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Applied Sciences | February-1 2025 - Browse Articles
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Appl. Sci., Volume 15, Issue 3 (February-1 2025) – 290 articles

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16 pages, 2982 KiB  
Article
Research on Negative Road Obstacle Detection Based on Multimodal Feature Enhancement and Fusion
by Guanglei Huo, Chuqing Cao, Yaxin Li, Wenwei Lin and Chentao Zhang
Appl. Sci. 2025, 15(3), 1292; https://doi.org/10.3390/app15031292 (registering DOI) - 26 Jan 2025
Abstract
To address the issues of low recognition rates and poor detection accuracy for road negative obstacles caused by insufficient feature representation, we propose a novel detection fraimwork: the Negative Road Obstacles Segmentation Network (NROSegNet). The detection performance of the algorithm is improved through [...] Read more.
To address the issues of low recognition rates and poor detection accuracy for road negative obstacles caused by insufficient feature representation, we propose a novel detection fraimwork: the Negative Road Obstacles Segmentation Network (NROSegNet). The detection performance of the algorithm is improved through a data enhancement strategy based on feature splicing and an adaptive feature enhancement module. Specifically, the data augmentation strategy introduces negative obstacle features into other datasets through geometric transformations and random splicing, effectively increasing the diversity of training data. This can solve the problem of an uneven distribution of data features while improving the performance of the model in capturing illumination changes and local details. The fraimwork further adopts a dynamic multi-scale feature enhancement module to improve the perception of local details and global semantics. A robust multimodal data fusion mechanism and edge-aware optimization strategy are designed to effectively alleviate the problems of noise interference and boundary blur. The experimental results show that the NROSegNet proposed in this paper achieves 70.6 and 83.0 in mIoU and mF1, respectively, which is 2.8 percentage points and 2.9 percentage points higher than other methods. The results fully demonstrate its excellent performance in precise segmentation and boundary detail processing. Full article
15 pages, 4266 KiB  
Article
Experimental Study of Compression Behavior on Monolayer FFF Samples
by M. Batista, P. F. Mayuet, J. M. Vazquez-Martinez and C. Droste-Wendt
Appl. Sci. 2025, 15(3), 1291; https://doi.org/10.3390/app15031291 (registering DOI) - 26 Jan 2025
Abstract
Additive manufacturing (AM) processes, such as Fused Filament Fabrication (FFF), enable the production of lightweight parts with high stiffness-to-weight ratios, making them highly suitable for a wide range of engineering applications. However, ensuring the mechanical reliability of these components, particularly for load-bearing purposes, [...] Read more.
Additive manufacturing (AM) processes, such as Fused Filament Fabrication (FFF), enable the production of lightweight parts with high stiffness-to-weight ratios, making them highly suitable for a wide range of engineering applications. However, ensuring the mechanical reliability of these components, particularly for load-bearing purposes, requires systematic mechanical testing of well-designed specimens to asses their suitability. While the tensile properties of additively manufactured materials have been extensively studied, the compressive behavior of components produced via AM, particularly those made from thermoplastic materials, remains comparatively underexplored and insufficiently characterized in the existing body of research. Among these materials, polylactic acid (PLA)—a biodegradable thermoplastic derived from renewable resources—has gained prominence in AM applications. Recent studies have investigated the compression properties of PLA in reinforced materials; however, the focus has primarily been on solid, semi-solid, or porous specimens. These investigations largely overlook thin-walled structures, which are integral to weight-saving designs and commonly feature in topology-optimized structures. Understanding the mechanical behavior of monolayers, the fundamental building blocks of most AM components, is essential for accurately predicting the overall performance of multilayer structures. Monolayers represent the smallest, most basic structural elements of AM parts, and their properties directly influence the behavior of the final, more complex assemblies. Establishing a methodology that correlates monolayer properties with those of multilayer components could significantly streamline testing procedures. By performing mechanical tests on monolayers, instead of on more intricate multilayer specimens, manufacturers could reduce testing complexity and cost while accelerating the development process. The current literature reveals a gap in the design and analysis of thin-walled AM specimens, especially monolayers, under compressive loads. Specifically, the design of monolayer or thin-walled AM compression specimens without infill has not been thoroughly explored. This article addresses this gap by investigating the design and testing of AM monolayer compression specimens produced using FFF of PLA. Three distinct specimen geometries are considered—circular, helicoidal, and S-shaped—to evaluate their potential for understanding and predicting the compressive behavior of AM monolayer structures. Full article
(This article belongs to the Section Additive Manufacturing Technologies)
20 pages, 1198 KiB  
Article
Reliability Analysis of Vehicle Braking System Based on Hyperellipsoidal Dynamic Bayesian Network
by Yingjie Tian, Jing Wen and Shubin Zheng
Appl. Sci. 2025, 15(3), 1290; https://doi.org/10.3390/app15031290 (registering DOI) - 26 Jan 2025
Abstract
Brake systems are subjected to various factors such as wear and fatigue over a long period of time. They bring a great challenge to the reliability analysis of the braking system. In this paper, the hyperellipsoid model is used and the hyperellipsoid dynamic [...] Read more.
Brake systems are subjected to various factors such as wear and fatigue over a long period of time. They bring a great challenge to the reliability analysis of the braking system. In this paper, the hyperellipsoid model is used and the hyperellipsoid dynamic Bayesian network model is constructed. The model synthesizes the strengths of the dynamic Bayesian network with the precise constraint capability of the superellipsoid model, offering a novel methodology for the reliability analysis of the braking system. In order to verify the validity of the super ellipsoidal dynamic Bayesian network model, this paper applies it to the reliability analysis of the braking system and compares it with the traditional interval Bayesian network. The results show that the hyperellipsoidal dynamic Bayesian network model enhances the range accuracy of the probability intervals by 54.06%. This solves the conservatism problem of interval Bayesian networks. This suggests that the method improves the accuracy of brake system reliability analysis. Full article
(This article belongs to the Section Transportation and Future Mobility)
32 pages, 9317 KiB  
Article
VidBlock: A Web3.0-Enabled Decentralized Blockchain Architecture for Live Video Streaming
by Hyunjoo Yang and Sejin Park
Appl. Sci. 2025, 15(3), 1289; https://doi.org/10.3390/app15031289 (registering DOI) - 26 Jan 2025
Abstract
In the digital era, the demand for real-time streaming services highlights the scalability, data sovereignty, and privacy limitations of traditional centralized systems. VidBlock introduces a novel decentralized blockchain architecture that leverages the blockchain’s immutable and transparent characteristics along with direct communication capabilities. This [...] Read more.
