Digital Commons Network^™

Increase Card Acceptance In Under-Penetrated Segments: Changing Customer Payment Behavior With Reinforcement Learning, Gen Ai Reasoning, And Card Community Analysis, Nagraj Naidu Mr, Shruti Gupta Ms

Defensive Publications Series

The present disclosure provides a method for behavioral prediction of a cardholder, performed by an artificial intelligence (AI) agent utilizing reinforcement learning in conjunction with a Markov Decision Process (MDP) framework. A Language Learning Model (LLM) acquires state and transition probabilities from an analytical processing unit. The LLM accesses historical interaction data and feedback records from a specialized vector database. The LLM analyzes and assimilates historical information retained within the vector database. The LLM implements cognitive algorithms predicated on defined contextual parameters with the aim of developing a personalized card usage strategy. The LLM orchestrates a sequence of interactive prompts.

The Minutes Of The Marshall University Board Of Governors Meeting, June 11, 2025, Marshall University Board Of Governors

Board of Governors Minutes

No abstract provided.

Virtual Assistant For Pest Management, Viswanada Chakravarthy Karri

Master’s Dissertations

Effective pest identification and management are essential for ensuring agricultural productivity, especially in regions with limited expert access. This work proposes a virtual assistant based on a Retrieval-Augmented Generation (RAG) [1] framework to support pest management tasks. The system utilizes a multimodal dataset consisting of pest images and annotated textual interactions, adapted from the AgriLLaVA corpus [2]. The assistant combines retrieval mechanisms with generative language models to generate contextually grounded responses. It is designed for deployment on local hardware with limited computational resources, integrating open-source models for both retrieval and generation. Preliminary results suggest that this approach can provide accurate, …

The Rise Of Faint, Red Active Galactic Nuclei At Z > 4: A Sample Of Little Red Dots In The Jwst Extragalactic Legacy Fields, Dale D. Kocevski, Steven L. Finkelstein, Guillermo Barro, Anthony J. Taylor, Antonello Calabrò, Brivael Laloux, Johannes Buchner, Jonathan R. Trump, Gene C.K. Leung, Guang Yang, Mark Dickinson, Pablo G. Pérez-González, Fabio Pacucci, Kohei Inayoshi, Rachel S. Somerville, Elizabeth J. Mcgrath, Hollis B. Akins, Micaela B. Bagley, Rebecca A.A. Bowler, Laura Bisigello, Adam Carnall

Pacific Faculty Work

We present a sample of 341 “little red dots” (LRDs) spanning the redshift range z ∼ 2-11 using data from the CEERS, PRIMER, JADES, UNCOVER, and NGDEEP surveys. Unlike past use of color indices to identify LRDs, we employ continuum slope fitting using shifting bandpasses to sample the same rest-frame emission blueward and redward of the Balmer break. This enables the detection of LRDs over a wider redshift range and with less contamination from galaxies with strong breaks that otherwise lack a rising red continuum. The redshift distribution of our sample increases at z < 8 and then undergoes a rapid decline at z ∼ 4.5, which may tie the emergence of these sources to the inside-out growth that galaxies experience during this epoch. We find that LRDs are ∼1 dex more numerous than X-ray- and UV-selected active galactic nuclei (AGN) at z ∼ 5-7. Within our sample, we have identified the first two X-ray-detected LRDs. An X-ray spectral analysis confirms that these AGN are moderately obscured with log ( N H / cm 2 ) of 23 . 3 − 1.3 + 0.4 and 22.7 2 − 0.16 + 0.13 . Our analysis reveals that reddened AGN emission dominates their rest-optical light, while the rest-UV originates from their host galaxies. We also present NIRSpec observations from the RUBIES survey of 17 LRDs that show broad emission lines consistent with AGN activity. The confirmed AGN fraction of our sample is 71% for sources with F444W < 26.5. In addition, we find three LRDs with blueshifted Balmer absorption features in their spectra, suggesting an outflow of high-density, low-ionization gas from near the central engine of these faint, red AGN.

