Digital Commons Network^™

The Kidney Connection: Sepsis In Hospitalized Lupus, Muhammad Usman Zafar Md, Syeda Haris Mustafa Zaidi Md, Ansar Aziz Md, Sejal Lakhani Do, Courtney Hill Do

Fellows and Residents

No abstract provided.

Are Iowa Pk-12 Schools Prepared For A School Shooting? A Needs Assessment Of Iowa Superintendents, Kurt Mj Devore

Dissertations and Theses @ UNI

As school shootings remain a persistent threat to PK-12 education, this quantitative survey study examines the preparedness levels and beliefs of 75 out of 277 Iowa superintendents regarding active shooter events. In the wake of the 2024 tragedy in Perry, Iowa, results indicate a near-universal recognition of risk (97.3%), prompting a shift toward "muscle memory" training and the adoption of the Standard Response Protocol (SRP) to ensure a common language during a crisis. The data reveals a significant move away from high-intensity simulations in favor of trauma-informed tabletop exercises, alongside a definitive rejection of arming educators (0%) due to insurance …

An Exploratory Study In Sports Geography: The Interaction With The Environment And Sense Of Place In Endurance Running Events, Jackson Steffener

Dissertations and Theses @ UNI

This study examines how endurance running shapes runners' sense of place through interactions with physical environments, social dynamics, and embodied experience. With sports geography, it explores how participants form emotional and spatial connections to race settings while moving through varied landscapes under physical strain. A phenomenological multi-site case study design was used, focusing on four endurance events in Iowa that differed in terrain, setting, and structure.

Data were collected from 46 participants using mental mapping and semi structured field notes. Mental maps identified meaningful locations along race courses, while field notes captured emotional responses, environmental conditions, and social interactions. Thematic …

Rockingham County Advisory Council 2026 Meeting Minutes, Extension

Advisory Council

No abstract provided.

Strafford County Extension - Advisory Council Meeting Minutes 2026, Rebecca Hull

Advisory Council

No abstract provided.

Acute Correction Of Acquired Genu Valgum Secondary To Post-Traumatic Growth Arrest At The Time Of Distal Femur Fracture., Josiah Wolf, Nicholas Pelz, Adam Mansour, Christopher Iobst, Allen Kadado

Surgery Articles

A 14-year-old male patient sustained a distal femur fracture after a ground-level fall. His history was notable for severe acquired genu valgum secondary to a childhood lawnmower accident, which had required multiple limb salvage procedures including a Syme amputation and soft-tissue skin grafting. Acute correction of the limb deformity was performed concurrently with fracture fixation using a retrograde intramedullary nail and poller blocking screws. Retrograde intramedullary nailing represents a viable treatment option for simultaneous acute correction of acquired genu valgum and stabilization of distal femur fractures.

Serum Protein Signatures For Breast Cancer Detection In Treatment-Naïve African American Women Using Integrated Proteomics And Pattern Analysis, Padma Tadi Uppala, Elmer Rivera, Hyun J. Kwon, Sharon S. Lum

Faculty Publications

Breast cancer is the leading cause of cancer-related mortality in African American (AA) women. In this study we evaluated the serum proteomic profile of AA women with breast cancer using an integrated proteomic framework with multivariate pattern analysis. Using 2D-DIGE, thousands of serum protein spots were detected across 33 gels; 46 spots met criteria for presence, statistical significance, and differential expression. Proteins from the spots were identified by MALDI-TOF/TOF and matched in curated databases, highlighting serum biomarkers including ceruloplasmin, alpha-2-macroglobulin, complement component C3 and C6, alpha-1-antitrypsin, alpha-1B-glycoprotein, alpha-2-HS-glycoprotein and haptoglobin-related protein. LC-MS/MS analysis revealed 163 differentiating peptides after imputing and …

Faculty Fellowships: River Dolphins In Bangladesh., Daniel Gonzalez-Socoloske

Faculty Publications

No abstract provided.

Scripture Spotlight: What Was The Role Of The Scapegoat?, Roy Gane

Faculty Publications

No abstract provided.

Effects Of Density Turbulence On Helicon Wave Propagation In The Core Plasmas, Eun-Hwa Kim, Syun'ichi Shiraiwa, Seung-Hoe Ku, A. Bortolon, Masayuki Ono, Nicola Bertelli, Robert I. Pinsker

Faculty Publications

No abstract provided.

Timothy M. Mulvaney, Timothy M. Mulvaney

Faculty CVs

No abstract provided.

