Digital Commons Network^™

Many-Objective Optimisation Of Offshore Wind Farms, Pawel L. Manikowski, Matthew J. Craven, David J. Walker

School of Engineering, Computing and Mathematics

The design of offshore wind farms is computationally challenging, requiring the simultaneous optimisation of many conflicting objectives. Solving this problem is of paramount importance if society is to meet ambitious net zero goals. The problem is solved by identifying an optimal arrangement of individual turbines such that all objectives are optimised. However, a single solution does not exist due to the inherent conflict between objectives, and a set of solutions must be identified. As well as the challenge in generating optimal solution sets, there exists a decision support task if the solutions are to be effectively presented to a decision …

2025 Final Butte Reduction Works (Brw) Smelter Area Mine Waste Remediation And Contaminated Groundwater Hydraulic Control Site Quality Assurance Project Plan (Qapp) For Microbial Analysis And Biotreatability Study, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

2025 Final Butte Reduction Works (Brw) Smelter Area Mine Waste Remediation And Contaminated Groundwater Hydraulic Control Site Quality Assurance Project Plan (Qapp) For Microbial Analysis And Biotreatability Study, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Final Blacktail Creek Groundwater Hydraulic Control System Pre-Design Investigation Evaluation Report, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

China’S Readiness For Transitioning To A Low-Carbon Economy: Mitigant And Catalyst Factors For A Geopolitical Conflict, Yan Chen, Jiayi Lyu, Jaime Ortiz, Wenbin Song

International Business and Entrepreneurship Faculty Publications

The transition from a carbon-intensive economy to a carbon-neutral one has become a critical global objective to address climate change. This study examines the relationship between Low-Carbon Economic Development (LCED) and Geopolitical Risk (GPR) in China by focusing on the challenges and opportunities they present. We use a qualitative analysis to identify that rising GPR, exacerbated by market instability, resource allocation conflicts, and trade disputes, significantly hinders LCED progress. However, these geopolitical tensions also act as a catalyst for accelerating the development of renewable energy, reducing reliance on traditional energy sources, and fostering low-carbon technologies. Furthermore, LCED can ameliorate GPR …

Cover And Content

Turkish Journal of Physics

No abstract provided.

Still More On Wahlquist Metric, Mahmut Hortaçsu

Turkish Journal of Physics

We start by reviewing the status of the Wahlquist metric and give references to the relevant literature. Then, in studying the scattering properties of a scalar particle at the center coming from infinity, we give three methods to obtain finite scattering coefficients.

Seeing The Light: Optics Research At Bethel, Nathan Lindquist

Day of Scholarship

The department of Physics and Engineering has a strong tradition of research, projects, coursework, and labs in optics. Optical sciences is a broad and interdisciplinary field that covers imaging, fiber optic communications, lasers, and sensing, with applications in biology, chemistry, medicine, engineering, and many more. This presents some of the research that has happened over the past few years, including research presented by students at national conferences.

Investigation Of Methane Content And Sorption Properties Of Lignite Deposits, Marcin Karbownik

Journal of Sustainable Mining

Methane is one of the main greenhouse gases (GHG) affecting climate change, and proper quantification of the amount of its emissions to the atmosphere is crucial. The basic parameter for determining the potential amounts of naturally occurring methane in coal for both hard coal and lignite is the methane content. Determination of the methane content of lignite for open-pit mines is not commonly used and required as there is no possibility of its accumulation in the mine workings, as is the case for underground hard coal mines. In this article, two research areas for open-pit lignite mines were analyzed in …

Poisson Lindley-Quasi Xgamma Distribution For Count Data: Properties And Applications, Seth Borbye, Suleman Nasiru, Kingsley Kuwubasamni Ajongba, Sampson Wiredu

Al-Bahir

The literature contains innumerable probability distributions for modeling over-dispersion and under-dispersion count datasets from various fields of study. However, some of these proposed distributions are inadequate due to empirical or theoretical characteristics. Therefore, minimizing information loss during modeling has prompted the demand to modify the classical discrete distributions. A new two-parameter count distribution is proposed by combining Poisson and Lindley-quasi XGamma distributions via a continuous mixture technique. Some statistical properties have been derived and studied, including factorial moments, raw moments, probability generating function, moment generating function, characteristic function, mean, variance, dispersion index, skewness, and kurtosis. The shape of the PMF …

Ornstein-Uhlenbeck Type Operators Induced By Some Geometric Structures On Complex Domains, Souheyl Jendoubu

Journal of Stochastic Analysis

No abstract provided.

