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Search Results (1,174)

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22 pages, 5509 KiB  
Article
Kinetic Analysis of Thermal Degradation of Styrene–Butadiene Rubber Compounds Under Different Aging Conditions
by Imen Hamouda, Masoud Tayefi, Mostafa Eesaee, Meysam Hassanipour and Phuong Nguyen-Tri
J. Compos. Sci. 2025, 9(8), 420; https://doi.org/10.3390/jcs9080420 - 6 Aug 2025
Abstract
This study examined the impact of storage and operational aging on the thermal stability, structural degradation, and electrical properties of styrene–butadiene rubber (SBR) compound by analyzing three distinct materials: a laboratory-stored sample, an operationally aged one, and an original unaged reference. Thermal degradation [...] Read more.
This study examined the impact of storage and operational aging on the thermal stability, structural degradation, and electrical properties of styrene–butadiene rubber (SBR) compound by analyzing three distinct materials: a laboratory-stored sample, an operationally aged one, and an original unaged reference. Thermal degradation was analyzed through thermogravimetric analysis (TGA), which examined weight loss as a function of temperature and time at different heating rates. Results showed that the onset temperature and peak position in the 457 °C to 483 °C range remained stable. The activation energy (Ea) was determined using the Kissinger–Akahira–Sunose (KAS), Flynn–Wall–Ozawa (FWO), and Friedman methods, with the original unaged sample’s (OUS) Ea averaging 203.7 kJ/mol, decreasing to 163.47 kJ/mol in the laboratory-stored sample (LSS), and increasing to 224.18 kJ/mol in the operationally aged sample (OAS). The Toop equation was applied to estimate the thermal degradation lifetime at a 50% conversion rate. Since the material had been exposed to electricity, the evolution of electrical conductivity was studied and found to have remained stable after storage at around 0.070 S/cm. However, after operational aging, it showed a considerable increase in conductivity, to 0.321 S/cm. Scanning Electron Microscopy (SEM) was employed to analyze microstructural degradation and chemical changes, providing insights into the impact of aging on thermal stability and electrical properties. Full article
(This article belongs to the Special Issue Mechanical Properties of Composite Materials and Joints)
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10 pages, 220 KiB  
Perspective
Reframing Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS): Biological Basis of Disease and Recommendations for Supporting Patients
by Priya Agarwal and Kenneth J. Friedman
Healthcare 2025, 13(15), 1917; https://doi.org/10.3390/healthcare13151917 - 5 Aug 2025
Abstract
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a worldwide challenge. There are an estimated 17–24 million patients worldwide, with an estimated 60 percent or more who have not been diagnosed. Without a known cure, no specific curative medication, disability lasting years to being life-long, [...] Read more.
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a worldwide challenge. There are an estimated 17–24 million patients worldwide, with an estimated 60 percent or more who have not been diagnosed. Without a known cure, no specific curative medication, disability lasting years to being life-long, and disagreement among healthcare providers as to how to most appropriately treat these patients, ME/CFS patients are in need of assistance. Appropriate healthcare provider education would increase the percentage of patients diagnosed and treated; however, in-school healthcare provider education is limited. To address the latter issue, the New Jersey Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Association (NJME/CFSA) has developed an independent, incentive-driven, learning program for students of the health professions. NJME/CFSA offers a yearly scholarship program in which applicants write a scholarly paper on an ME/CFS-related topic. The efficacy of the program is demonstrated by the 2024–2025 first place scholarship winner’s essay, which addresses the biological basis of ME/CFS and how the healthcare provider can improve the quality of life of ME/CFS patients. For the reader, the essay provides an update on what is known regarding the biological underpinnings of ME/CFS, as well as a medical student’s perspective as to how the clinician can provide care and support for ME/CFS patients. The original essay has been slightly modified to demonstrate that ME/CFS is a worldwide problem and for publication. Full article
35 pages, 1233 KiB  
Review
Emerging Strategies for Targeting Angiogenesis and the Tumor Microenvironment in Gastrointestinal Malignancies: A Comprehensive Review
by Emily Nghiem, Briana Friedman, Nityanand Srivastava, Andrew Takchi, Mahshid Mohammadi, Dior Dedushi, Winfried Edelmann, Chaoyuan Kuang and Fernand Bteich
Pharmaceuticals 2025, 18(8), 1160; https://doi.org/10.3390/ph18081160 - 5 Aug 2025
Abstract
Gastrointestinal (GI) cancers represent a significant global health burden, with high morbidity and mortality often linked to late-stage detection and metastatic disease. The progression of these malignancies is critically driven by angiogenesis, the formation of new blood vessels, and the surrounding dynamic tumor [...] Read more.
