Digital Commons Network^™

Owning Workplace Safety: Investigating Safety Locus Of Control Among Nurses, Archana Manapragada Tedone, Jessica Mesmer-Magnus, Julie J. Lanz, Chockalingam Viswesvaran

Faculty Publications

Workplace accidents and injuries continue to be a challenge in high-risk industries such as healthcare, where safety is a daily critical concern. Although organizational factors such as safety climate have been well-established as predictors of safety-related outcomes, less is known about the role of individual differences in workplace safety. This research investigates safety locus of control, which captures an employee’s tendency to believe that their safety-oriented behaviors actually play a role in preventing safety incidents. Individuals with a highly internal safety locus of control tend to recognize the importance of their own and others’ safety actions for promoting workplace safety …

Prioritizing Data Quality In Machine Learning For Thermophysical Property Prediction: A Case Study On Normal Boiling Points Of Organic Compounds, Frank T. Mtetwa, Neil F. Giles, W. Vincent Wilding, Thomas A. Knotts Iv

Faculty Publications

Accurate prediction of the normal boiling point (NBP) of organic compounds is essential for the design and optimization of chemical processes. This is especially true for modern practice since experimental measurements of many compounds of contemporary importance are difficult to perform due to cost, purity, and stability issues. Traditional methods, such as group contribution (GC) and quantitative structure–property relationship (QSPR) approaches, are limited by inflexibility and diminishing accuracy in these situations. Machine learning (ML) approaches have shown promise but are plagued by two weaknesses for the nonspecialist: ease of use (especially compared to GC and QSPR) and proven accuracy for …

Multi-Level Salmon Governance And Adaptation To Institutional Change In Indigenous Fishing Communities In Kamchatka, Russia, Tatiana Degai, Maria Monakhova, Andrey Petrov, Victoria N. Sharakhmatova, Yulia Vasilieva

Faculty Publications

Discussions around salmon governance and management systems in the Pacific remain to be the source of debate and tension between recreational fishers, commercial fishing industry, Indigenous communities, government agencies, as well as the scientists (Chalifour et al., 2022; Day, 2023; Reid et al., 2022). While decades were spent on developing the “correct” salmon governance regimes, these systems still fail to respond to the needs of salmon-dependent communities and salmon populations (Council of Athabascan Tribal Governments, n.d.; Connors, 2023). In multiple contexts multi-level governance is enforced top-down and is imposed with the pretext of achieving “better” management of resources, yet increasing …

Intrinsic Defects (Vacancies And Antisites) In Neutron Irradiated Cdsip2 Crystals, Timothy D. Gustafson, Elizabeth M. Scherrer, Nancy C. Giles, Kevin T. Zawilski, Peter G. Schunemann, Jonathan E. Slagle, Kent L. Averett, Larry E. Halliburton

Faculty Publications

Cadmium silicon phosphide (CdSiP₂) is a nonlinear optical material widely used in optical parametric oscillators. Intrinsic defects (vacancies and antisites) are responsible for unwanted broad optical absorption bands in these crystals that degrade the performance of the devices. In the present work, optical absorption and electron paramagnetic resonance (EPR) spectra are acquired (at room temperature and 12 K, respectively) from a neutron-irradiated CdSiP₂ crystal. After the irradiation, the crystal is highly absorbing from the band edge near 600 nm to beyond 1.3 μm because of overlapping defect-related absorption bands. Heating to 550 °C removes nearly all the …

Using Serial Open Circuit Potentiometry To Study Ce And Gd Deposition In Molten Licl-Kcl Eutectic, Ranon G. Fuller, Guy L. Fredrickson, Devin Rappleye

Faculty Publications

The ability to electrochemically separate individual species in a pyrochemical reprocessing salt relies on first being able to detect a separation in their reaction potentials. This requires the ability to measure reaction potentials with extreme precision. In this work, we introduce a novel technique called serial open circuit potentiometry (SOCP) and demonstrate its effectiveness at precisely measuring metal deposition reaction potentials. SOCP has several advantages over traditional open circuit potentiometry, including its abilities to quantify the error of measured equilibrium potentials by averaging many individual OCP measurements, determine overpotential deposition nucleation potentials to instrument precision, and simultaneously determine the nucleation …

Disparities In Street Harassment Exposure And Mental Health Consequences: Elevated Risk For Marginalized Women, Sophia Shaiman, Kaitlin M. Boyle