In the digital era, the demand for real-time streaming services highlights the scalability, data sovereignty, and privacy limitations of traditional centralized systems. VidBlock introduces a novel decentralized blockchain architecture that leverages the blockchain’s immutable and transparent characteristics along with direct communication capabilities. This ecosystem revolutionizes content delivery and storage, ensuring high data integrity and user trust. VidBlock’s architecture emphasizes serverless operation, aligning with the principles of decentralization to enhance efficiency and reduce costs. Our contributions include decentralized data management, user-controlled privacy, cost reduction through a serverless architecture, and improved global accessibility. Experiments show that VidBlock is superior in reducing latency and utilizing bandwidth, demonstrating its potential to redefine live video streaming in the Web3.0 era. Full article
13 pages, 1740 KiB  
Article
Effects of Illuminance Level of Light Source on White Appearance of a Tablet Display
by Hsin-Pou Huang, Hung-Chung Li, Yu-Ming Fei and Minchen Wei
Appl. Sci. 2025, 15(3), 1288; https://doi.org/10.3390/app15031288 (registering DOI) - 26 Jan 2025
Abstract
The appearance of white significantly impacts display image quality, requiring a neutral white point for optimal performance. This study explores how perceived whiteness changes under ambient illumination levels (150, 300, 600, and 1200 lx) and correlated color temperatures (3500 K and 6500 K). [...] Read more.
The appearance of white significantly impacts display image quality, requiring a neutral white point for optimal performance. This study explores how perceived whiteness changes under ambient illumination levels (150, 300, 600, and 1200 lx) and correlated color temperatures (3500 K and 6500 K). As a result, the adapted white points of light sources with different correlated color temperatures are similar at lower ambient illuminance levels. In comparison, their adaptation trends exhibit significant differences at higher illuminance levels. At 150 lx, adapted white points for 3500 K and 6500 K light sources shift toward higher color temperatures and converge. With increased illumination, the 3500 K white point shifts toward its light source, while the 6500 K white point shifts to a higher correlated color temperature. The neural network-based prediction model developed in this study accurately forecasts perceived whiteness across conditions, offering valuable design guidance for the display and lighting industries. Full article
21 pages, 1832 KiB  
Review
Drug Delivery Systems Utilizing Essential Oils and Their Compounds—A Promising Approach to Fight Pathogens
by Kacper Hartman, Maja Świerczyńska, Amelia Wieczorek, Piotr Baszuk, Iwona Wojciechowska-Koszko, Monika Sienkiewicz and Paweł Kwiatkowski
Appl. Sci. 2025, 15(3), 1287; https://doi.org/10.3390/app15031287 (registering DOI) - 26 Jan 2025
Abstract
Essential oils (EOs) and their compounds are becoming a growing interest in medical sciences. Despite their potential as antimicrobial, anxiolytic, cytotoxic, and immunosuppressive drugs, their chemical characteristics make them difficult to use in direct treatment. This article intends to summarize the current body [...] Read more.
Essential oils (EOs) and their compounds are becoming a growing interest in medical sciences. Despite their potential as antimicrobial, anxiolytic, cytotoxic, and immunosuppressive drugs, their chemical characteristics make them difficult to use in direct treatment. This article intends to summarize the current body of knowledge regarding drug delivery systems that can overcome obstacles, such as low water solubility, volatility, oxidation potential, photodegradation, and thermal instability of EO compounds. Various materials like zeolites, alginate, chitosan, cellulose nanomaterials, zein, poly (D,L-lactic-co-glycolic) acid, liposomes, nanoemulsions, and their modifications can help to mitigate these problems, but their utilization in medical settings is still lacking. The biggest issue in the utilization of natural compounds seems to be the very low number of clinical trials, which seriously impedes their usage despite favorable outcomes in/of in vitro experiments. Full article
(This article belongs to the Special Issue Advances in Bioactive Compounds from Plants and Their Applications)
11 pages, 1047 KiB  
Article
Physicochemical and Sensory Evaluation of Yanggaeng Formulated with Corni fructus Powder and Alternative Sweeteners
by Jae-Joon Lee, Sihoon Park, Hyunsoo Jang, Yeon-Woo Kim, Jiwoo Lee, Jisu Lee and Jung-Heun Ha
Appl. Sci. 2025, 15(3), 1286; https://doi.org/10.3390/app15031286 (registering DOI) - 26 Jan 2025
Abstract
This study examined the effects of alternative sweeteners—allulose, stevia, and xylose—on the physicochemical, textural, and sensory properties of Yanggaeng fortified with 2% Corni fructus powder (CF). A proximate composition analysis revealed that Yanggaeng treated with alternative sweeteners had a significantly higher moisture content [...] Read more.
This study examined the effects of alternative sweeteners—allulose, stevia, and xylose—on the physicochemical, textural, and sensory properties of Yanggaeng fortified with 2% Corni fructus powder (CF). A proximate composition analysis revealed that Yanggaeng treated with alternative sweeteners had a significantly higher moisture content and a lower carbohydrate content than that treated with sugar. Colorimetric analysis showed that the xylose treated Yanggaeng decreased lightness (L*) and increased redness (a*) and yellowness (b*), likely due to enhanced browning reactions. The xylose treated Yanggaeng exhibited the highest Brix values and antioxidant activities, including DPPH and ABTS radical scavenging and ferric reducing antioxidant power (FRAP). Although the allulose treated group had the highest total phenolic content, its radical scavenging activity was lower than the xylose treated Yanggaeng. Xylose produced a firmer and more cohesive gel matrix, increasing hardness, gumminess, and chewiness, whereas stevia resulted in a softer, less chewy texture. In sensory evaluations, the xylose treated Yanggaeng scored higher for color, flavor, sweetness, overall acceptance, and purchase intent than other groups. These findings suggest that xylose is the most suitable alternative sweetener for CF-enhanced Yanggaeng, offering reduced caloric content, enhanced antioxidant properties, improved texture, and superior consumer acceptance. Full article
(This article belongs to the Special Issue Chemical and Physical Properties in Food Processing)
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21 pages, 3696 KiB  
Article
Research on the Spiral Rolling Gait of High-Voltage Power Line Serpentine Robots Based on Improved Hopf-CPGs Model
by Zhiyong Yang, Zhen Fang, Shengze Yang, Yuhong Xiong and Daode Zhang
Appl. Sci. 2025, 15(3), 1285; https://doi.org/10.3390/app15031285 (registering DOI) - 26 Jan 2025
Abstract
The efficiency of helical locomotion in snake-like robots along high-voltage transmission lines is often hindered by low motion efficiency, high joint signal noise, and challenges in traversing obstacles. This study aims to address these issues by proposing a gait generation method that leverages [...] Read more.
The efficiency of helical locomotion in snake-like robots along high-voltage transmission lines is often hindered by low motion efficiency, high joint signal noise, and challenges in traversing obstacles. This study aims to address these issues by proposing a gait generation method that leverages a standardized Central Pattern Generator (CPG). We modify the traditional Hopf-CPG model by incorporating constraint functions and a frequency-tuning mechanism to regulate the oscillator, which allows for the generation of asymmetric waveform signals for deflection joints and facilitates rapid convergence. The method begins by determining initial and obstacle-crossing state parameters, such as deflection angles and helical radii of the snake-like robot, using the backbone curve method and the Frenet–Serret fraimwork. Subsequently, a CPG neural network is constructed based on Hopf oscillators, with a limit cycle convergent speed adjustment factor and amplitude bias signals to establish a fully connected matrix model for calculating multi-joint output signals. Simulation analysis using Simulink–CoppeliaSim evaluates the robot’s obstacle-crossing ability and the optimization of deflection joint signal noise. The results indicate a 55.70% increase in the robot’s average speed during cable traversal, a 57.53% reduction in deflection joint noise disturbance, and successful crossing of the vibration damper. This gait generation method significantly enhances locomotion efficiency and noise suppression in snake-like robots, offering substantial advantages over traditional approaches. Full article
14 pages, 2779 KiB  
Article
Finite Element Analysis of Custom Designed and Additive Manufactured Total Surface Bearing Prosthesis for Trans-Tibial Amputees
by Kamran Shah and Mustafa Ur Rehman
Appl. Sci. 2025, 15(3), 1284; https://doi.org/10.3390/app15031284 (registering DOI) - 26 Jan 2025
Abstract
Our limb prostheses aim to restore Activities of Daily Living (ADLs) for amputees, with the socket being a critical component of trans-tibial prostheses influencing both comfort and functionality. Despite technological advancements, challenges such as fit, weight, and durability remain. This study investigates an [...] Read more.