Gastrointestinal (GI) cancers represent a significant global health burden, with high morbidity and mortality often linked to late-stage detection and metastatic disease. The progression of these malignancies is critically driven by angiogenesis, the formation of new blood vessels, and the surrounding dynamic tumor microenvironment (TME), a complex ecosystem comprising various cell types and non-cellular components. This comprehensive review, based on a systematic search of the PubMed database, synthesizes the existing literature to define the intertwined roles of angiogenesis and the TME in GI tumorigenesis. The TME’s influence creates conditions favorable for tumor growth, invasion, and metastasis, but sometimes induces resistance to current therapies. Available therapeutic strategies for inhibiting angiogenesis involve antibodies and oral tyrosine kinase inhibitors, while immune modulation within the tumor microenvironment is mainly achieved through checkpoint inhibitor antibodies and chemotherapy. Creative emerging strategies encompassing cellular therapies, bispecific antibodies, and new targets such as CD40, DLL4, and Ang2, amongst others, are focused on inhibiting proangiogenic pathways more profoundly, reversing resistance to prior drugs, and modulating the TME to enhance therapeutic efficacy. A deeper understanding of the complex interactions between components of the TME is crucial for addressing the unmet need for novel and effective therapeutic interventions against aggressive GI cancers. Full article
(This article belongs to the Special Issue Multitargeted Compounds: A Promising Approach in Medicinal Chemistry)
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15 pages, 219 KiB  
Article
Religious Anti-Judaism, Racial Antisemitism, and Hebrew Catholicism: A Critical Analysis of the Work of Elias Friedman
by Emma O’Donnell Polyakov
Religions 2025, 16(8), 1007; https://doi.org/10.3390/rel16081007 - 4 Aug 2025
Viewed by 103
Abstract
This article analyzes the work of Fr. Elias Friedman, whose legacy of theological work on Jewish identity and Jewish conversion to Catholicism serves as the foundation of the Association of Hebrew Catholics, of which he is the founder. Friedman frames his work as [...] Read more.
This article analyzes the work of Fr. Elias Friedman, whose legacy of theological work on Jewish identity and Jewish conversion to Catholicism serves as the foundation of the Association of Hebrew Catholics, of which he is the founder. Friedman frames his work as a sensitive approach to Jewish identity and Catholic faith, but as this paper demonstrates, his work reveals a reiteration of some of the most entrenched and historically devastating tropes of Christian anti-Judaism, as well as racial antisemitism. This article presents three main arguments. First, it demonstrates that Friedman’s work evidences a theological anti-Judaism characteristic of Catholicism prior to the Second Vatican Council, which he maintained firmly even after the theological revision of Vatican II rejected such views; and furthermore, that his work also expresses an antisemitism that reflects the modern racial antisemitism adopted by the Nazi regime. Second, this article examines the positive reception of Friedman’s work, as evidenced not only in the revered position he holds within the Association for Hebrew Catholics, but also by the nihil obstat and imprimatur on both of Friedman’s monographs, that is, the official stamp of ecclesiastical approval within the Catholic Church, which declares that the work is “free of doctrinal and moral error.” It proposes that these factors evidence the uncritical reception of his work not only within the Association of Hebrew Catholics, but also on behalf of the institutional Catholic Church. Third, it raises the question of the extent to which Friedman’s identity as a Jewish convert to Catholicism is relevant in the analysis and reception of his work. It argues that his Jewish identity makes his concoction of religious anti-Judaism and racial antisemitism particularly potent, rendering anodyne even the most virulently antisemitic of his statements. Full article
(This article belongs to the Section Religions and Theologies)
40 pages, 8651 KiB  
Article
Cosmic Evolution Optimization: A Novel Metaheuristic Algorithm for Numerical Optimization and Engineering Design
by Rui Wang, Zhengxuan Jiang and Guowen Ding
Mathematics 2025, 13(15), 2499; https://doi.org/10.3390/math13152499 - 3 Aug 2025
Viewed by 134
Abstract
This study proposes a novel metaheuristic algorithm, Cosmic Evolution Optimization (CEO), for numerical optimization and engineering design. Inspired by the cosmic evolution process, CEO simulates physical phenomena including cosmic expansion, universal gravitation, stellar system interactions, and celestial orbital resonance.The algorithm introduces a multi-stellar [...] Read more.
