Search Results (11,996)

This study evaluates the effectiveness of advanced statistical and geospatial methods for analyzing radon concentration distributions in indoor environments, using the district of San Martín de Porres, Lima, Peru, as a case study. Radon levels were monitored using LR-115 nuclear track detectors over three distinct measurement periods between 2015 and 2016, with 86 households participating. Detectors were randomly placed in various rooms within each household. Normality tests (Shapiro–Wilk, Anderson–Darling, and Kolmogorov–Smirnov) were applied to assess the fit of radon concentrations to a log-normal distribution. Additionally, analysis of variance (ANOVA) was used to evaluate the influence of environmental and structural factors on radon variability. Non-normally distributed data were normalized using a Box–Cox transformation to improve statistical assumptions, enabling subsequent geostatistical analyses. Geospatial interpolation methods, specifically Inverse Distance Weighting (IDW) and Kriging, were employed to map radon concentrations. The results revealed significant temporal variability in radon concentrations, with geometric means of 146.4 Bq·${\text{m}}^{-3}$, 162.3 Bq·${\text{m}}^{-3}$, and 150.8 Bq·${\text{m}}^{-3}$, respectively, across the three periods. Up to 9.5% of the monitored households recorded radon levels exceeding the safety threshold of 200 Bq·${\text{m}}^{-3}$. Among the interpolation methods, Kriging provided a more accurate spatial representation of radon concentration variability compared to IDW, allowing for the precise identification of high-risk areas. This study provides a framework for using advanced statistical and geospatial techniques in environmental risk assessment. Full article

This paper deals with a test on forecast bias in predicting independent multinomial outcomes where the predictions are probabilities. The new Likelihood Ratio (and Wald) test extends the familiar Mincer Zarnowitz regression to a multinomial logit model instead of a linear regression. The test is evaluated using various simulation experiments, which indicate that the size and power properties are good, even for small sample sizes, in the sense that the size is close to the used 5% level, and the power quickly reaches 1. We implement the test in an empirical setting on brand choice by individual households. Full article

This work shows a proposal for reducing emissions, fuel costs, and respiratory disease hospitalizations using environmental cost accounting principles for the production of biodiesel production from waste frying oil (WFO). PM₁₀, PM_2.5, and O₃ data from 2017 to 2022 were collected and correlated with the number of hospitalizations for respiratory diseases and their costs. WFO samples were collected locally from households and restaurants in the greater ABC region, Brazil, and biodiesel was produced using the samples. The results showed that throughout the studied period, one or more of the polluting gases showed a strong correlation with hospitalizations due to respiratory diseases, corroborating what has already been verified by other studies carried out by the WHO. WFO biodiesel was within the standard limits, and the total annual production was estimated to be 30,435 m³; moreover, the associated annual carbon credits would equal 67 tCO₂, as well as a decrease of 30% in total pollutant emissions. Environmental cost accounting revealed that the annual number of respiratory disease hospitalizations could decrease by 3093 and the associated healthcare cost would decrease by USD 838 thousand per year; moreover, the sale of biodiesel and byproducts can generate an annual profit of USD 19 million. The biodiesel plant project had an NPV of USD 172.5 million, a payback of 1 month, and a return on investment of more than 170 times the initial financing. In addition, the reputation and the quality of life of the greater ABC region’s residents could improve. Full article

The absence of standardized reference values for wild rodent species underscores the need for comprehensive hematological and biochemical profiles. This study established robust reference intervals (RIs) for Myocastor coypus raised in captivity, analyzing 30 nutrias (10 males, 10 females, and 10 juveniles) at a private farm in northeastern Romania. Leukocyte (WBC) counts averaged 11.85 (10³/µL) in males, 10.51 (10³/µL) in females, and 11.63 (10³/µL) in juveniles, indicating a consistent immune response. Hemoglobin was 11.81 g/dL in males, 11.97 g/dL in females, and 15.42 g/dL in juveniles, with hematocrit levels around 45%. Juveniles displayed higher MCH (38.59 pg) and MCHC (38.58 g/dL), reflecting growth-related adaptations. Platelet counts were lower in adults. Biochemical findings showed lower cholesterol (14.89 mg/dL) and higher glucose (236.26 mg/dL) in juveniles, indicating intense energy metabolism. Total proteins were significantly elevated in juveniles (33.17 g/dL). Creatinine and uric acid levels were higher in adults, although calcium exceeded reference ranges in males (12.04 mg/dL). Hepatic enzyme ALT was higher in males. These findings establish baseline health parameters for captive nutrias, aiding in monitoring and improving rearing practices. Full article

