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

Digital Commons Network™

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

San Jose State University

Discipline
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 421 - 450 of 18466

Full-Text Articles in Entire DC Network

Advancing The Upper Class E Traffic Management (Etm) Concept: Results Of Nasa’S First Etm Collaborative Evaluation With Industry Partners, Deborah L. Bakowski, Connie L. Brasil, Kevin Christian Garzon Galindo, Abhinay Tiwari, Paul U. Lee, Conrad Dang-Gabriel, Jeffrey Homola, Mark Evans Jul 2025

Advancing The Upper Class E Traffic Management (Etm) Concept: Results Of Nasa’S First Etm Collaborative Evaluation With Industry Partners, Deborah L. Bakowski, Connie L. Brasil, Kevin Christian Garzon Galindo, Abhinay Tiwari, Paul U. Lee, Conrad Dang-Gabriel, Jeffrey Homola, Mark Evans

Faculty Research, Scholarly, and Creative Activity

Innovative aircraft design and emerging technologies are enabling new types of uncrewed, high-altitude long endurance (HALE) vehicles, including fixed-wing HALE vehicles and stratospheric balloons to operate above 60,000 feet. However, due to a variety of factors including the diverse performance characteristics and extended mission duration of these new vehicles, the Air Traffic Management system faces challenges in meeting the needs of this high-altitude environment. To address these challenges, the Higher Airspace (HA)/Upper Class E Traffic Management (ETM) concept proposes using a scalable, cooperative approach tailored for high-altitude operations. To evaluate the feasibility of the HA/ETM concept, NASA Ames Research Center …

Go to article

Euler’S Formula For General Graph Embeddings, Doug Bauer, Linda Lesniak, Edward Schmeichel Jul 2025

Euler’S Formula For General Graph Embeddings, Doug Bauer, Linda Lesniak, Edward Schmeichel

Faculty Research, Scholarly, and Creative Activity

Consider an embedding of a graph G(v,e) with v≥1 vertices and e≥0 edges into a closed surface s, with r resulting regions. If G is connected and every region is a 2-cell (a so-called 2-cell embedding), Euler’s formula is the relation v−e+r=χ(s), where χ(s) denotes the Euler characteristic of s. Here we give a generalization of Euler’s formula which applies to any embedding (2-cell or not) of any graph (connected or not) into any surface (orientable or not), with several interesting corollaries. One rather striking corollary is the converse of Euler’s formula itself: If an embedding of a graph G(v,e) …

Go to article

Navigating Multiple Virtual Teams: How Variety In Communication Rules Affects Knowledge Sharing, Valerio Incerti, Kelly J. Fadel, Elisa Mattarelli, Fabiola Bertolotti, Francesca Bellesia, Paula Ungureanu, Katherine M. Chudoba Jul 2025

Navigating Multiple Virtual Teams: How Variety In Communication Rules Affects Knowledge Sharing, Valerio Incerti, Kelly J. Fadel, Elisa Mattarelli, Fabiola Bertolotti, Francesca Bellesia, Paula Ungureanu, Katherine M. Chudoba

Faculty Research, Scholarly, and Creative Activity

In contemporary workplaces, individuals are often members of more than one virtual team at a time, that is, they experience multiple virtual team membership (MVTM), and they are subjected to context variety due to different rules across their teams. The aim of this paper is to understand the relationship between context variety related to communication rules and knowledge sharing in situations of MVTM. We propose that context variety and switching between teams negatively affect the individual capability to acquire and provide knowledge resources in a team, due in part to an increased perception of role overload. Through an experimental study, …

Go to article

An Ambient Nox Reduction Reactor System With And Without Forced Air, Hamid Rahai, Rylan Moffit, Komal Gada, Jeremy Bonifacio Jul 2025

An Ambient Nox Reduction Reactor System With And Without Forced Air, Hamid Rahai, Rylan Moffit, Komal Gada, Jeremy Bonifacio

Mineta Transportation Institute

Ambient nitrogen oxide (NOX) is one of the main ingredients involved in the formation of ground-level ozone (smog), which contributes to global warming and the formation of particulates in the atmosphere and causes respiratory illnesses, especially in children, older adults, and people with lung diseases. Investigations on adding titanium dioxide (TiO2) nanoparticles to the paint used on concrete surfaces such as buildings and its potential in reducing ambient NOX concentration have provided opportunities for the research and development of methods for passive control and filtration of the ambient NOX. The present research used numerical geometrical optimization to identify an optimized …