This study proposes a novel metaheuristic algorithm, Cosmic Evolution Optimization (CEO), for numerical optimization and engineering design. Inspired by the cosmic evolution process, CEO simulates physical phenomena including cosmic expansion, universal gravitation, stellar system interactions, and celestial orbital resonance.The algorithm introduces a multi-stellar framework system, which incorporates search agents into distinct subsystems to perform simultaneous exploration or exploitation behaviors, thereby enhancing diversity and parallel exploration capabilities. Specifically, the CEO algorithm was compared against ten state-of-the-art metaheuristic algorithms on 29 typical unconstrained benchmark problems from CEC2017 across different dimensions and 13 constrained real-world optimization problems from CEC2020. Statistical validations through the Friedman test, the Wilcoxon rank-sum test, and other statistical methods have confirmed the competitiveness and effectiveness of the CEO algorithm. Notably, it achieved a comprehensive Friedman rank of 1.28/11, and the winning rate in the Wilcoxon rank-sum tests exceeded 80% in CEC2017. Furthermore, CEO demonstrated outstanding performance in practical engineering applications such as robot path planning and photovoltaic system parameter extraction, further verifying its efficiency and broad application potential in solving real-world engineering challenges. Full article
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35 pages, 9112 KiB  
Article
Enhanced Methodology for Peptide Tertiary Structure Prediction Using GRSA and Bio-Inspired Algorithm
by Diego A. Soto-Monterrubio, Hernán Peraza-Vázquez, Adrián F. Peña-Delgado and José G. González-Hernández
Int. J. Mol. Sci. 2025, 26(15), 7484; https://doi.org/10.3390/ijms26157484 - 2 Aug 2025
Viewed by 179
Abstract
Recent advancements have been made in the precise prediction of protein structures within the Protein Folding Problem (PFP), particularly in relation to minimizing the energy function to achieve stable and biologically relevant protein structures. This problem is classified as NP-hard within computational theory, [...] Read more.
Recent advancements have been made in the precise prediction of protein structures within the Protein Folding Problem (PFP), particularly in relation to minimizing the energy function to achieve stable and biologically relevant protein structures. This problem is classified as NP-hard within computational theory, necessitating the development of various techniques and algorithms. Bio-inspired algorithms have proven effective in addressing NP-hard challenges in practical applications. This study introduces a novel hybrid algorithm, termed GRSABio, which integrates the strategies of Jumping Spider Algorithm (JSOA) with the Golden Ratio Simulated Annealing (GRSA) for peptide prediction. Furthermore, the GRSABio algorithm incorporates a Convolutional Neural Network for fragment prediction (FCNN), forms an enhanced methodology called GRSABio-FCNN. This integrated framework achieves improved structure refinement based on energy for protein prediction. The proposed enhanced GRSABio-FCNN approach was applied to a dataset of 60 peptides. The Wilcoxon and Friedman statistics test were employed to compare the GRSABio-FCNN results against recent state-of-the-art-approaches. The results of these tests indicate that the GRSABio-FCNN approach is competitive with state-of-the-art methods for peptides up to 50 amino acids in length and surpasses leading PFP algorithms for peptides with up to 30 amino acids. Full article
(This article belongs to the Special Issue Advances in Biomathematics, Computational Biology, and Bioengineering)
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49 pages, 24339 KiB  
Article
An Enhanced Slime Mould Algorithm Based on Best–Worst Management for Numerical Optimization Problems
by Tongzheng Li, Hongchi Meng, Dong Wang, Bin Fu, Yuanyuan Shao and Zhenzhong Liu
Biomimetics 2025, 10(8), 504; https://doi.org/10.3390/biomimetics10080504 - 1 Aug 2025
Viewed by 256
Abstract
The Slime Mould Algorithm (SMA) is a widely used swarm intelligence algorithm. Encouraged by the theory of no free lunch and the inherent shortcomings of the SMA, this work proposes a new variant of the SMA, called the BWSMA, in which three improvement [...] Read more.
