Digital Commons Network^™

Ai-Analyst: An Ai-Assisted Sdlc Analysis Framework For Business Cost Optimization, Nuruzzaman Faruqui, Priyabrata Thatoi, Rohit Choudhary, Ivana Roncevic, Hamed Alqahtani, Iqbal H. Sarker, Shapla Khanam

Research outputs 2022 to 2026

Managing the System Development Lifecycle (SDLC) is a complex task because of its involvement in coordinating diverse activities, stakeholders, and resources while ensuring project goals are met efficiently. The complex nature of the SDLC process leaves plenty of scope for human error, which impacts the overall business cost. This paper introduces AI-Analyst, an AI-assisted framework developed using the transformer-based model with more than 150 million parameters to assist with SDLC management. It minimizes manual effort errors, optimizes resource allocation, and improves decision-making processes, resulting in substantial cost savings. The statistical analysis shows that it saves around 53.33% of costs in …

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 …

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 …

Performance Measurement In A Custom Production Process Model Using The Process Mining Approach: A Systematic Literature Review, Wawa Wikusna, Mustafid, Ferry Jie

Research outputs 2022 to 2026

This study aims to explore and develop a method for measuring supply chain performance influenced by customer demand in custom product production. The research method used is a systematic literature review, focusing on measuring key indicators and evaluating supply chain performance. This study highlights the importance of Key Performance Indicators (KPIs) as an evaluation tool, which helps make decisions more effective and efficient in the supply chain. By using the Supply Chain Operation Reference (SCOR) model supported by the Analytic Hierarchy Process (AHP) and the normalization of the Snorm De Boer Score, this study shows a systematic measurement process from …

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 …

Characterizing The Extent And Nature Of Digital Food And Beverage Marketing In Singapore – A Descriptive Study, Xin Hui Chua, Clare Whitton, Stefanie Vandevijvere, Bridget Kelly, Rob M. Van Dam, Salome A. Rebello

Research outputs 2022 to 2026

Objective: To characterize the nature of digital food and beverage advertising in Singapore Setting: Food and beverage advertisements within 20 clicks on top 12 non-food websites and all posts on Facebook and Instagram pages of 15 major food companies in Singapore were sampled from January 1 to June 30, 2018. Design: Advertised foods were classified as being core (healthier), non-core or mixed-dishes (example burger) using the WHO nutrient profile model and national guidelines. Marketing techniques were assessed using published coding frameworks. Participants: NA Results: Advertisements (n=117) on the 12 non-food websites were largely presented as editorial content. Food companies posted …

A Regime Of Statutes: Building A Modern President In Gilded Age America (1873-1921), Andrea Scoseria Katz

Scholarship@WashULaw

At a time when the Supreme Court is turning its sights on the administrative state and enhancing the profile and powers of the president, it is worth recalling that behind our national complex of agencies lies a constitutional settlement that has structured government for approximately one hundred and thirty years. Its roots lie in the period from 1873-1921, and its defining values are interbranch cooperation, delegated problem-solving authority, and administrative expertise. This Article proposes to tell its story.

A century and a half ago, America was just healing from its Civil War wounds when a host of new problems descended: …

Less Discriminatory Algorithms, Pauline Kim, Emily Black, John Logan Koepke, Solon Barocas, Mingwei Hsu

Scholarship@WashULaw

Entities that use algorithmic systems in traditional civil rights domains like housing, employment, and credit should have a duty to search for and implement less discriminatory algorithms (LDAs). Why? Work in computer science has established that, contrary to conventional wisdom, for a given prediction problem there are almost always multiple possible models with equivalent performance—a phenomenon termed model multiplicity. Critically for our purposes, different models of equivalent performance can produce different predictions for the same individual, and, in aggregate, exhibit different levels of impacts across demographic groups. As a result, when an algorithmic system displays a disparate impact, model multiplicity …

Lawyering In The Age Of Artificial Intelligence, Jonathan H. Choi, Monahan Amy, Daniel Schwarcz

