Digital Commons Network^™

Second Looks For Sentencing Equality, Joshua D. Weiss

SMU Law Review

This Article challenges a persistent assumption about the relationship between so-called “second look” laws and sentencing disparities. Courts, the United States Sentencing Commission, and scholars tend to assume that increasing judicial discretion to reduce previously imposed sentences on an individualized basis results in increased sentencing disparities. But this assumption is based on a limited focus on disparities caused by judges and fails to account for disparities caused by other institutional actors, especially prosecutors.

This Article examines the relationship between disparities and second-look laws by focusing on one such law: the federal reduction in sentence (RIS) statute, commonly referred to as …

When Planes Fall And People Die: An International And Domestic Overview Of Disaster In The Sky, Clayton Rainey

Journal of Air Law and Commerce

Commercial aviation disasters expose catastrophic breakdowns in engineering, regulatory oversight, corporate governance, and human systems. From the Boeing 737 MAX tragedies involving Lion Air Flight 610 and Ethiopian Airlines Flight 302 to the recent domestic crash of American Airlines Flight 5342, modern aviation disasters have become defining legal events that test the boundaries of product liability, federal preemption, sovereign immunity, and transnational treaty law. This Article examines how aviation mass-casualty events evolve into complex litigation involving aircraft manufacturers, airlines, regulatory agencies, and governmental entities, and how those legal frameworks differ in international versus domestic contexts.

Beyond legal doctrine, this Article …

Living In A Bubble: How Children And Adults Use Generics To Talk About Social Kinds In Unique Sociocultural Contexts, Ny Vasil, Alejandro Curiel, Tiffany Zhu, Anna Pederneschi, Katherine Ritchie

Philosophy Faculty Publications

Generics like "kids love sugar" convey generalizations. But what is their scope? Are they taken to be global, or can generics communicate regularities restricted to "sociocultural bubbles"? Two studies examined the developing capacity for contextual restriction of generics in 137 4-7-year-olds (63/70/4 female/male/other) and 222 adults (128/89/5 female/male/other). Participants evaluated generics attributing group properties prevalent globally vs. "within-bubbles," with contextual cues that speakers conveyed broad vs. contextually restricted regularities. Both children and adults appreciated that generics can communicate group characteristics occurring within narrow sociocultural contexts. Adults selectively endorsed global or local generics depending on context, but younger children allowed socially …

Interpretable Machine Learning For Bridge-Pier Scour Prediction And Flood Resilience, Adil Khan, Dalya Ismael

Engineering Technology Faculty Publications

Bridge-pier scour is a leading cause of flood-induced bridge failure, yet practice still lacks transparent, physics-informed tools that link data-driven prediction with design guidance. This study develops an interpretable, physics-aware machine-learning framework to predict equilibrium scour depth and translate those predictions into actionable strategies for flood-resilient infrastructure. Using the 2014 U.S. Geological Survey Pier-Scour Database (569 laboratory cases), five models: Gradient Boosting, AdaBoost (Tree), XGBoost, Gaussian Process (RBF kernel), and Kernel Ridge (polynomial), were trained and evaluated with K-fold cross-validation. Model performance was evaluated using R², RMSE, and MAE. Gradient Boosting performed best, achieving training and testing R² of 0.99 …

Srgan-Based Deep Learning Framework For Wind Turbine Damage Detection From Sentinel-2 Imagery, Kübra Çakir, Onur Elma, Murat Kuzlu

Engineering Technology Faculty Publications

The operational reliability of wind turbines is critical for sustainable energy production in smart grids. This study proposes a remote monitoring approach using perceptually enhanced satellite imagery. Sentinel-2 multispectral data (10 m resolution) has been processed with a Super-Resolution Generative Adversarial Network (SRGAN) to improve visual quality to a perceptual resolution of 30 cm. Although true spatial refinement is not achieved, the sharper structural details enhance classification accuracy. The data set comprises 15,000 images—10,000 SRGAN-enhanced and 5000 augmented through rotation, zoom in, increasing brightness, noise addition, and blurring. A custom Convolutional Neural Network (CNN) has been trained to classify turbines …

Effectiveness Of 3d-Printed Models In Undergraduate Dental Endodontic Education: A Systematic Review., Razi Jalali, Shankargouda Patil, Frank W Licari, Kamran H Awan, Shilpa Bhandi

