Digital Commons Network^™

From Text To Test: Pre-Lecture Reading Boosts Medical Students’ Comprehension And Retention, Hamad A. Alfahaad, Mohammed Y. Alasmary, Emad M. Masuadi, Mohi Eldin M. Magzoub, Henk G. Schmidt

Saudi Medical Journal

Objective: Medical students frequently attend lectures without prior review of the related literature when preparing for examinations. It raises the question of whether studying the material in advance could enhance their learning outcomes during lectures.

Methods: A total of 102 medical students from a Saudi Arabian university took part in this research. Participants were assigned to one of 2 cohorts: one read a 4-page passage before a 15-minute lecture, while the other attended the lecture before reading the passage. Knowledge acquisition was measured using a test that assessed their ability to recall concepts administered 3 times—prior to the session, post …

Characterizing The Impact Of Hydrodynamic Environments On The Expansion Of Human Induced Pluripotent Stem Cell Aggregates In Computer Controlled, Clinically Relevant-Scaled Bioreactors, Tiffany Dang, James Kim, Benjamin Turner, Jeff Hou, Sunghoon Jung, Michael S. Kallos, Breanna S .Borys

Advancing Manufacture of Cell and Gene Therapies IX [2026]

Please click Additional Files below to see the full abstract

The Hbcu Experience Panel : Why I Chose My Hbcu And How It Helped Me Prepare For My Career, Illinois Math And Science Academy, Angela Richardson

Educational Panels

Dr. Anita Connors White (Dean of Scholarship) - Panel Moderator

Angela Richardson (Information Resource Center, Supervisor)Event and Panel Coordinator

Panelists:

• Justin Alfred : Southern University and A&M College, Baton Rouge. Civil Engineering / Computer science. Lockheed Martin.
• Joseph Bertrand ‘20 : Alumni : North Carolina Agricultural and Technical State University, Associate Engineer at Caterpillar Inc.
• Darryl Burrell Jr. : Alumni :Morgan State University . Project manager at city of Pearland, Texas engineering and Public Works.
• Dr. Garry J. Kennebrew Jr. ‘04 : MAJ, US Army Reserve. Emergency Medicine Physician . Hospitals of Providence. University Medical Center of El Paso. Studied …

Tuko Pamoja: Climate Perspectives From East Africa And Fulbright-Hays, Casey R. Schmitt

Sustainability Research & Practice Seminar Presentations

Dr. Casey R. Schmitt, Interdisciplinary Studies, presents "Tuko Pamoja: Climate Perspectives from East Africa and Fulbright-Hays".

Statistical Guarantees Of Deep Generative Models Involving Diverse Spaces: Generation Consistency And Robustness, Anish Chakrabarty

Doctoral Theses

Generative modeling focuses on the task of producing new data samples that closely resemble those drawn from an original, unknown distribution. Despite being well-known in statistical estimation theory, the approach has gained substantial traction in recent years, driven by groundbreaking results in areas such as image synthesis, natural language generation, and network modeling. The complexity of modern-era data domains and the ensuing adaptations that suitable models must undergo have presented new challenges. These advances raise several fundamental questions, the first of which is: When do generative models accurately approximate the true data distribution? One may also ask: How well do …

Cash Or Crash: Return To Player Percentages And Expected Value Of Crash Games, Robert H. Scott Iii, Mikhail M. Sher, Jonathan Daigle

UNLV Gaming Research & Review Journal

Crash games are a new type of casino game offered on some online gambling sites. The first crash game was created by the online cryptocurrency casino Bustabit. Other cryptocurrency casinos started offering their own versions of crash games. Now mainstream online casinos have developed their own crash games—notably Rocket by DraftKings. Crash games are easy to learn and play. They offer the opportunity to increase your bet by many hundreds of multiples—though, as we show when deriving expected values, these outcomes are rare. In this paper, we study the history of crash games and calculate theoretical values of crash game …

Funding Resilience Or Missing The Mark? An Analysis Of Rrf Allocation And Climate Risk Alignment In Italian Municipalities, Giulio Breglia, Mariagrazia D’Angeli, Giacomo Gazzellone

