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Assessing toxic metals (TMs) contamination and phytoremediation potentiality in coastal mangrove lagoons is needed for applying sustainable management of this ecosystem. Consequently, here we determined the pseudo-total content of TMs in the sediments and mangrove plants (leaves, stems, aerial roots, and fine roots) collected from Al-Shuaiba, Yanbu, and Jeddah lagoons, along the coast of Red Sea. The contamination degree was assessed using different indices and the potentiality of mangroves for TMs phytoremediation was determined. The average total metals content (mg kg-1) in the sediments ranged from 1806 to 9580 for Fe, 65 to 195 for Mn, 3.9 to 25.9 for Cu, 5.5 to 16.4 for Zn, 0.09 to 0.42 for Cd, 8.9 to 20.9 for Cr, 32.8 to 37.9 for Ni, and from 0.69 to 6.7 for Pb. The sediments of Yanbu site contained the highest content of all metals (except for Cu), while Al-Shuaiba sediments contained the lowest values. The contamination factor (CF) showed that the sediments of Yanbu and Jeddah suffer from high and moderate contamination degree of Cd. These sites suffer from moderate grade of Ni contamination. The CF values of Fe, Mn, Cr, Cu, and Zn in the three sites were lower than unity, which show low contamination degree. selleck chemicals llc Iron, Cr, Cu, Ni, Pb, and Zn were concentrated in the fine roots, while Cd was concentrated in the stems. Mangrove plants at Yanbu site contained significantly higher content of all metals than the grown plants in Jeddah and Al-Shuaiba sites, which can be explained by the high metal content in the sediments and the anthropogenic metal sources such as the petrochemical industries, and the industrial and municipal wastewater discharged into this site. Sediment-to-plant transfer coefficients values were higher than unity, which indicate that the mangrove plants have the potential to accumulate the metals. The results highlight a potential risk at Yanbu and Jeddah sites and may help for applying sustainable trials for phyto-management of these lagoons.In order to evaluate suitable remediation strategies for Cu-polluted soils, the growth, tolerance, and Cu accumulation of Sarcocornia perennis and Limonium brasiliense were studied in hydroponic culture using different Cu concentrations, with and without Undaria pinnatifida compost. Most measured variables (e.g., water content, aboveground dry weight, malondialdehyde, pigments concentrations, tolerance index) showed a negative effect of high Cu levels in plants without compost but not in plants with compost. Plants accumulated high Cu levels in belowground tissues (bioaccumulation factor > 1) showing low translocation to aboveground parts. Based on the results, we suggest two remediation strategies a short-term strategy root absorption of Cu by halophytes, and a long-term strategy using halophytes and U. pinnatifida compost, involving absorption of Cu by the plants together with metal immobilization in the substrate. This last strategy offers an additional advantage it provides a use for seaweed waste, considered a problem for several coastal cities.Possible access routes of macro and mesoplastics, acting as the main sources of pollution in the coastal ecosystem, are examined as a case study on four beaches along the Istanbul coast. A total number of 3787 items belonging to 12 categories of debris types were collected as follows macroplastics 47.8%; mesoplastics 9.2%; and others 43.0% such as paper pieces, glass pieces and metal beverage cans. Clean-coast and carbonyl indexes were also used to identify the level of cleanliness of the sampling sites. The clean-coast index revealed that all of the sample sites were categorized as extremely dirty. Moreover, carbonyl index results indicate that 35.7% of the samples were at a high oxidation level indicating that some of the particles relatively spend more time on beaches. The litter concentration and surface oxidation results were addressing issues that should be taken into consideration to improve litter management strategies of the beaches.Marina beach in Chennai metropolitan city attracts numerous tourists from all around the world, and it is an important ecological habitat for many life forms. Rapid urbanisation and industrial developments have led to excessive use of plastics and increased the amount of plastic waste generated in the natural environment. This first baseline study evaluates the microplastic (MP) accumulation in beach surface sediments of Marina and Pattinapakkam beaches through FTIR, AFM and SEM analyses. Sediment samples were collected from 40 stations and different types of MP polymers were identified. On average, 459 (60.8%) and 297 (39.2%) MP particles were found in the samples from Marina and Pattinapakkam beaches, respectively. We found that polyethylene types and additives are the dominant MPs in both areas. This study provided us with new insights into the human activities and natural processes in these marine environments. To solve the problem of plastic accumulation in the marine environment, the government should first play an active role in addressing the problem of plastic waste by introducing laws to control the sources of plastic waste and the use of plastic additives.

Child maltreatment (CM) can result in lifelong detrimental consequences, but its association with sleep disturbances in young children remains unclear.

This study aimed to investigate the association of CM with sleep disturbances and short sleep duration among Chinese preschoolers.

Data were from a representative sample of 17,023 children (6.17±0.29years old, 51.96% boys) at their graduation year of preschool in September 2019, as a subset of the Shanghai Children's Health, Education and Lifestyle Evaluation-Preschool (SCHEDULE-P) study.

Parents reported children's CM of different types and the Children's Sleep Habits Questionnaire (CSHQ). Logistic regression was used to evaluate the risk of sleep disturbances and short sleep duration linked to CM.

