Search Results (741)

Against the backdrop of global climate change and China’s “dual-carbon” goals, carbon emissions from the construction phase of transportation infrastructure, particularly the rapidly expanding railway network, have garnered significant attention. However, systematic research and general evaluation models targeting the factors influencing carbon emissions during the railway bridge construction phase remain insufficient. To address this gap, this study presents a novel low-carbon evaluation model that integrates the analytic network process (ANP) and the fuzzy comprehensive evaluation (FCE) method. First, a carbon accounting model covering four stages—material production, transportation, construction, and maintenance—is established based on life cycle assessment (LCA) theory, providing a data foundation. Second, an innovative low-carbon evaluation index system for railway bridges, comprising 5 criterion layers and 23 indicator layers, is constructed. The ANP method is employed to calculate weights, effectively capturing the interdependencies among indicators, while the FCE method handles assessment ambiguities, forming a comprehensive evaluation framework. A case study of the bridge demonstrates the model’s effectiveness, yielding an evaluation score of 82.38 (“excellent” grade), which is consistent with expert judgement. The ranking of indicator weights from the model is highly consistent with the actual carbon emission inventory ranking (Spearman coefficient of 0.714). Key indicators—C21 (use of high-performance materials), C22 (concrete consumption), and C25 (transportation energy consumption)—collectively account for approximately 60% of the total impact, accurately identifying the major emission sources. This research not only verifies the model’s efficacy in pinpointing critical carbon sources but also provides a scientific theoretical basis and practical tool for low-carbon decision-making and optimization in the planning and design stages of railway bridge projects. Full article

The article presents a method that supports the evaluation of design manufacturability in the area of input material selection, enabling the reduction in material diversity under single-piece and small-batch production conditions. The proposed approach combines the analysis of alternative materials with activity-based costing (ABC) and data concerning actual and planned material requirements. The method enables the assessment of the impact of semi-finished product substitution on material costs, processing costs, production organisation, and material-management costs before order execution is launched. In the conducted case study, it was demonstrated that effective management of material diversity can significantly reduce the range of materials and decrease total manufacturing costs. For the analysed period, the number of material items was reduced from 32 to 19 (a 41% reduction), resulting in cost savings of approximately 11,000 PLN. In addition to total cost, the approach supports the assessment of operational benefits associated with reduced material diversity, such as a lower number of material items, fewer suppliers, reduced inbound inspection and receipt operations, and decreased inventory levels and capital tied up in stock. Material substitution may decrease or increase direct material costs and may increase machining time when larger dimensions are used; therefore, the method jointly evaluates cost and lead-time impacts prior to order release. The results confirm that integrating design, technological, and logistics data is an effective approach to rationalising material management in machinery manufacturing enterprises. Full article

Background/Objectives: Burning Mouth Syndrome (BMS) is a common oral condition in older women and is characterized by a multifactorial etiology. To date, no standardized treatment strategy has been established. The aim of this study was to evaluate the effectiveness of topical application of capsaicin (0.025 mg/cm²) in the form of a mucoadhesive bilayer polymer reducing burning sensations in BMS. The study assessed levels of depression, sleep disturbances, and quality of life. Material and Methods: The proof-of-concept study included 29 patients with symptoms of BMS. The peripheral origin of BMS was confirmed by lingual nerve block. Pain intensity was assessed using the Numeric Rating Scale (NRS-11) and the Short-Form McGill Pain Questionnaire (SF-MPQ). Depression, sleep disturbances, and quality of life were evaluated using the Beck Depression Inventory (BDI), Athens Insomnia Scale (AIS), and WHO Quality of Life Questionnaire (WHOQoL). Results: A reduction in pain was observed in over 86% patients. Decrease in burning at treatment sites was recorded immediately after treatment and also at the 3-month follow-up. Gender, taste disturbances, depression, and age were found to have a significant effect on final NRS-11 scores. Conclusions: Significant reduction in pain intensity was achieved in nearly all treated patients, with adverse effects being rare. Full article

