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26 pages, 1455 KB  
Article
Energy-Aware Time-Dependent Routing of Electric Vehicles for Multi-Depot Pickup and Delivery with Time Windows
by Ying Wang, Qiang Li, Jicong Duan, Qin Zhang and Yu Ding
Sustainability 2026, 18(7), 3255; https://doi.org/10.3390/su18073255 - 26 Mar 2026
Abstract
The rapid expansion of e-commerce and on-demand logistics has intensified the need for cost-effective and reliable urban distribution systems. This paper investigates an energy-aware routing problem for electric vehicle fleets operating from multiple depots under time-varying traffic conditions. We propose a novel multi-depot [...] Read more.
The rapid expansion of e-commerce and on-demand logistics has intensified the need for cost-effective and reliable urban distribution systems. This paper investigates an energy-aware routing problem for electric vehicle fleets operating from multiple depots under time-varying traffic conditions. We propose a novel multi-depot vehicle routing model that jointly incorporates time-dependent travel speeds, simultaneous pickup and delivery operations, and time window constraints. The model explicitly captures key operational realities, including battery capacity limitations, load- and speed-dependent energy consumption, synchronized pickup-delivery requirements, and soft time windows. The objective is to minimize total operational cost by simultaneously optimizing depot assignments, vehicle routes, and service schedules. Given the NP-hard nature of the problem, we develop a two-stage heuristic solution framework. In the first stage, a spatio-temporal clustering strategy is employed to assign customers to depots efficiently. In the second stage, route construction and improvement are performed using an enhanced Adaptive Large Neighborhood Search (ALNS) algorithm equipped with problem-specific destroy and repair operators. Computational experiments on adapted benchmark instances demonstrate that the proposed approach consistently produces high-quality solutions and exhibits robust convergence behavior. In addition, sensitivity analyses provide managerial insights, revealing an optimal range of vehicle energy capacity and an economically efficient speed band that balances travel time and energy consumption. Full article
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12 pages, 1409 KB  
Case Report
From Cytology to Frozen Section: Diagnostic Challenges in Riedel’s Thyroiditis—A Case Report and Brief Literature Review
by Diana-Raluca Streinu, Andreea Bena, Ion Icma, Ivan Codrut, Călin Muntean, Iuliana-Anamaria Trăilă and Dana Liana Stoian
J. Clin. Med. 2026, 15(7), 2529; https://doi.org/10.3390/jcm15072529 - 26 Mar 2026
Abstract
Background: Riedel’s thyroiditis is a rare fibrosing thyroid disorder that remains one of the most difficult to diagnose, often being initially interpreted as malignant due to its clinical, radiological, and histopathological similarities with anaplastic carcinoma or other infiltrative thyroid diseases. Preoperative investigations, [...] Read more.
Background: Riedel’s thyroiditis is a rare fibrosing thyroid disorder that remains one of the most difficult to diagnose, often being initially interpreted as malignant due to its clinical, radiological, and histopathological similarities with anaplastic carcinoma or other infiltrative thyroid diseases. Preoperative investigations, including fine-needle aspiration cytology (FNAC), may be misleading and contribute to an erroneous diagnosis of cancer. Methods: We report the case of a 44-year-old woman presenting with a rapidly enlarging, hard goiter associated with compressive symptoms and cytological findings suspicious for papillary thyroid carcinoma (Bethesda V). Based on these findings and the multidisciplinary team’s assessment, surgical intervention was undertaken. Intraoperatively, the thyroid gland was densely fibrotic and adherent to adjacent structures, prompting frozen-section analysis that revealed a benign fibroinflammatory process consistent with Riedel’s thyroiditis. This intraoperative finding guided the surgical team toward a near-total thyroidectomy, preventing unnecessary radical excision. Results: The paraffin-embedded section confirmed the diagnosis. Postoperative recovery was favorable, with complete resolution of compressive symptoms. Conclusions: This case highlights the persistent diagnostic challenges of Riedel’s thyroiditis and illustrates how intraoperative frozen-section examination can contribute to differentiating it from malignancy when preoperative findings remain inconclusive. A multidisciplinary approach and surgical expertise are essential in tailoring the extent of resection, preventing complications, and achieving both diagnostic confirmation and symptom relief. Full article
(This article belongs to the Special Issue Thyroid Disease: Updates from Diagnosis to Treatment: 2nd Edition)
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19 pages, 8418 KB  
Article
Functionalized Fullerene Nanomaterials: Evaluating Heteroatom Identity for Enhanced Charge-Transfer and Reactivity
by Abdullah M. S. Alhuthali, Khaled S. Amin, Hanan Elhaes and Medhat A. Ibrahim
Molecules 2026, 31(7), 1076; https://doi.org/10.3390/molecules31071076 (registering DOI) - 25 Mar 2026
Abstract
This study explored the electronic and structural tunability of fullerene (C60) derivatives via functionalization with heteroatoms (O, S, Se) in mono-, di-, and tri-bridged configurations, including covalently modeled dimers. Calculations were performed using density functional theory (DFT) at the B3LYP/6-31G(d,p) level. [...] Read more.
