Digital Commons Network^™

High-Performance Circuit Manufacturing And Testing Exercises, Benjamin S. Keppers

Dissertations, Master's Theses and Master's Reports

An advanced demonstrator Printed Circuit Board (PCB) has been designed and implemented providing a framework for advancing students’ knowledge in hands-on PCB design and manufacturing process through industry recognized test coupons, stack ups, and transmission lines. Students are guided through several key aspects of design and simulation relating to manufacturing and qualifications. Manufacturing allows students to refine process development and analyze performance data with respect to qualification tests specified by Global Electronics Association standards. Results are then used to build a stackup model, and complete a design activity for calculating expected test results for a series of controlled impedance electrical …

Targeted And Screening Based Approaches To Analyze Drm Transcriptional Repressor Complex Activity In Caenorhabditis Elegans, Emily Washeleski

Dissertations, Master's Theses and Master's Reports

The molecular machinery that control the eukaryotic cell cycle, specifically the processes that mediate the switch between cellular division or quiescence, are essential for cellular and organismal viability. However, how the same machinery integrates with developmental or differentiation programs is less well understood. In Caenorhabditis elegans, the 8-subunit DRM complex (for Dp, Rb and MuvB), whose subunits belong to the Synthetic Mulitivulva (SynMuv) B class genes, is a central regulator of the cell cycle but also prevents inappropriate cell fate specification. The conserved mammalian DREAM complex (for Dp, Rb, E2F, And MuvB) is best known as a transcriptional repressor …

Robust State Estimation And Scene Understanding For Autonomous Ground Vehicles In Challenging Environments, Nader J. Abu-Alrub

Dissertations, Master's Theses and Master's Reports

Autonomous ground vehicles require reliable state estimation and scene understanding to operate safely in challenging environments. Poor illumination, adverse weather, degraded visibility, snow-covered roads, and sensor noise can reduce the reliability of conventional localization and perception pipelines. Addressing these challenges requires sensing and algorithmic strategies that exploit the complementary strengths of different modalities. Radar is particularly attractive because of its resilience to lighting and weather variations, while inertial, camera, and lidar measurements provide additional motion, appearance, and geometric information. This dissertation investigates compact radar-based and sensor-fusion approaches for improving autonomous ground-vehicle state estimation and scene understanding under degraded sensing conditions. …

Novel Chiral Interstellar Molecules: Quantum Anharmonic Ir And Vcd Predictions, Meredith Paik

Dissertations, Master's Theses and Master's Reports

The 2016 discovery of the chiral molecule propylene oxide (C₃H₆O) in the interstellar medium (ISM) has opened new avenues into explaining the origin of biomolecular homochirality on Earth. Thus, studies of chiral molecules in the ISM may be able to reveal more about the mechanism behind homochirality. However, while the search for chiral molecules in space has become an active field of study, astrochemical researchers have yet to detect other chiral molecules in the ISM. For this purpose, numerous characteristics for detectability have been outlined that may facilitate the discovery of other interstellar chiral molecules. With …

Applied Forest Restoration And Conservation In Michigan: Advancing American Beech Restoration And Documenting A Historical Insect Collection, Thomas E. Panella

Dissertations, Master's Theses and Master's Reports

Forest restoration and conservation require both practical management approaches and the preservation of biological resources that support future research. This dissertation presents applied research conducted in Michigan that advances American beech (Fagus grandifolia) restoration in response to beech bark disease (BBD) while documenting an important historical entomological resource. Chapters 1–3 focus on overcoming practical barriers to American beech restoration. Restoration protocols were developed and refined for identifying BBD-resistant trees, graft propagation, rootstock collection, container production, and the field establishment of grafted BBD-resistant trees. A greenhouse experiment evaluated the influence of growing media and fertilization on container stock quality, …

First-Principles Investigation Of Quasi-One-Dimensional Van Der Waals Magnets For Advancing Low-Dimensional Spintronics, Alyssa Horne

Dissertations, Master's Theses and Master's Reports

Van der Waals (vdW) magnets have been of great interest for advancing low- dimensional spintronics. A notable example is the quasi-one-dimensional (Q1D) vdW CrSbSe₃, as it is composed of individual one-dimensional units that are held together by the vdW forces. Finding other Q1D vdW magnets that exhibit non-metallic behavior together with long range ferromagnetic ordering is critical in developing next generation spintronics. Here in, using first-principles density functional theory (DFT), we investigate the compositional effects on electronic and magnetic behavior of Cr_1–xMn_xSbSe₃ (x = 0, 0.5, 1). When 50% of Cr is replaced …