Background: Vaccination has played a crucial role in mitigating the spread of COVID-19 and reducing its severe outcomes. While over 90% of Bangladesh’s population has received at least one COVID-19 vaccine dose, the comparative effectiveness of homologous versus heterologous booster strategies, along with the complex interplay of factors within the population, remains understudied. This study aimed to compare antibody responses between these booster approaches. Methods: This cross-sectional study enrolled 723 adults in urban Dhaka who had received COVID-19 booster doses within the last six months. Participants were grouped based on homologous or heterologous booster vaccination. Data were collected through structured household surveys, and 2 mL blood samples were collected for measuring antibody titers. Results: Heterologous booster recipients showed higher median antibody titers (8597.0 U/mL, IQR 5053.0–15,482.3) compared to homologous recipients (6958.0 U/mL, IQR 3974.0–12,728.5). In the adjusted analysis, the type of booster dose had no significant impact on antibody levels. However, the duration since the last booster dose was significantly associated with antibody levels, where each additional month since receiving the booster corresponded to approximately a 15–16% reduction in antibody levels (Adj. coeff: 0.85, 95% CI: 0.81, 0.88; p < 0.001). Participants over 40 years demonstrated higher antibody levels than younger individuals (Adj. coeff: 1.23, 95% CI: 1.07, 1.43; p = 0.005). Sex, BMI, and prior COVID-19 infection showed no significant associations with antibody levels after adjustment. Conclusion: The results underscore the complexity of immune responses across different demographic groups and suggest potential benefits of ongoing heterologous booster strategies in sustaining immunity. Full article

Population growth, urbanization, and changing consumption patterns are contributing to an increase in household waste production, particularly in sub-Saharan Africa. Composting of biowaste presents a sustainable solution by reducing the volume of waste sent to landfills while enriching the soil. The main objective of this study was to evaluate the suitability of solid household biowaste for composting in market garden crops in Dolisie (the Republic of Congo). Specifically, the study aimed to (i) assess the production and management practices of solid household waste in relation to socio-economic factors, (ii) analyze the chemical composition of solid household biowaste and its concentration of trace elements (TEs), and (iii) determine the potential phytotoxicity of solid household biowaste across different production seasons. In this study, wastes were collected from 40 households over a 60-day period, with daily sorting conducted during both the dry and wet seasons. Using a completely randomized design, various compost application rates were incorporated into the soil to conduct a germination test. The quality of the biowaste and compost was evaluated through physicochemical analyses. Results showed that approximately 90% of high-income households received regular waste collection services and practiced waste separation in contrast to middle- and low-income households. The composition of the biowaste was primarily composed of fruit and vegetable scraps, with slight contamination by chromium and cadmium. Temperature, pH, and humidity levels showed similar trends during compost formation in both the rainy and dry seasons. Germination rates were above 80% in all treatments across both seasons, indicating that the compost was mature. Overall, all physicochemical parameters of the compost met established quality standards, and trace element concentrations were below the recommended thresholds. The study concluded that biowaste, once converted into compost, can be safely applied to agricultural soils without posing any risk of phytotoxicity or contamination to crops. Full article