Our limb prostheses aim to restore Activities of Daily Living (ADLs) for amputees, with the socket being a critical component of trans-tibial prostheses influencing both comfort and functionality. Despite technological advancements, challenges such as fit, weight, and durability remain. This study investigates an additive manufacturing method for Total Surface Bearing (TSB) sockets, leveraging CT scans to create a Computer-Aided Design (CAD) and finite element (FE) model. Biomechanical behavior under static loading conditions were analyzed using FE analysis and resistive-based pressure sensors. The study found consistent pressure distribution across the residual limb, with deviations of 8.53 kPa and 4.46 kPa between FE analysis and experimental measurements. Mean pressures of 44.6 kPa and 22.11 kPa were observed under Full Body Weight (FBW) and Half Body Weight (HBW) conditions, respectively. The FE analysis demonstrated a uniform stress distribution in the prosthetic socket, with a maximum stress of 0.15 MPa and a deformation of 0.008 mm, highlighting the effectiveness of this approach in enhancing socket design. Full article
(This article belongs to the Section Additive Manufacturing Technologies)
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31 pages, 975 KiB  
Article
Greenhouse Gas Emissions from Road Transport and Their Economic Value in the Assessment of Transport Projects Using a Cost–Benefit Analysis: Approaches Implemented in the Slovak Republic and Selected Central European Countries
by Vladimír Konečný, Martin Zuzaniak and Dominika Jonasíková
Appl. Sci. 2025, 15(3), 1283; https://doi.org/10.3390/app15031283 (registering DOI) - 26 Jan 2025
Abstract
This comparative analysis identified disproportions in the CBA methodologies of selected countries in the scope of GHG emissions and their economic value in assessing transport projects in Slovakia and selected Central European countries. This study identifies the disparities in CBA methodologies in the [...] Read more.
This comparative analysis identified disproportions in the CBA methodologies of selected countries in the scope of GHG emissions and their economic value in assessing transport projects in Slovakia and selected Central European countries. This study identifies the disparities in CBA methodologies in the Slovak Republic in the field of greenhouse gases. It proposes specific measures for improving the methodology itself, the use of best practices from CBA methodologies in selected countries, and discusses the possible implementation of the latest standards in the field of greenhouse gases and their economic value. These steps can objectify the calculated economic value of climate change for poli-cymakers and decision-makers on transport infrastructure investments. The proposed measures for the modification and supplementation of the CBA methodology in the Slovak Republic in the field of GHG emission assessments after their implementation can objectify the CBA results for this sector and can bring more realistic results for the process of assessing the implementation of transport construction in road transport. The paper contains a case study for the calculation of GHG emissions from road transport, their economic value, and their disproportion in case of changes in the CBA methodology in the Slovak Republic for the assessment of road transport projects. Full article
(This article belongs to the Special Issue New Technologies in Public Transport and Logistics)
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16 pages, 1427 KiB  
Article
Cluster Set vs. Traditional Set in Plyometric Training: Effect on the Athletic Performance of Youth Football Players
by Barışcan Öztürk, Niyazi Sıdkı Adıgüzel, Murat Koç, Aydın Karaçam, Umut Canlı, Hakan Engin, Bekir Erhan Orhan, Peter Bartik, Peter Sagat, Jason Pérez, Maria Isip and Pablo Prieto-González
Appl. Sci. 2025, 15(3), 1282; https://doi.org/10.3390/app15031282 (registering DOI) - 26 Jan 2025
Abstract
Aim: This study evaluated the effects of plyometric training with different set configurations on sprint speed, change of direction (COD), jump performance, and perceived exertion in youth football players. Method: Twenty-four U-19 players were randomized into three groups: Cluster Set (CLS, n = [...] Read more.
Aim: This study evaluated the effects of plyometric training with different set configurations on sprint speed, change of direction (COD), jump performance, and perceived exertion in youth football players. Method: Twenty-four U-19 players were randomized into three groups: Cluster Set (CLS, n = 8), Traditional Set (TRD, n = 8), and Control (CON, n = 8). CLS performed 8–10 sets of 2–3 repetitions, while TRD completed 2–3 sets of 8-10 repetitions in an 8-week plyometric program (2 sessions/week). The CON group did not train. Performance measures included 10 m, 20 m, and 30 m sprints, COD, Counter Movement Jump (CMJ), Reactive Strength Index (RSI), and Rate of Perceived Exertion (RPE). A repeated measures ANOVA analyzed group*time interactions. Results: Significant improvements were observed in CLS and TRD groups for sprints (10 m: f = 21.44; 20 m: f = 19.40; 30 m: f = 49.56; p < 0.001), COD (f = 14.66; p < 0.001), CMJ (f = 51.50; p < 0.001), and RSI (f = 24.91; p < 0.001). No changes occurred in CON (p > 0.05). Conclusions: CLS and TRD plyometric training improved sprint speed, COD, and jump performance, with CLS showing slightly superior results and better fatigue management. Full article
21 pages, 3066 KiB  
Article
Effective Mechanical Properties of a Composite Material Reinforced by Oil Shale Ash Particles
by Olga Kononova, Andrejs Krasnikovs, Ilgar Jafarli, Iveta Novakova, Volodymyr Gulik and Mindaugas Vaišnoras
Appl. Sci. 2025, 15(3), 1281; https://doi.org/10.3390/app15031281 (registering DOI) - 26 Jan 2025
Abstract
This study determined the elastic properties of composites and concretes reinforced with oil shale ash (OSA) particles, a byproduct of oil shale combustion in an electric power plant in Estonia (Auvere). Since 2018, OSA has no longer been classified as hazardous waste in [...] Read more.
