The article considers the use of numerical methods in the SCILAB environment for modeling particle trajectories under the influence of various physical forces: gravity, electromagnetism and friction. The simulations conducted allowed us to study the dynamics of particle motion in three-dimensional space under various conditions, in particular the influence of forces on changing trajectories and stabilizing motion. The results obtained demonstrate the effectiveness of using the SCILAB software as a tool for numerical modeling of complex physical systems, which ensures the accuracy of calculations and clarity of visualization. It should also be noted that the use of such approaches allows us to study particle motion in various fields of science and technology, in particular in physics, engineering and systems analysis. Numerical methods implemented in SCILAB provide flexibility in taking into account the initial conditions and parameters of the system, opening up prospects for further research into complex interactions in multicomponent systems.

Problems solved by computational mechanics are becoming increasingly complex, involving diverse geometries, boundary conditions, and materials. Recent studies show that combining different numerical methodologies is one of the most effective approaches for advancing fracture simulation. In this context, this work presents the implementation of Peridynamics (PD) theory in the ANSYS LSDYNA finite element software, enabling the creation of hybrid models called PD-DYNA. PD is a nonlocal theory in which particles are connected to one another, forming a continuum representation. Since the theory is not based on classical continuum mechanics, fracture simulation occurs naturally through bond breakage. To assess the results, comparisons with reference problems using the Finite Element Method are carried out to verify the implementation, while benchmark cases are employed to validate the fracture behavior of brittle materials. The results highlight the computational efficiency and applicability of the proposed implementation in structural analyses. This work emphasizes the potential of integrating PD and LS-DYNA as an advanced tool for fracture analysis in material engineering, pointing toward promising applications in new materials, varied loading conditions, and three-dimensional problems.

An innovative statistical framework with properties and univariate analysis in physical education, reliability engineering, and radiation sector

Analytical framework and reservoir engineering of coherence freezing in single-qubit systems

This study utilized a descriptive correlational design in order to describe and examine needs of teachers in Science and Technology and Engineering (STEM) Curriculum among public secondary schools in the Congressional District 1 within the Schools Division of Nueva Ecija. It was participated by 70 STEM teachers who were purposively drawn by the researcher. Developed-survey-questionnaire was utilized. Results reveal that there is reliance on computers and smartphones which emphasize the importance of accessibility in education which provides essential access to information, online resources and communication platforms that enhance learning. In addition, it found out that there are critical aspects of STEM education which put emphasis on the need for comprehensive content, innovative instructional strategies, and well-prepared educators. Further, educational strategies should focus on developing these skills through active, inquiry-based learning approaches, thereby preparing students to tackle complex scientific challenges and fostering a deeper understanding of the subject matter. Also, there was a significant correlation between instructional designs and science process skills highlights the need for innovative teaching strategies that actively engage students in inquiry-based learning.

This project focuses on the design, modelling, and analysis of an Electric Vehicle (EV) chassis frame to ensure optimal safety and performance under real-world conditions. Recognizing the critical challenge of designing an EV chassis strong enough to support heavy battery packs and powerful motors while maintaining a lightweight structure, the study employs advanced Computer-Aided Design (CAD) and Finite Element Analysis (FEA) methodologies. The methodology involves creating a precise 3D model using industry-standard CAD software (e.g., AutoCAD, CATIA, or SolidWorks), followed by rigorous stress and deformation simulations using the ANSYS FEA tool. The core of the work lies in leveraging these detailed simulations to guide subsequent design optimization for enhanced safety and structural efficiency. Given the global pivot toward EVs as the future of transportation, this project is highly relevant and timely, positioning the work at the forefront of contemporary automotive design challenges. It serves as a practical demonstration of advanced engineering principles and computational tools, offering a focused contribution to the development of safer and more efficient EV structures through rigorous, computer-aided engineering analysis.