Using Automotive Lidar To Reduce The Energy Consumption Of An Ego Autonomous Vehicle, Logan P. Schexnaydre

Dissertations, Master's Theses and Master's Reports

There is significant potential to reduce the energy consumption of the transportation sector through autonomous vehicles. Prior work on autonomous vehicle energy efficiency focuses on the whole system or the control subsystem. Yet, the sensing and processing components, which have direct and indirect effects on net energy use, are less explored. This dissertation fills this gap by modeling and evaluating these effects for lidar sensors, which provide high-resolution spatial data at the cost of high power and processing demands. I apply lidar to the energy-saving tasks of automated vehicle following and road surface profiling. For automated vehicle following, I model …

Analytical And Data-Driven Modeling And Control Of Nonlinear Point Absorber Wave Energy Converters With Application To Cone–Cone Buoy Geometries, Houssein Yassin

Dissertations, Master's Theses and Master's Reports

This dissertation develops analytical modeling, numerical simulation, experimental validation, and data driven control methods for nonlinear point absorber wave energy converters, with particular emphasis on cone--cone buoy geometries. Geometry dependent nonlinear force models are first derived using pressure field and displaced volume formulations. These models show how buoy geometry produces nonlinear Froude--Krylov and restoring forces, including the dominant cubic behavior of cone--cone geometries.

The derived models are incorporated into a feedback linearization framework that compensates selected nonlinear dynamics while retaining the incident wave terms. An analytical optimal control formulation is also developed to maximize harvested energy in nonlinear, nonautonomous systems …

Beyond Satisfaction: Developing A Data Storytelling Evaluation Protocol For Stem Equity Program Assessment, Karen Colbert

Dissertations, Master's Theses and Master's Reports

Higher education institutions routinely evaluate equity initiatives using measures of participation, engagement, and satisfaction. While these approaches provide useful information about program delivery, they offer limited insight into whether interventions change how participants understand institutional inequities. As a result, important dimensions of organizational learning and awareness often remain difficult to detect, particularly within STEM higher education environments where evaluation systems frequently emphasize measurable outputs over deeper indicators of change.

This dissertation examines how awareness-related outcomes can be identified, measured, and communicated within equity intervention contexts. Using a three-study design, the research first presents a systematic review of equity intervention evaluation …

Rapid Austenite Restoration Through Non-Partitioning Transformation In Medium-Mn Steel, Rebekah A. Smith

Dissertations, Master's Theses and Master's Reports

Steel microstructures that contain retained austenite exhibit unique mechanical flow behavior which renders them applicable to high-strength forming, and energy absorbing applications. Austenite stability is predominantly controlled through substitutional alloy enrichment, and during deformation, meta-stable austenite transforms to martensite which induces dramatic work hardening that may enhance mechanical properties. After deformation, these steels have greater yield strength but limited remaining ductility. Restoration of austenite through rapid thermal treatments, after it is expended through deformation, can enable retained austenite to be leveraged for additional deformation. In the present work, a rapid austenite restoration heat treatment following deformation-induced martensite transformation is presented …

Enhancing Coastal Vulnerability Assessments And Policy Impacts On Socioeconomic And Environmental Equity In Michigan's Great Lakes Communities, Esther N. Acheampong

Dissertations, Master's Theses and Master's Reports

Accelerating shoreline erosion, fluctuating lake levels, and climate-induced hazards are transforming the Great Lakes’ freshwater coasts, exposing the limitations of static and inequitable management frameworks. This dissertation investigates how Michigan’s coastal governance systems produce and manage vulnerability along the Lake Michigan shoreline by integrating geospatial modeling, institutional policy analysis, and environmental justice theory. It argues that both physical processes and institutional designs co-determine patterns of exposure, protection, and equity. The research begins by developing a refined Coastal Vulnerability Index (CVI) tailored for lacustrine environments, applying it to Muskegon County to assess how shoreline change, armoring, and seasonality influence localized risk. …

The Effects Of Physical Boundaries On The Complexity Of Resonance Processes In Finite-Size Dielectric Metasurfaces, Varsha Vijay Kumar

Dissertations, Master's Theses and Master's Reports

This work investigates dramatic effects produced by the presence of physical boundaries of finite-size metasurfaces, composed of identical cylindrical dielectric resonators without broken symmetry, on the complexity of their responses, observed at normal plane wave incidence, when constituent particles can support only dipolar Mie resonances. Owing to their periodicity, metasurfaces are conventionally analysed using their unit cells with periodic boundary conditions, so that their “finiteness” remains largely under-studied, even though all practical systems are finite.  We demonstrate the opportunities to excite in these finite structures extra high-quality resonance modes, quite distinct from the resonant modes in infinite structures and explain …

