Digital Commons Network^™

Using Ai Tools To Unmask Sarcasm, Sidra Tehniyath Lnu

Electronic Theses, Projects, and Dissertations

Sarcasm can be identified in newspaper headlines in digital communication, as it is contextual and has low inter- and intra-observer reliability. This research aims to improve sarcastic comment identification using a natural language processing approach, especially the BI-LSTM. The primary concern is to use fine-tuning methods to enhance the ways that strengthen the sarcasm identification rate, which regards the factors that complicate an automatic identification process. The study explores the impact of techniques such as early stopping, optimal loss function selection, and hyperparameter tuning to enhance the model's performance. The research questions are: Q1) How can fine-tuning techniques for BI-LSTM …

An Evaluation Of Health Rocks! With A Control Group, Dan Wang, Yunqi Wang, Maria R. De Guzman, Yan R. Xia, Kieu-Anh T. Do, Zhenqiao Yang

Journal of Human Sciences and Extension

Youth substance use challenges their health and well-being. There is research and practical need for rigorous evaluation of substance use prevention programs in prompting positive youth development. This study examined the program effectiveness of Health Rocks!, a youth substance use prevention program, with a quasi-experimental two-factor mixed evaluation design. We gathered data from 584 participants (i.e., 475 youth in the treatment group and 109 youth in the control group) and conducted paired-sample t-tests for each group to compare youth substance use-related outcomes before and after the training. Results showed that youth in the treatment group reported significant increases in substance …

News You Can Use— Helping Older Adults Make Informed Food Choices, Chih-Cheng Lu, Sarah Francis

Journal of Human Sciences and Extension

This cross-sectional study investigates the impact of the Commodity Supplemental Food Program (CSFP) Nutrition Education With Seniors (NEWS) program on the food-related challenges faced by older adults. The study used quarterly evaluations spanning 2012 to 2022, focusing on the application of newsletter information; 3,281 surveys were completed. Descriptive statistics and chi-square tests were employed for sociodemographic analysis, while z-tests with Bonferroni correction compared column proportions. Respondents were primarily female (64.5%), aged 60-69 (52.1%). Many encountered a decreased food supply (47.1%), yet experienced no impacts from these changes (47.3%.) Most used NEWS information for food choices (79.7%) and resource management (83.9%), …

Geoflood: Computational Model For Overland Flooding, Brian Kyanjo

Boise State University Theses and Dissertations

Overland flooding, a critical environmental phenomenon, poses significant challenges for computational modeling due to its complex hydrodynamics and the need for high-resolution data. This thesis presents GeoFlood, a new open-source software package for overland flooding simulations. The computational model solves shallow water equations (SWE) on a quadtree hierarchy of mapped, logically Cartesian grids managed by the parallel, adaptive library ForestClaw (Calhoun & Burstedde, 2017). The model is validated using standard benchmark tests from Neelz & Pender (2013) and against results from the GeoClaw software (George, 2011; Clawpack Development Team, 2020) for the historical Malpasset dam break problem. The benchmark test …

Light & Faith: December 2024, Taylor University

Light & Faith

No abstract provided.

The Association Between Childhood Trauma And Adulthood Depression And Posttraumatic Symptoms. Mediated Through Emotion Regulation And Perceived Social Support., Josue David Luna Jr.

Theses and Dissertations

Depression and posttraumatic stress are two psychological consequences commonly reported by adults exposed to adverse childhood experiences. High prevalence of childhood adversities in the United States is a significant concern. Despite this, the specific causal mechanisms connecting childhood adversity to adult psychopathology remain undiscovered and require further research. This research aimed to determine whether perceived social support, cognitive reappraisal, and expressive suppression, two alternate forms of emotion regulation, would independently mediate the link between adverse childhood experiences and psychopathology in adulthood among a sample of U.S. Hispanic students. A total of 814 undergraduate students completed an anonymous online battery of …

Single-Shot Mev-Resolution Hard X-Ray Spectrograph For Cavity-Based X-Ray Free Electron Laser, Keshab Kauchha

Dissertations

The Cavity-Based X-ray Free Electron Laser (CBXFEL) is a possible future direction in the development of fully coherent hard X-ray sources of high spectral brilliance, a narrow spectral bandwidth of ≃ 1 − 100 meV, and a high repetition rate of ≃ 1 MHz. A diagnostic tool is required to measure CBXFEL spectra with a meV resolution on a shot-to-shot basis.

