Digital Commons Network^™

Gould Edu: Cluster-Randomized Trial Of An Educational Intervention To Improve Lipid-Lowering Guideline Adherence, Christopher P Cannon, Christie M Ballantyne, Deepak L Bhatt, James A De Lemos, Qi Gao, Naishu Kui, Robert S Rosenson, Katherine E Mues, Jason Exter, Shushama Alam, Mikhail N Kosiborod

Faculty, Staff and Students Publications

Background: Adherence to lipid-lowering therapy (LLT) guidelines is suboptimal, leading to poor achievement of low-density lipoprotein cholesterol (LDL-C) goals and elevated risk for atherosclerotic cardiovascular disease (ASCVD) events.

Objectives: The purpose of this study was to determine whether an educational intervention targeting physicians improves optimization of LLT over 1 year for patients with ASCVD.

Methods: GOULD (Getting to an Improved Understanding of Low-Density Lipoprotein Cholesterol and Dyslipidemia Management) EDU (Education) was a 1-year extension in a subset of sites in the GOULD prospective, observational registry of United States patients with ASCVD. In a cluster-randomized, stepped-wedge design, sites were randomized to …

Brainstem Encoding Of Speech In The Extended High Frequencies And Its Behavioral Correlates, Sajana Aryal, Fan-Yin Cheng, Srikanta K. Mishra, Spencer Smith

Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works

Whether the auditory nervous system can extract and use speech information carried in the extended high-frequency (EHF; >8 kHz) range is an unresolved question in auditory neuroscience. Although EHF sensitivity is increasingly recognized as important for speech perception, it is unclear whether EHF hearing is directly or indirectly involved in real-world listening. This study examined brainstem neural encoding of EHF speech components and the relationship between EHF hearing sensitivity and both neural and perceptual speech processing. Envelope following responses (EFRs) to broadband and high-pass filtered (>4 kHz and >8 kHz) speech stimuli, along with digits-in-noise speech recognition thresholds under …

Aac In Schools: How District Infrastructure And At Specialists Shape Implementation Practices, Grace T. Clark, Lesley Rytel, Endever* Corbin, Madison Skibicki, Gabriella Pesantes

Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works

Purpose

Research on barriers to augmentative and alternative communication (AAC) implementation in schools has focused primarily on individual clinician factors rather than district infrastructure. This clinical focus article examined how the presence or absence of a dedicated assistive technology (AT) specialist was associated with differences in AAC implementation and the use of AAC as a Tier 1 support.

Method

Eighteen educators, including AT specialists, SLPs, and a special educator, from 17 U.S. school districts participated in a 75-minute structured Zoom focus group. They rated 11 statements about district AAC practices using a 4-point Likert scale and discussed their responses in …

Building Interprofessional Competency-Based Education Into Graduate Program Clinical Experiences: A Childhood Apraxia Of Speech And Sensory Processing Disorder Case Study Analysis, Kate Nealon, Zahava L. Friedman

Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works

Supporting interprofessional competency-based education requires embedding educational opportunities within coursework and clinical experiences. This education prioritizes student engagement and learning from, with and about other professionals to support collaboration and communication amongst clinicians (CAIE, 2020). While the provision of interprofessional clinical opportunities is recommended, it is challenging to implement effectively in professional and pre-professional settings. Academic settings have the unique ability to provide interprofessional collaborative clinical experiences for students. This pilot study focuses on Speech Language Pathology (SLP) and Occupational Therapy (OT) clinical assessment experiences, specifically in the context of pediatric motor speech and sensory processing disorders. These disorders often …

In Search Of The Soul Of Creativity: Authorship, Agency, And Meaning In Refractive Collaboration With Generative Ai, Fatima Nazir