Perceived And Recorded Temperature In Aircraft Cabins During 143 Flights, Matthew Nicholls, Peter Vink

Journal of Aviation Technology and Engineering

This essay reports on the perceived and recorded temperature in aircraft cabins during 143 flights. In each flight, passengers reported their experience. They recorded temperature and humidity after boarding and one hour later. The reports show that fewer than half of the passengers perceived the temperature as “good.” Most passengers (39%) perceived it as hot, and some (17%) perceived it as cold. Comparing the temperatures with guidelines shows that 18% of the recorded temperatures in the cabin were empirically too hot and 2% empirically too cold. The differences between passengers in what they perceive as a good temperature are large, …

Greening The Workplace: Can Sustainable Practices Reduce Anxiety And Enhance Meaningful Work Engagement?, Cyril Tom T. Sunny, Peter Muttungal, Benny G. Davidson

Northeast Journal of Complex Systems (NEJCS)

This academic research examines the relationship between job engagement, green work climate, job-related anxiety, meaningfulness at work within the organization. It draws attention to identify the significant relations among all these factors and highlights the role of a green work climate in promoting meaningful work and alleviating job-related anxiety. The research emphasizes a diverse sample of employees from various organisations using structural modelling to find the mediating roles of job engagement and work meaningfulness in the correlation between organizational practices, environmental sustainability, and employee satisfaction. The study finds that a green work climate significantly enhances meaningful work experiences and reduces …

Service Learning In Mathematics, Yoshihiko Ariizumi

Learning, Teaching, & Researching Optimization

The inspiration obtained by reading this article helps faculty members generate their own ideas to facilitate service learning in the courses they teach.

Guide To Facilitate Service Learning, Yoshihiko Ariizumi

Learning, Teaching, & Researching Optimization

This guide contains the list of 10 links to richly useful information that I have accumulated spending hundreds of hours.

Multidimensional Monotonicity And Economic Applications, Frank Yang, Kai Hao Yang

Cowles Foundation Discussion Papers

We characterize the extreme points of multidimensional monotone functions from [0,1]^n to [0,1], as well as the extreme points of the set of one-dimensional marginals of these functions. These characterizations lead to new results in various mechanism design and information design problems, including public good provision with interdependent values; interim efficient bilateral trade mechanisms; asymmetric reduced form auctions; and optimal private private information structure. As another application, we also present a mechanism anti-equivalence theorem for two-agent, two-alternative social choice problems: A mechanism is payoff-equivalent to a deterministic DIC mechanism if and only if they are ex-post equivalent.

Simplification Of Woody Plant Trait Networks Among Communities Along A Climatic Aridity Gradient, Camila D. Medeiros, Santiago Trueba, Christian Henry, Leila R. Fletcher, James A. Lutz, Rodrigo Méndez‐Alonzo, Nathan J. B. Kraft, Lawren Sack

Wildland Resources Faculty Publications

1. Plant ecological strategies are shaped by numerous functional traits and their trade-offs. Trait network analysis enables testing hypotheses for the shifting of trait correlation architecture across communities differing in climate and productivity.

2. We built plant trait networks (PTNs) for 118 species within six communities across an aridity gradient, from forest to semi-desert across the California Floristic Province, based on 34 leaf and wood functional traits, representing hydraulic and photosynthetic function, structure, economics and size. We developed hypotheses for the association of PTN parameters with climate and ecosystem properties, based on theory for the adaptation of species to low …

Human-Ai Collaboration In Writing: A Multidimensional Framework For Creative And Intellectual Authorship, James Hutson

Faculty Scholarship

The integration of AI technologies into the writing process has significantly altered traditional notions of authorship, creativity, and intellectual labor. Historically, writing was seen as a human-driven cognitive and creative exercise, but with the rise of generative AI tools such as ChatGPT and Claude, the line between human and AI contributions has become increasingly ambiguous. This paper addresses the limitations of the current sliding scale model, which views AI involvement as ranging from “none” to “complete”. In its place, we propose a new multidimensional framework that more accurately reflects the complexity of human-AI collaboration in writing. The model includes axes …