Faculty Publications

Street harassment is a widespread harm that disproportionately affects women. While research suggests links between racial inequality, street harassment, and mental health outcomes, it is less understood how the severity of harassment experienced is shaped by their demographic characteristics, and how the severity of the harassment shapes mental health outcomes. Thus, we ask two questions. First, which demographic characteristics are associated with a greater risk of “complementary” and “hostile” forms of street harassment? Second, are complementary and hostile forms of street harassment both associated with higher levels of negative emotion, psychological distress, and post-traumatic maladaptive beliefs? To answer these questions, …

Pathlength, Altitude And Angle Of Incidence Dependence Of Remote Water Raman Scattering, Whitney E. Schuler, Paige K. Williams, Zechariah B. Kitzhaber, Caitlyn M. English, Tammi L. Richardson, Nikos Vitzilaios, Michael L. Myrick

Faculty Publications

A small remote Raman sensor was used to measure the Raman scattering signal from clear, still water as a function of water depth (12 cm and 396 cm depth), sensor distance above the water surface (20–300 cm), and angle of incidence (0–80°) to the normal of the water surface. Under thick- and thin-sample conditions, the signal depends on either the inverse, or the inverse square, of sensor distance from the water surface, respectively. A model is derived that fits data for different sensor distances, water depths, and angles of incidence. Fits to the measured data are consistent with the known …

Did Your Student Or A Bot Write This Paper?: Teaching And Grading In The Age Of Ai, John Lande

Faculty Publications

Generative artificial intelligence (AI) is disrupting traditional assumptions about law students’ authorship of their written assignments.  Faculty are concerned about their ability to tell whether students are writing their own papers or simply using AI tools like ChatGPT.  This article offers practical strategies for addressing this problem, focusing on teaching and grading practices that promote transparency, accountability, and learning.

It recommends that faculty require students to include AI use certification cover sheets with their papers, disclosing whether and how they used AI tools during the writing process.  The article also explains how faculty can shift from purely summative to use …

The Art Of Ai Prompting In Law And Dispute Resolution Practice, John Lande

Faculty Publications

This short article offers a practical guide for using AI tools to improve the judgment and efficiency of lawyers, mediators, and arbitrators.  It cites ABA Ethics Opinion 512, which describes lawyers’ ethical duty of technological competence under the ABA Model Rules.

The article encourages practitioners to begin by selecting AI tools appropriate to their tasks such as general-purpose platforms or specialized tools listed in the article.  It explains how to write effective prompts, use follow-up questions to refine outputs, and apply professional judgment when reviewing results.  It includes a list of suggested follow-up prompts.

Getting useful results from AI tools …

Introducing A Markov Chain-Based Time Calibration Procedure For Multi-Channel Particle Detectors: Application To The Superfgd And Tof Detectors Of The T2k Experiment, S. Abe, H. Alarakia-Charles, I. Alekseev, C. Alt, T. Arai, T. Arihara, S. Arimoto, A. M. Artikov, Y. Awataguchi, N. Babu, V. Baranov, G. Barr, D. Barrow, L. Bartoszek, L. Bernardi, L. Berns, S. Bhattacharjee, A. V. Boikov, A. Blanchet, A. Blondel, A. Bonnemaison, S. Bordoni, M. H. Bui, T. H. Bui, F. Cadoux, S. Cap, A. Cauchois, J. Chakrani, P. S. Chong, A. Chvirova, P. Collard, M. Danilov, C. Davis

Faculty Publications

Inter-channel mis-synchronisation can be a limiting factor to the time resolution of high performance timing detectors with multiple readout channels and independent electronics units. In these systems, time calibration methods employed must be able to efficiently correct for minimal mis-synchronisation between channels and achieve the best detector performance. We present an iterative time calibration method based on Markov Chains, suitable for detector systems with multiple readout channels. Starting from correlated hit pairs alone, and without requiring an external reference time measurement, the method solves for fixed per-channel offsets, with precision limited only by the intrinsic single-channel resolution. A mathematical proof …

Real-Time Electron Spectrometer Utilizing A Permanent Magnet And Diode Detector Array, Mason W. Heath, Kenneth L. Matthews, Garrett M. Pitcher, Kenneth R. Hogstrom

