Applied Sciences

25 pages, 6409 KiB

Open AccessArticle

Dynamic Response Mitigation of Offshore Jacket Platform Using Tuned Mass Damper Under Misaligned Typhoon and Typhoon Wave

by Kaien Jiang, Guangyi Zhu, Guoer Lv, Huafeng Yu, Lizhong Wang, Mingfeng Huang and Lilin Wang

Appl. Sci. 2025, 15(13), 7321; https://doi.org/10.3390/app15137321 (registering DOI) - 29 Jun 2025

Abstract

This study addresses the dynamic response control of deep-water jacket offshore platforms under typhoon and misaligned wave loads by proposing a Tuned Mass Damper (TMD)-based vibration suppression strategy. Typhoon loading is predicted using the Weather Research and Forecasting (WRF) model to simulate maximum [...] Read more.

This study addresses the dynamic response control of deep-water jacket offshore platforms under typhoon and misaligned wave loads by proposing a Tuned Mass Damper (TMD)-based vibration suppression strategy. Typhoon loading is predicted using the Weather Research and Forecasting (WRF) model to simulate maximum wind speed and direction, a customized exponential wind profile fitted to WRF results, and a spectral model calibrated with field-measured data. Correspondingly, typhoon wave loading is calculated using stochastic wave theory with the Joint North Sea Wave Project (JONSWAP) spectrum. A rigorous Finite Element Model (FEM) incorporating soil–structure interaction (SSI) and water-pile interaction is implemented in the Opensees platform. The SSI is modeled using nonlinear Beam on Nonlinear Winkler Foundation (BNWF) elements (PySimple1, TzSimple1, QzSimple1). Numerical simulations demonstrate that the TMD effectively mitigates dynamic platform responses under aligned typhoon and wave conditions. Specifically, the maximum deck acceleration in the X-direction is reduced by 26.19% and 31.58% under these aligned loads, with a 17.7% peak attenuation in base shear. For misaligned conditions, the TMD exhibits pronounced control over displacements in both X- and Y-directions, achieving reductions of up to 29.4%. Sensitivity studies indicated that the TMD’s effectiveness is more significantly impacted by stiffness detuning than mass detuning. It should be emphasized that the effectiveness verification of linear TMD is limited to the load levels within the design limits; for the load conditions that trigger extreme structural nonlinearity, its performance remains to be studied. This research provides theoretical and practical references for multi-directional coupled vibration control of deep-water jacket platforms in extreme marine environments. Full article

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20 pages, 3209 KiB

Open AccessArticle

Thermostable D-Allulose 3-Epimerase for Long-Term Food-Compatible Continuous Production Systems

by Jiawei Cui, Yan Li and Ming Yan

Appl. Sci. 2025, 15(13), 7318; https://doi.org/10.3390/app15137318 (registering DOI) - 29 Jun 2025

Abstract

D-allulose is a rare sugar with promising applications in food and health industries, owing to its low caloric value and multiple health benefits. In this study, we systematically investigated a thermostable D-allulose 3-epimerase (TcDAEase) from Thermogemmatispora carboxidivorans for food-compatible continuous production. The enzyme [...] Read more.

D-allulose is a rare sugar with promising applications in food and health industries, owing to its low caloric value and multiple health benefits. In this study, we systematically investigated a thermostable D-allulose 3-epimerase (TcDAEase) from Thermogemmatispora carboxidivorans for food-compatible continuous production. The enzyme exhibited remarkable thermostability, with over 70% activity retained at 80 °C, and showed broad pH tolerance across the range of 8.0 to 13.0. Notably, TcDAEase exhibited high catalytic activity toward D-allulose and D-fructose even without the addition of metal ions. Moreover, food-grade Mg²⁺ was identified as enhancing enzyme activity by 14.3%, thus ensuring compliance with Generally Recognized as Safe (GRAS) standards for food applications. To improve industrial applicability, the enzyme was immobilized using a chitosan-diatomaceous earth (DE) matrix via three-step adsorption–crosslinking–embedding strategy. The immobilized TcDAEase achieved 48.7% ± 2.4% activity recovery and retained 90.3% ± 1.5% activity over seven reaction cycles. Furthermore, continuous production of D-allulose was realized in a packed-bed reactor, operating stably at 60 °C, pH 8.0 and 5 mM Mg²⁺ for 150 days, producing 756 kg of D-allulose with a conversion yield exceeding 89.7% of the theoretical maximum. Overall, this study provides a feasible strategy for the continuous and efficient production of high-value-added D-allulose in the food industry. Full article

(This article belongs to the Special Issue The Development of Novel Functional Foods: Trends, Prospectives, and Possible Bioactivity)

27 pages, 2947 KiB

Open AccessArticle

Multicomponent Adsorption of Paracetamol and Metronidazole by Batch and Fixed-Bed Column Processes: Application of Monte Carlo Bayesian Modeling

by Letícia Reggiane de Carvalho Costa, Júlia Toffoli de Oliveira, Fayola Silva Silveira and Liliana Amaral Féris

Appl. Sci. 2025, 15(13), 7316; https://doi.org/10.3390/app15137316 (registering DOI) - 29 Jun 2025

Abstract

This study addresses the growing concern of water contamination by pharmaceutical residues, focusing on the simultaneous removal of paracetamol (PAR) and metronidazole (MTZ). Batch and fixed-bed column adsorption processes were evaluated using activated carbon. In the batch experiments, the effects of pH (3, [...] Read more.

