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2024

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Unleashing The Power Of Internet Of Things And Blockchain: A Comprehensive Analysis And Future Directions, Abderahman Rejeb, Karim Rejeb, Andrea Appolloni, Sandeep Jagtap, Mohammad Iranmanesh, Salem Alghamdi, Yaser Alhasawi, Yasanur Kayikci Jan 2024

Unleashing The Power Of Internet Of Things And Blockchain: A Comprehensive Analysis And Future Directions, Abderahman Rejeb, Karim Rejeb, Andrea Appolloni, Sandeep Jagtap, Mohammad Iranmanesh, Salem Alghamdi, Yaser Alhasawi, Yasanur Kayikci

Research outputs 2022 to 2026

As the fusion of the Internet of Things (IoT) and blockchain technology advances, it is increasingly shaping diverse fields. The potential of this convergence to fortify security, enhance privacy, and streamline operations has ignited considerable academic interest, resulting in an impressive body of literature. However, there is a noticeable scarcity of studies employing Latent Dirichlet Allocation (LDA) to dissect and categorize this field. This review paper endeavours to bridge this gap by meticulously analysing a dataset of 4455 journal articles drawn solely from the Scopus database, cantered around IoT and blockchain applications. Utilizing LDA, we have extracted 14 distinct topics …

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Analysis Of Element Yield, Bacterial Community Structure And The Impact Of Carbon Sources For Bioleaching Rare Earth Elements From High Grade Monazite, Melissa K. Corbett, April Gifford, Nick Fimognari, Elizabeth L. J. Watkin Jan 2024

Analysis Of Element Yield, Bacterial Community Structure And The Impact Of Carbon Sources For Bioleaching Rare Earth Elements From High Grade Monazite, Melissa K. Corbett, April Gifford, Nick Fimognari, Elizabeth L. J. Watkin

Research outputs 2022 to 2026

Rare earth element (REE) recovery from waste streams, mine tailings or recyclable components using bioleaching is gaining traction due to the shortage and security of REE supply as well as the environmental problems that occur from processing and refining. Four heterotrophic microbial species with known phosphate solubilizing capabilities were evaluated for their ability to leach REE from a high-grade monazite when provided with either galactose, fructose or maltose. Supplying fructose resulted in the greatest amount of REE leached from the ore due to the largest amount of organic acid produced. Gluconic acid was the dominant organic acid identified produced by …

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Performance Evaluation Of A Dual-Chamber Plant Microbial Fuel Cell Developed For Electricity Generation And Wastewater Treatment, Mahmood Golzarian, M. Ghiasvand, S. Shokri, M. Bahreini, Fatemeh Kazemi Jan 2024

Performance Evaluation Of A Dual-Chamber Plant Microbial Fuel Cell Developed For Electricity Generation And Wastewater Treatment, Mahmood Golzarian, M. Ghiasvand, S. Shokri, M. Bahreini, Fatemeh Kazemi

Research outputs 2022 to 2026

Plant microbial fuel cells (PMFC) have attracted great scholarly attention as a renewable energy source. These cells have three main components: anode, cathode chambers, and a proton exchange membrane. In this study, a dual-chamber plant microbial fuel cell system was designed using Cyperus papyrus and Shewanella oneidensis. The effects of various factors, including the size of the electrodes, the distance between the electrodes, and the inoculation volume of Shewanella oneidensis, on the ability of electricity generation, were scrutinized. The results indicated that increasing the size area of the electrodes from 2 × 2 to 4 × 4 and 6 × …

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Professionalism In Artificial Intelligence: The Link Between Technology And Ethics, Anton Klarin, Hossein Ali Abadi, Rifat Sharmelly Jan 2024

Professionalism In Artificial Intelligence: The Link Between Technology And Ethics, Anton Klarin, Hossein Ali Abadi, Rifat Sharmelly