At the initial stages of design, performing a complete 3D analysis of the processes occurring in the elements of cooling systems of modern high-temperature engines can be either very costly in terms of computational processes, or even impossible due to the lack of necessary geometric 3D models at these design stages. But already at the initial stages of design, it is very important to determine the rational characteristics of the cooling systems of the elements of such engines as reliably as possible, since it is often on the basis of such assessments that the most important technical and economic decisions are made that determine the final characteristics of the designed facility. Correcting the consequences of incorrectly made decisions at this stage of design, if they are made, can be difficult and costly, and in some cases impossible. The relevance of using the criterion equations obtained by various authors to evaluate the necessary parameters is substantiated. The long-term practice of using such equations to perform an engineering analysis of cooling systems has confirmed both the high reliability of the results obtained and the relatively low labor costs of engineers to perform the work, which significantly reduces the iteration time required to make correct technical decisions and achieve optimal configuration of various cooled elements (housings, chamber parts combustion chambers, cooled blades, etc.) as soon as possible. A comparative analysis of the characteristics of the element of the cooling system of a turbomachine is performed using the criterion equations obtained by various authors. There is a fairly good agreement between the results of calculating the heat transfer coefficient when calculating using various criterion equations, and the possibility of using these criterion equations in practical calculations is considered. The necessity of developing a software module using optimization approaches to find rational parameters of cooling systems using jet methods of organizing the movement of cooling air is emphasized.

The 2025 4th International Conference on Management Engineering and Economic Analysis (MEEA 2025) was held in London, United Kingdom during October 18-19, 2025. This conference is to bring together innovative academics and experts in the fields of management engineering, business statistics, marketing strategies, financial economics and economic analysis to a common forum. The primary goal of the conference is to promote research and developmental activities and another goal is to promote information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference model of MEEA 2025 was divided into two sessions, including oral presentations and keynote speeches. In the first part, some scholars, whose submissions were selected as the excellent papers, were given 10-15 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 35-45 minutes to hold their speeches. We are really grateful to the keynote speakers, session chairs, organizing committee members, student volunteers, and publication house. Also, we are thankful to all the authors for contributing a large number of papers in the conference. It was the quality of their presentations and their passion to communicate with the other participants that really make this conference series a great success. MEEA 2025 Organizing Committees London, United Kingdom

Engineering design and analysis of fuel distribution in a fuel supply system of a large-scale gas turbine combustor

BACKGROUND: In today's environment, agricultural equipment faces the challenges of increased wear and tear and limited availability of traditional materials. To replace standard components, innovative solutions are required to improve the mechanical properties of parts while maintaining or reducing their mass. The use of metamaterials created using 3D printing technologies opens up new opportunities for the production of parts with adjustable internal structure, which helps to improve the durability and performance of machines. AIMS: The main purpose of the study was to analyse the influence of geometric configuration of metamaterials on their mechanical properties in order to develop materials for agricultural machinery parts that provide increased strength and resistance to deformation. MATERIALS AND METHODS: The study was carried out on the basis of numerical modelling using computer-aided design and engineering analysis system. The objects of the study were metamaterials with different configuration of octagonal cells differing in shape, size, number and orientation. A comparative analysis of regular and irregular octagonal structures was carried out as part of the experiment. RESULTS: The analyses showed that the geometrical structure of metamaterials has a significant influence on their mechanical performance. Regular octagonal structures showed increased stiffness and resistance to deformation, whereas irregular structures were characterised by greater ductility. Optimisation of the internal structure of the materials improved the mechanical properties without significantly increasing the mass of the parts. CONCLUSIONS: The study confirmed the feasibility of using 3D printing to create metamaterials with improved mechanical properties by changing the geometric structure. The developed materials can replace traditional analogues in agricultural machines, ensuring their durability and productivity.

Shear failure is a typical failure mode of surrounding rock in underground excavations. The mechanical properties and damage evolution characteristics of rock under true triaxial shear conditions are essential for stability evaluation and monitoring, however, remain insufficiently explored. To investigate the influence of normal stress on the shear mechanical properties and failure mechanisms of rock under true triaxial conditions, the shear experiments of granite subjected to varying normal stresses while maintaining constant lateral stress were carried out using the true triaxial shear experiment system. Combined with changes in acoustic emission(AE) signals during rock shear deformation, the influence of normal stress on the macroscopic strength, deformation and mesoscopic damage process of granite under true triaxial shear conditions were analyzed. The results indicate: (1) Within the test stress range, the peak shear strength, residual shear strength, crack initiation stress, and crack damage stress demonstrate a nearly linear increase with rising normal stress. (2) An increase in normal stress is associated with the rise of cumulative AE ringing counts and cumulative AE energy. (3) As normal stress increases, the proportion of shear cracks within the sample proportionately grows, thereby restraining normal expansion deformation; consequently, the peak normal dilation decreases with normal stress. The research can provide a new basis and reference for the stability analysis of deep geotechnical engineering.