Of the children, 12,583(73.92%) demonstrated sleep disturbances (CSHQ total score>41) and 3017(17.72%) demonstrated short sleep duration (<9h/night). After adjusting covariates, physical abuse (aOR=1.16, 95%CI=1.05-1.28) and emotional abuse (aOR=1.50, 95% CI=1.39-1.62) were associated with global sleep disturbances. Physical abuse (aOR=1.16, 95% CI=1.06-1.28), physical neglect (aOR=1.29, 95%CI=1.12-1.49), and emotional abuse (aOR=1.19, 95% CI=1.09-1.30) were associated with short sleep duration. Sexual abuse was not significantly associated with global sleep disturbances or short sleep duration. A cumulative association was noted that more CM types were associated with increased global sleep disturbances and short sleep duration.

CM is associated with sleep disturbances and short sleep duration in young children. This highlights the efforts to prevent and reduce CM in favor of optimal sleep and whole health in young children.

CM is associated with sleep disturbances and short sleep duration in young children. This highlights the efforts to prevent and reduce CM in favor of optimal sleep and whole health in young children.

A validated source of International Classification of Disease (1CD) 10th revision diagnostic codes to identify child maltreatment has not been developed. Such a reference would be essential for the practical purposes of administrative data-based research and public health surveillance.

To evaluate the validity of diagnosis code classifications for child maltreatment following conversion from ICD 9th edition, clinical modification (ICD-9-CM) to 10th revision.

Children receiving inpatient or emergency medical care in the United States with ICD-9-CM/ICD-10-CM diagnosis codes for child maltreatment, identified using two large multicenter hospital-based datasets.

We evaluated the performance of general equivalence mappings (GEMs) and network-based mappings for previously-validated ICD-9-CM diagnosis codes for child maltreatment in the 2013-2014 PHIS and 2012 KID and resulting ICD-10-CM codes in the 2018-2019 PHIS and 2016 KID datasets.

Of 56 previously-validated ICD-9-CM diagnoses, GEMs identified 15 witof child maltreatment as a precursor to administrative data-based research and public health surveillance.

To evaluate CADRI's configural and metric structures and explore its performance from the perspective of the respondents as perpetrators and victims. In the process, we present shorter versions for both roles.

The sample consisted of 561 adolescents aged 15 and 19, enrolled in public and private schools in Rio de Janeiro, Brazil. Initially, confirmatory factor analyzes (CFA) tested the originally proposed dimensional structure. Since this model was rejected, the second step analyzed the data via Exploratory Structural Equation Models (ESEM) to reassess the instrument's structure. Applying a decision algorithm on a new dimensional structure, we proceeded to reduce the number of items to establish separate sets for victimization and perpetration. These final models were then analyzed via CFA to assess their psychometric properties.

The final solutions contained 15 items comprising four and three factors for victimization and perpetration, respectively. Thirteen items were common to both models, but two were unique to their respective sets. Regardless of their small differences, the final solutions fitted adequately, held factorial item pertinence and unambiguity, contained reliable and non-redundant items, and sustained factor-based convergent and discriminant validities.

The four and three-factor models were within the dimensional bounds proposed in the original CADRI, the shorter scales still succeeding in partially capturing what was envisaged in the first version of the instrument. However, the shorter versions suggested here are still tentative, thus requiring further examination.

The four and three-factor models were within the dimensional bounds proposed in the original CADRI, the shorter scales still succeeding in partially capturing what was envisaged in the first version of the instrument. However, the shorter versions suggested here are still tentative, thus requiring further examination.

Humans are commonly exposed to ionizing radiation. The conventional approach for estimating radiation exposure is to integrate physical and clinical measurements for optimizing the dose calculation. However, these methods have several limitations. The present study attempted to identify candidate microRNA (miRNA) biomarkers for radiation exposure in a hematopoietic humanized NSGS (hu-NSGS) mouse model.

We grafted human CD34

hematopoietic stem cells into NSG-SGM3 (NSGS) mice. The hu-NSGS mice underwent total body irradiation at doses of 2, 3, and 4Gy. Tissues from the spleen, thymus, and lymph nodes of hu-NSGS mice were prepared to analyze levels of CD45

and CD3

T cells and CD 20

B cells using flow cytometry and immunohistochemistry. Serum miRNAs were profiled using a digital multiplexed NanoString n-Counter.

The expression of 45 miRNAs was upregulated/downregulated hu-NSGS mice. The miRNAs hsa-mir-188-5p, hsa-let-7a-5p, hsa-mir-612, hsa-mir-671-5p, and hsa-mir-675-5p were highly radiation-responsive in irradiated hu-NSGS mice. When compared with control mice, radiation-exposed mice exhibited significant upregulated of hsa-let-7a-5p expression and significant downregulation of hsa-mir-188-5p expression.

Single miRNAs or combinations of hsa-mir-188-5p, hsa-let-7a-5p, hsa-mir-675-5p, hsa-mir-612, and hsa-mir-671-5p can be used as biomarkers for predicting the impact of radiation exposure. The current findings suggest the usefulness of hu-NSGS models for investigating radiation biomarkers.

Single miRNAs or combinations of hsa-mir-188-5p, hsa-let-7a-5p, hsa-mir-675-5p, hsa-mir-612, and hsa-mir-671-5p can be used as biomarkers for predicting the impact of radiation exposure. The current findings suggest the usefulness of hu-NSGS models for investigating radiation biomarkers.