Research outputs 2022 to 2026

Ethical conduct of artificial intelligence (AI) is undoubtedly becoming an ever more pressing issue considering the inevitable integration of these technologies into our lives. The literature so far discussed the responsibility domains of AI; this study asks the question of how to instil ethicality into AI technologies. Through a three-step review of the AI ethics literature, we find that (i) the literature is weak in identifying solutions in ensuring ethical conduct of AI, (ii) the role of professional conduct is underexplored, and (iii) based on the values extracted from studies about AI ethical breaches, we thus propose a conceptual framework …

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Region-Specific Drivers Cause Low Organic Carbon Stocks And Sequestration Rates In The Saltmarsh Soils Of Southern Scandinavia, Carmen Leiva-Dueñas, Anna E. L. Graversen, Gary T. Banta, Jeppe N. Hansen, Marie L. K. Schrøter, Pere Masqué, Marianne Holmer, Dorte Krause-Jensen Jan 2024

Region-Specific Drivers Cause Low Organic Carbon Stocks And Sequestration Rates In The Saltmarsh Soils Of Southern Scandinavia, Carmen Leiva-Dueñas, Anna E. L. Graversen, Gary T. Banta, Jeppe N. Hansen, Marie L. K. Schrøter, Pere Masqué, Marianne Holmer, Dorte Krause-Jensen

Research outputs 2022 to 2026

Saltmarshes are known for their ability to act as effective sinks of organic carbon (OC) and their protection and restoration could potentially slow down the pace of global warming. However, regional estimates of saltmarsh OC storage are often missing, including for the Nordic region. To address this knowledge gap, we assessed OC storage and accumulation rates in 17 saltmarshes distributed along the Danish coasts and investigated the main drivers of soil OC storage. Danish saltmarshes store a median of 10 kg OC m−2 (interquartile range, IQR: 13.5–7.6) in the top meter and sequester 31.5 g OC m−2 yr−1 (IQR: 41.6–15.7). …

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Simulating Compatible Solute Biosynthesis Using A Metabolic Flux Model Of The Biomining Acidophile, Acidithiobacillus Ferrooxidans Atcc 23270, Himel N. Khaleque, Hadi Nazem-Bokaee, Yosephine Gumulya, Ross P. Carlson, Anna H. Kaksonen Jan 2024

Simulating Compatible Solute Biosynthesis Using A Metabolic Flux Model Of The Biomining Acidophile, Acidithiobacillus Ferrooxidans Atcc 23270, Himel N. Khaleque, Hadi Nazem-Bokaee, Yosephine Gumulya, Ross P. Carlson, Anna H. Kaksonen

Research outputs 2022 to 2026

Halotolerant, acidophilic, bioleaching microorganisms are crucial to biomining operations that utilize saline water. Compatible solutes play an important role in the adaptation of these microorganisms to saline environments. Acidithiobacillus ferrooxidans ATCC 23270, an iron- and sulfur-oxidizing acidophilic bacterium, synthesizes trehalose as its native compatible solute but is still sensitive to salinity. Recently, halotolerant bioleaching bacteria were found to use ectoine as their key compatible solute. Previously, bioleaching bacteria were recalcitrant to genetic manipulation; however, recent advancements in genetic tools and techniques allow successful genetic modification of A. ferrooxidans ATCC 23270. Therefore, this study aimed to test, in silico, the effect …

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An Ecosystem Of Knowledge: Relationality As A Framework For Teachers To Infuse Indigenous Perspectives In Curriculum, Maryanne Macdonald, Sarah Booth, Libby Jackson-Barrett Jan 2024

An Ecosystem Of Knowledge: Relationality As A Framework For Teachers To Infuse Indigenous Perspectives In Curriculum, Maryanne Macdonald, Sarah Booth, Libby Jackson-Barrett

Research outputs 2022 to 2026

New data is presented from two studies involving thirteen practising secondary teachers and twelve pre-service early childhood, primary and secondary teachers in Australia. The first study explored how non-Indigenous practising teacher identities, shaped by external and policy discourse, create obstacles to teachers’ willingness and confidence in infusing Indigenous perspectives in curriculum. With this knowledge in hand, the researchers utilised a Design-Based Research methodology to conduct a second study with pre-service (ITE) teachers, exploring the power of relationality as a framework to re-shape non-Indigenous pre-service teachers’ conceptualisation of racial and place-based identity. By enabling non-Indigenous pre-service teachers to construct an authentic …

