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Keywords = CEM I

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27 pages, 6245 KB  
Article
Performance of High-Workability Mortars Incorporating Metakaolin as a Partial Cement Replacement
by Natividad Garcia-Troncoso, Mohamad Alnasser, Chenmeng Zhang and Dan V. Bompa
Materials 2026, 19(8), 1558; https://doi.org/10.3390/ma19081558 - 14 Apr 2026
Abstract
This study investigates the effect of metakaolin (MK) as a partial replacement of cement (CEM I) in high-workability mortars, with emphasis on fresh-state behaviour, mechanical properties, microstructural development, and carbon footprint implications. Mortars were produced with MK replacement levels ranging from 0 to [...] Read more.
This study investigates the effect of metakaolin (MK) as a partial replacement of cement (CEM I) in high-workability mortars, with emphasis on fresh-state behaviour, mechanical properties, microstructural development, and carbon footprint implications. Mortars were produced with MK replacement levels ranging from 0 to 50% by mass of binder, under a constant water-to-binder ratio and fixed superplasticiser amount. Fresh-state results showed that increasing MK content reduced flowability due to its high fineness; however, high workability was maintained for replacement levels up to 20%. At 28 days, MK replacement up to 10% retains approximately 90–95% of the control compressive and flexural strength, whereas higher replacement levels lead to gradual strength reductions (to ~55–60% at 50% MK), despite comparable early-age strength gains across all mixes. Durability-related indicators demonstrated reduced water absorption and capillary uptake at moderate MK contents (approximately 20–30%), indicating refined pore structure and reduced pore connectivity. Microstructural analyses using SEM, TGA, and XRD confirmed effective portlandite consumption and the formation of dense C–A–S–H-type hydration products at moderate MK replacement levels, whereas excessive MK contents resulted in unreacted MK. A comparative carbon footprint assessment showed that MK incorporation leads to proportional reductions in embodied CO2 emissions, with replacement levels of 10–20% providing the most favourable balance between mechanical performance, durability, and environmental benefit. Therefore, the results demonstrate that MK can be used as a supplementary cementitious material for producing low-carbon, high-workability mortars. Full article
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18 pages, 7475 KB  
Article
Comparative Analysis of Industrial Waste as Supplementary Cementitious Materials—A Preliminary Study
by Pauls P. Argalis, Kristers Gelzis, Ralfs K. Valdovskis and Laura Vitola
Recycling 2026, 11(4), 75; https://doi.org/10.3390/recycling11040075 - 8 Apr 2026
Viewed by 192
Abstract
This preliminary study investigates the viability of substituting high-performance Aalborg white Portland cement (CEM I 52.5 R) with five diverse industrial byproducts: wood ash, silica waste, clay brick, glass fibre, and calcined sewage sludge ash. Sewage sludge ash was produced in a laboratory [...] Read more.
This preliminary study investigates the viability of substituting high-performance Aalborg white Portland cement (CEM I 52.5 R) with five diverse industrial byproducts: wood ash, silica waste, clay brick, glass fibre, and calcined sewage sludge ash. Sewage sludge ash was produced in a laboratory from two different sludges from wastewater treatment plants in the Latvian cities of Jelgava and Liepaja. The research evaluates the influence of substitution levels ranging from 5% to 20% on the rheology of fresh material and its early-age mechanical performance (day 7). Results indicate that particle morphology largely dictates workability; porous and angular materials, such as wood ash, clay brick, and sewage sludge ash, reduce flowability, whereas non-absorbent milled glass fibres unexpectedly improve spread diameter. Regarding mechanical performance, glass fibre and clay brick waste demonstrated the highest potential, exceeding the 48–62 MPa reference compressive strengths by achieving up to 69 MPa at a 10% substitution level. Conversely, wood ash and silica waste exhibited significant strength degradation at higher substitution levels, due to agglomeration and high water demand. This approach not only identifies viable waste streams for cement substitution but also diverts significant industrial waste from landfills, thereby reducing CO2e emissions and advancing more sustainable construction practices. Full article
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19 pages, 2572 KB  
Article
Evaluating and Optimizing Air Quality Forecasting for Critical Particulate Matter Episodes in the Santiago Metropolitan Region, Chile
by Luis Alonso Díaz-Robles, Marcelo Oyaneder, Julio López, Ariel Meza, Serguei Alejandro-Martin, Rasa Zalakeviciute, Diana Yánez, Andrea Espinoza-Pérez, Lorena Espinoza-Pérez, Ernesto Pino-Cortés and Fidel Vallejo
Sustainability 2026, 18(8), 3652; https://doi.org/10.3390/su18083652 - 8 Apr 2026
Viewed by 284
Abstract
Severe wintertime particulate pollution (PM10 and PM2.5) affects the Santiago Metropolitan Region in Chile and is intensified by basin topography and frequent thermal inversions. Local authorities rely on the Critical Episodes Management (CEM) forecasting system, yet its predictive performance is [...] Read more.
