Introduction: Given the multitude of climate changes and the varying level of adaptation in different societies, it is necessary to measure the degree of adaptation to climate change in any society, as these aids in planning strategies to promote adaptation. Achieving such a goal requires the use of reliable, stable, and indigenous culture-based tools. The purpose of this study is to design and psychometrically assess the adaptation of Iranian society to dust.
Materials and methods: The present investigation is a sequential exploratory combined study that utilizes an instrumentation approach. The primary tool, consisting of 101 design items, was developed Based on indicators extracted from two qualitative studies and a systematic review. Its face (quantitative and qualitative), content (qualitative and quantitative), and structural validity among 432 citizens of Ahvaz in southwest Iran were evaluated using exploratory factor analysis. The reliability of the tool was then calculated using Cronbach's alpha test and the intra -cluster correlation index.
Results: After calculating the item effect score index with values higher than 1.5, the content validity ratio higher than 0.49, and the content validity index higher than 0.79, 40 items out of the initial 101 were selected. Through exploratory factor analysis, the items were further reduced to 34 and grouped into four areas, based on the eigenvalue being higher than 1. The tool's reliability was confirmed with a Cronbach's alpha of 0.974 and an IntraCluster Correlation index (ICC) of 0.951 with a 95% confidence interval.
Conclusion: This study successfully designed and produced a tool for measuring the adaptability to dust, comprising 34 items categorized into four areas: optimistic capacity, adjustment, adaptation, and response. This tool can quantitatively measure society's adaptability to dust. With its strong validity and reliability, the tool can identify both the weakness and strengths of a society's adaptation to dust, compare the level of adaptation across different societies, and determine trends within a society.

Introduction: Gas flaring is a vital environmental issue that has a negative influence on health of population that host natural gases and oil wells. Exacerbated risk of abnormal outcomes for pregnant women and newborn babies are of great concern in maternal and child health. The researchers aimed to examine how gas flaring impact acute Respiratory Distress Syndrome (RDS) in women that were pregnant and newborn babies.
Materials and methods: A descriptive cross-sectional survey involving 483 pregnant women of reproductive age, antenatal caregivers and healthcare professionals at health facilities in Delta State Central Senatorial District. Using a multi-stage random sampling technique, a structured survey questionnaire was used to collect respondents’ RDS experiences and that of their new borne. Data were statistically analysed with the use of SPSS. Significant level was considered at P<0.05
Results: Among the 326 children recruited, 205 (42.4%) had experienced respiratory distress. Of the 483 women, 54% suffered from respiratory disease and 33% of the children had been admitted for respiratory distress on a weekly basis. While the age, educational level, gender, and marital status of women were not significant statistically with having children experiencing RDS, bearing children was statistically significant (P<0.001). Health professional reported that developing severe lung infection, release of black carbon and asthma sufferers were major risk factors to RDS.
Conclusion: Findings showed that there was an increased prevalence of RDS among the study sub-population. RDS contributes more to cardiovascular disease and diabetes, hence it is important to address this public health issue

Introduction: The singeing of animals is one of the major sources of human exposure to air pollutants in abattoirs especially in developing countries and it can cause various adverse health effects among the workers. This study assessed the concentrations of particulate matter in selected abattoirs and examined the associated health risks among the workers in Benin City, Nigeria.
Materials and methods: Measurements of Particulate Matter (PM2.5 and PM10) were performed in three areas in the abattoirs for three months, and the noncarcinogenic risks of exposure to PM2.5 and PM10 were determined via Hazard-Quotients (HQs) and Hazard Indices (HIs). The occurrence and relationship between the reported risk factors and health effects among abattoir workers were also examined using the modified American Thoracic Standard (ATS) respiratory symptoms questionnaire.
Results: The levels of PM2.5 and PM10 in the hide roasting areas were significantly higher (p>0.05) than those at other sampling points across the abattoirs. The indoor and outdoor ratio (I/O) of the particulates was greater than 1.0 in almost all the abattoirs. The concentrations of PM2.5 and PM10 were higher than the permissible air quality standards. The HQ values exceeded 1.0 in all the sampling areas, implying that exposure to particulate concentrations could result in adverse health effects in abattoirs. The chi-square test revealed significant associations between reported risk factors such as: age, work experience, duration of exposure, and use of Personal Protection Equipment (PPE) and health effects (dry cough, eye irritation, asthma, difficulty breathing, sore throat, and chest pain) among abattoir workers.
Conclusion: This study revealed that hide roasting at abattoirs results in poor air quality in the abattoir environment and contributes to adverse health effects among workers.

