Search Results (192)

This work presents the design and characterization of a portable UV-B phototherapy system based on 308 nm LEDs, intended as a compact and mercury-free alternative for vitiligo treatment. Optical measurements showed a narrow emission centered at 308 nm, with stable spectral behavior and an optical power of approximately 1 mW at the treatment surface, comparable to conventional mercury and excimer lamps but without their associated environmental and thermal issues. A matrix of nine AlGaN UV-B LEDs was used to improve illumination uniformity and compensate for the lower output of individual devices. The electronic system includes an operational amplifier, a MOSFET driver, and a GaN photodiode-based transimpedance amplifier (TIA), allowing real-time UV-B monitoring and closed-loop intensity control. An FPGA-based interface enables precise adjustment of exposure time, duty cycle, and LED selection for localized treatment. Moreover, the system is inherently scalable, as the irradiation area and output power can be increased by adding more LEDs without major changes to the control system. The biological evaluation indicated that UV-B exposure did not affect fibroblast viability under recommended conditions, while signs of DNA damage appeared only at higher intensities and longer exposure times. These results suggest that the system can be used safely within controlled limits. Future work will focus on dose–response studies in clinically relevant models to assess therapeutic effectiveness. Full article

Nanoplatforms combining multiple imaging contrast modalities are gaining interest across life sciences and beyond. Here, we disclose a proof-of-concept series of harmonic nanoparticles (HNPs) conjugated with a variety of lanthanide (Ln) complexes, enabling tunable imaging properties. Building on our previous approach for the conjugation of Gd(III) complexes at the surface of HNPs through copper-catalyzed click chemistry, we first establish a copper-free alternative by benchmarking the signals of the resulting conjugates in magnetic resonance imaging phantoms. We then extend this system to Eu, Tb and Yb conjugates and investigate their photophysical properties, successfully detecting long-lived Ln emissions spanning the visible and near-infrared spectrum. Interestingly, the Ln ion can be efficiently removed and exchanged, allowing reuse of the same HNP with a new optical signature. Most notably, we demonstrate that the Eu luminescence can be indirectly activated via second-harmonic generation from the HNP core upon femtosecond-pulsed irradiation in parallel to direct two-photon excitation. This nonlinear activation scheme paves the way for the preparation of mixtures with multidimensional optical signatures using a single excitation source. Altogether this work provides a versatile framework to further explore HNP-Ln conjugates as multimodal imaging probes. Full article

Ensuring the safety of sustainably managed medicinal plants is closely linked to the quality of plant raw materials, including the presence of heavy metals within safe limits. Sustainable management in the context of herbal raw materials therefore entails responsible management of herbal plant resources, integrating environmental protection with ensuring long-term economic profitability. The aim of this study was to analyze selected biochemical parameters and to determine metal concentrations in soils and leaves of Plantago lanceolata L. collected from natural habitats at increasing distances from traffic routes. The content of Zn, Cu, Ni, and Pb was determined in the soils and leaves of Plantago lanceolata L. Assessing the content of these elements in plant raw materials allows for: the prevention of harmful substances in final products, adaptation of raw materials to applicable safety standards (avoiding toxicity), and protection of consumer health. This promotes sustainable development by building a safe supply chain. The leaves of Plantago lanceolata L. were also tested for biochemical enzymatic (catalase (CAT) and superoxide dismutase (SOD)) and non-enzymatic (chlorophyll a and b (Chl a and b), carotenoids (Car), ascorbic acid (AAC)), and mechanisms regulating the activity of reactive oxygen species (ROS) were determined in the leaves of Plantago lanceolata L. Based on the results of leaf pH, relative water content (RWC), ascorbic acid content, and total chlorophyll content, the air pollution tolerance index (APTI) was calculated. The distance from the road has a significant impact on the concentration of the heavy metals analyzed. The soils were found to be free of Zn, Cu, Pb, and Ni contamination. However, analysis of Plantago lanceolata L. leaves revealed exceedances of acceptable lead limits for herbal plants. The content of pigments, the ratio of Chl a/b, and Chl (a + b)/Car in the leaves of Plantago lanceolata L. was significantly dependent on the distance from the road. The activity of CAT and SOD in the leaves of Plantago lanceolata L. growing closest to the road was significantly higher compared to the others. APTI values suggest that Plantago lanceolata L. exhibits sensitivity to pollution, independent of its distance from the emission source. Full article