Severe wintertime particulate pollution (PM10 and PM2.5) affects the Santiago Metropolitan Region in Chile and is intensified by basin topography and frequent thermal inversions. Local authorities rely on the Critical Episodes Management (CEM) forecasting system, yet its predictive performance is variable. This study assesses CEM to identify operational vulnerabilities and propose data-driven improvements for urban air-quality governance. About ~1.2 million hourly meteorological and air-quality records (2017–2022) were analyzed using Generalized Additive Models (GAMs) to characterize key nonlinear relationships, and we evaluated the operational skill of the Cassmassi-1 PM10 model and the WRF-Chem-based PM2.5 forecasting component used by the system. Cassmassi-1 missed more than 50% of critical episodes and showed a false-alarm rate above 60%, consistent with limitations associated with static or incomplete emission representations. By contrast, the WRF-Chem-based component achieved episode prediction accuracy above 70%. GAM results indicate that wind speeds below 2 m s−1, high diurnal temperature range, and relative humidity below 65% are strongly associated with extreme events. Considering the results, we recommend transitioning to nonlinear forecasting approaches that explicitly incorporate these meteorological thresholds and vertical stability indicators to improve alert reliability, strengthen urban resilience, and reduce population exposure. Full article
(This article belongs to the Special Issue Sustainable Air Quality Management and Monitoring)
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19 pages, 2430 KB  
Article
A Statistical Framework for Screening of Emission Data Quality Using CEMS and Material-Based Monitoring in Coal-Fired Power Plants
by Huichao Jia, Hao Pan, Jueying Qian, Haibo Zhang and Xiaohu Luo
Atmosphere 2026, 17(4), 372; https://doi.org/10.3390/atmos17040372 - 4 Apr 2026
Viewed by 265
Abstract
Reliable emission monitoring is essential for effective environmental regulation and the operation of carbon markets. However, high-frequency CO2 data from Continuous Emission Monitoring Systems (CEMS) and material-based monitoring often contain inconsistencies arising from operational variability, sensor drift, and data-processing errors. This study [...] Read more.
Reliable emission monitoring is essential for effective environmental regulation and the operation of carbon markets. However, high-frequency CO2 data from Continuous Emission Monitoring Systems (CEMS) and material-based monitoring often contain inconsistencies arising from operational variability, sensor drift, and data-processing errors. This study develops a transparent statistical framework to screen the quality of CO2 emission data by integrating CEMS measurements with material-based estimates in a coal-fired power plant. A correlation ratio between the two monitoring approaches is used as a process-level indicator, and four statistical tests, Mann–Whitney U, Bootstrap, Levene, and Dip tests, are applied to detect distributional deviations associated with anomalous behavior. Using one year of high-resolution data, we evaluate the influence of reference dataset size, anomaly magnitude, and anomaly duration on detection performance. The results show that approximately 700 reference samples are sufficient to establish a stable baseline. Anomalies corresponding to daily emission deviations of about 4% or higher, when sustained over several days, can be reliably identified as anomalous at the monthly scale. A composite risk score is further developed to support monthly data screening and risk-based verification. The proposed framework provides a practical tool to improve the reliability of emission data and supports more transparent and efficient environmental monitoring and regulatory oversight. Full article
(This article belongs to the Section Air Quality)
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14 pages, 615 KB  
Article
Effectiveness of Contrast-Enhanced Spectral Mammography Following Contrast-Enhanced Computed Tomography in Breast Cancer Diagnosis
by Iksan Tasdelen, Ahmet Gunkan and Fatma Nur Soylu
Diagnostics 2026, 16(7), 1062; https://doi.org/10.3390/diagnostics16071062 - 1 Apr 2026
Viewed by 280
Abstract
Background: Contrast-enhanced spectral mammography (CEM) provides functional information on tumor vascularity and is increasingly used for breast imaging, particularly as an alternative to breast MRI in selected clinical scenarios. During breast cancer staging, many patients undergo contrast-enhanced computed tomography (CT) and may subsequently [...] Read more.
