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Models Of Funding Research And Development Infrastructure In Poland, Marcin Kardas 2025 Wydział Zarządzania, Uniwersytet Warszawski, Polska

Models Of Funding Research And Development Infrastructure In Poland, Marcin Kardas

Studia i Materiały Wydział Zarządzania Uniwersytet Warszawski

Purpose: The aim of this article is to identify and analyse the basic models of funding research and development infrastructure, as well as the challenges associated with them.

Methodology: The research methods used include interdisciplinary literature studies (economics, law, management), regulations and reports, as well as interviews with stakeholders.

Results: Four models for financing R&D infrastructures embedded in the state aid regime were identified: scientific, mixed, experimental, and economic. National experiences with their application were discussed. Their characteristics, challenges, and risks were presented. Discrepancies in terminology were noted, and directions for their interpretation were suggested.

Research limitations/implications …


Forecasting Aviation Carbon Emissions With Tree-Based Machine Learning: A Case Study Of Turkish Airlines Operational Data, Demet Dağlı PhD, Ednan Ayvaz PhD 2025 Isparta University of Applied Sciences

Forecasting Aviation Carbon Emissions With Tree-Based Machine Learning: A Case Study Of Turkish Airlines Operational Data, Demet Dağlı Phd, Ednan Ayvaz Phd

International Journal of Aviation, Aeronautics, and Aerospace

The global aviation industry plays a critical role in economic development and international connectivity. However, it also contributes significantly to environmental challenges, particularly through fuel consumption and carbon emissions. The aviation sector is responsible for approximately 1–2% of global CO₂ emissions, and its environmental impact is expected to increase substantially by 2050. This study proposes a machine learning (ML)-based decision support framework to forecast carbon emissions in the airline sector. Using Turkish Airlines’ quarterly operational data from 2008 to 2023, Decision Trees, Random Forest, XGBoost, and Extra Trees models were applied to predict carbon emissions. Key variables include revenue passenger …


Warehouse Reconfiguration With Ats Lab, Ed Cantor, Dana Pazhouhesh, Mathew Oshinski, Samantha Sanchez 2025 Kennesaw State University

Warehouse Reconfiguration With Ats Lab, Ed Cantor, Dana Pazhouhesh, Mathew Oshinski, Samantha Sanchez

Senior Design Project For Engineers

The ATS Lab Warehouse Reconfiguration project is a collaborative effort between Kennesaw State University’s Department of Industrial and Systems Engineering and ATS Lab, located in Marietta, GA. The goal of this project is to redesign the current warehouse layout to enhance operational efficiency, reduce travel time, and implement sustainable inventory management practices, including 5S and Kanban. Aaron Roob, ATS Operations Manager, and Franklin Hungerford, Continuous Improvement Manager, led this initiative. Our team, “Sick Sigma’s,” is composed of Ed Cantor, our Project Manager, who is working as an intern at ATS during this process; Dana Pazhouhesh (Process Engineer); Matthew Oshinski (Quality …


Modeling Private Debt Using U.S. Consumer Expenditure Data, Stsiapan Dziamentsyeu 2025 Northern Illinois University

Modeling Private Debt Using U.S. Consumer Expenditure Data, Stsiapan Dziamentsyeu

Honors Capstones

This project models private household debt among U.S. consumers using data from the Consumer Expenditure Survey (CES) between 2013 and 2023. The analysis focuses on identifying how demographic and economic characteristics, such as income, housing expenditures, education, and occupation, relate to non-mortgage “other” loan balances. After initial model development produced poor residual behavior due to zero-inflation from imputed debt values, the analysis was refined to include only households reporting verifiable debt. Multiple modeling techniques, including AIC-based variable selection and Lasso regularization, were compared under a five-fold cross-validation framework. The Lasso model achieved superior predictive accuracy (RMSE = 1.55, MAE = …


An Assessment And Comparison Of Expert System Performance And Large Language Model Performance, Carter A. Lange 2025 Arkansas Tech University

An Assessment And Comparison Of Expert System Performance And Large Language Model Performance, Carter A. Lange