Introduction: Airborne bioaerosols like SARS-CoV-2 can pose a significant threat to the respiratory system of humans. Airborne bioaerosols, such as SARS-CoV-2, pose significant respiratory risks. Wearing respiratory masks is a preventive measure to reduce exposure and control the transmission of airborne diseases. Hence, this study aims to assess the effectiveness of the masks in filtering airborne particulates, specifically those that carry SARSCoV-2.
Materials and methods: The filtration efficiency of three types of face masks was investigated for particulate matters in a laboratory setup using a custom-designed system, including a human head mannequin and controlled aerosol injection. Air samples were also collected from the breathing zone of COVID-19 patients in hospital settings, both with and without masks. Data analysis used Python tools, including Seaborn and Matplotlib, to generate visual insights.
Results: The study findings revealed variations in particle penetration and filtration efficiency of the tested masks for particles and SARS-CoV-2 based on mask types. The particles smaller than 700 nm penetrated N95 masks by 4.61%, with efficiency reaching 99.2% as particle size increased. Particle filtration efficiency for other masks, including surgical masks, ranged from 31%-68%, and for cloth masks, it was between 28%-86%.
Conclusion: The effectiveness of respiratory masks in preventing the transmission of airborne particles and viruses, like SARS-CoV-2, into the human respiratory system and regular use of suitable respiratory masks can
help control disease transmission, especially in high-risk environments such as hospitals. In summary, using respiratory masks is essential in reducing the spread of airborne viruses and improving public health.

Introduction: Air pollution is a growing concern in Greater Noida, Uttar Pradesh, where meteorological factors play a major role. As urbanization accelerates, the region has not yet thoroughly examined the impact of factors
like temperature, humidity, wind direction, and speed on pollutants like Particulate Matters (PM_2.5, PM₁₀), Nitrogen dioxide (NO₂), and Sulfur dioxide (SO₂).
Materials and methods: To explore this issue, a 12-month study (January to December 2023) was conducted to analyze the relationships between these meteorological factors and pollutant levels. In the present study, pollutant movement was tracked over time. Pearson correlation was used to correlate air pollution concentrations with weather conditions.
Results: The study revealed that the average concentrations of PM₁₀, PM_2.5, and NO₂ were 912.54 µg/m³, 257.42 µg/m³, and 65.98 µg/m³, respectively. In contrast, SO₂ had an average concentration of 26.85 µg/m³.
Conclusion: The study indicates that particulate matter and temperature are strongly negatively correlated, while wind speed shows a weak positive correlation with particulate matter. Pollution levels and relative humidity also display a negative correlation, as do particulate matter concentrations and humidity. However, gaseous pollutants exhibit little to no significant correlation with these weather conditions.