Theses and Dissertations

When images can be generated in seconds, what remains uniquely human in the act of creation? In Search of the Soul of Creativity: Authorship, Agency, and Meaning in Refractive Collaboration with Generative AI investigates where authorship, agency, and meaning reside within design practices mediated by generative AI. Rather than using AI to produce predictable results, this research deliberately relinquishes control to observe how generative systems interpret language through their own learned associations. Through a practice-led investigation across four generative models within the Higgsfield platform, user prompts were progressively shortened from full sentences to single words, revealing recurring patterns and cultural …

Injectable Hydrogels For Bone Regeneration: Mechanical Reinforcement Strategies Using Nanoparticles And Nanofibers: Review Paper, Fariba Ganji, Morteza Mirzagoli, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

Background and Purpose: The growing demand for bone regeneration following severe injuries highlights the importance of scaffolds in bone tissue engineering (BTE). Injectable hydrogels have emerged as promising candidates because their properties closely mimic the native extracellular matrix (ECM). However, their limited mechanical strength and structural instability restrict their practical application. Approach: This review summarizes recent strategies for reinforcing in situ-forming injectable hydrogels to improve their mechanical performance for bone regeneration. Particular emphasis is placed on nanomaterial-based strategies, including the incorporation of nanoparticles and nanofibers, and their ability to enhance the physical properties of polymeric networks. Key Results: Evidence from …

Markov Chain Wave Generative Adversarial Network For Bee Bioacoustic Signal Synthesis, Kumudu Samarappuli, Iman Ardekani, Mahsa Mohaghegh, Abdolhossein Sarrafzadeh

Electrical & Computer Engineering Faculty Publications

This paper presents a framework for synthesizing bee bioacoustic signals associated with hive events. While existing approaches like WaveGAN have shown promise in audio generation, they often fail to preserve the subtle temporal and spectral features of bioacoustic signals critical for event-specific classification. The proposed method, MCWaveGAN, extends WaveGAN with a Markov Chain refinement stage, producing synthetic signals that more closely match the distribution of real bioacoustic data. Experimental results show that this method captures signal characteristics more effectively than WaveGAN alone. Furthermore, when integrated into a classifier, synthesized signals improved hive status prediction accuracy. These results highlight the potential …

Comparative Assessment Of Energy And Emission Costs For Geothermal Heat Pumps And Fossil-Fuel Heating Systems Across U.S. Climatic Zones, Md Shahin Alam, Shima Afshar, Seyed Ali Arefifar, Mohammad Haq

Electrical & Computer Engineering Faculty Publications

In response to growing concerns over global warming and energy sustainability, transitioning from fossil-fuel-based heating systems to renewable alternatives is essential. This study evaluates the economic and environmental performance of geothermal heat pumps for building heating and compares it with conventional coal-fired boilers, natural-gas boilers, and diesel furnaces. Using the heating degree-day (HDD) method, heating energy demand was analyzed for four U.S. cities—Anchorage (AK), San Francisco (CA), Salt Lake City (UT), and Las Vegas (NV)—representing diverse climatic zones. The analysis integrates thermodynamic and economic parameters, including the coefficient of performance (COP = 2–5) and annual fuel-utilization efficiency (AFUE = 80–97%), …

Photobiomodulation Mitigates The Inhibitory Effects Of Pirfenidone On Cancer-Associated Fibroblasts And Their Pro-Tumorigenic Properties: A Cause For Concern, Nima Rastegar-Pouyani, Alireza Nasirpour, Fatemeh Javani Jouni, Hossein Vazini, Ahmad Moshaii

Electrical & Computer Engineering Faculty Publications

Cancer-associated fibroblasts (CAFs) within the tumor microenvironment highly contribute to cancer progression and poor prognosis. Recent findings introduce pirfenidone, a medication for pulmonary fibrosis, as a promising repurposed candidate for inhibiting CAFs. Moreover, photobiomodulation (PBM), or low-level laser therapy, has surfaced as a potential modality against cancer; however, its impact on CAFs is not thoroughly comprehended. The present study scrutinized the effects of PBM, pirfenidone, and PBM+pirfenidone on CAFs, and their consequent impact on cancer cells using the CAF-conditioned media. After treating CAFs with PBM at wavelengths 660 and 980 nm with/without PFD and then culturing cancer cells in the …

