Digital Commons Network^™

Tethered Spinal Cord And Urinary Tract Complications In Trisomy 18, Michael A. Phillipi, Ladawna Gievers, Jesse L. Winer, Casey Seideman, Amanda J.H. Kim

Journal of Pediatric Genetics

Background: Trisomy 18 is an aneuploidy that has historically been associated with early mortality However, recently parents of children with complex conditions are more often pursuing life-prolonging medical interventions. The increasing use of neonatal intensive care has led to longer lifespans in infants affected by trisomy 18, allowing for later complications to emerge. While many comorbidities have been reported in the literature, tethered cord has rarely been reported in this population. This study examines the potential relationship between trisomy 18, tethered spinal cord, and related urinary tract complications. Methods: A retrospective chart review of subjects admitted to a single quaternary …

Lesch-Nyhan Disease A Treatable Mimicker Of Dyskinetic Cerebral Palsy In Boys: Insights From An Indian Series Of Six Cases With Report Of Four Novel Variants, Vykuntaraju K. Gowda, Spoorthy Nelaji Karunakar, Varunvenkat M. Srinivasan, Viveka-Santhosh Reddy

Journal of Pediatric Genetics

Background: HPRT1-related disorders are X-linked metabolic disorders of the purine pathway caused due to mutations in the hypoxanthine-guanine phosphoribosyl transferase (HPRT1) gene and present with features of dyskinetic cerebral palsy, self-mutilation/behavioral abnormality, and hyperuricemia in variable severity. Objective: Describe the clinical characteristics and treatment outcome of a series of 6 children with Lesch-Nyhan disease. Methods: Retrospective chart review from September 2022 to July 2024 of six molecularly confirmed cases of Lesch-Nyhan disease from India. Results: A total of 6 boys are described here. The mean age of onset was since birth, the age of diagnosis was 2 years 7 months, …

Deterministic Application Install Attribution Via Custom Store Page Parameterization, Ishan Bansal, Meng He, Jenn Park

Defensive Publications Series

The present disclosure relates to systems and methods for attributing application installations to digital advertising interactions within identifier-restricted environments. The system utilizes customizable application store landing pages to transport static attribution parameters from an advertising campaign to an installed application. An advertising entity generates a static parameter associated with a campaign, which is subsequently embedded into the configuration of a custom product page on a digital application distribution platform. When a user navigates from an advertisement to this custom page and actuates a specific interface element (such as an “Open” button) immediately following installation, the application store platform passes the …

Proactive Learned Indexing Driven By Query Workload Forecasting, Mukesh Kumar Marodia, Virender Kumar Singla, Saurabh Uttam

Defensive Publications Series

Systems for data indexing can involve a trade-off between the upfront cost of static indexes and potentially suboptimal performance from on-demand data scanning, while some reactive adaptive methods may incur an initial query latency penalty. This disclosure describes systems and methods for predictive, learned adaptive indexing. A forecasting component, which may use a sequence-aware machine learning model, can analyze historical query patterns to predict future data access ranges. Based on these predictions, a system can speculatively trigger just-in-time index construction on anticipated data partitions, for example, using available system resources. This proactive approach, which can be combined with a reactive …

Cloud Cost Modeling Using Architectural Patterns And Heuristic Translation, Thiyagaraj Krishna

Defensive Publications Series

Forecasting cloud infrastructure costs can present challenges due to the difficulty in translating high-level business objectives, such as projected user volume, into the granular technical inputs that some estimation tools may be configured to use. Systems and methods are described for cloud cost modeling that can utilize a repository of predefined architectural patterns and associated heuristic rules. A system can receive business-centric inputs, such as application type and volume metrics, select a corresponding architectural pattern, and apply heuristic logic to translate these inputs into a manifest of technical resource demands, for example, compute, storage, and networking resources. This process may …

Creating Realistic Virtual Spaces Using Laser Scans And Panoramic Images, Qian Zhang, Yunwen Zhou, Erin Hong, Eric Lee Turner, Dinghuang Ji, Jürgen Sturm

Defensive Publications Series

A method is disclosed for generating scalable, high-fidelity scene replicas by optimizing 3D Gaussian Splats directly within the equirectangular domain. Conventional pipelines often convert spherical scanner data into perspective views or surface meshes, a process that frequently introduces stitching artifacts, geometric seams, and floaters. To address these limitations, the described approach utilizes a differentiable panorama splat rasterizer. This component processes registered laser scan data and 3D point clouds natively in a spherical format, without projecting imagery onto flat perspective planes. By refining spherical harmonic coefficients and opacity through backpropagation against the original panoramic inputs, the method effectively mitigates conversion-induced distortions. …

