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In blasting design, blasting parameters poorly match the actual blast area, while manual adjustments result in low efficiency and suboptimal borehole layout. This study therefore proposes a borehole layout optimization a...

To address the short comings of the Lee-Tarver ignition and growth reaction rate equation, which comprises numerous parameters (15) and is difficult to calibrate, semi-periodic trigonometric functions were introduced to ...

Strawberry is a natural source of antioxidants with potential to inhibit melanin production in the skin. However, its application in topical formulations is limited by factors such as stability, skin permeability, and ef...

During tunnel construction using the drilling and blasting method, layered jointed rock masses often pose engineering challenges such as over- and under-excavation of the crown and working face. The authors addressed the...

Abstract Friction Stir Welding (FSW) is a reliable solid-state joining technique for aluminium alloys, where conventional fusion welding often causes porosity, solidification cracking, and excessive heat-affected softeni...

Ammonia/diesel blended fuel significantly reduces carbon emissions, but it has issues such as high unburned ammonia emissions and low combustion efficiency. To achieve the goals of carbon peak and carbon neutrality, this...

Abstract This study presents a novel hybrid methodology combining machine learning (ML) with conventional reservoir simulation to optimize waterflooding in the geologically complex Bahariya Formation, Western Desert, Egy...

Abstract Background Optimization of biotechnological processes is traditionally limited by time-consuming trial-and-error approaches and the complexity of simultaneously optimizing multiple, often conflicting objectives....

Electric Discharge Machining (EDM) is a non-traditional machining process that utilizes electric sparks between an electrode and a workpiece submerged in a dielectric fluid to ablate a material. It is commonly used in di...

This study compares seven quantum algorithms—Variational Quantum Eigensolver (VQE), Variational Quantum Deflation (VQD), Quantum Approximate Optimization Algorithm (QAOA), Quantum Amplitude Estimation (QAE), Quant...

Abstract This paper presents an effective approach for lower-order (LO) modeling of an electric vehicle–integrated off-grid microgrid (OMG) system. The seventh-order system (SOS) of the OMG is reduced to a second-order...

Powder compaction is the most widely used technology to fabricate polymer bonded explosives (PBX), and its parameters significantly influence the structures and mechanical properties of the final products. By conducting ...

Abstract Single Point Incremental Forming (SPIF) offers high flexibility for producing complex sheet metal components. However, simultaneous high formability and high surface integrity remain problematic with aluminium a...

ObjectiveTo develop and validate a quantitative framework for optimizing maritime renewable energy integration, advancing SDG 7 targets through improved deployment efficiency and socioeconomic impact assessment.Theoretic...

Background For those with hearing loss, sign language (SL) is an essential communication tool. The most common and basic type of SL is American SL (ASL). ASL plays a vital role in various communicative contexts, includin...

Abstract In response to the dual challenges of complex static obstacles and frequent dynamic disturbances in the construction site environment, this paper proposes a hybrid path planning strategy that integrates global s...

Introduction. Metaheuristic algorithms are effective for solving complex power system optimization problems characterized by nonlinearity, multimodality, and high dimensionality. Nature-inspired strategies based on adapt...

Abstract Accurate and real-time prediction of lost circulation is essential for ensuring drilling safety and operational efficiency. Existing data-driven approaches, however, often lack effective integration of domain ex...

Ultrasound-assisted interesterification is a new approach for biodiesel production, and in this study, coconut oil was selected as the raw material to produce biodiesel using this technology. Therefore, this study aims t...

BackgroundLast-mile logistics accounts for approximately 28% of total logistics costs and is a major contributor to urban carbon emissions. The integration of drones with electric trucks offers a path toward more efficie...

When using the blasting caving method to treat goaf, the collapsing ore and rock can cause shock disturbances to the roof of the lower stope, which may lead to stability risks. This study takes the goaf treatment project...

The objectives of the current study are to assess the performance and emission characteristics of a diesel engine running on Juliflora biodiesel-based blends at varying levels of brake power. These ob-jectives were achie...

Acidified oil wastewater contains high concentrations of phosphorus and organic pollutants, which not only pose environmental risks but also contain recoverable phosphorus resources. However, its complex matrix (high COD...

This paper proposes an innovative automated multiphysics Microelectromechanical systems (MEMS) co-optimization platform integrating the embedded reduced-order modeling offered by Coventor MEMS+ with MATLAB’s numerical ...