Digital Commons Network^™

Multi-Agent System For Cognitive Work Automation Using An Adversarial Review Panel, Tanmay Kayande, Laura Hartney

Defensive Publications Series

This disclosure describes systems and methods for a multi-agent framework that can automate and scale cognitive work. The framework can, for example, use a cognitive assembly line of specialized computational agents to perform tasks such as research and drafting. A beneficial component could be an adversarial review panel (ARP), which is a multi-agent review system where distinct agent personas critique a generated draft from varied perspectives. The structured feedback from the ARP can be used to automatically iterate on and refine the work product. This approach can improve the intellectual rigor of generated content and reduce the time required for …

System For Accessibility-Optimized Pedestrian Navigation Using A Granular Environmental Data Layer, Kshitij Suresh Gaikar, Pushkar Mittal

Defensive Publications Series

Conventional pedestrian navigation systems may not adequately account for the needs of users with mobility or sensory impairments, often suggesting routes with barriers such as stairs or poor pavement. This disclosure describes a system for accessibility-optimized navigation that can utilize a granular environmental data layer. This data layer can be populated from sources, for example, computer vision analysis, crowdsourcing, and municipal datasets, to annotate map data with accessibility attributes such as surface quality, ramp gradients, and tactile paving. A profile-based routing engine can use this data to compute paths by applying a dynamic cost function tailored to a user's specific …

Continuous Ambient Microphone Calibration Via Opportunistic Broadband Auditory Icons, Rajeev Nongpiur, Chris Breithaupt

Defensive Publications Series

Performance drift in microphone arrays is often caused by environmental factors such as dust, moisture, and grime accumulating over time. This spectral mismatch degrades the performance of spatial audio algorithms that rely on precise array calibration. To address this limitation, a continuous calibration method is disclosed wherein broadband earcons are opportunistically played through device speakers. Audio responses are recorded by on-device microphones during defined user scenarios. A background model is generated to filter out environmental noise and room reverberation from these recordings. Subsequently, the filtered in-field measurement is compared against a reference factory template to estimate spectral deviation. A calibration …

2025 Uninsured Adult Healthcare Safety Net Annual Report, Tennessee. Department Of Health.

Healthcare Safety Net Annual Report

No abstract provided.

The Role Of Extracellular Vesicles As Diagnostic Tools In Gut-Brain Axis Disorders, Patricia Marçal Da Costa, Paulo Iury Gomes Nunes, Gabriella Cunha Vieira Ciurleo, José Wagner Leonel Tavares Junior, Pedro Braga Neto, Ludmila Belayev, Reinaldo Barreto Oriá

School of Graduate Studies Faculty Publications

The gut–brain axis represents a dynamic two-way signaling network whose dysregulation has been implicated in a wide range of neurogastrointestinal disorders. In this context, extracellular vesicles (EVs) have emerged as critical mediators of intercellular signaling and as promising non-invasive biomarkers. Derived from host and microbial cells, EVs carry bioactive cargo—including proteins, lipids, nucleic acids, and metabolites—that reflect the physiological or pathological state of their cells of origin. Their ability to cross biological barriers, such as the blood–brain barrier, underscores their potential for diagnosing and monitoring gut–brain axis dysfunctions. In this mini-review, we integrate microbial and brain-derived EVs within the framework …

State Of California Cannabis Reporting, University Of Mississippi – National Center For Cannabis Research And Education

California

No abstract provided.

Systematic Review And Meta-Analysis Of Placebo Cure In Onychomycosis Clinical Trials, Julianne M. Falotico, Zachary J.K. Neubauer, Anjile An, Shari R. Lipner

Student Papers, Posters & Projects

No abstract provided.

Esg Performance In The Regulatory Transformation Era: A Systematic Thematic Review (2020–2024), Jiyeon Kim Ph.D., Wooyoung Yang

Faculty Publications

Introduction:

The 2020-2024 period represents a regulatory transformation era in ESG research, marked by mandatory disclosure frameworks (CSRD/ESRS, SEC climate rules, ISSB standards) replacing voluntary approaches. This creates a natural experiment for examining ESG-performance relationships under compulsory reporting. Despite extensive voluntary-period literature, limited research addresses how mandatory frameworks alter these relationships during regulatory transformation.