Techniques For Qr-Enabled Card Capture For Mobile Payments, Dileep R. Dominic

Defensive Publications Series

The present disclosure relates to a method for facilitating secure card-not-present (CNP) mobile payments through the use of a physical payment card embedded with an encrypted QR code. The QR code encodes essential cardholder data, including a primary account number (PAN) and expiry date. The method involves recognizing a designated input field on a mobile device while accessing a payment gateway interface. An interface module displays a camera icon adjacent to the input field, enabling a scanning procedure that utilizes a native camera application to read the QR code. This scanning process automatically populates the input field with the decoded …

A Method And Payment System For Preventing Card Skimming During Payment Transactions, Binayak Biswas

Defensive Publications Series

The present disclosure relates to a method and payment system for preventing card skimming during payment transactions. The method involves generating a dynamic PIN token using a secret key and transaction-specific data. The dynamic PIN token is transmitted via a near-field communication (NFC) interface from a mobile device or contactless card to a point-of-sale (POS) terminal. This token is verified at a verification network utilizing the same secret key and transaction-specific data to confirm the authenticity of the payment transaction. Upon successful verification of the dynamic PIN token, the payment transaction is executed, ensuring that the token is unique for …

Self-Launching Boat (Slb), Colin Hilton

Defensive Publications Series

A maritime drone able to operate in displacement and planing modes on water, or as a sled upon surfaces like snow, ice or sandbanks. An ancillary feature of the craft is that as few as four motors allow it to be launched from land to water in the absence of any facilities, and afterward fly within 'surface-effect' should conditions permit.

Innovative Labyrinth Seal Design To Optimize Leakage And Thrust Loads In Refrigerant Compressor

Defensive Publications Series

Labyrinth seals play a crucial role in shaft sealing applications in protecting bearings and preventing contamination. However, they tend to have high leakage values which negatively impact compressor efficiency. This proposed solution of labyrinth seal provides an axial and radial arrangement of labyrinth design that reduces the leakage drastically and also helps in reducing the effective thrust load of the compressor.

Turbine Expander Wheel With An Integrated Thrust Generator

Defensive Publications Series

Designing a multi-stage centrifugal compressor involves several challenges, particularly concerning thrust and clearances. Efficient thrust balancing is essential to prevent excessive wear on bearings and ensure stable operation while optimizing tip clearance is essential to avoid performance losses. The proposed solution discloses a radial turbine wheel with a radially extended back disk that acts as a counterbalance thrust generator.

Reversed Compressor Housing Ported Shroud Rib

Defensive Publications Series

Ported Shroud for a turbocharger allows air from downstream of compressor to recirculate back to upstream to increase flow stability and avoid surge. To expand the operating range of a centrifugal compressor, shroud walls often have annular ribs. This invention proposes a reversed design of ported shroud rib that improves compressor surge behavior and widens compressor map without any additional cost.

Dynamic Channel Selection Via Persistent Client-Side State Mapping, Abhishek Prasad

Defensive Publications Series

Manual channel selection can be required when a user signs into a primary account with multiple corresponding profiles on a content sharing platform, provided that no default profile is configured. This results in redundant user prompts and inefficient use of network resources through additional round-trip requests. This disclosure relates to dynamically selecting an active channel based on historical activity on a specific client device. The identity of the last active channel used on the client device can be stored using authentication data (e.g., an encrypted state cookie). When a subsequent sign-in is initiated, the state cookie can be retrieved and …

Multimodal Retrieval-Augmented Generation For Context-Aware Source Code Modification, Zheng Liang, Aileme Omogbai, Erin Altenhof

Defensive Publications Series

Generative artificial intelligence models may face challenges when modifying components within large software systems, as they can lack the project-specific context to link a visual user interface element to its corresponding source code files. A system can utilize a multimodal retrieval-augmented generation approach where historical code revisions, which may include associated user interface images and textual descriptions, are processed with an embedding model to create a searchable vector index. At execution time, a user query, which can comprise a screenshot and a text prompt, may be used to search the index and retrieve semantically similar historical changes. This retrieved information, …

Scalable Personalized Score Approximation Via Core Subgraph Pre-Computation, Leonid Kuligin

Defensive Publications Series

Computing link analysis algorithm scores for individual nodes in a large-scale graph can be computationally expensive, which may limit practical application. A technique for approximating such a computation may be applied to graphs that can be partitioned into a core subgraph (G1) and a peripheral subgraph (G2) without edges pointing from G1 to G2. The approach may involve pre-computing and caching pruned vectors for nodes within the G1 subgraph. A link analysis algorithm score for a node in the G2 subgraph can then be approximated by calculating a linear combination, such as an arithmetic mean, of the cached vectors corresponding …

Adaptive Correction Of Digital Map Features Using A Text-Guided Generative Model, Yotam Intrator, Idan Kligvasser, Ehud Rivlin, Amir Livne

