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14 pages, 2497 KB

Open AccessCommunication

Optimizing Volumetric Ratio and Supporting Electrolyte of Tiron-A/Tungstosilicic Acid Derived Redox Flow Battery

by Yong Jin Cho, Jun-Hee Jeong and Byeong Wan Kwon

Materials 2025, 18(19), 4614; https://doi.org/10.3390/ma18194614 (registering DOI) - 5 Oct 2025

Redox flow batteries (RFBs) are a promising technology for large-scale energy storage due to their safety, scalability, and design flexibility. This study investigated a tiron-A (4,5-dihydroxybenzene-1,3-disulfonic acid)/tungstosilicic acid (TSA) RFB system, focusing on optimizing the supporting electrolyte and the volumetric ratio of the [...] Read more.

Redox flow batteries (RFBs) are a promising technology for large-scale energy storage due to their safety, scalability, and design flexibility. This study investigated a tiron-A (4,5-dihydroxybenzene-1,3-disulfonic acid)/tungstosilicic acid (TSA) RFB system, focusing on optimizing the supporting electrolyte and the volumetric ratio of the catholyte (tiron-A) to anolyte (TSA). Electrochemical characteristics, confirmed by CV and EIS, showed that sulfuric acid was the most suitable supporting electrolyte due to its excellent cell potential and lower ohmic resistance compared to sodium chloride and sodium hydroxide electrolytes. To address the inherent electron capacity imbalance between tiron-A (two electrons) and TSA (four electrons), various volumetric ratios were evaluated. The cell with the 3:1 tiron-A:TSA ratio exhibited optimal performance, achieving the highest discharge capacity, excellent cycle stability, and consistent energy efficiency. The electrochemical impedance spectroscopy results revealed that the ohmic resistance was minimized at the 3:1 ratio. This stable, low-ohmic resistance, coupled with a significant reduction in charge transfer resistance after cycling, was confirmed as the dominant factor for the improved long-term performance. These findings demonstrate an effective strategy for developing a high-performance performance tiron-A/TSA RFB system. Full article

(This article belongs to the Section Electronic Materials)

19 pages, 11841 KB

Open AccessArticle

Fabrication and Mechanism of Pickering Emulsions Stability over a Broad pH Range Using Tartary Buckwheat Protein–Sodium Alginate Composite Particles

by Yu Song, Xueli Shen, Gangyue Zhou, Xia Xu, Yanan Cao, Wei Li, Yichen Hu, Jianglin Zhao, Dingtao Wu, Zunxi Huang and Liang Zou

Foods 2025, 14(19), 3429; https://doi.org/10.3390/foods14193429 (registering DOI) - 5 Oct 2025

Abstract

In this study, the insufficient ability of tartary buckwheat protein (TBP) to stabilize Pickering emulsions was addressed by preparing TBP–sodium alginate (SA) composite particles via cross-linking and systematic optimization of the preparation parameters. The results showed that at a pH of 9.0 with [...] Read more.

In this study, the insufficient ability of tartary buckwheat protein (TBP) to stabilize Pickering emulsions was addressed by preparing TBP–sodium alginate (SA) composite particles via cross-linking and systematic optimization of the preparation parameters. The results showed that at a pH of 9.0 with 1.0% (w/v) TBP and 0.2% (w/v) SA, the zeta potential of the prepared TBP–SA composite particles was significantly more negative, and the particle size was significantly larger, than those of TBP, while emulsifying activity index and emulsifying stability index increased to 53.76 m²/g and 78.78%, respectively. Scanning electron microscopy confirmed the formation of a dense network structure; differential scanning calorimetry revealed a thermal denaturation temperature of 83 °C. Fourier transform infrared spectroscopy and surface hydrophobicity results indicated that the complex was formed primarily through hydrogen bonding and hydrophobic interactions between TBP and SA, which induced conformational changes in the protein. The Pickering emulsion prepared with 5% (w/v) TBP–SA composite particles and 60% (φ) oil phase was stable during 4-month storage, at a high temperature of 75 °C, high salt conditions of 600 mM, and pH of 3.0–9.0. The stabilization mechanisms may involve: (1) strong electrostatic repulsion provided by the highly negative zeta potential; (2) steric hindrance and mechanical strength imparted by the dense interfacial network; and (3) restriction of droplet mobility due to SA-induced gelation. Full article

(This article belongs to the Special Issue Advanced Technology to Improve Plant Protein Functionality)

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43 pages, 5132 KB

Open AccessArticle

Multi-Technique Flavoromics for Identifying Key Differential Volatile Compounds Underlying Sensory Profiles in Lager Beers

by Yiyuan Chen, He Huang, Ruiyang Yin, Xiuli He, Liyun Guo, Yumei Song, Dongrui Zhao, Jinyuan Sun, Jinchen Li, Mingquan Huang and Baoguo Sun

Foods 2025, 14(19), 3428; https://doi.org/10.3390/foods14193428 (registering DOI) - 5 Oct 2025

Abstract

In this study, inter-brand variations in volatile flavor compound profiles of four lager beers were systematically investigated by integrating sensory evaluation with GC-MS, GC×GC-TOF-MS, and GC-O-MS. A total of 594 volatile compounds were identified, of which 71 with odor activity values (OAV) ≥ [...] Read more.

In this study, inter-brand variations in volatile flavor compound profiles of four lager beers were systematically investigated by integrating sensory evaluation with GC-MS, GC×GC-TOF-MS, and GC-O-MS. A total of 594 volatile compounds were identified, of which 71 with odor activity values (OAV) ≥ 1 were found to contribute directly to aroma expression. Additionally, 59 compounds with taste activity values (TAV) ≥ 1 were identified and may also contribute to taste perception. Furthermore, 53 aroma-active compounds were confirmed through GC-O-MS, providing additional evidence for their sensory contribution. Partial least squares discriminant analysis (PLS-DA), correlation analysis, and flavor addition experiments revealed brand-specific differential flavor compounds. Ultimately, twenty key differential flavor compounds, encompassing esters, alcohols, aromatic compounds, acids, lactones, and others, were confirmed to contribute to fruity, floral, burnt, and sweet notes. Phenethyl alcohol, with concentrations varying from 1377.1 mg/L in QD to 3297.5 mg/L in HR, showed a more than 2.4-fold difference across brands and was strongly associated with fruity (r = 0.553) and floral (r = 0.564) aroma. These compounds acted in combination to shape distinct aroma profiles. This study provides a molecular-level basis for understanding lager beer flavor and offers practical guidance for targeted flavor modulation in brewing. Full article

(This article belongs to the Special Issue Sensory Detection and Analysis in Food Industry)

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21 pages, 6873 KB

Open AccessArticle

Re-Imagining Waste: CBA-Modified High-Strength Mortar as a Blueprint for Greener Construction

by Shivam Kumar, Deepthi Shenoy, Vansh Vardhan, Kiran Choudhary, Laxman P. Kudva and H. K. Sugandhini

Constr. Mater. 2025, 5(4), 76; https://doi.org/10.3390/constrmater5040076 (registering DOI) - 5 Oct 2025

Abstract

The search for viable alternative resources is essential for advancing sustainable development in the construction industry. A significant global concern is the substantial generation of industrial waste, particularly coal ash byproducts such as fly ash (FA) and coal bottom ash (CBA) from thermal [...] Read more.

