Digital Commons Network^™

Contention-Based Write Pulse Modulation On A Replica Timing Path For Process-Tolerant Sram Write Operations, Abhishek Dalal, Ayush Kulshrestha, Ajith K. P, Guru Shamanna, Akash Jha

Defensive Publications Series

Write margins in a static random-access memory (SRAM) array shift with semiconductor process variation, and the shift grows severe at the slow-NMOS/fast-PMOS (SF) corner, where a strong pull-up network inside a storage cell resists an overwrite.  A raised supply voltage widens that mismatch gap further.  A write pulse modulation method addresses the problem by coupling a contention circuit to the dummy bitline of a replica timing path.  The contention circuit holds an active pull-up against a dummy pull-down network, so the discharge rate of the dummy bitline follows the local ratio of PMOS drive to NMOS drive.  Reset logic ends …

Rule Based Pre-Execution Validation Of Financial Transactions With Generative Anomaly Explanations, Shalini Jha, Farhan Rawani, Bhaskar Mangalampalli, Alba Campus, Sanhitha Seerapu, Millie Martin, Arib Shan, Tilottama Basu, Amogh Badugu, Sai Krishna, Ramya Karyampudi

Defensive Publications Series

Financial transaction processing systems, for example in payroll, can face challenges where validation is reactive, leading to the late discovery of complex discrepancies after payments are executed. A system and method are described for pre-execution validation of financial transactions. The system can function as a validation layer that applies business rules to batches of transaction data using techniques such as set-based processing. This approach can identify potential anomalies across large datasets before execution. For detected anomalies, a generative model can produce a human-readable explanation detailing a potential rule violation and the associated data. This pre-execution identification and contextualization of potential …

Steering Generative Ai Responses By Predicting User Intentions Using Slms And Behavioral Telemetry, Rachit Mathur, Payal Shah

Defensive Publications Series

Current conversational AI systems rely on monotonic streaming, requiring users to wait for complete responses before correcting misinterpretations. This disclosure describes a bifurcated dual-dispatch architecture that steers generative AI outputs mid-stream. By pairing a localized Small Language Model (SLM) shadow parser with a high-capacity frontier LLM, the system dynamically analyzes real-time client-side behavioral telemetry - including keystroke dwell times, backspace mutation ratios, and paste metadata to predict user intent and cognitive friction. When volatile semantic nodes or potential intent mismatches are detected, the SLM executes pre-emptive mitigations by tuning inference hyperparameters (such as temperature) or surfacing non-blocking, inline "intent chips" …

Portrait: Holistic Data Visualization Using Neural Networks, Chayan Maitra

Doctoral Theses

With the exponential growth of complex data across domains, effective visualization has become increasingly crucial for understanding relationships hidden within high-dimensional spaces. However, existing visualization techniques often struggle to effectively capture and represent such high-dimensional data. Motivated by this challenge, we have developed NeuroDAVIS, a neural network model designed to visualize high-dimensional data by extracting meaningful latent representations through deep feature extraction. While NeuroDAVIS has successfully addressed the visualization aspect, we have soon recognized the necessity of identifying the most relevant features that contribute to the visualization and downstream analysis. To address this issue, we have extended our framework and …

Teaching Individuals With Autism To Mand For Choice-Making Opportunities, Sarah T. Kong

Doctoral Dissertations - College of Arts and Sciences

The integration of choice-making opportunities into behavior analytic treatment has produced improvements in the lives of individuals with autism. Although researchers have focused on improving staff presentation of choice-making opportunities (Van der Meer et al., 2017), this approach places choice-making under the stimulus control of staff initiations and may result in missed opportunities for the child to make choices when it is most valuable to them. We evaluated the effectiveness of a mand training procedure to teach individuals with autism to request choice-making opportunities. Single trials were interspersed into participants’ typical treatment programming and contexts were designed to establish the …

Challenges, Trends, And The Role Of Lstm In Ai-Based Predictive Maintenance Of Electrolyzers For Solar Hydrogen Systems: A Review, Yani Koerniawan Kuatno, Muhamad Zahim Sujod