Health Professions Education

Purpose: With the development of flexible polymers and stereolithography, 3D printed models have been proposed for dental education to overcome the shortcomings of extracted natural teeth and artificial resin blocks. This review aimed to systematically review the literature available for the effectiveness of the use of 3D printed tooth models for undergraduate endodontic education. Methods: Based on the inclusion and exclusion criteria, PubMed, Scopus, Web of Science, and Google Scholar electronic databases were searched. Clinical studies with full-text articles available in the English language were selected. Data extraction, risk of bias assessment using the ROBINS-I tool, and assessment of the …

Factors Influencing Feedback In A Problem-Based Learning Curriculum: A Mixed Methods Study In The Context Of Saudi Arabian Medical Schools, Abdulmohsen M. Alomair, John Sandars, Michelle Marshall, Pirashanthie Vivekananda-Schmidt

Health Professions Education

Purpose Even though there is extensive literature about good practice in feedback, it is currently unclear how to sustain a good quality feedback experience in a problem-based learning (PBL) curriculum. This research aims to explore students’ and tutors’ experiences of the feedback process in a PBL curriculum in the local context of Saudi medical schools, and to identify factors that influence perceived feedback quality. Method A mixed methods approach was adopted. First, 856 students from six medical schools completed a survey, followed by 12 student focus groups and 11 tutor semi-structured interviews across four schools. Results Verbal feedback was reported …

Health Students’ Knowledge, Perceptions, And Willingness Toward Artificial Intelligence In Tackling Antimicrobial Resistance: A Cross-Sectional Study, Ikhwan Yuda Kusuma, Fauziah Fauziah, Afriza Pujiati, Dhiya Zulayta, Septi Nurkhasanah, Khamdiyah Indah Kurniasih

Health Professions Education

Background: Antimicrobial resistance (AMR) causes approximately 4.95 million deaths annually. Although artificial intelligence (AI) may enhance AMR detection, surveillance, and antimicrobial use, evidence remains limited regarding how health students’ knowledge, perception, and willingness influence AI adoption for AMR control.

Purpose: This study aimed to examine the direct and mediating relationships between health students’ knowledge, perception, and willingness toward AI-based approaches for combating antimicrobial resistance in Indonesia using structural equation modeling.

Methods: A cross-sectional study involving 4,369 health students across Indonesia was conducted using a validated questionnaire. Data on knowledge, perception, and willingness were analyzed using Structural Equation Modeling (SEM), SmartPLS, …

Quantum Machine Learning Models: Principles, Frameworks, And Computational Challenges, K. A. Jayabalaji, S. Venkata Anand, Dineshkumar Rajendran, Prasanta Chatterjee Biswas, Sardor Omonov, Rubaid Ashfaq

Computer Science Faculty Publications

Quantum machine learning (QML) has become an optimistic avenue of harnessing quantum computation in data-driven modeling, especially of issues with high dimensionality and complicated correlations. Current methods are generally based on fixed or over-parameterized quantum circuits, and hence restricted to scalability as well as unproductive optimization in real-world hardware. This chapter introduces a hybrid quantum-classical learning system that is adaptive and provides principled quantum data encoding, architecture-conscious variational circuit design and resource-optimal optimization. The technique is based on the concepts of quantum architecture search and subspace-preserving transformations to trade expressiveness with trainability, and discretize the quantum model into a classical …

Design And Analysis Of Modern Quantum Neural Network Architectures For Intelligent Systems, Lakshmi Chandrakanth Kasireddy, Prabhakara Rao Kapula, Dineshkumar Rajendran, Neha Bharani, Srikanth Pulipeti, Islombek Khushvaktov

Computer Science Faculty Publications

Quantum neural networks (QNNs) offer a principled pathway for integrating quantum computation with machine learning through superposition- and entanglement-based representations. This chapter proposes an architecture-aware design and evaluation framework for modern QNNs, emphasizing robustness and system feasibility alongside predictive performance. Multiple architectures variational QNNs, quantum convolutional neural networks, tensor-network hybrids, and fully quantum models—are assessed under a unified protocol. Experimental analysis shows that the proposed architecture-search–guided QNN achieves 91.8% classification accuracy and an F1-score of 0.914, outperforming fixed-template variational QNNs by approximately 5.6 percentage points. Under depolarizing noise with probability p = 0.10, the proposed model retains 85.3% accuracy, whereas …

Exploring Large Language Models For Trustworthy Use: Insights From Research And Development, Sandeep Kalari, Sahithi Padidela, Vikas Ashok, Ravi Mukkamala