This study addresses the growing concern of water contamination by pharmaceutical residues, focusing on the simultaneous removal of paracetamol (PAR) and metronidazole (MTZ). Batch and fixed-bed column adsorption processes were evaluated using activated carbon. In the batch experiments, the effects of pH (3, 7, and 11), adsorbent mass (0.5, 1.25, and 2 g), and contact time (10, 30, and 60 min) were evaluated, while the fixed-bed column was optimized considering initial pollutants concentration (30, 40, and 50 mg/L), adsorbent mass (0.5, 0.75, and 1 g), and flow rate (5, 10, and 15 mL/min) to improve the maximum adsorption capacity of the bed for both pollutants (q_maxPAR and q_maxMTZ). Parameter estimation and model selection were performed using a Bayesian Monte Carlo approach. Optimal conditions in the batch system (pH = 7, W = 2 g, and time = 60 min) led to high removal efficiencies for both compounds (≥98%), while in the column system, the initial pollutant concentration was the most significant parameter to improve the maximum adsorption capacity of the bed, resulting in values equal to 49.5 and 43.6 mg/g for PAR and MTZ, respectively. The multicomponent Gompertz model showed the best performance for representing the breakthrough curves and is suitable for scale-up (R² ≥ 0.75). These findings highlight the complexity of multicomponent adsorption and provide insights, contributing to the development of more efficient and sustainable water treatment technologies for pharmaceutical residues. Full article

(This article belongs to the Special Issue Application of Green Chemistry in Environmental Engineering)

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20 pages, 12338 KiB

Open AccessArticle

Study on the Evolution Characteristics of Surrounding Rock and Differentiated Support Design of Dynamic Pressure Roadway with Double-Roadway Arrangement

by Linjun Peng, Shixuan Wang, Wei Zhang, Weidong Liu and Dazhi Hui

Appl. Sci. 2025, 15(13), 7315; https://doi.org/10.3390/app15137315 (registering DOI) - 29 Jun 2025

Abstract

To elucidate evolutionary characteristics of the surrounding rock failure mechanism in a double-roadway layout, this work is grounded on in the research context of the Jinjitan Coal Mine, focusing on the deformation and failure mechanisms of double roadways. This paper addresses the issue [...] Read more.

To elucidate evolutionary characteristics of the surrounding rock failure mechanism in a double-roadway layout, this work is grounded on in the research context of the Jinjitan Coal Mine, focusing on the deformation and failure mechanisms of double roadways. This paper addresses the issue of resource wastage resulting from the excessive dimensions of coal pillars in prior periods by employing a research methodology that integrates theoretical analysis, numerical simulation, and field monitoring to systematically examine the movement characteristics of overlying rock in the working face. On that basis, the size of coal pillar is optimized. The advance’s stress transfer law and deformation distribution characteristics of the return air roadway and transport roadway are studied. The cause of the asymmetric deformation of roadway retention is explained. A differentiated design is conducted on the support parameters of double-roadway bolts and cables under strong dynamic pressure conditions. The study indicates that a 16 m coal pillar results in an 8 m elastic zone at its center, balancing stability with optimal resource extraction. In the basic top-sloping double-block conjugate masonry beam structure, the differing stress levels between the top working face’s transport roadway and the lower working face’s return air roadway are primarily due to the varied placements of key blocks. In the return air roadway, floor heave deformation is managed using locking anchor rods, while roof subsidence is controlled with a constant group of large deformation anchor cables. The displacement of surrounding rock increases under the influence of both leading and lagging pressures from the previous working face, although the change is minimal. There is a significant correlation between roadway deformation and support parameters and coal pillar size. With a 16 m coal pillar, differential support of the double roadway lowers the return air roadway deformation by 30%, which improves the mining rate and effectively controls the deformation of the roadway. Full article

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18 pages, 4250 KiB

Open AccessArticle

A Novel Carbon Fiber Composite Material for the Simulation of Damage Evolution in Thick Aquifers

by Bozhi Zhao, Xing Gao, Weibing Zhu, Jiaxing Ding and Pengjun Gao

Appl. Sci. 2025, 15(13), 7314; https://doi.org/10.3390/app15137314 (registering DOI) - 29 Jun 2025

Abstract

Simulation experiments are a crucial method for investigating overburden failure, strata movement, and strata control during coal mining. However, traditional similar materials struggle to effectively monitor internal damage, fracturing, and dynamic development processes within the strata during mining. To address this issue, carbon [...] Read more.