Turkish Journal of Electrical Engineering and Computer Sciences

The transition toward low-carbon energy systems has increased interest in hydrogen as a clean energy carrier, with solar-driven water electrolysis emerging as a promising technology due to its high efficiency and compatibility with renewable energy sources. However, dynamic operating conditions and intermittent renewable input accelerate electrolyzer degradation, reducing reliability and system lifespan. Predictive maintenance (PdM), supported by artificial intelligence (AI), offers a data-driven approach to anticipate failures and improve operational durability. This review systematically investigates AI-based PdM approaches for electrolyzers, with an emphasis on long short-term memory (LSTM) networks and Internet of things (IoT) integration. Following PRISMA 2020 guidelines, 35 …

Cuip-X25: A Real-World Network Intrusion Dataset For Next-Generation Ai-Driven Security, Arshad Iqbal, Sohail Asghar

Turkish Journal of Electrical Engineering and Computer Sciences

The efficacy of artificial intelligence (AI) in intrusion detection systems (IDS) is critically dependent on high-fidelity training data. However, as detailed in the manuscript's literature review, existing benchmark datasets are predominantly synthetic, outdated, or imbalanced and fail to capture the complexity of the contemporary threat landscape. To bridge this gap, this study introduces CUIP-X25, a novel real-world cyber-attack dataset captured over a four-month period using a dionaea honeypot deployed on a public network. Unlike synthetic alternatives, this dataset provides an authentic representation of modern adversarial tactics, techniques, and procedures, encompassing 3.16 million real events across ten distinct attack categories, including …

Caregiver Perspectives On Barriers And Facilitators To Adolescent Asthma Self-Management, Sangita Pudasainee-Kapri, Mei Rosemary Fu, Mary Wunnenberg

International Nursing Research Congress (INRC)

Background: Asthma is the most prevalent chronic disease in children and adolescents, disproportionately affecting minority adolescents from lower-income families (CDC, 2022). Adolescents from low-income and marginalized communities often face unique challenges with asthma control and management due to multiple adverse social and environmental factors. Caregivers play a critical role in daily asthma management (Margolis et al., 2019), however, self-management behaviors in minority families may be influenced by several individual and system level factors (Khan et al., 2021; Holley et al., 2017).

Purpose: This study aims to understand caregivers’ perspective on multilevel barriers and facilitators to adolescent asthma self-management in Camden …

Kindra O\'Bryant V. Dcp&P

2026 Decisions

USDC for the District of New Jersey

Empowering Edge Intelligence Through Reparameterized Lightweight Transformers And Distributed Inference, Hosein Esmaeili, Mohammad Ali Afshar Kazemi, Reza Radfar, Nazanin Pilevari

Turkish Journal of Electrical Engineering and Computer Sciences

Deploying advanced transformer-based models on resource-constrained edge devices remains a significant challenge due to their high memory footprint and substantial compute requirements. In this paper, we propose a reparameterized transformer framework that integrates High-Rank Factorization (HRF) during training, layer merging at inference, and dynamic, load-balanced distributed inference across multiple devices. To further reduce resource usage, our framework supports mixed-precision quantization down to 4-bit, enabling flexible accuracy–latency–energy trade-offs. Experimental evaluations on the ESC-50 environmental sound dataset demonstrate that our method matches or exceeds the performance of larger baseline models while using 20–30% fewer parameters, achieving up to 48% latency reduction in …

Non-Gradient Quaternion Training Matrix Modifications For Color-Image Distillation, Tahsin Shahnewaz, Megdam Ahmed Chowdhury, Nikolay Metodiev Sirakov

Student Publications

This paper develops a new multi-stage image distillation method that combines two well known techniques. In the first stage, our method creates a matrix from all training images. In the next stage, it adapts a modified principal component analysis (M-PCA) approach to transform the training matrix. In the third stage, Singular Value Decomposition (SVD) fur ther refines the training-image matrix through low-rank reconstruction and controlled row selection. In the fourth stage, rotation of small 2 ×2 matrix blocks on the entire left singular matrix is conducted. The upper m (user-selected number) rows of the reconstructed matrix are selected and transformed …

Dissecting The Dissection Laboratory: Elements For Designing A Human Anatomy Laboratory: The Human Anatomy And Physiology Society (Haps)-Anatomical Donor Stewardship (Ads) Committee, Lab Resources Subcommittee, Rhiannon E. Robinson, Abbey Breckling, Danielle N. Edwards, Nicole Geske, Burhan Gharaibeh, Bobbie J. Leeper, Molly Ostwald, Mary Schilling, Bridgett Severt, Kelsey Stevens, J.P. Swigart, Jonathan J. Wisco, Melissa Zolnierz, Jeremy J. Grachan