Defensive Publications Series

Static machine learning models applied in automated cartography may produce inaccurate map features or may not adapt to localized guidelines without potentially costly retraining. A post-processing framework can utilize a multi-modal, text-guided generative model to perform adaptive corrections. For example, a system can receive a visual representation of a map segment, such as a raster image of road markings, and a set of natural language guidelines as input. The generative model can then process these inputs to synthesize a new visual representation where map features may be altered to conform with the specified guidelines. This approach can decouple correction logic …

Automated Generation Of Product Compliance Briefs Using A Generative Model And Enterprise Data Sources, Venkat Sharma Gaddala, Gary Borella, Krish Mohan, Nanda Balasubramanian, Raghu Ravisankar, Shaswat Kumar, Joe Heinrich, Debbie Masada

Defensive Publications Series

The manual creation of specialized compliance documentation for international trade may be a resource-intensive process, potentially leading to operational delays. Systems and methods are described for the automated generation of product briefing documents. The technology may utilize a central orchestration service that integrates a generative artificial intelligence model with multiple enterprise data sources, for example, product lifecycle management systems and repositories of existing documents. To generate a new document, the system can identify similar products based on shared attributes, such as a commodity code, and could use data from these products to construct a few-shot prompt for the model. This …

Cascaded Model Architecture For Resource-Efficient Contextual Action Suggestion, Lixia Liu, Jian Wu, Georgi Angelov, Jiang Wang

Defensive Publications Series

Providing real-time contextual action suggestions in communication environments can involve computational cost and latency associated with running large-scale artificial intelligence models. A system can address these considerations using a cascaded, multi-layered modeling architecture. The system may first process contextual data, such as live meeting transcripts, through a lightweight, computationally inexpensive classification model. If this model returns a prediction with a confidence score below a predetermined threshold, the request can be escalated to a more resource-intensive model, such as a large language model, for a more nuanced analysis. This gating mechanism can balance predictive accuracy with computational efficiency, which may reduce …

Dynamic Distillation Cache For Augmenting A Local Generative Model With Teacher Model Reasoning, Ben Mccormack, Pablo Rodriguez, Karin Breitman, Sol Chea, Orna Berry Keren

Defensive Publications Series

Organizations in regulated or disconnected environments may face challenges in deploying high-performance generative models due to data residency or connectivity constraints, while local models can exhibit a performance gap for certain complex tasks. A hybrid architecture can augment a local student generative model using a dynamic distillation cache. This system can capture outputs, such as final answers, and underlying reasoning patterns from a remote teacher model. When a new query is received, the system can use semantic similarity to retrieve relevant cached reasoning and provide it as context to the local student model. This method of in-context distillation may allow …

Extract_Text_From_Pdfs, Manish Rami

Software

This file uses two programs to extract text from pdfs. The text then can be analyzed for various purposes.

Lindenwood Celebrates Five Years Of Partnership With University Of Mosul, Lindenwood University

Archived Lindenwood Press Releases

No abstract provided.

Taming Psoriatic Inflammation: Targeting The Inos–Oxidative Stress–Necroptosis Axis For Precision Therapy, Tolulope Omotope Omolekan, Tithi Roy, Jean Christopher Chamcheu

Faculty Publications

Necroptosis is increasingly recognized as a central driver of psoriatic inflammation, promoting keratinocyte death and sustaining immune activation. Recent evidence shows that inducible nitric oxide synthase (iNOS) deficiency and exogenous nitric oxide (NO) supplementation ameliorate psoriasis-like dermatitis in mice by reducing oxidative stress and constraining necroptotic signaling. These findings identify iNOS-derived NO as both a mediator of reduction–oxidation (redox) imbalance and a key regulator of necroptosis, thereby advancing mechanistic insight into psoriatic pathogenesis. Importantly, they highlight the iNOS–oxidative stress–necroptosis axis as a translationally actionable therapeutic target. Modulating necroptotic cell death through NO-based interventions may restore epidermal homeostasis and improve clinical …

The Expansion Of Exposure Notification Software To Enhance Disease Surveillance And Ring Vaccination, Julia Felton

URGENT Matters

No abstract provided.

Stress And Emotion Regulation In U.S. Undergraduate Students: A Theoretical And Narrative Review, Joshua Ross Pilchik

ETD Collection

Everyone experiences stress, but young adulthood brings some of the most intense and impactful stressors people face in their entire lives. For U.S. undergraduate students, persistent academic, financial, and social demands are ever-present, concurrent with a niche developmental period marked by identity exploration, assumption of new life roles, and growing autonomy (Arnett, 2000, 2015). Emotion regulation guides the ways people influence which emotions they have, when they have them, and how they experience or express them (Gross, 1998, 2015). Emotion regulation acts as a cornerstone for how students interpret and respond to these stressors (Compas et al., 2014; Aldao, 2013), …

The Rise Of The Black Female Producer: The Representation Of Black Joy, Mar'vellis T. Martin

McNair Scholars Collection

Issa Rae and Quinta Brunson are redefining what it means to tell Black stories on screen. Through shows like Insecure and Abbott Elementary, they elevate Black joy, community, and offer narratives that reflect the culture. With a rise in diverse female voices in media, Black female producers have emerged as cultural powerhouses telling stories beyond trauma and stereotype. This project examines how their shows contribute to a broader movement of authentic Black storytelling. Through comedic elements and community-based narratives, both shows capture the richness of everyday Black life.