Simulation experiments are a crucial method for investigating overburden failure, strata movement, and strata control during coal mining. However, traditional similar materials struggle to effectively monitor internal damage, fracturing, and dynamic development processes within the strata during mining. To address this issue, carbon fibers were introduced into the field of similar material simulation experiments for mining. Leveraging the excellent conductivity and the sensitive feedback of resistivity changes in response to damage of this composite material enabled real-time monitoring of internal damage and fracture patterns within the mining strata during similar simulation experiments, leading to the development of a carbon fiber similar simulation composite material with damage self-sensing properties. This study found that as the carbon fiber content increased, the evolution patterns of the electrical resistance change rate and the damage coefficient of the similar material tended to coincide. When the carbon fiber content in the similar material exceeded 2%, the electrical resistance change rate and the damage coefficient consistently exhibited synchronized growth with identical increments. A similar simulation experiment revealed that after the completion of workface mining, the thick sandstone aquifer did not develop significant cracks and remained stable. In the early stages of mining, damage rapidly accumulated at the bottom of the thick aquifer, approaching the failure threshold. In the middle layers, a step-like increase in the damage coefficient occurred after mining reached a certain width, while the top region was less affected by mining activities, resulting in less significant damage development. The research findings offer new experimental insights into rock layer movement and control studies, providing theoretical guidance for the prediction, early warning, and prevention of dynamic disasters in mines with thick key layers. Full article

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18 pages, 6040 KiB

Open AccessArticle

Monitoring and Evaluating the Damage to Shear Connectors in Steel–Concrete Composite Beams by Curvature-Based Indicators Through Vibration Tests

by Haobo Zhang, Fangzhu Du and Haoran Jin

Appl. Sci. 2025, 15(13), 7313; https://doi.org/10.3390/app15137313 (registering DOI) - 29 Jun 2025

Abstract

In order to assess the workability of shearing connectors of steel–concrete composite beams (SCCBs), this manuscript proposed a novel solid-slipping nonlinear finite element (FE) model, which is independent of stiffness-slip function for simply supported SCCBs. The modal curvature difference and the modal flexibility [...] Read more.

In order to assess the workability of shearing connectors of steel–concrete composite beams (SCCBs), this manuscript proposed a novel solid-slipping nonlinear finite element (FE) model, which is independent of stiffness-slip function for simply supported SCCBs. The modal curvature difference and the modal flexibility difference curvature were prompted, which are able to evaluate both sole-damage and multi-damage. It was concluded that the proposed indicators can locate the damaged shear studs and quantify the damage degree correctly, having a maximum error of less than 1%. Robust analysis proved that the proposed indicators are still highly precise when the noise level is up to 8%, which is highly significant for further practical application. Full article

(This article belongs to the Section Civil Engineering)

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16 pages, 2807 KiB

Open AccessArticle

Evaluation of Grouting Effectiveness on Cracks in Cement-Stabilized Macadam Layer Based on Pavement Mechanical Response Using FBG Sensors

by Min Zhang, Hongbin Hu, Cheng Ren, Zekun Shang and Xianyong Ma

Appl. Sci. 2025, 15(13), 7312; https://doi.org/10.3390/app15137312 (registering DOI) - 28 Jun 2025

Abstract

Cracking in semi-rigid cement-stabilized macadam bases constitutes a prevalent distress in asphalt pavements. While extensive research exists on grouting materials for crack rehabilitation, quantitative assessment methodologies for treatment efficacy remain underdeveloped. This study proposes a novel evaluation framework integrating fiber Bragg grating (FBG) [...] Read more.

Cracking in semi-rigid cement-stabilized macadam bases constitutes a prevalent distress in asphalt pavements. While extensive research exists on grouting materials for crack rehabilitation, quantitative assessment methodologies for treatment efficacy remain underdeveloped. This study proposes a novel evaluation framework integrating fiber Bragg grating (FBG) technology to monitor pavement mechanical responses under traffic loads. Conducted on the South China Expressway project, the methodology encompassed (1) a method for back-calculating the modulus of the asphalt layer based on Hooke’s Law; (2) a sensor layout plan with FBG sensors buried at the top of the pavement base in seven sections; (3) statistical analysis of the asphalt modulus based on the mechanical response when a large number of vehicles passed; and (4) comparative analysis of modulus variations to establish quantitative performance metrics. The results demonstrate that high-strength geopolymer materials significantly enhanced the elastic modulus of the asphalt concrete layer, achieving 34% improvement without a waterproofing agent versus 19% with a waterproofing agent. Polymer-treated sections exhibited a mean elastic modulus of 676.15 MPa, substantially exceeding untreated pavement performance. Low-strength geopolymers showed marginal improvements. The modulus hierarchy was as follows: high-strength geopolymer (without waterproofing agent) > polymer > high-strength geopolymer (with waterproofing agent) > low-strength geopolymer (without waterproofing agent) > low-strength geopolymer (with waterproofing agent) > intact pavement > untreated pavement. These findings demonstrate that a high-strength geopolymer without a waterproofing agent and high-polymer materials constitute optimal grouting materials for this project. The developed methodology provides critical insights for grout material selection, construction process optimization, and post-treatment maintenance strategies, advancing quality control protocols in pavement rehabilitation engineering. Full article

