Search Results (205)

Fused deposition modeling (FDM) suffers from unpredictable mechanical properties in nominally identical prints. Current quality assurance relies on destructive testing or expensive post-process inspection, while existing machine learning approaches focus primarily on printing parameters rather than real-time thermal environments. The objective of this proof-of-concept study is to develop a low-cost, non-destructive framework for predicting tensile strength during FDM printing by directly measuring convective thermal gradients surrounding the print. To accomplish this, we introduce thermal fingerprinting: a novel non-destructive technique that combines Background-Oriented Schlieren (BOS) imaging with machine learning to predict tensile strength during printing. We captured thermal gradient fields surrounding PLA specimens (n = 30) under six controlled cooling conditions using consumer-grade equipment (Nikon D750 camera, household hairdryers) to demonstrate low-cost implementation feasibility. BOS imaging was performed at nine critical layers during printing, generating thermal gradient data that was processed into features for analysis. Our initial dual-model ensemble system successfully classified cooling conditions (100%) and showed promising correlations with tensile strength (initial 80/20 train–test validation: R² = 0.808, MAE = 0.279 MPa). However, more rigorous cross-validation revealed the need for larger datasets to achieve robust generalization (five-fold cross-validation R² = 0.301, MAE = 0.509 MPa), highlighting typical challenges in small-sample machine learning applications. This work represents the first successful application of Schlieren imaging to polymer additive manufacturing and establishes a methodological framework for real-time quality prediction. The demonstrated framework is directly applicable to real-time, non-contact quality assurance in FDM systems, enabling on-the-fly identification of mechanically unreliable prints in laboratory, industrial, and distributed manufacturing environments without interrupting production. Full article

The expansion of Internet of Things (IoT) devices in domestic smart homes has created new conveniences but also significant security risks. Insecure firmware, weak authentication and weak encryption leave households exposed to privacy breaches, data leakage and systemic attacks. Although research has addressed several challenges, contributions remain fragmented and difficult for non-technical users to apply. This work addresses the following research question: How can a theoretical framework be developed to enable automated vulnerability scanning and prioritisation for non-technical users in domestic IoT environments? A Systematic Literature Review of 40 peer-reviewed studies, conducted under PRISMA 2020 guidelines, identified four structural gaps: dispersed vulnerability knowledge, fragmented scanning approaches, over-reliance on technical severity in prioritisation and weak protocol standardisation. The paper introduces a four-module framework: a Vulnerability Knowledge Base, an Automated Scanning Engine, a Context-Aware Prioritisation Module and a Standardisation and Interoperability Layer. The framework advances knowledge by integrating previously siloed approaches into a layered and iterative artefact tailored to households. While limited to conceptual evaluation, the framework establishes a foundation for future work in prototype development, household usability studies and empirical validation. By addressing fragmented evidence with a coherent and adaptive design, the study contributes to both academic understanding and practical resilience, offering a pathway toward more secure and trustworthy domestic IoT ecosystems. Full article

Synthetic surfactants are currently the most commonly used agents in human cosmetics and household chemicals. However, there are increasingly frequent reports of cases showing the negative impact of these surfactants on human skin. Out of concern for users, many companies, including those originating in the automotive chemicals industry, are increasingly turning to surfactants that are more dermatologically friendly and non-toxic to the environment. The following study aimed to examine two custom-developed car shampoo concentrates based on highly biodegradable raw materials and to analyse their impact on selected skin parameters. The research included semi-contact patch tests and in vivo instrumental tests on a group of volunteers, measuring the following parameters: skin moisturising, transepidermal water loss (TEWL), pH, roughness, smoothness, and skin scaliness. Both products showed very good dermatological tolerance, without causing drastic or long-lasting changes in selected skin parameters. The results of the tests confirmed that both car products can represent a safe alternative for everyday use, in accordance with the principles of green chemistry. Full article

