Digital Commons Network^™

How Does Inclusive Education Affect Students With Autism Spectrum Disorder In Elementary Schools?, Kacie M. Coe

All Electronic Theses and Dissertations

Children diagnosed with autism are at an all-time high of 1 in 31 children (Centers for Disease Control and Prevention 2025). What does this mean for our schools and students with autism? Inclusive education is more renowned than ever. What is now known as the Individuals with Disabilities Education Act (IDEA) was enacted in 1975, and guarantees every child with a disability access to a free appropriate public education (FAPE) in the least restrictive environment (LRE). Inclusion, in theory, appears to be the right decision for all our students, but what are the schools doing to prepare for these exceptional …

A Systematic Review Of Disparities In Alzheimer’S Diagnosis: The Overlooked Impact Of Gender And Ethnoracial Diversity On Biomarker Expression, Cynthia Smith, Olisaemeka Ogbue, Nasra Gathoni, Karen Blackmon, Tamlyn J. Watermeyer, Jasmit Shah, Chinedu Momoh

Brain and Mind Institute

Background: Biomarkers hold significant promise for the early diagnosis of dementias like Alzheimer's disease (AD). However, less than 5% of research data originates from Black African or African American populations, despite Africa's increasing dementia burden. Additionally, women are disproportionately affected by dementia globally, a trend that is expected to persist. This systematic review aims to synthesize studies on sex and gender differences in AD biomarkers, with a focus on African populations.

Method: We have conducted systematic searches across PubMed, Scopus, Web of Science, SciELO, and African journals online for articles published between 2000 and 2024. Our focus is …

Conceptualizing A Model For Transforming Academic Search With Retrieval-Augmented Generation, Nikesh Narayanan

All Works

This study conceptualizes the transformative potential of RetrievalAugmented Generation (RAG) in academic research, addressing limitations of traditional search methods reliant on keyword matching, Boolean logic, and metadata analysis. RAG combines precise data retrieval with the generative capabilities of advanced AI models, synthesizing dispersed information into coherent outputs. By bridging retrieval accuracy and contextual generation, RAG offers a framework for providing researchers with comprehensive, nuanced, and up-todate insights tailored to their queries. This article explores the integration of tools like ChatGPT and LangChain to outline a RAGbased system, illustrating its potential to enhance academic discovery by harmonizing natural language processing, semantic …

Who’S To Blame? Exploring Collective Emotions Between Shared Guilt And Anger: A Semiotic Study Of Digital Narratives And Social Activism In The Context Of Online Gender-Based Violence, Cristina Greco, Marianna Boero

All Works

The present study explores digital narratives and social activism in the context of online gender-based violence, focusing on the mechanisms of collective emotions, such as guilt, anger, shame, and fear. In this perspective, the narrative continues to deal with how media representations legitimate ideological conceptions and perpetuate the normalization of online violence against women. By deepening our understanding of how collective emotions are constructed and manipulated, the study aims to identify the subtle and hidden link between media discourses and actual events as they occur online. In doing so, it explores media narratives evoking collective shame, fear, anger, and guilt, …

Antimicrobial Pattern Of Crude Oil And Non-Crude Oil Contaminated Seafood From Bayelsa State, Nigeria, Mbolo Poweidor Freeborn, Akomah-Abadaike Onyinyechi Ndimele

Annals. Food Science and Technology

Seafood is an important source of protein, minerals and essential vitamins to human. This study is aimed at the microbiological evaluation of crude oil and non-crude oil contaminated seafood from Bayelsa State. Seafood such as periwinkle, prawn and clams were all harvested from crude oil and non-crude oil contaminated environment. Standard microbiological analysis for total heterotrophic bacteria were determined. Gram staining, biochemical identification, and Antibiotics susceptibility test were determined. Total heterotroph bacteria count ranged from 7.13 to 8.42 log10cfu/g, Staphylococcal count ranged from 5.48 to 6.86 log10cfu/g, Salmonella count ranged from 6.30 to 6.74 log10cfu/g, Coliform count ranged from 4.90 …

Composite Flour: Nutritional And Physical Properties A Review, Akanni Abubakar Adegboyega, Alimi John Praise, Abdulahi Hauwa Machina, Salako Mojisola Oladunni

Annals. Food Science and Technology

Composite flour is produced by blending flours derived from diverse grains or combining grains with vegetables, offering a nutrient-rich profile that includes vitamins, minerals, and dietary fiber. The growing preference for healthier and more nutrient-dense foods, influenced by evolving lifestyles and socioeconomic trends, has led to their increased relevance in food production. When one or two flours are mixed with wheat flour for baking, it influences several quality dimensions, such as the nutritional value and physical attributes of the final products. Extensive studies conducted in developing countries, where wheat flour is heavily consumed and imported to meet high demand, particularly …

Ensuring Seafood Safety - Food Handling Practices At Home To Mitigate Foodborne Illness – A Consumer Study, Arundhathi V., Mini Sekharan N.