The importance of electrochemical analysis for energy science and engineering cannot be overstated. While electrochemical measurements are usually easy to carry out, the interpretation of the results can prove demanding due to inherent challenges in the cell setup and the heterogeneous nature of the electron-transfer processes. What is the medium polarity that the redox species experience on the electrode surfaces? Solvent polarity strongly affects charge-transfer thermodynamics and measured electrochemical potentials. Quantified considering the Born solvation energy, these effects are especially pronounced for small species. Optical and electronic testing methodologies allow determining the polarity in the bulk of electrolyte solutions. Nevertheless, estimating the medium polarity at electrode surfaces still remains a formidable challenge. In addition to changing the concentrations of the different electrolyte ions across the double layers, the electric field from the applied potential suppresses solvent mobility and diminishes the orientational polarization. This “electrofreeze” drastically lowers the polarity of the media around the species on the electrode surfaces that undergo oxidation or reduction. Using pairs of electron donors and acceptors with the same molecular sizes and shapes allows us to extract the dependence of the electrochemical potentials on the electrolyte concentration and solvent polarity. Global analysis allows separating the shifts in the potentials that the liquid junctions with the reference electrode induce from the shifts originating from changes in the polarity at the surface of the working electrode. The results show a drastic decrease in the dielectric constants, especially of polar solvents. When using acetonitrile electrolyte solutions, for example, the medium polarity that the analytes experience at the working-electrode surface is similar to the polarity of chloroform or dichloromethane. These findings warrant caution when employing experimentally measured electrochemical potentials for the analysis of energy conversion and energy storage.

Mammalian cell lines are the preferred host cells for the biopharmaceutical industry. Chinese hamster ovary (CHO) and human embryonic kidney 293 (HEK293) cells are frequently utilized in the production of recombinant therapeutic proteins (RTPs) owing to their capacity to facilitate appropriate protein folding and perform accurate post-translational modifications (PTMs). However, there are still some bottlenecks in the biopharmaceutical process using mammalian cells, including lower productivity, higher production cost and increased risk of contamination compared with bacterial or yeast expression systems. In addition to vector, media and bioprocess optimization, advances in host cell engineering including gene overexpression, knockout and knockdown have significantly advanced cell-line development. Besides targeting known genes and pathways, miRNA engineering and omics analysis are also employed to enhance mammalian cell culture performance. Optimization of cell engineering and production processes further drives the development of more efficient mammalian cell expression systems. This review systematically summarizes key achievements in cell engineering and offers insights into potential targets and pathways for improving therapeutic protein production in mammalian cells.

In workplaces where formaldehyde, hydrochloric acid and water vapor coexist, dichloromethyl ether can be produced. Dichloromethyl ether has strong carcinogenicity. Its target organ is the lungs, and the common tissue type of lung cancer is small cell lung cancer. This paper analyzes the cause of a case of occupational tumor (lung cancer caused by dichloromethyl ether) in the electroplating industry. Through the use of on-site occupational health investigation method, engineering analysis method and detection and inspection method, the occupational disease diagnosis is diagnosed in combination with the patient's occupational contact history, clinical symptoms and workplace occupational disease hazard factors. According to GBZ 94-2017 "Diagnosis of Occupational Tumor", the patient in this case was clearly diagnosed with primary lung cancer and was diagnosed as an occupational tumor (lung cancer caused by dichloromethyl ether) .

Retrofitting projects in industrial facilities are often prone to delays and cost overruns due to various technical, logistical, and operational risks. These challenges include limited working access, delayed material delivery, and regulatory constraints, all of which can significantly affect project efficiency and cost performance. This study aims to optimize project costs by integrating value engineering and risk analysis methods in retrofitting construction. A mixed-method approach was employed, combining case studies with statistical analysis using Structural Equation Modeling – Partial Least Squares (SEM-PLS). Data were collected through surveys, expert interviews, field observations, and project documentation. The findings indicate that the integration of value engineering and risk analysis effectively reduces project costs without compromising quality. The application of value engineering resulted in an alternative solution using fire-rated drywall, which led to a cost saving of approximately IDR 5.36 billion or 9.63 percent of the original estimated cost. Additionally, the Life Cycle Cost (LCC) analysis showed that this alternative provided a more economical long-term solution, with a life cycle cost difference of 13.73 percent compared to the baseline material. These results highlight the practical benefits of integrating VE and risk management, offering a structured and data-driven framework for achieving cost-effective and sustainable outcomes in complex industrial retrofitting projects.