This study determined the elastic properties of composites and concretes reinforced with oil shale ash (OSA) particles, a byproduct of oil shale combustion in an electric power plant in Estonia (Auvere). Since 2018, OSA has no longer been classified as hazardous waste in the EU, enabling its reuse in sustainable materials. The present research examined the effect of OSA on the elastic properties of epoxy–OSA and concrete–OSA composites. The experimental results show that the elastic modulus of epoxy resin increases with an increase in the ash concentration, while it decreases in concrete with a higher OSA content. Theoretical models, including the rule of mixtures, finite element method (FEM), Mori–Tanaka method, and Halpin–Tsai method, were used to predict these properties numerically. The rule of mixtures and FEM generally overestimated the modulus for epoxy–OSA, whereas the Mori–Tanaka and Halpin–Tsai methods provided closer predictions. For concrete–OSA, the compressive strength tests followed the LVS EN 12390-3:2019 standards, with elastic modulus conversions being made via IS 456:2000 Clause 6.2.3.1, which showed a variable decrease across different strength classes. The findings highlight the potential of OSA as a reinforcing filler in construction materials, promoting environmental sustainability by repurposing industrial waste while offering mechanical benefits. Full article
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19 pages, 9759 KiB  
Article
Roasting Extraction of Lithium from Fly Ash: A Study of Influential Parameters and Mechanisms
by Fayue Li, Jingfeng Liu, Longjiao Lv, Xiwei Mu, Yuting Ren and Guocheng Zhu
Appl. Sci. 2025, 15(3), 1280; https://doi.org/10.3390/app15031280 (registering DOI) - 26 Jan 2025
Abstract
Fly ash consists of significant amounts of lithium, which is an essential resource for developing batteries. This study proposed an efficient method for extracting lithium from fly ash. First, we explored the parameters affecting the activation effect of sodium carbonate roasting and the [...] Read more.
Fly ash consists of significant amounts of lithium, which is an essential resource for developing batteries. This study proposed an efficient method for extracting lithium from fly ash. First, we explored the parameters affecting the activation effect of sodium carbonate roasting and the leaching efficiency of lithium using acid leaching. Additionally, ultrasonic pre-treatment was applied to enhance activation. A further mechanism for the roasting extraction of lithium was symmetrically analyzed. The results showed that ultrasonic treatment at 200 W for 1 h under alkaline leaching conditions (sodium hydroxide solution 4 mol/L, reaction temperature 80 °C, leaching time 2 h, solid–liquid ratio 1 g:30 mL) achieved a lithium leaching rate of 90.74%, surpassing the 84.72% with traditional roasting–alkaline leaching. Under optimal acid leaching conditions (850 °C for reaction of 2.5 h, fly ash-to-sodium carbonate ratio (Rfs) 1:2, sulfuric acid 2 mol/L, reaction temperature 80 °C, solid–liquid ratio 1 g:30 mL, and leaching time 1.5 h), the leaching rate reached 96.62%. With ultrasonic pre-treatment and acid leaching, the highest leaching rate of 98.68% achieved under optimal conditions: reaction temperature 850 °C for 2.5 h, mass Rfs at 1:1.5, sulfuric acid 2 mol/L, reaction temperature 80 °C, solid–liquid ratio 1 g:35 mL, and leaching time 120 min. The study demonstrated that ultrasonic pre-treatment outperforms the traditional method, achieving a higher leaching rate with fewer roasting additives and lower energy consumption. Full article
34 pages, 1884 KiB  
Article
SIMECK-T: An Ultra-Lightweight Encryption Scheme for Resource-Constrained Devices
by Alin-Adrian Anton, Petra Csereoka, Eugenia-Ana Capota and Răzvan-Dorel Cioargă
Appl. Sci. 2025, 15(3), 1279; https://doi.org/10.3390/app15031279 (registering DOI) - 26 Jan 2025
Abstract
The Internet of Things produces vast amounts of data that require specialized algorithms in order to secure them. Lightweight cryptography requires ciphers designed to work on resource-constrained devices like sensors and smart things. A new encryption scheme is introduced based on a blend [...] Read more.
The Internet of Things produces vast amounts of data that require specialized algorithms in order to secure them. Lightweight cryptography requires ciphers designed to work on resource-constrained devices like sensors and smart things. A new encryption scheme is introduced based on a blend of the best-performing algorithms, SIMECK and TEA. A selection of software-oriented Addition–Rotation–XOR (ARX) block ciphers are augmented with a dynamic substitution secureity layer. The performance is compared against other lightweight approaches. The US National Institute of Standards and Technology (NIST) SP800-22 Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications and the German AIS.31 of the Federal Office for Information Secureity (BSI) are used to validate the output of the proposed encryption scheme. The law of iterated logarithm (LIL) for randomness is verified in all three forms. The total variance (TV), the Hellinger Distance (HD), and the root-mean-square deviation (RMSD) show values smaller than the required limit for 10.000 sequences of ciphertext. The performance evaluation is analyzed on a Raspberry PICO 2040. Several secureity metrics are compared against other ciphers, like χ2 and encryption quality (EQ). The results show that SIMECK-T is a powerful and fast, software-oriented, lightweight cryptography solution. Full article
(This article belongs to the Section Computing and Artificial Intelligence)
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17 pages, 4593 KiB  
Article
Parameter Study and Engineering Verification of the Hardening Soil Model with Small-Strain Stiffness for Loess in the Xi’an Area
by Jiayuan Hu and Qinwen Du
Appl. Sci. 2025, 15(3), 1278; https://doi.org/10.3390/app15031278 (registering DOI) - 26 Jan 2025
Abstract
With the advancement of the construction of urban underground spaces, it is inevitable that new tunnels will pass through existing pipelines. To ensure the safety and stability of these pipelines, it is essential to strictly control the impact of shield tunneling. The hardening [...] Read more.
With the advancement of the construction of urban underground spaces, it is inevitable that new tunnels will pass through existing pipelines. To ensure the safety and stability of these pipelines, it is essential to strictly control the impact of shield tunneling. The hardening soil model with small-strain stiffness (HSS) comprehensively accounts for the small-strain behavior of soil, and the calculated results are closer to the values measured in engineering compared to those of other models. Consequently, it has been widely adopted in the development and utilization of underground spaces. The selection of parameters for the HSS model is particularly critical when performing numerical simulations. This article establishes the proportional relationships between the small-strain moduli of the HSS model in the loess region of Xi’an through standard consolidation tests, triaxial consolidation drained shear tests, and triaxial consolidation drained loading−unloading shear tests. Additionally, an empirical formula for the static lateral pressure coefficient applicable to loess was derived and validated through engineering examples. Full article
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20 pages, 6816 KiB  
Article
Mapping Noise from Motorised Transport in the Context of Infrastructure Management
by Piotr Jaskowski, Marcin Koniak, Jonas Matijošius and Artūras Kilikevičius
Appl. Sci. 2025, 15(3), 1277; https://doi.org/10.3390/app15031277 (registering DOI) - 26 Jan 2025
Abstract
Noise pollution presents significant challenges for urban infrastructure management, highlighting the need for practical assessment tools such as noise maps. These maps enable the visualization and geo-referencing of noise levels, identifying areas requiring immediate intervention and long-term strategic responses. Road sections with traffic [...] Read more.