Accurate classification of seal wear is essential for condition-based and predictive maintenance of hydraulic cylinders, where seal degradation can cause fluid leakage and impair normal system operation. This study investigates the adaptation of a Transformer-based audio model for classifying seal wear conditions using acoustic emission (AE) signals. Specifically, we adapt the Audio Spectrogram Transformer (AST), a convolution-free, purely attention-based model that operates directly on audio spectrograms. The Transformer architecture enables the modeling of long-range dependencies, while the model learns discriminative representations directly from AE data without relying on manually engineered features. A selective fine-tuning strategy was implemented by adding layer-freezing functionality to the AST training pipeline, enabling different freezing configurations during fine-tuning. This allowed earlier pretrained representations to be preserved while adapting the later layers to the target AE signals, thereby reducing the risk of overfitting in the small-data setting. In addition, validation-driven early stopping was implemented to further improve generalization during fine-tuning. The model was initialized with ImageNet and AudioSet pretrained weights to exploit general-purpose representations learned from large-scale datasets. The AE data were acquired under varying pressure conditions on a hydraulic test rig designed to simulate hydraulic cylinder leakage. The datasets were partitioned into fine-tuning, validation, and evaluation subsets and labeled into three wear states: unworn, semi-worn, and worn. In addition, data augmentation techniques were applied to the fine-tuning data to increase diversity and mitigate class imbalance. The adapted model achieved 97.92% classification accuracy across all wear conditions and pressure settings, demonstrating its ability to learn discriminative wear-related patterns directly from AE data. Furthermore, the framework’s versatility was further assessed on a bearing strip dataset acquired from the same hydraulic test rig. Using the same fine-tuning configuration, the model achieved 95.65% accuracy and 100% recall for the worn state. These findings highlight the potential of transformer-based architectures for data-efficient, end-to-end AE-based diagnostics across hydraulic system components. Full article

Biofouling is an issue of global significance that impairs marine infrastructure, causes increased fuel consumption and greenhouse gas emissions, and threatens biodiversity. Since the year 2000, self-polishing copolymer (SPC) coatings and fouling release coatings (FRCs) dominate the fouling protection coatings market. SPC technology is based on the controlled release of biocides using a mixture of acrylic and natural binders as a delivery system. FRC technology is based on PDMS providing surface properties that resist attachment of fouling organisms. FRCs often contain surface modifying agents, such as free silicone oils, to tune the physicochemical properties of the surface. However, the long-term efficacy of these agents and their migration and distribution in PDMS-based coatings have not been well studied. In this study, we employed time-of-flight secondary ion mass spectrometry (ToF-SIMS) combined with multivariate analysis to examine the distribution of silicone oils as a function of exposure to artificial seawater (ASW). The results show that pure PDMS-based coatings allow uniform distribution of silicone oils with robust behavior upon ASW exposure. In contrast, epoxy–PDMS-based coatings displayed phase separation of the oils, which strongly altered their surface chemistry. Our findings suggest that the modification of mobile oils is critical to the performance of marine antifouling coatings. Furthermore, the presence of other ingredients of commercial coating formulations strongly affected the distribution of mobile oils. This study lays the foundation for future systematic research aimed at developing predictive models to optimize fouling protection coatings for the marine industry. Full article

To investigate how the content of silica fume (SF) influences the performance of foam concrete (FC) after high-temperature exposure and the underlying mechanisms, this study prepared standard FC cube specimens with SF contents of 0%, 0.15%, 0.2%, 0.25%, and 0.3%. The working properties of the material at room temperature were systematically tested, and the mass loss, residual compressive strength, failure mode, microstructure and acoustic emission (AE) data at different temperatures (100 °C, 200 °C, 300 °C and 400 °C) were analyzed. The test results indicate that increasing the SF content reduces the fluidity of the fresh paste yet significantly enhances the compressive strength and lowers the water absorption of FC at room temperature. After high-temperature exposure, the effect of SF exhibits a dual character: at 200 °C and below, SF effectively mitigates the performance degradation of FC. However, when the temperature reaches 300–400 °C, specimens with an excessively high SF content (e.g., 0.3%) experience rapidly built-up internal steam pressure that cannot escape in time, which triggers the formation and propagation of a microcrack network and leads to a sharp drop in strength. Based on AE detection and scanning electron microscopy (SEM) image analysis, the failure process of silica fume foam concrete (SFFC) proceeds through three stages: free water evaporation at low temperatures, dehydration shrinkage of the C-S-H gel at medium temperatures, and finally, structural failure marked by the collapse of the C-S-H gel network at high temperatures. This study indicates that an SF content of 0.25% allows FC to achieve an optimal balance between mechanical properties and high-temperature stability. The findings provide a theoretical basis for optimizing FC mix proportions and enhancing fire prevention design. Full article