Go to article

Quantifying Marine Carbon Dioxide Removal Via Alkalinity Enhancement Across Circulation Regimes Using Ecco-Darwin And 1d Models, Kay Suselj, Dustin Carroll, Daniel Whitt, Bridget Samuels, Dimitris Menemenlis, Hong Zhang, Nate Beatty, Anna Savage Jul 2025

Quantifying Marine Carbon Dioxide Removal Via Alkalinity Enhancement Across Circulation Regimes Using Ecco-Darwin And 1d Models, Kay Suselj, Dustin Carroll, Daniel Whitt, Bridget Samuels, Dimitris Menemenlis, Hong Zhang, Nate Beatty, Anna Savage

Faculty Research, Scholarly, and Creative Activity

Ocean Alkalinity Enhancement (OAE) is emerging as a viable method for removing anthropogenic (Formula presented.) emissions from the atmosphere to mitigate climate change. To achieve substantial carbon reductions, OAE would need to be deployed at scale across the global ocean. Hence, there is a need to quantify how the efficiency of OAE varies globally across a range of space-time scales in preparation for field deployments. Here we develop a marine carbon dioxide removal (mCDR) efficiency evaluation framework based on the data-assimilative ECCO-Darwin ocean biogeochemistry model, which separates and quantifies two key factors over seasonal to multi-annual timescales: (a) mCDR potential, …

Go to article

Hydrogen Fuel Cell Application For Port Drayage Truck: Integrated Transportation And Energy Modeling, Shams Tanvir, Emu Ghosh Jul 2025

Hydrogen Fuel Cell Application For Port Drayage Truck: Integrated Transportation And Energy Modeling, Shams Tanvir, Emu Ghosh

Mineta Transportation Institute

This report investigates the viability of hydrogen Fuel Cell Electric Vehicles (FCEVs) for port drayage applications, focusing on both energy modeling and economic feasibility. Port drayage—trucking operations that move goods a short distance to and from ports—is a key part of freight logistics and the critical movement of goods in American communities. This project developed a microscopic energy consumption model using second-by-second activity data from 38 Class 8 diesel drayage trucks operating in Southern California. The model emulated FCEV operations and determined an average hydrogen fuel consumption of 0.15 kg/mile across 749 trips. This data informed a levelized cost of …

Go to article

Explainable Use Of Foundation Models For Job Hiring, Vishnu S. Pendyala, Neha Bais Thakur, Radhika Agarwal Jul 2025

Explainable Use Of Foundation Models For Job Hiring, Vishnu S. Pendyala, Neha Bais Thakur, Radhika Agarwal

Faculty Research, Scholarly, and Creative Activity

Automating candidate shortlisting is a non-trivial task that stands to benefit substantially from advances in artificial intelligence. We evaluate a suite of foundation models such as Llama 2, Llama 3, Mixtral, Gemma-2b, Gemma-7b, Phi-3 Small, Phi-3 Mini, Zephyr, and Mistral-7b for their ability to predict hiring outcomes in both zero-shot and few-shot settings. Using only features extracted from applicants’ submissions, these models, on average, achieved an AUC above 0.5 in zero-shot settings. Providing a few examples similar to the job applicants based on a nearest neighbor search improved the prediction rate marginally, indicating that the models perform competently even without …

Go to article

Effect Of Tai Chi Practice On The Adaptation To Sensory And Motor Perturbations While Standing In Older Adults, Arion Dey, Huiyeong Chang, Laila Shaaban, Armaan Suga, Genavieve Braden, Andres Bustamante, Jisang Park, Shenhua Zhang, Yang Hu, Manuel E. Hernandez Jul 2025

Effect Of Tai Chi Practice On The Adaptation To Sensory And Motor Perturbations While Standing In Older Adults, Arion Dey, Huiyeong Chang, Laila Shaaban, Armaan Suga, Genavieve Braden, Andres Bustamante, Jisang Park, Shenhua Zhang, Yang Hu, Manuel E. Hernandez

Faculty Research, Scholarly, and Creative Activity

Tai Chi provides an age-appropriate exercise to decrease fall risks in older adults. However, the exact mechanism underlying the benefits of Tai Chi practice remains an open question. Thus, this study examined how aging and Tai Chi practice impact adaptation to sensory and motor perturbations while standing. We hypothesized that older Tai Chi practitioners would exhibit a decreased reliance on visual processes as sensory and motor perturbations increased, relative to naive healthy older adults. Using rambling and trembling decompositions of the center of pressure (COP) and frequency-domain features, we examined changes in low (0–0.3 Hz), medium (0.3–1 Hz), and high …