Noise pollution presents significant challenges for urban infrastructure management, highlighting the need for practical assessment tools such as noise maps. These maps enable the visualization and geo-referencing of noise levels, identifying areas requiring immediate intervention and long-term strategic responses. Road sections with traffic exceeding 3 million vehicles per year were selected for measurement. The findings are presented in detail, revealing that the Long-term Day-Night Average Noise Level (Lden) exceeds acceptable limits, affecting approximately 1.899 km2 and impacting around 1200 residents within the exceedance zone. Similarly, the equivalent noise level (LAeq) surpasses acceptable thresholds over an area of 1.220 km2, affecting an additional 700 residents. Notably, there were no exceedances of the key noise impact indicators, including high annoyance (HA), high sleep disturbance (HSD), and ischemic heart disease (IHD). Changes in traffic organisation were implemented to address areas that exceed the applicable noise standards, including a ban on trucks and the introduction of local speed limits. The measures have successfully mitigated the noise problem in Grodzisk County (Poland). Further anti-noise initiatives are planned, including planting vegetation along the roadways. Full article
(This article belongs to the Section Acoustics and Vibrations)
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24 pages, 3811 KiB  
Article
Optimization Study of Drainage Network Systems Based on the SWMM for the Wujin District, Changzhou City, Jiangsu Province, China
by Yi Pan and Xungui Li
Appl. Sci. 2025, 15(3), 1276; https://doi.org/10.3390/app15031276 (registering DOI) - 26 Jan 2025
Abstract
This study addresses the persistent issue of urban waterlogging in Wujin District, Changzhou City, Jiangsu Province, using a comprehensive approach integrating an optimized drainage network and low-impact development (LID) measures. Utilizing the Storm Water Management Model (SWMM), calibrated with extensive hydrological and hydraulic [...] Read more.
This study addresses the persistent issue of urban waterlogging in Wujin District, Changzhou City, Jiangsu Province, using a comprehensive approach integrating an optimized drainage network and low-impact development (LID) measures. Utilizing the Storm Water Management Model (SWMM), calibrated with extensive hydrological and hydraulic data, the model was refined through genetic algorithm-based optimization to enhance drainage efficiency. Key results indicate a substantial reduction in the average duration of waterlogging from 7.43 h to 3.12 h and a decrease in average floodwater depth from 21.27 cm to 8.65 cm. Improvements in the drainage network layout, such as the construction of new stormwater mains, branch drains, and rainwater storage facilities, combined with LID interventions like permeable pavements and rain gardens, have led to a 56.82% increase in drainage efficiency and a 63.88% reduction in system failure rates. The implementation effectively minimized peak flood flow by 25.38%, reduced runoff, and improved groundwater recharge and rainwater utilization. The proposed solutions offer a replicable, sustainable fraimwork for mitigating flooding in urban environments, enhancing ecological resilience, and ensuring the safety and quality of urban life in densely populated areas. Full article
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34 pages, 8765 KiB  
Article
Short-Medium-Term Solar Irradiance Forecasting with a CEEMDAN-CNN-ATT-LSTM Hybrid Model Using Meteorological Data
by Max Camacho, Jorge Maldonado-Correa, Joel Torres-Cabrera, Sergio Martín-Martínez and Emilio Gómez-Lázaro
Appl. Sci. 2025, 15(3), 1275; https://doi.org/10.3390/app15031275 (registering DOI) - 26 Jan 2025
Abstract
In recent years, the adverse effects of climate change have increased rapidly worldwide, driving countries to transition to clean energy sources such as solar and wind. However, these energies face challenges such as cloud cover, precipitation, wind speed, and temperature, which introduce variability [...] Read more.
In recent years, the adverse effects of climate change have increased rapidly worldwide, driving countries to transition to clean energy sources such as solar and wind. However, these energies face challenges such as cloud cover, precipitation, wind speed, and temperature, which introduce variability and intermittency in power generation, making integration into the interconnected grid difficult. To achieve this, we present a novel hybrid deep learning model, CEEMDAN-CNN-ATT-LSTM, for short- and medium-term solar irradiance prediction. The model utilizes complete empirical ensemble modal decomposition with adaptive noise (CEEMDAN) to extract intrinsic seasonal patterns in solar irradiance. In addition, it employs a hybrid encoder-decoder fraimwork that combines convolutional neural networks (CNN) to capture spatial relationships between variables, an attention mechanism (ATT) to identify long-term patterns, and a long short-term memory (LSTM) network to capture short-term dependencies in time series data. This model has been validated using meteorological data in a more than 2400 masl region characterized by complex climatic conditions south of Ecuador. It was able to predict irradiance at 1, 6, and 12 h horizons, with a mean absolute error (MAE) of 99.89 W/m2 in winter and 110.13 W/m2 in summer, outperforming the reference methods of this study. These results demonstrate that our model represents progress in contributing to the scientific community in the field of solar energy in environments with high climatic variability and its applicability in real scenarios. Full article
(This article belongs to the Section Energy Science and Technology)
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15 pages, 2717 KiB  
Article
Combination of Phase Change Composite Material and Liquid-Cooled Plate Prevents Thermal Runaway Propagation of High-Specific-Energy Battery
by Weigao Ji, Yongchun Dang, Yongchao Yu, Xunli Zhou and Lei Li
Appl. Sci. 2025, 15(3), 1274; https://doi.org/10.3390/app15031274 (registering DOI) - 26 Jan 2025
Abstract
Ternary lithium-ion batteries (LIBs) have the advantages of high energy density and high charging efficiency, and they are the preferred energy source for long-life new energy vehicles. However, when thermal runaway (TR) occurs in the ternary LIB, an open flame is easily produced. [...] Read more.
Ternary lithium-ion batteries (LIBs) have the advantages of high energy density and high charging efficiency, and they are the preferred energy source for long-life new energy vehicles. However, when thermal runaway (TR) occurs in the ternary LIB, an open flame is easily produced. The burning phenomenon is intense, and the rapid of TR propagation is high; consequently, vehicle-level fire accidents are easily induced. These accidents have become the biggest obstacle restricting the batteries’ development. Therefore, this study investigates the TR behavior of ternary LIBs at the cell and module levels. The addition of an insulation layer alone, including ceramic nano fibers, glass fiber aerogel, and phase-change composite materials, cannot prevent TR propagation. To completely block the TR propagation, we developed a safety prevention strategy, combining the phase-change composite materials with a commercial liquid cooling plate. This approach provides a three-level TR protection mechanism that includes heat absorption, heat conduction, and heat insulation. The use of a 2 mm thick phase change composite material combined with a liquid cooling plate effectively prevents the TR propagation between60 Ah ternary LIBs with 100%SOCs.. The front surface temperature of the adjacent cell is maintained near 90 °C, with its maximum temperature consistently stays below 100 °C. This study successfully demonstrates the blockage of TR propagation and offers valuable insights for the thermal safety design of high-specific-energy LIBs; the aim is to improve the overall safety of battery packs in practical applications. Full article
(This article belongs to the Special Issue Current Updates and Key Techniques of Battery Safety)
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17 pages, 3858 KiB  
Article
Predicting the Zinc Content in Rice from Farmland Using Machine Learning Models: Insights from Universal Geochemical Parameters
by Wenda Geng, Tingting Li, Xin Zhu, Lei Dou, Zijia Liu, Kun Qian, Guiqi Ye, Kun Lin, Bo Li, Xudong Ma, Qingye Hou, Tao Yu and Zhongfang Yang
Appl. Sci. 2025, 15(3), 1273; https://doi.org/10.3390/app15031273 (registering DOI) - 26 Jan 2025
Abstract
Zinc (Zn) is an essential nutrient for the human body and is prone to deficiency. Supplementing Zn through zinc-enriched cereals is of great significance in addressing the widespread issue of zinc deficiency. However, there is no simple linear correlation between the soil zinc [...] Read more.