Temperature Swing Absorption (TSA) is the primary candidate for the Isotope Rebalancing and Protium Removal (IRPR) system within the envisioned EU-DEMO fusion reactor fuel cycle. TSA separates a mixed hydrogen isotope stream into two product streams using a semi-continuous process. One stream, enriched in heavy isotopes, is used to re-establish the required deuterium-to-tritium fuel ratio. The second, enriched in protium, is stripped off from the fuel cycle to counteract the protium build-up. Separation is achieved by cycling an isotope mixture between two columns filled with metallic absorption materials that have opposite isotope effects of metal hydride formation. The selection of these materials, the operation parameters and the column geometry allow for adjusting the resulting enrichments. To identify suitable operation parameters, a TSA process model is developed which depicts the process dynamics and interactions between the columns. A modified process operation mode is introduced, which enables higher system throughputs and non-cryogenic operation, i.e., operational temperatures between 0 to 130 °C, while reducing the tritium inventory due to shorter cycling times by reduced amplitudes of the temperature swings. Finally, simulations of a TSA system at relevant scale confirm the suitability of TSA technology for the separation task of the EU-DEMO IRPR system. Full article

This paper presents an energy-focused analysis of structural materials used in passenger cars, with a particular emphasis on the impact of construction materials on total energy consumption throughout the vehicle’s life cycle. Three production periods (2000, 2010, and 2020) were analysed for B- and C-segment vehicles using inventory data from Life Cycle Assessment databases, the scientific literature, and certified dismantling stations. The embodied energy of key material groups—steel, aluminium, plastics, and other materials—was calculated based on representative mass shares and material-specific energy intensity indicators. The computational model was supplemented with statistical analyses (Kolmogorov–Smirnov test, Levene’s test, ANOVA, and Tukey’s post hoc tests) to verify whether observed temporal trends were statistically significant. The results indicate that total material-related energy inputs increased from approximately 57 GJ to 64 GJ per vehicle, while the specific energy intensity per kilogram decreased from 47.6 MJ/kg to 42.6 MJ/kg. Aluminium exhibited a pronounced reduction in unit energy intensity due to the rising share of secondary materials, whereas plastics and other materials showed substantial increases. Steel remained the largest contributor in absolute terms because of its dominant mass share. This study highlights the growing importance of the production phase in the environmental balance of modern vehicles, particularly in the context of the rising share of lightweight materials and recycling-based components. The results emphasise the importance of energy-efficient material use and underscore the significance of material selection and recycling strategies in reducing energy demand within the automotive sector. Full article

Aim of the study: Anxiety about dental treatment is one of the main barriers to accessing dental services and, at the same time, a well-known problem for dentists. The main objective of this observational pilot study was to assess the prevalence and determinants of dental anxiety and severe forms compatible with dental phobia among adult dental patients and to explore their association with psychological distress, as well as patients’ preferences for methods to reduce pain and anxiety during dental treatment. Materials and Methods: We carried out a pilot observational study using two well-established questionnaires, namely the BSI-18 (Brief Symptom Inventory-18), which assesses the psychological distress of patients visiting the dentist, and the DAS (Dental Anxiety Scale), which evaluates dental anxiety toward dental treatment. The questionnaires were administered in independent dental practices in Timisoara, and the study was conducted between August 2024 and January 2025 on a sample of 231 persons. Results: The results of our study revealed a clear link between sources of oral health information, the high prevalence of anxiety as a personality trait, anxiety towards the dentist, and referral to dental services. Conclusions: The intensity of dental anxiety is higher before the therapeutic manoeuvre. It has been found, however, that people who are more educated experience lower levels of anxiety in specific situations. Full article

Lithium–sulfur batteries (LSBs) are a promising emerging technology due to their high energy density, low-cost materials, and safety. However, their environmental sustainability is not yet well understood. This study conducted a prospective life cycle assessment (LCA) on two patented LSB models, using data from patents as the inventory: one with a standard sulfur cathode and another with a graphene–sulfur composite (GSC). The assessment is conducted for a functional unit of 1 Wh of produced electricity, adopting a cradle-to-gate system boundary and a prospective time horizon set to 2035. The LSB GSC model battery showed significantly better performance in terms of climate change and fossil depletion, with a 42% lower impact, mainly due to a reduction in the lithium bis(trifluoromethanesulfonyl)imide (LiTFSI) content from 1205 mg Wh⁻¹ to 250 mg Wh⁻¹. However, the GSC model also had significant drawbacks, showing a 93% higher metal depletion and 49% higher water depletion than the standard sulfur battery. Building on an established patent-based prospective LCA approach, this work applies patent-derived quantitative inventories and patent-informed eco-design analysis to support environmentally informed design decisions for emerging LSB technologies prior to large-scale commercialization. Full article

