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Validation of ERMES 20.0 finite element code for MAST Upgrade O-X mode conversion
No full textThis study presents the validation of the frequency-domain finite element code ERMES 20.0, benchmarked against Finite Difference Time Domain (FDTD) solvers. The simulations focus on Ordinary–Extraordinary (O–X) mode conversion in the Electron Bernstein Wave (EBW) regime of the MAST Upgrade experiment. Validation is performed in terms of mode conversion efficiency and wave propagation characteristics. Several finite element formulations are tested and compared with the FDTD results. The simulations demonstrate excellent agreement between the different approaches, confirming the accuracy and robustness of ERMES 20.0 for modeling cold plasma wave interactions
Tribological behaviour of laser-textured UHMWPE under simulated dry and wet joint conditions using a biomimetic sunflower oil-hyaluronic acid lubricant
No full textUHMWPE is a widely used biomaterial for articulating components in total joint replacements (TJR), but its lifetime performance was reduced by wear and friction. To enhance the performance, surface modification was introduced. This present study investigates the effect of circular texturing combined with biomimetic lubrication on the tribological properties of UHMWPE. A laser marking machine was used to do the surface texturing on the specimen. Pin-on-disc tribometer was used to conduct tribological experimental tests under both dry and wet conditions. A refined sunflower oil-hyaluronic acid blend is the lubricant. The experimental tests were conducted with different velocities of 0.05 m/s, 0.15 m/s, and 0.25 m/s, that are match the human motions and the applied force of 60 N. The results demonstrate that lubrication significantly reduced friction in wet conditions compared to dry conditions. Textured samples exhibit a declining trend in the friction when compared to untextured samples. The wear rates exhibited a comparable trend on both the textured and lubricated specimens by showing remarkably improved wear resistance. The hybrid application of surface texturing and lubrication resulted in a significant enhancement in the tribological performance of UHMWPE, suggesting promising implications for increasing the longevity of orthopaedic implants
Machining performance analysis of Al 7075/ferrochrome metal matrix nanocomposite using uncoated carbide insert towards environmental sustainability
No full textAluminium metal matrix composites are profoundly utilized in the aerospace, automobile, and marine sectors owing to their enhanced mechanical qualities, such as a high strength-to-weight ratio and corrosion resistance. This work focuses on analysing the influence of various machining parameters, specifically cutting speed, feed rate, and depth of cut, on noise emission and hardness during the turning process of Al7075 reinforced with 5 wt.% Fe-Cr composites. The studies were conducted on a CNC lathe using uncoated carbide insert employing a Taguchi L9 orthogonal array. At run 5, with a cutting speed of 110 m/min, a feed rate of 0.1 mm/rev, and a depth of cut of 0.3 mm, a greater noise level (79.5 dB) was obtained. The maximal hardness of 167 HV was reached at run no. 3 (cutting speed: 60 m/min, feed rate: 0.15 mm/rev, and depth of cut: 0.3 mm). The ANOVA findings indicated that cutting speed significantly influences both noise emission and hardness. Multiple linear regression models for both Ne and H are found to be significant as R2 approaches 1 with p-value <0.05 and obtained optimal parameters through desirability approach. The research findings provide insights for improving machining performance during the turning of AMMC composites
A structure-preserving spline finite element solver for the cold-plasma model
No full textWe present a spline finite element solver, which preserves the Hamiltonian structure of the coldplasma model as well as several physical invariants, such as the energy, the total charge and the zero divergence of the magnetic field. The scheme is naturally adapted to Cartesian and curvilinear geometries. A key feature of the scheme is that in the presence of a time-harmonic source, it is consistent with a high-order approximation of the associated time-harmonic solution: this makes the solver intrinsically stable and long simulation runs cannot develop unphysical effects. Our implementation relies on PSYDAC, an isogeometric B-splines finite-element library that can be used to build efficient solvers based on modern numerical methods. In this paper we include an overview of the library and present an example of implementation
Nuclear energy comprehensive utilization technology and practice in China under the “carbon peak and carbon neutrality” goals
No full textIn the context of global climate change and China’s efforts to achieve the “carbon peak and carbon neutrality” goals, nuclear energy, as a clean, low-carbon, and efficient energy source, plays a significant role in the green and low-carbon transformation of the energy sector. This paper analyzes the development background of nuclear energy comprehensive utilization, explores the latest progress in technologies such as nuclear steam supply, heating, hydrogen production, seawater desalination, and waste heat utilization, and summarizes the application practices of these technologies. The study indicates that the comprehensive utilization of nuclear energy can significantly improve energy efficiency and reduce carbon emissions, providing green energy solutions for industries, transportation, and heating. However, the comprehensive utilization of nuclear energy still faces challenges such as technological potential, incomplete regulations and standards, and economic. In the future, it is necessary to intensify technological innovation, improve relevant policy support, and promote the widespread application of nuclear energy comprehensive utilization to help achieve the “carbon peak and carbon neutrality” goals and sustainable development
Retraction Notice: A brain tumor identification using convolution neural network in the deep learning
No full textWe take a zero tolerance to any situation where fraudulent research is published in our journals. As a result, this article has been retracted by the Publisher because it is suspected to be a nonsensical computer-generated publication with a number of tortured phrases and irrelevant references.