Digital Twin Technologies For Battery Systems: Advancements, Applications, And Future Directions, Seyed Saeed Madani, Yasmin Shabeer, Michael Fowler, Satyam Panchal, Carlos Ziebert, Hicham Chaoui, François Allard

Electrical & Computer Engineering Faculty Publications

The relationships among deep learning, edge computing, artificial intelligence (AI), and the most recent advancements in digital twin (DT) technology for battery energy storage systems are discussed in this paper. The study highlights the need for improved cloud-edge coordination, AI model development, and stronger cybersecurity features by demonstrating real-world applications of digital twin technology in electric vehicles (EVs), aircraft, and grid storage. It also described DT-based structures for fault detection, real-time monitoring, and optimization through standardization and battery management system (BMS) fusion. Because DT-based solutions for distributed energy resources (DERs) offer improved energy management systems, various studies have been conducted …

Pin-Plane Electrical Discharge Driven By A Mosfet Dc Current Source, Myles Perry, Sidmar Holoman, Daniel Wozniak, Shirshak Kumar Dhali

Electrical & Computer Engineering Faculty Publications

The generation of atmospheric pressure nonequilibrium plasma using electrical discharges is an active area of research due to its significance in a wide spectrum of applications including medicine, combustion, and manufacturing. In our attempt to create a helium plasma jet in a pin-plane discharge with a constant current source, we observed self-pulsating behavior. We present the results of the electrical, optical, and spectroscopic measurements carried out to characterize the discharge. The duration of the discharge is a few tens of nanoseconds, and the repetition rate is in the few tens of kHz. The effect of the gap distance and gas …

The Gut-Heart Axis: Exploring The Role Of The Gut Microbiome In Cardiovascular Health-A Focused Systematic Review, Yahya Makkieh, Haider Hussain Shah, Sakan Binte Imran, Shadman Mahmood Mahmood Khan Pathan, Anagha Chirayath Saju, Mounica Majooju, Aastha Garg, Tarun Naag, Rabeeul Islam, Cheeranthodika Fahima, Ramsha Ali

Electrical & Computer Engineering Faculty Publications

This focused systematic review examines the role of the gut microbiota in cardiovascular disease (CVD). The review explores mechanisms linking gut dysbiosis with CVD via microbial metabolites such as trimethylamine-Noxide (TMAO) and short-chain fatty acids (SCFAs), which affect inflammation, endothelial function, and lipid metabolism. Interventions including dietary modifications, probiotics, prebiotics, fecal microbiota transplantation, and pharmacological agents such as statins, rifaximin, and empagliflozin are evaluated for their impact on microbial composition and cardiovascular outcomes. Probiotic strains and fiber-rich diets demonstrated modest improvements in blood pressure, lipid profiles, and inflammatory markers. Studies revealed that gut microbiome alterations influence drug metabolism and bleeding …

Interpretable Battery Soh Prediction: A Comparative Interpretability Framework For Multi-Architecture Ml Models, Shafiyee Islam, Gon Namkoong

Electrical & Computer Engineering Faculty Publications

This work introduces a unified interpretability-efficiency framework for lithium-ion battery state of health (SOH) prediction using hybrid deep learning architectures. We comparatively analyze four hybrid models: CNN LSTM MultiHead, CNN Feature Extractor LSTM, DNN LSTM, and DNN BiLSTM to disentangle how network topology, feature composition, and computational design influence both predictive fidelity and physical interpretability. By integrating Monte Carlo Shapley (MC Shapley), background occlusion SHAP (BoSHAP), and ablation analysis, we quantify the contribution and robustness of five electrochemical feature groups: time, capacity, voltage, dQ/dV and peaks of dQ/dV from NASA battery dataset. The results reveal a consistent dominance of differential …

