Digital Commons Network^™

Sentinel: Evaluating Occlusion-Centered Next-Best-View Selection Using Rgb-Derived Pseudo-Geometry, Paul Nassar

Master's Theses

Three-dimensional cameras provide direct geometric measurements, but their cost, weight, power requirements, and calibration constraints can limit their use in various lightweight or large-scale sensing systems. A potential alternative is to use conventional two-dimensional RGB cameras together with geometric reconstruction models that infer a partial three-dimensional representation from images. This thesis evaluates that possibility for next-best-view (NBV) selection through Sentinel, an occlusion-centered system for static, object-centric scenes with known camera poses and intrinsics. Sentinel converts source RGB observations into pseudo-geometry using monocular depth or point-map predictions, combines those predictions with camera-ray evidence, identifies occluded unknown regions, and selects a candidate …

Hardware-In-The-Loop Evaluation Of Sensor-Source Selection For Prosthetic Locomotion Intent Recognition, Victoria Asencio-Clemens

Master's Theses

Active lower-limb prostheses use intent-recognition systems to identify a user’s locomotion mode and select an appropriate control strategy, but sensor configurations that perform well offline may be unsuitable for resource-constrained embedded hardware. Existing sensor-selection methods generally prioritize classification accuracy without directly accounting for processing latency, memory usage, or other hardware-dependent requirements. To address this limitation, this thesis develops a hardware-in-the-loop source-selection framework for embedded classification of level walking, ramp ascent, ramp descent, stair ascent, and stair descent using multimodal biomechanical data from transtibial amputee participants. Subject-specific linear support vector machine classifiers were evaluated using trial-held-out validation, and candidate configurations from …

Predicting Student Belonging In Computing Education: A Multimodal Machine Learning Approach Using Eeg And Survey Data, Hannah Moshtaghi

Master's Theses

Measuring students’ sense of belonging, characterized by feelings of acceptance, inclusion, and encouragement from teachers, remains a significant challenge in computing education. Prior research has associated this multidimensional construct with positive academic outcomes and has identified instructors’ growth- and fixed-mindset messaging as a potential influence. However, belonging is a complex and deeply personal experience that is difficult to capture through direct observation alone. Current measurement methods rely on self-report surveys, which may not capture every aspect of an experience that can also involve emotional and cognitive responses.

This thesis investigates whether combining EEG data recorded during a belonging questionnaire with …

A Maintainable Extensible And Performant Compiler Toolchain For The Trustguard Architecture, Ethan N. Emery

Master's Theses

TrustGuard is a hardware architecture implementing a CAVO (Containment Architecture with Verified Output) model, which provides security guarantees by bootstrapping trust of a system to a hardware component known as the Sentry. Rather than verifying an entire system, TrustGuard re-executes trusted computation on the Sentry and validates the host system's execution before allowing values to pass to the outside world, thereby containing the effects of erroneous computation. Implementing this architecture in practice without hardware modifications to a host CPU requires a compiler toolchain capable of automatically generating instrumented binaries for both the untrusted host and the trusted Sentry from C …

Synthesis And Characterization Of Carbon Quantum Dots And Gold Nanoparticles For Norovirus Biosensing Applications In Water Systems, Breanne Evans

Master's Theses

Rapid, reliable detection of viral pathogens remains a significant challenge across water-treatment and environmental monitoring systems, including drinking-water, wastewater, water reuse, and environmental surveillance applications. Waterborne viral contamination can pose substantial public-health risks, making early detection essential for protecting water quality and responding quickly to treatment failures or contamination events. Direct potable reuse (DPR) is one particularly demanding example because it requires continuous verification of treatment performance and the broader need for rapid virus monitoring extends across many water-treatment and environmental surveillance applications. Norovirus is a priority target because of its widespread occurrence in wastewater, environmental persistence, and exceptionally low …

Gender And Professional Identities In Businesswomen’S Negotiation, Chi-Ying Cheng, Amy J. Lim, Yi Wen Tan, Fiona Lee

