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Library News October 2025, Research Medical Library

Library News 2025

• Celebrating American Archive Month
• Discover IEEE Xplore: A Powerful Resource for Cancer Researchers
• Remote and Hybrid Work: Refreshing Yourself and Your Environment
• A Little Distraction from the Day's Tasks: Learn the Meaning of "dis"

Faculty List

Washington Law Review

No abstract provided.

“That’S Not My Name”: The Linguistic Violence Of Misnaming Parties In Court Proceedings, Robert S. Chang, Cecily C. Hazelrigg, Linda Cj Lee

Washington Law Review

This Article calls attention to the harms done when parties are misnamed in legal proceedings. Misnaming, which many might initially consider trivial, is properly understood as a form of linguistic violence that can inflict dignitary harms as well as have material consequences. Misnaming takes on a different valence when it is done by the state. This Article focuses on the misnaming of Indigenous, Asian, and Latine people, beginning first with the way misnaming is done by the administrative state. The authors then discuss misnaming as it has operated in legal proceedings, providing both historical and contemporary examples from federal and …

A State Constitutional Challenge To Washington’S Denial Of Minimum Wage To Incarcerated Workers, Cailin Dahlin

Washington Law Review

This Comment challenges as unconstitutional Washington’s exemption of incarcerated individuals from the state Minimum Wage Act. Incarcerated people in Washington, unprotected by minimum wage guarantees, earn low wages in state-run inmate work programs. This statutory carveout is contrary to the rehabilitative purpose of Washington’s prisons because it impedes incarcerated people’s ability to afford necessities, participate in rehabilitative programs, and reintegrate into society. This exemption is unconstitutional under the state’s cruel punishment clause, because it is disproportionately cruel punishment and an excessive fine that incarcerated workers cannot afford. The exemption is also unconstitutional under the state’s privileges and immunities clause, because …

High Torque Density Dual-Stator Vernier Motors With Flux Concentrating Rotors, Esmaeil Mohammadi, Ali Mohammadi, Mohammad Amin Jalali Kondelaji, Pedram Asef, Ion G. Boldea, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

Axial Flux Permanent Magnet (AFPM) machines are increasingly being studied for low-speed, direct-drive applications due to their compact structure and high torque output. This study proposes two novel dual-stator AFPM vernier machine topologies: a spoke-type rotor configuration and a back-to-back Halbach array rotor. Both designs employ dual outer stators with 12 double-layer concentrated windings, and high-polarity rotor configurations to enhance flux concentration. A three-dimensional finite element model, which was previously validated by a laboratory prototype motor was utilized to evaluate the electromagnetic characteristics of the proposed topologies. These characteristics include torque density, airgap flux distribution, and harmonic content. Comparative results …

Multi-Phase Wireless Power Transfer With High Power Density Inductive Coils For Electric Drone Charging, Lucas A. Gastineau, Donovin D. Lewis, Omer Onar, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

Wireless charging of unmanned ground vehicles and aircraft has been proposed to increase charging reliability and security, allow for autonomous functionality, and either reduce battery size or increase continuous flight time. This paper proposes a three-phase Litz wire primary and a two-phase PCB secondary for high secondary-side power density considering misalignment tolerances, surface and volumetric power density, and coil sizing. Electromagnetic 3D finite element analysis (FEA) simulations are conducted to study variation in mutual inductance and coupling coefficient with different secondary coil sizes and number of turns, horizontal and vertical misalignment between the primary and secondary, and a combination of …

Nonlinear Design Scaling Of Electric Machines Based On Hybrid De And Meta-Modeling Application To Synchronous Motors With Combined Pm Stator And Reluctance Rotor Excitation, Oluwaseun A. Badewa, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

This paper presents an innovative method for nonlinear scaling of electric machines by integrating machine learning (ML)-based meta-modeling with a differential evolution (DE) algorithm. The technique is applied to high-performance combined-excitation synchronous electric motors which exhibit highly nonlinear characteristics, making performance scaling challenging. The proposed approach employs an ML meta-model trained on data obtained from finite element analysis (FEA), utilizing an experimentally validated model for nonlinear scaling and performance prediction at different power ratings. The accuracy of the meta-model in capturing the nonlinear relationships between design parameters and motor performance is first assessed using metrics such as R-squared (R2) and …

