Digital Commons Network^™

Fraud And Focus: Examining Self-Control Strategies In Students Experiencing Impostor Phenomenon, Francesca Angela Catalano

Theses and Dissertations

Impostor phenomenon (IP) is a common experience among individuals in achievement contexts characterized largely by feelings of self-doubt, attributions of success that focus on external factors, and beliefs that one is “fooling” others about their competence. Current research suggests the effects of IP are complex (e.g., IP is associated with higher grade point average and productivity but also self-handicapping, psychological distress, and difficulties adjusting to college). To better understand these complex effects, this study proposes a self-control perspective for IP, where this phenomenon is seen as involving additional self-control burdens. Specifically, the study examines whether IP is associated with grade …

Multidisciplinary Inverse Robust Co-Design Of Materials, Products, And Manufacturing Processes, H M Dilshad Alam Digonta

Theses and Dissertations

Realizing the design for Integrated Computational Materials Engineering (ICME) requires the materials, product, and manufacturing-process disciplines to be designed together. Because these disciplines interact and influence one another's decisions, coordination is needed among their distributed decision-makers. Their interactions are captured through the processing-structure-property-performance (PSPP) linkages, which must be established from limited, costly data. Moreover, each discipline introduces its own sources of uncertainty, and these propagate through the process chain to influence final product performance. The effective realization of the product-material-manufacturing system, therefore, calls for a co-design approach that enables the concurrent coordination of the interacting disciplines while quantifying and managing …

Optimizing Escort Strategies For Chokepoint And Littoral Maritime Lanes Using Mixed-Integer Programming, Shantonu Mitra

Graduate Theses and Dissertations

Protecting high-value units (HVUs) while traversing maritime chokepoints under threats is a significant challenge that requires effective planning for allocating limited naval assets (escort ships, detection capabilities, and defensive capabilities). Although the weapon-to-target assignment problem has been previously studied in the literature, the problem of allocating limited naval assets under uncertain threat scenarios remains unexplored. This research develops a two-stage stochastic optimization framework with the objective of maximizing the expected weighted survivability of HVUs across all scenarios. The first-stage decisions include assigning available escorts to HVUs, selecting locations for deploying detection capabilities, and allocating defensive capabilities to each escort prior …

[5,5]-Fused Anhydride, Thioanhydride, And Imide Derivatives Of Cyclopentadienyl Complexes, Uttam R. Pokharel, Sean Parkin, John P. Selegue

Chemistry Faculty Publications

A new approach to 5,5-fused heterocyclic derivatives of cyclopentadienylmanganese tricarbonyl and pentamethylruthenocene is presented. 1,2-Dicarbophenoxycyclopentadienyl complexes of manganese and ruthenium were hydrolyzed to 1,2-dicarboxylic acids. Oxalyl chloride converted the acids to chlorocarbonyls, which reacted with bis(trimethylsilyl)sulfide to give the cyclopentadienyl-fused thioanhydrides. Alternatively, dehydration of the diacids with trifluoroacetic anhydride closed the diacids to cyclopentadienyl-fused anhydrides. Treatment of the anhydrides with p-toluidine followed by oxalyl chloride led to cyclopentadienyl-fused carboxylic imides. This approach enables direct comparison of electron-deficient Mn(CO)₃ and electron-rich Ru(Cp*) coordination environments on the 5,5-fused heterocycles. Spectroscopic data reveal systematic downfield NMR shifts and higher infrared carbonyl stretching …

Building A Toolkit Of Writing-Based Learning Activities For Finance Classes, Esther Afoley Laryea

GHEA21 Publications

No abstract provided.

Preliminary Findings From Intermountain West County Emergency Manager Survey, Bailey Holdaway, Courtney Flint, Gina Gilson, Richard Rushforth

Environment and Society Student Research

In the Intermountain West, water resources and weather conditions are increasingly plagued by uncertainty. Population growth throughout the region may further intensify many of these water-related hazards. County emergency managers are responsible for managing hazards and coordinating interactions among entities at various management levels. They are important entities in efforts to safely and effectively manage water-related hazards in the region.