Go to article

The Impact Of Artificial Intelligence On Ecojustice And Ethics, Vishnu S. Pendyala Jun 2025

The Impact Of Artificial Intelligence On Ecojustice And Ethics, Vishnu S. Pendyala

Faculty Research, Scholarly, and Creative Activity

Artificial Intelligence (AI) has attained human-level performance in tasks like text summarization, machine translation, and code generation while handling multimodal data. Despite these advances, AI poses challenges such as generating false or biased outputs, causing discrimination, and exhibiting opaque decision-making processes that hinder bias mitigation. Additionally, training large language models (LLMs) for AI consumes substantial energy and can enable autonomous warfare, posing a threat to eco-justice, and raising sustainability concerns. Their ability to create realistic content poses the risk of misuse and perpetuating misinformation. This article addresses these ethical issues and presents solutions through regulation and technology, with examples of …

Go to article

Orientation-Independent Bubble Trap With Internal Partition For Robust Operation Of Microfluidic Systems, Bhavagyna Vegunta, Charmaine Lui, Max Kim, Joshua Tran, Maya Papez, Anand K. Ramasubramanian, Sang Joon John Lee Jun 2025

Orientation-Independent Bubble Trap With Internal Partition For Robust Operation Of Microfluidic Systems, Bhavagyna Vegunta, Charmaine Lui, Max Kim, Joshua Tran, Maya Papez, Anand K. Ramasubramanian, Sang Joon John Lee

Faculty Research, Scholarly, and Creative Activity

A new monolithic bubble trap has been developed with a unique, orientation-independent design. The bubble trap has a spherical cavity and a central partition with internal passages that eliminate air bubbles effectively for extended periods of time. Flow testing was performed in a closed-loop microfluidic system to demonstrate effectiveness and robustness of the bubble trap. Flow rate was continually monitored on a stationary benchtop and also in simulated microgravity conditions on a 3-D random positioning machine. Data collected from flow sensors placed fore and aft of the bubble trap confirmed that randomly occurring bubbles were effectively eliminated by the trap …

Go to article

Potential Of Co2 Sequestration Through Accelerated Weathering Of Limestone On Ships, Sijia Dong, William M. Berelson, Pierre Forin, Melissa Gutierrez, Dustin Carroll, Dimitris Menemenlis, Albert Y. Kyi, Jess F. Adkins Jun 2025

Potential Of Co2 Sequestration Through Accelerated Weathering Of Limestone On Ships, Sijia Dong, William M. Berelson, Pierre Forin, Melissa Gutierrez, Dustin Carroll, Dimitris Menemenlis, Albert Y. Kyi, Jess F. Adkins

Faculty Research, Scholarly, and Creative Activity

Calcium carbonate dissolution is the dominant negative feedback in the ocean for neutralizing the acidity from rising atmospheric carbon dioxide. Mimicking this natural process, the accelerated weathering of limestone (AWL) can store carbon as bicarbonate in the ocean for tens of thousands of years. Here, we evaluate the potential of AWL on ships as a carbon sequestration approach. We show a successful prediction of laboratory measurements using a model that includes the most recent calcite dissolution kinetics in seawater. When simulated along a Pacific shipping lane in the Estimating the Circulation and Climate of the Ocean–Darwin ocean–general circulation model, surface …

Go to article

Candidate Dark Galaxy-2: Validation And Analysis Of An Almost Dark Galaxy In The Perseus Cluster, Dayi Li, Qing Liu, Gwendolyn M. Eadie, Roberto G. Abraham, Francine R. Marleau, William E. Harris, Pieter Van Dokkum, Aaron J. Romanowsky, Shany Danieli, Patrick E. Brown, Alex Stringer Jun 2025

Candidate Dark Galaxy-2: Validation And Analysis Of An Almost Dark Galaxy In The Perseus Cluster, Dayi Li, Qing Liu, Gwendolyn M. Eadie, Roberto G. Abraham, Francine R. Marleau, William E. Harris, Pieter Van Dokkum, Aaron J. Romanowsky, Shany Danieli, Patrick E. Brown, Alex Stringer