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Malware Detection With Artificial Intelligence: A Systematic Literature Review, Matthew G. Gaber, Mohiuddin Ahmed, Helge Janicke Jan 2024

Malware Detection With Artificial Intelligence: A Systematic Literature Review, Matthew G. Gaber, Mohiuddin Ahmed, Helge Janicke

Research outputs 2022 to 2026

In this survey, we review the key developments in the field of malware detection using AI and analyze core challenges. We systematically survey state-of-the-art methods across five critical aspects of building an accurate and robust AI-powered malware-detection model: malware sophistication, analysis techniques, malware repositories, feature selection, and machine learning vs. deep learning. The effectiveness of an AI model is dependent on the quality of the features it is trained with. In turn, the quality and authenticity of these features is dependent on the quality of the dataset and the suitability of the analysis tool. Static analysis is fast but is …

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Aboriginal Students’ Journeys To University – Privileging Our Sovereign Voices, Renae Isaacs-Guthridge Jan 2024

Aboriginal Students’ Journeys To University – Privileging Our Sovereign Voices, Renae Isaacs-Guthridge

Research outputs 2022 to 2026

Since invasion the trajectory of colonial education in Australia has been linear; most students are expected to complete primary and secondary education, and, if accepted, seamlessly transition to university by 18 years of age. The reality is that many students do not experience continuity in their education, let alone reach university, and this can be particularly problematic for Aboriginal and Torres Strait Islander students (Australian Institute of Health and Welfare, 2024; Productivity Commission, 2024). Put simply, Australia’s education system continues to fail many Aboriginal and Torres Strait Islander students, further silencing our sovereign voices. Drawing on an Indigenist research paradigm …

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Developing International Guidance To Make Impact Assessment Follow-Up Happen–Reflections On An Interactive Design Process, Angus Morrison-Saunders, Jos Arts, Annette Nykiel, Bruce Muir, Richard Morgan, Patricia Fitzpatrick, Ciaran O’Faircheallaigh, Alberto Fonseca, Charlotta Faith-Ell, Ainhoa González, Jan Albert Wessels, Gesa Geißler, Luis Sánchez, Urmila Jha-Thakur, William Ross, John Glasson Jan 2024

Developing International Guidance To Make Impact Assessment Follow-Up Happen–Reflections On An Interactive Design Process, Angus Morrison-Saunders, Jos Arts, Annette Nykiel, Bruce Muir, Richard Morgan, Patricia Fitzpatrick, Ciaran O’Faircheallaigh, Alberto Fonseca, Charlotta Faith-Ell, Ainhoa González, Jan Albert Wessels, Gesa Geißler, Luis Sánchez, Urmila Jha-Thakur, William Ross, John Glasson

Research outputs 2022 to 2026

To advance impact assessment (IA) practice worldwide the International Association for Impact Assessment (IAIA) has long promoted and published a series of international best practice principles, including the recently revised best practice principles for IA follow-up. IA follow-up refers to any kind of undertaking that seeks to ‘understand the outcomes of projects or plans’ that have been subject to IA. To support the implementation of these principles worldwide, a global guidance document has been developed (published by IAIA in 2024). The aims of this paper are to report on the approach undertaken to this guidance, applying a Delphi method, and …

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Effective Land Use Classification Through Hybrid Transformer Using Remote Sensing Imagery, Muhammad Zia Ur Rehman, Syed Mohammed Shamsul Islam, Anwaar Ulhaq, David Blake, Naeem Janjua Jan 2024

Effective Land Use Classification Through Hybrid Transformer Using Remote Sensing Imagery, Muhammad Zia Ur Rehman, Syed Mohammed Shamsul Islam, Anwaar Ulhaq, David Blake, Naeem Janjua