The CBXFEL hard X-ray spectrograph is designed to image 9.831 keV X-rays in a ≃ 200 meV spectral window and with a spectral resolution of a few meV using an LCLS XFEL (Linac Coherent Light Source X-ray Free Electron …

Distorted Narratives In The Treatment Program Complex, Evelyn Lia Malavé

Fordham Law Review

Problem-solving courts and alternatives to incarceration have been both celebrated as successful attempts to address the factors that lead to defendants’ involvement in the criminal legal system and critiqued as ineffective reforms that worsen mass incarceration. Specifically, critiques of the “treatment program complex” have tended to focus on how it harms defendants by exposing them to higher levels of incarceration if they fail to complete court mandates. But these critiques have failed to account for another way the treatment program complex harms defendants: by suppressing their voices regarding what kind of help they need and how they are affected by …

Plausibly Illiberal: Sua Sponte Dismissals Of Pro Se Complaints Under The Prison Litigation Reform Act, Pierce Edlich

Fordham Law Review

Over a quarter of civil litigants file suit in federal court without an attorney. Most unrepresented litigants are in prison, and many of their cases raise complex, delicate constitutional questions. The number of unrepresented litigants in federal courts rose steadily until the 1990s, when Congress passed the Prison Litigation Reform Act (PLRA) of 1995 to limit the burden of frivolous inmate litigation on federal courts. Since 1996, the PLRA has defined courts’ procedural obligations for inmate and in forma pauperis (IFP) suits, often filed pro se. The PLRA requires that courts screen and dismiss sua sponte cases that are frivolous, …

Lost At The South China Sea: A Legal Rationale For Joining Unclos, Dean Feinman

Fordham Law Review

Rising tensions in the South China Sea are a tired front of great power competition. Since President Barack Obama’s “pivot to Asia,” there has been renewed attention on growing Chinese naval power and influence, which stands to challenge the U.S. status as the world’s preeminent naval force. Despite a clear and obvious interest in maintaining a favorable global oceans regime, the United States has not ratified the United Nations Convention on the Law of the Sea (UNCLOS), the principal international instrument governing the use of the oceans. Instead, the United States argues that ratification is unnecessary because UNCLOS “embodies” customary …

Malicious Compliance: Examining Revenge Behaviors In Organizations, Patricia Jewel Emily Morrison

Theses and Dissertations

Revenge is a multifaceted behavior that manifests in various forms. The purpose of this dissertation was to examine a particular form of revenge known as malicious compliance, which has yet to be sufficiently researched. A two-study approach was used to examine malicious compliance. In the first study, qualitative data was collected from an online forum for sharing malicious compliance experiences. In the second study, 352 participants completed a mixed-methods survey online. Data from both studies was analyzed in RStudio and MAXQDA. Study 1 utilized unsupervised machine learning techniques, non-machine learning techniques, and thematic coding techniques to analyze the forum dataset. …

Exploring Keebet Von Benda-Beckmann's Legal Pluralism In Slum Transformation: An Ethnographic Study Of Urban Revitalization In Indonesia, Imam Koeswahyono, Diah Pawestri Maharani, Nadyah Maylika Rahmawati, Ika Ismudyahwati

The Indonesian Journal of Socio-Legal Studies

Slum areas in Indonesia present a significant challenge, with government programs such as the National Slum Upgrading Program (NSUP) aiming to address urban poverty and improve living conditions. Despite the implementation of formal policies, the interplay between legal frameworks and local practices often determines the success of such initiatives. Drawing on Keebet von Benda-Beckmann’s theory of legal pluralism, this research examines the transformation of slums into productive and sustainable zones, focusing on Kampung Jodipan, Kampung Heritage Kajoetangan, and Kampung Kreatif Dago Pojok. These case studies reveal how formal legal systems interact with informal norms and community-driven practices in achieving urban …

Adan: Adaptive Nesterov Momentum Algorithm For Faster Optimizing Deep Models, Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan

Research Collection School Of Computing and Information Systems

In deep learning, different kinds of deep networks typically need different optimizers, which have to be chosen after multiple trials, making the training process inefficient. To relieve this issue and consistently improve the model training speed across deep networks, we propose the ADAptive Nesterov momentum algorithm, Adan for short. Adan first reformulates the vanilla Nesterov acceleration to develop a new Nesterov momentum estimation (NME) method, which avoids the extra overhead of computing gradient at the extrapolation point. Then Adan adopts NME to estimate the gradient's first- and second-order moments in adaptive gradient algorithms for convergence acceleration. Besides, we prove that …