The increasing penetration of electric vehicles (EVs) and rooftop photovoltaics (PV) is intensifying the variability and uncertainty of residential net demand, thereby challenging real-time operation in smart grids and microgrids. The purpose of this study is to develop and evaluate an accurate and operationally relevant short-term forecasting framework that jointly models household net demand and EV charging behaviour. To this end, a Residual-Normalised Multi-Task GRU (RN-MTGRU) architecture is proposed, enabling the simultaneous learning of shared temporal patterns across interdependent energy streams while maintaining robustness under highly non-stationary conditions. Using one-minute resolution measurements of household demand, PV generation, EV charging activity, and weather variables, the proposed model consistently outperforms benchmark forecasting approaches across 1–30 min horizons, with the largest performance gains observed during periods of rapid load variation. Beyond predictive accuracy, the relevance of the proposed approach is demonstrated through a demand response case study, where forecast-informed control leads to substantial reductions in daily peak demand on critical days and a measurable annual increase in PV self-consumption. These results highlight the practical significance of the RN-MTGRU as a scalable forecasting solution that enhances local flexibility, supports renewable integration, and strengthens real-time decision-making in residential smart grid environments. Full article

This study examines the suitability of multifamily housing for young families in Riyadh in the context of rapid urban growth and rising housing demand. Although apartments are increasingly promoted as efficient and sustainable housing options, limited evidence exists on whether they align with the cultural expectations, affordability constraints, and spatial needs of young Saudi households. A questionnaire of 639 respondents was conducted between January and March 2024, and the data were analysed using a combination of non-parametric and regression-based statistical techniques. Findings show that affordability is the primary barrier to ownership, with married and larger households experiencing the greatest financial pressure. Construction quality, security, room number, and location were the most valued apartment attributes, while stylistic features were less influential. Preferences for full-service gated complexes reflect the importance of privacy, safety, and structured community environments. The data analysis indicates that family size and perceived price-income suitability shape ownership intentions, although the overall model fit suggests additional institutional and market constraints. The study concludes that improving multifamily housing for young families requires integrated policy responses linking affordability measures, governance and building management reforms, and culturally responsive design standards to support the aims of sustainable urban development. Full article

This study aimed to determine carbonyl compound concentrations and assess their potential health risk in indoor air at three homes in different areas of the Mexico City Metropolitan Area (MCMA) during the COVID-19 lockdown. Sampling was conducted from March to April 2021, during the home office confinement period. Average concentrations of formaldehyde, acetaldehyde, acrolein, acetone, propionaldehyde, and butyraldehyde in living rooms ranged from 84.15 to 74.93 μg m⁻³, 66.49 to 50.20 μg m⁻³, 60.01 to 41.35 μg m⁻³, 74.58 to 63.02 μg m⁻³, 10.90 to 6.21 μg m⁻³, and 12.45 to 9.91 μg m⁻³, respectively. In bedrooms, concentrations ranged from 84.76 to 59.70 μg m⁻³, 50.12 to 51.73 μg m⁻³, 59.74 to 37.25 μg m⁻³, 76.62 to 59.72 μg m⁻³, 14.45 to 8.40 μg m⁻³, and 10.72 to 8.82 μg m⁻³, respectively. All measured carbonyls had significant indoor concentrations, exceeding those reported in other studies worldwide. From the statistical analysis, it was found that there were significant differences in carbonyl levels between the studied homes. This suggests diverse and prevalent sources in these environments. E-cigarette vapors clearly increased acrolein levels, and the use of personal care and household products (PCHPs) also contributed to higher carbonyl concentrations indoors. The lifetime cancer risk coefficient (LTCR) and hazard quotient (HQ) values for formaldehyde and acetaldehyde exceeded WHO and US EPA recommendations, indicating increased risks of both carcinogenic and non-carcinogenic effects. Full article