(This article belongs to the Special Issue Recent Advances in Pavement Monitoring)

13 pages, 1009 KiB

Open AccessArticle

The FIFA 11+ Program Significantly Enhances Physical Performance and Dynamic Balance in Male Handball Players

by Ridha Aouadi, Mohamed Amine Ltifi, Mohamed Riadh Bedoui, Batool Mohammed Foqha and Nicola Luigi Bragazzi

Appl. Sci. 2025, 15(13), 7311; https://doi.org/10.3390/app15137311 (registering DOI) - 28 Jun 2025

Abstract

Injury prevention and performance enhancement are key objectives in sports training. The FIFA 11+ program, originally developed to reduce injury risks, has gained attention for its potential benefits in improving physical performance and dynamic balance. This study aimed to examine the impact of [...] Read more.

Injury prevention and performance enhancement are key objectives in sports training. The FIFA 11+ program, originally developed to reduce injury risks, has gained attention for its potential benefits in improving physical performance and dynamic balance. This study aimed to examine the impact of an 8-week FIFA 11+ training program on vertical jump, Illinois Agility, and Y-Balance Test (YBT) performances in adult male handball players. Twenty-five players from two senior national male handball teams were recruited and randomly assigned to an experimental group (n = 13) or a control group (n = 11). Assessments were conducted before and after the intervention, including the countermovement jump (CMJ), the Illinois Agility Test (IAT), and the Y-Balance Test (YBT), which measured anterior (AT), posteromedial (PM), and posterolateral (PL) reach directions as well as a composite score (CS). The FIFA 11+ group showed significant improvements after the eight-week program, with increased CMJ (p = 0.013) and reduced IAT time (p < 0.001). Dynamic balance, as measured by the YBT, improved significantly in both lower limbs (p = 0.022–0.001), with enhanced postural stability across multiple directions (F = 6.92–20.23, p = 0.022–0.001, ηp² = 0.366–0.628, power = 0.68–0.98). In contrast, the control group exhibited minimal or no significant changes. While the results suggest that the FIFA 11+ program can improve specific performance outcomes in this population, the relatively small sample size and focus on a single sport and age group warrant caution in generalizing these findings. Further studies involving larger and more diverse cohorts are recommended. Full article

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13 pages, 479 KiB

Open AccessArticle

Effect of Planting Portulaca oleracea L. on Improvement of Salt-Affected Soils

by Jing Dong, Jincheng Xing, Tingting He, Sunan He, Chong Liu, Xiaomei Zhu, Guoli Sun, Kai Wang, Lizhou Hong and Zhenhua Zhang

Appl. Sci. 2025, 15(13), 7310; https://doi.org/10.3390/app15137310 (registering DOI) - 28 Jun 2025

Abstract

Saline–alkali land is a critical factor limiting agricultural production and ecological restoration. Utilizing salt-tolerant plants for bioremediation represents an environmentally friendly and sustainable approach to soil management. This study employed the highly salt-tolerant crop Portulaca oleracea L. cv. “Su Ma Chi Xian 3” [...] Read more.

Saline–alkali land is a critical factor limiting agricultural production and ecological restoration. Utilizing salt-tolerant plants for bioremediation represents an environmentally friendly and sustainable approach to soil management. This study employed the highly salt-tolerant crop Portulaca oleracea L. cv. “Su Ma Chi Xian 3” as the test material. A plot experiment was established in coastal saline soils with planting P. a- oleracea (P) and no planting (CK) under three blocks with the different salt levels (S1: 2.16 g/kg; S2: 4.08 g/kg; S3: 5.43 g/kg) to systematically evaluate its salt accumulation capacity and effects on soil physicochemical properties. The results demonstrated that P. oleracea exhibited adaptability across all three salinity levels, with aboveground biomass following the trend PS2>PS3 >PS1. The ash salt contents removed through harvesting were 1.29, 2.03, and 1.74 t/ha, respectively, in PS1, PS2, and PS3. Compared to no planting, a significant reduction in bulk density was observed in the 0–10 and 10–20 cm soil layers (p < 0.05). A significant increase in porosity by 9.72%, 16.29%, and 12.61% was found under PS1, PS2, and PS3, respectively, in the 0–10 cm soil layer. Soil salinity decreased by 34.20%, 50.23%, and 48.26%, in the 0–10 cm soil layer and by 14.43%, 32.30%, and 26.42% in the 10–20 cm soil layer under PS1, PS2, and PS3, respectively. The pH exhibited a significant reduction under the planting treatment in the 0–10 cm layer. A significant increase in organic matter content by 13.70%, 12.44%, and 13.55%, under PS1, PS2, and PS3, respectively, was observed in the 0–10 cm soil layer. The activities of invertase and urease were significantly enhanced in the 0–10 and 10–20 cm soil layers, and the activity of alkaline phosphatase also exhibited a significant increase in the 0–10 cm layer under the planting treatment. This study indicated that cultivating P. oleracea could effectively facilitate the improvement of coastal saline soils by optimizing soil structure, reducing salinity, increasing organic matter, and activating the soil enzyme system, thereby providing theoretical and technical foundations for ecological restoration and sustainable agricultural utilization of saline–alkali lands. Full article