An Explainable Cs-Mitigation Triangular (Ecsmt) Framework To Secure Graph Neural Networks, Sabah Ettahri, Sergio Pallas Enguita, Chung-Hao Chen, Wen-Chao Yang

Electrical & Computer Engineering Faculty Publications

This research addresses cyber risk by defending against backdoor attacks on Graph Neural Networks (GNNs). We propose the Explainable Complex System-Mitigation Triangular (ECSMT) Framework, which integrates Robust Training, Graph Regularization, and Data Sanitization into a lightweight, hardware-efficient defense layer. To evaluate structural generalizability, we conducted empirical evaluations across three distinct benchmark domains (AIDS, MUTAG, and PROTEINS) using a Graph Isomorphism Network (GIN) backbone. Under a baseline 5% backdoor subgraph trigger injection ratio, ECSMT achieves excellent utility retention, securing a Clean Accuracy (CA) of 97.33% (±0.62%) while reducing the Attack Success Rate (ASR) from 97.00% down to 69.45% on the primary …

Dynamic Direct Voltage Control Under Maximum Torque Per Ampere For Interior Pmsms, Mohamad Alzayed, Hicham Chaoui, Alaref Elhaj

Electrical & Computer Engineering Faculty Publications

A novel method for controlling the speed of interior permanent magnet synchronous motors (IPMSMs), known as the current-sensing-based dynamic direct voltage control method under the maximum torque per ampere (MTPA) concept, is introduced. This technique achieves precise tracking of machine velocity by determining the optimal combination of voltage amplitude and angle for each specific motor velocity and current/load condition. Unlike previous studies, this approach takes into account the transient model of the machine, resulting in improved accuracy during dynamic operating conditions compared with existing methods in the literature. Moreover, a comparative analysis is conducted involving different direct voltage MTPA speed …

Generalized Inverter Fault Detection Using Normalized Current Features And A Lightweight Bilstm Network, Mohammad Zamani Khaneghah, Mohamad Alzayed, Hicham Chaoui

Electrical & Computer Engineering Faculty Publications

Fault detection and diagnosis of three-phase inverter-fed motor drives is essential for ensuring system reliability, safety, and continuous operation in applications such as electric vehicles and industrial automation. This paper proposes a data-driven fault detection framework based on normalized current features and a lightweight bidirectional long short-term memory (BiLSTM) network which can be generalized to different motor power rating in the same controller system. A compact set of six time-domain features, consisting of the mean and root-mean-square (RMS) values of the phase currents, is extracted and normalized with respect to the average RMS value. This normalization effectively removes dependency on …

Generative Ai-Driven Optimization In Flexible And Reconfigurable Manufacturing Systems, Salah Hammedi, Hicham Chaoui, Lotfi Nabli

Electrical & Computer Engineering Faculty Publications

Flexible and Reconfigurable Manufacturing Systems (FRMSs) are essential for coping with variability in modern production environments; however, efficient scheduling and rapid reconfiguration remain challenging. This paper presents a hybrid optimization framework that integrates Colored Petri Net (CPN) modeling with Generative Artificial Intelligence (GenAI) to enhance scheduling performance and system adaptability. The CPN formalism ensures verifiable modeling of system dynamics, while a transformer-based generative model produces candidate scheduling and reconfiguration strategies. Simulation experiments were conducted under static, dynamic, and adaptive scenarios, including machine breakdowns and dynamic job arrivals. Performance was evaluated using makespan, mean flow time, machine utilization, and reconfiguration latency. …

Recent Advances In Bioceramics, Fundamental Properties And Future Perspective In Biomedical Applications ‒ A Review, Ayesha Younas, Muhammad Umar Aslam Khan, Mohd Faizal Binte Abdullah, Lobat Tayebi, Shuanghu Wang, Abdalla Abdal-Hay, Yichi Xu