Multi Electric Machines With Series And Parallel Electromechanical Combinations For Aircraft, David R. Stewart, Donovin D. Lewis, Matin Vatani, Diego A. Lopez-Guerrero, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

High-performance electric propulsion systems require fault tolerant, power dense, electric machines capable of maintaining high efficiency across a dynamic range of operation. To address these inherently conflicting requirements, multi-motor architectures employing electromechanically coupled modular configurations have been proposed to enhance system efficiency, fault tolerance, and redundancy. This paper investigates four mechanically coupled configurations for a coreless axial flux permanent magnet (CAFPM) motor unit integrating series, parallel, and hybrid architectures with differential and gearbox coupling. Performance and optimal sizing for motors in each configuration are determined through 3D finite element analysis (FEA). To assess fault tolerance and system redundancy, Markov chain …

Design Optimization And Scaling Of Coreless Afpm Machines Using Hybrid Fea-Based Differential Evolution And Machine Learning, Matin Vatani, David R. Stewart, Donovin D. Lewis, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

This paper presents a machine learning (ML) based design framework for the fast and accurate optimization of coreless axial flux permanent magnet (AFPM) machines. Although the absence of magnetic cores eliminates material nonlinearity, the design process remains highly nonlinear due to the complex influence of geometric parameters. To overcome the computational challenges of finite element analysis (FEA)-based optimization, a series of multi-objective differential evolution (MODE) optimizations were conducted across various machine sizes at constant power output. The resulting design data was used to train an artificial neural network (ANN), enabling rapid prediction of machine performance without the need for repeated …

Coreless Axial Flux Permanent Magnet Machines With Concentrated Coils And Various Pole/Coil Combinations, Matin Vatani, Spencer M. Goode-Kulchar, John F. Eastham, Xiaoze Pei, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

This paper comprehensively analyzes coreless stator axial flux permanent magnet (AFPM) machines by investigating rotor magnetic fields, stator winding factors, and 2D/3D finite element analysis (FEA) simulations. The torque production theory in coreless AFPM machines is studied with detailed derivations for flux density and current density. The impact of rotor permanent magnet (PM) width is examined for both surface-mounted and Halbach array configurations, followed by a discussion of its influence on the air-gap harmonic spectrum. The effect of stator coil side width is analyzed through a detailed winding factor study across various pole-to-coil ratios and a discussion on the trade-off …

Voltage And Reactive Power Combined Control Of Utility Devices And Smart Inverters On A Distribution Grid With Solar Pv, Steven B. Poore, Rosemary E. Alden, Evan S. Jones, Thomas Morstyn, Aron Patrick, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

With adoption of distributed energy resources (DERs) expected in future grids, voltage regulation methods need to be reevaluated and improved to ensure their effectiveness under the high volatility of renewable generation. A multi-timescale cluster-based method is proposed to optimize and disperse operation of voltage controlling utility devices including capacitor banks (CBs) and load tap changers (LTCs) while allowing faster response time with customer-owned smart inverters (SIs) in-between switching operations. The proposed method is tested on a digital twin (DT) of a very large utility distribution grid with 2,018 nodes and 8.65MW peak load to evaluate its effectiveness in future grid …

Tensile And Fatigue Properties Of Haynes ® 233 Manufactured By Wire-Arc Additive Manufacturing, Samuel Onimpa Alfred, Frank W. Liou, Mehdi Amiri

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Haynes® 233 is a newly developed nickel-based superalloy currently in the early stages of commercial adoption. With the growing interest in fabricating large and complex components using wire-arc additive manufacturing (WAAM), this alloy presents a promising option for industrial applications. This study investigates the microstructure, tensile, and fatigue properties of heat-treated (HT) WAAM Haynes ® 233 and compares them to its wrought counterpart. Yield strength (YS), ultimate tensile strength (UTS), and fatigue strength of WAAM Haynes ® 233 are 709.4 MPa, 890.1 MPa, and 253.8 MPa, respectively. These values indicate a 63.8 % increase in YS, a 1.11 % decrease …

When Old Meets New: Two Louisiana State University Outreach Librarians Build, Work, And Learn Together To Support Collaborative Student Engagement, Alia Kempton, Mitch Fontenot

Faculty Publications

In this essay, outreach librarians Mitch Fontenot (he/him), Louisiana State University, and Alia Kempton (she/her), Louisiana State University, Special Collections, reflect on their inaugural year of working together, highlighting key achievements, challenges, and growth that have marked their collaborative journey. They discuss how they established effective communication, built trust, and developed a shared understanding of goals and expectations. Additionally, they explore where they envision their partnership heading in the future, touching on long-term aspirations, potential areas for deeper collaboration, and the strategies they plan to implement to continue fostering a successful and productive working relationship.