This study explored the electronic and structural tunability of fullerene (C60) derivatives via functionalization with heteroatoms (O, S, Se) in mono-, di-, and tri-bridged configurations, including covalently modeled dimers. Calculations were performed using density functional theory (DFT) at the B3LYP/6-31G(d,p) level. Electronic descriptors such as total dipole moments (TDMs), HOMO–LUMO energy gaps (ΔE), global reactivity descriptors, total density of states (TDOS), molecular electrostatic potential (MESP) and non-covalent interactions (NCIs) were analyzed to elucidate how functionalization alters reactivity and stability. Key findings indicate that TDM increases and ΔE decreases in all functionalized C60; for example, the TDM increased from 0 Debye for C60 to 2.156 Debye for C60–O–S–Se, and ΔE decreased from 2.762 eV (C60) to 2.532 eV (C60–Se), indicating enhanced reactivity. This aligns with global reactivity descriptors such as reduced ionization energy and hardness. Mapped MESP surfaces showed activation around heteroatom sites. Quantum theory of atoms in molecules (QTAIM) and NCI analyses revealed that while mono-bridged structures retain covalent linkages, dimeric systems such as C60–O–C60 and C60–S–C60 relax into weak, van der Waals-type interactions. OPDOS (overlap population density of states) highlighted antibonding character between the fragments in the conduction region. These results demonstrate that heteroatom functionalization enhances the electronic properties of C60, making it a promising candidate for optoelectronic, organic photovoltaic, and sensor applications. Full article
(This article belongs to the Special Issue Fullerene and Its Application)
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29 pages, 7741 KB  
Article
How Do Multi-Actor Environmental Sentiment Tendencies Affect the Green Transformation of Chinese Energy Companies? The Moderating Role of Economic and Climate Policy Uncertainty
by Jiaqi Wang, Chengping Wang, Tingqiang Chen and Maodi Tong
Sustainability 2026, 18(7), 3190; https://doi.org/10.3390/su18073190 - 24 Mar 2026
Abstract
Existing research on green transformation predominantly emphasizes “hard constraints” such as carbon taxes and environmental regulations, while neglecting “soft constraints” shaped by environmental sentiment expressions from key actors such as the public, financial institutions, media, and government. In particular, the collective influence of [...] Read more.