Towards General Conceptual Model Editing Via Adversarial Representation Engineering, Yihao Zhang, Zeming Wei, Jun Sun, Meng Sun

Research Collection School Of Computing and Information Systems

Since the rapid development of Large Language Models (LLMs) has achieved remarkable success, understanding and rectifying their internal complex mechanisms has become an urgent issue. Recent research has attempted to interpret their behaviors through the lens of inner representation. However, developing practical and efficient methods for applying these representations for general and flexible model editing remains challenging. In this work, we explore how to leverage insights from representation engineering to guide the editing of LLMs by deploying a representation sensor as an editing oracle. We first identify the importance of a robust and reliable sensor during editing, then propose an …

Custom Permission Misconfigurations In Android: A Large-Scale Security Analysis, Rui Li, Wenrui Diao, Debin Gao

Research Collection School Of Computing and Information Systems

Android’s popularity is due to its openness and vast app ecosystem. Global developers can use Android Studio and rich Android APIs to create their apps. Within this ecosystem, Android permissions play a crucial role in managing access to resources, with system permissions controlled by system apps and custom permissions declared by third-party apps. However, the security of custom permissions has not received enough attention from the mobile security community, resulting in a lack of thorough evaluation of security practices for app developers using custom permissions. This study systematically evaluated the misconfiguration of custom permissions by Android app developers. It is …

Long-Tailed Out-Of-Distribution Detection Via Normalized Outlier Distribution Adaptation, Wenjun Miao, Guansong Pang, Jin Zheng, Xiao Bai

Research Collection School Of Computing and Information Systems

Onekeychallenge in Out-of-Distribution (OOD) detection is the absence of groundtruth OOD samples during training. One principled approach to address this issue is to use samples from external datasets as outliers (i.e., pseudo OOD samples) to train OOD detectors. However, we find empirically that the outlier samples often present a distribution shift compared to the true OOD samples, especially in LongTailed Recognition (LTR) scenarios, where ID classes are heavily imbalanced, i.e., the true OOD samples exhibit very different probability distribution to the head and tailed ID classes from the outliers. In this work, we propose a novel approach, namely normalized outlier …

Chain Of Preference Optimization: Improving Chain-Of-Thought Reasoning In Llms, Xuan Zhang, Chao Du, Tianyu Pang, Qian Liu, Wei Gao, Min Lin

Research Collection School Of Computing and Information Systems

The recent development of chain-of-thought (CoT) decoding has enabled large language models (LLMs) to generate explicit logical reasoning paths for complex problem-solving. However, research indicates that these paths are not always deliberate and optimal. The tree-of-thought (ToT) method employs tree-searching to extensively explore the reasoning space and find better reasoning paths that CoT decoding might overlook. This deliberation, however, comes at the cost of significantly increased inference complexity. In this work, we demonstrate that fine-tuning LLMs leveraging the search tree constructed by ToT allows CoT to achieve similar or better performance, thereby avoiding the substantial inference burden. This is achieved …

Gotcha ! This Model Uses My Code ! Evaluating Membership Leakage Risks In Code Models, Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsum Kim, Donggyun Han, David Lo

Research Collection School Of Computing and Information Systems

Leveraging large-scale datasets from open-source projects and advances in large language models, recent progress has led to sophisticated code models for key software engineering tasks, such as program repair and code completion. These models are trained on data from various sources, including public open-source projects like GitHub and private, confidential code from companies, raising significant privacy concerns. This paper investigates a crucial but unexplored question: What is the risk of membership information leakage in code models? Membership leakage refers to the vulnerability where an attacker can infer whether a specific data point was part of the training dataset. We present …

User Acceptance Of Advice By Ai Agents: Expectation-System Fit Perspective, Jingyuan Cai, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

Algorithms have increasing influence on our daily decisions, especially when the recommendations are presented by human-like AI agents. This study applies the Theory of Effective Use to investigate how the fit between the user’s role expectation for an AI agent and the agent’s interaction style impacts AI advice adoption. We proposed a new concept termed Perceived Expectation-System Fit (PESF) and empirically examined its impact on user perceptions and advice acceptance. We found that low PESF reduces advice acceptance by diminishing cognitive and affective trust in the AI agent. Furthermore, increased algorithm transparency increases PESF's impact on decision-making. Our findings provide …

