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Loma Linda Nurse - Vol. 33, Loma Linda University School Of Nursing

Loma Linda Nurse

FEATURES

4 | The Strategic Pillars of LLUSN

6 | Building Campaign Update

8 | Scholarship Opportunities

10 | Andreia Lofthouse: Assistant Dean of Student & Alumni Relations

LLUSN HIGHLIGHTS

12-17 | ALUMNI NEWS

18-27 | ACADEMICS

28-32 | HOMECOMING

33-35 | FACULTY UPDATES

An Iterative Shifting Disaggregation Algorithm For Multi-Source, Irregularly Sampled, And Overlapped Time Series, Colin O. Quinn, Ronald H. Brown, George F. Corliss, Richard J. Povinelli

Electrical and Computer Engineering Faculty Research and Publications

Accurate time series forecasting often requires higher temporal resolution than that provided by available data, such as when daily forecasts are needed from monthly data. Existing temporal disaggregation techniques, which typically handle only single, uniformly sampled time series, have limited applicability in real-world, multi-source scenarios. This paper introduces the Iterative Shifting Disaggregation (ISD) algorithm, designed to process and disaggregate time series derived from sensor-sourced low-frequency measurements, transforming multiple, nonuniformly sampled sensor data streams into a single, coherent high-frequency signal. ISD operates in an iterative, two-phase process: a prediction phase that uses multiple linear regression to generate high-frequency series from low-frequency …

Electronic Resources Updates - 2024 Q4, Brigitte Galauner, Gregg Harris

Electronic Resources Quarterly Updates

No abstract provided.

The Atlas Of Intercultural Communication: Navigating Conflict Resolution With Cultural Intelligence, Luz Marina Erturk

Department of Conflict Resolution Studies Theses and Dissertations

As universities become increasingly multicultural, intercultural communication is becoming an essential skill across campus roles. This study examined the role of cultural intelligence (CQ) in conflict resolution within university settings. Using a phenomenological approach, it explored how individuals in administrative, management, or counseling roles applied CQ in communication, negotiation, and conflict resolution. Twelve participants were interviewed, and data collection spanned five months. The study applied Earley and Ang’s four-factor model of CQ, which includes metacognitive, cognitive, motivational, and behavioral dimensions. The developmental model of intercultural sensitivity (DMIS) was also used to interpret how participants’ levels of intercultural sensitivity shaped their …

Llms Enhance Emotional Expression While Maintaining Analytical Depth In News Writing, Samuel Mazzone, Jonah Harlan, Larry Zhiming Xu, Terence T. Ow

Management Faculty Research and Publications

As the impact of generative artificial intelligence (GenAI) becomes increasingly evident in automated journalism, leveraging its potential while mitigating the risks becomes a priority in research. To address this need, our study evaluated the performance of large language models (LLMs) in news writing. We tested 11 LLMs by having them rewrite headlines and content from articles published by Milwaukee Neighborhood News Service (NNS) between 2011 and 2023. The analysis and comparison of 3,623 human-written and 39,853 AI-adapted news pieces showed that different LLMs consistently enhanced emotional expression in headlines (Cohen’s d = .33) and in news content (Cohen’s d = …

A Chaotic Life: Memoirs Of Stanley Krippner, Pioneering Humanistic Psychologist, By Stanley Krippner, Steven J. Hendlin

International Journal of Transpersonal Studies Advance Publication Archive

No abstract provided.

Ian Stevenson’S Rabih Elawar At 60: Past-Life Memory And Identity Formation Across The Lifespan, James G. Matlock, Khattar Hatoum, Carole Louie

International Journal of Transpersonal Studies Advance Publication Archive

Developmental psychology and psychiatry have not considered the effect the conviction that one has lived before as another person has on identity formation, yet past-life memories (PLMs) clearly can impact self-image and personality. Children and adults with PLMs are readily found in societies with reincarnation beliefs, such as the Druze of Lebanon, Israel, Syria, and Jordan. This report concerns the impact of PLMs on the personality development of a Lebanese Druze man, Rabih Elawar, whose childhood claims to have been a distant relative, Chowki Asaad Sabra Elawar, were studied by Ian Stevenson between 1969 and 1978. At 58–60 years in …

The Birth Of The Franchised Dealer Model, Daniel A. Crane

Book Chapters

Chapter 1 traces the history of the franchise dealer model of car distribution, from the early wild west days of the internal combustion automobile to the political confrontations between Detroit’s Big Three and the “mom and pop” car dealers during the mid-twentieth century. The chapter examines the thinking of legendary management figures such as Henry Ford and Alfred P. Sloan, explains the dealer protection rationale behind state franchise dealer laws, and shows how the legacy car companies largely acquiesced in those laws until Tesla’s entry onto the scene.