The rapid commercialization of next-generation photovoltaic (PV) technologies, particularly perovskite, thin-film roll-to-roll (R2R) architectures, and tandem devices, requires robust assessment of environmental performance at the level of industrial manufacturing processes. Environmental impacts can no longer be evaluated solely at the device or module level. Although many life-cycle assessment (LCA) studies compare silicon, cadmium telluride (CdTe), copper indium gallium selenide (CIGS), and perovskite technologies, most rely on aggregated indicators and database-level inventories. Few studies systematically compile and harmonize process-level life-cycle inventories (LCIs) for the manufacturing steps that differentiate emerging industrial routes, such as solution coating, R2R processing, atomic layer deposition, low-temperature annealing, and advanced encapsulation–metallization strategies. In addition, inconsistencies in functional units, system boundaries, electricity-mix assumptions, and scale-up modeling continue to limit meaningful cross-study comparison. To address these gaps, this review (i) compiles and critically analyzes process-resolved LCIs for innovative PV manufacturing routes across laboratory, pilot, and industrial scales; (ii) quantifies sensitivity to scale-up, yield, throughput, and electricity carbon intensity; and (iii) proposes standardized methodological rules and open-access LCI templates to improve reproducibility, comparability, and integration with techno-economic and prospective LCA models. The review also synthesizes current evidence on recycling, circularity, and critical-material management. It highlights that end-of-life (EoL) benefits for emerging PV technologies are highly conditional and remain less mature than for crystalline-silicon systems. By shifting the analytical focus from technology class to manufacturing process and life-cycle configuration, this work provides a harmonized evidence base to support scalable, circular, and low-carbon industrial pathways for next-generation PV technologies. Full article

Background and Objectives: Current evidence remains insufficient to determine whether the impact of autism spectrum disorder (ASD) on dental health is primarily mediated through oral hygiene and dietary habits or through direct effects of the disorder itself. This study examined the theoretical pathways through which ASD severity and toothbrushing-related and dietary-choice-related factors influence dental health in autistic children and adolescents. Materials and Methods: A cross-sectional study was conducted with 399 mothers reporting on their autistic children (aged 2–18 years, mean = 7.8). The exclusion criterion was being older than 18 years. Data included parent-reported data about ASD severity, dental health status, willingness to brush teeth, and dietary quality (assessed using the Diet Quality Inventory). Structural Equation Modeling (SEM) was used to analyze the direct and indirect effects of ASD severity on dental health, with probit regression coefficients estimated using the WLSMV method. Results: Parent-reported variables of ASD severity, diet quality, and toothbrushing willingness together explained 37% of the variance in dental health. The direct effect of ASD severity on dental health was 0.199 (p = 0.039). The indirect effect via toothbrushing was 0.137 (p = 0.006), and via diet quality, it was 0.070 (p = 0.020). The total indirect effect of ASD on dental health was 0.207 (p = 0.026), which was approximately as strong as the direct effect. The associations among the studied variables were statistically equivalent across sex and age groups. Conclusions: Parent-reported ASD severity shows significant association with dental health outcomes, both directly and indirectly, with toothbrushing behavior emerging as the primary mediator. Interventions that promote regular brushing (and, to a lesser extent, healthier eating) may help to reduce the dental health disparities associated with autism. Full article