Faculty Research, Scholarly, and Creative Activity

Candidate Dark Galaxy-2 (CDG-2) is a potential dark galaxy consisting of four globular clusters (GCs) in the Perseus cluster, first identified in D. Li et al. through a sophisticated statistical method. The method searched for overdensities of GCs from a Hubble Space Telescope (HST) survey targeting Perseus. Using the same HST images and new imaging data from the Euclid survey, we report the detection of extremely faint but significant diffuse emission around the four GCs of CDG-2. We thus have exceptionally strong evidence that CDG-2 is a galaxy. This is the first galaxy detected purely through its GC population. Under …

Go to article

Surface-Bound Fxiii Enhances Deposition And Straightness Of Fibrin Fibers, Myra Awan, Maya Papez, Ankita P. Walvekar, Sang Joon J. Lee, Kinjal Dasbiswas, Anand K. Ramasubramanian Jun 2025

Surface-Bound Fxiii Enhances Deposition And Straightness Of Fibrin Fibers, Myra Awan, Maya Papez, Ankita P. Walvekar, Sang Joon J. Lee, Kinjal Dasbiswas, Anand K. Ramasubramanian

Faculty Research, Scholarly, and Creative Activity

Cross-linked fibrous networks are central to maintaining the structural integrity and functional relevance of many biological and engineered materials. Fibrin networks are the building blocks of blood clots, mediators of tissue injury and repair, and synthetic wound sealants. Cross-linking of fibrin fibers is catalyzed by the activated form of transglutaminase enzyme FXIIIa, which becomes available in plasma but is also readily presented on the surface of activated platelets and macrophages. The contribution of surface-bound FXIIIa to fibrin structure has not been well understood. In this work, we investigated the role of surface-bound FXIIIa on the formation and structure of fibrin …

Go to article

Large Language Models For Quantitative Analysis Of Statutory Stringency And Its Correlation With Sexual Assault Crime Rates, Samhita Konduri, Vishnu S. Pendyala Jun 2025

Large Language Models For Quantitative Analysis Of Statutory Stringency And Its Correlation With Sexual Assault Crime Rates, Samhita Konduri, Vishnu S. Pendyala

Faculty Research, Scholarly, and Creative Activity

Sexual assault (SA) crimes are among the most important issues for our current society to solve, with these crimes in particular having long-term consequences on victims and their communities. To solve this issue, one approach is to make laws and penalties for these crimes stricter. However, there have not been any studies on the relationship between stricter penalties and lower crime rates, especially about SA crimes, in a quantitative manner. The biggest barrier to conducting a quantitative study on the strictness of laws and statutes is the lack of a standardized measure of how strict a legal text is. This …

Go to article

Global Tracking Of Marine Megafauna Space Use Reveals How To Achieve Conservation Targets, Ana M.M. Sequeira, Jorge P. Rodríguez, Sarah A. Marley, Hannah J. Calich, Mirjam Van Der Mheen, Michelle Vancompernolle, Lucy M. Arrowsmith, Lauren R. Peel, Nuno Queiroz, Marisa Vedor, Ivo Da Costa, Gonzalo Mucientes, Ana Couto, Nicolas E. Humphries, Sara Abalo-Morla, Scott R. Benson, Scott A. Shaffer, For Full Author List, See Comments Below Jun 2025

Global Tracking Of Marine Megafauna Space Use Reveals How To Achieve Conservation Targets, Ana M.M. Sequeira, Jorge P. Rodríguez, Sarah A. Marley, Hannah J. Calich, Mirjam Van Der Mheen, Michelle Vancompernolle, Lucy M. Arrowsmith, Lauren R. Peel, Nuno Queiroz, Marisa Vedor, Ivo Da Costa, Gonzalo Mucientes, Ana Couto, Nicolas E. Humphries, Sara Abalo-Morla, Scott R. Benson, Scott A. Shaffer, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

The recent Kunming-Montreal Global Biodiversity Framework (GBF) sets ambitious goals but no clear pathway for how zero loss of important biodiversity areas and halting human-induced extinction of threatened species will be achieved. We assembled a multi-taxa tracking dataset (11 million geopositions from 15,845 tracked individuals across 121 species) to provide a global assessment of space use of highly mobile marine megafauna, showing that 63% of the area that they cover is used 80% of the time as important migratory corridors or residence areas. The GBF 30% threshold (Target 3) will be insufficient for marine megafauna’s effective conservation, leaving important areas …