Thermal Transport Tuning Via Nanoscale Hierarchical Frameworks For Fe2val Thermoelectric Materials, Apoorva Pradip Joshi

Dartmouth College Master’s Theses

Waste heat represents a vast, untapped energy resource. Thermoelectric materials offer a promising route to harvest this energy by directly converting thermal gradients into electricity. The Heusler alloy Fe2VAl is a prime candidate for such applications because it is non-toxic and cost-effective. However, its intrinsically-high thermal conductivity severely limits performance. A detailed understanding of thermal transport mechanisms is therefore essential for improving its thermoelectric efficiency. This work examines the effect of atomic disorder on the thermal transport behaviour of Fe2VAl. We use germanium doping to introduce atomic-scale disorder and demonstrate a substantial reduction in thermal conductivity, from 28 W/m-K in …

Pharmed. System Manual: Hololens Application, Eden Woldeselassie

Systems Manuals - 2026

This document provides the full life cycle of PharmEd HoloLens. PharmEd stands for Pharmacy Education. The overall document will go through the complete system manual by going over requirements, followed by design, how to install the application, how to upload the application to Microsoft store, troubleshooting and source code. The first section will explain the background, the existing problems and why the need to develop PharmEd.  Here techniques of requirement gathering and some statistics will elaborated. The following section discusses about functional requirements. The requirement section includes subtopics: functional and nonfunctional requirements for both -programmer and end user- and the …

Robot Remote Control Utility, Jeremy Cantu, Paul Uhlig

Systems Manuals - 2026

The purpose of this document is to describe the Robot Control Management Utility developed in the course of this graduate project. Information included in this document will include the background of the developed product, as well as the functional requirements, data structures, software modules, interface design, installation guide, and sample and troubleshooting guides.

E Classroom+, Ami B. Jariwala

Systems Manuals - 2026

A software platform that enhances many processes correlated with learning is called a learning management system (LMS). It is also known as a management software package that enables the delivery of learning content, resources and activities and also that handles the correlated administration operations. In classrooms, today, teachers, are being commenced with convenience to remodel learning from a traditional transmission model to a student-centered model where students are mostly responsible for their learning. The research conveys that in order to remodel learning, schools require to support a student-centered approach where students can be supported in finding, analyzing, organizing, evaluating, internalizing, …

Kta System Manual, Cayden Garcia

Systems Manuals - 2026

The purpose of this document is to explain the ins and outs of KTA. This includes but not limited to:

- The problem that colleges face when it comes to data analysis and collection

- The history of data analytics at a collegiate level

- Software and hardware requirements for KTA – Developer and User

- The overall design of KTA, how the software is structured and how the stack interacts with one another

- How to install KTA on your machine

- Sample Sessions – including issues that the user may run into and how to fix them

Smart Atm, Majid Hakeem

Systems Manuals - 2026

The Smart ATM is a new system that goal is to create a new experience for ATMs users by creating a different way of using the ATM. It would protect users from germs and bacteria. Instead of using buttons and touch screens, the main input for this system will be the motion sensor. To specify, the system uses Microsoft Kinect, which is the motion sensor for the Xbox One.

This document is a user guide, which is intended to give assistance to users for using the Smart ATM. This document contains an application overview, list of user requirements, the design …

Idioma Tutor, Oralia Mijares

Systems Manuals - 2026

The Idioma Tutor was developed specifically for individuals who desire to learn English through a non-traditional approach, eLearning. Idioma Tutor is an interactive game designed to strengthen individual’s English language adaptation, using an individual-learner approach. The game uses immediate feedback to provide self-analysis for learners. It captivates users and applies best-practices in eLearning and game development to retain and fully engage learners. This system manual outlines provides detailed information for using the Idioma Tutor. This system will be used as a catalyst to support the success of individuals who desire to learn the English language in a fun and interactive …

Solving Rubik's Cube By Using Artificial Intelligence, Polat Coban, Seth Reed

Systems Manuals - 2026

This document will detail a proposal to build a Rubik’s cube simulator, and a Rubik’s cube solver. It is broken into several sections which in turn are broken into subsections.