Existing research on green transformation predominantly emphasizes “hard constraints” such as carbon taxes and environmental regulations, while neglecting “soft constraints” shaped by environmental sentiment expressions from key actors such as the public, financial institutions, media, and government. In particular, the collective influence of these multi-actor environmental sentiments remains insufficiently explored. This study fills that gap by constructing a collaborative governance framework using multi-source heterogeneous data from China spanning 2013–2023, including 330 provincial government work reports, 1862 bank annual reports, 2472 newspaper articles, and 68,519 Weibo posts, matched to 4708 firm-year observations of Chinese A-share energy companies. We quantify environmental sentiment tendencies through natural language processing, calculating the index as (negative word frequency − positive word frequency)/total word frequency at the province-year level, thus higher index value indicates more negative sentiment tendency, while green transformation is proxied by ln(green patent applications + 1). The results reveal the following: (1) More negative environmental sentiment tendencies from financial institutions, media, public, and government significantly promote green transformation in energy enterprises, with stronger effects observed from financial institutions and government. (2) Economic and climate policy uncertainty selectively weaken the impact of financial institutions’ sentiment, while the moderating effects for other actors are statistically insignificant. (3) The effect of multi-actor environmental sentiment is more pronounced for firms located in eastern China, operating under high competition or stricter environmental regulations. This study provides a novel, quantified approach to assessing multi-actor environmental sentiment tendencies, affirms the effectiveness of informal governance, and highlights the importance of stable policy in guiding corporate green transformation in emerging economies. Full article
(This article belongs to the Section Economic and Business Aspects of Sustainability)
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16 pages, 1786 KB  
Article
Optimisation of the WC-Co Composite Manufacturing Process Using Spark Plasma Sintering Technology with the DOE Methodology
by Robert Kruzel, Tomasz Dembiczak, Zbigniew Bałaga, Marcin Lis, Dariusz Kołacz, Joanna Wachowicz, Sylvia Kuśmierczak and Nataša Náprstková
Materials 2026, 19(7), 1278; https://doi.org/10.3390/ma19071278 - 24 Mar 2026
Viewed by 69
Abstract
The research conducted in this paper is a practical example of the Design of Experiments methodology. In accordance with the assumptions of the experimental design, the authors drew attention to the problem: how should the spark plasma sintering process be planned to obtain [...] Read more.
The research conducted in this paper is a practical example of the Design of Experiments methodology. In accordance with the assumptions of the experimental design, the authors drew attention to the problem: how should the spark plasma sintering process be planned to obtain the maximum amount of information needed to optimise the consolidation of the WC-6Co composite at the lowest possible cost? The DOE methodology—a powerful technique for investigating new processes and gaining knowledge about existing ones in order to optimise them for high performance—was employed in the study. The aim of the research was to optimise the consolidation of the spark-plasma sintering process of the WC-6Co composite using the DoE (Design of Experiments) methodology. Four sintering factors were selected for the study: sintering temperature (factor A, 1300–1400 °C); heating rate (factor B, 100–300 °C/min); sintering time (factor C, 150–600 s); and pressure (factor D, 40–50 MPa). Each consolidation factor was designed to cover three levels. The L9 orthogonal array was used. It was found that sintering temperature and heating rate had the greatest impact on apparent density. To validate the statistical model, sintering tests were performed at a temperature of 1380 °C, a heating rate of 100 °C/min, a sintering time of 150 s and a pressing pressure of 45 MPa. Validation analysis of the statistical model demonstrated consistency with the experimental results. The WC-6Co composite achieved an apparent density of 14.85 g/cm3, corresponding to 97.42% of the theoretical density, with a hardness of 1809 HV30 and total porosity of 2.583%. X-ray diffraction studies revealed the presence of tungsten carbide and cobalt in the structure. Full article
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18 pages, 3115 KB  
Article
Effects of Green Rice Husk Dietary Fiber and Hydrocolloids on the Physicochemical, Structural, Bioactive, and Sensory Properties of Gummy Products
by Tipaukson Chaikwang, Hua Li and Sirithon Siriamornpun
Foods 2026, 15(7), 1114; https://doi.org/10.3390/foods15071114 - 24 Mar 2026
Viewed by 74
Abstract
Green rice husk dietary fiber (GHDF) is an underutilized agricultural by-product with promising potential for applications in the food industry. This study investigated the effects of incorporating dietary fiber from GHDF at 1%, 3%, and 5% together with different hydrocolloids, including xanthan gum [...] Read more.