Prediction Of Outcome From Spatial Protein Profiling Of Triple-Negative Breast Cancers., Ali Foroughi Pour, Te-Chia Wu, Javad Noorbakhsh, Jan Martinek, Santhosh Sivajothi, Paul Robson, Karolina Palucka, Jeffrey Chuang

Faculty Research 2026

BACKGROUND: In tumors, reciprocal spatial interactions between immune cells, their mediators, the extracellular matrix, and mutated neoplastic cells impact all aspects of treatment resistance. The operational mechanisms of these interactions are foundational for developing insights and targets for cancer therapy and prevention. Spatial quantification of the tumor microenvironment system from image data has untapped potential for patient stratification.

METHODS: Here, we present SparTile, a powerful computational approach for the analysis of multiplex proteomics images to reveal clinically relevant structural organization in the tumor microenvironment. SparTile enables robust and unbiased identification and characterization of tumor microenvironments based on spatial relationships among …

Global Spatiotemporal Multi-Criteria Analysis Of Coastal Risk: Current And Future Hot Spots And Clusters, Marco Bidoia, Carlo Giupponi

Fondazione Eni Enrico Mattei Working Papers

Coastal zones are among the environments most threatened by climate change. Although various efforts for global mapping and classification of coastal social and ecological systems have been undertaken, the ability to analyse and describe the spatial heterogeneity and multidimensionality of these phenomena remains limited. In the current study, we developed a methodological framework for assessing risk from extreme sea levels and examined its application at the global level. A multi-criteria analysis method was applied to the current scenario and to two future combinations of shared socioeconomic (SSP2 and 5) and representative concentration pathways (RCP4.5 and 8.5), accounting for risk attitudes. …

Clinical Outcomes Of Patients Hospitalized For Conventional Pacemaker Implantation With Protein-Energy Malnutrition, Phuuwadith Wattanachayakul, Pojsakorn Danpanichkul, Chalothorn Wannaphut, Hamza Tahir, John Malin, Thanathip Suenghataiphorn, Kanokphong Suparan, Aman Amanullah

Einstein Health Papers

INTRODUCTION: The impact of protein-energy malnutrition (PEM) on patients hospitalized for conventional pacemaker implantation remains poorly understood.

METHODS: We utilized the 2020 U.S. National Inpatient Sample (NIS) database to evaluate the impact of PEM on the in-hospital outcomes of patients who underwent conventional pacemaker implantation. Patients aged 18 and older were identified by ICD-10 CM and PCS codes. Multivariable survey logistic and linear regression analyses were employed to examine in-hospital outcomes, including in-patient mortality, system-based outcomes, and post-procedural complications.

RESULTS: A total of 108 020 patients were identified with 4315 (3.99%) diagnosed with PEM. The mean age of the cohort …

Prediction Of Outcome From Spatial Protein Profiling Of Triple-Negative Breast Cancers., Ali Foroughi Pour, Te-Chia Wu, Javad Noorbakhsh, Jan Martinek, Santhosh Sivajothi, Paul Robson, Karolina Palucka, Jeffrey Chuang

Faculty Research 2026

BACKGROUND: In tumors, reciprocal spatial interactions between immune cells, their mediators, the extracellular matrix, and mutated neoplastic cells impact all aspects of treatment resistance. The operational mechanisms of these interactions are foundational for developing insights and targets for cancer therapy and prevention. Spatial quantification of the tumor microenvironment system from image data has untapped potential for patient stratification.

METHODS: Here, we present SparTile, a powerful computational approach for the analysis of multiplex proteomics images to reveal clinically relevant structural organization in the tumor microenvironment. SparTile enables robust and unbiased identification and characterization of tumor microenvironments based on spatial relationships among …

The Perception Of Fentanyl’S Harm, Rachel Antenucci

ETDs from 2020-2029

While drug overdose deaths have generally decreased in the past year, close to 60,000 overdoses involving opioids occurred in 2024. The opioid crisis has lasted over two decades and is now in the fourth wave. The fourth wave has been characterized by overdoses resulting from fentanyl adulteration in the drug supply and polysubstance overdoses involving fentanyl. The purpose of the current study is to compare the perceived harm of fentanyl to other drugs of abuse and identify differences in the perceived harm of fentanyl between groups of people who use substances. An online survey was conducted across 15 states in …