Methods:

We conducted a systematic thematic review following PRISMA 2020 guidelines (INPLASY202570105). Comprehensive database searches (2020–2024) yielded 4,441 records; after screening (Cohen's κ = 0.89), 17 high-quality studies met inclusion criteria (12 primary search, 5 ESRS-specific supplementary search). Thematic analysis identified ten interconnected themes grounded in …

The Role Of Micrornas As Potential Biomarkers In Diffuse Large B-Cell Lymphoma, Eirini Panteli, Epameinondas Koumpis, Vasileios Georgoulis, Georgios Petros Barakos, Evangelos Kolettas, Panagiotis Kanavaros, Alexandra Papoudou-Bai, Eleftheria Hatzimichael

Computational Medicine Center Faculty Papers

Diffuse large B-cell lymphoma (DLBCL) is the most common and clinically aggressive subtype of non-Hodgkin lymphoma (NHL). While novel therapies such as rituximab and polatuzumab vedotin have led to improved outcomes, approximately 35% of patients eventually develop relapsed or refractory disease. MicroRNAs (miRNAs), a class of endogenous single-stranded RNAs approximately 22 nucleotides in length, play a pivotal role in the regulation of gene expression at the post-transcriptional level through interactions with complementary target RNAs and contribute significantly to the development, progression, and treatment response of DLBCL. Oncogenic miRNAs, such as miR-155, miR-21, and the miR-17-92 cluster, promote proliferation, survival, immune …

Civc Curriculum Committee Minutes January 7, 2026, Utah State University

Educational Policies Committee

• Call to Order
• New Business 
• Adjourn: 10:02 am 

Bedford Avenue Associates V. Gurley

All Decisions

In this project-based Section 8 non-payment proceeding, the tenant moved for summary judgment and an order to correct. The court granted the tenant's unopposed motion, dismissing the landlord's non-payment claim without prejudice due to the landlord's failure to serve the required Violence Against Women Act (VAWA) notice with the termination notice. The court also granted the tenant's demand for an order to correct housing violations, finding nine open violations in the apartment as per DHPD's report.

Evaluating Impact Of Occupational Exoskeletons On Physical Fatigue Using Wearable Sensors And Deep Learning, Hardik Vora, Fatemeh Davoudi Kakhki, Armin Moghadam

Faculty Research, Scholarly, and Creative Activity

Musculoskeletal disorders remain a leading source of occupational injury in manufacturing and logistics industries, often resulting from repetitive lifting and load transfer tasks. While back-support exoskeletons have shown promise in alleviating physical strain, their biomechanical impact under realistic task conditions and their integration with intelligent monitoring systems require further exploration. This study investigates the efficacy of a passive lumbar-support exoskeleton in reducing muscle fatigue during manual material handling tasks by combining high-resolution surface electromyography (sEMG) data with a deep learning-based classification framework. Ten participants performed lifting and rotational (twisting) tasks with and without exoskeleton assistance, while EMG signals were collected …

January 2026, Office Of Sustainability

Office of Sustainability Newsletter

No abstract provided.

College Of Professional Studies Helps Couple Balance Family, Duty, And Degrees, Unh Communications And Public Affairs

UNH Today Archive

No abstract provided.

Can Birds Spread Harmful Bacteria On Dairy Farms?, Mark Wanner

UNH Today Archive

No abstract provided.

Ai In Ocean Traffic Monitoring, Tyler Hawkins, Steven D. Meyers, Aishlin Ingraham, Mark E. Luther

Making Waves REU

The Maritime Automatic Identification System (AIS) produces over 100 terabytes of data annually. offering vital insights into globaJ vessel traffic, identity, and navigation patterns. However, the massive volume and inconsislent quality of AIS data introduce challenges for researchers seeking to extract reliable and applicable information. This study investigates the, effectiveness of Julius Al, an off-the-shelf data science platform, for streamlining the analysis of a ilarge AIS dataset, spanning 2015 to 2019 and covering over 42 million messages from Florida's five busiest ports. The results were compared to a previous human analysis. By leveraging only natural language prompts, we explore how …