Computer Science Faculty Publications

Large Language Models (LLMs) are increasingly being adopted in a wide variety of domains, including sensitive domains such as healthcare and finance. However, persistent challenges such as unreliable data sources, privacy breaches, and hallucinated output continue to hinder their usage. We have experimented with several strategies to address these challenges. First, we developed BlockQwen, a blockchain-augmented framework that integrates decentralized trust validation, role-specific access control, and verifiable audit trails into the Qwen 2.5 LLM workflow. Second, we developed PrivAware, a multilayered privacy-enforcement framework, using a fine-tuned Flan-T5 model with self-attention masking, to safeguard data while maintaining high utility. Both systems …

Biosecure-Llm Framework: Protecting Llms From Cyberbiosecurity Threats And The Case For Independent Ai Safety Governance, Xavier-Lewis Palmer, Lucas Potter, Srdjan Lesaja, Sotirios Karathanasis, Mohammad Ghasemigol

Computer Science Faculty Publications

Large Language Models (LLMs) are becoming critical infrastructure in scientific, healthcare, and governmental contexts. As frontier AI laboratories increasingly partner with government agencies, a fundamental question arises: Who should control the safety and policy-enforcement layers that constrain model behavior? Current safety mechanisms (LLM guardrails) are typically designed for generic "harmlessness" and operate by detecting semantic patterns and refusing requests. However, they are inadequate governance instruments because they cannot implement auditable, domain-specific controls tied to external regulatory policy objects (e.g., control lists or rules governing personally identifying information). Even a perfectly aligned model is not able to express institution-specific policy without …

An Investigation Of Federated Gnns Under Aggregation, Data Poisoning, And Differential Privacy For Icu Length-Of-Stay Prediction, Shakib Mahmud Dipto, Soumya Banerjee, Sandip Roy, Ahmad F. Al Musawi, Preetam Ghosh, Sachin Shetty, Pratip Rana

Computer Science Faculty Publications

Accurate prediction of ICU Length of Stay (LoS) is essential for clinical decision-making and healthcare resource management. Graph Neural Networks (GNNs), such as GraphSAGE, offer a natural fit by capturing patient data from Electronic Health Records (EHRs) through graph structures. However, the distributed and sensitive nature of this data raises both privacy and legal concerns regarding the aggregation and training of GNN models. This additionally leads to issues with data imbalance and model robustness. In this study, we perform an analysis of the Federated Graph Neural Network (GNN-FL) framework to enable decentralized learning on EHRs derived from the MIMIC-III dataset. …

Raw Dataset For 300 University Ai Choices, Amanda Potasznik

Data and Datasets

A log of 300 universities, randomly sampled from IPEDS data, and documentation of their adoption (or not) of Generative AI technology, coded by company.

Barriers Behind Bars: The Prison Litigation Reform Act And Prisoner Litigants' Struggle For Access To Justice, Brooke Stivers

South Dakota Law Review

Access to the courts is a constitutionally recognized right; however, prisoner litigants seeking to pursue this right through 42 U.S.C. § 1983 actions are significantly constrained by the procedural barriers imposed by the Prison Litigation Reform Act. Congress enacted the PLRA in response to a surge in prisoner litigation in the federal courts, and in effect established stringent procedural requirements that prisoner litigants must satisfy before filing a claim. This comment focuses on the requirements that a prisoner litigant must exhaust all administrative remedies and plead a plausible claim. Prisoners’ attempts to fulfill the procedural requirements of the PLRA often …

From Plans To Practice: Preservice Mathematics Teachers' Journey To Conceptual Understanding, Rolando B. Magat Jr

Australian Journal of Teacher Education

This study examines the journey of preservice mathematics teachers (PMTs) in the Philippines from lesson planning to classroom practice, focusing on fostering conceptual understanding. Using a case study approach, data were gathered from 15 PMTs in Metro Manila through semi-structured interviews, classroom observations, and lesson plan analysis. Findings reveal that PMTs face challenges in deep content knowledge, effective instructional strategies, and real-world application, often prioritizing procedural knowledge over conceptual depth. Additionally, engagement strategies and resource integration were key themes influencing lesson planning. To address these gaps, the study proposes Project M.A.S.T.E.R (Mathematics Application and Strategy Training for Enhanced Readiness), a …

Pre-Service Teachers’ Self-Perceptions Of Relationship Skills For Future Work In Schools, Melissa Newberry, Elizabeth B. Hinchcliff, Chelsea Cole, Michael Richardson

Australian Journal of Teacher Education

This study focuses on the perceptions pre-service teachers hold about their own abilities to form relationships with four stakeholders of schools: students, parents, teachers and administrators. Survey data from 257 students enrolled in teacher preparation programs in a mid-sized, private university in the Western US were collected, including their beliefs about relationship skills, experience with children/youth, and conceptions of relationship formation as practicing teachers. Results indicate high confidence in relationship skills, yet few ideas on how to translate those into action when it comes to forming professional relationships. These findings suggest that pre-service teachers may be underprepared regarding the relational …