Research outputs 2022 to 2026

Recent advances in deep learning for hyperspectral image (HSI) classification have shown exceptional performance in resource management and environmental planning through land use classification. Despite these successes, challenges continue to persist in land use classification due to the complex topology of natural and man-made structures. The uneven distribution of land cover introduces spectral-spatial variability, causing inter- and intra-class similarity. To address this issue, this study adopts a hybrid approach that combines convolutional neural networks (CNNs) and a transformer model. The technique comprises three key components: a spectral-spatial convolutional module (SSCM), a spatial attention module (SAM), and a transformer module. Each …

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Identifying And Filling Critical Knowledge Gaps Can Optimize Financial Viability Of Blue Carbon Projects In Tidal Wetlands, Tim J.B. Carruthers, S. Beaux Jones, Megan K. Terrell, Jonathan F. Scheibly, Brendan J. Player, Valerie A. Black, Justin R. Ehrenwerth, Patrick D. Biber, Rod M. Connolly, Steve Crooks, Jason P. Curole, Kelly M. Darnell, Alyssa M. Dausman, Allison L. Dejong, Shawn M. Doyle, Christopher R. Esposito, Daniel A. Friess, James W. Fourqurean, Ioannis Y. Georgiou, Gabriel D. Grimsditch, Songjie He, Eva R. Hillmann, Guerry O. Holm, Jennifer Howard, Hoonshin Jung, Stacy D. Jupiter, Paul S. Lavery Jan 2024

Identifying And Filling Critical Knowledge Gaps Can Optimize Financial Viability Of Blue Carbon Projects In Tidal Wetlands, Tim J.B. Carruthers, S. Beaux Jones, Megan K. Terrell, Jonathan F. Scheibly, Brendan J. Player, Valerie A. Black, Justin R. Ehrenwerth, Patrick D. Biber, Rod M. Connolly, Steve Crooks, Jason P. Curole, Kelly M. Darnell, Alyssa M. Dausman, Allison L. Dejong, Shawn M. Doyle, Christopher R. Esposito, Daniel A. Friess, James W. Fourqurean, Ioannis Y. Georgiou, Gabriel D. Grimsditch, Songjie He, Eva R. Hillmann, Guerry O. Holm, Jennifer Howard, Hoonshin Jung, Stacy D. Jupiter, Paul S. Lavery

Research outputs 2022 to 2026

One of the world’s largest “blue carbon” ecosystems, Louisiana’s tidal wetlands on the US Gulf of Mexico coast, is rapidly being lost. Louisiana’s strong legal, regulatory, and monitoring framework, developed for one of the world’s largest tidal wetland systems, provides an opportunity for a programmatic approach to blue carbon accreditation to support restoration of these ecologically and economically important tidal wetlands. Louisiana’s coastal wetlands span ∼1.4 million ha and accumulate 5.5–7.3 Tg yr−1 of blue carbon (organic carbon), ∼6%–8% of tidal marsh blue carbon accumulation globally. Louisiana has a favorable governance framework to advance blue carbon accreditation, due to centralized …

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Optimal Operation Of An Islanded Hybrid Energy System Integrating Power And Gas Systems, Mehrdad Ghahramani, Daryoush Habibi, Seyyedmorteza Ghamari, Asma Aziz Jan 2024

Optimal Operation Of An Islanded Hybrid Energy System Integrating Power And Gas Systems, Mehrdad Ghahramani, Daryoush Habibi, Seyyedmorteza Ghamari, Asma Aziz

Research outputs 2022 to 2026

Remote communities and geographically isolated areas require a secure supply of energy. Isolated hybrid energy systems offer an effective and reliable solution for delivering power to these regions. However, shifting to renewable energy sources introduces uncertainty challenges for low-inertia stand-alone systems. In this paper, we propose a two-stage energy management strategy to address the uncertainties of wind generation and load consumption while minimizing operational expenses. Furthermore, the study explores the integration of multi-carrier energy networks, in this case electricity and gas, to enhance the reliability of hybrid energy systems. Two modeling methods are proposed to tackle the uncertainties. First, a …