Introduction: Silver (Ag) has increasingly become one of the priority pollutants of soils, which is accompanied by a number of consequences for humans and soil biota. To fully assess the effects of the entry of different
chemical forms of Ag into soils, it is necessary to conduct experiments with different types of soils, different exposure periods, as well as a wide range of biological indicators. The purpose of the study is to assess technogenic pollution by silver compounds (silver oxide (Ag₂O) and nitrate (AgNO₃)) onthe biological properties of the soil in model experiment of the soil in a model experiment, followed by the use of the data obtained in the normalization of the Ag content in the soil.
Materials and methods: The effect of Ag₂O and AgNO₃ was investigated in specific permissible concentrations of biological indicators of the state of Haplic Chernozems Calcic (HCC), Haplic Cambisols Eutric (HCE) and Haplic Arenosols Eutric (HAE). Ecotoxicity was assessed by the degree of changes in the indicators of enzymatic activity, microbiological and phytotoxic indicators of soils 10, 30 and 90 days after contamination. Activity of catalase it was determined gasometrically, dehydrogenases, peroxidase, polyphenoloxidase, ferrireductase, ascorbatoxidase, phosphatase, invertase, urease, protease was determined photocolorimetrically, the total number of bacteria by luminescent method, Azotobacter sp. abundance by the method of fouling lumps on the Ashby medium, length of shoots and roots of wheat (Triticum aestivum L.) morphometrically.
Results: It was revealed that Ag ecotoxicity was determined by the content of Ag in the soil, its form, the period from the moment of contamination and soil type. In most cases, AgNO₃ had a stronger ecotoxic effect on biological parameters. Phosphatase activity and number of soil bacteria are the most sensitive indicators. The activity of invertase, urease, dehydrogenases and Azotobacter sp. abundance are the most informative indicators.
Conclusion: Abundance is the most informative indicator. The results obtained to assess the ecotoxicity of soils contaminated with Ag, as well as the identified sensitive and informative indicators, can be used for diagnosis and as an indicator of the ecological state of soils.

This review evaluates metal concentrations in indoor air within residential buildings, focusing on original research published in English from 2010 to 2022. We conducted a comprehensive literature search across Google Scholar, ScienceDirect, and SpringerLink, identifying 34 relevant studies measuring metal concentrations in various residential environments. Data extraction revealed significant regional variations, with urban homes exhibiting higher metal concentrations compared to rural and industrial areas. Chromium (Cr) levels in urban regions reached 116.00±170.00 mg/kg, compared to 63.40±34.80 mg/kg in rural areas and 30.90±16.90 mg/kg in industrial regions. Nickel (Ni) concentrations were also higher in urban homes at 86.10±126.00 mg/kg, versus 27.60±9.08 mg/kg in rural and 20.40±7.65 mg/kg in industrial settings. The living room showed the highest metal concentrations, with lead (Pb) at 170.00±NA mg/kg and nickel (Ni) at 174.00±144.00 mg/kg, significantly higher than in bedrooms and kitchens (p<0.05). Seasonal variations indicated elevated warm season metal concentrations, with iron (Fe) measured at 11,200 ± 9830 mg/kg. Health risk assessments highlighted a total cancer risk (CR) of 1.59 × 10⁻³ in industrial areas, exceeding acceptable limits (10⁻5 to 10⁻⁶). The ingestion pathway was the primary route for both cancer and non-cancer risks, with copper (Cu) posing the highest potential cancer risk across all regions. These findings emphasize the need for monitoring and regulation of indoor metal concentrations, particularly in industrial areas.

Today, because of the increasing level of people's need to improve wellbeing in social and individual life, air pollutants have been released that have Pollution harms both human health and the environment. This research examined Benzene, Toluene, Ethylbenzene, and Xylenes (BTEX) levels in indoor air across different global locations from 1963 to 2023. The investigation employed both; a systematic review and meta-analysis method. The health risks associated with long and short-terms exposure to benzene, toluene, ethylbenzene, and xylene were assessed. That average concentration benzene was 23.07 μg⁄m3, toluene was 131.60, ethylbenzene was 28.91, and xylene was 63.87. Also, the health risk assessment based on a 95% confidence level showed that the pollutants in question play a role in causing diseases such as lung neoplasm, stomach neoplasm, colon neoplasm, liver neoplasm, headache, dizziness, nausea, insomnia, etc. Consequently, it is crucial to implement stringent measures aimed at lowering the levels of these contaminants in indoor spaces.