Bayesian Multi-Cell Type Models For The Analysis Of Complex Immune Cell Populations With Application To Ovarian Cancer., Chase J. Sakitis, Jose Laborde, Julia Wrobel, Alex C. Soupir, Christelle M. Colin-Leitzinger, Benjamin G. Bitler, Mary K. Townsend, Andrew B. Lawson, Joellen M. Schildkraut, Shelley S. Tworoger, Kathryn L. Terry, Lauren C. Peres, Brooke L. Fridley

Manuscripts, Articles, Book Chapters and Other Papers

To understand how the tumor immune microenvironment (TIME) impacts clinical outcomes and treatment response, researchers have been leveraging single-cell protein multiplex imaging techniques. These technologies measure multiple protein markers simultaneously within a tissue sample, providing a more complete assessment of the TIME. However, statistical challenges arise from the over-dispersed and zero-inflated nature of the data and from relationships among different immune cell populations. To address these challenges, we developed a Bayesian hierarchical method using a beta-binomial (BB) distribution to model the abundance of multiple immune cell types simultaneously while incorporating relationships and immune cell differentiation paths. We applied the model …

Pathways, Outputs And Impact Of Nih-Supported Bioinformatics And Genomics Graduate Trainees In Africa, Cisse Cheickna, Ronald Galiwango, Caleb Kibet, Florence N Kivunike, Gerald Mboowa, Fredrick Elishama Kakembo, Babajide Ayodele, Jean-Baka Domelevo Entfellner, Santie De Villiers, Karen Wambui, Segun Fatumo, Tinashe Chikowore, John Mukisa, Alfred Ssekagiri, Nicholas Bbosa, Julius Mulindwa, Samuel Kyobe, Mike Nsubuga, Grace Kebirungi, Eric Katagirya, Savannah Mwesigwa, Ibra Lujumba, Rogers Kamulegeya, Samuel Kirimunda, Stephen Kanyerezi, Shahiid Kiyaga, Ivan Sserwadda, Davis Kiberu, Bernard S Bagaya, Julius Okwir, Patricia Nabisubi, Grace Nabakooza, Mugume Twinamatsiko Atwine, Ricard Sserunjogi, Rolanda Julius, Mariam Quiñones, Meghan Mccarthy, Phillip Cruz, Karlynn Noble, Christopher J Whalen, Darrell Hurt, Maria Y Giovanni, Michael Tartakovsky, Deogratius Ssemwanga, John M Kitayimbwa, Steven J Reynolds, Christopher C Whalen, Andrew Kambugu, Neil A Hanchard, Li Jian, Peter Amoako-Yirenkyi, Graeme Mardon, I King Jordan, Samson Pandam Salifu, Mamadou Wele, Ezekiel Adebiyi, Jeffrey G Shaffer, Seydou Doumbia, David Patrick Kateete, Michelle Skelton, Nicola Mulder, Jonathan K Kayondo, Daniel Masiga, H3africa Consortium

Faculty, Staff and Students Publications

Global biomedical and health research is increasingly relying on genomic and computational approaches, largely driven by the increasing volumes of nucleic acid sequencing. Concurrently, epidemiological studies and clinical records are generating enormous amounts of data amenable to disease modeling, machine learning, and artificial intelligence techniques. Bioinformatics and data science expertise is therefore essential for improved population health. Accordingly, in 2012, the US National Institutes of Health (NIH) in partnership with the Wellcome Trust, and with support from the African Society for Human Genetics, initiated the H3Africa (Human Heredity and Health in Africa) consortium. One of its key goals was to …

Harnessing Microbial Tools: Escherichia Coli As A Vehicle For Neuropeptide Functional Analysis In Caenorhabditis Elegans, Douglas K Reilly, Rachel N Arey, Jagan Srinivasan