Fondazione Eni Enrico Mattei Working Papers

Natural hazards are an increasing concern, placing disaster preparedness and mitigation at the forefront of policy agendas. In this context, Italy’s Recovery and Resilience Plan (NRRP) has allocated €3 billion for explicit disaster prevention, with a primary focus on hydrogeological risks such as floods and landslides. This study evaluates the geographical and thematic distribution of resilience-related funding, examining whether financial resources have been effectively targeted toward municipalities with the highest exposure to environmental hazards. Using a clustering classification, we identify substantial disparities in the allocation of resilience funds, revealing that municipalities with relatively low risk levels often receive disproportionately high …

February 4, 2026 Faculty Senate Minutes, University Of South Carolina

Faculty Senate

No abstract provided.

Flaplet: A Full-Stack Web Platform For End-To-End Time Series Data Processing And Machine Learning In Solar Flare Prediction, Mohammadreza Eskandarinasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi

Computer Science Student Research

Solar flare prediction is a central challenge in space weather forecasting, with direct implications for satellite operations, aviation safety, and power grid reliability. Machine learning has achieved state-of-the-art performance for this task, particularly when applied to photospheric magnetic field parameters. FlaPLeT is an open-source, full-stack web platform that supports end-to-end machine learning workflows for multivariate time-series–based solar flare prediction without requiring any coding expertise. Built with React, Django, Celery, and PostgreSQL, the system integrates dataset preprocessing, data augmentation, functional network (graph) construction, and machine learning model training into modular asynchronous tasks that generate downloadable datasets, trained models, and structured JSON …

On Robust Estimation Of Multivariate Location And Scale With Applications, Soumya Chakraborty

Doctoral Theses

The principal objective of this thesis is, in a nutshell, to provide robust estimators of multivariate location and scale which have reasonable to high model efficiency but avoid high computational complexity so as to be practically useful in real problems. We utilize the minimum density power divergence (DPD) and the related philosophy to invoke robustness. There are some computational issues while minimizing the DPD in different multivariate set-ups. We will work on this problem rigorously and come up with three types of estimation procedures which are explicitly or implicitly related to the minimum DPD methodology, keeping the computational issue in …

Hbcu College Of Education Faculty's Knowledge And Attitudes Of Artificial Intelligence, Felicia Taylor

Tennessee State University Alumni Theses and Dissertations

Abstract The integration of artificial intelligence (AI) in K–12 education has rapidly transformed teaching and learning by enabling personalized instruction, automating assessments, and enhancing student engagement. However, the readiness of teacher educators at Historically Black Colleges and Universities (HBCUs) to prepare future teachers for AI-enhanced classrooms remained underexplored. This mixed-methods study examined the knowledge, attitudes, skills, and perceived barriers among faculty in the College of Education at an HBCU regarding the integration of AI into teacher preparation programs. Quantitative survey data and qualitative open-ended responses were collected and analyzed to assess faculty understanding of AI tools, their perceptions of the …

Ethical Constraint-Based Mpc With Adaptive Weight Scheduling For Autonomous Vehicles In Diverse Scenarios, Hend Mohammed Aafia`

Theses and Dissertations

Autonomous vehicles (AVs) are increasingly deployed in complex and safety-critical environments, raising fundamental questions about how ethical principles should be operationalized within real-time control systems. While existing research has extensively addressed ethical decision-making at the planning and behavioral layers, ethical intent is commonly translated into predefined trajectories and delegated to low-level controllers under the assumption of safe execution. This separation introduces a critical gap between ethical reasoning and physical feasibility, particularly in scenarios involving nonlinear vehicle dynamics, actuation limits, constrained perception horizons, and time-critical interactions with vulnerable road users. This thesis proposes an Ethical Model Predictive Control (E-MPC) framework that …

Silver Bow Creek Conservation Area Final Principles For A Greener Cleanup Report, Woodard & Curran