Background: Contrast-enhanced spectral mammography (CEM) provides functional information on tumor vascularity and is increasingly used for breast imaging, particularly as an alternative to breast MRI in selected clinical scenarios. During breast cancer staging, many patients undergo contrast-enhanced computed tomography (CT) and may subsequently receive a second dose of iodinated contrast for CEM, thus increasing contrast exposure, cost, and potential risk. This study aimed to evaluate the diagnostic effectiveness of CEM performed immediately after contrast-enhanced CT using the same contrast bolus (CT/CEM), in comparison with standard CEM requiring a separate contrast injection. Methods: The retrospective single-center study included 63 women with histopathologically confirmed breast cancer who underwent imaging between January of 2020 and December of 2024. Patients were divided into two groups: CT followed by CEM (CT/CEM, n = 29) and standard CEM alone (n = 34). Results: The CEM findings—including lesion visibility, enhancement characteristics, lesion conspicuity, background parenchymal enhancement (BPE), additional lesion detection, and tumor size—were assessed by two radiologists in consensus. The primary lesion was identified in all patients in both groups. No significant differences were found between groups in terms of lesion enhancement, conspicuity, BPE, or additional lesion detection (p > 0.05). Lesion conspicuity was higher in patients with low BPE, particularly in the CT/CEM group. Conclusions: CEM performed immediately after CT demonstrated diagnostic performance comparable to standard CEM, while eliminating the need for additional contrast administration. Full article
(This article belongs to the Section Medical Imaging and Theranostics)
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30 pages, 3823 KB  
Article
Valorization of Mineral Wool Waste as a Pozzolanic Supplementary Cementitious Material—Comparative Reactivity in Portland and Calcium Sulfoaluminate Systems
by Beata Łaźniewska-Piekarczyk and Dominik Smyczek
Sustainability 2026, 18(7), 3366; https://doi.org/10.3390/su18073366 - 31 Mar 2026
Viewed by 188
Abstract
This study provides new experimental evidence indicating that powdered mineral wool waste traditionally classified as a non-reactive, non-recyclable insulation residue can function as a genuinely pozzolanic supplementary cementitious material when incorporated into Portland cement systems. Unlike previous work that has treated mineral wool [...] Read more.
This study provides new experimental evidence indicating that powdered mineral wool waste traditionally classified as a non-reactive, non-recyclable insulation residue can function as a genuinely pozzolanic supplementary cementitious material when incorporated into Portland cement systems. Unlike previous work that has treated mineral wool exclusively as an inert filler, this research demonstrates that its amorphous silicate–aluminate phase becomes chemically active under high-alkalinity conditions. A combined experimental programme, including mechanical testing, assessment and SEM/EDS microstructural analysis, was used to evaluate replacement levels of 20%, 25%, and 40% in CEM I mortars, with CSA cement employed as a contrasting binder system. The results indicate a potential contribution of powdered mineral wool to strength development; however, this effect cannot be unequivocally attributed to pozzolanic activity alone. It may also be partially related to physical effects such as filler action and particle packing. SEM/EDS observations confirm the formation of secondary C–S–H and C–A–S–H gels, can function as a genuinely pozzolanic supplementary cementitious material. Therefore, the applied assessment approach should be treated as indicative, and further verification using complementary methods is required. This study provides new experimental evidence indicating mineral wool can potentially contribute to cementitious performance as a Supplementary Cementitious Material (SCM). However, these observations should be treated as qualitative and indicative rather than definitive proof of pozzolanic reaction. The study provides an environmentally relevant valorisation pathway for a problematic waste stream, showing that mineral wool residues containing only trace levels of immobilizable formaldehyde can be safely and effectively integrated into low-carbon binder technologies. These findings position powdered mineral wool as a previously overlooked, yet technically viable SCM, offering new opportunities for clinker reduction, waste circularity and sustainable cementitious material design. Full article
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19 pages, 4453 KB  
Article
Sustainable Valorisation of Hazardous MSWI Air Pollution Control Fly Ash in Portland Composite Cement: Performance, Environmental Safety and Circular Economy Perspective
by Beata Łaźniewska-Piekarczyk and Monika Czop
Sustainability 2026, 18(7), 3322; https://doi.org/10.3390/su18073322 - 29 Mar 2026
Viewed by 310
Abstract
The management of hazardous municipal solid waste incineration (MSWI) residues represents a critical challenge for sustainable development due to their increasing generation and environmental risk. At the same time, the cement industry faces urgent pressure to reduce CO2 emissions associated with clinker [...] Read more.
