Digital Commons Network^™

Flexible Fault-Tolerant Multi-Die Fpga-Based Architectures For Varying Space Environments, Yosof Ali Seif El Din Ali Maklad

Theses and Dissertations

It is well-known fact that spacecraft’s electronic components operate in an extreme harsh and varying space environments, beside changing orbit or passing through Van Allan Belts during orbital course results of radiation levels change. This thesis focuses on SRAM-based FPGA systems on-board of such spacecrafts, that are commonly utilized in space applications’ critical applications due to their capabilities and flexibility to reconfigure, since these systems are vulnerable to frequent negative impacts of ionizing radiation, thus inducing soft and hard errors leading to disastrous failures that could jeopardize the entire spacecraft. The soft errors’ effects are frequent yet can be mitigated, …

Proposed Modifications To The Egyptian Concrete Code Based On A Comprehensive Sustainability Assessment Of Portland Cement Alternatives For Climate Change Mitigation, Yasmin Elhakim

Theses and Dissertations

Climate change is a major challenge facing planet earth today. This phenomenon is foreseen to continue to represent a major concern for decades to come. The construction industry is one of the most polluting sectors worldwide and is considered one of the top greenhouse gas emitters. Egypt, in particular, is one of the most vulnerable countries to the adverse effects of climate change. The construction sector plays a major role in Egypt’s economy, contributing significantly to the national GDP, yet it also represents one of the country’s largest greenhouse gas emitters. However, the Egyptian Concrete Code does not enforce the …

Metal-Free Nitrogen-Enriched Graphitic Carbon Nitride Architectures For Advanced Supercapacitor Energy Storage: Design, Synthesis, And Electrochemical Performance Optimization, Loujain Gamal Mohamed

Theses and Dissertations

Abstract

This thesis addresses the urgent global requirement for efficient energy storage materials by developing and characterizing advanced graphitic carbon nitride (g-C3N4)-based electrode materials for supercapacitors. A facile, low-cost thermal polymerization method produces 2D nitrogen-rich GCN nanosheets exhibiting excellent electrochemical stability and wide voltage windows, enabling symmetric devices with 19.33 Wh/kg energy density and remarkable cycling stability over 21,000 cycles. To overcome intrinsic limitations of pristine GCN, a 3D/2D metal free composite with bio-derived carbon (Bio-Cx) is synthesized, delivering high capacitance, wide potential windows, and ultrahigh energy density of 53.72 Wh/kg in asymmetric configurations paired with mesoporous nitrogen-doped carbon (MPNDC). …

Scalable And Fault-Tolerant Network Architectures For Real-Time Video Transmission In Industrial Networked Control Systems, Moustafa Awad

Theses and Dissertations

This thesis addresses the challenge of transporting supervisory video alongside time-critical control traffic in industrial Networked Control Systems (NCS) without violating stringent real-time constraints. A simple yet scalable network architecture is developed and evaluated for a plant-level deployment comprising three interconnected workcells with sensors, controllers, actuators, and cameras. The design explicitly accommodates bandwidth-intensive video streams while preserving the responsiveness of watchdog/control traffic. Analytical delay modeling decomposes end-to-end latency into transmission, propagation, processing, and queuing components, and Riverbed-based simulations are used to validate the model under realistic mixed-traffic conditions. A traffic-engineering strategy - phase-shifting supervisory camera transmissions - effectively desynchronizes frame …

Expression Of Concern: The Innovative Technique For Obtaining The Solutions Of Jeffery Hamel Nano-Fluids Flow Problem, Haedir Abd Alrazak Namoos, Abeer Majeed Jasim

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: H.A.A. Namoos and A.M. Jasim, ``The Innovative Technique for Obtaining the Solutions of Jeffery Hamel Nano-fluids Flow Problem,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 3, 2025, Article 31. DOI:https://doi.org/10.52866/2788-7421.1303.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/31.