In the context of China’s transition from “dual control of energy consumption” to “dual control of carbon emissions,” understanding the synergistic mechanisms among carbon emission trading (CET), energy use rights trading (EURT), and electricity markets is critical for achieving the nation’s dual carbon goals. This study develops a system dynamics (SD) model to examine the coupled interactions within this “carbon–electricity–energy” ternary market system, focusing on thermal power enterprises as the primary analytical subject. The model reveals that the ternary market framework drives energy conservation and emission reduction through three key mechanisms: price signal transmission, dual regulatory constraints, and mutual quota recognition. These mechanisms propagate low-carbon incentives throughout the industrial chain by transmitting cost signals to end-users via electricity prices. Compared to binary market structures, the ternary framework achieves superior outcomes, it facilitates higher renewable energy consumption, maintains more stable price levels, enhances market liquidity for both carbon and energy rights, and improves resource allocation efficiency alongside environmental–economic performance. However, the simulation also exposes critical inefficiencies under the current “dual control of energy consumption” regime. The parallel operation of EURT and CET markets creates functional overlap and duplicated compliance burdens. This redundancy increases enterprise costs without commensurate environmental gains, validating the necessity of transitioning to carbon-focused dual control. Further analysis demonstrates that a mutual recognition mechanism between carbon and energy rights effectively alleviates dual compliance pressures and improves enterprise profitability. Optimal market performance emerges when the recognition ratio is appropriately calibrated. Additionally, gradually increasing the share of auctioned quotas while maintaining appropriate levels of free allowances can drive emission reductions without compromising enterprise profitability. This research provides both theoretical foundations and practical policy recommendations for building an efficient multi-market coordination mechanism, facilitating the policy transition, and advancing low-carbon transformation in China’s power sector. Full article

The buildings and construction sector is a major contributor to global environmental impact, accounting for 34% of global energy demand and 37% of energy- and process-related CO₂ emissions in 2022. This context motivates the development of alternative construction materials with lower embodied energy and reduced environmental impact. In this study, vibrocompressed calcium sulfate prefabricated elements were developed and experimentally evaluated as an alternative to conventional concrete-based units. Unlike traditional gypsum molding processes, the proposed vibrocompression route enables the production of semi-dry mixtures with reduced water content, allowing rapid demolding and palletization within 10–20 min. The study was designed as a process-validation campaign under real industrial production conditions (LOREV 1010/A), combined with an initial technical characterization of the manufactured units. The experimental program focused on manufacturing feasibility and on the initial physical and mechanical characterization of the prefabricated elements, including aggregate granulometric control, dry density, normalized compressive strength, and microstructural observations. Under the selected process conditions, the units reached normalized compressive strength values of up to 2.90 N/mm² and dry density values of approximately 1228 kg/m³, indicating technical suitability for non-load-bearing applications. From a process-route perspective, the cement-free formulation and the use of gypsum-based aggregates support the technical plausibility of a more circular construction system. The environmental and economic implications of the proposed system are discussed from a preliminary process perspective and should be quantified in future life cycle and techno-economic assessments. Full article

Dual-emission photoluminescence (PL) nanoprobes provide improved analytical performance to develop a reliable and sensitive sensing platform for quantifying chloramphenicol in pharmaceutical samples, thereby ensuring therapeutic efficacy and patient safety. In this work, a dual-emission PL sensing platform combining carbon dots (CDs) and AgInS₂ quantum dots (QDs) capped with mercaptopropionic acid (MPA) was developed for the quantitative determination of chloramphenicol, resorting to chemometric methods for data analysis. CDs, CdTe QDs, and AgInS₂ QDs were synthesized and individually evaluated considering their photostability, PL response and kinetics of their interaction with the antibiotic. After this, two dual-emission probes, CDs/MPA-CdTe and CDs/MPA-AgInS₂, were prepared and assessed based on the complementarity of their individual emission features. The obtained kinetic PL dataset was processed using unfolded partial least squares (U-PLS) in order to explore the multidimensional information of the dual-emission systems and to evaluate the performance of both sensing platforms. CDs/MPA-AgInS₂ probe was demonstrated to be the most efficient sensing platform due to its better compromise between sensitivity and photostability, as well as its cadmium-free composition, allowing the implementation of a more environmentally friendly analytical methodology. The optimization of the U-PLS models involved the assessment of the kinetic acquisition time and different spectral regions. The results showed that reliable, sensitive and efficient quantification could be achieved within the first 5 min of interaction and using the full emission spectrum of the sensing probe. Additionally, different interaction mechanisms were observed for each nanomaterial in the combined probe, being static for the CDs/chloramphenicol interaction and dynamic for MPA-AgInS₂/chloramphenicol interaction, which supports the synergetic behavior of the combined probe. The proposed methodology was effectively applied to commercial pharmaceutical formulations, yielding accurate results with good figures of merit. Therefore, this approach can be used as a relevant alternative to existing methodologies for a rapid, robust, and environmentally friendly method for chloramphenicol quantification. Full article