Availability Of Esg Rating Information And Voluntary Esg Disclosure: Evidence From Coverage Expansion Of Esg Rating Agency, Xuefan Peng

Dissertations and Theses Collection (Open Access)

I examine the effect of availability of ESG rating information on firms’ voluntary ESG disclosure practices. Thomson Reuters Asset4 expanded ESG rating coverage from Russell 1000 index to Russell 2000 index in 2017. Exploiting this exogenous shock of availability of ESG rating information in a difference-in-difference research design, I find that compared with Russell 1000 firms (i.e., control firms), Russell 2000 firms (i.e., treatment firms) are less likely to increase voluntary ESG disclosures. The effect is more pronounced for firms with higher disclosure costs, captured by higher level of firm complexity and lower level of digitalization, and less pronounced for …

Investigating Organisational Ethical Transgressions: A Middle Management Perspective, Belinda Kit Wah Boey

Dissertations and Theses Collection (Open Access)

This study questions how large-scale ethical transgressions persist within organisations by focusing on the pivotal yet underexamined role of middle managers. Positioned between senior leadership and frontline employees, middle managers often determine the trajectory of reported misconduct. By analysing their responses to ethical concerns raised by subordinates, the study seeks to illuminate the processes that sustain or interrupt organisational inaction.

Using grounded theory methodology, in-depth interviews were conducted with middle managers across diverse sectors. The analysis yields a typology of five distinct handling strategies: creative compliance, face-saving resolution, informal influence, formal escalation, and strategic withdrawal. …

'Only A Pawn In Their Game' Panel To Discuss Legacy Of Medgar Evers, Marisa C. Atkinson

University of Mississippi News

OXFORD, Miss. – Three threads of Mississippi and civil rights history – Medgar Evers, Bob Dylan and Jerry Mitchell – will be woven together in a public conversation Oct. 8 at the University of Mississippi.

Detection Of Two Anomalies Behind The Eastern Face Of The Menkaure Pyramid Using A Combination Of Non-Destructive Testing Techniques, Khalid Helal, Polina Pugacheva, Hussien Allam, Mohamed Fath-Elbab, Mohamed Sholqamy, Olga Popovych, Simon Schmid, Benedikt Maier, Alejandro Ramirez, Johannes Rupfle, Thomas Schumacher, Multiple Additional Authors

Civil and Environmental Engineering Faculty Publications and Presentations

The Menkaure Pyramid is the smallest of the three main pyramids on the Giza Plateau. Recently, the possibility of a second entrance to the Pyramid has been hypothesized by Van den Hoven [1], based on similarities between the polished granite blocks covering the Eastern face and the blocks around the main entrance on the Northern face. To test this hypothesis, measurement campaigns using three non-destructive techniques, Electrical Resistivity Tomography (ERT), Ground Penetrating Radar (GPR), and Ultrasonic Testing (UST), were carried out on the Eastern face of Menkaure Pyramid. ERT data was obtained from measurements of four long parallel profiles using …

Recovery Of Daily Water Levels In The Sacramento-San Joaquin Delta, 1915–2023, Serena B. Lee, Steven Dykstra, Reyna Gomez‐Sanchez, Cole Wilkenson, Ricardo Estrada, Nick Mcguire, David A. Jay, Stefan A. Talke

Civil and Environmental Engineering Faculty Publications and Presentations

This manuscript documents the data rescue, digitization, and quality assurance of archival daily maximum and minimum water levels at twenty-five sites within the Sacramento-San Joaquin Delta. The records encompass 1846 total unique years, where 915 years are newly digitized from the 1915–1985 era. The period of record for each gauge location varies from 40 to 109years (median=80 years). Quality assurance procedures and datum corrections were applied to both archival and digital records to generate a time series referenced to a common geocentric datum. Both riverine and coastal influences on mean sea level and great diurnal range are evident in the …