Faculty and Staff Publications

The human anatomy dissection laboratory is a critical component of anatomical and medical education. Development, maintenance, and stocking of these laboratory spaces have unique demands, with all of the challenges in running a laboratory with Biosafety Laboratory Level 2 (BSL-2) classification, housing a large volume of tissues saturated with volatile chemicals, and safeguarding human beings all within the same space. At times, educators or laboratory managers may be tasked with helping to design a new anatomy laboratory from scratch, to give input on the renovation of an existing laboratory space (which may or may not have been used with human …

Developing A Protocol To Obtain Source Directivity Of Hydroacoustic Transducers In A Water Tank, Benjamin White

Undergraduate Honors Theses

This thesis describes the formulation and application of a methodology designed to obtain source directivity of hydroacoustic transducers in the BYU Underwater Acoustics Laboratory. Piezoelectric transducers are presented, and common methodologies to measure their directivity are reviewed. The schematics of the BYU Underwater Acoustics Lab are explained, including the use of positioning robots to position the source-receiver pair in the measurement chain. The protocol is divided into different configurations comprising various source-receiver orientations. The processes of time gating, calculation of OASPL, and plotting onto directional axes are described. The protocol is tested across four different alternative configurations, including one method …

Measurement-Aware Zero-Phase Iterative Learning Control For Robust Regulation Of Nonideal Boost Converters In Electric Vehicle Fast Charging, Aytaç Altan, Mohammed S. Alzaidi, Cağfer Yanarateş

Turkish Journal of Electrical Engineering and Computer Sciences

Integrating battery energy storage with DC-DC boost converters for electric vehicle fast charging exposes the regulator to ageing-induced parameter drift, periodic load pulses, and, critically, the nonidealities in the output-voltage sensing chain. This paper proposes a measurement-aware, zero-phase iterative learning control scheme for robust output-voltage regulation of a nonideal boost converter whose parameters are matched to those of a commercial Texas Instruments TPS6102x battery regulator. The controller combines an inner proportional-integral stabilizing loop with an outer zero-phase learning law that updates a feedforward correction based on the sensor-captured output trajectory; a forward-backward robustness filter suppresses the amplification of measurement noise …

2026-2027 Philharmonia Season Program, Lynn University Conservatory Of Music, Lynn Philharmonia, Guillermo Figueroa, Kenneth Amis, Jon H. Robertson, Aidan Quintana

Philharmonia

Lynn University Wind Ensemble ("The Wind Symphony: Movement 4)

• Saturday, Sept. 19, 2026 at 7:30 p.m.
• Kenneth Amis, conductor

Lynn Philharmonia No. 1 ("Mystery and Revelation")

• Saturday, Oct. 3, 2026 at 7:30 p.m. and Saturday, Oct. 3, 2026 at 7:30 p.m.
• Guillermo Figueroa, conductor
• Kenneth Amis, tuba

Lynn Philharmonia No. 2 ("Halloween Spectacular!")

• Saturday, Oct. 3, 2026 at 7:30 p.m. and Sunday, Nov. 1, 2026 at 3 p.m.
• Guillermo Figueroa, conductor

Lynn Philharmonia No. 3 - Concerto Competition Winners' Concert

• Saturday, Nov. 14, 2026 at 7:30 p.m. and Sunday, Nov. 15, 2026 at 3 p.m.
• Guillermo Figueroa, conductor

Lynn Philharmonia …

Standardized Screening And Monitoring Of Bioidentical Hormone Replacement Therapy In Women Ages 35–50, Amanda Ellen Hampton

Walden Dissertations and Doctoral Studies

In this quality improvement project, I evaluated a pilot implementation of a standardized bioidentical hormone replacement therapy (BHRT) screening and monitoring tool embedded within the electronic health record (EHR) at an integrative medicine practice in the southeastern United States. Grounded in the Johns Hopkins evidence based practice (EBP) model, the project addressed a documented gap in consistent screening, initiation, and monitoring of hormone replacement therapy (HRT) for women ages 35 to 50 presenting with menopausal symptoms. The practice focused question examined whether a standardized, EHR embedded BHRT screening and monitoring tool could improve screening rate compliance, laboratory monitoring adherence, and …

The Current - Volume 37 Issue 02, Nova Southeastern University

Student Newspapers

No abstract provided.