Blood Quantum And The Auto-Colonization Of The Michigan Anishinaabek, Matthew L.M. Fletcher

Book Chapters

Anishinaabe storyteller Basil Johnston described the chronological path of life in four stages, what he called the four hills of life. The first stage, linked to the East, is infancy and early childhood, a time of preparation and listening. The second stage, linked to the South, is youth, a time of doing things. The third stage, linked to the West, is adulthood, a time of vision. The fourth stage, linked to the North, is Old Age, a time of the fulfillment of the vision and a time of sacred learning and teaching.

The twelve Michigan Anishinaabek tribal nations are in …

Social Data's Role In Law And Political Economy, Salome Viljoen

Book Chapters

Over the past several years, the digital economy has been a notable uptick in interest from scholars across areas of law. This should come as no surprise. The digital economy encompasses some of the largest companies in the world, whose business models pioneer and spread new strategies to concentrate private power across the political economy more broadly. Digital companies have transformed commercial and social life, and they raise problems of concentrated private power. They are also charged with a slew of downstream disruptions resulting from collective pursuit of that power: global, social, and interpersonal forms of dislocation, oppression, impoverishment, alienation, …

Towards Secure Runtime Auditing Of Remote Embedded System Software, Adam Ilyas Caulfield

Theses

Modern embedded systems are increasingly deployed in various settings to execute critical sensing/actuation tasks. At the lower end of the scale, they are designed with low-cost and energy-efficient microcontroller units (MCUs) that lack the common security features of general-purpose processors. To assess their state in a cost-effective manner, Control Flow Attestation (CFA) methods provide means for a trusted device operator (i.e., the Verifier -- Vrf) to detect attacks that compromise the integrity or runtime behavior of a remotely-deployed MCU (i.e., the Prover -- Prv). This is achieved by a root-of-trust (RoT) in Prv recording an authenticated trace (CFLog) of the …

Automated Prioritization And Routing Of It Support Tickets Using Machine Learning, Mohamed Almarzooqi

Theses

The increasing complexity of IT service management underscores the need for efficient and scalable solutions to manage IT tickets. This thesis explores the application of machine learning techniques for automated prioritization & routing of IT tickets. So by leveraging publicly available dataset from Kaggle containing IT ticket the study aims to reduce manual intervention, improve resolution times, & optimize resource allocation within IT environments. The study will evaluate various machine learning algorithms, including SVM, Random Forest, & ensemble models, for their ability to classify and prioritize tickets accurately. to accurately classify and prioritize tickets. Advanced data preprocessing techniques like TF-IDF …

Neuro-Evolution For Multivariate Time Series Anomaly Detection, Aryan Jha

Theses

Given the exponential growth of data in various sectors, the timely identification of anomalies has become crucial in mitigating risks such as financial losses and data breaches. This research focuses on advancing multivariate time series anomaly detection through the innovative application of neuro-evolutionary methods. Utilizing the Evolutionary eXploration of Augmenting Memory Models (EXAMM) algorithm, the study automates the design and optimization of Long Short-Term Memory (LSTM) autoencoder networks, enabling enhanced forecasting capabilities in recurrent neural network architectures. Leveraging these networks along with a One-Class Support Vector Machine (OCSVM) to generate boundary thresholds, this project delivers a robust and scalable procedure …

Uncertainty-Aware Meta-Learning For Learning From Limited Data, Deep Shankar Pandey

Theses

Deep Learning (DL) models have achieved great success in large data fields ranging from computer vision and natural language processing to digital arts and robotics. However, the effectiveness of the DL models is challenged by many real-world limited data problems (e.g., medicine, healthcare, and security intelligence) where data for model training is scarce. Unlike DL models, humans can use the prior knowledge stored in their brains to quickly learn new tasks with limited data. Inspired by such human learning, various meta-learning models have been developed that aim to address the challenge of learning from limited data. However, existing models are …

Domain-Specific Customization For Improving Speech To Text, Zubin Mario Tobias

Theses

The advent of transformer-based models has revolutionized natural language processing, bringing remarkable improvements in tasks like automatic speech recognition (ASR). Inspired by these advancements, this thesis explores the optimization of a transformer-based ASR model to improve transcription accuracy in educational settings, particularly for lecture content. The goal of this research is to provide real-time, high-accuracy captions that enhance accessibility for all students, while offering a cost-effective solution for educators. To assess the potential of domain-specific fine-tuning, Whisper-small underwent two phases of fine-tuning. In the first phase, it was finetuned on care- fully selected, publicly available datasets: SpeechColab’s Gigaspeech-XS [39], AMI …