The search for viable alternative resources is essential for advancing sustainable development in the construction industry. A significant global concern is the substantial generation of industrial waste, particularly coal ash byproducts such as fly ash (FA) and coal bottom ash (CBA) from thermal power plants (TPPs). India ranks as the third-largest producer of coal ash globally and the second-largest in Asia, generating approximately 105 million metric tonnes annually. While TPP-derived wastes have been extensively studied in masonry mortars, the potential of CBA as a partial or complete replacement for natural fine aggregates (NFA) in high-strength mortar (HSM) remains significantly underexplored. This study investigates the fresh, mechanical, and microstructural properties of mortar incorporating CBA as a substitute for NFA, specifically up to a 100% replacement level Flow table tests revealed improved workability with increasing CBA content, which is attributed to its porous microstructure; however, significant bleeding was observed at higher replacement levels (≥75%). The dry density consistently decreased with the addition of CBA with a reduction of up to 19.27% at full replacement. Ultrasonic pulse velocity (UPV) values declined with higher levels of CBA but improved with curing age. The mortar incorporating up to 100% CBA retains appreciable mechanical properties despite a progressive reduction in compressive strength (C_S) with increasing CBA content. The observed compressive strengths for the different mixes were as follows: control mix (CM) at 36.72 MPa, mix with 25% CBA (CBA25) at 25.56 MPa, mix with 50% CBA (CBA50) at 19.69 MPa, mix with 75% CBA (CBA75) at 16 MPa, and mix with 100% CBA (CBA100) at 9.93 MPa. All mixes exceeded the minimum strength criteria, confirming their classification as HSMs at all replacement levels. These results highlight the potential of CBA as a sustainable alternative in construction materials, supporting efforts toward resource efficiency and environmental sustainability in the industry. Full article

(This article belongs to the Topic Green Construction Materials and Construction Innovation)

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29 pages, 5343 KB

Open AccessArticle

Sound Absorption and Thermal Insulation by Polyurethane Foams Reinforced with Bio-Based Lignocellulosic Fillers: Data and Modeling

by Batol Masruri, Ebrahim Taban, Ali Khavanin and Keith Attenborough

Buildings 2025, 15(19), 3590; https://doi.org/10.3390/buildings15193590 (registering DOI) - 5 Oct 2025

Abstract

The acoustic, thermal, and mechanical performances of sawdust-reinforced polyurethane (PU) foam are investigated for different thicknesses and varying mesh sizes. Acoustic properties are explored using a combination of impedance tube testing and mathematical modeling with the Johnson–Champoux–Allard–Lafarge (JCAL) model, a simplified JCAL model [...] Read more.

The acoustic, thermal, and mechanical performances of sawdust-reinforced polyurethane (PU) foam are investigated for different thicknesses and varying mesh sizes. Acoustic properties are explored using a combination of impedance tube testing and mathematical modeling with the Johnson–Champoux–Allard–Lafarge (JCAL) model, a simplified JCAL model and a model of non-uniform cylindrical pores with a log-normal radius distribution (NUPSD). Thermal Insulation and mechanical properties are determined by measuring the effective thermal conductivity (K_eff) and by tensile strength tests, respectively. Compared with pure PU foam, the presence of sawdust matches noise reduction coefficients (NRC) and increases sound absorption averages (SAA) by nearly 10%. Increasing thickness and width of backing air gap have the usual effects of improving low- and mid-frequency absorption and shifting resonance peaks toward lower frequencies. As well as superior acoustic performance, samples with Mesh 16 sawdust reinforcement provide both useful insulation (K_eff = 0.044 W/mK) and tensile strength (~0.06 MPa), confirming their multifunctionality. Although the JCAL model provides reasonable fits to the sound absorption data, some of the fitted parameter values are unphysical. Predictions of the NUPSD model are relatively poor but improve with sample thickness and after fiber addition. Full article

(This article belongs to the Special Issue Advance in Eco-Friendly Building Materials and Innovative Structures)

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10 pages, 1568 KB

Open AccessArticle

Sublethal Effects of Hexaflumuron on Adults of Apolygus lucorum (Hemiptera: Miridae)

by Xie Wang, Yu Gao, Yongqiang Liu, Peiling Wang and Yanhui Lu

Toxics 2025, 13(10), 846; https://doi.org/10.3390/toxics13100846 (registering DOI) - 5 Oct 2025

Abstract

Hexaflumuron, a benzoylurea insecticide, exhibits high toxicity against various insect pests. Sublethal doses of hexaflumuron significantly impair nymphal development and subsequent fecundity in the resulting Apolygus lucorum (Meyer-Dür) adults. However, the effects on adults of A. lucorum that are exposed to sublethal concentrations [...] Read more.

Hexaflumuron, a benzoylurea insecticide, exhibits high toxicity against various insect pests. Sublethal doses of hexaflumuron significantly impair nymphal development and subsequent fecundity in the resulting Apolygus lucorum (Meyer-Dür) adults. However, the effects on adults of A. lucorum that are exposed to sublethal concentrations of hexaflumuron are not known. In this study, we evaluated the toxicity of hexaflumuron to 1st- and 3rd-instar nymphs, as well as one-day-old adults, of A. lucorum using an artificial diet with hexaflumuron incorporated. Acute toxicity bioassays determined the median lethal concentration (LC₅₀) for 1st- and 3rd-instar nymphs of A. lucorum to be 0.311 and 0.337 mg/L. In contrast, the LC₅₀ level for one-day-old adults of A. lucorum was 13.193 mg/L. To evaluate the sublethal effects of hexaflumuron on 3rd-instar nymphs, we used LC₁₀, LC₂₀, and LC₅₀ concentrations (0.018, 0.127, and 0.337 mg/L), fed for 48 h. The exposure of 3rd-instar nymphs to the LC₅₀ concentration significantly reduced the fecundity of adults. We also exposed one-day-old adults to LC₁₀, LC₂₀, and LC₅₀ dietary concentrations (0.089, 4.587, and 13.193 mg/L) for 48 h. Exposure to the LC₁₀ and LC₂₀ concentrations caused significant reductions in longevity and fecundity in adult females. The LC₅₀ concentration also caused a significant reduction in the longevity of adult males and the egg hatching rate. An understanding of these sublethal impacts can facilitate the development of effective control strategies targeting A. lucorum. Full article

(This article belongs to the Section Agrochemicals and Food Toxicology)

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20 pages, 1043 KB

Open AccessArticle

Multi-Criteria Decision-Making Algorithm Selection and Adaptation for Performance Improvement of Two Stroke Marine Diesel Engines

by Hla Gharib and György Kovács

J. Mar. Sci. Eng. 2025, 13(10), 1916; https://doi.org/10.3390/jmse13101916 (registering DOI) - 5 Oct 2025

Abstract

Selecting an appropriate Multi-Criteria Decision-Making (MCDM) algorithm for optimizing marine diesel engine operation presents a complex challenge due to the diversity in mathematical formulations, normalization schemes, and trade-off resolutions across methods. This study systematically evaluates fourteen MCDM algorithms, which are grouped into five [...] Read more.