The management of hazardous municipal solid waste incineration (MSWI) residues represents a critical challenge for sustainable development due to their increasing generation and environmental risk. At the same time, the cement industry faces urgent pressure to reduce CO2 emissions associated with clinker production, creating a demand for alternative supplementary cementitious materials. The aim of this study was to evaluate the feasibility of valorising hazardous municipal solid waste incineration (MSWI) air pollution control fly ash (EWC 19 01 07*) as a constituent of Portland composite cement, in line with circular economy principles and the need to reduce CO2 emissions associated with clinker production. The investigated fly ash, originating from flue gas cleaning processes, is characterised by high alkalinity and elevated concentrations of heavy metals, which currently necessitate controlled landfilling. To enable its safe reuse, the ash was subjected to high-temperature thermal treatment following granulation and subsequently incorporated into cement formulations under semi-industrial conditions. Two Portland composite cements were produced with different ash contents, corresponding to CEM II/A-07 and CEM II/B-07, while a Portland cement manufactured from the same clinker was used as a reference material. The chemical and phase composition of the ash before and after thermal treatment was analysed using XRF and XRD, supported by SEM/EDS observations. The results demonstrate that thermal treatment at 1150 °C induces partial phase stabilisation of APC fly ash without full vitrification, allowing its integration into cement systems under semi-industrial conditions. The incorporation of ash significantly alters hydration behaviour through increased water demand governed by particle porosity, CaO-rich phase composition, and early ionic interactions in the pore solution, leading to reduced workability and mechanical performance. While immobilisation efficiencies exceeding 99.5% were achieved for most heavy metals due to precipitation and incorporation into hydration products, barium exhibited persistent leaching controlled by its solubility under highly alkaline conditions and limited incorporation into C–S–H phases. These findings define both the technological feasibility and the key environmental constraints of APC fly ash utilisation in Portland composite cement. From a sustainability perspective, the proposed approach contributes to the reduction in hazardous waste landfilling and supports clinker substitution in cement production. The results demonstrate the potential of integrating waste management and low-carbon material design within a circular economy framework while highlighting current environmental limitations related to barium leaching. Full article
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20 pages, 927 KB  
Article
Creative Motivation and Self-Efficacy Moderate the Differences in Individual Creativity Performance in Interactive Situations
by Ching-Lin Wu
Behav. Sci. 2026, 16(4), 512; https://doi.org/10.3390/bs16040512 - 29 Mar 2026
Viewed by 300
Abstract
The present study examined how creative intrinsic motivation (CIM), creative extrinsic motivation (CEM), and creative self-efficacy (CSE) moderate differences in individual creativity in one-on-one interactive situations. A total of 262 adults completed the Alternative Uses Task and Chinese Radical Remote Associates Test in [...] Read more.
