Digital Commons Network^™

Enhancing Maternal And Fetal Well-Being: Exploring The Determinants Of Preconception Care, Mahak Mehdi Hashim Mehdi Hashim, Nurmeen Anwar Ali

Journal of Asian Midwives (JAM)

Preconception care is the delivery of biomedical, behavioral, and social health interventions to women and couples of reproductive ages. The significance of care is emphasized by the World Health Organization (WHO), as it greatly affects the quality of life of the mother and child. However, the uptake of pre-conception care services in Low and Middle-income countries (LMIC) such as Pakistan is low due to several factors. This discussion paper will identify some of the contextual factors related to the quality of health care services, acceptability due to cultural value beliefs, and affordability that largely influence the utilization of preconception care …

Readability And Suitability Of Local Disaster Preparedness Materials In Predominantly Hispanic Border Communities: A Case Study Of Cameron County, Texas, Katarzyna Sepielak, Dawid K. Wladyka

Sociology Faculty Publications

Community awareness is a key component of disaster resilience and numerous agencies developed a plethora of preparedness materials. Previous studies evaluated national-level resources and social media content indicating that these efforts are not effectively reaching vulnerable populations, as the information is provided at or above the secondary education level. However, the local-specific content has been mostly overlooked in the analyses, subsequently neglecting the needs of areas with specific demographics and hazards, like predominantly Hispanic border communities. Thus, this study turns to local preparedness and mitigation materials, rather than general internet searches or national level documents. We analyze information provided on …

Mitigating Algorithmic Bias: Strategies For Addressing Discrimination In Data, Sonia Gipson Rankin

Faculty Scholarship

This article examines the pervasive issue of algorithmic bias, particularly within large language models (LLMs) and the legal system. It argues that unlike simple programming bugs, these biases are deeply ingrained in the design and training data of artificial intelligence (AI) systems. By understanding the historical roots of bias and its realworld consequence across various sectors, we can develop effective strategies to mitigate its impact and ensure AI serves as a tool for progress. Weaving together historical insights, case studies, and forward-looking recommendations, the article aims to equip legal professionals with the knowledge and tools necessary to lead the charge …

Measuring Branding Variables That Affect The Brand Choice Intention Toward Tourism Destinations In Thailand’S Eastern Coastal Region, Passarin Phalitnonkiat, James Vincent Johnson, Siwaporn Kunnapapdeelert

DLSU Business & Economics Review

A large number of tourists visit Thailand’s eastern coastal regions every year. Brand choice intention is one of the fundamental elements for developing marketing strategies. Therefore, the purposes of this study are to investigate the impact of five brand elements on destination brand loyalty and brand choice intention and to study the relationships among each construct of consumer brand perception by using EFA, CFA, and SEM. A sample of 830 Thai tourists returned paper-based surveys regarding their interests and perceived value. The study found four brand elements that significantly affect brand loyalty and brand choice intention, both directly and indirectly. …

Reducing Patient Falls In A Skilled Nursing Facility, Mariah De Los Santos

All Doctor of Nursing Practice (DNP) Scholarly Projects

Falls in skilled nursing facilities (SNFs) pose a significant safety risk, causing injuries, extended stays, and increased morbidity mortality. With a fall rate 6.08 per 1,000 patient bed days, exceeding the national benchmark of 5.3, this project aimed to reduce falls using an evidence-based prevention bundle in a facility lacking a comprehensive fall prevention program. A literature review indicated multifaceted fall prevention bundles reduce falls in SNFs. Key components include risk assessment tools, patient education, post-fall huddles, and purposeful hourly rounding. This quality improvement project used Deming's Model for Improvement and the OhioHealth Change Management Model. An interprofessional team of …

On The Correlation Between Pre-Processing Workflow And Dimensional Accuracy Of 3d Printed Parts In High-Precision Material Jetting, Karin Chen, Ahmed Elkaseer, Steffen Scholz, Veit Hagenmeyer

Mechanical Engineering

Material Jetting (MJ) is distinguished in the additive manufacturing field for its ability to create accurate multi-material functional objects with features in the range of few micrometers. Analyzing the impact of each step in MJ from virtual design to 3D printed object on the process response is essential for optimizing the technology’s capabilities. The current state-of-the-art reveals a gap in MJ regarding the fundamental understanding of the correlation between the pre-processing workflow and the geometrical and dimensional accuracy. This study aims to bridge this gap by examining factors such as utilization of different CAD software with diverse working principles, part-based …

Impact Of Effective Word Vectors On Deep Learning Based Subjective Classification Of Online Reviews, Priya B. Kamath, M. Geetha, Dinesh U. Acharya, Ritika Nandi