Selecting an appropriate Multi-Criteria Decision-Making (MCDM) algorithm for optimizing marine diesel engine operation presents a complex challenge due to the diversity in mathematical formulations, normalization schemes, and trade-off resolutions across methods. This study systematically evaluates fourteen MCDM algorithms, which are grouped into five primary methodological categories: Scoring-Based, Distance-Based, Pairwise Comparison, Outranking, and Hybrid/Intelligent System-Based methods. The goal is to identify the most suitable algorithm for real-time performance optimization of two stroke marine diesel engines. Using Diesel-RK software, calibrated for marine diesel applications, simulations were performed on a variant of the MAN-B&W-S60-MC-C8-8 engine. A refined five-dimensional parameter space was constructed by systematically varying five key control variables: Start of Injection (SOI), Dwell Time, Fuel Mass Fraction, Fuel Rail Pressure, and Exhaust Valve Timing. A subset of 4454 high-potential alternatives was systematically evaluated according to three equally important criteria: Specific Fuel Consumption (SFC), Nitrogen Oxides (NO_x), and Particulate Matter (PM). The MCDM algorithms were evaluated based on ranking consistency and stability. Among them, Proximity Indexed Value (PIV), Integrated Simple Weighted Sum Product (WISP), and TriMetric Fusion (TMF) emerged as the most stable and consistently aligned with the overall consensus. These methods reliably identified optimal engine control strategies with minimal sensitivity to normalization, making them the most suitable candidates for integration into automated marine engine decision-support systems. The results underscore the importance of algorithm selection and provide a rigorous basis for establishing MCDM in emission-constrained maritime environments. This study is the first comprehensive, simulation-based evaluation of fourteen MCDM algorithms applied specifically to the optimization of two stroke marine diesel engines using Diesel-RK software. Full article

(This article belongs to the Special Issue Marine Equipment Intelligent Fault Diagnosis)

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9 pages, 2139 KB

Open AccessArticle

Thermal Performance of Silicone and Non-Silicone Thermal Pads as Thermal Interface Materials

by Chandan Roy, Landon Yarbrough, Hammad Quddus and Megan Batchelor

J. Exp. Theor. Anal. 2025, 3(4), 30; https://doi.org/10.3390/jeta3040030 (registering DOI) - 5 Oct 2025

Abstract

The research presents the thermal performance comparison of silicone and non-silicone thermal pads using a steady-state thermal interface material (TIM) testing apparatus. The TIM tester follows standard guidelines for testing thermal properties. TIMs are applied between two solid surfaces to improve heat transfer [...] Read more.

The research presents the thermal performance comparison of silicone and non-silicone thermal pads using a steady-state thermal interface material (TIM) testing apparatus. The TIM tester follows standard guidelines for testing thermal properties. TIMs are applied between two solid surfaces to improve heat transfer by eliminating air gaps that naturally occur due to surface roughness and non-flatness. Since TIMs possess significantly higher thermal conductivity than air, they effectively reduce contact resistance at the interface, thereby minimizing the risk of overheating in electronic systems. In this work, the thermal resistances of silicone and non-silicone thermal pads were compared over a pressure range of 10–50 psi. Results indicate that non-silicone pads consistently exhibit lower thermal resistance than their silicone counterparts under identical testing conditions. Full article

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41 pages, 6916 KB

Open AccessReview

Green Photocatalysis: A Comprehensive Review of Plant-Based Materials for Sustainable Water Purification

by Safiya Mallah, Mariam El Mchaouri, Salma El Meziani, Hafida Agnaou, Hajar El Haddaj, Wafaa Boumya, Noureddine Barka and Alaâeddine Elhalil

Reactions 2025, 6(4), 55; https://doi.org/10.3390/reactions6040055 (registering DOI) - 5 Oct 2025

Abstract

Green synthesis represents a sustainable, reliable, and eco-friendly approach for producing various materials and nanomaterials, including metal and metal oxide nanoparticles. This environmentally conscious method has garnered significant attention from materials scientists. In recent years, interest in plant-mediated nanoparticle synthesis has grown markedly, [...] Read more.

Green synthesis represents a sustainable, reliable, and eco-friendly approach for producing various materials and nanomaterials, including metal and metal oxide nanoparticles. This environmentally conscious method has garnered significant attention from materials scientists. In recent years, interest in plant-mediated nanoparticle synthesis has grown markedly, owing to advantages such as enhanced product stability, low synthesis costs, and the use of non-toxic, renewable resources. This review specifically focuses on the green synthesis of metal oxide nanoparticles using plant extracts, highlighting five key oxides: TiO₂, ZnO, WO₃, CuO, and Fe₂O₃, which are prepared through various plant-based methods. The release of toxic effluents like synthetic dyes into the environment poses serious threats to aquatic ecosystems and human health. Therefore, the application of biosynthesized nanoparticles in removing such pollutants from industrial wastewater is critically examined. This paper discusses the synthesis routes, characterization techniques, green synthesis methodologies, and evaluates the photocatalytic performance and dye degradation mechanisms of these plant-derived nanoparticles. Full article

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16 pages, 1409 KB

Open AccessArticle

Evolution of Cultivated Land Quality and Its Impact on Productivity in Three Arid Ecological Zones of Northern China

by Haiyan Wang, Ping Liu, Paul N. Williams, Xiaolan Huo, Minggang Xu and Zhiyong Yu

Agronomy 2025, 15(10), 2346; https://doi.org/10.3390/agronomy15102346 (registering DOI) - 5 Oct 2025

Abstract

Cultivated land quality is critical for soil productivity and scientific fertilization. This study analyzed its evolution and impact on soil productivity across three ecological regions (southern, central, and northern Shanxi) in Shanxi Province, China, from 1998 to 2021). Using data from 8 long-term [...] Read more.