The Slime Mould Algorithm (SMA) is a widely used swarm intelligence algorithm. Encouraged by the theory of no free lunch and the inherent shortcomings of the SMA, this work proposes a new variant of the SMA, called the BWSMA, in which three improvement mechanisms are integrated. The adaptive greedy mechanism is used to accelerate the convergence of the algorithm and avoid ineffective updates. The best–worst management strategy improves the quality of the population and increases its search capability. The stagnant replacement mechanism prevents the algorithm from falling into a local optimum by replacing stalled individuals. In order to verify the effectiveness of the proposed method, this paper conducts a full range of experiments on the CEC2018 test suite and the CEC2022 test suite and compares BWSMA with three derived algorithms, eight SMA variants, and eight other improved algorithms. The experimental results are analyzed using the Wilcoxon rank-sum test, the Friedman test, and the Nemenyi test. The results indicate that the BWSMA significantly outperforms these compared algorithms. In the comparison with the SMA variants, the BWSMA obtained average rankings of 1.414, 1.138, 1.069, and 1.414. In comparison with other improved algorithms, the BWSMA obtained average rankings of 2.583 and 1.833. Finally, the applicability of the BWSMA is further validated through two structural optimization problems. In conclusion, the proposed BWSMA is a promising algorithm with excellent search accuracy and robustness. Full article
(This article belongs to the Special Issue Nature-Inspired Metaheuristic Optimization Algorithms 2025)
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18 pages, 3493 KiB  
Article
Red-Billed Blue Magpie Optimizer for Modeling and Estimating the State of Charge of Lithium-Ion Battery
by Ahmed Fathy and Ahmed M. Agwa
Electrochem 2025, 6(3), 27; https://doi.org/10.3390/electrochem6030027 - 31 Jul 2025
Viewed by 196
Abstract
The energy generated from renewable sources has an intermittent nature since solar irradiation and wind speed vary continuously. Hence, their energy should be stored to be utilized throughout their shortage. There are various forms of energy storage systems while the most widespread technique [...] Read more.
The energy generated from renewable sources has an intermittent nature since solar irradiation and wind speed vary continuously. Hence, their energy should be stored to be utilized throughout their shortage. There are various forms of energy storage systems while the most widespread technique is the battery storage system since its cost is low compared to other techniques. Therefore, batteries are employed in several applications like power systems, electric vehicles, and smart grids. Due to the merits of the lithium-ion (Li-ion) battery, it is preferred over other kinds of batteries. However, the accuracy of the Li-ion battery model is essential for estimating the state of charge (SOC). Additionally, it is essential for consistent simulation and operation throughout various loading and charging conditions. Consequently, the determination of real battery model parameters is vital. An innovative application of the red-billed blue magpie optimizer (RBMO) for determining the model parameters and the SOC of the Li-ion battery is presented in this article. The Shepherd model parameters are determined using the suggested optimization algorithm. The RBMO-based modeling approach offers excellent execution in determining the parameters of the battery model. The suggested approach is compared to other programmed algorithms, namely dandelion optimizer, spider wasp optimizer, barnacles mating optimizer, and interior search algorithm. Moreover, the suggested RBMO is statistically evaluated using Kruskal–Wallis, ANOVA tables, Friedman rank, and Wilcoxon rank tests. Additionally, the Li-ion battery model estimated via the RBMO is validated under variable loading conditions. The fetched results revealed that the suggested approach achieved the least errors between the measured and estimated voltages compared to other approaches in two studied cases with values of 1.4951 × 10−4 and 2.66176 × 10−4. Full article
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11 pages, 378 KiB  
Entry
The Application of Viscoelastic Testing in Patient Blood Management
by Mordechai Hershkop, Behnam Rafiee and Mark T. Friedman
Encyclopedia 2025, 5(3), 110; https://doi.org/10.3390/encyclopedia5030110 - 31 Jul 2025
Viewed by 231
Definition
Patient blood management (PBM) is a multidisciplinary approach aimed at improving patient outcomes through targeted anemia treatment that minimizes allogeneic blood transfusions, employs blood conservation techniques, and avoids inappropriate use of blood product transfusions. Viscoelastic testing (VET) techniques, such as thromboelastography (TEG) and [...] Read more.