Annals. Food Science and Technology

Inadequate food handling practices in the supply chain significantly contribute to foodborne illnesses. As global concerns about food safety intensify, understanding domestic food handling practices and raising consumer awareness is essential. The study examines the association between self-reported foodborne illness and seafood handling practices among consumers across Kerala, India. A cross-sectional survey of seafood consumers was conducted via an online questionnaire from March to December 2023. Of 2079 survey respondents, 8.5% (n=177) reported experiencing seafood-related foodborne illness. Safe handling practices among those who experienced seafood-borne illness (Case group) scored lower compared to those who did not (Control group). Seafood handling …

Postharvest Physiology And Storage Of Cereal Crops In Sub-Saharan Africa: A Mini Review, Salamatu A.S., Dandago M.A., Nassarawa Sanusi Shamsudeen, Falmata A.Z.

Annals. Food Science and Technology

Cereal crops are a vital component of food security in Sub-Saharan Africa (SSA), providing essential nutrients and calories to millions of people. Despite their importance, significant postharvest losses occur due to inadequate handling and storage practices, which are exacerbated by the region's challenging environmental conditions. This review examines the postharvest physiology of major cereal crops such as maize, sorghum, millet, and rice and their storage challenges in SSA. It discusses the physiological changes in cereals after harvest, including fluctuations in moisture content, respiration rates, and nutrient degradation. The review highlights the critical role of moisture management, the impact of respiration …

Evaluation Of Food Quality Of White Yam Cultivars (Pona And Dente) Stored In Two Improved Traditional Storage Structures, Akrasi Juliana, Akyereko Yaw Gyau, Wireko-Manu Faustina Dufie, Oduro Ibok

Annals. Food Science and Technology

To curb yam postharvest losses, two improved traditional barns have been introduced, however, their effects on yam quality have not been studied. The study aimed to determine the effect of these storage structures on the physical, chemical and sensory properties of two yam cultivars; pona and dente. A total of 240 tubers of each cultivar were stored in these barns for six months, and their quality characteristics were determined. Temperature in the barns over the storage period was 25.4-30.8 oC in Rectangular barn (RB) and 25.4-30.4 oC in the Circular barn (CB) with minimal rodent damage. Relative humidity in the …

Author Biographies

Roger Williams University Law Review

No abstract provided.

Volume 31 Winter 2026

Roger Williams University Law Review

No abstract provided.

Breaking Patterns Of Abuse: How Amending The Federal Rules Of Evidence Would Strengthen Domestic Violence Prosecutions, Isabelle Ryan

Roger Williams University Law Review

No abstract provided.

Closing The Door On Housing Discrimination: Why Rhode Island Must Enact A Fair Chance In Housing Act, Jessica Galego

Roger Williams University Law Review

No abstract provided.

The Flock Above Us: The Unconstitutionality Of Automated License Plate Readers, Evan Degaitas

Roger Williams University Law Review

No abstract provided.

A Personal Take: An Argument In Favor Of Adopting The Uniform Partition Of Heirs Property Act In Rhode Island, Isiah Dipina, Natasha Varyani

Roger Williams University Law Review

No abstract provided.

Clinton V. Babcock, 332 A.3d 167 (R.I. 2025)., Greta Johnson

Roger Williams University Law Review

No abstract provided.

State V Mangru, 337 A.3d 1009 (R.I. 2025)., Stephen Olive

Roger Williams University Law Review

No abstract provided.

New England Prop. Servs. Grp., Llc V. Ngm Ins. Co., 329 A.3d 889 (R.I. 2025)., Justin Edward Keyes

Roger Williams University Law Review

No abstract provided.