Cultivated land quality is critical for soil productivity and scientific fertilization. This study analyzed its evolution and impact on soil productivity across three ecological regions (southern, central, and northern Shanxi) in Shanxi Province, China, from 1998 to 2021). Using data from 8 long-term experimental sites (1998–2021) and 50 monitoring stations (2016–2021), we employed random forest analysis to evaluate temporal trends in key soil indicators. The results show the following: (1) Northern Shanxi exhibited the greatest improvement in soil fertility, with organic matter increasing by 98.2%, total nitrogen by 57.2%, available phosphorus by 131.7%, and available potassium by 17.1%. (2) Nitrogen fertilizer application increased across all regions, while phosphorus and potassium inputs generally declined. (3) Crop yields improved substantially—southern Shanxi wheat and maize increased by 15.3% and 20.9%, respectively, while central and northern Shanxi maize yields rose by 30.9% and 75.4%. Random forest models identified regional characteristics (40%), nitrogen fertilization (20%), and available phosphorus (18%) as primary influencing factors. Although cultivated land quality improved overall, soil fertility remained medium to low. Region-specific management strategies are recommended: rational nitrogen use in all regions; nitrogen control with phosphorus supplementation in the south; focused improvement of available phosphorus and potassium in the center; and increased organic fertilizer in the north. These measures support scientific nutrient management and sustainable agricultural production. Full article

(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)

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12 pages, 562 KB

Open AccessArticle

Honey Bee Pollination of Camellia oleifera and Mitigation of Toxic Crop Nectar

by Feng Liu, Pingli Dai, Weiliang Zhou, Jinghua Hu, Fang Yuan, Xijian Xu, Wujun Jiang, Qun Luo, Huijun Huang, Ge Zhang and Wuguang Ye

Insects 2025, 16(10), 1028; https://doi.org/10.3390/insects16101028 (registering DOI) - 5 Oct 2025

Abstract

Tea oil tree (Camellia oleifera), a woody oil crop native to Southern China, relies on insect pollination for fruit and seed production. However, its nectar is toxic to honey bees (Apis spp.) due to their inability to digest the oligosaccharide [...] Read more.

Tea oil tree (Camellia oleifera), a woody oil crop native to Southern China, relies on insect pollination for fruit and seed production. However, its nectar is toxic to honey bees (Apis spp.) due to their inability to digest the oligosaccharide present in the nectar. This toxicity raises concerns about the trade-off between the benefits of pollination and the risks posed by exposures to toxic nectar. We aimed to investigate whether tea oil tree yield is enhanced by honey bee pollination, while also examining the impact of nectar toxicity and exploring potential mitigation methods. We evaluated the fruit set, seed yield, and oil quality of the crop with or without eastern honey bee (A. cerana) pollination during 2019–2022. We also characterized nectar oligosaccharide compositions collected from both flowers and bee hives. We administered α-galactosidase (an enzyme to promote oligosaccharide digestion) onto bee larvae fed with crop nectar. We found that A. cerana could significantly enhance fruit set and seed yield. The administration of α-galactosidase could enhance larval survivorship challenged by nectar toxicity. The effectiveness of honey bee pollination can vary between years, with warmer temperatures significantly enhancing honey bee pollination benefits. The results suggest that a decision to use honey bees for pollinating tea oil trees should involve consideration of the impact of local weather conditions, as low temperatures may compromise pollination benefits while increasing risks posed by toxic nectar. The administration of digestive enzymes to honey bees shows potential for mitigating natural toxins in tea oil tree nectar. Full article

(This article belongs to the Section Social Insects and Apiculture)

25 pages, 6539 KB

Open AccessArticle

Inter-Provincial Similarities and Differences in Image Perception of High-Quality Tourism Destinations in China

by Wudong Zhao, Jiaming Liu, He Zhu, Fengjiao Li, Zehui Zhu and Rouyu Zhengchen

Land 2025, 14(10), 1999; https://doi.org/10.3390/land14101999 (registering DOI) - 5 Oct 2025

Abstract

With the rapid development of China’s tourism industry, the homogenization of regional tourism images has become a growing concern. To address this, this study quantifies the similarities and differences in tourism image perception across China’s 31 provinces, focusing on 350 5A-level destinations, analyzing [...] Read more.

With the rapid development of China’s tourism industry, the homogenization of regional tourism images has become a growing concern. To address this, this study quantifies the similarities and differences in tourism image perception across China’s 31 provinces, focusing on 350 5A-level destinations, analyzing 757,046 tourist reviews collected from Ctrip.com in 2024. Using a three-dimensional framework (cognitive, affective, and overall image), we analyze social media data through natural language processing, random forest regression, and social network analysis. Key findings include the following: (1) most comments are positive, with Jiangsu and Chongqing showing high cognitive image similarity but low overall similarity; (2) cognitive image significantly impacts affective image, especially through unique tourism resources; (3) an inter-provincial similarity–difference matrix reveals significant perceptual differences among provinces. This study provides a novel methodological approach for multidimensional image evaluation and offers crucial empirical insights for regional policy-making aimed at optimizing land and tourism resource allocation, balancing regional disparities, and promoting sustainable land use and development across China. Full article

28 pages, 3575 KB

Open AccessArticle

Toward Automatic 3D Model Reconstruction of Building Curtain Walls from UAV Images Based on NeRF and Deep Learning

by Zeyu Li, Qian Wang, Hongzhe Yue and Xiang Nie

Remote Sens. 2025, 17(19), 3368; https://doi.org/10.3390/rs17193368 (registering DOI) - 5 Oct 2025

Abstract

The Automated Building Information Modeling (BIM) reconstruction of existing building curtain walls is crucial for promoting digital Operation and Maintenance (O&M). However, existing 3D reconstruction technologies are mainly designed for general architectural scenes, and there is currently a lack of research specifically focused [...] Read more.

The Automated Building Information Modeling (BIM) reconstruction of existing building curtain walls is crucial for promoting digital Operation and Maintenance (O&M). However, existing 3D reconstruction technologies are mainly designed for general architectural scenes, and there is currently a lack of research specifically focused on the BIM reconstruction of curtain walls. This study proposes a BIM reconstruction method from unmanned aerial vehicle (UAV) images based on neural radiance field (NeRF) and deep learning-based semantic segmentation. The proposed method compensates for the lack of semantic information in traditional NeRF methods and could fill the gap in the automatic reconstruction of semantic models for curtain walls. A comprehensive high-rise building is selected as a case study to validate the proposed method. The results show that the overall accuracy (OA) for semantic segmentation of curtain wall point clouds is 71.8%, and the overall dimensional error of the reconstructed BIM model is less than 0.1m, indicating high modeling accuracy. Additionally, this study compares the proposed method with photogrammetry-based reconstruction and traditional semantic segmentation methods to further validate its effectiveness. Full article

(This article belongs to the Section AI Remote Sensing)

18 pages, 3287 KB

Open AccessArticle

Photodynamic and Sonodynamic Antibacterial Activity of Grape Leaf Extracts

by Tigabu Haddis Ale, Iryna Hovor, Melad Atrash, Olga Semenova, Natalia Zemliana, Natalya M. Kogan, Marina Nisnevitch and Faina Nakonechny

Appl. Sci. 2025, 15(19), 10738; https://doi.org/10.3390/app151910738 (registering DOI) - 5 Oct 2025

Abstract

Food spoilage and contamination are major global challenges, reducing food quality, safety, and availability, causing significant economic losses. This study evaluates the photodynamic and sonodynamic antibacterial activities of grape leaf extracts from Beer and Hanut Orcha varieties. The extracts were tested against Staphylococcus [...] Read more.