Faculty Publications

Background: Magnetic spectrometers have been previously described for measuring energy spectra of therapeutic electron beams. However, challenges for clinical utilization have been their size, weight, and limited real-time capabilities. Development of a compact, lightweight, and inexpensive device with real-time readout will make an electron spectrometer a practical clinical tool. Purpose: This work integrates a commercial diode detector array with a permanent dipole magnet to create a practical real-time energy spectrometer for therapeutic electron beams. Methods: A 4 kg, 0.55 T permanent dipole magnet was coupled to two PC boards of a Sun Nuclear SRS MapCHECK device, which provided two interlaced …

Adipose Tissue Estrogen Receptor-Alpha Overexpression Ameliorates High-Fat Diet–Induced Adipose Tissue Inflammation, Marion C. Hope, Christian A. Unger, M. Chase Kettering, Cassidy E. Socia, Ahmed K. Aladhami, Barton C. Rice, Darya S. Niamira, Ben P. Wiznitzer, Diego Altomare Ph.D., William E. Cotham, Reilly T. Enos

Faculty Publications

Context

We created an innovative mouse model that enables inducible overexpression of estrogen receptor-alpha (ERα), specifically in adipose tissue (Adipo-ERα↑). Objective

We aimed to investigate how elevated Adipo-ERα↑ influences the development of high-fat diet (HFD)-induced obesity in both male and female mice. Methods

Male and female Adipo-ERα↑ mice and littermate controls were fed a low-fat diet (LFD) or HFD for 13 weeks. Adipo-ERα↑ was induced at the initiation of dietary treatment. Body morphology and composition, hepatic lipid accumulation, glucose tolerance, fasting insulin concentrations, and adipose tissue mRNA profiling were assessed. Liquid chromatography–mass spectrometry was used to determine circulating and adipose …

Adipose Tissue Estrogen Receptor-Alpha Overexpression Ameliorates High-Fat Diet–Induced Adipose Tissue Inflammation, Marion C. Hope, Christian A. Unger, M Chase Kettering, Cassidy E. Socia, Ahmed K. Aladhami, Barton C. Rice, Darya S. Niamira, Ben P. Wiznitzer, Diego Altomare Ph.D., William E. Cotham, Reilly T. Enos

Faculty Publications

Context

We created an innovative mouse model that enables inducible overexpression of estrogen receptor-alpha (ERα), specifically in adipose tissue (Adipo-ERα↑). Objective

We aimed to investigate how elevated Adipo-ERα↑ influences the development of high-fat diet (HFD)-induced obesity in both male and female mice. Methods

Male and female Adipo-ERα↑ mice and littermate controls were fed a low-fat diet (LFD) or HFD for 13 weeks. Adipo-ERα↑ was induced at the initiation of dietary treatment. Body morphology and composition, hepatic lipid accumulation, glucose tolerance, fasting insulin concentrations, and adipose tissue mRNA profiling were assessed. Liquid chromatography–mass spectrometry was used to determine circulating and adipose …

The Sensitivity Of Future Hydroclimate Projections To Topography And Large-Scale Dust Forcing In The Luquillo Mountains Of Eastern Puerto Rico, J. Preece, C. Johnson, T. Mote, P. Miller, M. Williams

Faculty Publications

Precipitation over Puerto Rico is expected to decline in coming decades, threatening an important source of surface water supply. However, earth system models neither resolve fine-scale orographic impacts nor the radiative effects of Saharan dust aerosols on precipitation over the island's mountains. Here, we use the Weather Research and Forecasting model coupled with chemistry (WRF-Chem) to downscale global climate model projections to a convection-resolving 4-km resolution for both dust and no-dust scenarios. We compare the regional hydroclimate during three periods: historical (2014–2018), mid- (2045–2049) and end-21st century (2085–2089), using output from an RCP8.5 simulation of the Community Earth System Model, …

Polymorphism Crystal Structure Prediction With Adaptive Space Group Diversity Control, Sadman Saadeed Omee, Lai Wei, Jianjun Hu

Faculty Publications

Crystalline materials can form different structural arrangements (i.e., polymorphs) with the same chemical composition, exhibiting distinct physical properties depending on how they are synthesized or the conditions under which they operate. For example, carbon can exist as graphite (soft, conductive) or diamond (hard, insulating). Computational methods that can predict these polymorphs are vital in materials science, which help understand stability relationships, guide synthesis efforts, and discover new materials with desired properties without extensive trial-and-error experimentation. However, effective crystal structure prediction (CSP) algorithms for inorganic polymorph structures remain limited. ParetoCSP2 is proposed, a multi-objective genetic algorithm for polymorphism CSP that incorporates …

Book Review: Untaxed: The Rich, The Irs,And A New Approach To Tax Compliance, Leslie Book

Faculty Publications

No abstract provided.