Multi Trajectory Guided Model Inversion Attacks, Indrajit Nandi

Master’s Dissertations

Recent advancements in deep learning have brought significant concerns regarding the privacy of training data due to overfitting and memorization, as well as a lack of defense mechanisms. In model inversion attacks, where Attackers aim to reconstruct original private training samples (i.e images) just by using the DNN model’s last layer output. Traditional black-box MI attacks face three key challenges: (1) Non-convex optimization landscapes often trap reconstructions in poor local minima, degrading output quality. (2) Black-box scenarios require excessive queries to approximate gradients, raising detection risks. (3) Unconstrained pixel-space optimization generates unrealistic artifacts since the inverse mapping lacks natural image …

An Examination Of How Technological Universities Develop Cultural Capital Through Active Learning, Emma Carroll Dr, Orla Watson, Aisling M. Burke

Irish Journal of Academic Practice

Drawing on Bourdieu’s (1986) framework of embodied, objectified and institutionalised capital, this paper explores how technological universities (TUs) support the development of students’ cultural capital through active learning approaches. The formation of technological universities in Ireland marked a notable shift in the higher education landscape, with an emphasis on these institutions meeting the regional and economic needs of the location in which they operate. Currently, there is a dearth of studies pertaining to cultural capital and TUs. Consequently, there is an impetus for a conceptual study to help guide researchers towards understanding how active learning practices within Ireland’s TUs can …

Western Kentucky University Stormwater Utility Survey 2025, Warren Campbell

SEAS Faculty Publications

This survey provides data on 2147 U.S. and 82 Canadian stormwater utilities. The data is intended to provide useful data to communities that wish to enact stormwater utilities. Different fee systems are examined with the goal of avoiding legal exposure. Recently, the major source of pre-disaster mitigation funds was eliminated. States should consider state-wide stormwater utilities to make up for this loss.

2.5d Dual-Encoder U-Net For Lesion Segmentation In Chest Ct Scans, Jagannath Mukkara

Master’s Dissertations

Accurate segmentation of lesions in chest CT scans plays a vital role in diagnosing and monitoring pulmonary diseases such as COVID-19. In this, we introduce a novel 2.5D[1] dual-encoder U-Net model[2] that utilizes both the central slice and its neighboring slices to improve segmentation accuracy while keeping computational demands manageable. Our model incorporates residual connections[3] and feature fusion[4] to effectively merge multi-slice contextual information, overcoming the limitations found in traditional 2D and 3D methods. To ensure a reliable evaluation and avoid data leakage, we used patient-level data splitting. We validate our approach on a carefully curated chest CT dataset, showing …

Second Language Learning Among Pre-Primary School Children: A Bibliometric Analysis Of Global Research Trends, Fabiola Hassan, Reuben Sungwa

Journal of Humanities and Social Sciences

This bibliometric study investigates global research trends on phonological awareness in second language learning (SLL) among pre-primary school children from 2014 to 2023. The study utilizes data from the Dimensions database, and is guided by three objectives: analysing publication volume trends, identifying leading contributors (countries, institutions, authors, journals), and mapping dominant research themes. It employs the VOSviewer—a software tool for constructing and visualizing bibliometric networks—to conduct co-authorship, co-citation, and keyword co-occurrence analyses. The results show a steady increase in research output, peaking in 2021, reflecting a growing scholarly interest. The United States and United Kingdom dominated research contributions, with institutions—like …

Influence Of Tropical Cyclones, Southwest Monsoon, And Tropical Cyclone-Enhanced Southwest Monsoon On Rainfall Variability Over The Western Coast Of The Philippines, Alwin Bathan, Lyndon Mark Olaguera, Faye Abigail T. Cruz, Jose Ramon T. Villarin, Joel T. Maquiling, Maria Obiminda L. Cambaliza, John A. Manalo, Jun Matsumoto

SOSE Affiliate: Manila Observatory

This study investigates the processes driving interannual variability of rainfall over the western coast of the Philippines during the peak southwest monsoon (SWM) months (July–September) from 1961 to 2022. Specifically, it describes how tropical cyclones (TC), SWM, and TC-enhanced SWM influence SWM rainfall variability. Rainfall measurements from 11 stations along the western coast of the Philippines were classified into three types: direct TC rainfall (PD), indirect TC rainfall (PI), and SWM rainfall (PSM). The yearly contributions of PD, PI, and PSM to SWM rainfall were estimated to be 15.4 %, 33.1 %, and 51.5 %, respectively. Furthermore, four rainfall variability …

Pathways To Efficient And Equitable Solutions For Large-Scale Routing Problems, Abhay Sobhanan

USF Tampa Graduate Theses and Dissertations

This dissertation addresses large-scale optimization problems in transportation emerging from hierarchical decision-making, equitable workload allocation, and innovative routing logistics. It presents three sets of contributions, each detailed in a separate chapter, and offers computational tools and insights to advance both the theory and practice of transportation systems.