Approximate Decryption In Homomorphic Division And Privacy Impact, Ameerah Alsulami, Marius Silaghi

Electrical Engineering and Computer Science Faculty Publications

The result of a computation over secret inputs inherently reveals some information about those inputs; such semantic leakage is unavoidable. The challenge is to ensure that the computation method does not introduce additional, avoidable disclosure beyond what is implied by the output itself. This issue is particularly critical in privacy-preserving machine learning and cloud-based data processing, where homomorphic encryption enables computation over encrypted data but often relies on practical approximations. Division-enabled homomorphic encryption schemes based on rational encodings preserve arithmetic correctness, but their decrypted outputs may retain sufficient algebraic structure to enable inference of the original operands, creating representation-induced leakage. …

A Systematic Review Of Artificial Intelligence For Software Requirements In Open-Source Software, Amal Alharbi, Khaled Slhoub

Electrical Engineering and Computer Science Faculty Publications

Software stakeholders have seamlessly integrated artificial intelligence technologies into the requirements engineering processes for open-source software, which presents both opportunities and challenges. This systematic literature review examines the current state of artificial intelligence application in requirements engineering for open-source software and emphasizes the opportunities and challenges faced by practitioners. Based on the reviewed literature, artificial intelligence technologies, such as machine learning, natural language processing, large language models, and deep learning techniques, have been increasingly applied to support key requirements engineering activities, particularly requirements elicitation, classification, prioritization, and stakeholder analysis. However, the lack of structured data in open-source software directly challenges …

Botox Detection And Face Analytics Using Deep Learning, Audison Beaubrun, Gabriella Pangelinan, Michael King

Electrical Engineering and Computer Science Faculty Publications

Non-surgical cosmetic procedures like Botox are increasingly common, yet their impact on facial analytics systems remains unexplored. We curate a novel dataset of 1,990 before-and-after images from 390 individuals who received cosmetic injectables. Using this dataset, we demonstrate that these subtle facial modifications measurably affect age estimation: FairFace and FaceXFormer show statistically significant shifts toward younger age estimates (-1.43 and-3.27 years, p <0.05), while MiVOLO remains stable. We also show these modifications are detectable: training deep learning models (ResNet-50, DenseNet-121, ConvNeXt-Tiny) to classify cosmetically-altered faces achieves up to 89% accuracy. Our findings reveal that even minor, non-surgical facial changes can bias age-based analytics and are algorithmically detectable-raising critical concerns for privacy, fairness, and robustness as facial analytics expand into high-stakes domains like insurance, hiring, and health assessment. © 2026, Florida Online Journals, University of Florida. All rights reserved.

Collaboration On Waltz Labels Can Achieve Qualitative Stereo Vision, Ben Mathew, Majed Alotaibi, Debasis Mitra, Marius Silaghi

Electrical Engineering and Computer Science Faculty Publications

Stereo vision requires calibration that can be hard to achieve or guarantee, so we propose a Qualitative Stereo Vision approach based on logical reasoning about edges detected from cameras/robots having different points of view. The proposed technique builds upon the qualitative reasoning of Waltz filtering on edges of a 2D image, which is extended to reasoning about edges from multiple images with different points of view. An assumption is that edges and vertexes that appear in different images can be identified based on their features. We find that a consistent spatial interpretation of a scene, classifying occluding, convex, and concave …

Cladding-Engineered Hollow-Core Fiber For Polarization Control And Optical Sensing Applications, M.M. Shoaib Hasan, Md Shah Alam, Md Selim Habib, Md Asiful Islam

Electrical Engineering and Computer Science Faculty Publications

A polarization-selective hollow-core antiresonant fiber (HC-ARF) is proposed and numerically investigated for single-polarization guidance in the telecom band. Finite-element simulations across the 1.50–1.60 μm range show that the optimized design achieves a high polarization extinction ratio of 1.73x 104 at 1.55 μm, with low loss for the y–polarized mode (0.72 dB/km) and strongly suppressed x–polarized loss (12531 dB/km). The fiber also provides a modal birefringence of 0.21x 10-4, enabling strong polarization selectivity and stable single-polarization guidance. These results indicate that the proposed PM-HC-ARF is well-suited for polarization-sensitive applications such as interferometry, sensing, and coherent communication. © 2009-2012 IEEE.