X-Ray Polarization Detection Of The Pulsar Wind Nebula In G21.5-0.9 With Ixpe, Niccolò Di Lalla, Nicola Omodei, Niccolò Bucciantini, Jack T. Dinsmore, Nicolò Cibrario, Stefano Silvestri, Josephine Wong, Patrick Slane, Tsunefumi Mizuno, Michela Negro, Roger W. Romani, Riccardo Ferrazzoli, C. Y. Ng, Miltiadis Michailidis, Yi Jung Yang, Fei Xie, Martin C. Weisskopf, Philip Kaaret, Iván Agudo, Lucio A. Antonelli, Matteo Bachetti, Luca Baldini, Wayne H. Baumgartner, Ronaldo Bellazzini, Stefano Bianchi, Stephen D. Bongiorno, Raffaella Bonino, Alessandro Brez, Fiamma Capitanio, Simone Castellano, Elisabetta Cavazzuti, Chien Ting Chen, Stefano Ciprini

Faculty Publications

We present the X-ray polarization observation of G21.5−0.9, a young Galactic supernova remnant (SNR), conducted with the Imaging X-ray Polarimetry Explorer (IXPE) in 2023 October, with a total livetime of approximately 837 ks. Using different analysis methods, such as a space-integrated study of the entire region of the pulsar wind nebula (PWN) and a space-resolved polarization map, we detect significant polarization from the PWN at the center of the SNR, with an average polarization degree of ∼10% oriented at ∼33° (north through east). No significant energy-dependent variation in polarization is observed across the IXPE band (2-8 keV). The polarization map, …

Fostering Belonging Through Library Descriptions, Nicole Lewis, Sharolyn Swenson, Katie Yeo, Karen Glenn

Faculty Publications

In late 2023, the BYU Library adopted its Inclusive Metadata Policy as part of its commitment to fostering a campus culture of belonging. This policy reflects the Statement on Belonging, which affirms that we “value and embrace the variety of individual characteristics, life experiences and circumstances, perspectives, talents, and gifts of each member of the community and the richness and strength they bring to our community.”[1] Catalogers and archival processors at the library are engaging in practices of cultural humility to ensure that the language and frameworks we use to describe people, communities, and histories are inclusive and respectful. …

Dilute Magnetic Impurity-Induced Effective Phonon Magnetic Moment In Fe-Doped Monolayer Mos2, Hussam Mustafa, Gaihua Ye, Cynthia Nnokwe, Mengqi Fang, Mohamed Kandil, Abdullah Al-Mahboob, Kai Wu, Andrew James Stollenwerk, Timothy E. Kidd, Paul M. Shand, Jerzy T. Sadowski, Eui Hyeok Yang, Yinong Zhou, Rui He, Wencan Jin

Faculty Publications

Realization of large effective phonon magnetic moment in monolayer MoS2 has established an important route for exploring intriguing magnetic phenomena in a nonmagnetic material. The sizable coupling between the orbital transition and the circularly polarized phonon results in the large effective phonon magnetic moment. In this work, using magneto-Raman spectroscopy, we investigate substitutional doping of magnetic atoms as a tuning knob of the electronic and phononic properties of MoS2. We show that Fe-doping polarizes the spin of the conduction bands and introduces a localized Fe band underneath the conduction band. As a result, an additional orbital transition between the Mo …

An Event-Based Time-Incremented Snn Architecture Supporting Energy-Efficient Device Classification, David L. Weathers, Michael A. Temple, Brett J. Borghetti

Faculty Publications

Recent advances in Radio Frequency (RF)-based device classification have shown promise in enabling secure and efficient wireless communications. However, the energy efficiency and low-latency processing capabilities of neuromorphic computing have yet to be fully leveraged in this domain. This paper is a first step toward enabling an end-to-end neuromorphic system for RF device classification, specifically supporting development of a neuromorphic classifier that enforces temporal causality without requiring non-neuromorphic classifier pre-training. This Spiking Neural Network (SNN) classifier streamlines the development of an end-to-end neuromorphic device classification system, further expanding the energy efficiency gains of neuromorphic processing to the realm of RF …