Green rice husk dietary fiber (GHDF) is an underutilized agricultural by-product with promising potential for applications in the food industry. This study investigated the effects of incorporating dietary fiber from GHDF at 1%, 3%, and 5% together with different hydrocolloids, including xanthan gum (XG), carrageenan (CC), and guar gum (GG), on the physical and chemical, textural properties, and consumer acceptance of gummy products. The results showed that adding more GHDF increased the nutritional value of the gummies, with total dietary fiber ranging from 1.01 to 5.02 g per 100 g of product. FTIR results also showed that fiber from green rice husk was present in the gummies. The combined addition of GHDF and hydrocolloids also affected the internal gel structure of the products. This interaction made the gel structure stronger, resulting in firmer gummies with greater hardness, gumminess, and chewiness. In addition, higher GHDF levels contributed to reduced syneresis. Among the hydrocolloids tested, xanthan gum produced the strongest gel, while the formulation with 3% GG received the highest consumer liking scores. These results suggest that GHDF could be used as a useful ingredient to develop food products with higher nutritional value and better use of agricultural by-products. Full article
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21 pages, 7314 KB  
Article
List of Hard Ticks (Acari: Ixodida: Ixodidae) in Subterranean Habitats in Croatia
by Stjepan Krčmar and Roman Ozimec
Pathogens 2026, 15(3), 343; https://doi.org/10.3390/pathogens15030343 - 23 Mar 2026
Viewed by 122
Abstract
Between 1993 and 2024, a total of 274 hard ticks (Ixodidae) were collected from 138 subterranean localities in Croatia. This study represents the most extensive survey of hard tick fauna in subterranean habitats in Croatia to date. The collected specimens were classified into [...] Read more.
Between 1993 and 2024, a total of 274 hard ticks (Ixodidae) were collected from 138 subterranean localities in Croatia. This study represents the most extensive survey of hard tick fauna in subterranean habitats in Croatia to date. The collected specimens were classified into three genera and seven taxa, including two taxa that could not be identified to the species level (one from the genus Ixodes and one from Haemaphysalis). The genus Ixodes was the most abundant, comprising five taxa, whereas Haemaphysalis and Hyalomma were each represented by a single taxon. The highest diversity of hard ticks was recorded in subterranean habitats in Dalmatia, followed by north-western Croatia and Slavonia. Ixodes vespertilionis Koch, 1844 was the dominant species in the collected sample, representing 81.0% of all specimens, and was recorded in all studied regions. This species was present throughout the entire year, whereas I. hexagonus Leach, 1815 was recorded during nine months, I. frontalis (Panzer, 1798) during four months, and the remaining taxa during shorter periods. The largest number of I. vespertilionis specimens was collected in spring (33.2%), while the lowest number was recorded in winter (16.6%). The record of I. frontalis represents the first documented occurrence of this species in subterranean habitats in Croatia. Full article
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18 pages, 6121 KB  
Article
Community Composition and Dynamics of Freshwater Biofouling on Coated Inland Vessel Models in the Danube River
by Sanja Šovran, Ana Knežević, Danijela Vidaković, Slađana Popović, Milan Kalajdžić and Nikola Unković
Phycology 2026, 6(1), 33; https://doi.org/10.3390/phycology6010033 - 23 Mar 2026
Viewed by 163
Abstract
The present study investigated the community composition and dynamics of freshwater biofouling on fiberglass inland waterway vessel (IWV) models coated with two commercial antifouling paints deployed in the Danube River (Serbia) for a total of five months. Biofouling was characterized using visual observations, [...] Read more.