Research Collection School of Social Sciences

Gender roles and expectations for women have been shown to account for why women tend to negotiate ineffectively in business settings. Drawing from the psychological literature on multiple identities, this paper examines how individual differences in perceived compatibility between gender and professional identities–captured by the construct Gender-Professional Identity Integration (G-PII)–shape businesswomen’s negotiation behaviors. Two studies examined how G-PII interacts with identity cues and cue valence to influence negotiation outcomes. We found that those who perceived their gender and professional identities as compatible (high G-PII) exhibited an “assimilation” effect–they negotiate more effectively when their professional identity was primed by professional identity …

Llm-Based Early Rumor Detection With Imitation Agent, Fengzhu Zeng, Qian Shao, Ling Cheng, Wei Gao, Shih-Fen Cheng, Jing Ma, Cheng Niu

Research Collection School Of Computing and Information Systems

Early Rumor Detection (EARD) aims to identify the earliest point at which a claim can be accurately classified based on a sequence of social media posts. This is especially challenging in data-scarce settings. While Large Language Models (LLMs) perform well in few-shot NLP tasks, they are not well-suited for time-series data and are computationally expensive for both training and inference. In this work, we propose a novel EARD framework that combines an autonomous agent and an LLM-based detection model, where the agent acts as a reliable decision-maker for \textit{early time point determination}, while the LLM serves as a powerful \textit{rumor …

Efficient And Universal Watermarking For Llm-Generated Code Detection, Boquan Li, Zirui Fu, Mengdi Zhang, Peixin Zhang, Jun Sun, Xingmei Wang

Research Collection School Of Computing and Information Systems

Large language models (LLMs) have significantly enhanced the usability of AI-generated code, providing effective assistance to programmers. This advancement also raises ethical and legal concerns, such as academic dishonesty and the generation of malicious code. For accountability, it is imperative to detect whether a piece of code is AI-generated. Watermarking is broadly considered a promising solution and has been successfully applied to identify LLM-generated text. However, existing efforts on code are far from ideal, suffering from limited universality and excessive time and memory consumption. In this work, we propose a plugand- play watermarking approach for AI-generated code detection, named ACW …

Tiny Treasures: Cloves In Early Modern English Literature, Emily Soon

Research Collection School of Social Sciences

This Southeast Asian spice not only sparked fierce international competition, but also featured within the literature of the Global Renaissance.

When The Best-Fit Model Is Not Best: The Glass Slipper Fallacy And Latent Growth Mixture Modelling, Jonathan L. Chia, Markus Wettstein, Andree Hartanto

Research Collection School of Social Sciences

Despite the use of latent growth mixture modelling (LGMM) to study longitudinal changes, existing practices may inadvertently impede this very investigation. Although subgroup trajectories may theoretically differ in their structure (e.g., some subgroups being linear, some curvilinear), the current convention advocates overreliance on the baseline model to derive subsequent profile trajectories, which may obscure these structural differences. In this article, we provide a brief description of extant LGMM practices, after which we explicate the pitfalls of the current approach. Finally, we provide a principled approach for LGMM research moving forward. Specifically, we recommend specifying a set of theoretically plausible models …

Global Prevalence Of Depression Among University Students: A Comprehensive Umbrella Review, Gilda Yun Kai Sam, Xun Ci Soh, Harshitha Balaji, Gabriel X. D. Tan, Shu Fen Diong, Meilan Hu, Andree Hartanto, Nadyanna M. Majeed

Research Collection School of Social Sciences

Depression has become a major concern for educational institutes due to its increasing incidence and detrimental impacts on students’ well-being. However, its global prevalence in the context of tertiary education remains unclear. This umbrella review summarised existing meta-analyses and systematic reviews to examine the worldwide prevalence of depression among university students. Several sociodemographic and methodological factors, including differences in depression prevalence before, during, and after COVID-19, were examined as moderators. Structured and exhaustive searches were conducted in five bibliographic databases and five journals, alongside two sources of grey literature. A total of 61 meta-analyses and systematic reviews were included in …

Artificial Intelligence (Ai) In Forensic Psychology: An Umbrella Review Of Potentials And Pitfalls, Ysabel Thereze Ang Guevarra, Nur Eva Alisha Binte Mohamed Hisham, Andree Hartanto