Implications of lunar simulant geotechnical properties on testbed experimentation and engineering analysis and reported properties of Colorado School of Mines highland simulant

The article presents an engineering and operational analysis of modern aluminum sliding systems used for large-format glazing. The relevance of the topic is dictated by the architectural trend toward creating panoramic and transformable spaces, which makes these systems a key element of modern buildings. Meanwhile, the rapid technological evolution of these structures creates a contradiction: on one hand, architects strive for maximum transparency and barrier-free access, while on the other, they face strict engineering requirements for energy efficiency, hermeticity, and durability. The goal of the article is to resolve this discrepancy by systematizing knowledge about various types (lift-and-slide, folding-sliding, etc.) and developing practical recommendations for their selection. It is concluded that the industry is moving toward specialization: lift-and-slide systems are being established as the standard for energy-efficient solutions in demanding climatic conditions, while folding-sliding systems occupy a niche where the priority is the maximum opening of the aperture, often at the expense of thermal insulation characteristics. The contribution of this work lies in formulating an original approach to system selection based on preventive engineering and consideration of the climatic context and long-term operational risks. The presented materials will be useful for practicing architects, structural engineers, and façade consultants.

ABSTRACT This study presents an experimental and numerical investigation of uni-directional non-breaking focused waves generated using the NewWave model and transient wave packets. Model tests in the Deep Ocean Engineering Basin examine the spatial evolution and nonlinear characteristics of focused waves, applying amplitude and phase corrections from linear theory to improve target focusing. The experiments reveal nonlinear energy transfer near the focal point due to wave–wave interactions, leading to crest elevation increases, and quantify viscous energy dissipation during downstream propagation. Numerical simulations are performed in a Higher-Order Spectral (HOS) method-based numerical wave tank(NWT) with cosine bases and influx source generation to treat non-periodic boundaries. The simulations capture third- and higher-order nonlinear interactions, reproducing measured wave elevations and frequency spectra. The results clarify the dependence of wave propagation on the energy band and demonstrate the capability of HOS-based NWT as reliable tools for focused-wave design and analysis in offshore engineering.

This research utilizes machine learning to investigate Marangoni convection in a hybrid nanofluid left( {MnZnFe_{2} O_{4} + NiZnFe_{2} O_{4} /H_{2} O} right) within a Darcy-Forchheimer porous framework. We conduct both qualitative and quantitative assessments of heat transfer, mass transfer, and viscous dissipation irreversibility during the flow. Numerical results are obtained using a Python finite difference algorithm, after which MATLAB is employed for AI-based analysis. Additionally, the Levenberg–Marquardt neural network algorithm is trained and utilized. Our findings show that fluid velocity diminishes as the inverse Darcy parameter, Marangoni ratio, and Forchheimer parameter increase. Moreover, the temperature rises with the Eckert number and Prandtl ratio. As concentration increases, activation energy and Schmidt parameter also grow. Mean Square Error for the results reaches up to 10−11 across various impacts. The findings indicate that the LMNN model fits well with low error in training, testing and validation dataset. Notably, the results indicate that this hybrid AI-based method could be used as a credible surrogate of the intricate simulations in porous media heat transfer tasks providing a computationally effective device of real-time analysis in engineering.

In the field of industrial fluid management systems, engineers are searching for the ideal cost-performance configuration. This study employs value engineering (VE) and simulation-based analysis in the re-design of a liquid dispersion unit. Function-Cost-Worth Analysis (FCWA) is used to indicate overpriced and less valuable components, and FAST and evaluation matrices are used to assess the impacts of the identified factors. Throughout the analysis, it was determined that the nozzle subsystem was limiting the performance/efficiency level due to fluid dynamics and the surface area covered by the spray. To mitigate this, different nozzle shapes and materials were evaluated while progressing through the prototype development process. The overall analysis indicated that the overall contour of the cone nozzle was the best performing option. Despite CFD simulation and FEA analysis demonstrating improved material flow, the designed structural integrity remained operationally under specified pressure. Polypropylene is a very good low-cost option vs. steel in that it proves to be safer. The performance improved on at least 11.5% efficiency increase from the previous 63.75% efficiency to 75.25% in the technical comparison. In the instance that the envisioned nozzle cost was 2.52% less than the previous standard, the cost of efficiency performance should be similar.