The present study investigated the community composition and dynamics of freshwater biofouling on fiberglass inland waterway vessel (IWV) models coated with two commercial antifouling paints deployed in the Danube River (Serbia) for a total of five months. Biofouling was characterized using visual observations, in situ optical microscopy, the rapid ATP bioluminescence method, dry biomass measurements, and analyses of phototrophic and fungal communities. Based on the results, Hard Racing TecCel demonstrated the highest suppression of biofouling, with the lowest biomass accumulation and reduced algal diversity. At all stages of biofouling, diatoms dominated the phototrophic community, comprising 123 taxa. Achnanthidium minutissimum and Gomphonella olivacea were shown to be persistent hull colonizers, while Cyanobacteriophyta and Chlorophyta had reduced presence. Overall, the results highlight a slower progression of freshwater biofouling compared to marine systems and emphasize the need for the development of tailored antifouling strategies for IWVs to reduce environmental impact and operational costs. Full article
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21 pages, 3115 KB  
Article
Low-Carbon Economic Dispatch and Settable Incentive-Based Demand Response for Integrated Electro–Heat–Hydrogen Energy Systems Based on Safety Transformer–PPO
by Jia Zhengjian, Yang Wanchun, Huang Xin, Liang Nan, Liu Yupeng, Wang Xiaojun and Song Yu
Energies 2026, 19(6), 1578; https://doi.org/10.3390/en19061578 - 23 Mar 2026
Viewed by 116
Abstract
This paper proposes a safety-constrained Transformer–PPO framework for low-carbon economic dispatch with settable incentive-based demand response (DR) in wind–PV integrated electro–thermal–hydrogen industrial-park energy systems. Hydrogen is modeled as exogenous hydrogen-domain demand and is satisfied through electrolyzer production and hydrogen inventory dynamics. A causal [...] Read more.
This paper proposes a safety-constrained Transformer–PPO framework for low-carbon economic dispatch with settable incentive-based demand response (DR) in wind–PV integrated electro–thermal–hydrogen industrial-park energy systems. Hydrogen is modeled as exogenous hydrogen-domain demand and is satisfied through electrolyzer production and hydrogen inventory dynamics. A causal Transformer captures long-horizon multi-energy coupling and intertemporal constraints and is trained with PPO under uncertainty. A dual-layer safety mechanism combines dual-variable (Lagrange multiplier) updates for statistical constraints with an execution-layer quadratic-programming action projection to enforce hard physical constraints, including operating limits, ramping, battery SOC, hydrogen inventory bounds, and energy balance. Baseline–verification–settlement rules and budget-ledger states are embedded to ensure verifiable response quantities and settlement outcomes that are traceable and independently recompilable. Case studies on a real industrial-park scenario in Inner Mongolia show reduced peak-hour maximum grid purchase demand and constraint violations, together with lower total cost, carbon cost, and curtailment penalties versus MILP, PPO-MLP, and Transformer–PPO without safety mechanisms. Full article
(This article belongs to the Special Issue Energy Systems: Optimization, Modeling, and Simulation)
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29 pages, 48057 KB  
Article
Study on the Mechanisms of Hard Roof Instability and Rock Burst Under Faults
by Wenhao Guo, Haonan Liu, Chaorui Jiang, Weiming Guan, Yingyuan Wen, Anye Cao, Songwei Wang, Lizhen Xu and Zhen Lv
Symmetry 2026, 18(3), 542; https://doi.org/10.3390/sym18030542 - 23 Mar 2026
Viewed by 130
Abstract
Rock bursts frequently occur in the fault group area in China, seriously restricting the safe and efficient production of coal mines. Based on field investigation, physical experiments, and numerical simulation, this study investigates the rupture types and spatial evolution of microseismic events during [...] Read more.