Against the backdrop of growing global environmental crises, achieving sustainability in rural areas—where economic development, ecological conservation, and social equity often intersect—has become increasingly urgent. Sustainable development theory stresses the need to turn environmental awareness into concrete action, yet in practice, a puzzling gap often remains, especially in developing contexts such as China. Why do rural residents sometimes engage in pro-environment behaviors even when their expressed awareness or willingness seems limited? To explore this question, we conducted a study in Li County, China, combining field research with regression and path analysis across three spatial dimensions: production, ecological, and living spaces. Our findings reveal a notable divergence: farmers’ environmental actions frequently surpass their cognitive understanding and stated willingness to participate in governance. This suggests that the influence of environmental cognition and participation willingness on behavior varies across different spatial contexts. We also find that household demographic and geographic attributes not only directly shape involvement in environmental governance but also mediate the relationship between cognition, willingness, and action. By untangling these complex linkages, our study offers a more nuanced understanding of rural environmental governance. We argue for governance approaches that are spatially sensitive and participatory, capable of accounting for the often non-linear pathways from perception to intent to behavior. The insights from Li County provide a valuable empirical basis for designing spatially differentiated and participatory governance policies. These findings are crucial for promoting effective environmental stewardship and achieving sustainable development goals in rural communities globally. Full article

Heavy metals (HMs) were originally formed in the universe long before human evolution and are now ubiquitous in the environment, where some HMs are good as essential elements for human health while others are not. The purpose of this analytical review is to provide an updated clinical overview on health risks attributable to drinking water containing specific HMs and to discuss new aspects of molecular steps leading to disrupted diseases. This approach was favored because the study cohorts were homogeneous, since exposed individuals lived in households where all members had access to the same drinking water of constant quality. Among the HMs under consideration, aluminum, arsenic, cadmium, chromium, copper, iron, lead, manganese, and mercury were detected in drinking water and represented a health risk if levels were above thresholds recommended by national and international regulatory authorities. For example, (1) aluminum increased the risk of dementia and Alzheimer’s disease; (2) arsenic was associated with the development of bladder cancer; (3) cadmium increased the no-carcinogenic, as well as the carcinogenic, health risk; (4) chromium was considered as a risk factor for liver and kidney injury, as well cancer development; (5) copper contributed to cognitive impairment in the aging population and Alzheimer’s disease; (6) iron increased the non-carcinogenic health risk; (7) lead impaired neurodevelopmental functions in children; (8) manganese increased the risk of attention-deficit hyperactivity disorder (ADHD); and (9) mercury was causally related to chronic kidney disease. In contrast, for nickel and zinc, no overt health risks have been reported, likely due to low levels in the drinking water, attributable to their low water solubility. Of note is the good news that some HMs represent essential elements for human health. In essence, many HMs were detected in drinking water and exerted non-carcinogenic or carcinogenetic health risks, requiring proactive management of national and international regulatory authorities. Full article

Background/Objectives: Childhood obesity and nutritional inequalities remain major public health challenges, particularly in socioeconomically disadvantaged settings. In Spain, these disparities are reflected in unequal access to healthy food and differing health outcomes among the young population. This study aimed to explore how social vulnerability influences dietary patterns, body composition, and food insecurity among children and adolescents, with a particular focus on sex differences. Methods: A descriptive cross-sectional study was conducted with 280 participants aged 6 to 15 years old, recruited from urban areas across Spain. Two groups were evaluated, a socioeconomically vulnerable group (VG) (n = 175) and a non-vulnerable group (NVG) (n = 105), classified according to socioeconomic and social established criteria. Validated tools were used to assess diet quality, adherence to the Mediterranean Diet (MD), consumption of ultra-processed foods (UPF), and household food insecurity. Anthropometric measurements were also collected, and body mass index (BMI) was calculated using both national and international reference standards. Results: Vulnerable children and adolescents showed higher prevalence of food insecurity, less favorable body composition indicators, and lower global dietary quality, characterized by lower adherence to the MD and higher consumption of UPF. Multivariate analysis confirmed that socioeconomic vulnerability was significantly associated with female sex, higher BMI, lower adherence to the MD, and greater consumption of UPF. Conclusions: Our findings highlight a concerning pattern of health and nutritional inequality among children and adolescents based on socioeconomic status. There is a clear and urgent need for effective public health strategies with an equity focus that promote healthy and affordable eating habits from early life, especially in the most disadvantaged environments and targeted by gender. Full article