Culticon-Bench: A Pilot Benchmark For Cultural Interpretation Of Visual Icons, Rwaida Alssadi, Marius Silaghi

Electrical Engineering and Computer Science Faculty Publications

Visual icons are widely used in user interfaces and multimodal AI systems, yet their interpretation often varies across cultural contexts. Symbols that appear universal may convey different meanings depending on social norms and cultural conventions. We introduce CultIcon-Bench, a pilot benchmark designed to study culturally grounded interpretation of visual icons. The benchmark pairs icon-like visual symbols with short textual contexts and cultural identifiers, enabling controlled evaluation of whether a model correctly interprets the intended meaning under different cultural settings. The dataset is organized around a taxonomy of cultural conflict classes including gestures, politeness norms, privacy expectations, religion, holidays, rituals, dress …

From Recommendation To Reflection: Measuring Moral Value Stability In Human–Ai Collaboration Using Cognitive Value Recontextualization, Waseem M. Samkari, Thomas C. Eskridge

Electrical Engineering and Computer Science Faculty Publications

High-stakes human–AI collaboration is typically evaluated on outcome quality or efficiency. In morally charged domains such as disaster response, however, a key question is whether decisions align with the decision-maker’s core moral values. Research in moral psychology shows that individuals may accept identical outcomes under one framing but reject them under another—signals of value stability, not noise. We propose Value-Recontextualizing Decision Support (VRDS), demonstrated in a wildfire crisis simulation. The system employs Cognitive Value Recontextualiza-tion (CVR), which re-presents decisions under morally intensified framings, and Adaptive Preference Alignment (APA), which clarifies whether contradictions reflect situational reasoning or genuine value change. We …

Physics-Based Design And Simulation Of Hollow-Core Anti-Resonant Fiber Plasmonic Sensors, Mohammad Al Mahfuz, Abdullah Al Mamun, Md Selim Habib

Electrical Engineering and Computer Science Faculty Publications

Next-generation sensing technologies require high-performance sensors that offer ultra-low loss with enhanced sensitivity. To achieve this, we propose a hollow-core anti-resonant fiber (HC-ARF) refractive index (RI) sensor utilizing the surface plasmon resonance (SPR) detection mechanism for superior optical sensing performance. The proposed sensor model features a single ring of uniformly arranged regular cladding tubes, each coated with a thin plasmonic metal layer to facilitate strong coupling between the core and surface plasmon modes. Through rigorous finite-element modeling (FEM) simulations, the fiber structure is carefully optimized and sensing performance is investigated to obtain ultra-low loss and high detection sensitivity via wavelength …

Toml: Transistor Operations For Machine Learning: A Physics-Grounded Energy Efficiency Framework, Muntaser Syed, Marius Silaghi, Sheikh Abujar, Sharun Akter Khushbu

Electrical Engineering and Computer Science Faculty Publications

The escalating energy consumption of machine learning systems demands accurate, physics-grounded efficiency measurement beyond conventional proxies like FLOPs and MACs, which fail to capture non-linear operations and memory access costs. While recent work established transistor operations (TOs) as a promising energy proxy for convolutional neural networks, this approach remains limited to a single metric and narrow architectural scope. We present TOML (Transistor Operations for Machine Learning), a framework introducing six novel metrics grounded in CMOS physics: Switching Activity Factor per Token (SAF-T), Logic State Residence Time (LSRT), Energy per Capability Unit (ECU), Memory-Compute Energy Ratio (MCER), Data-Dependent Energy Variation (DDEV), …

Nh Ece 2026 Policy Data Infographic, Harshita Sarup, Jess Carson, Tyrus Parker

New Hampshire Early Care and Education Research Consortium

The NH ECE 2026 Policy Data infographic provides easy access to data describing and explaining the early care and education landscape in New Hampshire. Learn about Granite Staters' need for child care, the high prices that families face, the low wages earned by child care workers and high operating costs of care, and the economic toll of an uneven supply for the state. The infographic also offers suggestions for building a better system.

3 "Il Canto Dei Sanfedisti" Or The Counter-Revolution, Ilaria Serra

Andante: Chapter 1 The Napoleonic Era

Music for this section, sung by Beppe Barra

Cover art: Cardinale Fabrizio Ruffo, 1850 by Ambito Napoletano

1 Introduction, Ilaria Serra

Andante: Chapter 1 The Napoleonic Era

No abstract provided.

2 "L'Inno Dell'albero" Or Napoleon And The Trees Of Liberty, Ilaria Serra

Andante: Chapter 1 The Napoleonic Era

Music and Lyrics for this section

Cover art: L’albero della Libertà in a French print

Intersections Of Art And Medicine, Lina Adwer

EMET Projects

No abstract provided.