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Spatially-Aware Speaker For Vision-And-Language Navigation Instruction Generation, Muraleekrishna Gopinathan, Martin Masek, Jumana Abu-Khalaf, David Suter Jan 2024

Spatially-Aware Speaker For Vision-And-Language Navigation Instruction Generation, Muraleekrishna Gopinathan, Martin Masek, Jumana Abu-Khalaf, David Suter

Research outputs 2022 to 2026

Embodied AI aims to develop robots that can understand and execute human language instructions, as well as communicate in natural languages. On this front, we study the task of generating highly detailed navigational instructions for the embodied robots to follow. Although recent studies have demonstrated significant leaps in the generation of step-by-step instructions from sequences of images, the generated instructions lack variety in terms of their referral to objects and landmarks. Existing speaker models learn strategies to evade the evaluation metrics and obtain higher scores even for low-quality sentences. In this work, we propose SAS (Spatially-Aware Speaker), an instruction generator …

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Identifying And Promoting Qualitative Methods For Impact Assessment, Heidi Walker, Jenny Pope, Angus Morrison-Saunders, Alan Bond, Alan P. Diduck, A. John Sinclair, Brendan Middel, Francois Retief Jan 2024

Identifying And Promoting Qualitative Methods For Impact Assessment, Heidi Walker, Jenny Pope, Angus Morrison-Saunders, Alan Bond, Alan P. Diduck, A. John Sinclair, Brendan Middel, Francois Retief

Research outputs 2022 to 2026

Qualitative methods for impact assessment (IA) represent a broad spectrum of approaches that are important for realising effective IA practice. The purpose of this paper is to identify and promote qualitative methods that are available for use in contemporary and future (next-generation) IA processes. From an extensive literature review, an international survey (145 responses), expert interviews (48 interviewees), and a workshop attended by 27 IA practitioners, 17 qualitative method categories were identified. These were further subdivided into three classes: conventional qualitative methods, highly participatory methods, and mixed methods. Each method is described, and an indication given of how each can …

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Students' Preferences For Setting And/Or Mixed-Ability Grouping In Secondary School Physical Education In England, Shaun D. Wilkinson, Dawn Penney Jan 2024

Students' Preferences For Setting And/Or Mixed-Ability Grouping In Secondary School Physical Education In England, Shaun D. Wilkinson, Dawn Penney

Research outputs 2022 to 2026

There is an extensive international literature on different forms of ability grouping in schools, much of which describes their impact on students' academic achievement, motivation, self-concept and/or attitudes towards learning. Comparatively little research has focused on students' perspectives of these practices, while the research that has been conducted has primarily focused on mathematics, English and science. There is a conspicuous and arguably significant absence of research that explores students' perspectives on different forms of ability grouping in other areas of the school curriculum, including physical education (PE). In contrast to the relative privacy of classroom-based subjects, students' bodies, physical competencies …

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The Ithildin Library For Efficient Numerical Solution Of Anisotropic Reaction-Diffusion Problems In Excitable Media, Desmond Kabus, Marie Cloet, Christian Zemlin, Olivier Bernus, Hans Dierckx Jan 2024

The Ithildin Library For Efficient Numerical Solution Of Anisotropic Reaction-Diffusion Problems In Excitable Media, Desmond Kabus, Marie Cloet, Christian Zemlin, Olivier Bernus, Hans Dierckx

2020-Current year OA Pubs

Ithildin is an open-source library and framework for efficient parallelized simulations of excitable media, written in the C++ programming language. It uses parallelization on multiple CPU processors via the message passing interface (MPI). We demonstrate the library's versatility through a series of simulations in the context of the monodomain description of cardiac electrophysiology, including the S1S2 protocol, spiral break-up, and spiral waves in ventricular geometry. Our work demonstrates the power of Ithildin as a tool for studying complex wave patterns in cardiac tissue and its potential to inform future experimental and theoretical studies. We publish our full code with this …

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Electrostatic Sorting Of Lunar Regolith Simulants For Sustainable Resource Utilization: Modeling And Characterization Of Particle Size Distribution, Abdullah Al Moinee, Peter Bachle, Kyle Newport, William Schonberg, David Bayless, Jeffrey Smith, Daoru Han, Fateme Rezaei Jan 2024