Rock bursts frequently occur in the fault group area in China, seriously restricting the safe and efficient production of coal mines. Based on field investigation, physical experiments, and numerical simulation, this study investigates the rupture types and spatial evolution of microseismic events during the excavation of working face through fault group areas in the TB Coal Mine, where the hard roof asymmetric is cut by faults. It reveals the cooperative instability mechanism of faults and hard roof, as well as the mechanisms of rock burst. Targeted rock burst prevention measures are proposed, including “roof blasting to cut off dynamic and static load transfer” and “coal blasting to reduce abutment stress”. The results demonstrate the following: (1) during mining in fault group areas, the synchronous activation of faults induces shear-type and high-energy microseismic events and the subsequent movement of hard roof, which has been cut by faults, forms asymmetric parallelograms and symmetric inverted trapezoids, and induces tensile-type and high-energy microseismic events. The synchronous activation of faults and the breaking of the hard roof are identified as the primary reason for high-energy microseismic events. (2) As the fault dip angle approaches 90º, the compressive strength of the fault-segmented hard roof strata decreases. Under synchronous activation of faults, roof failure concentrates in the central, right, and left sections for fault combinations with dip angles of 70° + 70°, 90° + 70°, and 110° + 70°, respectively. (3) Numerical simulations reveal two rock burst mechanisms in faults—hard roof systems: a forward “high dynamic stress and high static stress” type and a rear “low dynamic stress and high static stress “ type, which is consistent with in situ monitoring data. (4) For the three stages in which the 502 working face approaches, passes through, and mines away from the fault group area, a stress relief scheme combining roof blasting and coal blasting is proposed. Compared with the 501 working face, during the mining of the 502 working face, the total microseismic frequency and energy decreased by 71.9% and 87.9%, respectively, and the effectiveness of these measures is verified. Full article
(This article belongs to the Section Engineering and Materials)
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23 pages, 13237 KB  
Article
Dynamic Cutting Analysis: How Edge Geometry and Material Microstructure Affect Knife Cutting Performance
by Shun Xu, Dong Wu, Qinyi Zhang, Ruiling Huang, Yujie Wu, Yu Li and Wei Liu
Metals 2026, 16(3), 354; https://doi.org/10.3390/met16030354 - 22 Mar 2026
Viewed by 90
Abstract
Sharpness and cutting edge retention are critical performance metrics for kitchen knives. Their combined effectiveness is governed by the synergistic effects of edge geometry and material microstructure. The present study selected six representative knife steels, namely 3Cr13, 1.4116, 9Cr18MoV, T10, GCr15, and CPM [...] Read more.
Sharpness and cutting edge retention are critical performance metrics for kitchen knives. Their combined effectiveness is governed by the synergistic effects of edge geometry and material microstructure. The present study selected six representative knife steels, namely 3Cr13, 1.4116, 9Cr18MoV, T10, GCr15, and CPM 3V, to fabricate the experimental knives with edge inclusive angles of 18°, 24°, and 30°. Standardized CATRA cutting tests were conducted to evaluate the effects of material microstructure and edge geometry on initial cutting performance (ICP) and total card cut (TCC), serving as the direct metrics for sharpness and cutting edge retention, respectively. The underlying mechanisms responsible for the cutting behavior were elucidated through scanning electron microscopy, quantitative analysis of carbides, and measurements of edge wear volume. The roles of carbide number, size, and morphology in ICP and TCC were systematically analyzed. Furthermore, multivariate linear regression models were established to quantitatively correlate ICP and TCC with edge inclusive angle, material hardness, average carbide diameter, and edge width. The results indicate that the edge inclusive angle predominantly determines ICP, while TCC is primarily controlled by the synergistic interaction between carbide characteristics and matrix hardness. Although a smaller edge inclusive angle significantly enhances ICP, it also accelerates edge wear and reduces cutting efficiency. By comprehensively considering both ICP and TCC, an optimal edge inclusive angle range was identified for each material to achieve balanced cutting performance. This work provides experimental evidence and quantitative guidance for the material selection and edge geometry design of high-performance kitchen knives. Full article
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20 pages, 4125 KB  
Article
Characterization of PC-ABS and PETG Multi-Material Laminates Fabricated by MEX Method
by Mahalingam Nainaragaram Ramasamy, Ales Sliva, Akash Nag, Quoc-Phu Ma, Ondrej Hilser, Marie Heliova, Grazyna Simha Martynkova, Silvie Brozova and Jan Dizo
Polymers 2026, 18(6), 763; https://doi.org/10.3390/polym18060763 - 20 Mar 2026
Viewed by 247
Abstract
Material-extrusion (MEX) printing with automated filament switching enables single-build multi-material laminates, but interfaces between dissimilar polymers may govern failure. Here, monolithic PETG, monolithic PC–ABS, and an alternating PETG/PC–ABS laminate (COMP) with 0.2 mm laminae (4 mm total) were fabricated and benchmarked. Tensile behavior [...] Read more.