The present study examined how creative intrinsic motivation (CIM), creative extrinsic motivation (CEM), and creative self-efficacy (CSE) moderate differences in individual creativity in one-on-one interactive situations. A total of 262 adults completed the Alternative Uses Task and Chinese Radical Remote Associates Test in single- and paired-player modes on an online interactive creativity task platform, followed by measures of CIM, CEM, and CSE. Participants were classified as relatively higher- versus lower-performing members within each dyad on the basis of their single-player performance. The results showed that CIM and CSE significantly moderated the fluency and originality advantages of higher divergent-thinking performers in the paired-player mode, whereas CEM did not significantly moderate performance. No significant moderating effects were found for CRRAT performance. These findings suggest that individual differences in creative motivation and creative self-efficacy are especially relevant when open-ended creative performance unfolds in interactive settings. They also imply that educators and facilitators seeking to improve collaborative creativity should attend to baseline creative ability, as well as learners’ intrinsic motivation and confidence in their creative capabilities. Full article
(This article belongs to the Section Cognition)
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21 pages, 5701 KB  
Article
Accelerated Ageing of Blast Furnace Cement-Dolomite Mortars: Phase Changes, Microstructural Evolution, and Mechanical Performance
by Elena Sutormina, Marjan Marinšek and Anton Meden
Materials 2026, 19(7), 1283; https://doi.org/10.3390/ma19071283 - 24 Mar 2026
Viewed by 222
Abstract
Blast furnace cement-dolomite mortars prepared from commercial cement (CEM-III/B) containing ~75% of slag and natural dolomite were aged under accelerated conditions at 60 °C in 1 M NaOH for 0–24 months. The hydration products and microstructure features of the mortars were studied using [...] Read more.
Blast furnace cement-dolomite mortars prepared from commercial cement (CEM-III/B) containing ~75% of slag and natural dolomite were aged under accelerated conditions at 60 °C in 1 M NaOH for 0–24 months. The hydration products and microstructure features of the mortars were studied using XRD, TGA and SEM-EDS methods, with blast furnace cement paste for comparison. The results showed that the presence of dolomite enhanced slag hydration, as the carbonates released during dedolomitisation promoted Ca and Si dissolution from the slag grains. After prolonged ageing, a multi-rim structure was observed around the slag particles: the inner rim primarily consisted of a hydrotalcite-like phase mixed with C-S(A)-H gel, while the outer rims were richer in C-S(A)-H gel, with varying calcium content. Monocarbonate phase was additionally detected at the slag–paste interface in the presence of dolomite. The observed increase in mechanical strength during ageing had to do with two reasons: (i) the increase in hydration product content and (ii) the densification of microstructure due to the formation of calcium carbonate, which filled pores and microcracks and the possible carbonation of C-S (A)-H gel in the binding paste. Under the investigated alkaline ageing conditions, dolomite acts as a chemically active component rather than an inert filler, influencing both slag hydration kinetics and the composition of the resulting hydration products. Full article
(This article belongs to the Section Construction and Building Materials)
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27 pages, 1388 KB  
Article
Metrological Validation of Low-Cost DS18B20 Digital Temperature Sensors Using the TH-001 Procedure: Calibration Models, Uncertainty, and Reproducibility
by Juan Antonio Rodríguez-Rama, Leticia Presa Madrigal, Alfredo Marín Lázaro, Javier Maroto Lorenzo, Ana García Laso, Jorge L. Costafreda Mustelier and Domingo A. Martín-Sánchez
Metrology 2026, 6(1), 21; https://doi.org/10.3390/metrology6010021 - 23 Mar 2026
Viewed by 396
Abstract
This study presents the metrological validation of encapsulated DS18B20 digital temperature sensors. Eight units were tested, and seven were analysed (sensor 8 was excluded owing to a systematic failure). The evaluation was performed using a standard comparison calibration, where Tref was defined [...] Read more.