Open Access archive

Sentiment Analysis tasks are made considerably simpler by extracting subjective statements from online reviews, thereby reducing the overhead of the classifiers. The review dataset encompasses both subjective and objective sentences, where subjective writing expresses the author's opinions, and objective text presents factual information. Assessing the subjectivity of review statements involves categorizing them as objective or subjective. The effectiveness of word vectors plays a crucial role in this process, as they capture the semantics and contextual cues of a subjective language. This study investigates the significance of employing sophisticated word vector representations to enhance the detection of subjective reviews. Several methodologies …

Impact Of Deposition Temperature On Persistent Photoconductivity Of Sno2 Thin Films Deposited Using Spray Pyrolysis Technique Suitable In Optoelectronic Synaptic Devices, P. Asha Hind, Pawan Kumar, U. K. Goutam, B. V. Rajendra

Open Access archive

In this study, nanocrystalline tin oxide thin films that exhibited enhanced persistent photoconductivity (PPC) were prepared using spray pyrolysis technique. The effect of deposition temperature on different aspects of photoconductivity of these films were analysed using different characterization techniques. Raman analysis confirmed the tetragonal rutile structure of the films and also indicated their nanocrystalline nature, while XPS analysis verified the presence and oxidation states of tin and oxygen in the films. The films demonstrated UV sensing capability under above-bandgap illumination, generating electron-hole pairs and enhancing electrical conductivity. The deposition temperature of the film influenced their photocurrent characteristics, showcasing varied responses …

Mathematical Methods For Economics And Business Syllabus, Marian Melnyk

Open Educational Resources

This syllabus outlines an online asynchronous course introducing essential mathematical tools and techniques in economics. It spans 24 sessions covering Functions, Differentiation, Limits, Integration, and Multivariable Functions, grounded in college algebra and calculus. The course utilizes Open Educational Resources (OER) for all materials, available in text and video formats on Blackboard. Continuous assessment, including quizzes, homework, two 1-hour tests, and a final exam, ensures consistent progress. Weekly online office hours provide additional support. The primary objective is to equip students with the mathematical skills necessary for economic analysis and problem-solving.

Water Current, Volume 56, No. 2, Summer 2024

Water Current Newsletter

No abstract provided.

In Vitro Culture Alters Cell Lineage Composition And Cellular Metabolism Of Bovine Blastocyst, Hao Ming, Mingxiang Zhang, Sandeep Rajput, Deirdre Logsdon, Linkai Zhu, William B. Schoolcraft, Rebecca L. Krisher, Zongliang Jiang, Ye Yuan

Faculty Publications

Profiling bovine blastocyst transcriptome at the single-cell level has enabled us to reveal the first cell lineage segregation, during which the inner cell mass (ICM), trophectoderm (TE), and an undefined population of transitional cells were identified. By comparing the transcriptome of blastocysts derived in vivo (IVV), in vitro from a conventional culture medium (IVC), and in vitro from an optimized reduced nutrient culture medium (IVR), we found a delay of the cell fate commitment to ICM in the IVC and IVR embryos. Developmental potential differences between IVV, IVC, and IVR embryos were mainly contributed by ICM and transitional cells. Pathway …

Secondary School State Athletic Association Health And Safety Policy Development Processes, Susan Yeargin, Rebecca M. Hirschhorn, William M. Adams, Samantha E. Scarneo-Miller

Faculty Publications

Background: The National Federation of State High School Associations provides recommendations regarding health and safety policies; however, policy development is governed at the state level. Given interstate differences in governance, the primary purpose was to describe processes that State High School Athletic Associations (SHSAAs) utilize to develop a new policy. The secondary objective was to determine what methods associations use to implement new policies. Methods: A cross-sectional survey requested SHSAA (n = 51) representatives to report how athlete health and safety policies are introduced, revised, approved, and implemented within their state. The 22-question survey was developed to gather variables for …

Snapshots Of Coastal Ecology Using Multiproxy Analysis Reveals Insights Into The Preservation Of Swamp And Marsh Environments Since The Late Pleistocene, Kendall Fontenot, Kristine L. Delong, Brian A. Schubert, Sophie Warny, Davin J. Wallace, Carrie M. Miller, Erin Culver-Miller, Michael J. Polito, Carl A. Reese, Kathryn Garretson, Kehui Xu, Grant L. Harley, Jeffrey Obelcz, Kelli L. Moran, Julian Traphagan, Douglas Jones, Alicia Caporaso