Food spoilage and contamination are major global challenges, reducing food quality, safety, and availability, causing significant economic losses. This study evaluates the photodynamic and sonodynamic antibacterial activities of grape leaf extracts from Beer and Hanut Orcha varieties. The extracts were tested against Staphylococcus aureus and Escherichia coli under illumination and ultrasonic activation. The results demonstrated that the photodynamic and sonodynamic treatments significantly enhanced the antibacterial efficacy of the extracts when higher concentrations of the extracts and prolonged exposure led to complete bacterial eradication. Separation of the extracts using RP-18 cartridges (Yicozoo Energy Technology Co., Ltd., Xi’an, China) enabled us to get an active fraction containing components responsible for antimicrobial effects. Singlet oxygen generation measurements confirmed the involvement of reactive oxygen species in bacterial inactivation under illumination. Using HPLC/MS, the active components responsible for the photodynamic properties of the extracts were identified as quercetin 3’-O-glucuronide and pheophorbide a. The findings suggest that these natural extracts, in combination with photodynamic and sonodynamic activation, represent promising alternatives to conventional antibiotics. Further studies should focus on the isolation of active individual compounds, the improvement of treatment parameters, and the investigation of molecular mechanisms to facilitate the development of practical applications in medicine and food preservation. Full article

(This article belongs to the Special Issue Advances in Natural Antimicrobial Compounds: Discovery, Synthesis, Characterization, and Application)

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20 pages, 1972 KB

Open AccessArticle

Few-Shot Identification of Individuals in Sports: The Case of Darts

by Val Vec, Anton Kos, Rongfang Bie, Libin Jiao, Haodi Wang, Zheng Zhang, Sašo Tomažič and Anton Umek

Information 2025, 16(10), 865; https://doi.org/10.3390/info16100865 (registering DOI) - 5 Oct 2025

Abstract

This paper contains an analysis of methods for person classification based on signals from wearable IMU sensors during sports. While this problem has been investigated in prior work, existing approaches have not addressed it within the context of few-shot or minimal-data scenarios. A [...] Read more.

This paper contains an analysis of methods for person classification based on signals from wearable IMU sensors during sports. While this problem has been investigated in prior work, existing approaches have not addressed it within the context of few-shot or minimal-data scenarios. A few-shot scenario is especially useful as the main use case for person identification in sports systems is to be integrated into personalised biofeedback systems in sports. Such systems should provide personalised feedback that helps athletes learn faster. When introducing a new user, it is impractical to expect them to first collect many recordings. We demonstrate that the problem can be solved with over 90% accuracy in both open-set and closed-set scenarios using established methods. However, the challenge arises when applying few-shot methods, which do not require retraining the model to recognise new people. Most few-shot methods perform poorly due to feature extractors that learn dataset-specific representations, limiting their generalizability. To overcome this, we propose a combination of an unsupervised feature extractor and a prototypical network. This approach achieves 91.8% accuracy in the five-shot closed-set setting and 81.5% accuracy in the open-set setting, with a 99.6% rejection rate for unknown athletes. Full article

(This article belongs to the Special Issue Machine Learning and Data Mining for User Classification)

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25 pages, 484 KB

Open AccessSystematic Review

Knowledge Gaps Regarding Alcohol Consumption During Pregnancy and Its Effect on the Fetus: A Systematic Review Focused on Women

by María Botella-López and María-Teresa Cortés-Tomás

J. Clin. Med. 2025, 14(19), 7047; https://doi.org/10.3390/jcm14197047 (registering DOI) - 5 Oct 2025

Abstract

Background/objectives: Alcohol use during pregnancy can result in adverse outcomes for the offspring, including Fetal Alcohol Spectrum Disorders (FASD). Psychosocial and contextual factors may influence gestational alcohol intake and women’s risk perception. This systematic review aimed to assess pregnant women’s and women of [...] Read more.

Background/objectives: Alcohol use during pregnancy can result in adverse outcomes for the offspring, including Fetal Alcohol Spectrum Disorders (FASD). Psychosocial and contextual factors may influence gestational alcohol intake and women’s risk perception. This systematic review aimed to assess pregnant women’s and women of childbearing age’s perceived risk of alcohol use during pregnancy and to evaluate their knowledge of its potential effects on children. Methods: Following the PRISMA guidelines, a systematic search was conducted in Web of Science, PubMed and PsycArticles databases for studies published up to May 2025. Eligible studies examined gestational alcohol use, risk perception, or knowledge of fetal consequences among pregnant women or women of reproductive age. Methodological quality was assessed with the Critical Appraisal of Qualitative Studies tool from the Centre for Evidence-Based Medicine (CEBM). Results: Twenty-nine studies were included. Reported prevalence of alcohol consumption during pregnancy varied considerably across settings. A substantial proportion of women perceived alcohol use during pregnancy as acceptable, often depending on quantity, frequency, type of beverage, or stage of gestation. Knowledge of FASDs was generally limited and frequently restricted to physical malformations. Misconceptions were more common among women with prior alcohol use. The findings highlight persistent gaps in risk perception and knowledge about FASDs. Conclusions: Prevention strategies should not be limited to pregnant women but should also target women of childbearing age, especially those with active drinking patterns, as well as their immediate sociocultural environment. Strengthening professional training, community-based interventions, and consistent public health messaging are essential to reduce gestational alcohol exposure. Full article

(This article belongs to the Section Obstetrics & Gynecology)

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41 pages, 1931 KB

Open AccessReview

The Evolution and Taxonomy of Deep Learning Models for Aircraft Trajectory Prediction: A Review of Performance and Future Directions

by NaeJoung Kwak and ByoungYup Lee

Appl. Sci. 2025, 15(19), 10739; https://doi.org/10.3390/app151910739 (registering DOI) - 5 Oct 2025

Abstract

Accurate aircraft trajectory prediction is fundamental to air traffic management, operational safety, and intelligent aerospace systems. With the growing availability of flight data, deep learning has emerged as a powerful tool for modeling the spatiotemporal complexity of 4D trajectories. This paper presents a [...] Read more.