Who Gets Stitches? The Effects Of Rewarding Whistleblowers And Protecting Their Identity On Subsequent Willingness To Work With Others, Ryan D. Sommerfeldt

Faculty Publications

Companies are strongly encouraged to implement whistleblowing programs to help detect and deter misconduct in organizations, but whistleblowers often face ostracism as their coworkers are less willing to work with them (the whistleblower effect). Rewarding the whistleblower and protecting the whistleblower’s identity are two highly recommended features of whistleblowing programs that aim to encourage reporting. Across two experiments, I examine the spillover effects of these whistleblowing program features on how willing employees are to work with their coworkers after reporting occurs. I find that providing a reward to the whistleblower exacerbates the whistleblower effect, leading employees to work even less …

On Good Terms: Pathways To Decolonizing Science-Appropriated Indigenous Terminologies In Arctic Research, Stanislav Saas Ksenofontov, Vera Kuklina, Alexander Kholodov, Andrey Petrov

Faculty Publications

Many western scientific disciplines adopted Indigenous Knowledge and terminology without deference to or understanding of the original meanings and values attached to Indigenous terms and concepts. This form of scientific appropriation has become a serious barrier to efforts of decolonizing Arctic research. The notion of Alaas is an example of such appropriation by the western science-based system of Indigenous knowledge about human–nature relations. This paper aims to discuss the term Alaas as it is conceptualized in both western science and Indigenous knowledge. The paper will explore the development of “alas” as an international permafrost science term and Alaas as an …

From Cocaine To Avocados: Criminal Market Expansion And Violence, Chelsea Estancona Ph.D., Lucía Tiscornia

Faculty Publications

Most of what we know about organized criminal violence comes from research on illicit narcotics markets. Yet criminal groups also fight to capture markets for licit commodities, as evidenced by Sicilian lemons and Mexican avocados. When do organized criminal groups violently expand into markets for licit goods? We argue that rapid increases in the share of a good’s export value create opportunities for immediate profit and future market manipulation. These opportunities lead to violence as groups expand their territorial holdings and economic portfolio. We provide subnational evidence of our mechanism using data on avocado exports from Mexico, and address reverse …

Out Of The Vacuum: The Effect Of Tax Liability Changes On Compliance In The Presence Of Withholding Position And Group Affiliation, Chelsea Rae Austin, Donna Bobek Schmitt, Spenser G. Seifert

Faculty Publications

Prior research has established that tax liability increases lead to decreased compliance. However, tax liability changes do not happen in a vacuum. Notably, prior research has also identified a withholding phenomenon: individuals in a tax due position are less compliant than those in a refund position. Additionally, tax law changes are often enacted in politically polarized environments. We examine how three factors—tax liability changes, withholding position, and group affiliation—combine to influence individuals' tax compliance decisions. Our experimental results show that a tax increase is universally experienced as a loss, even when coupled with a tax refund and enacted by an …

A Test Of The Abundant-Center Hypothesis For Stream Fishes, Matthew L.W. Zink, Brandon K. Peoples, Julian D. Olden, Lily M. Thompson, William K. Annis, Stephen R. Midway

Faculty Publications

The abundant-center hypothesis (ACH) provides a conceptual model for predicting range-wide distributions of species abundance, suggesting that abundance peaks in the center of the geographic range and declines towards range edges. Empirical studies testing the ACH and its subsequent derivations predominantly occurred in terrestrial systems and reported mixed support. Moreover, none of these models consider the possibility of multiple geographic areas of elevated abundance (which we refer to as ‘abundant cores'). Naturally dispersal limited species may exhibit multiple abundant cores, requiring refinement of the ACH. We used fish species abundances from 29 206 community monitoring surveys and weighted geospatial kernel …

The Efficacy And Usability Of Motivational Interviewing Just-In-Time Trainings For Youth Mentors, Mackenzie J. Hart, Samuel Mcquillin, Aidyn Iachini, Daniel K. Cooper, Mark D. Weist