Faculty Publications

The southeastern United States Coastal Plain ecosystem contains baldcypress (Taxodium distichum) swamps and grass-dominated marshes. These ecosystems also occurred on the exposed continental shelf during lower sea levels but are rarely preserved due to the mechanically erosive nature of transgression and regression. Two presently marine sites on the northeastern Gulf of Mexico's continental shelf contain well-preserved woody terrestrial sediments that were the subject of previous studies. This study continues the investigation using geochemical (δ13C, δ15N, δ34S) and palynological characteristics of these formerly terrestrial sediments to determine if swamps and/or marshes existed at the time of deposition. The first site is …

Navigating Technological Change And The Landscape Of Work: Past, Present, And The Future, Alexandra Lucille Y. Navarez

Angelo King Institute for Economic and Business Studies (AKI)

No abstract provided.

Reinforcement Learning For Strategic Airport Slot Scheduling: Analysis Of State Observations And Reward Designs, Anh Nguyen-Duy, Duc-Thinh Pham, Jian-Yi Lye, Nguyen Binh Duong Ta

Research Collection School Of Computing and Information Systems

Due to the NP-hard nature, the strategic airport slot scheduling problem is calling for exploring sub-optimal approaches, such as heuristics and learning-based approaches. Moreover, the continuous increase in air traffic demand requires approaches that can work well in new scenarios. While heuristics rely on a fixed set of rules, which limits the ability to explore new solutions, Reinforcement Learning offers a versatile framework to automate the search and generalize to unseen scenarios. Finding a suitable state observation and reward structure design is essential in using Reinforcement Learning. In this paper, we investigate the impact of providing the Reinforcement Learning agent …

Learning Topological Representations With Bidirectional Graph Attention Network For Solving Job Shop Scheduling Problem, Cong Zhang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jing Sun

Research Collection School Of Computing and Information Systems

Existing learning-based methods for solving job shop scheduling problems (JSSP) usually use off-the-shelf GNN models tailored to undirected graphs and neglect the rich and meaningful topological structures of disjunctive graphs (DGs). This paper proposes the topology-aware bidirectional graph attention network (TBGAT), a novel GNN architecture based on the attention mechanism, to embed the DG for solving JSSP in a local search framework. Specifically, TBGAT embeds the DG from a forward and a backward view, respectively, where the messages are propagated by following the different topologies of the views and aggregated via graph attention. Then, we propose a novel operator based …

Mvmoe: Multi-Task Vehicle Routing Solver With Mixture-Of-Experts, Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu

Research Collection School Of Computing and Information Systems

Learning to solve vehicle routing problems (VRPs) has garnered much attention. However, most neural solvers are only structured and trained independently on a specific problem, making them less generic and practical. In this paper, we aim to develop a unified neural solver that can cope with a range of VRP variants simultaneously. Specifically, we propose a multi-task vehicle routing solver with mixture-of-experts (MVMoE), which greatly enhances the model capacity without a proportional increase in computation. We further develop a hierarchical gating mechanism for the MVMoE, delivering a good trade-off between empirical performance and computational complexity. Experimentally, our method significantly promotes …

Social-Ecological Determinants Of Affective States Among College Students: A Cross-Cultural Ecological Momentary Assessment Study, Abhishek Aggarwal

Theses and Dissertations

Background: College students experience a complex and diverse array of stressors during their college life, making them vulnerable to severe mental health issues. Momentary affective states are linked to major mental health disorders and overall well-being; however, the current social-ecological model of affect lacks a temporal dimension, failing to account for within-person dynamics of affective states over time. This study disentangles the complex temporal dynamics among the momentary, multilevel social-ecological factors and affective states in the real-world setting of college students across the United States (US) and India. However, establishing invariance of the affect model across time, people, and cultures …

Altered Sensory Processing And Pain In Youth With Sickle Cell Disease: Risk Factors And Moderators, Julia Johnston

Theses and Dissertations

Introduction: Youth with sickle cell disease (SCD) experience recurrent pain and increased risk for chronic pain. Neuropathic pain, characterized by alterations to the central and/or peripheral nervous systems, is not well understood among youth with SCD. Based on our current understanding of pain systems and existing literature on pain in SCD, this study aimed to elucidate psychosocial correlates of altered sensory processing (ASP) and neuropathic pain, determine biomedical risk factors contributing to the development of ASP among youth with SCD, and identify how sensory processing and biopsychosocial factors collectively influence pain experiences by assessing two plausible models. Methods: Thirty-five youth …

Unveiling The Dynamics Of Crisis Events: Sentiment And Emotion Analysis Via Multi-Task Learning With Attention Mechanism And Subject-Based Intent Prediction, Phyo Yi Win Myint, Siaw Ling Lo, Yuhao Zhang