Electrical & Computer Engineering Faculty Publications

Bioceramics are important biomaterials in biomedical engineering because of their biocompatibility, bioactivity, osteoconductivity, and structural resemblance to actual bone tissue. In recent years, materials science and nanotechnology have enabled the use of bioceramics in bone regeneration, dental restoration, tissue engineering, drug delivery systems, and implantable medical devices. This comprehensive review covers advances in bioceramics, including calcium phosphates, hydroxyapatite (HAp), tricalcium phosphate, bioactive glasses, zirconia, alumina, and multifunctional ceramic nanocomposites. Priority is given to techniques such as additive manufacturing, 3D printing, sol-gel processing, electrospinning, and nanostructuring to improve mechanical strength, porosity, bioactivity, and cell interactions. Recent advances include ion doping, surface …

Application Of A Hyaluronic Acid-Based Lotions Containing Hydroxyapatite Nano-Particles Approach For Treatment Of Initial Dental Caries, Zahra Gharavi, Zahra Namazi, Fatemehsadat Pishbin, Helia Givian, Maryam Torshabi, Farhood Najafi, Parisa Amdjadi

Electrical & Computer Engineering Faculty Publications

This study evaluated the remineralization potential of a ceramic–polyelectrolyte system, based on a novel combination of hydroxyapatite nanoparticles (HAp NPs) and a hyaluronic acid (HY) matrix, for dental enamel, a tissue that remains challenging to repair in clinical dentistry. Nano-Hydroxyapatite (nanoHAp) powder was synthesized and characterized using X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), field-emission scanning electron microscopy (FE-SEM), dynamic light scattering (DLS), and zeta potential analysis to confirm their crystalline structure, functional groups, morphology, particle size distribution, and colloidal stability. HY-based suspensions (remineralizing lotions) containing 5, 10, and 12 wt% of the synthesized nanoHAp particles were formulated via a …

Affordable Course Content And Open Education Resources For Undergraduate Courses Teaching Fundamentals Of Wireless Communications And Networking, Dimitrie C. Popescu, Otilia Popescu

Electrical & Computer Engineering Faculty Publications

Wireless communication systems and networks along with the services they provide have become an essential component of the modern 21st century society, fueling job growth in the wireless industry and increasing the need for engineers specialized in wireless communication systems. As a consequence, over the past two decades, undergraduate courses teaching fundamentals of wireless communication systems and networks have become common in electrical and computer engineering and technology programs. At the same time, the number of textbooks dedicated to wireless systems and networks published by mainstream publishers has also grown, with availability in various formats and offerings and a significant …

Automated Writer And Acquisition-Condition Classification Of Digitally Captured Handwriting Using Statistical Dynamic Features And Support Vector Machines, Long-Huang Tsai, Hsiang-Ju Lai, Wen-Chao Yang, Jiajun Jiang, Chung-Hao Chen

Electrical & Computer Engineering Faculty Publications

Digitally captured handwriting preserves pen trajectories and dynamic signals, but it also records hardware- and input-dependent properties that can confound forensic interpretation. This study revises a support vector machine (SVM) screening framework using 16,500 samples from 30 writers, 11 writing-content categories, and five acquisition conditions spanning three tablets and stylus or finger input. Twenty-four raw and derived time-series variables were summarized by maximum, minimum, mean, median, and standard deviation, yielding 120 features; the mode statistic was removed. Writing direction and angular velocity were recalculated with atan2-based vector formulas. Unavailable device/API channels were encoded as zero, and Z-score parameters were estimated …

3d-Printed Alginate Scaffolds Incorporated With Synergistic Strontium/Magnesium - Doped Bioglass Nanoparticles For Bone Regeneration: An In Vivo Evaluation In Rabbit Cranial Defects, Mehraneh Movahedi Aliabadi, Afsaneh Jahani, Seyed Majdoddin Vahidi Toorchi, Ali Moradi, Mohammad Hossein Ebrahimzadeh, Fatemeh Kalalinia, Farkhonde Sarhaddi, Lobat Tayebi, Nafiseh Jirofti