Accurate aircraft trajectory prediction is fundamental to air traffic management, operational safety, and intelligent aerospace systems. With the growing availability of flight data, deep learning has emerged as a powerful tool for modeling the spatiotemporal complexity of 4D trajectories. This paper presents a comprehensive review of deep learning-based approaches for aircraft trajectory prediction, focusing on their evolution, taxonomy, performance, and future directions. We classify existing models into five groups—RNN-based, attention-based, generative, graph-based, and hybrid and integrated models—and evaluate them using standardized metrics such as the RMSE, MAE, ADE, and FDE. Common datasets, including ADS-B and OpenSky, are summarized, along with the prevailing evaluation metrics. Beyond model comparison, we discuss real-world applications in anomaly detection, decision support, and real-time air traffic management, and highlight ongoing challenges such as data standardization, multimodal integration, uncertainty quantification, and self-supervised learning. This review provides a structured taxonomy and forward-looking perspectives, offering valuable insights for researchers and practitioners working to advance next-generation trajectory prediction technologies. Full article

(This article belongs to the Section Aerospace Science and Engineering)

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22 pages, 445 KB

Open AccessArticle

AI Integration in Fundamental Logistics Components: Advanced Theoretical Framework for Knowledge Process Capabilities and Dynamic Capabilities Hybridization

by Zsolt Toth, Alexandru-Silviu Goga and Mircea Boșcoianu

Logistics 2025, 9(4), 140; https://doi.org/10.3390/logistics9040140 (registering DOI) - 5 Oct 2025

Abstract

Background: Despite significant technological advances, many logistics organizations in emerging markets struggle to realize the transformative potential of artificial intelligence, with reported success rates below 65% and limited theoretical understanding of the organizational capabilities. This study develops and proposes an integrated theoretical [...] Read more.

Background: Despite significant technological advances, many logistics organizations in emerging markets struggle to realize the transformative potential of artificial intelligence, with reported success rates below 65% and limited theoretical understanding of the organizational capabilities. This study develops and proposes an integrated theoretical framework examining how knowledge process capabilities and dynamic capabilities interact to enable successful artificial intelligence adoption in logistics organizations within emerging market contexts. Methods: Through comprehensive literature review and theoretical synthesis, we propose a hybrid capability framework that integrates knowledge-based view perspectives with dynamic capabilities theory. Results: Theoretical analysis suggests that knowledge combination capabilities may be the strongest predictor of artificial intelligence implementation success, while dynamic reconfiguring capabilities could mediate the relationship between artificial intelligence adoption and performance outcomes. The proposed framework indicates that organizations with hybrid capability architecture may achieve superior implementation success compared to traditional approaches. Environmental uncertainty is theorized to strengthen the knowledge process capabilities—artificial intelligence adoption relationship. Conclusions: The framework suggests that successful artificial intelligence integration requires simultaneous development of knowledge-based and adaptive capabilities rather than sequential capability building. The hybrid capability framework provides theoretical guidance for managers in emerging markets, while highlighting the critical role of environmental context in shaping transformation strategies. Full article

(This article belongs to the Topic Sustainable Supply Chain Practices in A Digital Age)

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24 pages, 2679 KB

Open AccessArticle

Schizochytrium Supplementation in Compound Feed: Effects on Growth, Metamorphosis, Intermediate Metabolism, and Intestinal Health of Bullfrogs (Lithobates catesbeianus)

by Hao Ding, Yinglin He, Yujian Song, Jingjing Liang, Woxing Li, Chao Xu and Huirong Yang

Antioxidants 2025, 14(10), 1208; https://doi.org/10.3390/antiox14101208 (registering DOI) - 5 Oct 2025

Abstract

Schizochytrium is often added to feed to enhance the growth and health of farmed animals, yet research on its effects on amphibians remains relatively scarce. Here, this study investigated the effects of dietary Schizochytrium meal on growth, metamorphosis, intermediate metabolism, and intestinal health [...] Read more.

Schizochytrium is often added to feed to enhance the growth and health of farmed animals, yet research on its effects on amphibians remains relatively scarce. Here, this study investigated the effects of dietary Schizochytrium meal on growth, metamorphosis, intermediate metabolism, and intestinal health of bullfrogs. Six compound feeds (S0–S5) containing different gradients of Schizochytrium meal (0.00, 2.00, 5.00, 10.00, 15.00, and 20.00 g/kg diets) were formulated. After 90 days, the S4 group (15.00 g/kg) exhibited significantly superior growth performance, with the weight gain rate (WGR) increasing by up to 23.78% compared to the control (S0). Metamorphosis rate (MR) peaked at 23.33% in the S4 group. The enzyme activities of digestion (amylase (AMS), lipase (LPS), protease), brush border membrane (Na⁺, K⁺-ATPase, alkaline phosphatase (AKP), γ-glutamyl transferase (γ-GT), creatine kinase (CK), and antioxidation (superoxide dismutase (SOD), catalase (CAT)), as well as microvilli length and mucosal epithelial cell height in the intestine were the highest in the S4 group. Intestinal microbial diversity (Ace index) significantly increased by 41.28% in the S4 group, which also promoted beneficial bacteria. Key genes related to the GH-IGF-1 axis, metabolism, and intestinal barrier function were significantly upregulated with increasing Schizochytrium levels up to 15.00 g/kg, whereas pro-inflammatory genes showed an opposite trend. Overall, dietary supplementation with Schizochytrium meal at 15.00 g/kg promotes growth, metamorphosis, and intestinal health in bullfrog tadpoles by modulating the GH-IGF-1 axis, enhancing digestion and absorption, and improving intestinal integrity. Optimal Schizochytrium meal levels were identified as 13.27 g/kg. Full article

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33 pages, 1972 KB

Open AccessReview

Turning Susceptibility into Strength: A New Era of Durable Resistance in Plants Through Genome Editing

by Shallu Thakur, Simranjot Kaur, Sudeep Adhikari, Prerna Sabharwal, Yuqing Fu and Geoffrey Meru

Plants 2025, 14(19), 3080; https://doi.org/10.3390/plants14193080 (registering DOI) - 5 Oct 2025

Abstract

In plants, resistance genes (R) are key players in combatting diseases caused by various phytopathogens. Typically, resistance relies on detecting a single pathogen-derived molecular pattern. However, R-gene-mediated resistance is often race specific, follows the gene-for-gene hypothesis, and can be overcome [...] Read more.

In plants, resistance genes (R) are key players in combatting diseases caused by various phytopathogens. Typically, resistance relies on detecting a single pathogen-derived molecular pattern. However, R-gene-mediated resistance is often race specific, follows the gene-for-gene hypothesis, and can be overcome in field conditions as pathogens evolve. On the contrary, altering plant susceptibility genes (S-genes) facilitates compatibility and results in broad and durable resistance. S-genes are negative regulators present in plants and exploited by pathogens to facilitate their growth and cause infection. Several studies across crop species have reported manipulation of S-genes using genome editing to confer broad spectrum resistance. This review focuses on the plant defense mechanism against biotic stress, R-genes vs. S-genes, different types/classes of S-genes, different tools for S-gene discovery, and the use of gene editing technologies to target S-genes in addition to their applications, challenges, and future perspectives. Full article

(This article belongs to the Special Issue Genome Editing Application on Plant Growth and Development Improvement)

24 pages, 3320 KB

Open AccessArticle

Three-Dimensional Trajectory Tracking for Underactuated Quadrotor-Like Autonomous Underwater Vehicles Subject to Input Saturation

by Chunchun Cheng, Xing Han, Pengfei Xu, Yi Huang, Liwei Kou and Yang Ou

J. Mar. Sci. Eng. 2025, 13(10), 1915; https://doi.org/10.3390/jmse13101915 (registering DOI) - 5 Oct 2025

Abstract

This paper focuses on the design of a three-dimensional trajectory tracking controller for underactuated quadrotor-like autonomous underwater vehicles (QAUVs) subject to actuator saturation. A hand position method with a signum function is proposed to handle the under-actuation of QAUVs, while avoiding trajectory tracking [...] Read more.