(This article belongs to the Special Issue Plant Management and Soil Improvement in Specialty Crop Production)

23 pages, 11585 KiB

Open AccessArticle

Dynamic Stall Mechanisms of Pitching Airfoil: IDDES Study Across Different Mach Numbers

by Simeng Jing, Fan Lu, Li Ma, Qijun Zhao and Guoqing Zhao

Appl. Sci. 2025, 15(13), 7309; https://doi.org/10.3390/app15137309 (registering DOI) - 28 Jun 2025

Abstract

This study investigates dynamic stall mechanisms of a pitching NACA 0012 airfoil through high-fidelity computational fluid dynamics (CFD) simulations. The improved delayed detached eddy simulation (IDDES) method based on a sliding mesh system is constructed and validated against experimental airload measurements. The results [...] Read more.

This study investigates dynamic stall mechanisms of a pitching NACA 0012 airfoil through high-fidelity computational fluid dynamics (CFD) simulations. The improved delayed detached eddy simulation (IDDES) method based on a sliding mesh system is constructed and validated against experimental airload measurements. The results demonstrate a good agreement and the capability to capture three-dimensional flow structures. Comparative analyses at two Mach numbers of 0.283 and 0.5 reveal distinct stall physics. At the Mach number of 0.283, a notable 9.7° delay is observed between the static and dynamic stall. The airfoil experiences a leading-edge stall dominated by a strong adverse pressure gradient and generates rapid airload variations. In addition, trailing-edge vortex (TEV) and secondary leading-edge vortices (LEVs) induce distinct airload fluctuations. After the shedding of primary vortices, secondary vortices develop. In contrast, the airfoil at the Mach number of 0.5 presents a reduced stall delay of 6.4° and a shock-induced dynamic stall characterized by dispersed, smaller vortices, which results in mild airload variations during stall. Aerodynamic damping analysis identifies stall delay as a primary contributor to negative damping. Enhanced pitching stability at the higher Mach number correlates with reduced stall delay and different LEV development characteristics. Results across varying reduced frequencies show that increasing reduced frequency delays the aerodynamic response and stall onset. At Ma = 0.283, this increasement promotes a divergent tendency in pitching motion, whereas at Ma = 0.5, it induces greater oscillatory stability attributed to distinct stall characteristics. Full article

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35 pages, 3681 KiB

Open AccessArticle

Analytical and Graphical Profiling of Thread-Milling Cutters for Forming Internal Threads

by Nikolay Stankov and Aleksandar Ivanov

Appl. Sci. 2025, 15(13), 7308; https://doi.org/10.3390/app15137308 (registering DOI) - 28 Jun 2025

Abstract

Accurate profiling of thread-milling cutters is one of the main prerequisites of high-precision internal thread production. Despite the accuracy of analytical methods, their complexity in most instances makes practical application an issue. The current research addresses a graphical profiling method, the Tangent Circles [...] Read more.

Accurate profiling of thread-milling cutters is one of the main prerequisites of high-precision internal thread production. Despite the accuracy of analytical methods, their complexity in most instances makes practical application an issue. The current research addresses a graphical profiling method, the Tangent Circles Method, introduced by the authors for the facilitation of thread-milling tool geometric design. Several thread-milling cutters were designed employing this method, and their working surface profiles were compared with those obtained analytically. The comparison showed a good match, with profile deviations within acceptable manufacturing limits. CAD-based simulations also demonstrated that rake angle and relief height parameters significantly influence the resulting tool geometry. The results validate the Tangent Circles Method as a mathematically sound and industrially viable tool-profiling method for industry use. Its easy application and precision make it a reliable choice over analytical methods in internal thread-milling cutters’ industrial design. Full article

(This article belongs to the Special Issue Computer-Aided Design in Mechanical Engineering)

26 pages, 1766 KiB

Open AccessReview

Seedling Selection of the Large Yellow Croaker (Larimichthys crocea) for Sustainable Aquaculture: A Review

by Xinran Han, Shengmao Zhang, Yabing Wang, Hui Fang, Shiming Peng, Shenglong Yang and Zuli Wu

Appl. Sci. 2025, 15(13), 7307; https://doi.org/10.3390/app15137307 (registering DOI) - 28 Jun 2025

Abstract

The large yellow croaker (Larimichthys crocea) is one of China’s most economically important marine fish species, with its cage culture production leading the nation for many years. However, the rapid expansion of aquaculture has brought challenges such as germplasm degradation, reduced [...] Read more.