أحكام المسؤولية الجنائية وأجهزة الذكاء الاصطناعي, Fatmah Ali Al Dhanhani

Theses

The Criminal Liability Provisions of Artificial Intelligence (AI) Actions

This study aims to define the concept and levels of artificial intelligence (AI) to understand its legal nature, personality, and impact on criminal liability. It analyzes the current legal frameworks and examines existing legislation related to AI, assessing their ability to address issues concerning criminal responsibility for the actions of these systems. The study begins by defining the precise concept of criminal liability to understand how it can be applied in a technological environment. It then defines AI and explores its legal nature, to analyze current frameworks and how effectively they …

Adaptive Security Metric For Optimizing Post-Quantum Cryptography In Constrained Iot Devices, Aisha Nasser Ahmed

Theses

Quantum Computing poses real threat to Classical Public-Key Cryptography requiring the use of Post-Quantum Cryptography for all Internet of Things Devices. However, there are greater computational, memory and communication overheads in PQC algorithms that create additional burdens on resource constrained IoT devices. At this time, there are no standard measures for systems developers to determine optimal PQC settings for the various IoT Device Classes. This Thesis develops a new framework of metrics for determining the most suitable PQC settings based on Security Strength, Performance Indicators (Latency, Memory, Energy), Communication Overhead and Reliability for each IoT device class. The Research introduces …

Physicochemical And Structural Optimization Of Date (Phoenix Dactylifera L.) Syrup: Impact Of Extraction Temperatures And Pectin Addition, Afna Thaivalappil Abdul Asiz

Theses

This thesis focuses on the optimization of date (Phoenix dactylifera L.) syrup, an emerging natural sweetener rich in glucose, fructose, and bioactive compounds, by investigating how extraction temperature and pectin incorporation influence its physicochemical and structural properties. Therefore, the main objective of this study was to examine how extraction temperatures (25°C, 50°C, 75°C, and 90°C), and the incorporation of lowmethoxyl pectin (LMP, DE 31%) and high-methoxyl pectin (HMP, DE 85%) prior to concentration, affect the quality, stability, and functionality of date syrup. The results showed that increasing extraction temperatures increased the total soluble solids (16 °Brix at 25°C to …

Making Math Accessible: Addressing Language Challenges In 3rd Grade English Medium Math Classrooms, Salha Mohamad

Theses

The research article, Making Math Accessible: Addressing Language Difficulties in 3^rd Grade English Medium Math Classrooms, addresses the issue of how the teachers in UAE elementary schools assist a student who is to study mathematics in English rather than Arabic. In the School X, Grades 1 and 2 applied mathematics and science using the Ministry of Education (MOE) Arabic-medium curriculum. Since Grade 3, however, the school has used the American curriculum, so students are expected to study these subjects in English. This change brings major barriers in understanding basic mathematical terms, word problems, and instructions. The research applies …

Teaching Diffusion Models To Ground Alpha Matte, Tianyi Xiang, Weiying Zheng, Yutao Jiang, Tingrui Shen, Hewei Yu, Yangyang Xu, Shengfeng He

Research Collection School Of Computing and Information Systems

The power of visual language models is showcased in visual understanding tasks, where language-guided models achieve impressive flexibility and precision. In this paper, we ex tend this capability to the challenging domain of image matting by framing it as a soft grounding problem, enabling a single diffusion model to handle diverse objects, textures, and transparencies, all directed by descriptive text prompts. Our method teaches the diffusion model to ground alpha mattes by guiding it through a process of instance-level localization and transparency estimation. First, we introduce an intermediate objective that trains the model to accurately localize semantic components of the …

Stroke2sketch: Harnessing Stroke Attributes For Training-Free Sketch Generation, Rui Yang, Huining Li, Yiyi Long, Xiaojun Wu, Shengfeng He

Research Collection School Of Computing and Information Systems

Generating sketches guided by reference styles requires precise transfer of stroke attributes, such as line thickness, deformation, and texture sparsity, while preserving semantic structure and content fidelity. To this end, we propose Stroke2Sketch, a novel training-free framework that introduces cross-image stroke attention, a mechanism embedded within self-attention layers to establish fine-grained semantic correspondences and enable accurate stroke attribute transfer. This allows our method to adaptively integrate reference stroke characteristics into content images while maintaining structural integrity. Additionally, we develop adaptive contrast enhancement and semanticfocused attention to reinforce content preservation and foreground emphasis. Stroke2Sketch effectively synthesizes stylistically faithful sketches that closely …