Beyond The Blue Skies: A Comprehensive Guide For Risk Assessment In Aviation, Leila Halawi, Mark Miller, Sam Holley

Publications

Risk assessment in aviation is a critical process that safeguards the safety and reliability of operations. Aviation operations encompass inherent risks, from mechanical failures to human errors and environmental factors. The significance of these risks may be severe, leading to accidents, injuries, and loss of life. Recognizing and mitigating risks is supreme in this dynamic environment, where emerging technologies and innovation constantly reshape this industry. This chapter includes an in-depth explanation of risk management and analysis, leading to the core elements of risk assessment specifically for aviation operations. We will describe the process and explore some of the applications and …

Hear’Em Out! 10th-Grade Student Interest In And Experiences Of Stem At An International High School In Honduras, Blake B. Swanson

Doctorate in Education

Our world’s needs are rapidly shifting due to technology and innovation. Yet is education changing to appropriately prepare students? Are students even interested in pursuing an education oriented around science, technology, engineering, and mathematics (STEM)? Dominant theorists in this arena have been Jacqueline Eccles and Allan Wigfield with Situated Expectancy Value Theory (SEVT) and Robert Lent and Steven Brown with Social Cognitive Career Theory (SCCT). Nonetheless, Central America remains an understudied region generally and even more so regarding these explanatory theories about student interest. This study sought to investigate this question at the high school level by conducting interviews and …

Leveraging Bayesian And Classical Techniques For Survival Analysis Using The Weibull-Rayleigh Distribution, Mahmoud Mansour, Rashad El-Sagheer, Nagwa Mohamed

Basic Science Engineering

This paper contributes to an extensive analysis of the Weibull-Rayleigh distribution (WRD), including Bayesian inference for randomly censored data. The WRD is a versatile model that fits various types of survival data, especially in situations including censoring, commonly found in biostatistics and engineering reliability research. The research investigates the derivation of the WRD’s probability density and cumulative distribution functions, employing maximum likelihood estimation (MLE) and Bayesian estimating techniques to accurately infer parameters. Gamma priors are utilized in Bayesian analysis, and approximate Bayesian estimates are derived by Gibbs sampling and Lindley’s approximation methods. An actual dataset that represents leukemia-free survival times …

Sustainability In Forex Trading: A Review In Search Of The Sarsa-Fis Hybrid Method As A Novelty, Joni Fat, Parwadi Moengin, Pudji Astuti, Sally Cahyati

Bulletin of Monetary Economics and Banking

This study employs meta-analysis, rich pictures, timeline analysis, and causal loop diagram to explore the sustainability impacts of the SARSA-FIS hybrid method in forex trading robots. It reviews 56 references (2018-2023), using rich pictures to map AI-driven interactions. Timeline analysis traces AI’s evolution in forex, while causal loop diagram clarifies its role in market dynamics. Responsible algorithms and SRI principles mitigate risks, promoting ethical trading. SARSA-FIS enhances strategies, leveraging AI for sustainable forex practices amidst global uncertainties. The research identifies gaps and positions SARSA-FIS as a novel approach, providing a foundation for advancing AI applications in finance, particularly in forex …

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.

Exploring Predictive Modeling For Food Quality Enhancement: A Case Study On Wine, Cemil Emre Yavas, Jongyeop Kim, Lei Chen, Christopher Kadlec, Yiming Ji

Computing: Faculty Publications

What makes a wine exceptional enough to score a perfect 10 from experts? This study explores a data-driven approach to identify the ideal physicochemical composition for wines that could achieve this highest possible rating. Using a dataset of 11 measurable attributes, including alcohol, sulfates, residual sugar, density, and citric acid, for wines rated up to a maximum quality score of 8 by expert tasters, we sought to predict compositions that might enhance wine quality beyond current observations. Our methodology applies a second-degree polynomial ridge regression model, optimized through an exhaustive evaluation of feature combinations. Furthermore, we propose a specific chemical …