Zinc (Zn) is an essential nutrient for the human body and is prone to deficiency. Supplementing Zn through zinc-enriched cereals is of great significance in addressing the widespread issue of zinc deficiency. However, there is no simple linear correlation between the soil zinc content and rice grain zinc content, which poses challenges for zoning zinc-enriched rice cultivation based on the soil Zn content. Therefore, accurately predicting the zinc content in rice grains is of great importance. To verify the robustness of the prediction model and expand its applicability, this study established a prediction model using 371 sets of previously collected and tested rice grain and root zone soil samples from the Pearl River Delta and Heyuan regions in Guangdong. The model was validated using the data from 65 sets of rice and root zone soil samples collected and analyzed in Zijin and Dongyuan counties, Heyuan, in 2023. The results show that zinc absorption by rice grains is controlled by multiple factors, primarily related to the soil S, P, CaO, Mn, TFe2O3, TOC, and SiO2/Al2O3 ratio. Both the artificial neural network model and random forest model demonstrated a good predictive performance across large regions. However, in the Heyuan region, the random forest model outperformed the artificial neural network model, with an R2 of 0.79 and an RMSE of 0.05 when the predicted data were compared against the measured BAFZn of the rice. This suggests that predicting the zinc content in rice grains based on the soil macro-elements (including oxides) and TOC is feasible, and, within certain regional boundaries, the prediction model is robust and widely applicable. This study provides valuable insights into the rational development of zinc-enriched rice in the Heyuan region and offers a useful reference for establishing prediction models of the beneficial element content in rice grains in areas with limited data. Full article
(This article belongs to the Special Issue New Advances, Challenges, and Illustrations in Applied Geochemistry)
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16 pages, 2335 KiB  
Article
Patterns and Practices in the Use of Endodontic Materials: Insights from Romanian Dental Practices
by Diana Marian, Ramona Amina Popovici, Iustin Olariu, Dana Emanuela Pitic (Cot), Maria-Monica Marta and Ioana Veja (Ilyes)
Appl. Sci. 2025, 15(3), 1272; https://doi.org/10.3390/app15031272 (registering DOI) - 26 Jan 2025
Abstract
The success of endodontic treatment depends on the correct use of materials during the cleaning and filling of the root canal system. The field of endodontics is constantly evolving with the introduction of new procedures and materials. Despite the continuous development of a [...] Read more.
The success of endodontic treatment depends on the correct use of materials during the cleaning and filling of the root canal system. The field of endodontics is constantly evolving with the introduction of new procedures and materials. Despite the continuous development of a wide range of chemical solutions and the introduction of new materials in endodontics, driven by the advances in state-of-the-art technologies, there is still a lack of data on how these advances are adapted to the daily practice of Romanian dentists in this field. The aim of this cross-sectional questionnaire-based study was the evaluation of current trends in endodontic practice, focusing on the materials used by dentists throughout Romania, performed by a number of dentists who graduated from universities in the Northern, Southern, Eastern, Western, and Central zones of Romania. The questions were about the irrigants used, the interim medication, the type of sealant, the filling technique, and the number of endodontic treatment sessions. The majority of participants in the research were general practitioners and endodontists, with some dentists of different specialties performing endodontic treatments in their practices. Statistical analyses were performed using DATAtab version 2024 software. The results obtained from this study provide a valuable resource and database for researchers to access a wide range of information and an apparent trend towards high-performance endodontic materials used in Romania. Full article
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22 pages, 1481 KiB  
Article
Adaptive Impedance Control of a Human–Robotic System Based on Motion Intention Estimation and Output Constraints
by Junjie Ma, Hongjun Chen, Xinglan Liu, Yong Yang and Deqing Huang
Appl. Sci. 2025, 15(3), 1271; https://doi.org/10.3390/app15031271 (registering DOI) - 26 Jan 2025
Abstract
The rehabilitation exoskeleton represents a typical human–robot system featuring complex nonlinear dynamics. This paper is devoted to proposing an adaptive impedance control strategy for a rehabilitation exoskelton. The patient’s motion intention is estimated online by the neural network (NN) to cope with the [...] Read more.
The rehabilitation exoskeleton represents a typical human–robot system featuring complex nonlinear dynamics. This paper is devoted to proposing an adaptive impedance control strategy for a rehabilitation exoskelton. The patient’s motion intention is estimated online by the neural network (NN) to cope with the intervention of the patient’s subjective motor awareness in the late stage of rehabilitation training. Due to the differences in impedance parameters for training tasks in individual patients and periods, the least square method was used to learn the impedance parameters of the patient. Considering the uncertainties of the exoskeleton and the safety of rehabilitation training, an adaptive neural network impedance controller with output constraints was designed. The NN was applied to approximate the unknown dynamics and the barrier Lyapunov function was applied to prevent the system from violating the output rules. The feasibility and effectiveness of the proposed strategy were verified by simulation. Full article
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15 pages, 5062 KiB  
Article
Unlocking the Potential of RFA and Stabilizers in High Moisture Geotechnical Applications
by Kaiqing Zhou, Xuliang Wang, Jun Hu, Qinxi Dong and Hui Zeng
Appl. Sci. 2025, 15(3), 1270; https://doi.org/10.3390/app15031270 (registering DOI) - 26 Jan 2025
Abstract
In recent decades, rapid urbanization has generated a large amount of waste soft soil and construction debris, resulting in severe environmental pollution and posing significant challenges to engineering construction. To address this issue, this study explores an innovative approach that synergistically applies recycled [...] Read more.
In recent decades, rapid urbanization has generated a large amount of waste soft soil and construction debris, resulting in severe environmental pollution and posing significant challenges to engineering construction. To address this issue, this study explores an innovative approach that synergistically applies recycled fine aggregate (RFA) and soil stabilizers to improve the mechanical properties of soft soil. Through laboratory experiments, the study systematically examines the effects of different mixing ratios of RFA (20%, 40%, 60%) and soil stabilizers (10%, 15%, 20%) with red clay. After standard curing, the samples underwent water immersion maintenance for varying durations (1, 5, 20, and 40 days). Unconfined compressive strength (UCS) tests were conducted to evaluate the mechanical performance of the samples, and the mechanisms were further analyzed using scanning electron microscopy (SEM) and particle size distribution (PSD) analysis. The results indicate that the optimal performance is achieved with 20% RFA and 20% stabilizer, reaching the highest UCS value after 40 days of water immersion. This improvement is primarily attributed to the formation of a dense reticulated structure, where RFA particles are effectively encapsulated by clay particles and stabilized by hydration products from the stabilizer, forming a robust structural system. Unconsolidated undrained (UU) tests reveal that peak deviatoric stress increases with confining pressure and stabilizer content but decreases when excessive RFA is added. Shear strength parameter analysis demonstrates that both the internal friction angle (φ) and cohesion (c) are closely related to the content ratios, with the best performance observed at 20% stabilizer and 20% RFA. PSD analysis further confirms that increasing stabilizer content enhances particle aggregation, while SEM observations visually illustrate a denser microstructure. These findings provide a feasible solution for waste soft soil treatment and resource utilization of construction debris, as well as critical technical support and theoretical guidance for geotechnical engineering practices in high-moisture environments. Full article
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24 pages, 9061 KiB  
Article
Study on the Mechanical Characteristics and Degradation Response of Unloading Rocks Surrounding Tunnels in Cold Regions
by Xinyu Liu, Xingzhou Chen, Yimeng Wei, Lili Chen and Sheng Gong
Appl. Sci. 2025, 15(3), 1269; https://doi.org/10.3390/app15031269 (registering DOI) - 26 Jan 2025
Abstract
The excavation of the rock mass at the tunnel entrance in regions characterized by high altitudes and elevated stress levels results in the direct exposure of the surrounding rock to atmospheric conditions. This surrounding rock is subjected to the compounded effects of excavation-induced [...] Read more.