Background: Daily-use products, including personal care products, household products, and dietary supplements, often contain ingredients that raise concerns regarding harmful chemical exposure. Endocrine-disrupting chemicals (EDCs) found in daily-use products are associated with numerous adverse health effects. Methods: This pilot study explores the relationship between concentrations of EDCs in urine samples and products used 24 h prior to sample collection, and ingredients of concern in those products, in 140 adults of reproductive age in Northern Nevada. Results: Having higher numbers of products and ingredients of concern, especially in the personal care category, was associated with higher levels of mono-(-ethyl-5-carboxypentyl) phthalate (MECPP). Similarly, taking more supplements was associated with higher levels of methylparaben (MePB). In contrast, using household products with more ingredients of concern was associated with lower levels of monobutyl phthalate (MBP). Generally, women used more products, were exposed to more ingredients of concern and had higher urinary metabolites than men. Participants who rated themselves as being in poor/fair health were exposed to more personal care and supplement ingredients of concern than those in better health. Interestingly, those in excellent health also took supplements with more ingredients of concern. Conclusions: Greater product use and more ingredients of concern are associated with urinary metabolites of known EDCs and self-ratings of poor health. Women and people who take supplements are at greater risk, and even people who consider themselves to be healthy can be highly exposed. More education among the general public is needed to make people aware of the presence of these chemicals in their everyday products so they can make efforts to avoid them. Full article

Financial inclusion can boost wealth, health, and quality of life. However, few studies have examined how women’s participation in community-based financial inclusion opportunities, such as village saving and loan groups (VSLGs), relates to household food security. Using program data from central Mozambique, this study examined whether low-income women’s participation in VSLGs directly increases household food availability, as well as indirectly through increased asset ownership. Employing a post-test-only comparison group quasi-experimental design, the study sampled 205 female VSLG participants and non-participants from three sub-villages in Mozambique’s Sofala province. Structural equation modeling (SEM) results indicated that low-income women’s participation in VSLGs is directly associated with a reduction in household hunger score (β = −0.21, p < 0.01), as well as indirectly associated through the mediating role of household assets ([Sobel indirect effect] = −0.06, p = 0.05). The VSLG participants showed a significant increase in household asset ownership compared to non-VSLG participants (β = 0.15, p < 0.05). Further, increased asset ownership significantly correlated with a lower probability of household hunger (β = −0.30, p < 0.01). The results suggest that community-based financial inclusion approaches could improve the availability of food through asset building among Mozambique’s low-income women. The study offers a potential strategy for policymakers and development experts to utilize community approaches to financial inclusion to improve rural and low-income women’s livelihoods. Full article

Understanding the characteristics of biogas demand in rural areas is essential for on-demand biogas production and fossil fuel offsetting. However, the spatiotemporal features of rural household energy consumption are unclear. This paper developed a rural biogas demand forecasting model (RBDM) based on the hourly loads of different energy types in rural China. The model requires only a small amount of publicly available input data. The model was verified using household energy survey data collected from five Chinese provinces and one year’s data from a village-scale biogas plant. The results showed that the predicted and measured biogas consumption and dynamic load were consistent. The relative error of village biogas consumption was 11.45%, and the dynamic load showed seasonal fluctuations. Seasonal correction factors were incorporated to improve the model’s accuracy and practicality. The accuracy of the RBDM was 19.27% higher than that of a static energy prediction model. Future research should verify the model using additional cases to guide the design of accurate biogas production and distribution systems. Full article

We use the microeconomic theory that takes into account household production and human activity in the non-market sphere to analyze the phenomena of a macroeconomic nature. We check the activation of women in the labor market, a phenomenon observed in Western European countries and the United States, among others. The decision to become economically active reduces the opportunity to devote time to previously undertaken activities, including a reduction in the time spent on housework. This often involves a significant change in the structure of consumption, which, at the macroeconomic level, is associated with the creation of new jobs and a change in the structure of the economy. Structural change is understood as the transfer of economic activity between the three main sectors of the system, namely agriculture, industry and services. This study uses microeconomic data from two waves of the TUS in Poland. The so-called marketization hypothesis was tested separately for three groups of women aged 18–24, 25–44 and 45–59. When estimating the parameters of the models, characteristics such as having a partner, having children under six and educational attainment were taken into account. The calculations show that women aged 25–44 are relatively active in the labor market, but it is those aged 18–24 who fulfill all of the conditions that support the marketization hypothesis. Full article