Patient blood management (PBM) is a multidisciplinary approach aimed at improving patient outcomes through targeted anemia treatment that minimizes allogeneic blood transfusions, employs blood conservation techniques, and avoids inappropriate use of blood product transfusions. Viscoelastic testing (VET) techniques, such as thromboelastography (TEG) and rotational thromboelastometry (ROTEM), have led to significant advancements in PBM. These techniques offer real-time whole-blood assessment of hemostatic function. This provides the clinician with a more complete hemostasis perspective compared to that provided by conventional coagulation tests (CCTs), such as the prothrombin time (PT) and the activated partial thromboplastin time (aPTT), which only assess plasma-based coagulation. VET does this by mapping the complex processes of clot formation, stability, and breakdown (i.e., fibrinolysis). As a result of real-time whole-blood coagulation assessment during hemorrhage, hemostasis can be achieved through targeted transfusion therapy. This approach helps fulfill an objective of PBM by helping to reduce unnecessary transfusions. However, challenges remain that limit broader adoption of VET, particularly in hospital settings. Of these, standardization and the high cost of the devices are those that are faced the most. This discussion highlights the potential of VET application in PBM to guide blood-clotting therapies and improve outcomes in patients with coagulopathies from various causes that result in hemorrhage. Another aim of this discussion is to highlight the limitations of implementing these technologies so that appropriate measures can be taken toward their wider integration into clinical use. Full article
(This article belongs to the Section Medicine & Pharmacology)
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15 pages, 792 KiB  
Article
Koffka Ring Perception in Digital Environments with Brightness Modulation
by Mile Matijević, Željko Bosančić and Martina Hajdek
Appl. Sci. 2025, 15(15), 8501; https://doi.org/10.3390/app15158501 (registering DOI) - 31 Jul 2025
Viewed by 134
Abstract
Various parameters and observation conditions contribute to the emergence of color. This phenomenon poses a challenge in modern visual communication systems, which are continuously being enhanced through new insights gained from research into specific psychophysical effects. One such effect is the psychophysical phenomenon [...] Read more.