Reason for Expression of Concern:The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “The Innovative Technique for Obtaining the Solutions of Je ery Hamel Nano-fluids Flow Problem (Manuscript 1303)”. The journal has initiated an additional editorial assessment of the article’s methodology, data provenance, and reported outcomes to …

Expression Of Concern: Software Engineering Approach To Enhancing Privacy Protection: Automated Face Blurring Using Deep Learning In Arab Social Media, Yasmin Makki Mohialden, Nadia Mahmood Hussien, Mostafa Abdulghafoor Mohammed

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: Y. M. Mohialden, N. M. Hussien, and M. A. Mohammed, ``Software Engineering Approach to Enhancing Privacy Protection: Automated Face Blurring Using Deep Learning in Arab Social Media,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 3, 2025, Article 43. DOI: https://doi.org/10.52866/2788-7421.1317.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/43.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Software Engineering Approach to Enhancing Privacy Protection: Automated Face Blurring Using Deep Learning in Arab Social Media (Manuscript 1317)”. The journal has initiated an additional …

Expression Of Concern: Quantum Machine And Deep Learning For Medical Image Classification: A Systematic Review Of Trends, Methodologies, And Future Directions, Eman A. Radhi, Mohammed Y. Kamil, Mazin Abed Mohammed

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: E. A. Radhi, M. Y. Kamil, and M. A. Mohammed, ``Quantum Machine and Deep Learning for Medical Image Classification: A Systematic Review of Trends, Methodologies, and Future Directions,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 2, 2025, Article 9. DOI: https://doi.org/10.52866/2788-7421.1252.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/9.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Quantum Machine and Deep Learning for Medical Image Classification: A Systematic Review of Trends, Methodologies, and Future Directions (Manuscript 1252)”. The journal has initiated …

Expression Of Concern: Ontology Features-Based Arabic Text Augmentation Using Word2vec, Enas Tariq Khudair, Onsa Lazzez, Mourad Zaied, Tarek M. Hamdani, Ahmed T. Sadiq, Habib Chabchoub, Adel M. Alimi

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: E. T. Khudair, O. Lazzez, M. Zaied, T. M. Hamdani, A. T. Sadiq, H. Chabchoub, and A. M. Alimi, “Ontology Features-Based Arabic Text Augmentation Using Word2Vec,” Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 3, 2025, Article 40. DOI: https://doi.org/10.52866/2788-7421. 1302 Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/40

Editor's Note: The Expression of Concern (DOI: https://doi.org/10.52866/2788-7421.1386) regarding the Original Article (DOI: https://doi.org/10.52866/2788-7421.1302) has been resolved. The publication timeline is as follows: Original Article → Expression of Concern → Resolution.

Expression Of Concern: Leveraging Machine Learning For Accurate Prediction Of Nba Player Salaries, Ye Cheng, Yan Song, Mingqi Wang

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: Y. Cheng, Y. Song, and M. Wang, ``Leveraging Machine Learning for Accurate Prediction of NBA Player Salaries,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 3, 2025, Article 1. DOI: https://doi.org/10.52866/2788-7421.1275
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/1

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Leveraging Machine Learning for Accurate Prediction of NBA Player Salaries (Manuscript 1275)”. The journal has initiated an additional editorial assessment of the article’s methodology, data provenance, and reported outcomes to confirm their reliability and reproducibility. This notice …

Expression Of Concern: Improving Road Safety Through Multimodal Deep Learning For Driver Drowsiness Detection, Hadel A. Hussain, Mohammed A. Subhi, Ahmed S. Al Tmeme, Ahmed D. Radhi, Marwan Ali Albahar

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: H. A. Hussain, M. A. Subhi, A. S. Al Tmeme, A. D. Radhi, and M. A. Albahar, ``Improving Road Safety Through Multimodal Deep Learning for Driver Drowsiness Detection,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 4, Article 12, 2025. DOI: https://doi.org/10.52866/2788-7421.1330.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss4/12.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Improving Road Safety Through Multimodal Deep Learning for Driver Drowsiness Detection (Manuscript 1330)”. The journal has initiated an additional editorial assessment of the article’s …