ATU Honors Projects

This study compares the performance of knowledge-based expert systems (KBES) and large language models (LLMs) in narrow-domain tasks. Using Akinator as the representative KBES and ChatGPT as the representative LLM, fifty character-identification trials were conducted. Results show that both systems ultimately succeeded in identifying all characters, but their efficiency and accuracy differ. Akinator required fewer incorrect guesses and produced no identifiable total failures, or “errors,” while ChatGPT occasionally erred beyond possible continuation despite similar average guess counts. Statistical analysis revealed no significant difference in the number of questions required before success, but McNemar’s test indicated that ChatGPT made significantly more …


The Impact Of Parking Services On Mental Health At Bowling Green State University, Callie Oyster 2025 Bowling Green State University

The Impact Of Parking Services On Mental Health At Bowling Green State University, Callie Oyster

Honors Projects

The current research investigates the effects of parking on daily stress and emotional stability and perceptions of equity at Bowling Green State University (BGSU). It draws from the perspective of students, faculty, and staff via a quantitative survey of over 500 respondents that assessed parking behaviors, mental health indicators, and institutional trust. The results indicate that unpredictability, rather than simply lack of space, is the largest source of stress related to parking. Commuter and resident students reported arriving at least 20-30 minutes earlier than expected. Faculty, staff, and students reported feelings of anticipatory anxiety about driving to BGSU, with emotional …


The Artificial Intelligence (Ai) Economy In The Mountain West, 2025, Dre Boyd-Weatherly, Sean Curry, Krish Sharma, Kristian Thymianos, William E. Brown Jr. 2025 University of Nevada, Las Vegas

The Artificial Intelligence (Ai) Economy In The Mountain West, 2025, Dre Boyd-Weatherly, Sean Curry, Krish Sharma, Kristian Thymianos, William E. Brown Jr.

Economic Development & Workforce

This fact sheet reports on the artificial intelligence (AI) readiness of five Mountain West metropolitan statistical areas (MSAs): Phoenix-Mesa-Chandler, AZ; Salt Lake City-Murray, UT; Denver-Aurora-Centennial, CO; Las Vegas-Henderson-North Las Vegas, NV; and Albuquerque, NM. Using data from the Brookings Institution's “Mapping the AI Economy” report, the MSAs are benchmarked based on their overall population, employment, talent, adoption, and innovation.


Beyond Compliance: Rethinking Ethical Accounting Through Ai And Esg, Rafael L. Portillo 2025 St. Mary's University

Beyond Compliance: Rethinking Ethical Accounting Through Ai And Esg, Rafael L. Portillo

Honors Program Theses and Research Projects

With the increasing adoption of these modern technologies in world markets while maintaining these ethical principles, there is an increasing need for alignment between technology development and ethical responsibility. For instance, in the world of accounting, there is an increasing demand to maintain alignment between technology development and ethics. It is for this reason that these researchers have chosen to explore the link between Artificial Intelligence, ESG, and financial reporting ethics.

The goal of this study is to look at new concerns and moral risks that appear when ESG expectations, AI systems, and accounting practices interact. Earlier research usually studies …


Integrating Data Analytics: Exploring The Best Methods To Evaluate Players’ Performance To Help Gain A Competitive Advantage On The Football Field, Tanner F. Fountain 2025 University of Arkansas, Fayetteville

Integrating Data Analytics: Exploring The Best Methods To Evaluate Players’ Performance To Help Gain A Competitive Advantage On The Football Field, Tanner F. Fountain

Finance Undergraduate Honors Theses

To succeed in the world of sports, leaders need to uncover and utilize any advantage possible in order to gain a competitive advantage over their competition. I discuss how leaders of a sports organization, specifically within the Arkansas Razorback football program, implement the use of analytics on and off the field, as well as how they use their data to create visuals, find potential strengths and weakness, and ultimately help them be more prepared for gameday. Using my personal experience as a Student Analyst for the Razorbacks, along with supplementary information, I share the latest tactics and the strategies for …


The Impact Of The Covid-19 Pandemic On National Hockey League Fan Attendance, Ramon E. Rivera 2025 California State University - San Bernardino