The large yellow croaker (Larimichthys crocea) is one of China’s most economically important marine fish species, with its cage culture production leading the nation for many years. However, the rapid expansion of aquaculture has brought challenges such as germplasm degradation, reduced disease resistance, inconsistent product quality, and low adoption of improved strains, which have hindered the sustainable development of the industry. The primary objective of this review is to summarize the current practices and challenges in seedling selection for L. crocea. The secondary objectives include discussing the influence of genetic, physiological, and environmental factors on growth performance and proposing future research directions for sustainable breeding programs. This review covers key topics including morphological screening, growth performance evaluation, genetic diversity conservation, disease resistance improvement, and adaptation to environmental stress. It also explores the application of modern technologies such as marker-assisted selection, intelligent monitoring, environmental control, precision feeding, and disease prevention. Moreover, it highlights core issues in current breeding practices, such as over-reliance on single-trait selection and insufficient integration of environmental adaptability and disease resistance. Finally, future trends are discussed, emphasizing the integration of genomic tools with artificial intelligence to promote intelligent, precise, and sustainable breeding approaches. These insights aim to enhance aquaculture productivity while supporting long-term ecological balance and industry sustainability. Full article

13 pages, 778 KiB

Open AccessArticle

Tunnel Lining Recognition and Thickness Estimation via Optical Image to Radar Image Transfer Learning

by Chuan Li, Tong Pu, Nianbiao Cai, Xi Yang, Hao Liu and Lulu Wang

Appl. Sci. 2025, 15(13), 7306; https://doi.org/10.3390/app15137306 (registering DOI) - 28 Jun 2025

Abstract

The secondary lining of a tunnel is a critical load-bearing component, whose stability and structural integrity are essential for ensuring the overall safety of the tunnel. However, identifying lining structures and estimating their thickness using ground-penetrating radar (GPR) remain challenging due to several [...] Read more.

The secondary lining of a tunnel is a critical load-bearing component, whose stability and structural integrity are essential for ensuring the overall safety of the tunnel. However, identifying lining structures and estimating their thickness using ground-penetrating radar (GPR) remain challenging due to several inherent limitations. First, the limited electromagnetic contrast between the primary and secondary linings results in weak interface reflections in GPR imagery, thereby hindering accurate delineation. Second, construction errors such as over-excavation or under-excavation often lead to complex interface geometries, further complicating the interpretation of GPR signals. To address these challenges, we propose an enhanced YOLOv8-seg network capable of performing pixel-level segmentation on GPR images to accurately delineate secondary lining regions and estimate their thickness. The model integrates a convolutional block attention module (CBAM) to refine feature extraction by emphasizing critical characteristics of the two interface layers through channel-wise and spatial attention mechanisms. The model is first pretrained on the COCO dataset and subsequently fine-tuned via transfer learning using a hybrid GPR dataset comprising real-world measurements and numerically simulated data based on forward modeling. Finally, the model is validated on real-world GPR measurements acquired from the Longhai tunnel. Experimental results demonstrate that the proposed method reliably identifies secondary tunnel linings and accurately estimates their average thickness. Full article

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13 pages, 3657 KiB

Open AccessArticle

Analysis of High-Power Radar Propagation Environments Around the Test Site

by Jongho Keun, Taekyeong Jin, Jeonghee Jin and Hosung Choo

Appl. Sci. 2025, 15(13), 7305; https://doi.org/10.3390/app15137305 (registering DOI) - 28 Jun 2025

Abstract

In this paper, we propose a novel evaluation method to assess the strength of electromagnetic (EM) waves in a specific area by analyzing the propagation environment at a radar testing site. To analyze the propagation environment of the radar test site, this evaluation [...] Read more.

In this paper, we propose a novel evaluation method to assess the strength of electromagnetic (EM) waves in a specific area by analyzing the propagation environment at a radar testing site. To analyze the propagation environment of the radar test site, this evaluation method performs precise modeling of actual structures such as buildings and terrain. The calculated received power is then converted into electric field strength to compare with the reference threshold level (61 V/m). The electric field during the radar operation is examined by changing two scenarios: one is when the transmitter (Tx.) is directed toward the receiver (Rx.), and the other is when the Tx. is misaligned. In particular, it may increase the electric field strength near the Tx. system when Tx. and Rx. are misaligned. To reduce the impact of EM waves, we conducted a comparison based on the installation of absorbers. The results indicate that the received electric field shows attenuation rates of 39.47% in the X-band and 39.35% in the Ku-band, achieved with a 1 m absorber. In addition, the theoretical and average measured received powers of −61.9 dBm and −62.03 dBm, respectively, show good agreement with the simulated result of −64.64 dBm. This measurement procedure exhibits high accuracy when compared with theoretical and simulation results. These results demonstrate the reliability of the propagation environment analysis using the proposed integrated simulation model. Full article

(This article belongs to the Section Electrical, Electronics and Communications Engineering)

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26 pages, 7408 KiB

Open AccessArticle

A Multi-Method Approach to the Stability Evaluation of Excavated Slopes with Weak Interlayers: Insights from Catastrophe Theory and Energy Principles

by Tao Deng, Xin Pang, Jiwei Sun, Chengliang Zhang, Daochun Wan, Shaojun Zhang and Xiaoqiang Zhang

Appl. Sci. 2025, 15(13), 7304; https://doi.org/10.3390/app15137304 (registering DOI) - 28 Jun 2025

Abstract

As open-pit mining extends to greater depths, slope stability is becoming a critical factor in ensuring safe production. This issue is particularly pronounced in geological settings with weak interlayers, where sudden slope failures are more likely to occur, demanding precise and reliable stability [...] Read more.