Expression Of Concern: Improved Harmony Search Algorithm For Sdn Controller Placement, Yousra Abdul Alsahib S. Aldeen, Ahmed T. Sadiq, Abeer E. Abed, Omar F. Hussain, Syed Hamid Hussain Madni

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: Y. A. A. S. Aldeen, A. T. Sadiq, A. E. Abed, O. F. Hussain, and S. H. H. Madni, ``Improved Harmony Search Algorithm for SDN Controller Placement,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 2, 2025, Article 12. DOI: https://doi.org/10.52866/2788-7421.1249.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/12.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Exact Solutions of M-fractional Complex Ginzburg-Landau Equation via Two Analytical Methods (Manuscript 1267)”. Exact Solutions of M-fractional: : : The journal has initiated an additional …

Expression Of Concern: Exact Solutions Of M-Fractional Complex Ginzburg-Landau Equation Via Two Analytical, Nematollah Kadkhoda, Mojtaba Baymani, Maad M. Mijwil, Mostafa Abotaleb

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: N. Kadkhoda, M. Baymani, M. M. Mijwil, and M. Abotaleb, ``Exact Solutions of M-fractional Complex Ginzburg-Landau Equation via Two Analytical Methods,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 3, 2025, Article 11. DOI: https://doi.org/10.52866/2788-7421.1267.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/11.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Exact Solutions of M-fractional Complex Ginzburg-Landau Equation via Two Analytical Methods (Manuscript 1267)”. Exact Solutions of M-fractional: : : The journal has initiated an additional editorial assessment of the article’s methodology, …

Expression Of Concern: Artificial Intelligence In Education: Mathematics Teachers' Perspectives, Practices And Challenges, Mohammad A. Tashtoush, Yousef Wardat, Rommel Al Ali, Shoeb Saleh

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: M. A. Tashtoush, Y. Wardat, R. A. Ali, and S. Saleh, ``Artificial Intelligence in Education: Mathematics Teachers' Perspectives, Practices and Challenges,'' Iraqi Journal for Computer Science and Mathematics, vol. 5, no. 1, 2024, Article 20. DOI: https://doi.org/10.52866/ijcsm.2024.05.01.004.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol5/iss1/20.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in ``Artificial Intelligence in Education: Mathematics Teachers' Perspectives''. The journal has initiated an additional editorial assessment of the article's methodology, data provenance, and reported outcomes to confirm their reliability and reproducibility.
This …

Expression Of Concern: A Lightweight U-Net Model For Accurate Skin Lesion Segmentation, Fallah H. Najjar, Karrar A. Kadhim, Farhan Mohamed, Mohd Shafry Mohd Rahim, Asniyani Nur Haidar Abdullah

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: F. H. Najjar, K. A. Kadhim, F. Mohamed, M. S. Mohd Rahim, and A. N. Haidar Abdullah, ``A Lightweight U-Net Model for Accurate Skin Lesion Segmentation,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 2, 2025, Article 1. DOI: https://doi.org/10.52866/2788-7421.1230.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/1.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in ``A Lightweight U-Net Model for Accurate Skin Lesion Segmentation (Manuscript 1230)''. the journal has initiated an additional editorial assessment of the article's methodology, data provenance, and …

Characterizing Indoor Surface Voc Contamination After The 2025 Los Angeles Fires, Brett W. Stinson, Emily Lei, Elliott T. Gall

Mechanical and Materials Engineering Faculty Publications and Presentations

We quantify volatile organic compound (VOC) emissions from indoor surface swabs and portable air cleaner (PAC) filters collected in a home 30 days after the 2025 Los Angeles wildland-urban interface (WUI) fires. We calculate emissions for 17 fire-relevant compounds. Surface emissions exceeded those of clean controls, and emissions from a windowsill in a room without a PAC were ∼15× and ∼2× higher for benzene and toluene, respectively, than rates reported in the literature for comparable materials unaffected by smoke/soot. Particle filters installed in PACs at the start of the fire emitted aromatics at rates comparable to those reported in a …