Book Review: “Review Essay On Three Works About The Ukraine War”, John A. Nagl

Parameters Bookshelf – Online Book Reviews

• The Russian Invasion of Ukraine: February–December 2022: Destroying the Myth of Russian Invincibility, by John S. Harrel

• Black Sea Battleground: The Road to Ukraine, edited by Glen E. Howard

• Beyond Ukraine: Debating the Future of War, edited by Tim Sweijs and Jeffrey H. Michaels

Reviewed by: John A. Nagl, General John J. Pershing Professor of Warfighting Studies, Department of Military Strategy, Planning, and Operations, US Army War College

A sweeping review of contemporary conflict, this review essay shows how the war in Ukraine is reshaping global security thinking and forcing strategists to confront hard …

Book Review: The Eurasian Century: Hot Wars, Cold Wars, And The Making Of The Modern World, Hal Brands

Parameters Bookshelf – Online Book Reviews

Author: Hal Brands

Reviewed by: John Erickson, senior engineer, Axiom Technologies, and Dr. John A. Nagl, General John J. Pershing Professor of Warfighting Studies, Department of Military Strategy, Planning, and Operations, US Army War College

In The Eurasian Century, Hal Brands explores how the geopolitical center of gravity has shifted to Eurasia, where autocratic powers challenge the liberal international order. Drawing on history, strategy, and geography, Brands argues that America must remain engaged to prevent a global descent into instability. This timely and provocative book reveals why the twenty-first century’s defining struggles will be fought across the world’s most …

Book Review: The Coming Storm: Power, Conflict, And Warnings From History, Jadwiga Biskupska

Parameters Bookshelf – Online Book Reviews

Author: Odd Arne Westad

Reviewed by: Jadwiga Biskupska, Harold K. Johnson Chair of Military History, US Army War College

A historian’s warning on how great powers stumble into war, this study draws sharp lessons from the past for today’s fragile global order. As rival powers rise and tensions mount, it reveals how missteps and misperceptions can turn regional crises into global catastrophe—and how leaders might navigate a shifting balance of power without repeating the failures that once reshaped the world.

©2026 Jadwiga Biskupska

"Celts In The Valley", William Lindsey Mcdonald

Research Articles

The Tennessee Valley of North Alabama retains linguistic and cultural influences from the languages of its inhabitants. Scot Irish inhabitants of Celtic origin produced a dialect that McDonald claims as a "Celtic character" through tracing common regional expressions back to their roots in the original Gaelic.

Predictors Of Psychological Strain In College Students In The Context Of The Covid-19 Pandemic, Randy M. Ludwig

Journal of Social, Behavioral, and Health Sciences

The coronavirus disease 2019 (COVID-19) pandemic exacerbated the traditional challenges of being a college student. This study examined the factors associated with the mental health difficulties many college students faced during the pandemic. Factor analysis was used to uncover a latent variable called psychological strain, which was composed of mental instability, mental health strain, sadness, anxiety, and unhappiness. An exploratory path model was created to determine which factors most closely related to psychological strain. Of the 14 factors considered, 11 were significant predictors. Overall, the most important risk factor was found to be social isolation (total effects = .437), while …

Spartan Daily, September 16, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 167, Issue 11

Lindenwood Digest, September 16, 2026, Lindenwood University

Lindenwood Digest

• Event & Date: The Lindenwood University Employee Digest was published on September 16, 2026, announcing the President's Town Hall on September 16, 2026, and the Fall Business Ethics Panel on October 1, 2026.

• Geographic Grounding: Documented events take place at Scheidegger Theater and Dunseth Auditorium in Harmon Hall, Lindenwood University, St. Charles, Missouri.

• Key Honorees/Awards: Director of Operations and Engineering of Mane Media Productions Brandon McKinney received Q2 recognition for broadcast engineering support; Senior Professor of Psychology Dr. Rebecca Foushee received Q2 recognition for providing independent research materials to biology students; Associate Professor of Art and Design Joe Weber received …

Validation Of Next‑Generation Sequencing‑Derived Circulating Mrna Variants As Potential Diagnostic Tools In Hepatocellular Carcinoma And Cholangiocarcinoma, Daniel Zezulinski, Maarouf A. Hoteit, David E. Kaplan, Tingting Zhan, Cataldo Doria, Timothy M. Block, Aejaz Sayeed