As open-pit mining extends to greater depths, slope stability is becoming a critical factor in ensuring safe production. This issue is particularly pronounced in geological settings with weak interlayers, where sudden slope failures are more likely to occur, demanding precise and reliable stability assessment methods. In this study, a typical open-pit slope with weak interlayers was investigated. Acoustic testing and ground-penetrating radar were employed to identify rock mass structural features and delineate loose zones, enabling detailed rock mass zoning and the development of numerical simulation models for stability analysis. The results indicate that (1) the slope exhibits poor overall integrity, dominated by blocky to fragmented structures with well-developed joints and significant weak interlayers, posing a severe threat to stability; (2) in the absence of support, the slope’s dissipated energy, displacement, and plastic zone volume all exceeded the failure threshold (Δ < 0), and the safety factor was only 0.962, indicating a near-failure state; after implementing support measures, the safety factor increased to 1.31, demonstrating a significant improvement in stability; (3) prior to excavation, the energy damage index (ds) in the 1195–1240 m platform zone reached 0.82, which dropped to 0.48 after reinforcement, confirming the effectiveness of support in reducing energy damage and enhancing slope stability; (4) field monitoring data of displacement and anchor rod forces further validated the stabilizing effect of the support system, providing strong assurance for safe mine operation. By integrating cusp catastrophe theory with energy-based analysis, this study establishes a comprehensive evaluation framework for slope stability under complex geological conditions, offering substantial practical value for deep open-pit mining projects. Full article

(This article belongs to the Special Issue Slope Stability and Earth Retaining Structures—2nd Edition)

15 pages, 796 KiB

Open AccessArticle

The Thermal Properties of Gliadins and Glutenins Fortified with Flavonoids and Their Glycosides Studied via Thermogravimetry (TGA) and Differential Scanning Calorimetry (DSC)

by Magdalena Krekora, Karolina Halina Markiewicz, Agnieszka Zofia Wilczewska and Agnieszka Nawrocka

Appl. Sci. 2025, 15(13), 7303; https://doi.org/10.3390/app15137303 (registering DOI) - 28 Jun 2025

Abstract

Thermal analyses (TGA and DSC) were used to determine the thermal properties of gliadins and glutenins extracted from a model wheat dough fortified with flavonoids and their glycosides. As flavonoids, quercetin; naringenin; hesperetin; and their glycosides, rutin, naringin, and hesperidin, were used in [...] Read more.

Thermal analyses (TGA and DSC) were used to determine the thermal properties of gliadins and glutenins extracted from a model wheat dough fortified with flavonoids and their glycosides. As flavonoids, quercetin; naringenin; hesperetin; and their glycosides, rutin, naringin, and hesperidin, were used in amounts of 0.05%, 0.1% and 0.2%. An analysis of TGA parameters showed that samples fortified with flavonoids/glycosides led to an increase in the weight loss of gliadin. The thermal behavior of gliadins enriched in polyphenols depended on the structure and size of the added compound. The weight loss of glutenin did not change in the presence of the studied polyphenols. An analysis of the difference TGA thermograms showed that quercetin, rutin, and naringin interacted with gliadins through the OH group located at the B ring in the 4’ position. Additionally, quercetin formed chemical bonds with the polypeptide chains of glutenins. The DSC thermograms were consistent with the TGA results, which suggest interactions between gliadin and quercetin. Full article

(This article belongs to the Special Issue Functional Bakery Products: Technological, Chemical and Nutritional Modification: 2nd Edition)

20 pages, 2320 KiB

Open AccessArticle

Machine Learning Approach for Ground-Level Estimation of Electromagnetic Radiation in the Near Field of 5G Base Stations

by Oluwole John Famoriji and Thokozani Shongwe

Appl. Sci. 2025, 15(13), 7302; https://doi.org/10.3390/app15137302 (registering DOI) - 28 Jun 2025

Abstract

Electromagnetic radiation measurement and management emerge as crucial factors in the economical deployment of fifth-generation (5G) infrastructure, as the new 5G network emerges as a network of services. By installing many base stations in strategic locations that operate in the millimeter-wave range, 5G [...] Read more.