Various parameters and observation conditions contribute to the emergence of color. This phenomenon poses a challenge in modern visual communication systems, which are continuously being enhanced through new insights gained from research into specific psychophysical effects. One such effect is the psychophysical phenomenon of simultaneous contrast. Nearly 90 years ago, Kurt Koffka described one of the earliest illusions related to simultaneous contrast. This study examined the perception of gray tone variations in the Koffka ring against different background color combinations (red, blue, green) displayed on a computer screen. The intensity of the effect was measured using lightness difference ΔL00 across light-, medium-, and dark-gray tones. The results were analyzed using descriptive statistics, while statistically significant differences were determined using the Friedman ANOVA and post hoc Wilcox tests. The strongest visual effect was observed the for dark-gray tones of the Koffka ring on blue/green and red/green backgrounds, indicating that perceptual organization and spatial parameters influence the illusion’s magnitude. The findings suggest important implications for digital media design, where understanding these effects can help avoid unintended color tone distortions caused by simultaneous contrast. Full article
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18 pages, 5270 KiB  
Article
Co-Pyrolysis of Bamboo and Rice Straw Biomass with Polyethylene Plastic: Characterization, Kinetic Evaluation, and Synergistic Interaction Analysis
by Munir Hussain, Vikul Vasudev, Shri Ram, Sohail Yasin, Nouraiz Mushtaq, Menahil Saleem, Hafiz Tanveer Ashraf, Yanjun Duan, Muhammad Ali and Yu Bin
Polymers 2025, 17(15), 2063; https://doi.org/10.3390/polym17152063 - 29 Jul 2025
Viewed by 302
Abstract
This study investigates the co-pyrolysis behavior of two lignocellulosic biomass blends, bamboo (B), and rice straw (R) with a plastic polyethylene (P). A total of 15 samples, including binary and ternary blends, were analyzed. Firstly, X-ray diffraction (XRD) analysis was performed to reveal [...] Read more.
This study investigates the co-pyrolysis behavior of two lignocellulosic biomass blends, bamboo (B), and rice straw (R) with a plastic polyethylene (P). A total of 15 samples, including binary and ternary blends, were analyzed. Firstly, X-ray diffraction (XRD) analysis was performed to reveal high crystallinity in the B25R75 blend (I/Ic = 13.39). Whereas, the polyethylene samples showed persistent ZrP2O7 and lazurite phases (I/Ic up to 3.12) attributed to additives introduced during the manufacturing of the commercial plastic feedstock. In addition, scanning electron microscopy with energy-dispersive X-ray (SEM-EDX) spectroscopy was performed to characterize the surface morphology and elemental composition of the feedstock. Moreover, thermogravimetric analysis (TGA) was employed at temperatures up to 700 °C at three different heating rates (5, 10, and 20 °C/min) under pyrolysis conditions. Kinetic analysis used TGA data to calculate activation energy via Friedman’s isoconversional method, and the blended samples exhibited a decrease in activation energy compared to the individual components. Furthermore, the study evaluated transient interaction effects among the components by assessing the deviation between experimental and theoretical weight loss. This revealed the presence of significant synergistic behavior in certain binary and ternary blends. The results demonstrate that co-pyrolysis of bamboo and rice straw with polyethylene enhances thermal decomposition efficiency and provides a more favorable energy recovery route. Full article
(This article belongs to the Topic Biomass for Energy, Chemicals and Materials)
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46 pages, 125285 KiB  
Article
ROS-Based Autonomous Driving System with Enhanced Path Planning Node Validated in Chicane Scenarios
by Mohamed Reda, Ahmed Onsy, Amira Y. Haikal and Ali Ghanbari
Actuators 2025, 14(8), 375; https://doi.org/10.3390/act14080375 - 27 Jul 2025
Viewed by 195
Abstract
In modern vehicles, Autonomous Driving Systems (ADSs) are designed to operate partially or fully without human intervention. The ADS pipeline comprises multiple layers, including sensors, perception, localization, mapping, path planning, and control. The Robot Operating System (ROS) is a widely adopted framework that [...] Read more.