In a context in which the construction sector is significantly contributing to environmental degradation, LCA (Life Cycle Assessment) is a fundamental tool for analyzing the impact of materials and processes. This systematic literature review highlights the potential of integrating Building Information Modeling (BIM) with LCA to encourage sustainable practices in the construction sector. To this end, a systematic search was conducted in the Scopus and Web of Science (WoS) databases and, after a rigorous selection process, 65 peer-reviewed studies were chosen from an initial pool of 817 records for final analysis. The quantitative analysis of the 65 studies revealed a well-defined technological landscape, demonstrating that BIM–LCA integration can enhance decision-making. The main findings reveal that Autodesk Revit is the prevailing BIM authoring tool, used in 77% of the cases analyzed, establishing itself as the de facto standard for sustainability assessments. Regarding environmental data, the Ecoinvent database was the most cited Life Cycle Inventory (LCI) source, employed in 32% of the selected articles. This review highlights critical issues that hinder its adoption, including interoperability problems with software, a lack of standardized data, and high implementation costs. It is therefore necessary to overcome these barriers to fully exploit this approach and contribute to global sustainability goals, such as reducing CO₂ emissions and waste in the construction sector. Full article

Forested areas in Poland comprise numerous post-mining sites that hinder effective forest management. Such mining remnants may pose a threat to humans, animals, and operating forest machines. This study aimed to determine the feasibility of inventorying such man-made landforms as mining waste heaps, excavations, remnants of shallow shafts, adits, etc., using the Digital Elevation Model (DEM) based on Airborne Laser Scanning (ALS) data provided by the national agency (the Head Office of Geodesy and Cartography—HOGC) as open data. The DEM, when combined with other cartographic materials using GIS, accurately reflects the anthropogenic transformation evident in the topography. This paper presents the results of inventorying remnants of iron ore mining in the present-day forested area located between Krzepice, Kłobuck, and Częstochowa in southern Poland. The identification and inventory of post-mining landforms, mainly mounds resulting from shallow shaft mining operations, were supplemented by their digitization, automatically providing information on parameters such as perimeter (ranged in most cases from 24.3 to 159 m), surface area (46.9 to 1656 m²), length and width (7.8 to 59.2 m). The heights of the investigated structures were also read from the DEM, ranging from 0.3 to 4.1 m. Much larger structures were also identified, but they occurred accidentally (up to 23.5 m in height). In this manner, approximately 823 morphological forms were characterized, resulting in a database. Test fieldwork was then conducted to verify the DEM readings. It was proposed to calculate deformation indexes (Id [%]) for forested areas and apply them when estimating the forest management hindrance index used by the State Forests. The studied forest compartments managed by State Forests were characterized by an Id value from 0.1 to 55.5%. This type of measure provides a helpful tool in planning forestry operations in areas with diverse topography, including those transformed by mining activities. The actual environmental impact is highlighted. Forest management practices in the study area must take into consideration, in particular, topography, as well as geology and hydrology. Studies have shown that the DEM based on the ALS data is sufficiently accurate to detect even minor post-mining deformations (which may be important, in particular, in inaccessible areas). The recorded parameters can be considered when planning management, protection interventions, or reclamation activities. Full article

The sustainable management of sewage sludge (SS) requires comparative evaluations that capture both environmental impacts and the trade-offs associated with emerging and established treatment routes. This study applies life cycle assessment (LCA) to compare hydrothermal carbonization (HTC), rotary kiln pyrolysis, and incineration using SS from the Salitre WWTP in Bogotá, Colombia, based on a life cycle inventory that integrates experimental characterization, Aspen Plus simulations, and Ecoinvent datasets modeled in EASETECH. Thirteen ILCD midpoint impact categories were assessed, and uncertainty was evaluated through global sensitivity analysis (GSA) and Monte Carlo simulations. The results show that the three technologies distribute their impacts differently across categories, as follows: HTC yields reductions in several categories due to carbon storage and fertilizer substitution but presents toxicity-related impacts linked to heavy metal transfer to soils; pyrolysis produces a pyrochar with metal retention and nutrient recovery potential that influences climate and resource-related categories while remaining sensitive to sludge composition; and incineration influences climate categories without the potential toxic effects of using chars in soils, reduces sludge volume, and facilitates subsequent nutrient recovery processes from ash, with lower uncertainty due to its technological stability. These results support circular economy strategies in low- and middle-income countries by clarifying the environmental conditions under which carbonized materials or ash-derived recovery pathways can be incorporated into sludge treatment systems. Full article