Shield-U: Safeguarding Traffic Sign Recognition Against Perturbation Attacks, Shengmin Xu, Jianfei Sun, Hangcheng Cao, Yulan Gao, Ziyang He, Cong Wu

Research Collection School Of Computing and Information Systems

Traffic sign recognition systems are crucial for the navigation and situation awareness of autonomous vehicles. They leverage deep learning technologies to swiftly and accurately identify traffic signs, even in the most challenging traffic environments. However, security researchers have uncovered a critical vulnerability in these systems: learning-based TSRs are particularly susceptible to physical-world perturbation attacks. Through subtle modifications (i.e., attaching well-designed patches on traffic signs), attackers can deceive the recognition system into making erroneous judgments, which can further lead to serious traffic accidents. Although several defense mechanisms have been proposed to enhance the security of sign recognition systems, these solutions generally …

Ohss: Optimizing Homomorphic Secret Sharing To Support Fast Matrix Multiplication, Shuguang Zhang, Jianli Bai, Kun Tu, Ziyue Yin, Chan Liu

Research Collection School Of Computing and Information Systems

Homomorphic Secret Sharing (HSS) has evolved as a state-of-the-art methodology for achieving secure two-party computation, synthesizing the advantages of secret sharing and homomorphic encryption. This amalgamation ensures minimal computational and communicational overhead, making it particularly adept at arithmetic operations. However, HSS faces challenges in scalability and efficiency when confronted with extensive matrix operations, including both matrix-vector and matrix-matrix multiplications, which are fundamental in numerous privacy-preserving computations, notably within the realm of privacy-preserving machine learning. In this research, we introduce Optimized Homomorphic Secret Sharing (OHSS), a refined version of HSS, crafted to address these limitations. Our contributions include enhancements to the …

Mvgamba : Unify 3d Content Generation As State Space Sequence Modeling, Xuanyu Yi, Zike Wu, Qiuhong Shen, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Shuicheng Yan, Xinchao Wang, Hanwang Zhang

Research Collection School Of Computing and Information Systems

Recent 3D large reconstruction models (LRMs) can generate high-quality 3D content in sub-seconds by integrating multi-view diffusion models with scalable multi-view reconstructors. Current works further leverage 3D Gaussian Splatting as 3D representation for improved visual quality and rendering efficiency. However, we observe that existing Gaussian reconstruction models often suffer from multi-view inconsistency and blurred textures. We attribute this to the compromise of multi-view information propagation in favor of adopting powerful yet computationally intensive architectures (e.g., Transformers). To address this issue, we introduce MVGamba, a general and lightweight Gaussian reconstruction model featuring a multi-view Gaussian reconstructor based on the RNN-like State …

Lova3 : Learning To Visual Question Answering, Asking And Assessment, Henry Hengyuan Zhao, Pan Zhou, Difei Gao, Bai Shou, Mike Zheng Shou

Research Collection School Of Computing and Information Systems

Question answering, asking, and assessment are three innate human traits crucial for understanding the world and acquiring knowledge. By enhancing these capabilities, humans can more effectively utilize data, leading to better comprehension and learning outcomes. Current Multimodal Large Language Models (MLLMs) primarily focus on question answering, often neglecting the full potential of questioning and assessment skills. Inspired by the human learning mechanism, we introduce LOVA3 , an innovative framework named “Learning tO Visual question Answering, Asking and Assessment,” designed to equip MLLMs with these additional capabilities. Our approach involves the creation of two supplementary training tasks GenQA and EvalQA, aiming …

The Inclusion Of Metacognition In Source Evaluation Instruction, Anthony Tardiff

Communications in Information Literacy

Though the ACRL Framework holds metacognition as crucial to exercising information literacy, its emphasis was reduced from prominence in early drafts to a single mention in the final document. At the same time, few of the frequently-taught sets of source evaluation criteria include a step for self-awareness. This raises the question: do librarians explicitly teach metacognitive concepts when they teach source evaluation? Online library guides about source evaluation from various colleges and universities in Washington state were analyzed, and librarians who taught source evaluation were surveyed to determine whether and to what extent metacognitive concepts were included as part of …

Morphometric Based Roughness Estimates For Wind Loading Applications In The Coastal Transition Zone, Hadley Rose Besing

Theses and Dissertations

This project was developed to support the Florida Tech Wireless Sensor Network System (WSNS) hurricane research team in determining wind loads during high-impact wind events. The WSNS team objectives included estimating the critical pressure (𝐶_p) from observed 3-s gusts during high impact weather events (tropical cyclones). The field work was conducted at a single-story residential home in Satellite Beach, FL approximately 400 m from the coast. During data collection periods, more than 1-million 20-second LiDAR wind profiles were observed.