Department of Pharmacology, Physiology, and Cancer Biology Faculty Papers

Liquid biopsy can transform oncology practice through early detection and real‑time monitoring of cancer progression and response to treatment. Circulating cell‑free tumor RNA offers promise as a novel and emerging alternative to circulating cell‑free tumor DNA for detecting the presence and understanding the biology of liver tumors. Both circulating DNA and RNA, which predominantly reside in extracellular vesicles, carry evidence of vital germline and somatic mutations. High impact single nucleotide changes, insertions and deletions in circulating RNA (ctRNA) serve a key role in cancer development and progression. Tumor cells exploit the RNA splicing machinery to induce structural and functional changes …

Interface Geometry Governs Probe Insertion Mechanics And Electrode Deviation In Layered Brain-Mimicking Phantoms For Deep Brain Stimulation, Siyu Chen, Chengyuan Wu, Ethan Anders, Rungun Nathan, Olivia M. Bailey, Qifu Wang, Curtis L. Johnson, Qianhong Wu

Department of Neurosurgery Faculty Papers

Parkinson's disease (PD) is a progressive neurological disorder often treated with Deep Brain Stimulation (DBS), a surgical procedure that involves implanting electrodes to improve motor function. Accurate electrode placement is critical for treatment efficacy but can be influenced by tissue deformation, insertion forces, and the mechanical properties of brain tissue. In this study, we investigated the role of layer interface angle as a controlled biomechanical factor affecting insertion forces and electrode deviation. A two-layer agar gel phantom was constructed to produce a prescribed stiffness transition between a lower-stiffness and a higher-stiffness gel layer, and its small-amplitude dynamic shear-stiffness contrast was …

Confirmatory Factor Analysis And Measurement Invariance Of The Sexual Orientation Concealment Scale Among Nonbinary Lgbtq+ Adults, Peter D. Goldie, Michael T. Bixter, Suzanne Mclaren

Department of Psychology Faculty Scholarship and Creative Works

Sexual orientation concealment is a prevalent minority stressor among LGBTQ+ people (including nonbinary people) and it is associated with a series of adverse mental health outcomes. The Sexual Orientation Concealment Scale (SOCS) is a widely used brief measure assessing sexual orientation concealment. Although the SOCS has been used with diverse cisgender populations, its validity for nonbinary people, including those of varied racial/ethnic backgrounds and sexual orientations, remains unknown. Based on data from an international sample of 340 nonbinary LGBTQ+ individuals, the present study reports the findings of a confirmatory factor analysis to assess the one-factor structure and validity of the …

Otolith Morphological Variations Reveal Intraspecific Diversity In Two-Spot Barb, Pethia Ticto (Hamilton, 1822), Inhabiting The Riverine Ecosystem, Insha Hassan, Lubna Yasmeen, Mohd Sadiq, Ameer Hamza, Mohammad Afzal Khan

Turkish Journal of Zoology

The intraspecific variation in otolith wavelet coefficients, contours, and morphometric variables (six size and nine shape indices) was analyzed to discriminate stock variation in Pethia ticto collected from four selected sites along the River Ganga (Narora, Kanpur, Varanasi, and Bhagalpur). The wavelet coefficients extracted revealed symmetrical yet site-specific contour variations, particularly along the rostral, dorsal, and posterior margins, with the fourth-level wavelet explaining 98% of the cumulative accuracy and being selected for contour analysis. Permutational analysis of multivariate dispersion (PERMDISP) (F = 6.11, p = 0.002) and permutational multivariate analysis of variance (PERMANOVA) (F = 8.42, R2 = 0.179, p …

Shared Redox Networks And Divergent Oral Tissue Outcomes: From Periodontal Destruction To Mucosal Inflammation And Fibrosis, I-Ta Lee

Articles in Press

No abstract provided.

Designing With Drafts And Cross-Sections: Reflections On How Representations Of Woven Structure Shape Design Practice, Deanna Gelosi, Laura Devendorf

Textile Intersections Conference Series

The draft, a grid of black and white squares used to specify where a particular warp crosses over or under a weft in woven cloth, is a common representation used to design and describe woven structures. The squares in a draft directly, or with a few modifications, translate to manufacturing instructions, which makes the draft a common representation used in weaving design software. In this paper, we describe how using a different woven structure representation, a cross-section, in a design tool that foregrounds different concerns. Specifically, we describe and reflect on our motivation, design, and initial testing of an interactive …