The first work introduces a deep learning-enhanced genetic algorithm framework for solving the Hierarchical Vehicle Routing Problems (HVRPs). Traditional optimization approaches to such problems require extensive evaluation of multiple lower-level routing solutions and are computationally intensive. Our innovative method integrates a genetic algorithm with a pretrained graph neural network, which is trained on …

The Critical Plastocapillary Number For A Newtonian Liquid Filament Embedded Into A Viscoplastic Fluid, Mohammad Tanver Hossain, Wonsik Eom, Arjun Shah, Andrew Lowe, Douglas Fudge, Sameh H. Tawfick, Randy Ewoldt

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

The yield stress of a viscoplastic material can stabilize an embedded fluid tunnel against capillarity-induced breakup, enabling remarkable technologies such as embedded 3D printing of intricate, freeform, and small components. However, there is persistent disagreement in the published literature between the observed minimum stable diameter, 𝑑min, and the theoretical plastocapillary length 𝑝𝑐 = 2𝛤∕𝜎𝑦, with interfacial tension 𝛤 and bath yield stress 𝜎𝑦, leading to a prior hypothesis that the apparent surface tension 𝛤 is much smaller to enforce 𝑑min = 𝑝𝑐 . Here we introduce and experimentally test a new hypothesis that the critical diameter is set by the …

Understanding Batch-Normalization In Deep Neural Networks, Pendyala Sai Srujan

Master’s Dissertations

Batch Normalization (BN) is a commonly used technique in various deep learning architectures for tasks such as image classification and object detection. It stabilizes and accelerates training by normalizing the activations of intermediate layers using mean and variance of the batch, allowing the use of higher learning rates and often improving generalization through implicit regularization. During inference, BN uses running estimates of batch statistics accumulated during training. However, if individual batches are not representative of the overall data distribution, these accumulated statistics may not accurately approximate the population statistics. This discrepancy can lead to a phenomenon known as **estimation shift**, …

A Study On Planar 2-Center Problem, Shince K. Baby

Master’s Dissertations

The Planar-k-Centre problem is an important problem in the class of Optimal Facility Location problems, where given n points in the planar, the objective is finding the smallest k congruent discs such that their union encompasses all points. This dissertation examines a variant of this problem in which the L1 metric is used to determine the distances rather than the standard Euclidean metric, which we call L1P2C and a closely related problem which we call Undirected k Square Coverage where there is no directional constraint for the k squares which contain the given set of points. We have found two …

The Ancillaries Of Undergraduate Economics Programs: Results Of A Departmental Survey, Gail M. Hoyt, Roisin O'Sullivan

Economics: Faculty Publications

Most economics departments have a cadre of ancillary elements intended to enhance the experience of their undergraduate majors. These may include opportunities to attend speaker series, give conference presentations, participate in student organizations, or work as teaching or research assistants. While economists have studied individual ancillaries, there is merit in a comprehensive examination. The authors design and conduct a departmental survey of 300 U.S. institutions to characterize ancillaries’ prevalence, structure, and perceived benefits. Their findings shed light on how the prevalence and structure of ancillaries vary across different types of academic institutions. Perceived benefits involve meeting departmental learning goals and …

Morphology Based Galaxy Classification, Ayan Mukherjee

Master’s Dissertations

Galaxy evolution is an area of vital importance in current research as it is believed to hold vital clues of the past as well as the future of the universe. The structure or morphology of a galaxy acts as an indicator of its stage of evolution and may also shed light on the course of its future evolution. The deployment of high-resolution telescopes like James Webb Telescope has made available large amount of high-resolution images, thereby, facilitating the deployment of high-performance Machine Learning and Deep Learning techniques. In the proposed work, two different methods have been assessed to achieve better …

Multi-Modal Large Language Model For Visual Question Answering On Medical Domain, Srimanta Singha

Master’s Dissertations

Artificial intelligence (AI) strategies such as Multimodal learning, which can integrate inputs of multiple modes, e.g., image and text, have shown significant promise in medical applications. In this dissertation, we present our related study of a Multimodal Large Language Model (MLLM) designed for Visual Question Answering (VQA) in the medical domain, based on both image and text input modalities to improve diagnostic reasoning and decision support. Our model processes medical images (e.g., chest Xrays, CT scans, and ultrasound images) along with clinical text to answer complex, domain-specific questions. We employ a cross-modal fusion mechanism to align visual features with textual …