Scholarship@WashULaw

We conducted the first randomized controlled trial to study the effect of AI assistance on human legal analysis. We randomly assigned law school students to complete realistic legal tasks either with or without the assistance of GPT-4, tracking how long the students took on each task and blind-grading the results. We found that access to GPT-4 only slightly and inconsistently improved the quality of participants’ legal analysis but induced large and consistent increases in speed. AI assistance improved the quality of output unevenly—where it was useful at all, the lowest-skilled participants saw the largest improvements. On the other hand, AI …

Independence Through Judicialization: The Politics Surrounding Administrative Adjudicators 1929-1949, Lawrence J. Liu

Scholarship@WashULaw

One front in today’s battle to define the scope of the administrative state concerns the authority, status, and future of its 10,000-plus administrative adjudicators. Decisions by federal courts and the executive branch to increase the dependence of administrative adjudicators on the executive have sparked strong reactions from observers, with many advocating for measures to increase adjudicator “independence.” But who should administrative adjudicators be independent of, which ought to be independent, and why? Calls for administrative adjudicator independence are not new. This Article draws on primary documents produced by private actors, congressional decisionmakers, and federal executive agents to present a political …

A Proposed Technique Using Machine Learning For The Prediction Of Diabetes Disease Through A Mobile App, M. Samir Abou El-Seoud

Computer Science

With the increasing prevalence of diabetes in Saudi Arabia, there is a critical need for early detection and prediction of the disease to prevent long-term health complications. This study addresses this need by using machine learning (ML) techniques applied to the Pima Indians dataset and private diabetes datasets through the implementation of a computerized system for predicting diabetes. In contrast to prior research, this study employs a semi-supervised model combined with strong gradient boosting, effectively predicting diabetes-related features of the dataset. Additionally, researchers employ the SMOTE technique to deal with the problem of imbalanced classes. Ten ML classification techniques, including …

Redistributing Justice, Benjamin Levin, Kate Levine

Scholarship@WashULaw

This article surfaces an obstacle to decarceration hiding in plain sight: progressives’ continued support for the carceral system. Despite increasingly prevalent critiques of criminal law from progressives, there hardly is a consensus on the left in opposition to the carceral state. Many left-leaning academics and activists who may critique the criminal system writ large remain enthusiastic about criminal law in certain areas—often areas where defendants are imagined as powerful and victims as particularly vulnerable. In this article, we offer a novel theory for what animates the seemingly conflicted attitude among progressives toward criminal punishment—the hope that the criminal system can …

Against Engagement, Neil M. Richards, Woodrow Hartzog

Scholarship@WashULaw

In this Article, we focus on a key dimension of commercial surveillance by data-intensive digital platforms that is too often treated as a supporting cast member instead of a star of the show: the concept of engagement. Engagement is, simply put, a measure of time, attention, and other interactions with a service. The economic logic of engagement is simple: more engagement equals more ads watched equals more revenue. Engagement is a lucrative digital business model, but it is problematic in several ways that lurk beneath the happy sloganeering of a “free” internet.

Our goal in this Article is to isolate …

Antitrust, Amazon, And Algorithmic Auditing, Jens Frankenreiter, Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Stefan Bechtold, Krishna P. Gummadi

Scholarship@WashULaw

In digital markets, antitrust law and special regulations aim to ensure that markets remain competitive despite the dominating role that digital platforms play today in everyone's life. Unlike traditional markets, market participant behavior is easily observable in these markets. We present a series of empirical investigations into the extent to which Amazon engages in practices that are typically described as self-preferencing. We discuss how the computer science tools used in this paper can be used in a regulatory environment that is based on algorithmic auditing and requires regulating digital markets at scale.

Sticky Charters? The Surprisingly Tepid Embrace Of Officer-Protecting Waivers In Delaware, Jens Frankenreiter, Eric L. Talley

Scholarship@WashULaw

This article investigates the reaction to a much-heralded 2022 legal reform in Delaware that permitted a corporation’s charter to exculpate its officers from monetary exposure for breaching their fiduciary duty of care. To isolate reactions to this statutory reform, we make extensive use of generative AI tools to identify and interpret charter amendments that introduce officer-facing waivers. We find a surprisingly tepid rate of uptake among Delaware corporations through the end of the first post-reform year, notwithstanding widespread predictions that corporate entities would quickly storm the exculpation exits once permitted to do so.