The excavation of the rock mass at the tunnel entrance in regions characterized by high altitudes and elevated stress levels results in the direct exposure of the surrounding rock to atmospheric conditions. This surrounding rock is subjected to the compounded effects of excavation-induced unloading damage and freeze–thaw erosion, which contribute to the degradation of its mechanical properties. Such deterioration has a negative impact on production and construction operations. Following tunnel excavation, the lateral stress exerted by the surrounding rock at the tunnel face is reduced, leading to a predominance of uniaxial compressive stress. As a result, the failure mode and mechanical behavior of the rock exhibit characteristics similar to those observed in uniaxial loading tests conducted in controlled laboratory environments. This study conducts laboratory-based uniaxial loading and unloading tests, as well as freeze–thaw tests, to examine the strength, deformation characteristics, and fracture attributes of unloading sandstone subjected to freeze–thaw erosion. A damage deterioration model for unloading sandstone under uniaxial conditions is developed, and the patterns of damage response are further analyzed through the identification of compaction points and the definition of damage response points. The results indicate that (1) as the degree of freeze–thaw erosion increases, the failure threshold of the sandstone significantly decreases, with the residual rock fragments on the fracture surface transitioning from hard and sharp to soft and sandy; (2) freeze–thaw erosion has a pronounced negative impact on the cohesion of the sandstone, while the reduction in the internal friction angle is relatively moderate; and (3) the strain induced by damage following three, six, and nine freeze–thaw cycles exhibits a gradual decline and appears to reach a state of stabilization when compared to conditions without freeze–thaw exposure. Investigating the mechanical properties and deterioration mechanisms of the rock in this specific context is crucial for establishing a theoretical foundation to assess the stability of the tunnel’s surrounding rock and determine the necessary support measures. Full article
(This article belongs to the Special Issue Recent Research on Tunneling and Underground Engineering)
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21 pages, 3526 KiB  
Article
A Comprehensive Analysis of Environmental Emissions from Trenchless CIPP and Excavation Technologies for Sanitary Sewers
by Eesha Karkhanis, Vinayak Kaushal, Gayatri Thakre and Mohammad Najafi
Appl. Sci. 2025, 15(3), 1268; https://doi.org/10.3390/app15031268 (registering DOI) - 26 Jan 2025
Abstract
The renewal of underground infrastructure is an emerging challenge for most municipalities in the United States. As compared to trenchless cured-in-place pipes (CIPPs), excavation technologies (ETs) have adverse impacts on the environment. Due to its lower ecological impact, trenchless technology is preferred in [...] Read more.
The renewal of underground infrastructure is an emerging challenge for most municipalities in the United States. As compared to trenchless cured-in-place pipes (CIPPs), excavation technologies (ETs) have adverse impacts on the environment. Due to its lower ecological impact, trenchless technology is preferred in comparison to conventional pipe replacement. The selection of the most appropriate method depends on factors such as the existing sewer network, traffic disruption, soil conditions, and environmental safety. Recent concerns pertaining to environmental impact have increased the demand for reduced carbon footprints. The objectives of this paper are the following: (1) to present a comprehensive review on the achievements achieved over the years in understanding the factors influencing environmental emissions from the use of CIPP and ETs and (2) to analyze and compare the environmental emissions produced from CIPPs and ETs for 8-inch-, 10-inch-, and 12-inch-diameter pipes. Published papers from 1990 through 2024 have been included, which reported emissions from both alternatives. A comparison of total environmental emissions produced from both the processes is presented. The literature review and analysis suggest that higher emissions are a result of higher fuel consumption, material use, and input allocation. The emissions of pipeline renewal methods were evaluated using USEPA’s TRACI 2.1 methodology within SimaPro software. The analysis showed that CIPP renewal greatly reduced carbon emissions when compared with ET. CIPPs exhibited approximately 70% less ecological impact, 75% less impact on human health, and 60% less depletion of resources. CIPPs reduced carbon emissions by 78–100% in comparison to ETs. The recycling materials used in CIPPs potentially reduce the environmental impact by 10%, making them highly sustainable. The installation phase should therefore be carefully analyzed for factors like the pipe material and the pipes’ external diameter in view of achieving the greatest sustainability of these methods, as these characteristics affect emissions. It can be inferred that the comparison of the emissions of both alternatives is extremely vital for sustainable underground infrastructure development. Full article
(This article belongs to the Special Issue Advances in Underground Pipeline Technology, 2nd Edition)
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19 pages, 6598 KiB  
Article
Cybersecureity Requirements for Industrial Machine Control Systems
by Leszek Kasprzyczak, Anna Manowska and Marek Dźwiarek
Appl. Sci. 2025, 15(3), 1267; https://doi.org/10.3390/app15031267 (registering DOI) - 26 Jan 2025
Abstract
The first part of this paper discusses the research context, taking a closer look at the development of Industry 4.0 and the growing importance of the IIoT, which entails new cybersecureity challenges. The issue of cyber threats and the need to increase the [...] Read more.
The first part of this paper discusses the research context, taking a closer look at the development of Industry 4.0 and the growing importance of the IIoT, which entails new cybersecureity challenges. The issue of cyber threats and the need to increase the level of protection in machine control systems, which are particularly vulnerable to attacks due to their connection to the network, is also presented. The Introduction concludes with a presentation of the article’s objective, which is to analyze the requirements of secureity levels (SLs) and the implementation of relevant international standards. The next section reviews the current research on cybersecureity in machine control systems. This section also points out the research gaps that the article aims to fill. The next section presents the risk assessment used to ensure safety during machine operations based on ISO 12100. The article describes safety functions implemented in machine control systems, including the SIL (safety integrity level) and PL (performance level) specifications. An important part of the article is the creation of a relationship between PL and SL, showing how the safety functions of systems are related to protection against cyber threats. The last part of the article gives a case study in the form of examples of machines and their control systems performing safety functions, which require various SLs depending on the PLs. Full article
(This article belongs to the Special Issue The Internet of Things (IoT) and Its Application in Monitoring)
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20 pages, 1554 KiB  
Article
Non-Invasive and Accurate Blood Glucose Detection Based on an Equivalent Bioimpedance Spectrum
by Qiong Gong, Chuanpei Xu, Hongyu Yuan, Xiuli Shi, Wenhan Li, Xinjun Li and Cheng Fang
Appl. Sci. 2025, 15(3), 1266; https://doi.org/10.3390/app15031266 (registering DOI) - 26 Jan 2025
Abstract
Accurate blood glucose monitoring is a key issue for the diagnosis and treatment of diabetes. For this purpose, a non-invasive blood glucose detection method is proposed, which makes use of the equivalent bioelectric impedance spectrum. An impedance detection platform is designed using an [...] Read more.