1981, Carliss N. Chatman

Faculty Journal Articles and Book Chapters

42 U.S.C. § 1981 should have solved a pervasive problem in American capitalism—when white economic interests do not converge with the contract rights of Black people, they are excluded from the market in a way that causes systemic harm. This Article proposes that the failure to enforce 1981 in the past may render it more harmful than beneficial in the present climate of retrenchment. The realities of racism combine with the lack of economic interest convergence to make combatting contract inequality on a contract-by-contract basis legally precarious, nearly impossible to properly evaluate, and difficult to economically incentivize. This is in …

Performing Democracy, Carliss N. Chatman

Faculty Journal Articles and Book Chapters

American universities are frequently portrayed as stewards of democracy—sites where dissent is protected, truth is pursued, and diversity is championed. Yet these institutions often betray these ideals, especially under the pressures of donor influence, reputational risk, and political retrenchment. This Essay interrogates the internal contradictions of the university by centering one of its most guarded rituals: faculty hiring. Building on my 2021 article The Soft Shoe and Shuffle of Law School Hiring Committee Practices, I argue that hiring serves as both a performance of inclusion and a mechanism for preserving institutional whiteness, elite networks, and gatekeeping norms. I extend …

Facilitating Mortgage Modification To Save Homes And Mitigate Lender Losses, Julia Patterson Forrester Rogers

Faculty Journal Articles and Book Chapters

Homeowners in financial distress or whose homes have been damaged by natural disaster may avoid foreclosure if their lender agrees to modify the loan to reduce payments. Commercial loans may also be modified to avoid foreclosure or in response to changed circumstances or changing market conditions. Although loan modifications are generally beneficial to both borrowers and lenders, barriers to modification exist. The Consumer Financial Protection Bureau (CFPB) has addressed some of the roadblocks to residential loan modifications by regulating the procedures that mortgage servicers must follow in dealing with delinquent borrowers, but the CFPB and its regulations are at risk …

Chat M.D., Nathan Cortez

Faculty Journal Articles and Book Chapters

Large language models (LLMs) such as Claude and ChatGPT are the most powerful artificial intelligence (AI) systems ever created, and they are being used to diagnose and treat patients. But LLMs have been shown to be unreliable, unpredictable, and unsafe on occasion. New AI guidelines recommend hundreds of standards, such as ‘transparency’, ‘trustworthiness’, and ‘safety’. But there is deep uncertainty whether these are sufficient. The literature focuses mostly on which standards best suit AI models, not on how to transmute standards into law. This article does that by considering AI guidelines as a starting point, then evaluating whether existing frameworks …

Let’S Modify Safety Valve To Value Family Ties, Laura Ginsberg Abelson

Faculty Journal Articles and Book Chapters

Federal sentencing law has long struggled to balance the breadth of drug conspiracy liability with the prin­ciple of proportional punishment. The statutory “safety valve” provision, codified at 18 U.S.C. § 3553(f) and mirrored in the U.S. Sentencing Guidelines, was designed to provide relief from mandatory minimum sentences for low- level, nonviolent offenders. Yet its requirement that defendants disclose all information concerning the offense sometimes places family-member codefendants in an untenable position: they may avoid harsh penalties only by incriminating loved ones. The requirement also conflicts with other provisions of the Guide­lines that provide guidelines reductions, but not relief from mandatory …

Rethinking Courtroom Presence In The Virtual Era, Jenia Iontcheva Turner

Faculty Journal Articles and Book Chapters

Technological innovation has made virtual appearances by criminal defendants increasingly common. These appearances have advanced efficiency but also raised questions about the scope of both the right and the duty of defendants to be physically present in court. Should judges, for example, be allowed to hold virtual arraignments, even if a defendant wishes to appear in person? Can defendants opt for virtual appearances at will? While courts are beginning to address these questions, they have yet to develop a coherent framework to evaluate when virtual appearances are constitutional and appropriate. This Article seeks to contribute to this project by examining …

Negotiated Outcomes And Abbreviated Trials In Criminal Cases: Balancing Fairness And Efficiency In Three Legal Systems, Michele Caianiello, Jenia I. Turner, Thomas Weigend

Faculty Journal Articles and Book Chapters

Facing expanded criminal dockets, justice systems around the world are looking for ways to expedite proceedings and save resources while still offering credible procedures for adjudicating criminal cases. In the United States, defendants tend to face an all-or-nothing choice between two alternatives: a full trial at which all relevant evidence is presented and examined; or a plea bargain leading to a conviction without any presentation of evidence and the waiver of the defendant’s procedural rights in exchange for a reduced sentence. Even in routine misdemeanor cases, a full trial requires substantial expenditures of resources, and its procedural complexity may be …