Santa Clara Radio Astronomy Project (Scrap) Iv - Data Processing, Noah Abe, Wesley Durbano

Computer Science and Engineering Senior Theses

The Santa Clara Radio Astronomy Project (SCRAP) IV: Data Processing is the fourth year of a multi-year project that aims to provide SCU with a fully functioning radio telescope in a costefficient manner. The project aims to provide this radio telescope as a hands-on tool that can be used not just for scientific discovery, but also for SCU academic use in a wide variety of different subjects, such as electrical engineering and physics. This year, our SCRAP team aimed to bolster the long-term operation of the telescope, which is a key feature it must have for it to be considered …

Assessment Of Walkability Of University Campus And Communities: Associations With Perceived Safety & Student Retention, Wendy Bjerke

Exercise Science Faculty Publications

Introduction: Approximately 80% of Americans do not meet minimum guidelines for regular physical activity. Among ways to promote physical activity is to optimize the Built Environment to promote and increase access to walking and cycling. Walkable and accessible university campus environments and proximal communities can promote physical activity and are assessed and compared in this study. Purpose and Methods: Approximately 20 million students attend colleges and universities in the United States with over 100,000 students enrolled in the state of Connecticut. These students can potentially engage in physical activity within a campus or around the surrounding communities for university related …

The Impact Of Substrate Structure And Catalyst Identity On The Lewis-Acid Catalyzed Carbonyl-Olefin Metathesis Reaction, Cory William Schneider

Dissertations

The formation of carbon-carbon double bonds is one of the most important transformations in organic chemistry, as they are integral to the structural scaffold of many organic molecules. Thus, the development and understanding of reactions that form such bonds is crucial. Lewis-acid catalyzed carbonyl-olefin metathesis is one such reaction. Like many others, this reaction is sensitive to both the identity of the catalyst, as well as the structure of the substrate. In this dissertation, I present empirical and theoretical works investigating how the catalyst identity and the substrate direct the reactivity of the Lewis-acid catalyzed carbonyl-olefin metathesis reaction.

Automated Grain-Matrix Segmentation In Photomicrographs Of Clastic Sedimentary Rocks Using Neuro-Visual Algorithms, Rajdeep Das

Doctoral Theses

Sediments and sedimentary rocks, covering almost sixty-five percent of exposed earth’s surface, contain features that allow us to interpret ancient depositional environments, and their role in the evolution of life on earth. Study of sedimentary rocks is also relevant to exploration of geo-economic resources including petroleum, ore minerals, and groundwater as well as research in environmental geology, anthropological studies, and the bi-directional relation of man and environment. One of the important and crucial steps in this study of the detrital sedimentary rocks like sandstone, is to know the size and shape of the grains/clasts (fragments of different minerals or rocks), …

Higher-Order Exceptional Points In A Non-Reciprocal Waveguide Beam Splitter, Hamed Ghaemidizicheh, Shahram Dehdashti, Andreas Hanke, Ahmed Touhami, Janis Nötzel

Physics & Astronomy Faculty Publications

Non-Hermitian systems have attracted significant interest because of their intriguing properties, including exceptional points (EPs), where eigenvalues and the corresponding eigenstates coalesce. In particular, quantum systems with EPs exhibit an enhanced sensitivity to external perturbations, which increases with the order of the EP. Therefore, higher-order EPs hold significant potential for advanced sensing applications, but they are challenging to achieve due to stringent symmetry requirements. In this work, we study the dynamics of a generalized lossy waveguide beam splitter with asymmetric coupling by introducing non-reciprocity as a tunable parameter to achieve higher-order EPs even without dissipation. Moreover, we analyze the evolution …

Mapping Vascular Network Architecture In Primate Brain Using Ferumoxytol-Weighted Laminar Mri, Joonas A Autio, Ikko Kimura, Takayuki Ose, Yuki Matsumoto, Masahiro Ohno, Yuta Urushibata, Takuro Ikeda, Matthew F Glasser, David C Van Essen, Takuya Hayashi

2020-Current year OA Pubs

Mapping the vascular organization of the brain is of great importance across various domains of basic neuroimaging research, diagnostic radiology, and neurology. However, the intricate task of precisely mapping vasculature across brain regions and cortical layers presents formidable challenges, resulting in a limited understanding of neurometabolic factors influencing the brain's microvasculature. Addressing this gap, our study investigates whole-brain vascular volume using ferumoxytol-weighted laminar-resolution multi-echo gradient-echo imaging in macaque monkeys. We validate the results with published data for vascular densities and compare them with cytoarchitecture, neuron and synaptic densities. The ferumoxytol-induced change in transverse relaxation rate (ΔR