Electrostatic Sorting Of Lunar Regolith Simulants For Sustainable Resource Utilization: Modeling And Characterization Of Particle Size Distribution, Abdullah Al Moinee, Peter Bachle, Kyle Newport, William Schonberg, David Bayless, Jeffrey Smith, Daoru Han, Fateme Rezaei

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

In pursuit of sustainable resource utilization on the Moon, this paper delves into modeling and characterization of particle size distribution (PSD) of lunar regolith simulants in an electrostatic system. A prototype electrostatic sieve was built and tested with four sample simulants mirroring properties of lunar mare and highland regolith. An alternating four-phase (90 degrees, 180 degrees, 270 degrees, 360 degrees) traveling square-wave was utilized for particle-directed transport to model the diverse trajectories of the particles. Numerically, we scrutinized how the distribution functions of the particles are manifested as the electrostatic field propagates, with a focus on three distinct particle ranges …

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Electrostatic Sorting Of Lunar Regolith Simulants For Sustainable Resource Utilization: Modeling And Characterization Of Particle Size Distribution, Abdullah Al Moinee, Peter Bachle, Kyle Newport, William Schonberg, David Bayless, Jeffrey Smith, Daoru Han, Fateme Rezaei Jan 2024

Electrostatic Sorting Of Lunar Regolith Simulants For Sustainable Resource Utilization: Modeling And Characterization Of Particle Size Distribution, Abdullah Al Moinee, Peter Bachle, Kyle Newport, William Schonberg, David Bayless, Jeffrey Smith, Daoru Han, Fateme Rezaei

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

In pursuit of sustainable resource utilization on the Moon, this paper delves into modeling and characterization of particle size distribution (PSD) of lunar regolith simulants in an electrostatic system. a prototype electrostatic sieve was built and tested with four sample simulants mirroring properties of lunar mare and highland regolith. an alternating four-phase (90 degrees, 180 degrees, 270 degrees, 360 degrees) traveling square-wave was utilized for particle-directed transport to model the diverse trajectories of the particles. Numerically, we scrutinized how the distribution functions of the particles are manifested as the electrostatic field propagates, with a focus on three distinct particle ranges …

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A Neural Mechanism For Conserved Value Computations Integrating Information And Rewards, Ethan S Bromberg-Martin, Yang-Yang Feng, Takaya Ogasawara, J Kael White, Kaining Zhang, Ilya E Monosov Jan 2024

A Neural Mechanism For Conserved Value Computations Integrating Information And Rewards, Ethan S Bromberg-Martin, Yang-Yang Feng, Takaya Ogasawara, J Kael White, Kaining Zhang, Ilya E Monosov

2020-Current year OA Pubs

Behavioral and economic theory dictate that we decide between options based on their values. However, humans and animals eagerly seek information about uncertain future rewards, even when this does not provide any objective value. This implies that decisions are made by endowing information with subjective value and integrating it with the value of extrinsic rewards, but the mechanism is unknown. Here, we show that human and monkey value judgements obey strikingly conserved computational principles during multi-attribute decisions trading off information and extrinsic reward. We then identify a neural substrate in a highly conserved ancient structure, the lateral habenula (LHb). LHb …

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A Holistic Approach To Exploring The Root Factors Of Work Zone Accidents, Bahaa Chammout, Muaz O. Ahmed, Islam H. El-Adaway, William Lieser Jan 2024

A Holistic Approach To Exploring The Root Factors Of Work Zone Accidents, Bahaa Chammout, Muaz O. Ahmed, Islam H. El-Adaway, William Lieser

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Work zones are crucial for infrastructure maintenance and improvement. However, ongoing projects within work zones sometimes can place workers and drivers in dangerous situations. Despite safety regulations, work zone accidents persist with notable severity and frequency. Previous research has explored work zone accident causation, but it has not provided a comprehensive understanding of the factors that impact work zone safety. This paper addresses this research gap by following a multistep methodology. First, a systematic literature review (SLR) was conducted to identify a comprehensive list of 37 factors impacting work zone safety. Second, social network analysis (SNA) was employed to analyze …