This study aimed to examine the potential influence of backyard poultry farming, which can be readily established in urban and peri-urban environments, on the production capacity of backyard poultry and its potential contribution to food security among low-income households. Publicly accessible secondary microdata from the 2022 Bangladesh Demographic and Health Survey were used. To account for the non-random nature of backyard poultry-keeping decisions, the Heckman selection model was applied to estimate both the probability of engaging in poultry farming and the number of birds raised. The study revealed that over 20% of urban households and more than 30% of the poorest 11% households engaged in poultry farming. Although the number of birds raised is generally lower, the proportion of households raising poultry is higher among poorer households than among wealthier households. Among the poorest 11% households, the estimated per capita production of meat and eggs from backyard poultry farming was expected to be 5.4 g and 6.8 g per day, respectively. Due to data constraints, we compare production estimates with stratum-level consumption averages, providing an indication of potential contribution rather than household-level self-sufficiency. This comparison suggests that backyard poultry could serve as an important supplementary source, potentially contributing to approximately 15% of meat consumption and 47% of egg consumption for participating households from the lowest income strata. Full article

The rapid popularization of digital technology is profoundly altering the employment landscape; especially in rural areas, the digital economy has opened up unprecedented channels to narrow the gender gap in non-agricultural employment. This study utilizes data from the China Family Panel Studies (CFPS) from 2014 to 2020, employing a two-way fixed effects model to systematically examine the impact of digital literacy on the non-agricultural employment transition of rural women. The findings demonstrate that integrating social learning theory with digital empowerment theory establishes a dual-pathway analytical framework for examining psychological capital and information environments. Through skill development and resource optimization, digital literacy significantly enhances rural women’s employment participation and occupational re-adaptability, with these effects varying across regions and generations. Furthermore, the study reveals how household economic resources and regional development levels exert differential influences on these outcomes by affecting the acquisition and application of digital skills. These findings expand theoretical understanding of non-agricultural employment mechanisms in the digital era and offer practical policy insights. They also provide evidence-based strategies for enhancing women’s employment quality, advancing gender equality, and promoting rural revitalization, offering valuable guidance for developing countries navigating employment challenges through digital transformation. Full article

Wearable, rectifiable aerosol photometers (WRAPs), instruments with combined nephelometer and on-board filter-based sampling capabilities, generally show strong correlations with reference instruments across a range of ambient and household PM_2.5 concentrations. However, limited data exist on their performance when challenged by mixed aerosol exposures, such as those found in dusty occupational environments. Understanding how these instruments perform across a spectrum of environments is critical, as they are increasingly used in human health studies, including those in which concurrent PM_2.5 and coarse dust exposures occur simultaneously. The authors collected co-located, ~24 h. breathing zone gravimetric and nephelometer PM_2.5 measures using the MicroPEM v3.2A (RTI International) and the UPAS v2.1 PLUS (Access Sensor Technologies). Samples were collected from adult brick workers (n = 93) in Nepal during work and non-work activities. Median gravimetric/arithmetic mean (AM) PM_2.5 concentrations for the MicroPEM and UPAS were 207.06 (interquartile range [IQR]: 216.24) and 737.74 (IQR: 1399.98) µg/m³, respectively (p < 0.0001), with a concordance correlation coefficient (CCC) of 0.26. The median stabilized inverse probability-weighted nephelometer PM_2.5 concentrations, after gravimetric correction, for the MicroPEM and UPAS were 169.16 (IQR: 204.98) and 594.08 (IQR: 1001.00) µg/m³, respectively (p-value < 0.0001), with a CCC of 0.31. Digital microscope photos and electron micrographs of filters confirmed large particle breakthrough for both instruments. A possible explanation is that the miniaturized pre-separators were overwhelmed by high dust exposures. This study was unique in that it evaluated personal PM_2.5 monitors in a high dust occupational environment using both gravimetric and nephelometer-based measures. Our findings suggest that WRAPs may substantially overestimate personal PM_2.5 exposures in environments with concurrently high PM_2.5 and coarse dust levels, likely due to large particle breakthrough. This overestimation may obscure associations between exposures and health outcomes. For personal PM_2.5 monitoring in dusty environments, the authors recommend traditional pump and cyclone or impaction-based sampling methods in the interim while miniaturized pre-separators for WRAPs are designed and validated for use in high dust environments. Full article