Material-extrusion (MEX) printing with automated filament switching enables single-build multi-material laminates, but interfaces between dissimilar polymers may govern failure. Here, monolithic PETG, monolithic PC–ABS, and an alternating PETG/PC–ABS laminate (COMP) with 0.2 mm laminae (4 mm total) were fabricated and benchmarked. Tensile behavior was measured using ISO 527-2 Type 1B specimens at 5 and 50 mm/min, complemented by three-point bending in horizontal/vertical orientations, unnotched Charpy impact (ISO 179), Shore D hardness (ISO 868), and SEM fractography. COMP delivered the highest horizontal flexural strength (159.82 ± 25.42 MPa), exceeding both single-material baselines, indicating improved bending load capacity in the preferred orientation. In Charpy impact, COMP absorbed more energy than PETG in the horizontal condition (0.86 ± 0.14 J vs. 0.57 ± 0.06 J) but remained below PC–ABS. In tension, COMP strength decreased by ~21–23% relative to PETG and by ~5–6% relative to PC–ABS at both speeds, consistent with interface-controlled damage. SEM revealed void-assisted crack initiation and interfacial debonding aligned with raster paths, highlighting interfacial strengthening and porosity reduction as key routes to improve tensile performance while retaining favorable flexural and impact response. Full article
(This article belongs to the Section Polymer Processing and Engineering)
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11 pages, 1879 KB  
Article
Impact of Fertilizer Restriction Period on Bermudagrass Traffic Tolerance and Recovery
by Alex J. Lindsey, Jaspal Singh, Natasha Restuccia and Victor Abarca
Agronomy 2026, 16(6), 655; https://doi.org/10.3390/agronomy16060655 - 20 Mar 2026
Viewed by 155
Abstract
Seasonal fertilizer restriction periods (blackouts) are commonly implemented in Florida to reduce potential nutrient losses during the summer rainy season; however, their effects on sports turf performance under traffic stress are not well documented. A two-year field study (2022–2023) was conducted in Citra, [...] Read more.
Seasonal fertilizer restriction periods (blackouts) are commonly implemented in Florida to reduce potential nutrient losses during the summer rainy season; however, their effects on sports turf performance under traffic stress are not well documented. A two-year field study (2022–2023) was conducted in Citra, FL, to evaluate the influence of nitrogen (N) fertilization timing and frequency on ‘Bimini’ bermudagrass (Cynodon dactylon L. Pers.) traffic tolerance and post-traffic recovery. Treatments included bi-weekly (24.4 kg N ha−1) and monthly (48.8 kg N ha−1) N applications, a pre-blackout (97.6 kg N ha−1) N application, and a non-treated control. Simulated traffic was applied using a modified Baldree traffic simulator for a total of 60 traffic events each year. Turfgrass performance during traffic and recovery was assessed using percent green cover (PGC), dark green color index (DGCI), soil moisture, surface hardness, and rotational resistance. In both years, bi-weekly and monthly N applications consistently resulted in greater PGC and DGCI during traffic and recovery compared to the pre-blackout and non-treated treatments. The pre-blackout treatment provided limited and inconsistent benefits, particularly under prolonged traffic stress. Fertilizer effects on soil moisture and surface hardness varied between years, while rotational resistance was unaffected by treatment. These results indicate that reliance on pre-blackout fertilization alone may be insufficient to maintain bermudagrass traffic tolerance and recovery during periods of sustained traffic stress. Under sustained traffic pressure, applying a single fertilizer treatment just before the restriction period was less effective and produced inconsistent improvements in turfgrass coverage and color compared with staged fertilization during the growing season, reinforcing that routine N fertilization is necessary when turfgrass experiences sustained traffic. Full article
(This article belongs to the Section Grassland and Pasture Science)
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18 pages, 2039 KB  
Article
Impact of Surface Water Pollution on Biodiversity and Photosynthetic Activity of Phytoplankton in the Kalmius River
by Sergey Chufitskiy, Besarion Meskhi, Anastasiya Olshevskaya, Victoria Shevchenko, Mary Odabashyan, Denis Kozyrev, Arkady Mirzoyan, Anna Vershinina and Lusine Gukasyan
Diversity 2026, 18(3), 188; https://doi.org/10.3390/d18030188 - 20 Mar 2026
Viewed by 173
Abstract
In order to determine the condition of drinking water sources in Donetsk Region and assess potential threats related to water pollution from mining and industrial wastewater, it is extremely important to monitor surface waters, which should include an assessment of the condition of [...] Read more.