Diffusionmat: Alpha Matting As Deterministic Sequential Refinement Learning, Yangyang Xu, Shengfeng He, Wenqi Shao, Yong Du, Kwan-Yee K. Wong, Yu Qiao, Jun Yu, Ping Luo

Research Collection School Of Computing and Information Systems

In this paper, we introduce DiffusionMat, a novel image matting framework that employs a diffusion model for the transition from coarse to refined alpha mattes. Diverging from conventional methods that utilize trimaps merely as loose guidance for alpha matte prediction, our approach treats image matting as a deterministic sequential refinement learning process. This process begins with the addition of noise to trimaps and iteratively denoises them using a pre-trained diffusion model, which incrementally guides the prediction towards a clean alpha matte. The key innovation of our framework is a correction module that adjusts the output at each denoising step, ensuring …

Advances In Iot, Ai, And Sensor‑Based Technologies For Disease Treatment, Health Promotion, Successful Ageing, And Ageing Well, Yuzhou Qian, Keng Siau

Research Collection School Of Computing and Information Systems

Recent advancements in the Internet of Things (IoT) and artificial intelligence (AI) are unlocking transformative opportunities across society. One of the most critical challenges addressed by these technologies is the ageing population, which presents mounting concerns for healthcare systems and quality of life worldwide. By supporting continuous monitoring, personal care, and data-driven decision-making, IoT and AI are shifting healthcare delivery from a reactive approach to a proactive one. This paper presents a comprehensive overview of IoT-based systems with a particular focus on the Internet of Healthcare Things (IoHT) and their integration with AI, referred to as the Artificial Intelligence of …

Polyqent: A Polynomial Quantified Entailment Solver, Krishnendu Chatterjee, Amir Kafshdar Goharshady, Ehsan Kafshdar Goharshady, Mehrdad Karrabi, Milad Saadat, Maximilian Seeliger, Dorde Zikelic

Research Collection School Of Computing and Information Systems

Polynomial quantified entailments with existentially and universally quantified variables arise in many problems of verification and program analysis. We present PolyQEnt which is a tool for solving polynomial quantified entailments in which variables on both sides of the implication are real valued or unbounded integers. Our tool provides a unified framework for polynomial quantified entailment problems that arise in several papers in the literature. Our experimental evaluation over a wide range of benchmarks shows the applicability of the tool as well as its benefits as opposed to simply using existing SMT solvers to solve such constraints.

Editor's Introduction, Michael D. Pante

Philippine Studies: Historical and Ethnographic Viewpoints

No abstract provided.

Addressing Climate Vulnerability And Policy Gaps Of Heat Waves In Upper Egypt: The Case Study Of Al-A’Qaab Village In Aswan, Eman Abdullah

Theses and Dissertations

Heatwaves are currently one of the most dangerous climate hazards globally. Egypt is experiencing an increase in the intensity and frequency of heatwaves, which affects health, economy, infrastructure, and the ecological system. Upper Egypt is one of the most vulnerable regions in Egypt to rising temperatures, particularly in Aswan Governorate. The risks of heat waves are increasing vulnerability among vulnerable groups, such as women and low-income individuals. However, there is a clear gap in protection policies against heat waves, along with a lack of studies examining the effects of heat waves on individuals in Aswan. Accordingly, this thesis aims to …

Laboratory Investigation Of High-Temperature Preformed Particle Gels For Fluid Control In Granite Cores For Geothermal Applications, K. Caleb Darko, Yanbo Liu, Thomas P. Schuman, Mingzhen Wei, Baojun Bai

Chemistry Faculty Research & Creative Works

To understand the applicability of high-temperature preformed particle gel (HT-PPG) for control of short-circuiting in enhanced geothermal systems (EGSs), core flooding experiments were conducted on fractured granite cores under varying fracture widths, gel particle sizes and swelling ratios. Key parameters such as injection pressure, water breakthrough pressure, and residual resistance factor were measured to evaluate HT-PPG performance. The gel exhibited strong injectability, entering granite fractures at pressure gradients as low as 0.656 MPa/m; HT-PPG yields a superior sealing performance by significantly reducing the permeability; and dehydration occurs during HT-PPG propagation, with a dehydration ratio ranging from 4.71% to 11.36%. This …