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Enhancing Pricing Practices Of Subcontractors: A Comparative Analysis Using Simulation Modeling, Muaz O. Ahmed, Islam H. El-Adaway, Kalyn T. Coatney Jan 2024

Enhancing Pricing Practices Of Subcontractors: A Comparative Analysis Using Simulation Modeling, Muaz O. Ahmed, Islam H. El-Adaway, Kalyn T. Coatney

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The construction industry often relies on subcontracting, where subcontractors bid for portions of a project before general contractors bid for the entire project in a process referred to as multi-stage bidding (MSG). MSG can be complex, and winning bidders may be burdened with underestimating their bids and encountering the winner's curse. Despite various studies investigating this issue, further research is necessary to examine bidding strategies for subcontractors. This paper addresses this research need by exploring and comparing how bidding strategies based on reinforcement learning and game theory could aid subcontractors in mitigating the winner's curse in MSG. The authors used …

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System Dynamics Modeling For Investigating The Retention Of Skilled Labor In The Construction Market, Tamima Elbashbishy, Islam H. El-Adaway Jan 2024

System Dynamics Modeling For Investigating The Retention Of Skilled Labor In The Construction Market, Tamima Elbashbishy, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Limited skilled labor has been one of the greatest challenges facing the construction industry, especially after COVID. In 2019, around 80% of contractors in the US reported problems in hiring enough skilled workers. Labor retention has been one of the major contributors to skilled labor shortages in construction. The goal of this paper is to study the impact of key construction industry characteristics and economic conditions on skilled labor shortages. This goal is achieved by simulating the flow of skilled workers throughout the construction industry. To this end, a system dynamics (SD) model was developed to represent skilled labor and …

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Exploring The Root Factors Impacting Work Zone Accidents: A Mixed-Methods Study, Bahaa Chammout, Muaz O. Ahmed, Islam H. El-Adaway Jan 2024

Exploring The Root Factors Impacting Work Zone Accidents: A Mixed-Methods Study, Bahaa Chammout, Muaz O. Ahmed, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Work Zones Are Vital For Improving Infrastructural Utilities Yet Pose Significant Dangers For Workers And Drivers Who Are Often Unfamiliar With These Areas. Prior Research Examined Various Aspects Of Work Zone Accident Causation; However, The Interrelationships And Critical Combinations Among The Contributing Factors Have Not Been Fully Analyzed. This Study Aims To Identify The Underlying Factors Contributing To Work Zone Accidents And Evaluate The Different Combinations Among Them. To This Purpose, Accident Factors Were Derived From A Total Of 133 Research Articles Addressing Work Zone Safety. Social Network Analysis (SNA) And Clustering Were Used To Comprehensively Model The Identified Factors. …

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Investigating Price Fluctuation Transmission Among Construction Materials, Mohamad Abdul Nabi, Islam H. El-Adaway, Rayan H. Assaad Jan 2024

Investigating Price Fluctuation Transmission Among Construction Materials, Mohamad Abdul Nabi, Islam H. El-Adaway, Rayan H. Assaad

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Generally, Fluctuation In One Material's Price Can Cause A Series Of Chain Reactions In The Supply Chain System, Known As Price Fluctuation Transmission, As All Materials Are Interconnected And Interrelated. None Of The Previous Studies Have Investigated Price Fluctuation Transmission Among All Construction Materials. This Paper Aims To Fill This Gap In Knowledge. The Authors Collected Producer Price Index (PPI) Data For 16 Construction Materials, Modeled The Relationship Between Each Pair Of Materials Using Vector Autoregression Technique, And Validated The Causality Using Granger Causality Test. Network Analysis Was Performed To Identify The Price Fluctuation Transmission Capacity, Susceptibility, And Intermediatory Capacity …

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You Don’T Have To Be Their Best Friend: Complicating The Instructor-Student Relationship Through A Mixed-Method Typology, Jessalyn I. Vallade, Kyle Rudick Jan 2024