The Impact Of The Covid-19 Pandemic On National Hockey League Fan Attendance, Ramon E. Rivera

Electronic Theses, Projects, and Dissertations

The COVID-19 pandemic struck swiftly around the world, causing several societal functions and normalcies to adapt or shut down completely. This culminating project explores the effects of COVID-19 on arena fan attendance of the National Hockey League (NHL). This project was guided by the following three research questions: Q1 – How did the NHL arena closures affect fan attendance during the COVID-19 pandemic? Q2 – What factors influenced NHL fan arena attendance before the start of the COVID-19 pandemic? Q3 – What factors impacted the NHL arena fan attendance after the conclusion of the COVID-19 pandemic? An empirical model developed …


Feedback Strategies In The Market With Uncertainties, Mustapha Nyenye Issah 2025 University of South Alabama

Feedback Strategies In The Market With Uncertainties, Mustapha Nyenye Issah

Graduate Theses and Dissertations (2019 - present)

This paper explores how established firms use strategic advertising to deter new competitors in uncertain markets. Specifically, it models a situation where market demand evolves unpredictably - captured by the CKLS stochastic process, and the incumbent firm may be either strong or weak, a fact hidden from potential entrants. For a company already in the market, advertising is not just about driving immediate sales, it is a strategic tool to project an image of strength and deter potential new competitors. On the other side, a business thinking about entering that market faces a high-stakes, irreversible decision. It will typically hold …


Fragmentation In The U. S. Fed Cattle Market: Implications For Price Transparency And Discovery, TaraLee M. Hudson 2025 University of Nebraska-Lincoln

Fragmentation In The U. S. Fed Cattle Market: Implications For Price Transparency And Discovery, Taralee M. Hudson

Department of Agricultural Economics: Dissertations, Theses, and Student Research

The U.S. fed cattle market is one plagued by recurring stakeholder concern. Market participants frequently raise questions about the transparency of fundamental information under existing reporting frameworks, and the extent to which Private Negotiation, the dominant trading institution, effectively facilitates price discovery. Although extensive research has sought to address these issues, much of it has failed to account for the market’s increasingly fragmented structure. This thesis is comprised of three chapters that collectively examine price transparency and discovery through the lens of market fragmentation. Each chapter presents research related to the fed cattle market and is intended to stand …


Is Complexity Virtuous?, Ryan Elmore, Jack Strauss 2025 University of Denver

Is Complexity Virtuous?, Ryan Elmore, Jack Strauss

Business Information and Analytics: Faculty Scholarship

(Kelly et al., 2024) show that increasing complexity in linear models, with potentially thousands of predictors, is "virtuous". Their work contradicts the dogma of model selection, including the Principles of Parsimony and Occam's Razor. They find that when the number of predictors far exceeds the number of observations, the bias-variance trade-off breaks down, the variance declines, and the Sharpe ratio increases. In the context of ridge regression, we find that very high complexity coupled with large penalty terms (excessive shrinkage) generate forecasts that converge to a rolling window of past returns. For example, we show the past twelve-month moving average …


Do Growth Partnerships Improve Early-Stage Startup Performance? An Investigation Into Revenue Growth, Operational Efficiency, And Investor Attraction, Brendan P. Drew 2025 Arcadia University

Do Growth Partnerships Improve Early-Stage Startup Performance? An Investigation Into Revenue Growth, Operational Efficiency, And Investor Attraction, Brendan P. Drew

Faculty Curated Undergraduate Works

This research investigates how teaming up with seasoned advisors affects young startups’ success, judged by sales gains, smoother operations, or drawing in backers. New companies tend to spark innovative ideas and hiring, but a sizable chunk fails before standing on their own. Weak planning, tight funds, or struggling to impress investors usually spell trouble early on. While programs like startup boosters got loads of attention in past reports, deeper ongoing alliances - where founders partner firsthand with outside mentors, are still barely touched upon in scholarly work.

The study uses both numbers and personal views, pulling data from eight new …


Cv: Apostolos Xanthopoulos (Business Analytics), Apostolos Xanthopoulos 2025 Lewis University

Cv: Apostolos Xanthopoulos (Business Analytics), Apostolos Xanthopoulos

Accounting, Business Analytics, Economics, and Finance Department Faculty Curricula Vitae

No abstract provided.