The bulk roughness at the test residence is characterized utilizing an existing morphometric technique with geometry that is derived …

Thinking And Doing Beyond Science And Risk Communication As Mere Transmission, Inez Z. Ponce De Leon

Department of Communication Faculty Publications

I look back on my professional experience as both bench and social scientist, and examine my misun derstandings of science communication as a field, which were fueled by my ideologically-driven stance on the primacy of the bench sciences over all other fields of study. I begin with my work as a molecular biologist, continue with my socialization into the social sciences at the PhD level, and narrate my ex periences as a researcher attempting to break down the notion of science and risk communication as mere vessels for sharing scientific information. I do this by discussing my research findings, and …

Phytoplankton Responses To Changing Irradiance And Carbon Fertilization, Alison Siersma

Graduate Theses and Dissertations (2019 - present)

Phytoplankton play a crucial role in marine ecosystems due to their innate ability to fix carbon. As atmospheric CO2 levels continue to rise from fossil fuel combustion, the resulting increase in dissolved CO2 and the concurrent decrease in ocean pH are likely to impact the phytoplankton community. The response of phytoplankton to elevated CO2 can vary significantly among species and environmental conditions (e.g. light, temperature, nutrient availability). To address these variations, an experiment was conducted using a controlled photobioreactor system, maintaining high and low light, constant temperature, nutrient levels, and two pCO2 concentrations. This study focused on two regionally relevant …

Management Of Possible Serious Bacterial Infections In Young Infants Where Referral Is Not Possible In The Context Of Existing Health System Structure In Mbeya, Tanzania: Experience And Lessons From The End Line Assessment, Esther Ngadaya, Alexander Manu, Mary Mmweteni, Dorica Burengelo, Doreen Philbert, Gibson Kagaruki, Kahabi Isangula, Mbazi Senkoro, Godfather Kimaro, Amos Kahwa

School of Nursing & Midwifery, East Africa

Severe bacterial infections (SBIs) are a leading cause of neonatal deaths in low- and middle-income countries. World Health Organization’s (WHO’s) guideline for outpatient management of danger signs indicating possible serious bacterial infections (PSBI) when referral is not possible was adopted by three pilot district councils in Mbeya Region, in Tanzania (Busekelo, Kyela and Mbarali Districts) in 2018 (the PSBI project). This study documented changes in practice during the PSBI project, and lessons learned. A cross-sectional study was conducted using both qualitative and quantitative data collection methods between July 2021 and January 2022, post-implementation. The study participants comprised stakeholders, health workers, …

Effectiveness Of Clinical Training In Influencing The Outcome Of Visual Inspection With Acetic Acid In Selected Facilities At A County In Kenya, Evah Maina, Abednego Ongeso, Nancy Maingi

School of Nursing & Midwifery, East Africa

Background: Cervical cancer remains a major health concern in developing countries, primarily due to the presence of human papillomavirus (HPV) types 16 and 18. Visual Inspection with Acetic Acid (VIA) is a common and affordable screening method, yet its effectiveness is closely tied to the skills and competency of healthcare providers. This study aimed to assess the impact of clinical training on improving VIA screening outcomes for cervical cancer in a county in Kenya.

Methods: Seven government health facilities equipped with cryotherapy machines were selected, with two healthcare providers sampled from each. A six-day VIA training intervention was conducted, combining …

The Relationship Between Early Dysphagia Screening And Incidence Of Pneumonia Among Acute Stroke Patients, Sabreen Elsedeek Ahmed Assistant Lecturer

Nursing

Background: Post-stroke dysphagia is a common complication of acute stroke, which could increase the risk of mortality and aspiration pneumonia. Aim: This study aimed to assess the relationship between early dysphagia screening and the incidence of pneumonia among acute stroke patients. Research design: A correlational descriptive design was utilized in this study. Setting: The study was conducted at the stroke and neurology intensive care units at As-Salam International Hospital. Subject: a purposive sample of (87) adult patients newly admitted with a diagnosis of acute stroke was included in the study. Tools: Three tools were used in this …