Go to article

Unraveling The Enigma Of Classification Of Synthetic And Genuine Information Using Machine Learning And Explainable Ai, Vishnu S. Pendyala Jun 2025

Unraveling The Enigma Of Classification Of Synthetic And Genuine Information Using Machine Learning And Explainable Ai, Vishnu S. Pendyala

Faculty Research, Scholarly, and Creative Activity

There is a preponderance of AI-generated text everywhere today. Literature shows that there has been considerable success in detecting such text. This paper uses explainable AI (XAI) techniques to get insights into the workings of the machine learning models used to classify synthetic text. In detecting such text, this work analyzes synthetic and genuine information from visualization and explainability perspectives. The text is converted into vector embeddings using Robustly Optimized BERT Pretraining Approach (RoBERTa). Variational Autoencoders (VAEs) are used for visualization and Support Vector Machine (SVM) is used for classification. Local Interpretable Model-Agnostic Explanations (LIME), SHapley Additive exPlanations (SHAP), and …

Go to article

Sunrise At The Salton Sea: Environmental Justice, Land Use Change, And Hydrosocial Dynamics Of Solar Energy Transitions In The Imperial Valley, California, Dustin Mulvaney, James J.A. Blair, Alida Cantor Jun 2025

Sunrise At The Salton Sea: Environmental Justice, Land Use Change, And Hydrosocial Dynamics Of Solar Energy Transitions In The Imperial Valley, California, Dustin Mulvaney, James J.A. Blair, Alida Cantor

Faculty Research, Scholarly, and Creative Activity

California's Imperial Valley, with lithium-rich geothermal brines, extensive flat agricultural fields with abundant desert sunshine, and access to transmission lines, is a leading case to explore interconnected themes around just energy transitions. Despite being the poorest county in California and one of the smallest, Imperial already provides 15% of the state’s solar electricity, and the region as a whole represents on the order of 25% of the state’s electric power capacity. This paper brings to light frictions over solar energy development that have emerged over the history of solar power development in the southern Salton Sea region. It describes the …

Go to article

Addressing Urban Traffic Congestion: A Deep Reinforcement Learning-Based Approach, Tairan Liu Jun 2025

Addressing Urban Traffic Congestion: A Deep Reinforcement Learning-Based Approach, Tairan Liu

Mineta Transportation Institute

In an innovative venture, the research team embarked on a mission to redefine urban traffic flow by introducing an automated way to manage traffic light timings. This project integrates two critical technologies, Deep Q-Networks (DQN) and Auto-encoders, into reinforcement learning, with the goal of making traffic smoother and reducing the all-too-common road congestion in simulated city environments. Deep Q-Networks (DQN) are a form of reinforcement learning algorithms that learns the best actions to take in various situations through trial and error. Auto-encoders, on the other hand, are tools that help simplify complex data, making it easier for the DQN to …

Go to article

Strategized Reduction Of Greenhouse Gas Emissions Through Predicting And Extending The Service Life Of Concrete Pavements And Bridges, Fariborz M. Tehrani Jun 2025

Strategized Reduction Of Greenhouse Gas Emissions Through Predicting And Extending The Service Life Of Concrete Pavements And Bridges, Fariborz M. Tehrani

Mineta Transportation Institute

Strong, durable concrete is key to resilient, long-lasting transportation infrastructure—especially in the face of climate change. This project explores innovative strategies for predicting and enhancing the service life of concrete in pavement and bridge systems, addressing the pressing need for sustainable transportation infrastructure. As concrete is pivotal to the durability and resilience of such structures, its environmental impact demands urgent attention. This project aims to reduce greenhouse gas emissions throughout their lifecycle by extending the service life of concrete pavements and bridge decks. A significant focus of the research is on the indications of chloride ion penetration in concrete, which …

Go to article

Holotomographic Microscopy Reveals Label-Free Quantitative Dynamics Of Endothelial Cells During Endothelialization, William D. Leineweber, Gabriela Acevedo Munares, Christian Leycam, Raul Michael, Juliette Noyer, Patrick Jurney Jun 2025

Holotomographic Microscopy Reveals Label-Free Quantitative Dynamics Of Endothelial Cells During Endothelialization, William D. Leineweber, Gabriela Acevedo Munares, Christian Leycam, Raul Michael, Juliette Noyer, Patrick Jurney