Keurig Dr Pepper Strategic Audit, Huy Le, Ethan Zen, Sierra Perkins, Jack Hudson 2025 University of Nebraska-Lincoln

Keurig Dr Pepper Strategic Audit, Huy Le, Ethan Zen, Sierra Perkins, Jack Hudson

Honors Program: Senior Projects (Public)

We analyze Keurig Dr Pepper's current strategic position following its acquisition of JDE Peat's. We determine its strengths, weaknesses, opportunities, and threats within its market share and make recommendations for future business ventures and strategic positioning.


Investigating The Relationship Between Noun Classes And Plant Folk Taxonomy In Chasu Language Of Kilimanjaro Region In Tanzania, Peter Rabson Mziray 2025 Sokoine University of Agriculture

Investigating The Relationship Between Noun Classes And Plant Folk Taxonomy In Chasu Language Of Kilimanjaro Region In Tanzania, Peter Rabson Mziray

Journal of Humanities and Social Sciences

The current study investigates the relationship between noun classes and plant folk taxonomy in Chasu (G 22). The study focuses on two objectives: the first objective is to describe the plant folk taxonomy in Chasu and the second objective is to determine the relationship between noun classes and plant folk taxonomy in Chasu. Data were collected from rural villages in Same and Mwanga districts by using free listing, field interviews (jungle-walk-and-identify), and written texts containing Chasu plant names. The findings reveal that Chasu folk taxonomy reflects different ethnobotanical categories; including a unique beginner which is mmea/mimea ‘plant(s)’, and three life …


Localized Nuclear Utility For Erau Environmental Improvement, Timothy Schroeder, Jacob Blanton, Christopher Anderson 2025 Embry-Riddle Aeronautical University

Localized Nuclear Utility For Erau Environmental Improvement, Timothy Schroeder, Jacob Blanton, Christopher Anderson

Sustainability Conference

The reliance of Embry Riddle Aeronautical University (ERAU) on energy supplied by Florida Power & Light (FPL), which currently draws large amounts of power from fossil fuel sources, is continuously suboptimal both environmentally and financially. This study proposes assessing the feasibility of deploying a campus scale nuclear reactor tailored to ERAU’s power consumption profile. This serves as a path toward reducing greenhouse gas emissions and limiting dependence on external fossil fuel generation. The methods used are primarily literature review(s), and numerical analysis on comparable use cases. The literature reviews focused on design theory and yield of nuclear reactors on a …


Utilizing A Virtual Firewall Appliance For Introducing And Reinforcing The Concepts And Implementation Of Devices To Improve Security In A Computing Environment, Stanley Mierzwa, Christopher Eng 2025 Kean University

Utilizing A Virtual Firewall Appliance For Introducing And Reinforcing The Concepts And Implementation Of Devices To Improve Security In A Computing Environment, Stanley Mierzwa, Christopher Eng

Center for Cybersecurity

The educational realm of higher education cybersecurity curriculum continues to evolve to provide more opportunities for experiential hands-on and work role-related practical applications of technology solutions. Gaining greater competencies is quickly becoming a normal requirement for such programs that are designated by the National Security Agency Center of Academic Excellence programs. The work roles of cybersecurity include a variety of knowledge, skills, and abilities, depending on the category of the activity or task. Firewalls have been a staple cybersecurity, network security, and information security device and strategy to protect organization networks and computing environments. This paper will provide details and …


Pause For Thought – Exploring Ai Error In The Assessment Of Industrial Sustainability Reports, Jake Mooney, Colm Tormey, Cillian Gleeson, Shane Hoban, Dylan Kirby, Christine Nangle 2025 Technological University Dublin, University College Dublin Michael Smurfit Business Graduate School

Pause For Thought – Exploring Ai Error In The Assessment Of Industrial Sustainability Reports, Jake Mooney, Colm Tormey, Cillian Gleeson, Shane Hoban, Dylan Kirby, Christine Nangle

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.


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