The Possibilities And Challenges Of Generative Artificial Intelligence For Initial Teacher Education In Australia, Leanne Cameron, Matt Bower, Jihyun Lee, Damian Maher, Jon Mason, Miriam Tanti, Tianchong Wang

Australian Journal of Teacher Education

This paper examines the impact of Generative AI (GenAI) on pre-service teachers (PSTs) and its future role in Initial Teacher Education (ITE) courses. Drawing from a polychronic and polyphonic research methodology (Jandric et al., 2019; Matusov et al., 2019), the six participants, experienced Initial Teacher Educators, identify the opportunities GenAI offers for enhancing teaching, streamlining administration, and providing personalized learning. They also articulate the challenges GenAI presents: bias, ethical and authenticity issues and copyright. The Teacher Educators agree that PSTs must become technically proficient and critically discerning towards GenAI content, and they highlight the need for personalized and context-specific assessment …

The Role Of Kindergartens In Promoting Educational Moral Values In Children Through Storytelling, Reem Al-Hajj, Marwan Abu-Alrob, Osama Tawfeeq Jarrar

Australian Journal of Teacher Education

This study examines the role of kindergartens in promoting educational moral values in children through storytelling. The research employs a quantitative approach with questionnaires as a study tool. The study sample, selected randomly, consists of 135 kindergarten teachers from Jenin Directorate, Palestine, analyzed using Structural Equation Modeling (Smart-PLS4). The results show that kindergartens have a significant role in fostering educational moral values through storytelling, supported by strong path coefficients (e.g., β = 0.361, p = 0.002 for proposed suggestions) and a high explained variance (R² = 0.673). This framework, which positions children as active meaning-makers rather than passive recipients of …

Framings Of Intercultural Competence In Australian Teacher Education: Conceptual Bases And Implications, James F. Toohey, Michael D. Carey, Peter R. Grainger

Australian Journal of Teacher Education

Developing an interculturally competent teaching workforce remains an ongoing priority in Australia, yet preparation practices vary in their conceptual grounding. This theoretical paper examines four broad paradigmatic framings that inform strategies to develop intercultural competence in preservice teachers: cognitive, dispositional, critical, and linguistic. We analyse how each paradigm foregrounds particular assumptions about culture, communication, and development, and consider the implications of their partial application in teacher education. Rather than positioning these paradigms as competing models, the paper argues that they function as complementary lenses through which intercultural preparation can be understood and refined. Particular attention is given to the linguistic …

The Effect Of Stem Learning Experiences On Stem Semantic Awareness And 21st-Century Learner Skills Of Prospective Primary School Teachers, Ahmet Oğuz Akçay, Mehmet Arif Bozan, Engin Karahan

Australian Journal of Teacher Education

STEM awareness and 21^st-century skills are recognized as two interrelated dimensions critical for the modern pedagogical competencies of pre-service teachers. This study examines how STEM learning experiences affect pre-service primary school teachers’ STEM semantic awareness and 21^st-century learner skills. STEM activities were implemented for six weeks with pre-service primary school teachers. The research was designed using a convergent mixed-methods approach. The study included 21 prospective primary school teachers who volunteered to participate. The “STEM Semantic Awareness Scale,” “21^st-Century Learner Skills Use Scale,” participant journals, and semi-structured interviews were used as data collection tools. The …

(In)Visible Diverse Gender And Sexual Identities Of Pre-Service Teachers: Disclosure, Emotional Labour And Safety Work Within Initial Teacher Education(In)Visible Diverse Gender And Sexual Identities Of Pre-Service Teachers: Disclosure, Emotional Labour And Safety Work Within Initial Teacher Education, Saul A. Karnovsky, Matthew J. Phillips, Breeanna Melville

Australian Journal of Teacher Education

Australia is currently facing a significant teacher attrition crisis, with early career educators increasingly leaving the profession due to burnout, demoralisation, and adverse working conditions. This issue is exacerbated for teachers of diverse genders and sexualities (DGS), who encounter heightened levels of discrimination, exclusion, and mental health challenges within educational institutions. Despite broader societal progress, Australian schools and universities remain sites of persistent queerphobia, contributing to unsafe and unsupportive environments for DGS individuals. This article focuses on pre-service teachers (PSTs) enrolled in initial teacher education (ITE) programs. The study addresses an important gap in the literature by exploring how emotional …