Estimasi Underground Economy Triwulanan Di Indonesia Pada Tahun 2010–2023, Ghina Anandhia, Hardius Usman

Jurnal Ekonomi dan Pembangunan Indonesia

Underground economics have a significant impact on economy. Underground economy leads to low potential state revenues from the tax sector. This study estimates the quarterly value of the underground economy in Indonesia from 2010 to 2023 using the Error Correction Model (ECM) method. The results show that the average value of the underground economy in Indonesia is IDR138,392.32 billion, equivalent to 5.36 percent of Gross Domestic Product (GDP) and 35.72 percent of tax revenue from 2010 to 2023. GDP and tax burden variables have a positive influence on currency demand.

The Razorback Educator, Carole Shook Dr., Lynn Meade, Sheri Deaton, Faith Lessner, Karl Schubert, Gretchen Scroggins, Rachel Glade, Treisha Peterson, Flint Harris, Tamara Snyder, Kim Mccomas, Kim Mccomas, Auston Jones, Eric Button

The Teaching Academy Publications

The Razorback Educator is a joint publication of the University of Arkansas Teaching Academy and the Wally Cordes Teaching and Faculty Support Center.  It is designed to share teaching innovations related to the Scholarship of Teaching and Learning.  Faculty from multiple disciplines author the publication.

Math 119: Math For Elementary School Teachers Instructor Guide, Seth Lehman

Open Educational Resources

OER instructor guide for Math 119: Math for Elementary School Teachers at Queens College

How Do Different Food Influents Affect Biogas Production, Process And Operational Stability, And System Performance In The Armfield W8, A Bench-Scale Anaerobic Digester, Jarko Rumbaoa, Anahita Adhikari

Rose-Hulman Undergraduate Research Publications

No abstract provided.

Center Of Mass (Com) Shift In Electric Vertical Takeoff And Landing (Evtol) Aircraft, Irene Lema Madueno

Rose-Hulman Undergraduate Research Publications

No abstract provided.

Sustainable Extraction Of A New Diketopiperazine, Anthony Chapman

Rose-Hulman Undergraduate Research Publications

No abstract provided.

Native Plants For Green Roofs In Indiana, Alasdair Curts

Rose-Hulman Undergraduate Research Publications

No abstract provided.

Automated Machine Learning And Satellite Image Data Fusion For Monitoring Water Quality In Mosaicked Landscapes, Sahar Rezaei

Graduate Theses and Dissertations

Despite the ecological, economic, and social importance of inland water bodies, they are increasingly impacted by human and natural drivers. Harmful algal blooms (HABs) and total suspended solids (TSS) are key indicators of water quality, and elevated concentrations pose significant ecological and public health risks. The spatiotemporal dynamics of these variables remain insufficiently understood in major river systems, including the Upper Mississippi River (UMR) and the Illinois River Basin (IRB). While in situ measurements provide accurate observations, they are costly and offer limited spatial and temporal coverage, restricting basin-scale monitoring. Remote sensing offers a powerful alternative; however, single-sensor approaches are …

A System Dynamics Model For Analyzing Customer Satisfaction Drivers In A Manufacturing Context, Mahnaz Asgari Sooran, Venkat Allada, Adewole Adegbola

Engineering Management and Systems Engineering Faculty Research & Creative Works

Customer satisfaction offers economic benefits and competitive advantage to manufacturing enterprises. However, a gap exists in understanding how to achieve customer satisfaction due to the complexities involved in coordinating various subsystems of an enterprise in an efficient manner. In this paper, we identified four internal and external-to-the-firm customer satisfaction drivers which include: government policies, supply chain reliability, knowledge management, and manufacturing performance criteria such as on-time delivery, quality and cost. We then developed a conceptual framework to define the non-linear mathematical relationships between drivers using system dynamics modeling. We conducted "what-if "scenario analyses for a base case, optimistic case and …