A Proposed Vision To Activate Smart Urban Growth Concepts For The New Egyptian Cities, Nirman M. El-Sayed, Mamdouh A. Al-Minshawi

Mansoura Engineering Journal

Smart urban growth is the ideal solution to urban problems within the cities of the fourth generation in Egypt, and despite this, most of them depend on traditional urban thought without activating "Smart Urban Growth", which is known to maintain lands from deterioration and make societies suitable for living and providing the necessary services. The goal of research to set standards to activate smart urban growth as a thought that keeps pace with sustainable urban development and Egypt's 2030 vision, work to use the global smart cities approach and how they reach intelligence. While the research follows the "analytical" deductive …

The Evolution Of Mro Outsourcing: Global Trends, Regulatory Challenges, And Strategic Considerations In Aviation Maintenance, David C. Ison

Journal of Aviation Technology and Engineering

The maintenance, repair, and overhaul (MRO) industry plays a critical role in ensuring the safety, efficiency, and sustainability of the global aviation sector. As airlines seek to reduce costs, optimize operations, and access specialized expertise, MRO outsourcing has become an increasingly prevalent strategy. This essay examines the key drivers of MRO outsourcing, including cost reduction, access to advanced technologies, and the focus on core competencies. The essay also explores emerging trends such as the rise of new MRO hubs in Asia and the Middle East, the integration of predictive maintenance and artificial intelligence, and the growing emphasis on environmental sustainability. …

Injuries And Accidents On Airport Ramps, Kavya Banarjee

Student Research Symposium (SRS)

Media coverage of aircraft incidents/accidents often triggers public scrutiny and heightened anxiety. But behind that are injuries and fatalities caused on the airport ramps; incidents like these are rarely covered by the media but pose just as much of a safety concern as an aircraft incident. This paper aims to inform aviation industry professionals and airline executives about the causes of incidents and accidents on the airport ramp; it also covers the importance of finding and implementing solutions for safety. The methodology for this paper focuses on research and analysis of publicly available information. Relevant data and perspectives were gathered …

Contrasting Coastal Dune Environments In Chile, Aurora Christianson

Student Research Symposium (SRS)

Emerging coastalization and urbanization threats to the prehistoric Concón Dunes and Humedal de Mantagua coastal area of Chile is being investigated by researchers via uncrewed aircraft systems (UAS). Four UAS were utilized: Anzu Raptor T, DJI Mavic 3E, DJI Mavic 3M, and DJI Air 3 to collect various images of the coastal dunes. Multispectral and RGB cameras gather images by photogrammetry to create orthomosaics and monitor vegetation indexes in Pix4Dmapper. Thermal cameras provided images in rainbow, white hot infrared, and black hot infrared schemes to monitor wildlife and vegetation. The normalized difference vegetation index (NDVI) was calculated to visualize overall …

Intravascular Ultrasound Is More Accurate Than Angiography In Arteriovenous Vascular Access Lesions, James W. Decker, Dima Banihani, Curtis Honshideler, Saran Lotfollahzadeh, David Jasen Wu Wong, Alik Farber, Jeffrey J. Siracuse, Najia Idrees, Laura Dember, Mohammad Bader, Suvranu Ganguli, Vijaya Kolachalama, Tarek Shazly

Faculty Publications

Background:

Conventional angiography remains the standard diagnostic modality for arteriovenous (AV) access dysfunction in hemodialysis patients, but its geometric accuracy is limited. Intravascular ultrasound (IVUS) offers superior lesion detection, yet its absolute measurement accuracy remains uncertain. Using three-dimensional (3D) printed vascular conduits as reference standards, we assessed the accuracy of IVUS versus angiography, hypothesizing that complex conduit geometry, quantified by Gaussian curvature, would exacerbate angiographic error.

Methods

Clinically relevant AV access geometries were modeled with computer-aided design (CAD) and fabricated using 3D printing. Lumen diameters were measured by contrast angiography and IVUS and compared with CAD dimensions. Conduit geometry was …

Finding Research Datasets And Evaluating Data Quality, Ibis Anette Moreno-Lozano Phd.