In order to determine the condition of drinking water sources in Donetsk Region and assess potential threats related to water pollution from mining and industrial wastewater, it is extremely important to monitor surface waters, which should include an assessment of the condition of gydrobionts. Additionally, declining surface water quality in the region contributes to pollution in the coastal waters of the Sea of Azov. This study presents the monitoring results for the southern part of the Kalmius River basin. Analysis of water samples revealed contamination by phenol, sulfates, chlorides, anionic surfactants, iron, elevated water hardness, and significant exceedances of suspended solids and total dissolved solids. The iron concentration at the Kalmius River estuary reached 0.81 mg∙L−1, exceeding the permissible limit by 2.5-fold. Sulfate and total dissolved solids concentrations attained 1673 and 160 mg∙L−1, respectively. Changes in the species composition of phytoplankton were observed in response to variations in iron, manganese, and phenol concentrations in the water. Specifically, elevated iron levels led to increased abundance of the metal-sensitive species Cyclotella meneghiniana Kützing. Principal component analysis of the data revealed a relationship between increased phenol concentrations in the aquatic environment and a mean 20% reduction in phytoplankton cell photosynthetic activity, as well as the influence of manganese ions on cell abundance and photopigment content. Thus, phytoplankton cell fluorescence, alongside shifts in species composition and photosynthetic pigment content, can serve as an additional indicator of surface water pollution by iron and phenol. Full article
(This article belongs to the Section Freshwater Biodiversity)
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19 pages, 2404 KB  
Article
Flight Schedule Problem Optimization Based on Discrete Memory-Enhanced Restructured Particle Swarm Optimization Algorithm
by Wei Gao, Bingnan Wu, Jianhua Liu and Daoming Tang
Algorithms 2026, 19(3), 233; https://doi.org/10.3390/a19030233 - 19 Mar 2026
Viewed by 102
Abstract
Flight Schedule Problem optimization is a typical NP-hard combinatorial optimization problem that is challenging to solve using traditional algorithms, so metaheuristic algorithms are commonly adopted for such problems. This paper proposes a Discrete Memory-Enhanced Restructured Particle Swarm Optimization algorithm (DMERPSO) to address Flight [...] Read more.
Flight Schedule Problem optimization is a typical NP-hard combinatorial optimization problem that is challenging to solve using traditional algorithms, so metaheuristic algorithms are commonly adopted for such problems. This paper proposes a Discrete Memory-Enhanced Restructured Particle Swarm Optimization algorithm (DMERPSO) to address Flight Scheduling Problem optimization. Firstly, this paper designs a hybrid particle encoding scheme capable of simultaneously handling flight time adjustments (integer variables) and route selections (categorical variables) for the Flight Schedule Problem. Secondly, a new update equation of particle positions is provided based on probability selection within the three terms of the Memory-Enhanced Restructured Particle Swarm Optimization (MERPSO) algorithm, and the calculation of the selection probability is designed. Thirdly, the two strategies and perturbation terms of MERPSO are improved in order to be adapted to optimize the discrete Flight Schedule Problem. Finally, simulation experiments are conducted using DMERPSO based on real flight data from multiple Chinese airports with the objective of minimizing total flight delays, leading to better solutions that are faster than various benchmark algorithms. The DMERPSO algorithm exhibits significant advantages in reducing total delays, improving solution stability, and enhancing robustness, which validates that DMERPSO provides an effective new approach for solving Flight Schedule Problem optimization problems. Full article
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