This study presents the metrological validation of encapsulated DS18B20 digital temperature sensors. Eight units were tested, and seven were analysed (sensor 8 was excluded owing to a systematic failure). The evaluation was performed using a standard comparison calibration, where Tref was defined as the mean of two calibrated Pt-100 probes in a Julabo DYNEO DD 601F thermostatic bath, following the TH-001 procedure of the Spanish Centre of Metrology (CEM). Four validation tests were performed: Test 1 (E1, 20 to 75 °C), Test 2 (E2, 20 to 72 °C), and with an extended range, Test 3 (E3, −12 to 86 °C) and Test 4 (E4, −12 to 86 °C; repetition to assess reproducibility relative to E3), with 10 steady-state readings per setpoint. Erroneous readings were defined and removed (probe 3, Test 4), and set points without valid readings from probe 4 above 68 °C were excluded. Without data processing, the errors were consistent with the manufacturer’s stated ±0.5 °C, despite an inter-probe bias. Several correction models were evaluated (offset, affine linear, polynomial, and segmented); the probe-specific affine linear model provided the best overall compromise, reducing MAE (Mean Absolute Error) to 0.046 to 0.130 °C and RMSE (Root Mean Square Error) to 0.057 to 0.169 °C. The process uncertainty is dominated by the traceability of the Pt-100 probes and the effective nonuniformity of the isothermal volume, which limits the achievable accuracy. The results support the use of individually calibrated DS18B20 sensors for continuous monitoring, provided that the effective operating range is maintained. Full article
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36 pages, 11707 KB  
Article
Eco-Friendly Rapid-Setting Concrete Incorporating Waste-Derived Additives for Post-Disaster Reconstruction
by Anna Starczyk-Kołbyk, Waldemar Łasica, Emil Kardaszuk and Michał Gregorczyk
Materials 2026, 19(6), 1218; https://doi.org/10.3390/ma19061218 - 19 Mar 2026
Viewed by 251
Abstract
This study investigates an eco-friendly rapid-setting concrete developed for emergency repair and accelerated post-disaster reconstruction. The proposed material concept combines a low-emission multicomponent cement, CEM V/A (S-V) 42.5 N-LH/HSR/NA, with a hybrid aggregate skeleton composed of crushed granite and waste soda–lime glass, as [...] Read more.
This study investigates an eco-friendly rapid-setting concrete developed for emergency repair and accelerated post-disaster reconstruction. The proposed material concept combines a low-emission multicomponent cement, CEM V/A (S-V) 42.5 N-LH/HSR/NA, with a hybrid aggregate skeleton composed of crushed granite and waste soda–lime glass, as well as a waste-derived silicate additive system based on aqueous sodium silicate, glass dust and glass powder. One reference mixture (R) and five modified mixtures (M1–M5) were designed to assess the effects of partial replacement of natural aggregate by glass aggregate and of the dosage of the silicate-based additive system on concrete performance. The experimental programme included setting time, compressive strength, splitting tensile strength, water absorption, freeze–thaw resistance and microstructural observations. Among the modified concretes, the mixture containing 5 vol.% glass aggregate (M1) showed the most favourable mechanical performance after 28 days, reaching a compressive strength of 95.1 ± 2.4 MPa and a splitting tensile strength of 4.82 ± 0.29 MPa, compared with 45.5 ± 0.8 MPa and 2.18 ± 0.11 MPa, respectively, for the reference concrete. Higher glass contents reduced strength relative to M1, but the modified mixtures still maintained satisfactory performance. The silicate-based system significantly affected setting behaviour; in mixture M5, the initial and final setting times were reduced from 380 ± 5 min and 497 ± 5 min to 213 ± 5 min and 307 ± 5 min, respectively. The results show that the combined use of CEM V cement, waste glass and silicate-based waste-derived additives can produce concretes with rapid-setting, high strength and satisfactory durability-related properties. The developed material may therefore be considered a promising solution for selected rapid-repair and reconstruction applications, particularly in lightly reinforced or unreinforced concrete elements requiring fast restoration of functionality. Full article
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27 pages, 1129 KB  
Article
Sensitivity Analysis of CO2 Emitted in Clinker and Cement Production
by Dimitris Tsamatsoulis
Computation 2026, 14(3), 71; https://doi.org/10.3390/computation14030071 - 18 Mar 2026
Viewed by 256
Abstract
This study performs a sensitivity analysis of CO2 emissions from clinker and cement production using life cycle assessment (LCA). Both local and global sensitivity analyses (LSA and GSA) are conducted. LSA uses outputs from the GCCA EPD tool—developed by the Global Cement [...] Read more.