Multihoming And Single-Homing Complementors' Responses To Intensified Between-Platform Competition: Evidence From The Youtube–Twitch Rivalry, Niloofar Abolfathi

Research Collection Lee Kong Chian School Of Business

Research Summary: This paper examines how heterogeneous YouTube content creators-specifically, single-homing and multihoming channels-respond to a sudden increase in the exposure of the rival platform, Twitch. Contrary to expectations, I find that multihoming channels reduce their content creation efforts and underperform relative to single-homers. To make sense of these surprising results, I develop a formal model that characterizes the strategic behavior of different types of complementors operating across two platforms with varying levels of user exposure. The model offers a plausible explanation for the observed empirical patterns, suggesting that intensified competition between platforms, as a consequence of their changing exposure, …

The Effects Of Financing Green And Brown Sectors: What Do Theories And Evidence Say?, Hao Liang, Maria Teresa Punzi

Research Collection Lee Kong Chian School Of Business

This paper critically examines the economic and welfare implications of financing green and brown sectors. Drawing on a comprehensive review of recent theoretical and empirical literature, we highlight that while conventional green finance—allocating capital toward environmentally friendly (“green”) sectors and away from carbon-intensive (“brown”) sectors—can promote decarbonization, it may also produce unintended externalities. In particular, it can inadvertently incentivize higher emissions from brown firms and contribute to economic disruption. Using a dynamic stochastic general equilibrium (DSGE) model, we demonstrate that lowering the cost of capital for green sectors leads to only modest reductions in emissions, whereas raising it for brown …

Policy Uncertainty Reduces Green Innovation, Mengyu Wang, Jeffrey Wurgler, Hong Zhang

Research Collection Lee Kong Chian School Of Business

Policy uncertainty can undermine the power of government subsidies to stimulate environmentally friendly research and development. We show that Chinese firms’ green R&D falls as the uncertainty of environmental subsidies rises: Exogenous, weather-driven air pollution variability induces subsidies to fluctuate, and firms in areas with high weather-driven subsidy variability undertake less green R&D and hire fewer technical employees, controlling for the average level of subsidies. Heavy emitters and environmental technology firms are more affected. The results also illustrate how policy uncertainty can arise when policymakers are influenced by conditions that are salient but with causes that are difficult to disentangle.

Large Owner Expropriation Threat And Stock Option Pay's Effect On Firm Risk-­Taking Behaviors In Weak Institutions, Cuili Qian, Lipeng (Gary) Ge, Xuesong Geng, Jiatao Li, Maria Hasenhuttl

Research Collection Lee Kong Chian School Of Business

Research Question/Issue: This study investigates the impact of managerial stock option pay on firm risk-­ taking behaviors in aweak institutional context, a critical question that has been overlooked by the literature. Specifically, we build on the comparative corporate governance perspective that emphasizes the implications of large shareholders' expropriation threat in weak institutions to develop predictions about their impact on the stock option's incentive alignment effect. We further explore the boundary conditions of such a relationship.Research Findings/Insights: Based on a sample of Chinese listed firms between 2006 and 2016, we find that a high level of large shareholders' expropriation threat weakens …

Brand Collaborations: Spillover Effects Of A Broadened Mind, Jin K. Han, Yong Seok Sohn, Bernd H. Schmitt

Research Collection Lee Kong Chian School Of Business

The current research focuses on the overlooked spillover implications of brand collaboration on downstream consumer decisions. The authors propose that brand collaborations create a broader consumer mindset, which can inadvertently encourage choices beyond the brand franchise. The authors identify collectionist behavior (i.e., the tendency to collect items from specific product lines) and time-induced construal level as moderators of this unintended negative downside effect. A retail field study and five laboratory experiments provide evidence for the effect, the underlying mindset mediator and the moderating conditions. We recommend that retailers and brand owners assess both positive and negative outcomes of brand collaborations …

Hiring People In Organizations: The State And Future Of The Science [Review], Paul R. Sackett, Filip Lievens, Richard N. Landers

Research Collection Lee Kong Chian School Of Business

Here we review recent work in the personnel selection field. We open with two sections, the first focusing on meta-analytic validity research on well-established predictors and the second on new measurement approaches. These include moving from a holistic to a modular view of predictors; from face-to-face to asynchronous video interviews; from resumes to social media assessments; from multiple choice to constructed response; and to using artificial intelligence to develop, administer, and score tests, among approaches. We then review developments in estimating validity, including issues in correcting validity estimates for error of measurement and restriction of range. We address technical issues …