Existence And Uniqueness Of Positive Solutions For Hilfer–Hadamard-Type Fractional Differential Equations With Γ-Concave And Sub-Homogeneous Operators, Hasan Rasouli, Hojjat Afshari, Martin Bohner

Mathematics and Statistics Faculty Research & Creative Works

In this research, we present necessary and sufficient conditions for the existence and uniqueness of positive solutions for a class of Hilfer–Hadamard-type fractional differential equations with boundary value problems, including those with integral boundary conditions. The obtained results are conditional on a specific set of strong assumptions, which substantially narrow the class of admissible nonlinearities, coefficients, and boundary data. Thus, the present work extends the Hadamard-type framework to the Hilfer–Hadamard setting only within this restrictive regime, rather than providing a full extension to all Hilfer–Hadamard systems. We utilize the properties of (Formula presented.) -concave and sub-homogeneous operators along with two …

2026 July - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Reports

Hi All,

Heavy rains, flooding, and a few heat waves defined the month of July across Tennessee. The rainfall continued to improve drought conditions across the state but flooding impacted many areas, including parts of East Tennessee on July 12th with Cocke County reporting six landslides and infrastructure damage in many locations. A strong heatwave impacted the state during the first week of July and another heatwave impacted western TN in late July.

Mean temperatures for July 2026 were above the NOAA 1991-2020 climate normals for the month across Tennessee, with most areas of West and Middle Tennessee averaging 1-2°F …

2026 July - Tennessee Climate Snapshot, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Reports

No abstract provided.

Information-Aware Autonomy Through State Estimation, Control, And Observability, Andres Enriquez Fernandez

Open Access Theses & Dissertations

State estimation is fundamental to autonomous systems operating in uncertain environments, where navigation, coordination, and decision-making depend on accurately inferring internal system states from incomplete and noisy observations. While classical estimation theory primarily focuses on reconstructing hidden states from available measurements, practical autonomous systems must also contend with sensing interruptions, communication constraints, limited computational resources, and nonlinear system dynamics that reduce the availability and usability of estimation-relevant information. This dissertation adopts an information-centric perspective on state estimation by introducing the concept of an Information Lifecycle, in which information is generated through system behavior, utilized by estimation algorithms under operational constraints, …

2026 Final Insufficiently Reclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Univariate And Bivariate Binary Spatial Regression Models With Application To Plant Abundance Data, Amir Hamza Akash

Graduate Theses and Dissertations

Analyzing species distributions is of prime interest in ecological research. Prevalence of a species usually depends on several environmental and topographic features not all of which can be quantified or measured. Spatial random effects play an important role as a surrogate for missing features that can explain similarity in species prevalence patterns between neighboring locations. In this thesis, we focus on a dataset on abundance of plants in the southern part of South Africa. First, we build a hierarchical Bayesian model for binary regression, using the probit link, on presence/ absence of a species based on available covariates. Since the …

Physics-Informed Machine Learning For Predictive Digital Twins In Greenhouses, Hoang Kim Tran

Graduate Theses and Dissertations

Greenhouses are widely used to create controlled environments for crop production, where indoor climate variables such as air temperature, relative humidity, CO2 concentration, radiation, and soil or substrate conditions directly affect plant growth, yield, energy consumption, and resource use. However, greenhouse climates are highly dynamic because they are influenced by complex interactions among outdoor weather, greenhouse structure, crop transpiration, heating systems, ventilation, screens, fans, irrigation, and other actuators. Building digital twins for greenhouses provides a powerful way to represent, monitor, and predict these climate dynamics. A predictive digital twin can simulate future indoor climate states based on current greenhouse conditions, …