Day Family Research Lab Workshop Series

No abstract provided.

Solar Backscatter Ultraviolet (Buv) Retrievals Of Mid-Stratospheric Aerosols From The 2022 Hunga Eruption, Robert J.D. Spurr, Matt Christi, Nickolay A. Krotkov, Won Ei Choi, Simon Carn, Can Li, Et Al.

Michigan Tech Publications

On 15 January 2022, a highly explosive eruption of the submarine Hunga volcano (Kingdom of Tonga) generated the largest stratospheric hydration event ever observed and the largest aerosol perturbation since the 1991 Pinatubo eruption. Here, we develop a novel method for satellite retrieval of stratospheric aerosol optical depth (AOD) and layer peak height (zp) using solar backscattered ultraviolet (BUV) radiation; this is made possible by the exceptional mid-stratospheric altitude of the Hunga aerosols. We analyze BUV observations of the Hunga stratospheric aerosol cloud on 17 January 2022 (47 h after the eruption), using BUV band 1 measurements from the TROPOspheric …

An Autonomous Robotic System For Object Retrieval And Delivery: Enhancing Independence For Users Living With Disability And Older Adults, Jincheng Li, Chenghao Lin, Amna Mazen, Youssef A. Bazzi

Michigan Tech Publications

As the global population ages, there is a growing need for assistive technologies to help older adults maintain their independence. This work presents a cost-effective autonomous socially assistive robot designed for object retrieval and delivery, enhancing accessibility in home environments. The system is built on the Robot Operating System (ROS) framework and integrates three key components: the Pioneer P3-DX mobile robot for autonomous navigation, the ReactorX-200 robotic arm for pick-and-place operations, and the Kinect v2 RGB-D camera for object detection and localization. Users interact with the robot through natural language processing by issuing voice commands to retrieve various objects. Microsoft …

Uav-Deployable Open-Source Sensor Nodes For Spatial And Temporal In Situ Water Quality Monitoring And Mapping, Matthew Burnett, Mohamed Abdelwahab, Joud N. Satme, Austin Downey, Gabriel Barahona Smith, Antonio Fonce, Jasim Imran

Faculty Publications

Cost efficient, spatially resolved water quality monitoring is essential for managing pollution and protecting aquatic ecosystems. This study presents a low-cost (approximately USD 200), open-source, unmanned aerial vehicle (UAV)-deployable in situ sensor node for real-time assessment of surface-water conditions. The system integrates sensors for pH, turbidity, temperature, and total dissolved solids (TDSs), with onboard data logging and real-time clock (RTC) synchronization. Bench validation of the sensor package yielded mean absolute percentage errors of 1.34% for pH, 5.23% for TDS, and 0.81% for temperature, and the device operated continuously for 42 h. Field deployment demonstrated its ability to resolve spatial gradients, …

Resilient Grid Architectures For High Renewable Penetration: Electrical Engineering Strategies For 2030 And Beyond, Ehab Bayoumi

Mechanical Engineering

The global shift toward decarbonized power systems is driving unprecedented penetration of variable renewable energy sources, especially wind and solar PV. Legacy grid architectures, built around centralized, dispatchable synchronous generation, are ill-suited to manage the bidirectional power flows, reduced inertia, and new stability constraints introduced by inverter-based resources. Existing research offers deep but fragmented insights into individual elements of this transition, such as advanced power electronics, microgrids, or market design, but rarely integrates them into a coherent architectural vision for resilient, high-renewable grids. This review closes that gap by synthesizing technical, architectural, and institutional perspectives into a unified framework for …

Mechanism And Performance Characterization Of Dry-Process Asphalt Mixtures Modified With Ldpe/Eva/Sbs Composite Particles, Zhengwei Yi, Junhong Jiang, Xiaoxuan Du, Xiangyang Ren, Dongzhao Jin, Tai Sheng, Xiaoxue Li, Hongfu Liu

