1,086 Result(s)
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Engineering
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Article
Geometric mean optimizer for achieving efficiency in truss structural design
The objective of this study is to utilize the geometric mean optimizer (GMO) for mass optimization of structural trusses. By harnessing the GMO’s mutation mechanism rooted in a Gaussian framework, the model ef...
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Achieving improved performance in construction projects: advanced time and cost optimization framework
The management of construction projects has long emphasized the delicate balance between time and cost, as these factors play a critical role in achieving optimal project outcomes. To address this challenge, s...
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Open Access3D printed energy devices: generation, conversion, and storage
The energy devices for generation, conversion, and storage of electricity are widely used across diverse aspects of human life and various industry. Three-dimensional (3D) printing has emerged as a promising t...
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Research on applying machine learning models to predict and assess return on assets (ROA)
Return on Assets (ROA), a profitability measure, is crucial in corporate finance for assessing how efficiently a company uses assets to generate profit. Currently, the prediction of the ROA index at present is...
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Optimized Clavicle Hook Plate Geometry for Average Korean Clavicle–Acromion Dimensions: A Finite Element Analysis Study
The acromioclavicular joint frequently experiences dislocations and fractures with ligament injuries during traumatic shoulder injuries, with clavicle hook plate fixation being a common treatment method. Howev...
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Experimental study on indirect mineral carbonation using five types of slag for production of high-purity calcium carbonate
Mineral carbonation is one of the known methods for carbon capture, utilization, and storage (CCUS). Slag from the steel industry is studied as a common source of CaCO3 via mineral carbonation owing to its high C...
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Optimal Sizing Strategy and Economic Analysis of PV-ESS for Demand Side Management
We propose a method to determine the optimal capacity of a photovoltaic generator (PV) and energy storage system (ESS) for demand side management (DSM) and review its economic revenues. The calculation procedu...
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Development of Operation Strategies of MIDC Systems for Mitigating Renewable Energy Curtailment in Korean Power System
With the growing integration of renewable energy (RE), there is an increasing emphasis on system flexibility, underscoring the need for a high-voltage direct current (HVDC) infrastructure. In Korea, multi-infe...
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Editorial: Towards 6G Technologies, Networks, Hardware, and Architectures
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Optimizing multi-objective construction management for resource-constrained project scheduling problems: a bio-inspired approach
The optimization challenge of the multi-mode resource-constrained project scheduling problem (MRCPSP) involves balancing both project makespan (Cmax) and net present value (NPV). In this research, we propose u...
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Article
Engineered polysaccharides for controlling innate and adaptive immune responses
Therapeutic interventions can be designed by exploiting the immune system’s ability to initiate specific responses to various stimuli. However, specific T cell activation, which is a key target for vaccines an...
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Open AccessReview on micro-gas chromatography system for analysis of multiple low-concentration volatile organic compounds: preconcentration, separation, detection, integration, and challenges
As the dangers of volatile organic compounds (VOCs) and their potential as non-invasive diagnosis biomarkers have been reported, there has been a need for instrument capable of real-time and in-situ monitoring...
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A Novel Grinding Process on Compacted Graphite Iron Using Cutting Fluid with Nano-solid Lubricant Additives
Surface grinding experiments are conducted on Compacted Graphite Iron (CGI) GJV450 using a resinoid cubic boron nitride (cBN) wheel. The cutting performance of the dry grinding process is compared to emulsifyi...
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Application of Impact Force Response Signal to Non-destructive Evaluation of Concrete Compressive Strength in Field Structures
This study aimed to evaluate the feasibility and usefulness of using the signal created by the impact force after the first impact of an object and subsequent impact of rebounds to evaluate the concrete’s comp...
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Open AccessA handheld device for intra-cavity and ex vivo fluorescence imaging of breast conserving surgery margins with 5-aminolevulinic acid
Visualization of cancer during breast conserving surgery (BCS) remains challenging; the BCS reoperation rate is reported to be 20-70% of patients. An urgent clinical need exists for real-time intraoperative vi...
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Applying blockchain technology in smart contracts for construction payment: a comprehensive solution for lumpsum contracts
In the construction industry, delays caused by slow payment or payment disputes between investors and contractors pose significant challenges and create stressful situations. Despite efforts to minimize delays...
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Applying ant colony optimization algorithm to optimize construction time and costs for mass concrete projects
This article introduces a novel approach to optimize costs and time in the construction of mass concrete projects by implementing the Ant Colony Optimization (ACO) algorithm. To achieve this, it is crucial to ...
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Application of modified symbiotic organisms search (msos) algorithm hybrid with Bayesian optimization leveling (bol) algorithm to propose optimal resource cost options
This research addresses a critical issue in the construction industry, where high competition and project-specific challenges pose significant difficulties in cost management, particularly in the realm of cons...
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Construction management multiple-objective trade-off problems using the flow direction algorithm (FDA)
The Flow Direction Algorithm (FDA), a novel physics-based optimization method initially introduced by Karami (Karami et al., Computers & Industrial Engineering 156, 2021), is the focal point of this research. ...
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Article
A novel giant pacific octopus optimizer for real-world engineering problem
Giant Pacific Octopus Optimizer (GPOO), a new swarm computational-intelligence metaheuristic approach, is a natural algorithm based on the behavior of octopuses as they struggle to live in the environment. The...