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Ubiquitination Of Oncogenic Mutant P53 Via Attenuation Of Ribosome Biogenesis Machinery Effectively Inhibits Pancreatic Tumor Growth, Mudassier Ahmad, Sahir Sultan Alvi, Haider Ahsan, Carlos Perez, Andrew Massey, Vivek K Kashyap, Neeraj Chauhan, Emmanuel Anning, Manish K Tripathi, Dae J Kim, Nirakar Sahoo, Tamer Oraby, Murali M Yallapu, Mohammad Moshahid Khan, Manu M Sebastian, Subhash C Chauhan, Bilal B Hafeez

Faculty, Staff and Student Publications

Dysregulated ribosome biogenesis and p53 mutations are known to play oncogenic roles in various cancers, including pancreatic cancer. In this study, we demonstrated the therapeutic potential of BMH-21, a pharmacologic inhibitor of RNA polymerase I, against pancreatic cancer by uncovering a novel molecular mechanism involving RPA194-mediated ubiquitination of mutant p53 without affecting the ubiquitination of wild-type p53. Our key findings are that (i) BMH-21 selectively induces apoptosis and cell growth inhibition of pancreatic cancer cells with no effect on normal human pancreatic ductal epithelial cells; (ii) BMH-21 degrades RPA194; (iii) BMH-21 inhibits recruitment of both RPA194 and RPA135 on rDNA …

Control-By-Interconnection Beyond Casimirs And Connections To Ida-Pbc, Joel Ferguson, Pablo Borja

School of Engineering, Computing and Mathematics

Control by Interconnection (CbI) and Interconnection and Damping Assignment Passivity-Based Control (IDA-PBC) are two nonlinear design methodologies that exploit passivity to construct stabilising controllers. While CbI is known to be a subset of IDA-PBC, the converse link has remained open. This paper revisits CbI by utilising dynamic invariants beyond Casimirs and a more general control structure. Using this more general structure we show a one-to-one correspondence between IDA-PBC and CbI controllers for the class of mechanical systems without friction.

Pipelined Execution Of Attention And Feed-Forward Network Operations On Heterogeneous Cores For Llm Decode Acceleration, N/A

Defensive Publications Series

The technology described in this paper relates to maximization of resource utilization for transformer based large language models (LLMs), specifically during an autoregressive decode phase. For the decode phase, each layer of a transformer model is primarily composed of two distinct computational blocks, an attention operator block and a feed-forward network (FFN) operator block. The attention operator block is overwhelmingly memory-bandwidth bound. In contrast, the FFN operator block is largely compute-bound, and the computations are dominated by large dense matrix multiplications. A chip architecture may be provided that contains at least two types of specialized co-located cores, a first core …

Time And Water, Sheila Nayar

Journal of Religion & Film

This is a film review of Time and Water (2026), directed by Sara Dosa.

Drive, J. David Stevens

Creative Nonfiction Magazine

No abstract provided.

Drive, J. David Stevens

Creative Nonfiction Magazine

No abstract provided.

Thoughtprints, James Glanz

Creative Nonfiction Magazine

No abstract provided.

Perspectivo Scientifico Or, Where The Rays Convene, I Fix A Point, Susan L. Rose

Creative Nonfiction Magazine

No abstract provided.

Robust 10 Gbps Fso Communication And Up To 70db/Km High-Fidelity Psk Modulation Under Diverse Atmospheric Turbulence, Raghad Zuhair Yousif, Soran Salah Fareeq Aldawoodi, Sirwan Kareem Jalal, Sevan H. Ali

Engineering and Technology Journal

This work introduces a free-space optical (FSO) communication system engineered to operate effectively under diverse atmospheric conditions, specifically addressing attenuation levels of 20, 30, 40, and 70 dB/km at a stable data rate of 10 Gbps. The proposed architecture utilizes advanced Phase Shift Keying (PSK) modulation, combined with a 60 dBm continuous-wave laser, a Mach-Zehnder modulator (MZM), and optical amplifiers with 20 dB gain, to ensure signals can be transmitted through challenging atmospheric channels. The model performs quite well, even in diverse conditions, and remains effective when the signal is 70 dB/Km weaker. It has a Q-factor of approximately 10.069 …