Accuracy Of Voluntary Force Modulation During The Isometric Mid-Thigh Pull, S. Alexander Long, Olivia Vadas, Stephanie Balint, Michael H. Stone, Christopher Taber

Exercise Science Faculty Publications

The purpose of this study was to investigate voluntary force modulation accuracy during the isometric mid-thigh pull (IMTP) and to investigate biological sex and relative strength as factors relating to error. Strength-trained males (n = 18) and females (n = 18) completed ascending (ASC) (25%, 50%, 75%) or descending (DESC) (75%, 50%, 25%) submaximal testing followed by maximal testing. Subjects rested before completing the opposite submaximal testing sequence. External feedback was not provided during testing. Measured and intended (INT) forces were analyzed with two-way repeated-measures ANOVAs with within- (ASC, DESC, and INT) and between-subject factors (male or female). Independent-samples t-tests …

How The U.S. Constitution Shapes International Tax Law: Instrument Choice In Tax Agreements, Noam Noked, Young Ran (Christine) Kim, Reuven S. Avi-Yonah

Articles

The U.S. Constitution’s Treaty Clause, which requires Senate approval by a two-thirds vote for treaties, has significantly influenced the development of international tax law. This Article examines the implications of Senate supermajority requirements on bilateral and multilateral tax treaties and agreements, alternative instruments, relevant international tax standards, and global tax governance.

Historically, tax treaties have been approved exclusively as Article II treaties requiring Senate approval. The difficulty of entering into treaties with the United States has influenced the instrument choice and design of U.S. and international tax standards. To address this challenge, several U.S. and international tax reforms have employed …

The Enduring Case For Bankruptcy Exceptionalism, Jared Mayer

Articles

Nearly fifty years after Congress enacted the Bankruptcy Code, a debate has emerged over the existence and desirability of “bankruptcy exceptionalism”: the idea that bankruptcy law should utilize “flexibility, creativity, and pragmatism over technicalities of process and form” to “prioritize fidelity” to “the purposes for which it was created.”  This question is especially salient in the world of corporate reorganizations, where distressed companies and their investors retain counsel precisely for the purpose of hammering out deals in complex commercial settings. In this Essay, I defend bankruptcy exceptionalism in corporate reorganizations.  I show that bankruptcy exceptionalism is a necessary and desirable …

Dye Removal By Adsorption Using Fe₃O₄ And Ε-Fe₂O₃-Based Kaolinite Nanocomposites Synthesized With An Apricot Kernels Shell Extract, Ben Kouider Tayeb, Souli Lahcene, Derouiche Yazid, Messaoudi Mohammed, Taoufik Soltani, Huda Alsaeedi, David Cornu, Mikhael Bechelany, Ahmed Barhoum

Research Outputs: 2025-Present

In this study, Fe₃O₄/kaolinite and ε-Fe₂O₃/kaolinite nanocomposites were synthesized using apricot kernel extract as a green reductant. The prepared nanocomposites were characterized and evaluated for their adsorption efficiency in removing methylene blue (MB) from aqueous solutions. The synthesis was carried out at 80 °C using iron chloride precursors (FeCl₃·4 H₂O and FeCl₂·6 H₂O) and kaolinite. The nanocomposite physicochemical characterization (X-ray diffraction, scanning electron microscopy, Fourier transform infrared spectroscopy, thermogravimetric analysis and differential scanning calorimetry) confirmed the incorporation of crystalline Fe₃O₄ and ε-Fe₂O₃ structures in the kaolinite matrix (particle sizes from 30 to 70 nm). Adsorption experiments showed that 4 mg …

Conformationally Locked Bodipy Donor–Acceptor Dyads: Charge Separation And Recombination Across A [2.2.2]Bicyclooctane Spacer, Metodej Dvoracek, Yanran Wu, Greta Sambucari, Craig Newman, Brendan Twamley, Mathias O. Senge, Jianzhang Zhao, Mariangela Di Donato, Mikhail A. Filatov

Research Outputs: 2025-Present

Controlling the excited-state dynamics of charge-separated (CS) states in donor–acceptor (D–A) systems is challenging due to geometry changes from intramolecular rotations and vibrations. A key question is how molecular geometry governs the formation, stability, and recombination of CS states, and whether these processes can be decoupled from spin-related transitions such as intersystem crossing (ISC). Here, we investigate a rigid design strategy where BODIPY and anthracene chromophores are fused to a bicyclo[2.2.2]octane scaffold, fixing the D–A geometry and eliminating conformational flexibility. This setup enables direct evaluation of how geometric restriction affects charge-transfer dynamics. Femtosecond transient absorption spectroscopy shows efficient charge separation …