Faculty Research, Scholarly, and Creative Activity

Holotomograhic microscopy (HTM) has emerged as a non-invasive imaging technique that offers high-resolution, quantitative 3D imaging of biological samples. This study explores the application of HTM in examining endothelial cells (ECs). HTM overcomes the limitations of traditional microscopy methods in capturing the real-time dynamics of ECs by leveraging the refractive index (RI) to map 3D distributions label-free. This work demonstrates the utility of HTM in visualizing key cellular processes during endothelialization, wherein ECs anchor, adhere, migrate, and proliferate. Leveraging the high resolution and quantitative power of HTM, we show that lipid droplets and mitochondria are readily visualized, enabling more comprehensive …

Go to article

In Vitro Comparison Of Two Python-Based Programs For The Automated Analysis Of Tight-Junction Phenotype In Brain Endothelium During Bacterial Infection, Henry D. Mauser, Janessa Caroza, Shane Nicole Homez, Alyssa S. Arnett, William D. Cutts, Daryl W. Lam, Justin Thornton, Walter Adams, Brandon J. Kim Jun 2025

In Vitro Comparison Of Two Python-Based Programs For The Automated Analysis Of Tight-Junction Phenotype In Brain Endothelium During Bacterial Infection, Henry D. Mauser, Janessa Caroza, Shane Nicole Homez, Alyssa S. Arnett, William D. Cutts, Daryl W. Lam, Justin Thornton, Walter Adams, Brandon J. Kim

Faculty Research, Scholarly, and Creative Activity

Tight junction complexes are crucial features of brain endothelial cells, as they restrict the paracellular route across the blood–brain barrier. Tight junction disruption has been observed in conjunction with numerous diseases of the CNS. In such cases, the organization or integrity of cell–cell junctions may be analyzed with a variety of automated computer programs that quantitatively assess junction images. Here, we directly compare two previously developed python-based programs—JAnaP and IJOQ— for the semi- or fully automated analysis of tight junctions in human stem cell-derived brain-like endothelial cells. Cells were infected with S. pneumoniae and S. agalactiae to initiate junction disruption, …

Go to article

The ‘Double-Exposure’ Of Riverine Communities In Northeast India To Dams And Climate Change, Costanza Rampini Jun 2025

The ‘Double-Exposure’ Of Riverine Communities In Northeast India To Dams And Climate Change, Costanza Rampini

Faculty Research, Scholarly, and Creative Activity

No abstract provided.

Go to article

San Jose Urban Forest – An Open-Source Tree Canopy Surveying And Assessment Tool, Martin Alvarez Lopez, Manan Choksi, Sai Yaaminie Ganda, Vaibhavi Hiteshkumar Savani, Bernardo Flores May 2025

San Jose Urban Forest – An Open-Source Tree Canopy Surveying And Assessment Tool, Martin Alvarez Lopez, Manan Choksi, Sai Yaaminie Ganda, Vaibhavi Hiteshkumar Savani, Bernardo Flores

Faculty Research, Scholarly, and Creative Activity

The accurate monitoring of tree canopy coverage is crucial for social and environmental studies as well as city planning. Our goal is to provide a solution that utilizes available resources like yearly aerial imagery to generate tree data to track all tree canopy within a city such as San Jose, CA. By utilizing open-source software and publicly available data, we streamlined the process by eliminating the need for expensive equipment and time-consuming manual efforts associated with traditional methods. The methodology involves the conversion of aerial imagery datasets into geo-referenced TIFF format through a resampling process. To optimize efficiency, we strategically …

Go to article

Domain-Specific Aspect Extraction For Product Design, Divyam Sobti, Mahima Agumbe Suresh, Cristina Tortora, Vimal Viswanathan May 2025

Domain-Specific Aspect Extraction For Product Design, Divyam Sobti, Mahima Agumbe Suresh, Cristina Tortora, Vimal Viswanathan

Faculty Research, Scholarly, and Creative Activity

As technology advances, computers become increasingly proficient at interpreting and translating human language into machine-understandable text. With the help of algorithms in natural language processing (NLP), machines can now translate textual data. These algorithms help identify and extract specific text components known as aspects. The aspects represent specific attributes or topics within textual data. For instance, if a product review states, “This phone has good battery life but poor camera quality, " and attributes like 'battery life' and 'camera quality' represent aspects in the text. Aspect extraction is a pivotal process involving identifying and isolating key features or topics within …

Go to article

Chains Of Equity: How Nationwide Injunctions Are Unconstitutional, Irfan Mohamed May 2025