Our study makes two contributions to the …

Sex & Startups, Jens Frankenreiter, Talia B. Gillis, Eric L. Talley

Scholarship@WashULaw

Venture capital is widely perceived to have a gender problem. Both founders seeking capital and the investors themselves are overwhelmingly male, fomenting concerns about how—and how fairly—the VC sector distributes its economic gains. Although gender disparities in funding are well documented, we still know little about whether the governance of VC-backed startups similarly manifests gender imbalances. This knowledge gap is critical, since VC investments often carry strings attached, in the form of cash flow and control rights that can vary substantially from deal to deal.

This study unveils a first-of-its-kind dataset that offers detailed insights into the governance of VC-backed …

Economic Material For Large-Scale H2 Storage And H2-Co2 Separation, Hussein R. Abid, Alireza Keshavarz, Header Jaffer, Basim K. Nile, Stefan Iglauer

Research outputs 2022 to 2026

Hydrogen is a clean fuel that can potentially completely decarbonize the energy supply chain and mitigate global warming. Hydrogen – a highly volatile gas – however, needs to be separated from CO2 during H2 production, and also from cushion gas in H2 geo-storage projects; in addition, large-scale H2 storage is a key obstacle. We thus tested and chemically upgraded common sub-bituminous coal as a material for H2-CO2 separation and H2 storage. The coal adsorbed significant amounts of H2 and CO2 and demonstrated an excellent H2-CO2 separation efficiency if chemically modified. The work presented here thus provides fundamental data required for …

Energy Management And Sizing Of A Stand-Alone Hybrid Renewable Energy System For Community Electricity, Fresh Water, And Cooking Gas Demands Of A Remote Island, Mim M. Ahmed, Barun K. Das, Pronob Das, Md S. Hossain, Md G. Kibria

Research outputs 2022 to 2026

Research into the off-grid hybrid energy system to provide reliable electricity to a remote community has extensively been done. However, simultaneous meeting electric, freshwater, and gas demands from the off-grid hybrid energy sources are very scarce in literature. Power- to-X (PtX) is gaining attention in recent days in the energy transition scenarios to generate green hydrogen, the primary product of the process as an energy carrier, which is deemed to replace conventional fuels to reach absolute carbon neutrality. In this study, renewable–based hybrid energy is developed to simultaneously meet the electricity, freshwater, and gas (cooking gas via methanation process) demands …

Recent Advances In Surface Tailoring Of Thin Film Forward Osmosis Membranes: A Review, Javad Farahbakhsh, Mitra Golgoli, Mehdi Khiadani, Mohadeseh Najafi, Wafa Suwaileh, Amir Razmjou, Masoumeh Zargar

Research outputs 2022 to 2026

The recent advancements in fabricating forward osmosis (FO) membranes have shown promising results in desalination and water treatment. Different methods have been applied to improve FO performance, such as using mixed or new draw solutions, enhancing the recovery of draw solutions, membrane modification, and developing FO-hybrid systems. However, reliable methods to address the current issues, including reverse salt flux, fouling, and antibacterial activities, are still in progress. In recent decades, surface modification has been applied to different membrane processes, including FO membranes. Introducing nanochannels, bioparticles, new monomers, and hydrophilic-based materials to the surface layer of FO membranes has significantly impacted …

Sandstone Wettability And Mixed Gas Composition: Unraveling The Impact Of Co2 In Hydrogen Geo-Storage, Zoha D. Isfehani, Amirmansour J. Jafari, Jalal Fahimpour, Mirhasan Hosseini, Stefan Iglauer, Alireza Keshavarz

Research outputs 2022 to 2026

Underground hydrogen storage (UHS) is gaining interest as a secure, long-term solution for storing hydrogen in porous geological formations. In UHS, a cushion gas like CO2 is crucial to maintain the reservoir pressure and optimize recovery. The concept of wettability plays a fundamental role in determining the system's multi-phase displacement characteristics in the porous media. However, there is a gap in the existing literature regarding the wettability of sandstone rocks under geo-storage conditions when H2 and CO2 are injected as the bulk and cushion gases, respectively. To address this gap, we conducted a study investigating the wettability hysteresis phenomenon by …