Draft Final 2025 Residential Metals Abatement Program (Rmap) Quality Assurance Project Plan (Qapp) Annual Update (Non-Residential Parcels And Residential Daycares), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Renovated Aperture Area Measurement Facility At The National Institute Of Standards And Technology (Nist), Ulf Griesmann

The Characterization and Radiometric Calibration for Remote Sensing Annual Meeting (CALCON)

Apertures with precisely known area are used in radiometry and photometry to define the optical phase space into which radiant flux is emitted or received. For example, solid angle, needed for the realization of the Candela, is realized with apertures of known area. Another common application is the measurement of irradiance, the radiant flux received at a surface per unit area (or its photometric analog illuminance), which requires an aperture with known area to be placed in front of an optical radiation sensor.

Beginning in the 1990s the National Institute of Standards and Technology (NIST) has developed improved methods for …

Relationship Between Governments Spending On Education Sector And Economic Growth In Tanzania, James Daniel Chindengwike

Future Journal of Social Science

Investment of education for every government are very critical to promote economic growth for both reached and emerging countries. The study aimed to assess the relationship between government spending on education and Tanzanian economic growth from 1990 to 2024. The study used a time series research design (longitudinal data) using a quantitative technique. The research employed documentary review to collect secondary data from 1990-2024 (34 Observations). The data were analysed inferentially and descriptively statistics. The study indicated that government spending in education had a positive and statistically significant impact on short-term economic growth but no relevant impact in the long …

Awareness And Change In Socrates Political Thought, Mohamed Talaat

Future Journal of Social Science

The research paper explores the importance of public political awareness in Socratic philosophy in relation to societal and political changes that can happen as a consequence. By seeing how Socrates emphasized moral integrity, critical thinking, and pursuit of knowledge in order to achieve virtue. The research tests the hypothesis that an increased level of awareness can lead to a societal and political transformation. The research tackles some questions, such as the steps needed for a political change, the tools to increase awareness, and the role of philosophers and great thinkers in guiding their societies to such a path. Through analyzing …

Intervention For Struggling Learners In K-5 Social Studies: Exploring A Tiered Model Of Support, Joshua M. Duggan

Teaching Social Studies in the Peach State

The K-5 social studies curriculum introduces students to foundational knowledge in civics, geography, economics, and history. Social studies is also a vehicle through which students: (a) synthesize content knowledge which in turn supports reading comprehension, (b) learn about community structures around them, and (c) build social-emotional skills through an in-depth understanding of the human condition. Yet, instructional time allocated to social studies has decreased over the past few decades, and scores on national social studies assessments indicate that most students do not attain proficiency in acquiring social studies knowledge. Furthermore, there is an absence of a robust system of intervention …

High-Resolution Temperature Profiling In The Pi Chamber: Variability Of Statistical Properties Of Temperature Fluctuations, Robert Grosz, Kamal Kant Chandrakar, Raymond A. Shaw, Jesse C. Anderson, Will Cantrell, Szymon P. Malinowski

Michigan Tech Research Data

This study delves into the small-scale temperature structure inside the turbulent convection Pi Chamber under three temperature differences (10, 15, and 20 K) at Rayleigh number Ra ~ 10^9 and Prandtl number Pr = 0.7. We performed high-frequency measurements (2 kHz) with the UltraFast Thermometer (UFT) at selected points along the vertical axis. The miniaturized design of the sensor with a resistive platinum-coated tungsten wire, 2.5 μm thick and 3 mm long, mounted on a miniature wire probe, allowed for vertically undisturbed temperature
profiling through the chamber’s depth spanning from 8 cm above the bottom to 5 cm below the …

Notes On The Invariance Of Tautness Under Lie Sphere Transformations, Thomas E. Cecil

Mathematics and Computer Science Department Faculty Scholarship

An embedding ϕ : V → Sⁿ of a compact, connected manifold V into the unit sphere Sⁿ ⊂ Rⁿ⁺¹ is said to be taut, if every nondegenerate spherical distance function d_p, p ∈ Sⁿ, is a perfect Morse function on V , i.e., it has the minimum number of critical points on V required by the Morse inequalities. In these notes, we give an exposition of the proof of the invariance of tautness under Lie sphere transformations due to ´Alvarez Paiva. First we extend the definition of tautness of submanifolds of S …