Background and Objectives: This study examined associations between physical activity, body perception, and self-rated health (SRH) in a nationally representative sample of Korean adults. Materials and Methods: This study analyzed data from the 2023 Korea Community Health Survey (n = 228,249 adults aged ≥19). Variables included Body Mass Index (BMI), body perception, and participation in walking and stretching. Complex sample t-tests and one-way ANOVA were used to examine group differences in BMI, body perception, and self-rated health (SRH). Comparisons were made across gender, age groups, residential environment (metropolitan vs. non-metropolitan), and household size. Results: Mean BMI was highest in individuals in their 30s and was lowest in those aged 80 and above (p < 0.001). Females reported lower BMIs and more positive SRH than males (p < 0.001). Metropolitan residents and individuals in larger households showed higher physical activity rates and more favorable SRH (p < 0.001). SRH and physical activity declined with age, while exercise participation was higher among individuals with higher BMI or self-perceived overweight status (p < 0.001). Although the direction of this association should be interpreted with caution. Conclusions: Age, gender, residence, and household composition significantly influenced physical activity and SRH. These findings highlight the need to prioritize interventions for older adults, single-person households, and non-metropolitan populations. Full article

Indoor air pollution has become a significant concern, contributing to the decline in air quality through the presence of gaseous pollutants and particulate matter, especially under poor ventilation. Hospitals, functioning as non-industrial microenvironments, particularly in Thailand, face challenges due to insufficient and incomplete databases for effective air quality management. Within these environments, patients with heightened sensitivity, along with hospital staff who are predominantly exposed indoors, face increased risk of exposure to indoor air pollutants. This study aimed to review current evidence on VOCs in hospital settings in Thailand, identifying their sources, concentrations, and health impacts. It also aimed to provide recommendations for improved air quality monitoring and management. The review included studies published between 2008 and 2023 in English or Thai. Studies were selected based on relevance to VOCs in hospital environments, while excluding those lacking sufficient data or methodological rigor. Literature searches were conducted using Google Scholar, ScienceDirect, Scopus, and PubMed. Results from international studies were also considered to address gaps. Data extraction focused on VOC sources, concentrations, measurement methods, and associated health impacts. Results were synthesized into six thematic categories: characterization, health effects, control measures, etiological studies, monitoring systems, and comparative studies. The review identified 87 relevant studies. VOC exposure was associated with several adverse health impacts resulting from short- and long-term exposures, leading to an increased risk of cancer. Identified sources of VOC emissions within hospitals encompass anesthetic gases, sterilization processes, pharmaceuticals, laboratory chemicals, patient care, and household products, as well as building materials and furnishings. Commonly encountered VOCs include alcohols (e.g., ethanol, 2-methyl-2-propanol, isopropanol), ether, isoflurane, nitrous oxide, sevoflurane, chlorine, formaldehyde, aromatic hydrocarbons, limonene, and glutaraldehyde, among those commonly detected in hospital environments. Yet, limited knowledge exists regarding their source contributions, emissions, and concentrations associated with health impacts in Thai hospitals. Full article

The synthesis of new molecularly imprinted polyurethane foam (MIPUF) using an herbicide of atrazine (Atz) as a template for selective solid-phase extraction for Atz was proposed for the first time. The MIPUF was simply synthesized under mild conditions, without requiring an oxygen-free environment. Some household apparatuses were adapted for the preparation, such as a plastic cup and bamboo chopstick. The ready-to-use MIPUF minicolumns could be obtained within 4 h with more than 10 minicolumns. The proposed material was characterized using FT-IR and SEM. The MIPUF minicolumn was used in a solid-phase extraction. The eluate of free Atz was determined using the fluorescence technique without further derivatization at 343 nm. The MIPUF offered a good sensitivity and selectivity over non-molecularly imprinted polyurethane foam (NIPUF), enhancing fluorescence intensity by 15.6 times. The linear equation and linear range for Atz detection at y = 87.25x + 311.58, R² = 0.9887 and 0.2–1.0 µM were obtained. The LOD and LOQ were 35 and 110 nM, respectively. The MIPUF revealed a more selective Atz than some potential pesticides. The ready-to-use minicolumn has been used for sample preparation and Atz assays in surface water in orchards and river water samples with recoveries (%) at 90–110%. Full article