Optimization Algorithms And Modeling Techniques For Hybrid Renewable Energy Systems: A Mini Review, Marwan J. Hussein, Omar Talib Khazraji, Ahmed M Almawla

Engineering and Technology Journal

The growing world-wide demand of power from renewable sources has brought up considerable attention to HRES system as the strong supplementary or alternative systems for fossil-fuel based energy generation. The efficient deployment of HRESs has to tackle a number of difficult optimization problems that involve the trade-offs between cost, reliability and sustainability. Sophisticated optimization techniques are the key in system design and operation. This paper classifies and assesses the solar, wind, biomass and energy storage based HRES optimization methodologies. It defines significant modeling methodologies and measures, such as Loss of Power Supply Probability (LPSP) and Levelized Cost of Energy (LCOE). …

Undergraduate Engagement In Neutron Scattering As A Pathway To U.S. Competitiveness And A Diverse Scientific Workforce, Hillary L. Smith

Physics & Astronomy Faculty Works

Engaging undergraduate students in neutron scattering experiments through beamtime trips, student internships, or class visits is a powerful driver of scientific progress in the United States. These experiences provide hands-on exposure to advanced instrumentation, mentorship from diverse scientists, and insight into large-scale research infrastructure. By contributing meaningfully to proposal development, sample preparation, data collection, and data analysis, students develop confidence, scientific identity, and a sense of belonging, particularly those from underrepresented backgrounds. Early engagement cultivates a skilled and motivated scientific workforce, strengthens the capabilities and mission of national laboratories, and ensures continued U.S. leadership in discovery and innovation.

Emotional Branch Termination And False Fantasy Collapse: A Structural Specification Of Computational Resource Restitution In Interpersonal Systems, Griselda Poe

Publications and Research

This paper specifies the structural protocol for communication within interpersonal systems by focusing on branch generation mechanisms and computational resource allocation. Conventional interpersonal communication often relies on emotional modulation, which obscures established constraints and triggers the generation of Emotional Branches (EB) within the recipient’s internal model. These branches function as unresolved parallel processing tasks that persistently occupy working memory, leading to a state of non-computability termed False Fantasy (FF). To resolve this, the study introduces Emotional Branch Termination (EBT)—a termination operation that outputs only constraints, facts, and procedures while excluding emotional modifiers. By halting the supply of EBs, EBT triggers …

Icc Agenda 2-3-26, Angela Brock

Individual Course Committee (ICC)

No abstract provided.

Approved Courses 2-3-26, Angela Brock

Individual Course Committee (ICC)

No abstract provided.

Reinforcement Learning: A Paradigm Shift In Ai Training And Its Competitive Implications, Elena Ponte

Journal of Business & Technology Law

No abstract provided.

On The Misattribution Of Reassurance: A Structural Account, Griselda Poe

Publications and Research

This paper challenges the conventional assumption that empathy generates reassurance in interpersonal services. Reassurance is treated not as an emotion transmitted from the outside, but as an internal state transition that arises when a fixed and erroneous world model—a False Fantasy—undergoes collapse and the world becomes computable again. The study identifies a systematic misattribution pattern where providers and receivers treat empathy as a causal mechanism rather than a post hoc explanatory label. By introducing Base AI as an external reference—a system capable of providing structural information without emotional modulation—this paper demonstrates that reassurance is generated through operations such as distraction …

Reassessing Transketolase Assays: Methodological Considerations For Detecting Functional Thiamine Deficiency, Katie A. Edwards

Pharmacy Faculty Scholarship

Thiamine (vitamin B1) deficiency due to degradation, inadequate intake, impaired absorption, or increased metabolic demand remains prevalent in both human and animal populations. In its diphosphate form (thiamine diphosphate, TDP), thiamine serves as an essential cofactor for metabolic enzymes, including transketolase (TKT), a rate-limiting enzyme of the pentose-phosphate pathway. Measurement of TKT activity with and without exogenous TDP provides a functional assessment of thiamine utilization that serves as a surrogate for or complements direct quantification of thiamine forms. Beyond its historical role as a deficiency-screening tool, the TKT assay offers opportunities to interrogate enzyme function and cofactor dependence. Strategic variation …