Research Collection School Of Computing and Information Systems

In the age of rapid internet expansion, social media platforms like Twitter have become crucial for sharing information, expressing emotions, and revealing intentions during crisis situations. They offer crisis responders a means to assess public sentiment, attitudes, intentions, and emotional shifts by monitoring crisis-related tweets. To enhance sentiment and emotion classification, we adopt a transformer-based multi-task learning (MTL) approach with attention mechanism, enabling simultaneous handling of both tasks, and capitalizing on task interdependencies. Incorporating attention mechanism allows the model to concentrate on important words that strongly convey sentiment and emotion. We compare three baseline models, and our findings show that …

How People Prompt Generative Ai To Create Interactive Vr Scenes, Setareh Aghel Manesh, Tianyi Zhang, Yuki Onishi, Kotaro Hara, Scott Bateman, Jiannan Li, Anthony Tang

Research Collection School Of Computing and Information Systems

Generative AI tools can provide people with the ability to create virtual environments and scenes with natural language prompts. Yet, how people will formulate such prompts is unclear---particularly when they inhabit the environment that they are designing. For instance, it is likely that a person might say, "Put a chair here,'' while pointing at a location. If such linguistic and embodied features are common to people's prompts, we need to tune models to accommodate them. In this work, we present a Wizard of Oz elicitation study with 22 participants, where we studied people's implicit expectations when verbally prompting such programming …

The Information Content Of Financial Statement Fraud Risk: An Ensemble Learning Approach, Wei Duan, Nan Hu, Fujing Xue

Research Collection School Of Computing and Information Systems

This study aims to assess the financial statement fraud risk ex ante and empirically explore its information content to help improve decision-making and daily operations. We propose an ex-ante fraud risk index by adopting an ensemble learning approach and a theoretically grounded framework. Our ensemble learning model systematically examines the fraud process and deals effectively with the unique challenges in the financial fraud setting, which yields superior prediction performance. More importantly, we empirically examine the information content of our estimated ex-ante fraud risk from the perspective of operational efficiency. Our empirical results find that the estimated ex-ante fraud risk is …

Topic Modeling On Document Networks With Dirichlet Optimal Transport Barycenter (Extended Abstract), Ce Zhang, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Texts are often interconnected in a network structure, e.g., academic papers via citations. On the one hand, though Graph Neural Networks (GNNs) have shown promising ability to derive effective embeddings for networked documents, they do not assume latent topics, resulting in uninterpretahle embeddings. On the other hand, topic models can infer interpretable document representations. However, most topic models focus on plain text and fail to leverage network structure across documents. In this paper, we propose a GNN-based topic model that both captures network connection and derives semantically interpretable text representations. For network modeling, we build our model with Optimal Transport …

Final 2024 Residential Metals Abatement Program (Rmap) Park Soil Sampling Field Sampling Plan (Fsp) Submittal #14 [Silver Bow Homes Park, Butte Koa, Fairmont Rv Park, And Cccs Gymnasium], Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Final 2024 Residential Metals Abatement Program (Rmap) Park Soil Sampling Field Sampling Plan (Fsp) Submittal #13 [Copper Mountain Park], Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Final 2024 Residential Metals Abatement Program (Rmap) Mandan Park Soil Remedial Action Work Plan (Rawp), Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Draft Final Bpsou Insufficiently Reclaimed Sites Belle Of Butte (Bres No. 8 & Ur-39) Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Archaeoentomology: Arthropods And Humans, Current Works In Archaeoentomology, Paz Vigil

Department of Entomology: Distance Master of Science Projects

This paper presents a brief literature review, exploring human and insect interaction, and how such research aids the ongoing construction of the archaeological and entomological record. This field, a combined subset of both entomology and archaeology, is both complex and rich as well as young and still growing. This literature review is not meant to be an exhaustive or comprehensive exploration of this subject, but it will serve as part of a foundation for those interested in the topic or wanting to conduct further exploratory study in this field. The intent is to highlight the practical applications of Archaeoentomology, using …

Resources In Northeast Nebraska's Waste Could Power The Future, Reese Vanosdel, Emma Kurtz, Tyler Knaak

Project Energy Nebraska: Student Projects

Environmental Engagement in the Community projects, summer 2024

A poster titled Resources in Northeast Nebraska's Waste Could Power the Future for clients City of Norfolk, Nebraska (Steven Rames) and City of Wayne, Nebraska (Wes Blecke and Sandy Brown).

Advisor: David Gosselin

Jul. 1, 2024, Ert, Draft External Review Of Panel Toolkit, Ert

World Bank Inspection Panel 1994-Present

No abstract provided.