Electromagnetic radiation measurement and management emerge as crucial factors in the economical deployment of fifth-generation (5G) infrastructure, as the new 5G network emerges as a network of services. By installing many base stations in strategic locations that operate in the millimeter-wave range, 5G services are able to meet serious demands for bandwidth. To evaluate the ground-plane radiation level of electromagnetics close to 5G base stations, we propose a unique machine-learning-based approach. Because a machine learning algorithm is trained by utilizing data obtained from numerous 5G base stations, it exhibits the capability to estimate the strength of the electric field effectively at every point of arbitrary radiation, while the base station generates a network and serves various numbers of 5G terminals running in different modes of service. The model requires different numbers of inputs, including the antenna’s transmit power, antenna gain, terminal service modes, number of 5G terminals, distance between the 5G terminals and 5G base station, and environmental complexity. Based on experimental data, the estimation method is both feasible and effective; the machine learning model’s mean absolute percentage error is about 5.89%. The degree of correctness shows how dependable the developed technique is. In addition, the developed approach is less expensive when compared to measurements taken on-site. The results of the estimates can be used to save test costs and offer useful guidelines for choosing the best location, which will make 5G base station electromagnetic radiation management or radio wave coverage optimization easier. Full article

(This article belongs to the Special Issue Recent Advances in Antennas and Propagation)

14 pages, 1039 KiB

Open AccessArticle

Attempts to Use Thermal Imaging to Assess the Microbiological Safety of Poultry Meat in Modified Atmosphere Packaging

by Edyta Lipińska, Katarzyna Pobiega, Kamil Piwowarek, Piotr Koczoń and Stanisław Błażejak

Appl. Sci. 2025, 15(13), 7301; https://doi.org/10.3390/app15137301 (registering DOI) - 28 Jun 2025

Abstract

Meat provides a favorable environment for the growth of microorganisms, so increasingly advanced methods are being sought to ensure the rapid detection of their presence and determine the degree of contamination. These measures are intended to ensure consumer health and reduce food losses. [...] Read more.

Meat provides a favorable environment for the growth of microorganisms, so increasingly advanced methods are being sought to ensure the rapid detection of their presence and determine the degree of contamination. These measures are intended to ensure consumer health and reduce food losses. The aim of this study was to evaluate the suitability of a thermal imaging camera and FT-IR spectrophotometry for microbiological quality control of poultry meat. This study used poultry meat fillets packaged in a modified atmosphere and stored at 4 °C for 10 days. During the successive days of storage, the following were determined: the total number of microorganisms, the count of Enterobacteriaceae, the temperature of the samples tested using a thermal imaging camera, and the spectral data contained in the spectra recorded by the FT technique of IR spectroscopy. The results were analyzed using Tukey’s test in the STATISTICA 13.3 statistical program with an assumed significance level of α ≤ 0.05. Spectral data obtained by the FT-IR method were subjected to interpretation using the T.Q. Analyst 8 program. This study found that the number of microorganisms increased between the 2nd and 10th days of storage for the poultry meat samples of four log CFU/g, leading to a temperature increase of 2.61 °C, and also, the intensities and frequencies of selected IR bands generated by vibrations of various groups of atoms changed, including functional groups present in the compounds contained in the tested samples. It was shown that modern techniques such as FT-IR spectroscopy and thermal imaging cameras have significant potential applications in the food industry for assessing the microbiological quality of food. Full article

(This article belongs to the Special Issue Innovative Technology in Food Analysis and Processing)

21 pages, 3582 KiB

Open AccessArticle

A Cascade of Encoder–Decoder with Atrous Convolution and Ensemble Deep Convolutional Neural Networks for Tuberculosis Detection

by Noppadol Maneerat, Athasart Narkthewan and Kazuhiko Hamamoto

Appl. Sci. 2025, 15(13), 7300; https://doi.org/10.3390/app15137300 (registering DOI) - 28 Jun 2025

Abstract

Tuberculosis (TB) is the most serious worldwide infectious disease and the leading cause of death among people with HIV. Early diagnosis and prompt treatment can cut off the rising number of TB deaths, and analysis of chest X-rays is a cost-effective method. We [...] Read more.

Tuberculosis (TB) is the most serious worldwide infectious disease and the leading cause of death among people with HIV. Early diagnosis and prompt treatment can cut off the rising number of TB deaths, and analysis of chest X-rays is a cost-effective method. We describe a deep learning-based cascade algorithm for detecting TB in chest X-rays. Firstly, the lung regions were segregated from other anatomical structures by an encoder–decoder with an atrous separable convolution network—DeepLabv3+ with an XceptionNet backbone, DLabv3+X, and then cropped by a bounding box. Using the cropped lung images, we trained several pre-trained Deep Convolutional Neural Networks (DCNNs) on the images with hyperparameters optimized by a Bayesian algorithm. Different combinations of trained DCNNs were compared, and the combination with the maximum accuracy was retained as the winning combination. The ensemble classifier was designed to predict the presence of TB by fusing DCNNs from the winning combination via weighted averaging. Our lung segmentation was evaluated on three publicly available datasets: it provided better Intercept over Union (IoU) values: 95.1% for Montgomery County (MC), 92.8% for Shenzhen (SZ), and 96.1% for JSRT datasets. For TB prediction, our ensemble classifier produced a better accuracy of 92.7% for the MC dataset and obtained a comparable accuracy of 95.5% for the SZ dataset. Finally, occlusion sensitivity and gradient-weighted class activation maps (Grad-CAM) were generated to indicate the most influential regions for the prediction of TB and to localize TB manifestations. Full article

(This article belongs to the Special Issue Advances in Deep Learning and Intelligent Computing)

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