In modern vehicles, Autonomous Driving Systems (ADSs) are designed to operate partially or fully without human intervention. The ADS pipeline comprises multiple layers, including sensors, perception, localization, mapping, path planning, and control. The Robot Operating System (ROS) is a widely adopted framework that supports the modular development and integration of these layers. Among them, the path-planning and control layers remain particularly challenging due to several limitations. Classical path planners often struggle with non-smooth trajectories and high computational demands. Meta-heuristic optimization algorithms have demonstrated strong theoretical potential in path planning; however, they are rarely implemented in real-time ROS-based systems due to integration challenges. Similarly, traditional PID controllers require manual tuning and are unable to adapt to system disturbances. This paper proposes a ROS-based ADS architecture composed of eight integrated nodes, designed to address these limitations. The path-planning node leverages a meta-heuristic optimization framework with a cost function that evaluates path feasibility using occupancy grids from the Hector SLAM and obstacle clusters detected through the DBSCAN algorithm. A dynamic goal-allocation strategy is introduced based on the LiDAR range and spatial boundaries to enhance planning flexibility. In the control layer, a modified Pure Pursuit algorithm is employed to translate target positions into velocity commands based on the drift angle. Additionally, an adaptive PID controller is tuned in real time using the Differential Evolution (DE) algorithm, ensuring robust speed regulation in the presence of external disturbances. The proposed system is practically validated on a four-wheel differential drive robot across six scenarios. Experimental results demonstrate that the proposed planner significantly outperforms state-of-the-art methods, ranking first in the Friedman test with a significance level less than 0.05, confirming the effectiveness of the proposed architecture. Full article
(This article belongs to the Section Control Systems)
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15 pages, 3051 KiB  
Article
Study on the Kinetics of Carbothermic Reduction of Stainless Steel Dust by Walnut Shell Biochar
by Guoyu Cui, Xiang Zhang, Yanghui Xu, Guojun Ma, Dingli Zheng and Ju Xu
Metals 2025, 15(8), 835; https://doi.org/10.3390/met15080835 - 26 Jul 2025
Viewed by 222
Abstract
Stainless steel dust (SSD) is a by-product generated during the smelting process of stainless steel, which is rich in valuable metals such as Fe, Cr, Ni, and Mn. To optimize the carbothermic reduction process of SSD, this study first conducted the thermodynamic analysis [...] Read more.
Stainless steel dust (SSD) is a by-product generated during the smelting process of stainless steel, which is rich in valuable metals such as Fe, Cr, Ni, and Mn. To optimize the carbothermic reduction process of SSD, this study first conducted the thermodynamic analysis of the carbothermic reduction of SSD and then employed walnut shell biochar as a reductant with non-isothermal thermogravimetric analysis with linear heating rates of 5 °C/min, 10 °C/min, 15 °C/min, and 20 °C/min. The activation energies of the carbothermic reduction reactions were calculated using the FWO method, KAS method, and Friedman method, respectively. Subsequently, the corresponding kinetic models were fitted and matched using the Málek method. The results indicate that before 600 °C, the direct reduction of SSD by carbon plays a dominant role. As the temperature increases, the indirect reduction becomes the main reduction reaction for SSD due to the generation of CO. The activation energies calculated by the Flynn–Wall–Ozawa (FWO) method, Kissinger–Akahira–Sunose (KAS) method, and Friedman method are 412.120 kJ/mol, 416.930 kJ/mol, and 411.778 kJ/mol, respectively, showing close values and a general trend of increasing activation energy as the conversion rate increased from 10% to 90%. Moreover, the reduction reaction is staged. In the conversion range of 10% to 50%, the carbothermic reduction reaction conforms to the shrinking core model within phase boundary reactions, coded as R1/4. In the conversion range of 50% to 60%, it conforms to the shrinking core model within phase boundary reactions, coded as R1/2; in the conversion range of 60% to 90%, the carbothermic reduction reaction follows the second-order chemical reaction model, coded as F2. Full article
(This article belongs to the Special Issue Separation, Reduction, and Metal Recovery in Slag Metallurgy)
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16 pages, 261 KiB  
Article
A Six-Year Longitudinal Study of Psychological Distress, Depression, Anxiety, and Internet Addiction Among Students at One Medical Faculty
by Meltem Akdemir, Yonca Sonmez, Yesim Yigiter Şenol, Erol Gurpinar and Mehmet Rifki Aktekin
Healthcare 2025, 13(14), 1750; https://doi.org/10.3390/healthcare13141750 - 19 Jul 2025
Viewed by 279
Abstract
Background: Medical education is considered one of the most academically and emotionally demanding training programs. Throughout their education, medical students are exposed to various factors that can lead to psychological distress, depression, and anxiety. The aim of this longitudinal study was to [...] Read more.