Michigan Tech Publications

This study employed a dry-process method to prepare SBS/recycled LDPE/EVA composite-modified particles (CMP) for asphalt mixture modification. Conventional performance tests, including penetration tests, determined the optimal CMP dosage to be 8% by mass of asphalt. The rheological properties and microstructure of base asphalt, SBS-modified asphalt, and composite-modified asphalt were systematically compared, and the road performance of the corresponding mixtures was evaluated. The results demonstrated that the composite modifier forms a uniform elastic network within the asphalt, significantly enhancing both high- and low-temperature performance and fatigue life while also improving thermal stability and deformation resistance. The modification mechanism is predominantly based …

Structural And Mechanical Properties Facilitate Shock Wave Damping By Helmet-Like Orbital Hoods In Snapping Shrimp, Mia Kazel, Rebekah E. Cammack, Alexandra C.N. Kingston, Ahmed A. Alshareef, Tarek Shazly, Daniel Isaac Speiser

Faculty Publications

Snapping shrimp damp the shock waves they produce and use as weapons with a helmet-like structure termed the orbital hood. Here, we ask how structural and material properties contribute to shock wave damping by orbital hoods in Alpheus heterochaelis. Using tensile mechanical testing, we find orbital hoods are approximately half as stiff as carapace and have twice the capacity for viscous energy dissipation. Microstructural features probably contribute to tissue-specific mechanical properties: the endocuticles of orbital hoods have almost twice as many lamellae as those of carapaces despite being half as thick, suggesting a mechanism for enhanced material mobility underlying …

A Comprehensive Review Of Food Waste Management In Attaining Sdg 12.3 Goals: Insights From Asian Countries, Ping Hu, Lotifa Tamanna Toma, Ashraful Alam, Md. Tanvir Ahmmed, Md. Jahidul Islam, Kazi Farhana, Marjia Sultana, Miraj Ahmed Bhuiyan

Civil and Environmental Engineering Faculty Publications and Presentations

Food waste is one of the most important world-wide challenges whose environmental, economic and social impacts have far-reaching effects that include contributing to greenhouse gas emissions, resources depletion as well as the rising levels of food insecurity. These problems are further intensified in Asia due to high rate of urbanization, population growth, changing dietary habits, and lack of waste management facilities. These conditions complicate the fact that countries are increasingly struggling to achieve the United Nations Sustainable Development Goal (SDG) 12.3, which is to ensure that by 2030, half of the world has dropped per-capita food waste, and food losses …

Developments Of New Metal-Free Batteries And Self-Charging Batteries For Sustainability, Abhishek Paudel

LSU Doctoral Dissertations

The growing concerns over the limitations and environmental impact of conventional lithium-ion batteries (LIBs) have driven the search for more sustainable energy storage solutions. Metal-free batteries, such as those utilizing ammonium ions (NH₄⁺), offer a compelling alternative due to their non-toxic nature, abundant availability, and unique electrochemical properties. The NH₄⁺ ion's lower molar mass and distinct tetrahedral structure enable efficient charge transfer and intercalation, distinguishing it from traditional metal ions and potentially improving battery performance. Self-charging batteries, which integrate piezoelectric materials to harvest ambient mechanical energy, present a significant advancement in energy storage technology. By capturing and converting mechanical energy …

Development Of A Decision-Making Framework For Selecting A Project Delivery Method For Public Sector Construction Projects In Malaysia, Mohd Idham Mohd Noor

Student Works (2020-2029)

Public sector construction projects play a crucial role in economic development and public service delivery, requiring effective project management to ensure optimal public expenditure and successful outcomes. Selecting an appropriate Project Delivery Method (PDM) is a critical yet unstructured process in the Malaysian public sector, influenced by various constraints such as administrative regulations, stakeholder interests, and policy compliance. Despite existing studies on PDM decision-making, research on Malaysia’s public sector remains limited. This study aims to develop a decision-making mechanism for determining appropriate PDM for Malaysia's public sector construction projects. The research adopts an interpretivist approach using a qualitative multiple-case study …