Faculty, Staff and Students Publications

Animals respond to changes in their environment and internal states via neuromodulation. Neuropeptides modulate neural circuits with flexibility because 1 gene can produce either multiple copies of the same neuropeptide or different neuropeptides. However, with this architectural complexity, the function of discrete and active neuropeptides is muddled. Here, we design a genetic tool that facilitates functional analysis of individual peptides. We engineered Escherichia coli bacteria to express active peptides, fed loss-of-function Caenorhabditis elegans, and rescued the activity of genes with varying lengths and functions: pdf-1, flp-3, ins-6, and ins-22. Some peptides were functionally redundant, while others exhibit unique and previously …

Change Detection In An Electronic Device Using Resonant Frequency Analysis, Alan She

Defensive Publications Series

Detecting internal physical changes in an electronic device (e.g., a smartphone, smart watch, wearable device) may be difficult with some conventional methods, and is often limited to chemical or electrical monitoring that fails to detect structural changes. A system can perform a mechanical resonant frequency analysis using existing hardware components, such as a haptic actuator and one or more sensors (e.g., an accelerometer, a microphone). The haptic actuator can be configured to generate a vibrational stimulus across a range of frequencies, while the sensors can measure the device's corresponding response. This measured response data can be processed to generate a …

Automated System For Real-Time Display Failure Detection During Mechanical Stress Testing, Joshua Aganad, James Ho, Jared Baker, Kardile Ajay Sadashiv, Maxim Sivov, Venkata M K Akula, Eugene Bykov

Defensive Publications Series

Mechanical reliability testing of electronic displays may be limited by manual inspection methods. A system is described that synchronizes mechanical stress application with real-time optical analysis. An optical sensor, such as a camera, can monitor a display under load while a computing device (e.g., a server, personal computer, or smartphone) executes an algorithm to detect visual changes indicative of failure. Upon detecting a change that meets pre-configured criteria, for example a threshold for pixel brightness change, the system can generate and transmit a stop signal to the mechanical testing apparatus. This automated, closed-loop approach may reduce latency and subjectivity, allowing …

Partial Threaded Barrel Nut With Hollow Spacing Along Unthreaded Portion Concept, Anonymous

Defensive Publications Series

Current bolts and nuts used to attach vehicle parts experience failure during crash due to bolt over constrained by the nut. New design of barrel nuts to reduce bolt loads under crash events by reducing bolt constraints (more of the bolt shaft can deform) is presented. Update the thread location to be further away from the head and creating a hollow space between the bolt and the nut before the starting of the thread enables bolt to deform more, subsequently reduce shear load, failure risk and keep the integrity of vehicle’s major structures.

Integrated Road Usage Fee Management Within Digital Navigation Systems, Paula Marques

Defensive Publications Series

Digital navigation systems may identify routes with fee-based road segments, such as tolls or vignettes, but may not provide an integrated method for payment. This can result in a fragmented and manual process for drivers with varied and unfamiliar payment systems. A system is described for integrating road usage fee management within a digital navigation service. The system can utilize a route analysis engine to identify fees, a client-side geofencing module on a computing device (e.g., a smartphone, smart watch, wearable device, in-vehicle infotainment system, augmented reality glasses, etc.) To detect a vehicle's entry into a fee-based zone, and a …

Advertising Targeting System For Products Dynamically Synthesized From User Specifications, Lakshmi Kumar Dabbiru, Sneha Sripadaraja Kudli

Defensive Publications Series

Online advertising systems that rely on static product catalogs may have challenges serving advertisements for custom products specified by users in real-time. A technical framework can use an image synthesis engine to generate a product image based on user input, such as text or images. This dynamically generated image may then function as an ad creative. An advertiser targeting module can match the creative to eligible advertisers who may validate the design, for example, through a real-time application programming interface call, and return dynamic metadata like pricing and material options. This system can facilitate the presentation of transactable offers for …

Dynamic Ai Agent Orchestration For Nl-To-Sql Query Generation, Janga Aliminati, Manny Sanchez Munoz, Sundeep Narravula, Robin Singh