Wave energy technology needs to be reliable, efficient, and environmentally sustainable. Therefore, life cycle assessment (LCA) is a critical tool in the design of marine renewable energy devices. However, LCA studies of floating type wave cycloidal rotors remain limited. This study builds on previous work by assessing the cradle-to-grave environmental impacts of a cycloidal rotor wave farm, incorporating updated material inventories, site-dependent energy production, and lifetime extension scenarios. The farm with the steel cyclorotor configuration exhibits a carbon intensity of 21.4 g ${\mathrm{CO}}_2$ eq/kWh and an energy intensity of 344 kJ/kWh, which makes it a competitive technology compared to other wave energy converters. Alternative materials, such as aluminium and carbon fibre, yield mass reductions but incur higher embodied emissions. Site deployment strongly influences performance, with global warming potential reduced by up to 50% in high-power-density sites, while extending the operational lifetime from 25 to 30 years further reduces the impact by 17%. Overall, the results highlight the competitive environmental performance of floating wave cycloidal rotors and emphasize the importance of material selection, site selection, and lifetime extension strategies in reducing life cycle impacts. Full article

Background and Objectives: Physician burnout, commonly described as emotional exhaustion (EE), depersonalization (DP), and reduced personal accomplishment (PA), remains common. We assessed whether structured, individual-focused programs improve Maslach Burnout Inventory (MBI) subscale scores among physicians. Materials and Methods: Registration, Open Science Framework, doi: 10.17605/OSF.IO/UAZ6B (unfunded). PubMed (MEDLINE) was searched from 1 January 2009 to 9 December 2023 (last searched 9 December 2023) to conduct a meta-analysis. Eligible English language studies evaluated a physician-focused intervention intended to reduce burnout and reported MBI outcomes; eligible designs were randomized trials, crossover trials, prospective cohort studies, or single-group pre–post studies. Risk of bias was rated using the original Cochrane Risk of Bias by two reviewers with consensus resolution. For quantitative synthesis, we pooled mean differences (MD) using fixed-effect inverse-variance meta-analysis with 95% confidence intervals (CI); heterogeneity was summarized with I², and funnel plots were inspected qualitatively. Results: Of 2769 records, 17 studies met criteria for qualitative analysis, and 6 studies (n = 585 physicians; 273 intervention, 312 control) were pooled. Interventions included mindfulness curricula, professional coaching, or structured peer discussion groups. Compared with controls, interventions were associated with lower EE (MD −5.56; 95% CI, −6.68 to −4.44; I² = 42%), lower DP (MD −2.11; 95% CI, −2.64 to −1.58), and higher PA (MD 2.01; 95% CI, 1.41 to 2.60). Funnel plots suggested asymmetry for EE. Evidence was limited by few trials, frequent high or unclear risk of bias in at least one domain, and variable intervention formats, and one pooled study used a single-group pre–post design. Conclusions: Structured individual-focused programs were associated with small but statistically significant changes in MBI subscale scores in physicians, but confidence in magnitude and generalizability are limited by study quality and a small evidence base. These programs may be useful adjuncts to organizational approaches to burnout. Full article

Understanding the carbon footprint of biomass products is of considerable practical relevance for energy conservation and emission reduction. Conducting carbon footprint assessment of bamboo scrimber products via Life Cycle Assessment (LCA) facilitates the quantitative characterization of their environmental performance and further enhances the improvement in cleaner production. This study established a model of life cycle and inventory data set for bamboo scrimber flooring from ‘cradle to gate’ that accurately quantifies carbon emissions during raw material transportation and product production stages. Two types of bamboo scrimber flooring processes were investigated: deep carbonization and shallow carbonization. Additionally, this study compared the carbon footprints of products processed using bamboo scrimber flooring and bamboo plywood production methods. Results showed that the carbon emissions during the processing of 1 m³ of deep carbon and shallow carbon bamboo scrimber flooring were 1845.99 kg CO2-eq and 1570.85 kg CO2-eq, respectively. When coupling the carbon storage of raw material supply and product usage stages, the life cycle carbon footprints for 1 m³ of deep carbon and shallow carbon bamboo scrimber flooring were 962.23 kg CO2-eq and 677.86 kg CO2-eq, respectively. The carbon emissions and life cycle carbon footprint for the processing of bamboo plywoods were 1435.55 kg CO2-eq and 640.23 kg CO2-eq, respectively. Through the analysis of different processes and their effects, adhesives were identified as the primary factor influencing the carbon footprint. Full article