Chains Of Equity: How Nationwide Injunctions Are Unconstitutional, Irfan Mohamed

Themis: Research Journal of Justice Studies and Forensic Science

Since the early judicial beginnings in the English Courts of Chancery, the principles of equity have guided judicial remedies for centuries. Modern American courts inherited these principles through reception statutes passed by newly independent states, which adopted English common law, including the concept of equity as a means of providing narrowly tailored remedies to resolve specific injuries. This paper examines the historical foundations of equity and argues that nationwide injunctions, which extend beyond the immediate litigants to affect the general public, are inconsistent with these principles and, therefore, unconstitutional. A historical and doctrinal analysis of the English Court of Chancery, …

Go to article

Forensic Psychology Of Serial Killers, Karla Suarez May 2025

Forensic Psychology Of Serial Killers, Karla Suarez

Themis: Research Journal of Justice Studies and Forensic Science

Many serial killers share patterns in psychological and neuropsychological disorders and behaviors. These behaviors and patterns should be recognized and acknowledged to understand why serial killers murder without remorse or guilt. It is important to discuss matters such as common patterns, typologies, and characteristics within serial killers. After looking at these essential aspects of serial killers, common neurodevelopmental disorders, brain damage, and biological epigenetics will be further explored. In order to fully assess this topic, forensic psychology and behavioral analysis are essential to aid in understanding serial killers and how their brains function to lead them to the actions that …

Go to article

Cross Cultural Mentoring: Including Diversity Awareness Strategies Into Healthcare Leadership Mentor Curriculum To Support Career Advancement Of Underrepresented Racial And Ethnic Groups, Deidra R. Burris May 2025

Cross Cultural Mentoring: Including Diversity Awareness Strategies Into Healthcare Leadership Mentor Curriculum To Support Career Advancement Of Underrepresented Racial And Ethnic Groups, Deidra R. Burris

Doctoral Projects

Background: Mentoring programs in healthcare organizations can establish clear pathways for advancement through various management and leadership levels to senior-level positions. While mentoring develops leaders, many healthcare organizations do not offer mentoring programs that address unique issues experienced by members of racially and ethnically underrepresented groups. A study was conducted using a single-group, repeated-measures design to assess the impact of an intervention aimed at improving mentor attitudes, behaviors, and confidence regarding cultural awareness in the mentoring relationships of healthcare leaders. Methods: The study was conducted in a large California healthcare organization. The Cultural Diversity Awareness related to Race/Ethnicity (CDA-R/E) subscales …

Go to article

Navigating Accountability: The Role Of Paradata In Ai Documentation And Governance, Scott Cameron, Patricia C. Franks, Isto Huvila, Norman Mooradian May 2025

Navigating Accountability: The Role Of Paradata In Ai Documentation And Governance, Scott Cameron, Patricia C. Franks, Isto Huvila, Norman Mooradian

Faculty Research, Scholarly, and Creative Activity

Purpose: The increased use of Artificial Intelligence (AI) has prompted governments internationally to provide guidance and legislation to maximize the benefits of AI while minimizing the risks to humans and organizations. This paper explores how published requirements for documentation in a sampling of authoritative texts address the challenges of creating, capturing and preserving records of the design, implementation and use of AI tools for accountability and transparency, and how the analytical concept of paradata can help to meet the recordkeeping challenges presented by the design, development and implementation of AI systems. Design/methodology/approach: Inductive reading and conceptual analysis of a set …

Go to article

Ischool Student Research Journal, Vol. 15, Iss. 1 May 2025

Ischool Student Research Journal, Vol. 15, Iss. 1

School of Information Student Research Journal

No abstract provided.

Go to article

International Perspectives On Research Data Management Services In Academic Libraries, Chris Reynolds, Kayla Richards May 2025

International Perspectives On Research Data Management Services In Academic Libraries, Chris Reynolds, Kayla Richards

School of Information Student Research Journal

The information landscape in academic libraries is undergoing a massive fundamental shift, from scarcity to abundance aided by changes in technology. One such change is the development of research data management (RDM) and their related services. Research data management services (RDMS) allow libraries to aid in “creating, finding, organizing, storing, sharing and preserving data within any research process” (Cox & Verbaan, 2018). Our research seeks to understand where RDMS is currently at on the global stage. Are international institutions currently developing RDM services? What is needed for successful implementation? And are there any considerable challenges? Through a comprehensive literature review, …

Go to article

First Prev Next Last