Faculty Publications

Using youth mentors to deliver evidence-based psychosocial services has been proposed to increase the reach of treatments, in part given the affordability and ubiquity of mentors in youth settings. Further, tests of mentor-delivered motivational interviewing (MI) have shown increases in youth mentees' academic performance and wellbeing. Yet, traditional methods of training mentors to use MI can be costly and time-consuming. Previous work has suggested the value of asynchronous, brief, just-in-time training (JITT) to help offset these challenges; however, MI JITT for mentors has not yet been formally evaluated. As such, here, we report on a preliminary study of MI JITT …

Artificial Intelligence In Head And Neck Cancer: Towards Precision Medicine, Jacob Hagen, Logan Hornung, William Barham, Supratik Mukhopadhyay, Adam Bess, Kevin Contrera, Devraj Basu, Vlad Sandulache, Guillaume Spielmann, Sagar Kansara

Faculty Publications

Over the past 20 years, the capabilities of artificial intelligence (AI) have gained significant interest. While AI has been implemented to various degrees in several disciplines, its unique applications in head and neck cancer (HNC) remain underdeveloped. This narrative review examines the existing body of literature regarding the use of AI in HNC. Studies to date have demonstrated AI’s utility across multiple phases of the HNC treatment continuum. Despite its promise, integrating AI into clinical practice faces several challenges, including concerns about system integrity, generalizability, privacy, and bias. In this review, we address these challenges and offer insights into future …

Recovery Of The X-Ray Polarisation Of Swift J1727.8-1613 After The Soft-To-Hard Spectral Transition (Corrigendum) (Astronomy And Astrophysics (2024) 686 (L12) Doi: 10.1051/0004-6361/202450566), J. Podgorný, J. Svoboda, M. Dovčiak, A. Veledina, J. Poutanen, P. Kaaret, S. Bianchi, A. Ingram, F. Capitanio, S. R. Datta, E. Egron, H. Krawczynski, G. Matt, F. Muleri, P. O. Petrucci, T. D. Russell, J. F. Steiner, N. Bollemeijer, M. Brigitte, N. Castro Segura, R. Emami, J. A. García, K. Hu, M. N. Iacolina, V. Kravtsov, L. Marra, G. Mastroserio, T. Muñoz-Darias, E. Nathan, M. Negro, A. Ratheesh, N. Rodriguez Cavero, R. Taverna

Faculty Publications

(Figure presented) In Fig. 4, the X-ray hardness value for observation 8 was plotted using a count-based ratio instead of the energy-flux-based ratio used for other points in the figure. The correction of the position of this point in Fig. 4 does not affect any other figures, results, or conclusions in the paper.

Sub-Gev Dark Matter And Mev Gamma-Ray Detection With Cosi, Yu Watanabe, Shigeki Matsumoto, Christopher M. Karwin, Tom Melia, Michela Negro, Thomas Siegert, Yuki Watanabe, Hiroki Yoneda, Tadayuki Takahashi

Faculty Publications

Sub-GeV dark matter (DM) has been attracting more attention due to the negative results searching for traditional weakly interacting massive particles (WIMPs). Such particles are expected to produce gamma rays from annihilation in the MeV energy region. Advancements in technology have opened up possibilities to precisely detect MeV gamma rays, leading to the upcoming space-based mission of the Compton Spectrometer and Imager (COSI). We comprehensively and quantitatively study the phenomenology of sub-GeV DM to determine if the COSI observations will probe their viable model parameter regions. We first construct models to describe sub-GeV DM based on the minimality and renormalizability …

Wind Turbine Rotor Design Using High-Fidelity Aerostructural Optimization, Marco Mangano, Sicheng He, Yingqian Liao, Denis-Gabriel Caprace, Andrew Ning, Joaquim R. R. A. Martins

Faculty Publications

Large wind turbines yield more energy but demand careful aeroelastic blade design. Coupled multiphysics design strategies can reduce wind energy costs exploiting fluid-structure interactions. This work presents the first high-fidelity aerostructural optimization study of a large wind turbine rotor.We use blade-resolved fluid dynamics and structural solvers in a monolithic gradient-based optimization framework to explore steady-state torque and blade mass trade-offs. The coupled-adjoint approach computes gradients efficiently, enabling the optimization of over 100 structural and geometric parameters simultaneously. Our optimization study modifies a DTU 10 MW benchmark with a simplified structure and isotropic material properties. The tightly coupled optimizations increase torque …