Background: Medical education is considered one of the most academically and emotionally demanding training programs. Throughout their education, medical students are exposed to various factors that can lead to psychological distress, depression, and anxiety. The aim of this longitudinal study was to examine the changes in psychological distress, depression, anxiety levels and internet addiction among medical students throughout their six-year education and to identify the contributing factors. Methods: The study cohort consisted of 282 students who enrolled in the medical faculty in the 2017–2018 academic year. A questionnaire including sociodemographic characteristics, the General Health Questionnaire-12 (GHQ-12), Beck Depression Inventory (BDI), State–Trait Anxiety Inventory (STAI), and Young Internet Addiction Test (IAT) was administered to the students during the first week of their education. The same questionnaire was readministered at the end of the third and sixth years. Friedman’s variance analysis was used to compare measurement data across the three time points, while Cochran’s Q Test was employed for categorical variables. Results: The median scores of the GHQ-12, BDI, S-Anxiety, and IAT significantly increased from the first to the sixth year (p < 0.05). The prevalence of depressive symptoms, S-Anxiety, and risky internet use significantly increased from the first to the final year, particularly between the third and sixth years. According to logistic regression analysis based on sixth-year data, students whose fathers were university graduates, who had been diagnosed with COVID-19, and who were dissatisfied with their social lives were found to be at increased risk for psychological distress and depression. Students with high parental expectations were found to be at risk of depression and S-anxiety. Those dissatisfied with their occupational choice were at risk for both psychological distress and S-anxiety. Conclusions: It was found that the mental health of medical students deteriorated during their education, especially during the clinical years. Given that these students will be responsible for protecting and improving public health in the future, it is essential to prioritize their own mental well-being. Interventions aimed at preserving the mental health of medical students should be planned. Full article
(This article belongs to the Section Preventive Medicine)
34 pages, 3135 KiB  
Article
Effects of Transcutaneous Electroacupuncture Stimulation (TEAS) on Eyeblink, EEG, and Heart Rate Variability (HRV): A Non-Parametric Statistical Study Investigating the Potential of TEAS to Modulate Physiological Markers
by David Mayor, Tony Steffert, Paul Steinfath, Tim Watson, Neil Spencer and Duncan Banks
Sensors 2025, 25(14), 4468; https://doi.org/10.3390/s25144468 - 18 Jul 2025
Viewed by 523
Abstract
This study investigates the effects of transcutaneous electroacupuncture stimulation (TEAS) on eyeblink rate, EEG, and heart rate variability (HRV), emphasising whether eyeblink data—often dismissed as artefacts—can serve as useful physiological markers. Sixty-six participants underwent four TEAS sessions with different stimulation frequencies (2.5, 10, [...] Read more.
This study investigates the effects of transcutaneous electroacupuncture stimulation (TEAS) on eyeblink rate, EEG, and heart rate variability (HRV), emphasising whether eyeblink data—often dismissed as artefacts—can serve as useful physiological markers. Sixty-six participants underwent four TEAS sessions with different stimulation frequencies (2.5, 10, 80, and 160 pps, with 160 pps as a low-amplitude sham). EEG, ECG, PPG, and respiration data were recorded before, during, and after stimulation. Using non-parametric statistical analyses, including Friedman’s test, Wilcoxon, Conover–Iman, and bootstrapping, the study found significant changes across eyeblink, EEG, and HRV measures. Eyeblink laterality, particularly at 2.5 and 10 pps, showed strong frequency-specific effects. EEG power asymmetry and spectral centroids were associated with HRV indices, and 2.5 pps stimulation produced the strongest parasympathetic HRV response. Blink rate correlated with increased sympathetic and decreased parasympathetic activity. Baseline HRV measures, such as lower heart rate, predicted participant dropout. Eyeblinks were analysed using BLINKER software (v. 1.1.0), and additional complexity and entropy (‘CEPS-BLINKER’) metrics were derived. These measures were more predictive of adverse reactions than EEG-derived indices. Overall, TEAS modulates multiple physiological markers in a frequency-specific manner. Eyeblink characteristics, especially laterality, may offer valuable insights into autonomic function and TEAS efficacy in neuromodulation research. Full article
(This article belongs to the Section Biosensors)
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