Nowadays, the building sector is responsible for 30% of the global final energy demand and 37% of global energy and process emissions. In this context, industrial buildings account for 33% of global final energy consumption, representing one of the most energy-intensive sectors. The challenging European goal of achieving a carbon-free economy by 2050 is not reachable without intervening on the existing building stock. This research study aims to propose several retrofitting measures implemented in existing Italian industrial facilities to ameliorate energy and environmental performance, as well as to guarantee better indoor thermal conditions for workers. These interventions deal with both external envelope interventions and conditioning system improvements, along with their possible combination, to identify the most cost-effective solutions. A life cycle cost (LCC) analysis is performed to assess and compare the different redevelopment measures to identify the advisable ones considering the initial investment expenditure and operational and maintenance costs during a life span of 20 years. To define the cost-effective solution, different synthetic indexes are considered in the analysis. A sensitivity analysis is conducted on the discount rate and the operational life of the building (20 years). Redevelopment measures concerning conditioning systems seem to be the most advantageous ones in terms of operational energy savings and payback period evaluation if renewables are installed. The latter possibly makes industrial buildings carbon-neutral. The interventions on the external envelope allow buildings to meet the current Italian regulations in terms of thermodynamic properties, even if they affect the operational cost to a lesser extent. Full article

The prevalence of diet-related noncommunicable diseases (NCDs; e.g., obesity, type 2 diabetes, cardiovascular disease, and certain cancers) is increasing globally, while food systems are also driving climate change and biodiversity loss. Transitioning to predominantly plant-based (“plant-forward”) dietary patterns can improve health and lower environmental impacts. We present the Slovenian Nutrition Guidelines 2025 (SNG2025)—their methodology, development, and core recommendations. Developed as adult food-based dietary guidelines, the SNG2025 are evidence-informed, drawing on the scientific literature, national nutritional data, and expert consensus. We set quantitative daily intake targets by integrating evidence on primary NCD outcomes with environmental metrics (greenhouse gas emissions, land use, and water use), which led to upper limits for animal-based foods. The recommended plant-forward dietary pattern, aligned with the EAT–Lancet planetary health diet, emphasises vegetables, fruits, legumes, whole grains, nuts, seeds, and unsaturated oils; allows low-to-moderate amounts of seafood, poultry, dairy, and eggs; and keeps red and processed meat, free sugars, refined grains, saturated fat, salt, ultra-processed foods (UPFs), and alcohol to a minimum. For the first time, we operationalise health, environmental sustainability, and equity (cultural diversity and accessibility) through a three-tier, plant-forward food plate model (Mediterranean, vegetarian [lacto-ovo], and whole food, plant-based [vegan]). The SNG2025 aim to reduce the risk of NCDs, lower the dietary environmental footprint, and improve fair access to healthy food. They signal a shift from disease management to a prevention-oriented, systems approach that aligns health and ecological goals. With robust implementation, supportive policies, and multisector collaboration, the SNG2025 can strengthen population health, foster more resilient food systems, and advance equity and long-term sustainability. Full article

The giant atom paradigm, where a single quantum emitter couples to a continuum at multiple discrete points, has enabled unprecedented control over light-matter interactions, including decoherence-free subspaces and chiral emission. However, realizing these non-local effects beyond the microwave regime remains a significant challenge due to the diffraction limit. Here, we theoretically propose a photonic analog of giant atoms operating at optical frequencies, utilizing a quantum emitter resonantly coupled to a pair of spatially separated single-mode cavities interacting with a common 1D photonic continuum. By rigorously deriving the effective non-Hermitian Hamiltonian and integrating out the bath degrees of freedom, we demonstrate that the interference between cavity-mediated emission pathways leads to the formation of robust Bound States in the Continuum (BICs). These interference-induced dark states allow for the infinite trapping of excitation within the emitter-cavity subsystem, effectively shielding it from radiative decay. Our results extend the giant atom toolbox to the optical domain, offering a scalable architecture for integrated quantum photonics and quantum interconnects. Full article