This paper focuses on the design of a three-dimensional trajectory tracking controller for underactuated quadrotor-like autonomous underwater vehicles (QAUVs) subject to actuator saturation. A hand position method with a signum function is proposed to handle the under-actuation of QAUVs, while avoiding trajectory tracking in the opposite direction. The dynamic surface control (DSC) technique is integrated to eliminates the complexity explosion problem of standard backstepping. An auxiliary dynamic system is employed to handle input saturation. By using Lyapunov stability theory and phase plane analysis, it is proved that the proposed control law ensures that the QAUVs converge to the desired position with arbitrarily small errors, while guaranteeing the uniform ultimate boundedness of the whole closed-loop system. Comparative simulation results verify the effectiveness of the proposed control law. Full article

(This article belongs to the Special Issue Advanced Research in Guidance, Navigation, and Control for Autonomous Surface Vehicle)

23 pages, 2229 KB

Open AccessArticle

Design and Evaluation Method of a High-Overload Test Device Based on AD-TRIZ

by Peiyi Zhou, Lei Zhao, Weige Liang, Yang Zhao, Chi Li and Fangyin Tan

Sensors 2025, 25(19), 6177; https://doi.org/10.3390/s25196177 (registering DOI) - 5 Oct 2025

Abstract

High-overload testing equipment is a key platform for evaluating mechanical performance under extreme conditions, requiring specialized functional design to meet stringent operational demands. The current design process faces numerous challenges, including overreliance on designers’ experience, incomplete requirement analysis, and insufficient automation, resulting in [...] Read more.

High-overload testing equipment is a key platform for evaluating mechanical performance under extreme conditions, requiring specialized functional design to meet stringent operational demands. The current design process faces numerous challenges, including overreliance on designers’ experience, incomplete requirement analysis, and insufficient automation, resulting in suboptimal solutions. To address these issues, in this study, we propose an integrated method based on axiomatic design (AD) and the Theory of Inventive Problem Solving (TRIZ). This method systematically decomposes technical specifications, maps requirements to a structural framework, and resolves design conflicts using inventive principles. The method employs a comprehensive evaluation framework combining the analytic hierarchy process (AHP) and quality function deployment (QFD) to quantitatively assess candidate designs. It facilitates the development of efficient, standardized high-load testing equipment solutions, enhancing design reliability and innovation capabilities. Full article

(This article belongs to the Section Industrial Sensors)

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26 pages, 2513 KB

Open AccessArticle

High Concentrations of Non-Esterified Fatty Acids During Bovine In Vitro Fertilisation Are Detrimental for Spermatozoa Quality and Pre-Implantation Embryo Development

by Abdullah F. Idriss, Edward J. Okello, Roger G. Sturmey and Miguel A. Velazquez

J. Dev. Biol. 2025, 13(4), 35; https://doi.org/10.3390/jdb13040035 (registering DOI) - 5 Oct 2025

Abstract

High non-esterified fatty acids (NEFAs) during negative energy balance in dairy cattle can impair reproduction. While their effects on oocyte maturation and preimplantation embryo development are known, their impact during fertilisation is largely unexplored. This study examined the effects of high NEFA exposure [...] Read more.

High non-esterified fatty acids (NEFAs) during negative energy balance in dairy cattle can impair reproduction. While their effects on oocyte maturation and preimplantation embryo development are known, their impact during fertilisation is largely unexplored. This study examined the effects of high NEFA exposure exclusively during in vitro fertilisation (IVF). Bovine oocytes were matured in vitro and fertilised under physiological or high NEFA concentrations. High NEFA concentrations decreased fertilisation, cleavage, and blastocyst rates. Reactive oxygen species production in zygotes was not affected, but blastocysts derived from the High-NEFA group had fewer cells. Spermatozoa exposed to high NEFA concentrations exhibited increased plasma membrane and acrosome damage, higher DNA fragmentation, and reduced mitochondrial membrane potential. The expression of H3K27me3, a repressive histone mark normally erased from fertilisation to embryonic genome activation, was higher in 2-cell than in 4-cell embryos on day 2 after IVF, but only in the High-NEFA group. This delayed H3K27me3 loss, along with increased DNA damage, could partially explain the reduced blastocyst formation observed. In conclusion, high NEFA concentrations can impair pre-implantation embryo development during zygote formation, potentially via effects on both the oocyte and spermatozoon. The latter warrants further investigation using an intracytoplasmic sperm injection model. Full article

(This article belongs to the Special Issue Embryonic Development and Regenerative Medicine)

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21 pages, 2548 KB

Open AccessArticle

Heat Stress Tolerance and Photosynthetic Responses to Transient Light Intensities of Greek Grapevine Cultivars

by Xenophon Venios, Georgios Banilas, Evangelos Beris, Katerina Biniari and Elias Korkas

Agronomy 2025, 15(10), 2344; https://doi.org/10.3390/agronomy15102344 (registering DOI) - 5 Oct 2025

Abstract

This study investigates the effects of rising temperatures on photosynthetic efficiency and stress tolerance in major Greek grapevine cultivars by using Sauvignon Blanc and Merlot as references. Muscat and Assyrtiko displayed the most heat-tolerant photosynthetic apparatus among the white cultivars, while Mavrodafni was [...] Read more.

This study investigates the effects of rising temperatures on photosynthetic efficiency and stress tolerance in major Greek grapevine cultivars by using Sauvignon Blanc and Merlot as references. Muscat and Assyrtiko displayed the most heat-tolerant photosynthetic apparatus among the white cultivars, while Mavrodafni was the most heat-tolerant among the red ones, by effectively managing excess light energy. Sauvignon Blanc, although exhibiting heat susceptibility, maintained high photosystem II (PSII) functionality under heat stress by activating photoprotective mechanisms. Savvatiano and Agiorgitiko were more vulnerable to photo-oxidative stress above 35 °C, while Agiorgitiko maintained a functional photosynthetic apparatus, even at 40 °C, by shifting to a more photoprotective strategy. In contrast, Merlot, despite its resistance to photo-oxidative stress, lacked photoprotective investment, resulting in suppressed PSII under heat stress. Moschofilero was the most susceptible cultivar to photo-oxidative stress. Leaf morphological traits also contributed to heat stress tolerance, with smaller, thicker leaves facilitating thermoregulation. The present results provide important insights into specific responses to heat stress of major Greek grapevine cultivars. This knowledge may aid in selecting heat-tolerant genotypes and optimizing vineyard site selection, thereby enhancing the sustainability and climate resilience of viticulture. Full article

(This article belongs to the Special Issue Bud Fruitfulness in Grapes: Metabolism Response to Environmental Conditions)

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50 pages, 2352 KB

Open AccessReview

An Overview: Highly Efficient Inhibitors of Carbon Steel

by Giselle Gómez-Sánchez, Víctor Díaz-Jiménez, Paulina Arellanes-Lozada, Irina V. Lijanova, Janette Arriola-Morales, Maribel Castillo-Morales, Natalya Victorovna Likhanova and Octavio Olivares-Xometl

Molecules 2025, 30(19), 3994; https://doi.org/10.3390/molecules30193994 (registering DOI) - 5 Oct 2025

Abstract

The synthesis of new corrosion inhibitors (CIs) has been significantly encouraged in recent years because of the important economic losses that the corrosion of steel alloys exposed to corrosive aqueous media cause. In the oil industry, a common and unavoidable practice is the [...] Read more.