Addressing Class Imbalance Problem In Health Data Classification: Practical Application From An Oversampling Viewpoint, Edmund F. Agyemang, Joseph A. Mensah, Eric Nyarko, Dennis Arku, Benedict Mbeah-Baiden, Enock Opoku, Ezekiel Nii Noye Nortey

School of Mathematical & Statistical Sciences Faculty Publications

While analyzing health data is important for improving health outcomes, class imbalance in datasets poses major challenges to machine learning classification models. This work, therefore, considers the class imbalance problem in stroke prediction using models such as K-nearest neighbors, support vector machine, logistic regression, random forest, and decision tree. This work balances the stroke dataset, thereby enhancing model performance, through various oversampling strategies: random oversampling (RO), ADASYN, SMOTE, and SMOTE–Tomek. Compared to the results of the imbalanced dataset, all applied oversampling techniques enhanced the correct classification of stroke events by the ML model. Among these, RO–SVM with RBF kernel was …

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

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Effects Of Imidacloprid And Polyester Microfibers On The Larval Development Of The Endangered Sunflower Star, Alexandra G. Tissot, Elise F. Granek, Fiona Curliss, Augustin Kalytiak-Davis, Jason Hodin, Michelle L. Hladik

Environmental Science and Management Faculty Publications and Presentations

Sea star wasting syndrome has affected numerous species of sea star, with populations of Pycnopodia helianthoides (Brandt, 1835) left most at risk. As their populations are struggling to recover, it is important to gain a better understanding of the impacts that the multiple stressors in their habitats can have on their populations. Contaminant stressors in particular are of increasing importance, because aquatic organisms can be exposed to a dynamic range of contaminants from nearby anthropogenic activity that may affect their future recovery efforts. This study is the first to quantify the effects of contaminant stressors on the larvae of P. …

Vertical Gradient In Atmospheric Particle Phase State: A Case Study Over The Alaskan Arctic Oil Fields, Nurun Nahar Lata, Zezhen Cheng, Darielle Dexheimer, Susan Mathai, Matthew A. Marcus, Kerri A. Pratt

Michigan Tech Publications

The phase state of atmospheric particles impacts atmospheric processes like heterogeneous reactions, cloud droplet activation, and ice nucleation, influencing Earth's climate. Factors like chemical composition, temperature, and relative humidity govern particle phase states. The Arctic atmosphere is stratified, with varying particle compositions, but vertical profiles of submicron phase states remain poorly understood due to limited aloft measurements. To address this, particle samples were collected via a tethered balloon system (TBS) at the U.S. Department of Energy Atmospheric Radiation Measurement Program's facility at Oliktok Point, Alaska, on November 19, 2020. Using an environmental scanning electron microscope with a tilted Peltier stage …

Hilbert’S 10th Problem Via Mordell Curves, Somnath Jha, Debanjana Kundu, Dipramit Majumdar

School of Mathematical & Statistical Sciences Faculty Publications

We show that for 5 / 6 -th of all primes p, Hilbert’s 10th problem is unsolvable for the ring of integers of Q ( ζ 3 , 3 √ p ) . We also show that there is an infinite set S of square-free integers such that Hilbert’s 10th problem is unsolvable over the ring of integers of Q ( ζ 3 , √ D , 3 √ p ) for every D ∈ S and for every prime p ≡ 2 , 5 ( mod 9 ) . We use the CM elliptic curves y 2 = x …

Perceptions Of Mathematics Coaching Experience By Jamaica Secondary School Teachers, Verlaine Angela Henry-Reid

Walden Dissertations and Doctoral Studies

The local problem that was addressed through this study is the continued underperformance of Jamaican students taking the upper level of the Caribbean Secondary Education Certificate (CSEC), despite the assignment of coaches to support in-service mathematics teachers. The purpose of this qualitative research was to explore in-service teachers’ perceptions on the CSEC mathematics coaching received and the challenges they countered.The cognitive apprenticeship theory (CAT) was the conceptual framework. For this qualitative design, semistructured interviews with 10 in-service mathematics teachers at two Jamaican secondary schools were conducted, resulting in four themes: (a) usefulness of establishing a coaching mathematics community of practice …