Criteria And Indicators For Centers Of Clinical Excellence In Stroke Recovery And Rehabilitation: A Global Consensus Facilitated By Isrra, Rachel C. Stockley, Marion F. Walker, Margit A. Murphy, Noor A. A. Aziz, Philemon Amooba, Leonid Churliov, Amanda Farrin, Natalie A. Fini, Emma Ghaziani, Erin Godecke, Tania Gutierrez-Panchana, Jie Jia, Thoshenthri Kandasamy, Patrice Lindsay, John Solomon, Vincent Thijs, Tierney Tindall, Donna C. Tippett, Caroline Watkins, Elizabeth Lynch

Research outputs 2022 to 2026

Background: The aim of the International Stroke Recovery and Rehabilitation Alliance is to create a world where worldwide collaboration brings major breakthroughs for the millions of people living with stroke. A key pillar of this work is to define globally relevant criteria for centers that aspire to deliver excellent clinical rehabilitation and generate exceptional outcomes for patients. Objectives: This paper presents consensus work conducted with an international group of expert stroke recovery and rehabilitation researchers, clinicians, and people living with stroke to identify and define criteria and measurable indicators for Centers of Clinical Excellence (CoCE) in stroke recovery and rehabilitation. …

Enhancing Water Safety: Exploring Recent Technological Approaches For Drowning Detection, Salman Jalalifar, Andrew Belford, Eila Erfani, Amir Razmjou, Rouzbeh Abbassi, Masoud Mohseni-Dargah, Mohsen Asadnia

Research outputs 2022 to 2026

Drowning poses a significant threat, resulting in unexpected injuries and fatalities. To promote water sports activities, it is crucial to develop surveillance systems that enhance safety around pools and waterways. This paper presents an overview of recent advancements in drowning detection, with a specific focus on image processing and sensor-based methods. Furthermore, the potential of artificial intelligence (AI), machine learning algorithms (MLAs), and robotics technology in this field is explored. The review examines the technological challenges, benefits, and drawbacks associated with these approaches. The findings reveal that image processing and sensor-based technologies are the most effective approaches for drowning detection …

Investigation Of Campylobacter Concisus Gastric Epithelial Pathogenicity Using Ags Cells, Christopher Y. M. Luk, Seul A. Lee, Nicholas Naidovski, Fang Liu, Alfred C. Y. Tay, Liang Wang, Stephen Riordan, Li Zhang

Research outputs 2022 to 2026

Campylobacter concisus is an oral bacterium. Recent studies suggest that C. concisus may be involved in human gastric diseases. The mechanisms, however, by which C. concisus causes human gastric diseases have not been investigated. Here we examined the gastric epithelial pathogenicity of C. concisus using a cell culture model. Six C. concisus strains and the human gastric epithelial cell line AGS cells were used. IL-8 produced by AGS cells after incubation with C. concisus was measured using enzyme-linked immunosorbent assay (ELISA), and AGS cell apoptosis was determined by caspase 3/7 activities. The effects of C. concisus on actin arrangement in …

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 …

The Use Of Variable Coil Pitch Of Helical Tube On The Hydro-Thermal Performance Improvement, Shayan Pourhemmati, Hussein A. Mohammed, Abdellah Shafieian

Research outputs 2022 to 2026

The use of helical tubes in heat transfer appliances is desirable due to their better heat transfer characteristics, but the higher pressure drop decreases the overall performance. The variation of pitch design of a helical tube is proposed to alleviate this situation so that the pitch number does not remain constant in the total tube length. A total of six variable pitch numbers with three different diameters are proposed and investigated on the thermal and fluid characteristics. To better understand the helical tube efficiency, PEC (performance evaluation criteria) is selected as a performance indicator in the present work and simulations …

Fluid Biomarkers In Cerebral Amyloid Angiopathy, Seyed M. Savar, Bin Ma, Eugene Hone, Farzana Jahan, Shaun Markovic, Steve Pedrini, Soudabeh Shemehsavar, Vandhana Easwaran, Kevin Taddei, Samantha Gardener, Jasmeer P. Chhatwal, Ellis S. Van Etten, Matthias J. P. Van Osch, Daniel Clarke, Anastazija Gnjec, Mark A. Van Buchem, Marieke J. H. Wermer, Graeme J. Hankey, Steven M. Greenberg, Ralph N. Martins, Hamid R. Sohrabi