Additional measures have been implemented to prevent these issues from reoccurring.
EDP Sciences is extremely grateful to anonymous whistleblowers and the Problematic Paper Screene
Retraction Notice: Towards a Carbon Neutral Future: Integrating Renewable Sources and Energy Storage in Sustainable Energy Solutions
No full textWe take a zero tolerance to any situation where fraudulent research is published in our journals. As a result, this article has been retracted by the Publisher because it is suspected to be a nonsensical computer-generated publication with a number of tortured phrases and irrelevant references.
Additional measures have been implemented to prevent these issues from reoccurring.
EDP Sciences is extremely grateful to anonymous whistleblowers and the Problematic Paper Screene
Retraction Notice: Renewable Energy Integration for Urban Sustainability A Nanomaterial Perspective
No full textWe take a zero tolerance to any situation where fraudulent research is published in our journals. As a result, this article has been retracted by the Publisher because it is suspected to be a nonsensical computer-generated publication with a number of tortured phrases and irrelevant references.
Additional measures have been implemented to prevent these issues from reoccurring.
EDP Sciences is extremely grateful to anonymous whistleblowers and the Problematic Paper Screene
The Role of Microorganisms in the Application of Various Types of Animal Manure Solutions with Various Concentrations in the Cultivation of Lettuce
No full textThis study examined the interaction between manure type and concentration on the growth and yield of curly lettuce in a greenhouse, employing a factorial randomized block design. Four manure solutions were tested: goat (M1), cow (M2), chicken (M3), and rabbit (M4), applied at concentrations of 30%, 3%, and 0.3% (v/v). Results showed that microbial content differed by species, with rabbit and cow manures containing higher total fungal and bacterial counts than goat and chicken manures. The application of manure concentrates significantly influenced lettuce performance, improving vegetative growth (leaf number and area) and yield, with an average harvest index of greater than 0.95, which is higher than that of the control. These findings demonstrate that the effectiveness of liquid organic fertilizers depends not only on microbial abundance but also on community composition and proper dosage. Practical implications suggest that goat manure is most effective at a high concentration (30%), cow manure at a medium concentration (≈3%), rabbit manure at a low concentration (0.3%), while chicken manure remains relatively stable across concentrations. Selecting the right manure type and dosage enables farmers to harness microbial bioactivity, thereby increasing productivity and reducing their reliance on inorganic fertilizers sustainably. Overall, the study emphasizes the significance of manure type and application level in maximizing curly lettuce yield while promoting sustainable horticultural practices
Teachers' Competence and Readiness in Eco-Green Mathematics and Environmental Sustainability Literacy: An Empirical Study in Digital-AI-Based Learning
No full textThis study investigates mathematics teachers' competencies and readiness in integrating Eco-Green Mathematics, sustainability literacy, and digital-AI-based learning. A quantitative survey was conducted with 1,073 mathematics teachers from 33 provinces in Indonesia, representing diverse educational levels. Data were collected using a five-point Likert scale questionnaire covering four dimensions: (A) understanding of Eco-Green Mathematics and sustainability literacy, (B) competence in eco-green mathematics supported by AI, (C) readiness for digital-AI implementation in teaching, and (D) perspectives on sustainability-oriented mathematics literacy. Descriptive statistics were applied to examine percentages and distribution patterns. Findings reveal a consistent trend: teachers show high conceptual awareness but limited practical application. In Aspek A, 78.8% of teachers recognized the importance of eco-green integration, but only 33.6% understood its concepts. In Aspek B, nearly half occasionally used environmental data in teaching, while fewer than 10% regularly employed AI. In Aspek C, 41.5% used LMS occasionally, and only 9.7% frequently applied AI tools, despite 79% perceiving AI as effective. In Aspek D, most teachers demonstrated moderate sustainability-oriented numeracy, with 46.9% linking mathematics to global issues occasionally. A gap between positive attitudes and practical competencies, suggesting further research on modules, practice-based training, and institutional support for Eco-Green Mathematics with digital-AI integration