Using Generative Models For Data Augmentation In Medical Imaging, Nilesh Kumar

Theses

Obtaining large amounts of labelled data in medical imaging is hindered by issues like privacy and cost, therefore limiting the gains that can be achieved from Deep Neural Networks (DNNs). A lot of work has shown data augmentation to be an effective strategy for expanding training data leading to more robust models. However, the lack of data is not always uniform across datasets e.g., some classes in a dataset may be underrepresented. This is particularly problematic because the overall good performance of a model on a dataset can easily mask the under-performance of underrepresented classes or instances. Naively employing data …

The Table, Ruichu Yu

Theses

This thesis explores the relationship between identity formation, emotional rupture, and social performance through the symbolic framework of the dining table to examine how everyday rituals shape and destabilize the self. Beginning with a personal history of crafting prosthetic ears at the request of the artist’s otologist father, the project emerges from an initial desire to heal others and confronts the emotional weight of restoration. As the work evolves, this act of repair becomes a catalyst for the artist’s own confrontation with psychological fragmentation, shifting the focus from medical mending to the deconstruction of selfhood. Drawing on theories of performativity …

Predicting Bus Ridership In Dubai Using Advanced Machine Learning Models, Fatma Almheiri

Theses

In rapidly urbanizing cities, the public transport systems have to be efficient and reliable with proper demand forecasting to guarantee customer satisfaction. This paper explores how evidence-based machine learning tools can be used to forecast weekly bus ridership in Dubai, using a dataset of more than 10 million trip-level boarding observations between June 2013 and July 2014. It was aggregated to 25,195 route-week observations, and preprocessed with temporal feature engineering, lag variables and rolling statistics. Three predictive models have been tested: Linear Regression (as a baseline), Random Forest and XGBoost (as an ensemble method). Mean Absolute Error (MAE), Root Mean …

Aqualoop (The Four Stages Of Earth's Water Cycle), Precious Onwubuche

Theses

This research investigates the development of an educational initiative that illustrates the water cycle using real-life simulations and moving graphics targeting high school students and older audiences to connect theoretical knowledge with hands-on learning in Earth science education. The initiative utilises visual design strategies to turn intricate hydrological processes into an engaging educational journey. The significance of this project is underscored by statistics showing that fewer than 30 percent of secondary school students master Earth science principles, such as the water cycle. This is based on 2019 information from the National Assessment of Educational Progress (NAEP). Additionally, and notably, more …

Internet Of Things (Iot) In Developing Smart City Traffic Management Systems In Dubai, Ayesha Ahmed Alnuaimi

Theses

Traffic congestion is an ever-present problem affecting most cities, negatively affecting the economy, the environment, and people’s quality of life. Dubai is one of the rapidly growing cities in terms of urbanization and the usage of technologies, and it is aware of the ability of IoT to design intelligent city traffic control systems to resolve this problem. Consequently, this study sought to assess the implication of IoT in improving traffic management systems within the Emirate of Dubai, gleaning data concerning the factors that have a direct impact on the implementation of the IoT, the challenges, and barriers met during the …

Surveillance Report​: Che-Wei Hsu​, Che-Wei Hsu

Theses

Face ID: A Surveil of Che-Wei Hsu is a lens based artistic investigation and experience into the nature of surveillance in modern society. Through performance, photography, and installation, my work explores the dynamics between being watched and watching, questioning how surveillance influences human behavior and identity. In my art practice, I think about the behavior that people would not do in front of other people or violate the social norm and perform in the public as a way to experience how surveillance influences how we act in the public, for example eating a sandwich on the ladder in front of …

Proper Conjugation Of Bodies: Chastity, Age, And Care Work In Sri Lankan Migrants’ Families, Michele Ruth Gamburd

Anthropology Faculty Publications and Presentations

Physical and symbolic aspects of bodies limit the migration trajectories of female domestic workers from a Buddhist community in coastal Sri Lanka. Government regulations and family decisions regarding women’s overseas labour draw upon and in turn influence discourses about gender, sexuality, age, health, and class. This ethnographic analysis illustrates that local norms task women with nurturing the brains of babies, preserving the chastity of teenage daughters, caring for frail elders, and preventing their working-class husbands from overindulging in liquor or having sex with other women. Successful social reproduction depends on the proper conjunctions of bodies in the extended family. Corporeal …

I Love That Country, That’S Why I Go There: Enduring Kiana Village Ties To Kobuk Valley National Park, Douglas Deur, Jamie Hebert, Emily Creek, Tricia Brown, Hannah Atkinson, Knowledge-Holders Of Kiana, Alaska, Christina Westlake

Anthropology Faculty Publications and Presentations

North of the Arctic Circle in far northwestern Alaska, Kobuk Valley National Park is a remote, roadless protected area transected by the Kobuk River—one of the northernmost salmon-bearing rivers in North America. Characterized by tundra, taiga, and the dramatic 25-square-mile Great Kobuk Sand Dunes, the park serves as a critical pathway for nearly half a million migrating caribou. Significant archaeological sites have been documented along the Kobuk River, demonstrating thousands of years of human settlement, fishing, caribou hunting, and many other cultural activities. At the time of European contact, and into the early 20th century, there were still Iñupiaq “Eskimo” …