A recent report on the future of agriculture by the European Commission emphasizes the need for sustainable development on a farm level to be characterized by measuring ecosystem services with indicators and corresponding thresholds. This case study raises the question whether or not operational methods are currently available to allow such measurements under practical field conditions. To broaden the scope of this case study to the international policy arena, the measurement of ecosystem services was linked to selected UN Sustainable Development Goals (SDGs). The case study showed that operational methods are currently available to measure and judge ecosystem services related to the following: the production of healthy food, water quality, greenhouse gas emissions, biodiversity, and soil health. This conclusion was, however, only possible when applying innovative sensing and laboratory techniques to measure pesticide and heavy metal contents and soil microbiology. Soil health is not only important as an ecosystem service, as such, but also plays a major role in realizing the other ecosystem services. Once all ecosystem services are satisfied on a particular farm, a farmer is free to follow his own unique management practices free from top-down governmental rules and regulations that focus now on required management measures. Each farmer can pursue the goals in a way that best aligns with his own vision, context, and creativity. Full article

In recent years, Ammonia has emerged as a promising carbon-free fuel alternative, offering considerable potential to reduce CO₂ emissions and contribute to the decarbonization of the transportation industry. This study focuses on the economic feasibility and market price of ammonia now and in the future, highlighting the necessary infrastructure for emission-free transport operation. The project compares various production pathways for alternative fuels including hydrogen, ammonia, methanol, LNG, and diesel, considering both “green” and “gray” production methods. A key output of this research is the development of a flexible cost calculation tool, which allows users to simulate various scenarios by adjusting variables to ensure the continuity of the project. This tool enables dynamic analysis of future fuel prices and operational costs, accounting for the fluctuating electricity prices for green ammonia production and the long-term rise in CO₂ prices. Moreover, the study provides detailed cost modeling, infrastructure requirements, and refueling options for ammonia in comparison to other fuels. The findings indicate that ammonia is a promising long-term option for the maritime sector. While the adaptation to ammonia-based engines remains in the research phase, the long-term benefits of lower emissions and operating costs justify the investment in the necessary research and infrastructure, such as storage and refueling facilities. Full article

Methoxy radicals (CH₃O•), formed as intermediates during methane oxidation, may play an underexplored but locally significant role in the atmospheric oxidation of dimethyl sulfide (DMS), a key sulfur-containing compound emitted primarily by marine phytoplankton. This study presents a comprehensive computational investigation of the reaction mechanisms and kinetics of DMS oxidation initiated by CH₃O•, using density functional theory B3LYP-D3(BJ)/6-311++G(3df,3pd), CCSD(T)/6-311++G(3df,3pd), and UCBS-QB3 methods. Our calculations show that DMS reacts with CH₃O• via hydrogen atom abstraction to form the methyl-thiomethylene radical (CH₃SCH₂•), with a rate constant of 3.05 × 10⁻¹⁶ cm³/molecule/s and a Gibbs free energy barrier of 14.2 kcal/mol, which is higher than the corresponding barrier for reaction with hydroxyl radicals (9.1 kcal/mol). Although less favorable kinetically, the presence of CH₃O• in localized, methane-rich environments may still allow it to contribute meaningfully to DMS oxidation under specific atmospheric conditions. While the short atmospheric lifetime of CH₃O• limits its global impact on large-scale atmospheric sulfur cycling, in marine layers where methane and DMS emissions overlap, CH₃O• may play a meaningful role in forming sulfur dioxide and downstream sulfate aerosols. These secondary organic aerosols lead to cloud condensation nuclei (CCN) formation, subsequent changes in cloud properties, and can thereby influence local radiative forcing. The study’s findings underscore the importance of incorporating CH₃O• driven oxidation pathways into atmospheric models to enhance our understanding of regional sulfur cycling and its impacts on local air quality, cloud properties and radiative forcing. These findings provide mechanistic insights that improve data interpretation for atmospheric models and extend predictions of localized variations in sulfur oxidation, aerosol formation, and radiative forcing in methane-rich environments. Full article