Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

2026

Discipline
Institution
Keyword
Publication
Publication Type
File Type

Articles 28651 - 28656 of 28656

Full-Text Articles in Entire DC Network

First-Principles Investigation Of Quasi-One-Dimensional Van Der Waals Magnets For Advancing Low-Dimensional Spintronics, Alyssa Horne Jan 2026

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 Cr1–xMnxSbSe3 (x = 0, 0.5, 1). When 50% of Cr is replaced …

Go to article

Using Automotive Lidar To Reduce The Energy Consumption Of An Ego Autonomous Vehicle, Logan P. Schexnaydre Jan 2026

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 …

Go to article

Rapid Austenite Restoration Through Non-Partitioning Transformation In Medium-Mn Steel, Rebekah A. Smith Jan 2026

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 …

Go to article

Enhancing Coastal Vulnerability Assessments And Policy Impacts On Socioeconomic And Environmental Equity In Michigan's Great Lakes Communities, Esther N. Acheampong Jan 2026

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. …

Go to article

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 Jan 2026

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 …

Go to article

Hiring People In Organizations: The State And Future Of The Science [Review], Paul R. Sackett, Filip Lievens, Richard N. Landers Jan 2026

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 …

Go to article

First Prev