Electrical & Computer Engineering Faculty Publications

Nonunion fractures remain a major orthopedic challenge, highlighting the need for improved bone tissue engineering (BTE) strategies. This study hypothesized that incorporating Sr/Mg-doped 58S bioglass nanoparticles into 3D-printed alginate (Alg) scaffolds would improve their physicochemical, mechanical, and biological properties and enhance bone regeneration. Structural characterization showed that Sr/Mg-doping reduced bioglass size and produced interconnected porous scaffolds. Under wet conditions, Alg scaffold incorporating 2.5%Sr/Mg-doped 58S bioglass showed the highest Young’s modulus (0.4356 ± 0.0244 MPa), whereas under dry conditions, the Alg scaffold incorporating 5%Sr/Mg-doped 58S bioglass achieved the highest value (0.1945 ± 0.0519 MPa). In vitro studies demonstrated biocompatibility and enhanced …

Stabilized Multi-Objective Optimization For Camouflage Attack In Remote Sensing, Omid Rajabi Rostami, Kazi Aminul Islam, Liuwan Zhu, Rui Ning, Chungsheng Xin, Hongyi Wu, Jiang Li

Electrical & Computer Engineering Faculty Publications

We investigate the vulnerability of multi-task maritime surveillance systems in which object detection and semantic segmentation operate concurrently. We propose Stabilized Multi-Objective Optimization (SMO), a framework that jointly targets Mask R-CNN and U-Net with a single universal adversarial texture in a digital white-box setting, with additional cross-model transfer evaluation. SMO combines a logarithmic-inversion loss transformation, feature inconsistency, and a systematic comparison of six optimization strategies for seven heterogeneous objectives. The loss transformation controls loss-dependent gradient scaling, while a U-Net generator supplies a spatially coherent texture and a hull-aligned application function accommodates target geometry without explicit Expectation over Transformation (EoT) sampling. …

Calvin Theological Seminary Academic Catalog 2026-2027, Calvin Theological Seminary

Seminary Academic Catalogs

No abstract provided.

Senolytic-Resistant Senescent Cells Have A Distinct Sasp Profile And Functional Impact: The Path To Developing Senosensitizers, Utkarsh Tripathi, Masayoshi Suda, Vagisha Kulshreshtha, Bryan T Piatkowski, Allyson K Palmer, Nino Giorgadze, Christina Inman, Nathan Gasek, Ming Xu, Kurt O Johnson, Tamar Pirtskhalava, Selim Chaib, Larissa P G Langhi Prata, Yi Zhu, Renuka Kandhaya-Pillai, Stefan G Tullius, Saranya P Wyles, Rambabu Majji, Hari Krishna Yalamanchili, David B Allison, Tamar Tchkonia, James L Kirkland

Faculty, Staff and Students Publications

The senescent cell (SC) fate is linked to aging, multiple disorders and diseases, and physical dysfunction. Senolytics, agents that selectively eliminate 30%-70% of SCs, act by transiently disabling the senescent cell antiapoptotic pathways (SCAPs), which defend those SCs that are proapoptotic and pro-inflammatory from their own senescence-associated secretory phenotype (SASP). Consistent with this, a JAK/STAT inhibitor, Ruxolitinib, which attenuates the pro-inflammatory SASP of senescent human preadipocytes, caused them to become "senolytic-resistant". Administering senolytics to obese mice selectively decreased the abundance of the subset of SCs that is pro-inflammatory. In cell cultures, the 30%-70% of human senescent preadipocytes or human umbilical …

Empowering Students To Engage With Climate Change Action: A Project-Based Module For Artificial Intelligence Literacy And Sustainability Thinking, Gabriel Granco, Yu Chen, Heather Macias, Yunfei Hou, Frank A. Gomez