The synthesis of new corrosion inhibitors (CIs) has been significantly encouraged in recent years because of the important economic losses that the corrosion of steel alloys exposed to corrosive aqueous media cause. In the oil industry, a common and unavoidable practice is the use of CIs whose chemical configuration has to be conceived in such a way that these compounds can withstand specific operation conditions at low concentrations (parts per million). Due to the fact that current information on CIs is very vast, the present review aimed to narrow it down by analyzing the contributions to the field of corrosion control published in the last five years featuring CIs with inhibition efficiency (IE) ≥ 90% at concentrations below 100 ppm in HCl, H₂SO₄ and H₂S media and mainly evaluated by weight loss and electrochemical techniques. Full article

(This article belongs to the Special Issue Recent Experimental and Theoretical Advances of Corrosion Protection)

25 pages, 2295 KB

Open AccessArticle

Vehicle Wind Noise Prediction Using Auto-Encoder-Based Point Cloud Compression and GWO-ResNet

by Yan Ma, Jifeng Wang, Zuofeng Pan, Hongwei Yi, Shixu Jia and Haibo Huang

Machines 2025, 13(10), 920; https://doi.org/10.3390/machines13100920 (registering DOI) - 5 Oct 2025

Abstract

In response to the inability to quickly assess wind noise performance during the early stages of automotive styling design, this paper proposes a method for predicting interior wind noise by integrating automotive point cloud models with the Gray Wolf Optimization Residual Network model [...] Read more.

In response to the inability to quickly assess wind noise performance during the early stages of automotive styling design, this paper proposes a method for predicting interior wind noise by integrating automotive point cloud models with the Gray Wolf Optimization Residual Network model (GWO-ResNet). Based on wind tunnel test data under typical operating conditions, the point cloud model of the test vehicle is compressed using an auto-encoder and used as input features to construct a nonlinear mapping model between the whole vehicle point cloud and the wind noise level at the driver’s left ear. Through adaptive optimization of key hyperparameters of the ResNet model using the gray wolf optimization algorithm, the accuracy and generalization of the prediction model are improved. The prediction results on the test set indicate that the proposed GWO-ResNet model achieves prediction results that are consistent with the actual measured values for the test samples, thereby validating the effectiveness of the proposed method. A comparative analysis with traditional ResNet models, GWO-LSTM models, and LSTM models revealed that the GWO-ResNet model achieved Mean Absolute Percentage Error (MAPE) and mean squared error (MSE) of 9.72% and 20.96, and 9.88% and 19.69, respectively, on the sedan and SUV test sets, significantly outperforming the other comparison models. The prediction results on the independent validation set also demonstrate good generalization ability and stability (MAPE of 10.14% and 10.15%, MSE of 23.97 and 29.15), further proving the reliability of this model in practical applications. The research results provide an efficient and feasible technical approach for the rapid evaluation of wind noise performance in vehicles and provide a reference for wind noise control in the early design stage of vehicles. At the same time, due to the limitations of the current test data, it is impossible to predict the wind noise during the actual driving of the vehicle. Subsequently, the wind noise during actual driving can be predicted by the test data of multiple working conditions. Full article

(This article belongs to the Section Vehicle Engineering)

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20 pages, 1247 KB

Open AccessArticle

Effects and Mechanisms of Granulated Compost on Soil Nitrogen Supply and Crop Uptake: Preliminary Evidence from a ¹⁵N Tracing Field Experiment in Tobacco

by Chen Wang, Fenglei Guo, Shuaipeng Wu, Xinjing Fu, Xiaorong Zhao and Guitong Li

Agronomy 2025, 15(10), 2345; https://doi.org/10.3390/agronomy15102345 (registering DOI) - 5 Oct 2025

Abstract

Organic fertilizer granulation represents a promising strategy for modifying nitrogen (N) release from compost in soil. Nevertheless, there is a lack of large-scale field trials exploring its impact on tobacco production and soil N supply. This research conducted a preliminary study by employing [...] Read more.

Organic fertilizer granulation represents a promising strategy for modifying nitrogen (N) release from compost in soil. Nevertheless, there is a lack of large-scale field trials exploring its impact on tobacco production and soil N supply. This research conducted a preliminary study by employing ¹⁵N tracing technology to investigate the effects of granular compost on soil N transformation and supply; on the yield and quality of tobacco leaves; and on the distribution of granular compost-derived N among the different soil N pools and tobacco plant organs. The results revealed that the 2 cm diameter granule organic fertilizer treatment (G2) significantly increased tobacco leaf yield by 15% compared to conventional fertilization (CK). However, the 4 cm diameter granule organic fertilizer (G4) treatment resulted in a reduction in leaf yield. Notably, the quality of tobacco leaves remained unaffected compared to conventional fertilization treatment; the N content ranged from 15 to 25 g kg⁻¹, which was within the high-quality range. The results also indicated that direct N supply to the tobacco from granular compost was limited. The G2 and G4 treatments provided 2.8% and 2.2% of the N in the fertilizer to the tobacco plants, respectively, with more than 93% of the N in the tobacco plants derived from the soil. Therefore, both of these particle sizes of granular compost facilitated the absorption of soil N by tobacco plants. At the end of the growth period, the N content derived from the G4 granular fertilizer in the soil was significantly higher than that from the G2 fertilizer. This may be due to the slower nutrient release mechanism and longer release period of the G4 fertilizer compared to G2. Our results suggested that granulated compost fertilizer (both G2 and G4) has the potential to enhance soil N supply. Despite the elevated nitrogen levels observed in leaves treated with 4 cm diameter granular fertilizer, an integrated assessment of yield performance demonstrates that the 2 cm diameter granular organic fertilizer delivers superior economic benefits. However, G2 may also have a higher potential for N loss. Further investigations under field conditions are necessary to validate the applicability of granular fertilizer of different particle sizes and its specific mechanisms of impact. Full article

(This article belongs to the Section Soil and Plant Nutrition)

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