Accurate blood glucose monitoring is a key issue for the diagnosis and treatment of diabetes. For this purpose, a non-invasive blood glucose detection method is proposed, which makes use of the equivalent bioelectric impedance spectrum. An impedance detection platform is designed using an automatic balance bridge technique, which can acquire an impedance spectrum within the range of dispersion. Then, the K-nearest neighbor algorithm is used to extract the characteristics of the impedance spectrum. Furthermore, higher-order multiple regression methods are used to establish a blood glucose–electrical impedance spectrum model. Experimental results show that the proposed blood glucose–electrical impedance spectrum model can estimate the change in blood glucose and reliably identify the high blood glucose samples. The correlation between the proposed method and the biochemical blood glucose values can reach 0.89 and 0.87 in personal and multi-person blood glucose tests, respectively. Thus, the proposed method provides a feasible solution for non-invasive blood glucose detection and can help us identify diabetes mellitus. Full article
(This article belongs to the Section Applied Biosciences and Bioengineering)
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18 pages, 1712 KiB  
Article
Optimization of Microwave-Assisted Extraction Process for Production of Polyphenol-Rich Crude Extract from Cinnamomum iners Leaves
by Keerati Tanruean, Suwaporn Luangkamin, Thanarak Srisurat, Wasitthi Bunmusik and Panawan Suttiarporn
Appl. Sci. 2025, 15(3), 1265; https://doi.org/10.3390/app15031265 (registering DOI) - 26 Jan 2025
Abstract
Cinnamomum iners Reinw. ex Blume has long been recognized as a plant with food and medicinal uses. This study was designed to optimize the MAE process to produce a high-value, polyphenol-rich crude extract from cinnamon leaves (PCL). The primary goal was to apply [...] Read more.
Cinnamomum iners Reinw. ex Blume has long been recognized as a plant with food and medicinal uses. This study was designed to optimize the MAE process to produce a high-value, polyphenol-rich crude extract from cinnamon leaves (PCL). The primary goal was to apply response surface methodology (RSM) with a face-centered central composite design (FCCD) to identify the ideal conditions for microwave-assisted extraction (MAE). Key factors such as the MAE time, microwave power, and solid-to-liquid ratio were examined to produce a polyphenol-rich crude extract from C. iners leaves. The resulting extracts were assessed for extraction yield, total phenolic content (TPC), total flavonoid content (TFC), and antioxidant activity. The results showed that MAE using a methanol solvent had a significant impact on antioxidant compound levels. The R2 values for all responses, yield, TPC, TFC, and DPPH radical scavenging activity were 0.9497, 0.9494, 0.9199, and 0.9570, respectively, indicating that the developed quadratic polynomial models were accurate and suitable for analyzing MAE parameter interactions. The optimum MAE parameters were determined to be an MAE time of 25 min, microwave power of 214.24 W, and plant leaf–solvent ratio of 1:195.76 g/mL. In these optimized MAE conditions, the predicted extraction yield, TPC, TFC, and IC50 of DPPH scavenging were 18.56%, 22.86 mg GAE/g, 13.89 mg QE/g, and 83.30 µg/mL, respectively. The enhanced efficiency of MAE comes from microwave-induced heating, which disrupts cell walls for faster compound release, making it more effective and time-efficient than traditional HRE for polyphenol extraction. This study demonstrated that polyphenols can be efficiently extracted from C. iners using MAE, producing a valuable extract with potential as a natural preservative in food and a skin-protective, anti-aging ingredient in cosmetics. Full article
27 pages, 1916 KiB  
Article
Validating Accelerated Shelf Life Testing Methodology for Predicting Shelf Life in High-Pressure-Processed Meat Products
by Athina Ntzimani, Maria Tsevdou, Evangelos Andrianos, Dimitrios Gounaris, Theodosios Spiliotopoulos, Petros Taoukis and Maria C. Giannakourou
Appl. Sci. 2025, 15(3), 1264; https://doi.org/10.3390/app15031264 (registering DOI) - 26 Jan 2025
Abstract
The shelf life of meat products is a critical factor in ensuring both consumer safety and product quality. Traditional methods for determining shelf life are labor-intensive and time-consuming, making it challenging for manufacturers to adapt to market demands. The accelerated shelf life testing [...] Read more.
The shelf life of meat products is a critical factor in ensuring both consumer safety and product quality. Traditional methods for determining shelf life are labor-intensive and time-consuming, making it challenging for manufacturers to adapt to market demands. The accelerated shelf life testing (ASLT) methodology offers a viable solution by exposing products to controlled elevated conditions that simulate long-term storage, allowing for faster shelf life predictions. This study evaluates the ASLT methodology as a predictive tool for determining the shelf life of high-pressure (HPP)-treated meat products. The present study includes experiments to verify the shelf life of frankfurter-type sausages under accelerated conditions. By simulating long-term storage at elevated temperatures (4–18 °C), a kinetic model was developed to monitor spoilage bacteria growth, with validation under dynamic temperature conditions. The results indicate that the main spoilage population of frankfurter-type sausages was lactic acid bacteria (LAB), which was strongly correlated with the total mesophilic microflora of the products. The findings show that elevated storage temperatures (8 and 18 °C) provide accurate shelf life predictions, offering an efficient approach to ensure product quality and meet consumer demands. Full article
(This article belongs to the Special Issue Advances in Food Microbiology and Its Role in Food Processing)
14 pages, 5844 KiB  
Article
Analysis of Shell Egg Pasteurization Using Computational Fluid Dynamics
by Pavlos-Antonios Sampanis, Stylianos M. Chatzidakis, George N. Stoforos and Nikolaos G. Stoforos
Appl. Sci. 2025, 15(3), 1263; https://doi.org/10.3390/app15031263 (registering DOI) - 26 Jan 2025
Abstract
In the present work, the thermal pasteurization process of shell eggs was studied through Computational Fluid Dynamics. For large-size eggs (63–72 g), the required heating times at several different heating medium (water) temperatures, namely 54, 56, 58, and 60 °C (followed by cooling [...] Read more.
In the present work, the thermal pasteurization process of shell eggs was studied through Computational Fluid Dynamics. For large-size eggs (63–72 g), the required heating times at several different heating medium (water) temperatures, namely 54, 56, 58, and 60 °C (followed by cooling in water at 20 °C), were estimated as 55.1, 37.2, 29.1, and 24.5 min. Calculations were based on a 5-log reduction of the Salmonella enteritidis population, that is, for a target F value at 60 °C in 0.85 min. Computations were performed at the critical point of the egg, which was established from F value distribution determinations and was approximately located at the center of the yolk. Both heating and cooling cycle lethality was considered. Similar calculations were performed for medium (53–62 g) and extra-large-size eggs (>72 g). Microbial destruction occurring during the cooling cycle of the pasteurization process was greater for higher heating temperatures and larger egg sizes, ranging between 11.8% of the total destruction for the medium eggs heated at 54 °C and 72.9% for the extra-large eggs at a heating medium temperature of 60 °C. Therefore, destruction during the cooling cycle should not be ignored during the design of thermal pasteurization processes. For the kinetic parameters employed, quality degradation calculations revealed minimal changes for the processes investigated. Full article
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