Introduction: Undernutrition in low- and middle-income countries (LMICs) remains a leading public health challenge. It accounts for one-third of the under-five mortality rate in sub-Saharan Africa (SSA). This study applied the composite index of anthropometric failure (CIAF) to assess the prevalence of various standalone and coexisting forms of undernutrition and identify associated risk factors. Methods: Nationally representative demographic health survey (DHS) data from 26 SSA countries were used. A multilevel multinomial logistic regression analysis was conducted considering the hierarchical nature of DHS data and more than two categories of outcome variable. Four models were fitted and the model with the highest log-likelihood and lowest deviance was chosen as the best-fitted model. The adjusted relative risk ratio (aRRR) with its corresponding 95% confidence interval (CI) was presented as a measure of the effect. Results: The overall prevalence of undernutrition among under-five children in SSA was 34.59% (95% CI: 34.35–34.82). Additionally, 20.49% (95% CI: 20.30–20.69) and 14.09% (95% CI: 13.92–14.26) of under-five children had standalone and coexisting undernutrition, respectively. The mother’s educational level and household wealth status were the most significant shared drivers for standalone and coexisting undernutrition. On the other hand, child and health service factors were differentiating factors between standalone and coexisting undernutrition. Age of the child, sex of the child, type of birth, birth weight, adherence to age-appropriate feeding, antenatal care visit (ANC), place of delivery, and maternal educational status were the most significant determinants of various undernutrition forms in 0–23-month-old children. For 24–59-month-old children, age of the child, sex of the child, type of birth, household wealth status, and maternal education were identified as the main determinants of different forms of undernutrition. Conclusions: Our analysis revealed that distal factors were shared risk factors among standalone and coexisting forms of undernutrition. However, proximal and intermediate factors varied in the type and strength of the association between standalone and coexisting undernutrition. This implies that holistic and category-specific strategies are needed to significantly reduce undernutrition among under-five children in SSA. Full article

This study proposes a multi-energy complementary heating system that uses solar energy combined with biomass energy as the main heat source, with electricity as an auxiliary heat source. The system aims to tackle the low efficiency, high energy consumption, and pollution associated with traditional heating methods in rural southern Xinjiang, enhancing performance and productivity. It is designed to operate in five modes based on the region’s climate and building heat load requirements. An experimental platform was set up in eight rural households in Tumushuk City, Xinjiang, where winter heating tests were conducted. The goal of this study was to analyze the economic and environmental benefits of the system. The results showed that the energy utilization efficiencies of the five modes were 56.84%, 74.34%, 70.1%, 63.13%, and 59.68%. The corresponding CO₂ emissions were 3.56 kg/d, 45.09 kg/d, 105.75 kg/d, 30.97 kg/d, and 76.79 kg/d. The environmental and economic costs for each mode were 0.0493 USD/d, 0.6398 USD/d, 1.5029 USD/d, 0.4384 USD/d, and 1.0905 USD/d. It is clear that as an auxiliary heat source, biomass energy is more beneficial than electricity. All five modes maintained indoor temperatures of 18 °C or higher, meeting winter heating needs in cold regions. The results of this study provide important data support for the promotion and application of solar and biomass heating systems in the rural areas of southern Xinjiang and also provide valuable references for solving the problem of decentralized heating in rural areas. Full article