You Don’T Have To Be Their Best Friend: Complicating The Instructor-Student Relationship Through A Mixed-Method Typology, Jessalyn I. Vallade, Kyle Rudick

Journal of Communication Pedagogy

The purpose of this study was to explore the nuances of instructor-student relationships with a nationally representative sample of students. Participants were randomly assigned to describe relationships with their best, worst, and/or last instructor and rate their satisfaction with each relationship, and the level of closeness with the instructor. Coding of student descriptions revealed 13 themes, organized into six pairs of constructive/destructive relationship anchors and one neutral category (Professional Relationship). Importantly, professional relationships were not as close as constructive relationships but were equally satisfying, indicating the closeness in instructor-student relationships has diminishing returns. Results are discussed in the context of …

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Ai Trustworthy: Ethical Challenges And Strategies, Jian Liu, Iwan Sandjaja, Donald C. Wunsch Jan 2024

Ai Trustworthy: Ethical Challenges And Strategies, Jian Liu, Iwan Sandjaja, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This paper explores the pivotal role of trust in the widespread application of Artificial Intelligence (AI) across various domains. We review AI applications in sectors like energy, healthcare, and autonomous vehicles and discuss the crisis of human trust they face. This paper introduces a novel framework that delineates the relationship between AI transparency and user trust, highlighting specific industry applications. Through a systematic review of recent literature, we first delve into factors such as emotional response, acceptance, transparency, accuracy, and interpretability that shape human trust in AI. We then underscore the necessity of ethical AI practices and highlight the importance …

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Enhancing Flight Delay Predictions Using Network Centrality Measures, Joseph Ajayi Jan 2024

Enhancing Flight Delay Predictions Using Network Centrality Measures, Joseph Ajayi

College of Graduate Studies: Theses & Dissertations

Accurate prediction of flight delays remains a formidable challenge within the aviation industry, owing to its inherent complexity and the interconnectivity of its operations. Traditional flight prediction methods frequently utilize meteorological conditions—such as temperature, humidity, and dew point—alongside flight-specific data like departure and arrival times. However, these predictors often fall short of capturing the nuanced dynamics that lead to delays. This thesis introduces network centrality measures as novel predictors for enhancing the binary classification of flight arrival delays. Furthermore, it emphasizes the application of tree-based ensemble models, which are recognized for their superior ability to model complex relationships compared to …

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Characterization Of Nasa Cold Atom Laboratory Potentials Using Variational Techniques, Samuel O. Oni Jan 2024

Characterization Of Nasa Cold Atom Laboratory Potentials Using Variational Techniques, Samuel O. Oni

College of Graduate Studies: Theses & Dissertations

In a recent atom-interferometry (AI) experiment, conducted aboard the NASA Cold Atom Laboratory (CAL) deployed to the International Space Station (ISS), a Bose-Einstein condensate (BEC) was formed too near to the atom chip wall for the AI experiment to be carried out. To fix this the experimentalists tuned the CAL external magnetic field and atom-chip currents so as to move the BEC away from the atom-chip wall. They then planned to turn the trap off and allow it to expand in place (since there is no gravity on the ISS) in preparation for the AI experiment. Unfortunately, when the trap …

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Reinforcement Learning: Applying Low Discrepancy Action Selection To Deep Deterministic Policy Gradient, Aleksandr Svishchev Jan 2024

Reinforcement Learning: Applying Low Discrepancy Action Selection To Deep Deterministic Policy Gradient, Aleksandr Svishchev

College of Graduate Studies: Theses & Dissertations

Reinforcement learning (RL) is a subfield of machine learning concerned with agents learning to behave optimally by interacting with an environment. One of the most important topics in RL is how the agent should explore, that is, how to choose actions in order to rate their impact on long-term reward. For example, a simple baseline strategy might be uniformly random action selection. This thesis investigates the heuristic idea that agents will learn faster if they explore by factoring the environment’s state into their decision and intentionally choose actions which are as different as possible from what they have previously observed. …

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