An Examination Of The Cognitive Levels And Content Dimensions In Activities Developed By Pre-Service Mathematics Teachers Within The Math Taxonomy Framework, Ayşe Tuğçe Bodur, Mevhibe Kobak Demi̇r

Australian Journal of Teacher Education

The purpose of this study is to analyze the questions included in three-dimensional modeling activities developed by pre-service mathematics teachers in terms of the cognitive levels and mathematical content dimensions of the MATH taxonomy. This analysis aims to reveal which mathematical processes and skills the pre-service teachers prioritize in their instructional materials. Adopting a case study design, one of the qualitative research methods, this research examined activities developed by 26 secondary pre-service mathematics teachers, selected through convenience sampling, for teaching three-dimensional geometric shapes. Descriptive analysis was used to evaluate a total of 122 activity questions. Regarding content dimensions, it …

Collaborative Problem-Solving (Cps) In Supporting Critical Thinking Skills: A Case Study On Quadratic Function Material, Buaddin Hasan, Arif Hidayatul Khusna

Australian Journal of Teacher Education

Theoretically, CPS can support students' critical thinking skills. However, more in-depth research is needed on how CPS can support students' critical thinking skills. This research aims to describe CPS in supporting students' critical thinking skills. Participants in this research were 24 10th-grade students consisting of 14 female students and ten male students. The 24 participants were then formed into 12 groups, with one group of two students. Data was collected by asking groups to solve a quadratic function problem. The research results show that CPS can support students' critical thinking skills because it provides opportunities for students to negotiate with …

Reciprocal Translanguaging In Peer Interaction: An Interactional Analysis Of Grammatical Co-Construction Among Indonesian Efl Learners, Erwin Ashari, Berlin Sibarani, Masitowarni Siregar

Australian Journal of Teacher Education

This study examines how reciprocal translanguaging operates in small-group peer interaction to support the co-construction of English grammatical understanding among Indonesian EFL learners. Conceptualized as a structured interactional process in which participants draw on their full linguistic repertoires to build grammatical meaning across turns, reciprocal translanguaging is analyzed through five excerpts of naturally occurring peer discussion focusing on observable moves of questioning, repair, metalinguistic elaboration, and confirmation among three fifth-semester university students at Universitas Riau Kepulauan, Indonesia. Drawing on qualitative interactional discourse analysis of recorded online peer discussions, the study examines how participants flexibly deploy Indonesian and English resources to …

2025 Milton Annual Town Report, Milton Town Representatives

Milton, NH Annual Reports

This is an annual report containing vital statistics for a town/city in the state of New Hampshire.

Annual Report Of The Board Of Selectmen And School Board Of The Town Of Pembroke Together With The Reports Of The Treasurer, Trustees, Officers And Boards, Committees And Commissions Of The Town For The Year Ending December 31, 2025, Pembroke Town Representatives

Pembroke, NH Annual Reports

This is an annual report containing vital statistics for a town/city in the state of New Hampshire.

“Oh, You’Ve Come To Visit The Yard?”: Phenotypic Capital, Intragroup Marginalization, And The Gated Sanctuary In Black Lgbtq+ Communities, Keith J. Watts, Shawndaya S. Thrasher, Nicole Campbell, Laneshia Conner, Julian K. Glover, Janet K. Otachi, Dekeitra Griffin

Social Work Faculty Publications

Identity-based communities that share common characteristics, beliefs, and experiences (e.g., Black LGBTQ+ communities) have historically been conceptualized as protective bubbles that buffer Black LGBTQ+ individuals against the deleterious effects of systemic racism and cisheterosexism. However, this monolithic narrative often masks the internal power dynamics that divide belonging. This study explores the exclusionary dynamics embedded within these safe spaces, examining how internal hierarchies of skin tone, socioeconomic status, and gender performance function as proximal stressors. Guided by a critical constructivist paradigm, this study utilized Reflexive Thematic Analysis to analyze open-ended survey responses from 74 Black LGBTQ+ adults. Data were drawn from …

Town Of Wilmot, New Hampshire Annual Reports Of The Town Officers, Boards, And Other Agencies For The Year Ending December 31, 2025, Wilmot Town Representatives

Wilmot, NH Annual Reports

This is an annual report containing vital statistics for a town/city in the state of New Hampshire.

Annual Reports Of The Town Officers Of The Town Of Madbury, New Hampshire For The Fiscal Year Ending December 31, 2025, Madbury Town Representatives

Madbury, NH Annual Reports

This is an annual report containing vital statistics for a town/city in the state of New Hampshire.