Defensive Publications Series

Reliably generating accurate structured query language (SQL) queries from natural language (NL) inputs is a difficult task due to challenges such as schema ambiguity, uncertainty regarding table relationships, complex business logic makes, etc. LLM-based solutions are often unable to operate reliably within complex, real-world enterprise environments with complex datasets. This disclosure describes the use of agentic artificial intelligence (AI) for NL-to-SQL query transformations. A semantic data layer leverages a three-tiered model - attributes, entities and cubes. Attributes define dimensions within a table, entities represent a logical view of data, and cubes act as business objects that abstract the complexity of …

Centralized Qr Trust Repository (Cqtr) With Merchant Name Uniqueness For Fraud Prevention In Qr Code Payments, Alok Roy Mr

Defensive Publications Series

The disclosed systems and methods use a Centralized QR Trust Repository (CQTR) for securing and streamlining merchant onboarding and transaction validation, and to address critical challenges in QR-based payments such as cross-acquirer fraud and counterfeit QR codes system performs transaction validation. At the time of onboarding, merchant details such as merchant or business name, account information, and KYC are collected by client servers and CQTR conducts uniqueness validation to ensure name uniqueness across all acquirers. CQTR performs similarity checks, including fuzzy matching and phonetic analysis and prevents duplicate registrations. After successful validation, CQTR generates and registers unique QR codes static …

Ai-Driven Application Intent For Seamless End-To-End Guaranteed Quality Of Service Packet Forwarding, Jaganbabu Rajamanickam, Madhan Sankaranarayanan, Paul Jensen, Sumant Mali, Krishna Deevi

Defensive Publications Series

A next-generation approach to network Quality of Service (QoS) is proposed herein that enables direct, in-band communication of application intent using an innovative extension header, such as an Internet Protocol version 6 (IPv6) extension header. Using the proposed innovation, applications can embed concise, high-level QoS requirement strings or "intents" (e.g., 'ultra-low latency', 'AI/ML Training', etc.) into packet headers, allowing ingress edge devices to interpret these intents using a local policy database. Advanced matching engines, potentially leveraging machine learning, can enable flexible and semantically rich interpretation of these requirements/intents, surpassing traditional rigid classifications.

Glossary-Augmented Generative Ai For Enterprise Translation, Tanmay Kayande, Deep Raithatha, Akash Dambhare, Pooja Agrawal, Mohith P

Defensive Publications Series

Global enterprise operations can experience inefficiencies and service delays from language-siloed support queues, while generic machine translation tools may lack the context to handle enterprise-specific terminology. A system and method can facilitate multilingual communication by integrating a generative artificial intelligence model within enterprise workflow platforms, such as customer relationship management systems. The framework can programmatically retrieve a curated, enterprise-specific glossary and inject it into a translation prompt sent to the model. This technique grounds the model, instructing it to prioritize an organization's specific lexicon for a given translation. The approach can produce translations that are both linguistically fluent and terminologically …

System For Proactive Intervention And Dual-Mode Data Compliance, Tanmay Kayande, Pooja Agrawal, Akash Dambhare, Mohith P, Deep Raithatha

Defensive Publications Series

Enterprise service platforms can present operational challenges due to reactive support models and compliance risks associated with managing sensitive data, such as personally identifiable information (PII). A dual-function architecture may integrate a proactive intervention engine and an augmented data compliance framework. The intervention engine can analyze real-time data signals from various enterprise systems using an inference layer, such as a large language model, to predict potential user friction points and deliver preventative interventions. Concurrently, the compliance framework can provide a proactive component for detecting potential PII for human-in-the-loop review and an on-demand utility for creating non-destructive, anonymized versions of data …

Exploring Parenting Experiences: Fathers And Mothers Raising A Child With Autism, Simmi Santha

Walden Dissertations and Doctoral Studies

The experiences of parenting a child with autism spectrum disorder (ASD) have been widely studied in Western contexts. Still, limited research has explored how sociocultural factors shape these experiences in India. This qualitative study aims to address this gap by exploring and comparing the lived experiences of mothers and fathers raising a child with ASD in Kerala, India. The purpose of this study was to investigate how gender roles, cultural expectations, and social structures impact parental adaptation, coping, and caregiving practices. Bronfenbrenner’s ecological systems theory and Crenshaw’s ideas of intersectionality provide the conceptual framework of this study. Using an interpretative …