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  1. 201

    Evaluation of cell disruption methods for protein and coenzyme Q10 quantification in purple non-sulfur bacteria by Ojima Z. Wada (14155734)

    Published 2024
    “…<p dir="ltr">A recent focus has been on the recovery of single-cell protein and other nutritionally valuable bioproducts, such as Coenzyme Q10 (CoQ10) from purple non-sulfur bacteria (PNSB) biomass following wastewater treatment. …”
  2. 202

    Simulating and comparing various price-driven bid selection methods from an owner's perspective. (c2017) by Ammoury, Michael Fayez

    Published 2017
    “…Thus, there is a need to explore alternative competitive price-driven bidding methods which can preserve the transparency of the low bid method and at the same time remedy the inconvenience of unrealistic low bids. …”
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    masterThesis
  3. 203

    Smart Power Systems Transformation: Advanced Fault Detection With Edge Computing and Signal Processing in LV Networks With EV Charging Stations by Partha Chakraborty (12423883)

    Published 2025
    “…<p dir="ltr">This research presents a novel framework for improving fault detection and grid resilience in modern power systems by leveraging edge computing, optimized infrastructure placement, and advanced signal processing. …”
  4. 204

    Valorization of purple non-sulfur bacteria biomass from anaerobic treatment of fuel synthesis process wastewater to microbial protein: a means of enhancing food security in arid cl... by O.Z. Wada (19459570)

    Published 2023
    “…Thus, this study explores the potential of single-cell protein recovery from a novel waste stream abundant in the region–fuel synthesis process water (FSPW), via anaerobic treatment with purple non-sulfur bacteria (PNSB). …”
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    Competency Based Recruitment and Selection in Project Management Processes among United Arab Emirates (UAE) Enterprises by Al-Qassemi, Hend Faisal Khaled

    Published 2012
    “…The purpose of this research project is to evaluate problems in the project management processes in Multi-National Corporations (MNCs), in this case FedEx Corporation and Kraft Foods, along with a particular focus on the problems related to the failure of using competency based approaches for the recruitment and selection of cross functional team members in projects has been made. …”
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  8. 208

    Multiple objectives optimization of injection-moulding process for dashboard using soft computing and particle swarm optimization by Mehdi Moayyedian (14880358)

    Published 2024
    “…Multiple objectives particle swarm optimisation extracts optimal process parameters. The proposed method is implemented in MATLAB, providing 18 optimal solutions based on the extracted Pareto-Front.…”
  9. 209

    Improving the delivery process of water and wastewater treatment plant public projects through the use of IPD principles by Abi Shdid, Caesar

    Published 2015
    “…The complex nature of the processes performed by water and wastewater treatment facilities render the planning, design, and construction management of such facilities rather complicated tasks that require specialized expertise. …”
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    article
  10. 210

    Exploring Ultra-Processed Foods: Impact on Satiety, Eating Patterns, Blood Glucose Levels and Food Addiction by Mamo, Tracy G.

    Published 2025
    “…Methods: Using a cross-sectional design, the study recruited 222 participants, aged 18 to 65 years. …”
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    masterThesis
  11. 211

    Novel dual-mixed refrigerant precooling process for high capacity hydrogen liquefaction plants with superior performance by Ahmad K. Sleiti (14778229)

    Published 2023
    “…<p>Liquid hydrogen is a superior alternative for the current energy storage methods and energy carriers as it has higher energy density and cleanliness. …”
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    Online Transient Stability Assessment Under Concept Drift: An ARF-Method-Assisted Federated Learning for Data Streams by Mohamed Massaoudi (16888710)

    Published 2025
    “…To address these limitations, this article develops a novel federated adaptive random forest (FedARF) method that integrates federated learning with the adaptive random forest (ARF) model. …”
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