Physics-Informed Temperature Prediction Of Lithium-Ion Batteries Using Decomposition-Enhanced Lstm And Bilstm Models, Seyed Saeed Madani, Yasmin Shabeer, Michael Fowler, Satyam Panchal, Carlos Ziebert, Hicham Chaoui, François Allard

Electrical & Computer Engineering Faculty Publications

Accurately forecasting the operating temperature of lithium-ion batteries (LIBs) is essential for preventing thermal runaway, extending service life, and ensuring the safe operation of electric vehicles and stationary energy-storage systems. This work introduces a unified, physics-informed, and data-driven temperature-prediction framework that integrates mathematically governed preprocessing, electrothermal decomposition, and sequential deep learning architectures. The methodology systematically applies the governing relations to convert raw temperature measurements into trend, seasonal, and residual components, thereby isolating long-term thermal accumulation, reversible entropy-driven oscillations, and irreversible resistive heating. These physically interpretable signatures serve as structured inputs to machine learning and deep learning models trained on temporally …

Mtl_Tx: A Multi-Task Transformer Model For Improved Radiation Time-Series Estimation, Hongfang Zhang, Adam Stavola, Hal Ferguson, Bence Budavari, Hongyi Wu, Chiman Kwan, Jiang Li

Electrical & Computer Engineering Faculty Publications

Controlling radiation doses at potential radioactive facilities is critical to ensuring the safety of both personnel and the public. At the Thomas Jefferson National Accelerator Facility (JLab), multiple sensors are deployed around the three experimental halls to monitor key parameters, including single-beam current, energy levels, current leakage, and radiation values during accelerator operations. In this study, we developed a Multi-task Transformer model, MTL_TX, to accurately estimate radiation doses at sensor locations based on historical data, with the aim of enhancing safety in accelerator facilities and surrounding public areas. To improve estimation accuracy, we integrated two innovative components into the proposed …

Machine Learning-Based Lifetime Prediction Of Lithium Batteries: A Comparative Assessment For Electric Vehicle Applications, Abdelilah Hammou, Raffaele Petrone, Demba Diallo, Boubekeur Tala-Ighil, Philippe Makany Boussiengue, Hicham Chaoui, Hamid Gualous

Electrical & Computer Engineering Faculty Publications

This paper evaluates and compares four data-driven methods (Gaussian Process Regression (GPR), echo state network (ESN), gated recurrent unit (GRU), and long short-term memory (LSTM)) for lithium-ion capacity prognostics adapted to electric vehicle conditions. This comparison aims to find the most efficient prognosis method considering two constraints: the limitation of computational power and the unavailability of on-board capacity measurement that requires full charge and discharge conditions. The machine learning models are trained using capacity values estimated under vehicle conditions. The ageing data is collected from cycling tests of two battery chemistries, Lithium Fer Phosphate (LFP) and Nickel Manganese Cobalt (NMC), …

Fault Tolerance Of Accelerated Asynchronous Fixed-Point Iterations On Flexible Computing Infrastructure, Evan Coleman, Masha Sosonkina

Electrical & Computer Engineering Faculty Publications

Asynchronous iterative methods tolerate straggling processors by allowing workers to proceed with stale data, but at a cost: the iterates become inconsistent, potentially degrading convergence. We investigate whether convergence accelerators such as Anderson acceleration compensate for this degradation. We experimentally study three fixed-point iterations: the Jacobi method for sparse linear systems, value iteration for the Bellman equation, and the Hartree–Fock self-consistent field (SCF) iteration. The experiments are conducted using a high-performance execution framework, Ray, which abstracts the complexity of distributed systems and enables code parallelization and fault injection with minimal changes.

We establish two main results. First, straggler tolerance is …

Statewide Corridor Evacuation Response And Re-Entry Behaviors In Florida During Hurricane Irma, Xin Wang, Yuan Zhu, Hong Yang, Kun Xie

Electrical & Computer Engineering Faculty Publications

Hurricane Irma stands as one of the most destructive tropical storms to make landfall in the United States, particularly impacting the State of Florida, where it prompted the largest evacuation in history with approximately 7 million residents. The profound consequences of mass evacuation underscore the critical need to understand travel behaviors during hurricane evacuation and the recovery process. This research analyzes statewide evacuation and re-entry patterns, leveraging diverse datasets, including TTMS data from main corridors and GIS data. A statewide corridor-based empirical analysis framework is constructed to characterize evacuation and re-entry response patterns using sensor-based traffic observations. The results show …