Background/Objectives: The COVID-19 pandemic created a growing need for insights into the mental health of children and youth and their use of coping mechanisms during this period. We assessed mood symptoms and related factors among children and youth in Saskatchewan. We examined if coping abilities mediated the relationship between risk factors and mood states. Methods: “See Us, Hear Us 2.0”, a cross-sectional study of 563 child–parent dyads, provided the data. The dependent variable, current mood state, was measured by the CoRonavIruS health Impact Survey (CRISIS) scale. Independent variables included sociodemographics, behaviors, household conditions, and coping ability. Multiple linear regression and mediation analyses were conducted, ensuring sample representativeness with sampling weights and addressing missing data through multiple imputations. Results: The participants reported mood symptoms (“moderate” to “extreme”) ranging from 23% to 38% on the CRISIS scale. Factors such as older children, hybrid learning, disrupted activities, and increased screen time worsened moods. The ethnic minority groups (BIPOC) living in mid-sized cities/towns experienced more negative moods compared to Whites residing in cities. Coping ability mediated the relationship between extracurricular activities and mood states. Conclusions: Our results underscore the importance of tailored interventions, recognizing the diverse needs of specific age groups, gender identities, and ethnicities and addressing the adverse effects of the pandemic-related disruptions on the mental health and well-being of school children in Saskatchewan. Our study also suggests prioritizing the diverse needs of children and youth during the planning and implementation of mental health services in the province. Full article

The energy sector plays a vital role in driving environmental and social advancements. Accurately predicting energy demand across various time frames offers numerous benefits, such as facilitating a sustainable transition and planning of energy resources. This research focuses on predicting energy consumption using three individual models: Prophet, eXtreme Gradient Boosting (XGBoost), and long short-term memory (LSTM). Additionally, it proposes an ensemble model that combines the predictions from all three to enhance overall accuracy. This approach aims to leverage the strengths of each model for better prediction performance. We examine the accuracy of an ensemble model using Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Root Mean Square Error (RMSE) through means of resource allocation. The research investigates the use of real data from smart meters gathered from 5567 London residences as part of the UK Power Networks-led Low Carbon London project from the London Datastore. The performance of each individual model was recorded as follows: 62.96% for the Prophet model, 70.37% for LSTM, and 66.66% for XGBoost. In contrast, the proposed ensemble model, which combines LSTM, Prophet, and XGBoost, achieved an impressive accuracy of 81.48%, surpassing the individual models. The findings of this study indicate that the proposed model enhances energy efficiency and supports the transition towards a sustainable energy future. Consequently, it can accurately forecast the maximum loads of distribution networks for London households. In addition, this work contributes to the improvement of load forecasting for distribution networks, which can guide higher authorities in developing sustainable energy consumption plans. Full article

Insufficient access to high-quality feed in sufficient amounts is hindering the sustainable growth of the Indian cattle sector. The feed supply is negatively impacted by increased cropping intensity, limited grazing land, and the effects of climate change. Therefore, developing cost-effective methods to improve feed availability year-round is crucial. Improved planted forages, such as Napier grass, are recommended to address feed shortages in semi-arid agroecological regions in India. The study, using the PSM approach, investigates the socioeconomic factors that impact Napier adoption, its influence on enhanced milk output, time saved in livestock farming, farmers’ well-being, and livestock health. This study employed a multistage sampling method to choose 309 participants for the questionnaire survey. Our analysis shows that Napier adoption resulted in a 24.6% rise in daily milk output/cow and a 61.2% overall improvement in total milk production/year/cow when compared with baseline data. Napier’s adoption decreased livestock farming times by 30 min/cow. Additionally, women’s involvement in livestock farming improved with Napier farming, and farmers who have switched to Napier have seen a remarkable increase in their net income, with a monthly boost of Rs. 2044–2555 per cow. Additionally, daily milk consumption has also skyrocketed, with a remarkable enhancement of 143–153 mL per person daily. Our study highlights that the farmer’s age, education level, livestock unit, and land holding play a crucial role. Additionally, the availability of extension services and farmer group participation can further impact the adoption process. Furthermore, our study explores how these factors shape the decision-making process and drive the successful integration of Napier grass into farming practices. However, considering the spatial limitations and reliance on self-reported data in this study, we suggest future research examining the long-term effects of Napier grass adoption on climate-smart agricultural practices, soil moisture, and socioeconomic benefits, involving field experiments, modeling, and farmer participation. Full article