This study performs a sensitivity analysis of CO2 emissions from clinker and cement production using life cycle assessment (LCA). Both local and global sensitivity analyses (LSA and GSA) are conducted. LSA uses outputs from the GCCA EPD tool—developed by the Global Cement and Concrete Association to facilitate Environmental Product Declarations—and examines correlations between perturbed input variables and the resulting output changes. For GSA, we present an analytical derivation of Sobol’ indices. We derive quantitative relationships between alternative materials and fuels and key technical indices, while preserving clinker and cement quality throughout the sensitivity analysis. Increasing the share of the alternative fuels (AFs) categories and of recycled concrete produces a negative percentage change in CO2 emitted from the clinker (CO2/CL). The largest CO2/CL reductions arise from high-biomass fuels, followed by alternative solid fuels and refuse-derived fuels, shredded tires, and, lastly, recycled concrete. The clinker-to-cement ratio (CL/CEM) dominates the CO2 emitted in cement production (1% change → 0.926–0.956% change), while clinker-level CO2 reductions transmit to cement with only minor variation, confirmed by Sobol’ indices. Aside from reducing CO2/CL by increasing alternative materials and fuels, the two principal approaches to lowering CO2/CEM are: (i) minimizing clinker content in cement where permitted by applicable standards while maintaining the same performance, and (ii) designing new cement types that deliver equivalent performance with lower clinker content. Full article
(This article belongs to the Section Computational Engineering)
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8 pages, 1341 KB  
Article
Reversal Effects of 20(R)- and 20(S)-Ginsenoside-Rg3 on Daunorubicin Uptake in Multidrug-Resistant Leukemia Cells Studied in the Single-Cell Biochip
by Yuchun Chen, Nandini Joshi, Megan Chiem, Iryna Kolesnyk, Paul C. H. Li, Patrick Y. K. Yue and Ricky N. S. Wong
Int. J. Mol. Sci. 2026, 27(6), 2661; https://doi.org/10.3390/ijms27062661 - 14 Mar 2026
Viewed by 331
Abstract
Multidrug resistance (MDR), frequently mediated by overexpression of the P-glycoprotein (P-gp) efflux transporter, remains a major challenge in the treatment of leukemia by limiting intracellular accumulation of chemotherapeutic agents such as daunorubicin (DNR). This study evaluates the applicability of a microfluidic-based single-cell biochip [...] Read more.
Multidrug resistance (MDR), frequently mediated by overexpression of the P-glycoprotein (P-gp) efflux transporter, remains a major challenge in the treatment of leukemia by limiting intracellular accumulation of chemotherapeutic agents such as daunorubicin (DNR). This study evaluates the applicability of a microfluidic-based single-cell biochip to investigate the reversal effects of microgram-level ginsenosides on daunorubicin uptake in multidrug-resistant leukemia cells. Pure ginsenosides are difficult to obtain in bulk and are typically available only in milligram quantities, which restricts their evaluation using conventional MDR assays such as flow cytometry that require large cell populations and substantial amounts of compounds. To address this limitation, a microfluidic single-cell biochip (SCB) requiring microgram quantities of ginsenosides (<100 µg) and fewer than ten cells was employed. Intracellular DNR accumulation was measured in the CEM/VLB1000 leukemia cell line following treatment with DNR alone or in combination with ginsenoside Rg3-R, ginsenoside Rg3-S, 20(S)-protopanaxatriol (PPT), and 20(S)-protopanaxadiol (PPD), in order to compare their relative efficacy in enhancing drug accumulation. Although Rg3-R and Rg3-S share highly similar chemical structures and are glycosylated derivatives of the PPD aglycone, Rg3-S exhibited greater potency in increasing intracellular daunorubicin accumulation than Rg3-R, and both were more effective than PPD. These findings underscore the importance of ginsenoside stereochemistry modulating P-gp-associated drug resistance and demonstrate the utility of the SCB platform for quantifying daunorubicin accumulation in multidrug-resistant leukemia cells at single-cell resolution. Full article
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23 pages, 4387 KB  
Article
Behavioral, Biochemical, and In Silico Evidence for Extraction-Dependent Neuroprotective Effects of Citrus limon Leaf Essential Oils in Scopolamine-Challenged Zebrafish
by Salwa Bouabdallah, Ahmed Kouki, Mona H. Ibrahim, Ion Brinza, Razvan Stefan Boiangiu, Mossadok Ben-Attia, Lucian Hritcu and Amr Amin
Pharmaceuticals 2026, 19(3), 458; https://doi.org/10.3390/ph19030458 - 11 Mar 2026
Viewed by 425
Abstract
Background/Objectives: Citrus limon leaf essential oil (EO) is traditionally used for its calming and cognitive-enhancing properties. Although the chemical composition of C. limon leaf essential oils (EOs) obtained by means of hydrodistillation (HD) and solvent-free microwave extraction (SFME) has been previously characterized, [...] Read more.