A Thousand Weddings: The Memoir Of Hope Hart Of West Tennessee

Jackson Purchase Historical Society Journal Archive

A Thousand Weddings: The Memoir of Hope Hart of West Tennessee

Edited by Marvin Downing

Advances In Conductive Polymer-Based Flexible Electronics For Multifunctional Applications, Md Abdus Shahid, Md Mostafizur Rahman, Md Tanvir Hossain, Imam Hossain, Md Sohan Sheikh, Md Sunjidur Rahman, Nasir Uddin, Scott W. Donne, Md Ikram Ul Hoque

Michigan Tech Publications

The rapid developments in conductive polymers with flexible electronics over the past years have generated noteworthy attention among researchers and entrepreneurs. Conductive polymers have the distinctive capacity to conduct electricity while still maintaining the lightweight, flexible, and versatile characteristics of polymers. They are crucial for the creation of flexible electronics or gadgets that can stretch, bend, and adapt to different surfaces have sparked momentous interest in electronics, energy storage, sensors, smart textiles, and biomedical applications. This review article offers a comprehensive overview of recent advancements in conductive polymers over the last 15 years, including a bibliometric analysis. The properties of …

Understanding The Influence Of Image Enhancement On Underwater Object Detection: A Quantitative And Qualitative Study, Ashraf Saleem, Ali Awad, Sidike Paheding, Evan Lucas, Timothy C. Havens, Peter C. Esselman

Michigan Tech Publications

Underwater image enhancement is often perceived as a disadvantageous process to object detection. We propose a novel analysis of the interactions between enhancement and detection, elaborating on the potential of enhancement to improve detection. In particular, we evaluate object detection performance for each individual image rather than across the entire set to allow a direct performance comparison of each image before and after enhancement. This approach enables the generation of unique queries to identify the outperforming and underperforming enhanced images compared to the original images. To accomplish this, we first produce enhanced image sets of the original images using recent …

Great Lakes Wave Height Trends, Erv Kraft, Brian Barkdoll

Michigan Tech Publications

With the advent of the industrial revolution, greenhouse gases have been emitted into the atmosphere causing the alteration of weather across the globe. These gases have caused the global temperature to warm. This has also caused a change in precipitation, wind speeds, and wave heights. The Great Lakes have many cities located on their shores and millions of people are affected by waves. Effects include shoreline erosion, infrastructure damage, and loss of valuable property and lives. It is imperative to future planning and engineering that the trends of wave height are understood. This study uses linear regression, a well-known and …

A Transferable Approach For Quantifying Benthic Fish Sizes And Densities In Annotated Underwater Images, Peter C. Esselman, Shadi Moradi, Joseph K. Geisz, Christopher Roussi

Michigan Tech Publications

Benthic fishes are a common target of scientific monitoring but are difficult to quantify because of their close association to bottom habitats that are hard to access. Advances in image-acquisition technologies, machine vision and deep learning have made capturing and quantifying fishes with cameras increasingly feasible. We present a method and open-source software called ‘FishScale’ to estimate benthic fish lengths, numeric abundance and biomass density in underwater environments assessed with down-looking monocular images. ‘FishScale’ estimates fish abundances and size frequencies from near-nadir monocular images where fish have already been semantically segmented. The software accounts for lens distortion, underwater magnification effects …

Inventing Birthright: The Nineteenth-Century Fabrication Of Jus Soli And Jus Sanguinis, Sam Erman, Nathan Perl-Rosenthal

Articles

Formal membership in a state has been an essential political status for well over a century. It is typically gained at birth, either jus soli or jus sanguinis. Jus soli assigns nationality by birth in a nation's territory; jus sanguinis assigns children their parents’ nationality. This article provides an alternative intellectual history of the modern dominance of these principles for attributing nationality. Contrary to prior scholarship, soli and sanguinis were not restatements of existing principles. The soli/sanguinis binary was a nineteenth-century invention. Old-regime European empires attributed membership in the community under one or another single natural law principle. Parentage and …

Labor Law, Ownership, And The Firm, Sanjukta Paul

Articles

In shaping economic coordination within and across both firms and markets, one significant action of law is to allocate privileges or rights between people or groups of people. These include the right to coordinate with other people or groups of people in particular ways regarding core economic decisions-a type of activity that is not always or in all circumstances legally permissible. An area that makes this more general action of law especially concrete is antitrust or competition law, with its collection of "exemptions." Antitrust's formal and informal exemptions quite directly allocate economic coordination rights, for particular kinds of activity, and …