Faculty Research, Scholarly, and Creative Activity

There is a growing need to prepare students to address complex environmental challenges, particularly climate change and the expanding role of artificial intelligence (AI). This article examines the adaptation of the Artificial Intelligence for Social Good (AI4SG) Ideation module, a pitch- and project-based teaching framework designed to integrate AI literacy and sustainability education. Implemented in an upper division climate change course, the module combines project-based learning, culturally responsive pedagogy, and geographic thinking to guide students in developing community-oriented AI proposals aligned with the United Nations Sustainable Development Goals (SDGs). Students were encouraged to approach their communities not through deficit lenses, …

Federal Protections For Farmworker Health In The United States: A Scoping Review Of Three Decades Of Research, Kaitlyn Alvarez Noli, Stephane Labossiere, Becca Berkey, Joseph G. Grzywacz

Faculty Research, Scholarly, and Creative Activity

Objectives: This scoping review characterizes the scope, methods, and framing of empirical research evaluating the Field Sanitation Standard (FSS) and Worker Protection Standard (WPS) of the U.S. Environmental Protection Agency and the U.S. Department of Labor respectively. Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we identified empirical studies (1990–2024) assessing elements of either the FSS or WPS. Two reviewers screened and extracted study characteristics, designs, populations, and regulatory elements. Framing analysis of 1226 segments, identified using a large language model, from the studies' abstracts and introductions examined how authors conceptualized farmworkers' need for protection. …

Generation Of Impact Factor-Driven Security Rating Questionnaire Using Llms For Aiot Applications, Yuna Han, Simon Shim, Deva Kumar Gajulamandyam, Yeji Choi, Hyunwoo Lee, Hangbae Chang

Faculty Research, Scholarly, and Creative Activity

Industry 4.0 has transformed industries by accelerating the adoption of artificial intelligence of things (AIoT); however, it has also led to security risks, such as data leakage. Existing data protection research focuses on network layers, whereas application-layer rating systems rely on subjective evaluations, limiting consistency and applicability. This study proposes a scalable and objective AIoT security rating framework that clarifies ambiguities in the five-question rating system of the Korean Intellectual Property Office and unifies fragmented managerial and technical rating systems. By leveraging large language models (LLMs), the framework integrates a security rating model based on 14 impact factors with automated …

Seeds Of Sovereignty: Critical Public Health, Radical Sisterhood, And The Fight For Agricultural Justice, Andrew L. Carter

Faculty Research, Scholarly, and Creative Activity

This book explores the historical and contemporary influence of African, Caribbean, and Black (ACB) women farmers in the fight for food justice. ACB foodways have been dismantled over time due to centuries of settler colonialism, discriminatory agricultural policies, land and knowledge theft, cultural erasure, and direct forms of violence and intimidation—creating vast inequities in today’s food system. At the same time, mainstream public health responses to food insecurity and access in ACB communities often focus on short-term solutions that do not empower local communities and keep the status quo intact. These approaches overlook the broader structural constraints that maintain and …

Brain Death Versus Circulatory Death: How Functional Warm Ischemia And Cold Storage Impact Myocardial Membrane Repair In Human Donor Hearts, Shiyi Li, Rishav Bhattacharya, Abdussalam E Elsenousi, Katherine V Nordick, Adel M Hassan, Syed B Peer, Camila Hochman-Mendez, Todd K Rosengart, Kenneth K Liao, Nandan K Mondal

Faculty, Staff and Students Publications

This study compares myocardial injury responses in human donor hearts from donation after brain death (DBD) and donation after circulatory death (DCD), with a focus on myocardial membrane integrity, pyroptosis, and damage. Unlike DCD hearts, which are exposed to varying durations of functional warm ischemic time (fWIT), DBD hearts, which are never subjected to warm ischemia, served as controls. A total of 24 human hearts were procured, consisting of 6 from the DBD group and 18 from the DCD group. All procured hearts were placed in cold normal saline and stored for up to 6 h. Left ventricular biopsies were …