Background/Objectives: Citrus limon leaf essential oil (EO) is traditionally used for its calming and cognitive-enhancing properties. Although the chemical composition of C. limon leaf essential oils (EOs) obtained by means of hydrodistillation (HD) and solvent-free microwave extraction (SFME) has been previously characterized, the influence of the extraction method on their neuroprotective efficacy and dose–response effects remains insufficiently explored. In the present study, EOs obtained by means of HD (CEH) and SFME (CEM) were compared for their behavioral, biochemical, and in silico neuroprotective effects against scopolamine (SCOP)-induced cognitive and anxiety-like impairments in adult zebrafish. Methods: Adult Tübingen zebrafish were exposed to CEH or CEM via immersion at 10, 100, and 150 µL/L for 19 days prior to SCOP challenge (100 µM). Cognitive performance was evaluated using the Y-maze and novel object recognition (NOR) tests, while anxiety-like behavior was assessed using the novel tank test (NTT) and novel approach test (NAT). Brain acetylcholinesterase (AChE) activity and oxidative stress markers were quantified. Molecular docking analyses were conducted to investigate interactions between major EO constituents and AChE and monoamine oxidase A (MAO A). Results: Both CEH and CEM significantly attenuated SCOP-induced memory deficits, improved spontaneous alternation and NOR discrimination, and reduced anxiety-like behaviors. These effects were associated with AChE inhibition and restoration of redox balance. Notably, CEM generally exhibited stronger neurobehavioral and biochemical effects at comparable doses. In silico analyses supported these findings, revealing favorable binding affinities of key EO constituents toward cholinergic and monoaminergic targets. Conclusions: This study demonstrates that the extraction method influences the neuroprotective efficacy of C. limon leaf EOs. While both CEH and CEM exert antioxidant and cholinergic modulatory effects, CEM shows enhanced neuroprotective potential in a zebrafish model of SCOP-induced cognitive impairment, supporting the relevance of extraction-dependent biological profiling in EO-based neurotherapeutic research. Full article
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18 pages, 2683 KB  
Article
Engineering the Image Representation for Deep Learning in Contrast-Enhanced Mammography: A Systematic Analysis of Preprocessing and Anatomical Masking
by Roberta Fusco, Vincenza Granata, Paolo Vallone, Teresa Petrosino, Maria Daniela Iasevoli, Mauro Mattace Raso, Davide Pupo, Piero Trovato, Igino Simonetti, Paolo Pariante, Vincenzo Cerciello, Gerardo Ferrara, Modesta Longobucco, Giulia Capuano, Roberto Morcavallo, Caterina Todisco, Fabiana Antenucci, Mario Sansone, Daniele La Forgia and Antonella Petrillo
Bioengineering 2026, 13(3), 322; https://doi.org/10.3390/bioengineering13030322 - 11 Mar 2026
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Abstract
Deep-learning models applied to contrast-enhanced mammography (CEM) are known to be highly sensitive to the input image representation. However, preprocessing is often treated as a secondary step and rarely analyzed as an independent design variable. In this work, we present a systematic engineering [...] Read more.
Deep-learning models applied to contrast-enhanced mammography (CEM) are known to be highly sensitive to the input image representation. However, preprocessing is often treated as a secondary step and rarely analyzed as an independent design variable. In this work, we present a systematic engineering analysis of a deterministic, label-independent preprocessing pipeline for CEM images. The pipeline integrates intensity normalization, global histogram matching, local contrast enhancement, denoising, and anatomically constrained breast masking. Using a controlled experimental design, identical deep-learning architectures were trained under different input representations to isolate the impact of preprocessing on classification performance and stability. Across convolutional neural network architectures, anatomically constrained preprocessing consistently improves discrimination performance, reduces variability across cross-validation folds, and enhances training stability. Breast mask-based representations demonstrate substantial gains in AUROC and AUPRC compared to raw DICOM inputs. These findings highlight image preprocessing as a first-class engineering component in medical AI pipelines. Breast masking significantly improves robustness and generalization, independently of network architecture complexity. From a clinical perspective, improving model robustness and sensitivity to malignant lesions may contribute to more reliable AI-assisted decision support in contrast-enhanced mammography, particularly in settings characterized by acquisition variability and heterogeneous patient populations. Full article
(This article belongs to the Special Issue New Sights of Deep Learning and Digital Model in Biomedicine)
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