean baseline future risk for all cancer is 26,134 ± 7601 per 100,000, and the excess lifetime risk for all cancer is 2080.3 ± 1330 per 100,000. The excess lifetime risk of radiation-induced cancer associated with the CTA surveillance study is significantly lower than the risk of aortic dissection or rupture and lower than the baseline future cancer risk. Conclusions: We attempted to quantify the radiation-induced cancer risk from CTA surveillance imaging performed for MFS patients in this study, with all patients receiving a low-risk cumulative radiation dose (less than 1 Gy) and all patients having a low excessive lifetime risk of cancer as a result of CTA. The risk–benefit decision must be made at the point of care, and it entails balancing the benefits of surveillance imaging in anticipating rupture and providing practical, safe treatment, therefore avoiding morbidity and mortality.

A Study on CNN Based Transfer Learning for Recognition of Flower Species

The flower that is one of the plant organs, is essential element of the ecological order. Flowers have been used in many areas that are beneficial to humans. There exist about four hundred thousand varieties of flowers known today. It is a difficult task to distinguish flowers from each other due to their similarity in shape and color. Flower classification is a challenging problem due to the high variety of shapes, color distribution, lighting conditions and deformation of exposure. It becomes more difficult to distinguish flowers that are similar in color and shape to each other with the human eye for some images. It takes remarkable training for humans to correctly distinguish between particular species, and often very specific morphological features are the only thing that distinguishes closely related species. CNN models have been recently used by researchers in many classification problems to eliminate the need for manual features. In this study, CNN-based transfer learning methods are studied for recognition of flower species. Popular pretrained learning techniques which are VGG16, VGG19, SqueezeNet, DenseNet-121, DenseNet-201, and InceptionResNetV2 are conducted for classification of flower species. Their classification performances are compared on same flower dataset in experimental results. It was observed that the InceptionResNetV2 model gives superior results than other models in experiments. The highest accuracy (92.25%) is obtained with the InceptionResNetV2 model for flower dataset.

Tissue distribution and endocrine disruption effects of chronic exposure to pharmaceuticals and personal care products mixture at environmentally relevant concentrations in zebrafish.

Pharmaceuticals and personal care products (PPCPs) as emerging contaminants are ubiquitously present in the aquatic environment. Using in vivo and in silico techniques, this study aims to elucidate tissue distribution and endocrine disruption effects of chronic exposure (120 days) to PPCP mixture at environmentally relevant concentrations (ERCs) in adult zebrafish. Results from UHPLC-MS/MS analyses showed elevated distribution of PPCPs in zebrafish tissues in the order of liver > gonad > brain. Upregulation of steroid hormone receptors, both gonadotropin, and steroidogenic genes perturb the HPG axis pathway in females, while male fish exhibited significantly downregulated expressions of vtg, cyp17, and 17βhsd genes with inhibited fecundity. The Spearman correlation indicated a significant positive relationship between PPCPs bioaccumulation and mRNA levels of HPG axis genes. In silico molecular docking (MD) revealed specific amino acid residues of PPCPs binding with zebrafish estrogen receptors. Furthermore, the strongest binding energies of sulfamethoxazole, carbamazepine, and triclosan were discovered in erα and erβ estrogen receptors, confirming PPCPs' xenoestrogenic behavior. To summarize, chronic exposure to ERCs resulted in a high accumulation of PPCPs in the liver and gonad tissues of adult zebrafish, as well as associated perturbed genetic responses. As a result, strict environmental regulations for the disposal of PPCPs should be ensured to protect ecological and public health.

A simulation-based stereological correction method for assessment of volumetric liberation and surface exposure of ore particles

• A simulation-based stereological correction method was developed. • First, a database of liberation distributions is established by simulation. • Then, 3D liberation is estimated from 2D liberation, with reference to the database. • Volumetric liberation and surface exposure bias can be corrected. In assessment of the volumetric liberation and surface exposure of ore particles, two-dimensional (2D) analysis, such as the widely used scanning electron microscope and energy dispersive X-ray (SEM/EDX)-based analysis, results in stereological bias with respect to the three-dimensional (3D) reality. Thus, a simulation-based stereological correction method for accurate assessment of volumetric liberation and surface exposure was developed. The method utilizes a pre-established database of numerically simulated binary particles to estimate 3D composition (or exposure) distributions only from measurable 2D composition (or exposure) distributions. Among the notable features of the method are the relatively small amount of 2D-distribution input data required, and the rapidity of the analysis. Experimental validation, and ex-post analysis of previously published research results, showed high estimation accuracy for various types of particles (including actual ore samples) examined in previous studies. In addition, the method is suitable for post analysis of SEM/EDX-based particle sectional liberation analysis.

Contribution of Illicit Drug Use to Pharmaceutical Load in the Environment: A Focus on Sub-Saharan Africa.

Illicit drug abuse and addiction are universal issues requiring international cooperation and interdisciplinary and multisectoral solutions. These addictive substances are utilized for recreational purposes worldwide, including in sub-Saharan Africa. On the other hand, conventional wastewater treatment facilities such as waste stabilization ponds lack the design to remove the most recent classes of pollutants such as illicit drug abuse. As a result, effluents from these treatment schemes contaminate the entire ecosystem. Public health officials are concerned about detecting these pollutants at alarming levels in some countries, with potential undesirable effects on aquatic species and increased health hazards through exposure to contaminated waters or recycling treated or untreated effluents in agriculture. Contaminants including illicit substances enter the environment by human excreta following illegal intake, spills, or through direct dumping, such as from clandestine laboratories, when their manufacturer does not follow accepted production processes. These substances, like other pharmaceuticals, have biological activity and range from pseudopersistent to highly persistent compounds; hence, they persist in the environment while causing harm to the ecosystem. The presence of powerful pharmacological agents such as cocaine, morphine, and amphetamine in water as complex combinations can impair aquatic organisms and human health. These compounds can harm human beings and ecosystem health apart from their low environmental levels. Therefore, this article examines the presence and levels of illicit substances in ecological compartments such as wastewater, surface and ground waters in sub-Saharan Africa, and their latent impact on the ecosystem. The information on the occurrences of illicit drugs and their metabolic products in the sub-Saharan Africa environment and their contribution to pharmaceutical load is missing. In this case, it is important to research further the presence, levels, distribution, and environmental risks of exposure to human beings and the entire ecosystem.

Spatial modeling for radon concentrations in subway stations in Seoul, Korea.

This study examined the environmental and geological determinants of radon concentration in subway stations by applying a spatial statistical model to the integrated GIS database. The data were collected for 237 underground subway stations located inside the city of Seoul, South Korea and used for mapping to illustrate the spatial distribution of airborne radon exposure and analysis of potential contribution of station-specific and geological determinants. A Bayesian conditional autoregressive regression (CAR) model was developed to explain the radon concentrations, and the predicted radon surface was generated and visualized to identify hotspot regions where elevated radon exposure is likely to be present in underground settings. The findings include: (1) subway stations located within granite bedrock maintained relatively higher radon concentrations; (2) underground radon emanation is not only controlled by lithology and the associated uranium content of the rocks and soil, but also by structural factors which facilitate easy migration of radon from deeper parts of the earth's crust; (3) radon risks would be elevated if the underground facility is constructed too deep without any control measure; and (4) not only the foundation of an underground facility but also the nature of the soil and rocks in the vicinity helps determine whether or not dangerous levels of radon gas are likely to accumulate inside. This modeling effort is expected to provide guidelines regarding the identification of future station locations with a lower radon risk and the mandatory installation of adequate radon reduction systems for the underground space where people stay or commute for long periods of time.