Research outputs 2022 to 2026

Cerebral amyloid angiopathy (CAA) is a type of cerebrovascular disorder characterised by the accumulation of amyloid within the leptomeninges and small/medium-sized cerebral blood vessels. Typically, cerebral haemorrhages are one of the first clinical manifestations of CAA, posing a considerable challenge to the timely diagnosis of CAA as the bleedings only occur during the later disease stages. Fluid biomarkers may change prior to imaging biomarkers, and therefore, they could be the future of CAA diagnosis. Additionally, they can be used as primary outcome markers in prospective clinical trials. Among fluid biomarkers, blood-based biomarkers offer a distinct advantage over cerebrospinal fluid biomarkers …

Empowering Pro-Environmental Potential Among Hotel Employees: Insights From Self-Determination Theory, Ataul K. Patwary, S. M. Rasoolimanesh, Mohd H. Hanafiah, Roslizawati C. Aziz, Ahmad E. Mohamed, Muhammad U. Ashraf, Nor R. A. N. Azam

Research outputs 2022 to 2026

Purpose: This research examines the role of green, inclusive leadership, corporate social responsibility, and pro-environmental attitudes on proactive pro-environmental behaviour among hotel employees. It further examines the indirect effects of pro-environmental attitudes between green inclusive leadership, corporate social responsibility, and proactive pro-environmental behaviour, as well as the moderating role of psychological contract breach between pro-environmental attitudes and proactive pro-environmental behaviour.

Design/methodology/approach: The participants of this cross-sectional study were employees in the Malaysian hotel industry, and 374 usable questionnaires were used for data analysis. The data were analysed using Partial Least Squares – Structural Equation Modelling.

Findings: This study found that …

Opportunities And Challenges Posed By Disruptive And Converging Information Technologies For Australia's Future Defence Capabilities: A Horizon Scan, Pi-Shen Seet, Anton Klarin, Janice Jones, Mike Johnstone, Helen Cripps, Jalleh Sharafizad, Violetta Wilk, David Suter, Tony Marceddo

Research outputs 2022 to 2026

Introduction: The research project's objective was to conduct a comprehensive horizon scan of Network Centric Warfare (NCW) technologies-specifically, Cyber, IoT/IoBT, AI, and Autonomous Systems. Recognised as pivotal force multipliers, these technologies are critical to reshaping the mission, design, structure, and operations of the Australian Defence Force (ADF), aligning with the Department of Defence (Defence)’s offset strategies and ensuring technological advantage, especially in the Indo-Pacific's competitive landscape.

Research process: Employing a two-pronged research approach, the study first leveraged scientometric analysis, utilising informetric mapping software (VOSviewer) to evaluate emerging trends and their implications on defence capabilities. This approach facilitated a broader understanding …

Microbes Of Biotechnological Importance In Acidic Saline Lakes In The Yilgarn Craton, Western Australia, Katelyn Boase, Talitha Santini, Elizabeth Watkin

Research outputs 2022 to 2026

Acidic salt lakes are environments that harbor an array of biologically challenging conditions. Through 16S rRNA, 18S rRNA, and ITS amplicon sequencing of eight such lakes across the Yilgarn Craton of Western Australia, we aim to understand the microbial ecology of these lakes with a focus on iron- and sulfur-oxidizing and reducing microorganisms that have theoretical application in biomining industries. In spite of the biological challenges to life in these lakes, the microbial communities were highly diverse. Redundancy analysis of soil samples revealed sulfur, ammonium, organic carbon, and potassium were significant diversities of the microbial community composition. The most abundant …

A Systematic Review Of K-12 Cybersecurity Education Around The World, Ahmed Ibrahim, Marnie Mckee, Leslie F. Sikos, Nicola F. Johnson

Research outputs 2022 to 2026

This paper presents a systematic review of K-12 cybersecurity education literature from around the world. 24 academic papers dated from 2013-2023 were eligible for inclusion in the literature established within the research protocol. An additional 19 gray literature sources comprised the total. A range of recurring common topics deemed as aspects of cybersecurity behavior or practice were identified. A variety of cybersecurity competencies and skills are needed for K-12 students to apply their knowledge. As may be expected to be the case with interdisciplinary fields, studies are inherently unclear in the use of their terminology, and this is compounded in …