Research Collection School of Social Sciences

Artificial intelligence (AI) is becoming increasingly embedded within forensic psychological practice, shaping how criminal risk, legal responsibility and public safety are assessed. AI tools are now used in recidivism prediction, behavioural analysis, deception detection and investigative support, high-stakes domains where errors can have profound consequences. Despite this rapid adoption, the existing literature remains fragmented, with most reviews confined to narrow subdomains and offering limited integrated synthesis of AI′s broader role in forensic psychology. Thus, this umbrella review addresses this gap by synthesising findings from 43 reviews obtained from five major databases, namely EBSCOhost ERIC, EBSCOhost PsycInfo, PubMed, Scopus and Web …

Caring With Ai: The Efficacy Of A Customised Chatgpt-Delivered Self-Compassion Intervention On College Students' Well-Being And Academic Functioning, Tracy Xi Chen, Chi-Ying Cheng, Andree Hartanto

Research Collection School of Social Sciences

College students face various challenges, including academic pressure, social stress, and the transition into adulthood, which can lead to increased anxiety and other mental health issues. By recognizing personal struggles as part of a shared human experience and responding with kindness, self-compassion serves as a powerful strategy for enhancing resilience, facilitating better well-being and performance outcomes. Although effective, Compassion-Focused Therapy often requires substantial resources and time, limiting its applicability to college students. To overcome these barriers, the current study designed and evaluated Your Self-Compassion Companion, a ChatGPT-powered AI chatbot intervention grounded in self-compassion theory and delivered over three weekly 20-min …

Towards Confucian Economic Democracy: A Relational Alternative To Possessive Individualism, Sor-Hoon Tan

Research Collection School of Social Sciences

This article offers a Confucian conception of ownership and a different approach to equality based on a concept of relational person that could provide an alternative philosophical framework for economic democracy. The Confucian concept of nonexclusive and nonabsolute co-ownership, conditional on owners fulfilling their social responsibilities and sustained in networks of relationships mitigates the drive to appropriation and resistance to redistribution even without formalizing legal rights of equal ownership. Confucian texts’ condemnation of wide disparities between rich and poor corresponds with distributive ideas that balance equal satisfaction of needs with merit-based incentives for productivity constrained by social harmony. Without advocating …

The Ambivalent Wisdom Of Moral Disgust, Brandon Yip

Research Collection School of Social Sciences

This paper has two aims. First, to provide a positive account of moral disgust. I suggest that moral disgust is a response to acts that are socially corrosive, namely, acts that undermine the normative structure to which an agent is attuned. I support this analysis with two lines of evidence: (1) moral disgust serves the important function of guarding normative structures from socially corrosive actions and (2) the analysis provides an illuminating explanation of moral disgust in a wide variety of cases. The secondary aim of this paper is to probe the normative implications of my positive account. I suggest …

Investigations Into The Structure-Property Relationships Of Magnetic Fe2mnsn And Gradient Copt Thin Films For Next-Generation Magnetic Technologies, Lance Griswold

Theses

e study of spin-based electronic phenomena, or spintronics, has become increasingly important in materials science and condensed matter physics due to its potentialto enable next-generation magnetic technologies, including advanced memory devices and quantum computing. Central to this field is the relationship between a material’s atomic structure and its physical properties, which requires precise control over synthesis conditions to achieve desired magnetic and electronic behavior. In this work, I investigate the structure–property relationships of several magnetic thin-film systems, each designed to address a specific technological challenge. All films were synthesized using magnetron co-sputtering from elemental magnetic and non-magnetic targets, either at …

Measurement Of Kerr Rotation Using A Variable-Angle Polarizer Method, Shusmita Podder Pooza

Theses

The magneto-optical Kerr effect (MOKE) occurs when polarized light is reflected from a magnetized surface, causing changes in polarization angle (called Kerr rotation) and its state (linear vs elliptical, for example). In a simple version, MOKE measurement involves measuring the intensity of the reflected beam off the surface of a sample as an external magnetic field is swept through it. We record a change in the reflected intensity when the magnetization of the material changes. While easily measurable using modern electronics methods, the Kerr rotation is minimal, only of the order of milliradians (~0.1 deg), and is a characteristic of …

Ssw 701.50: Social Welfare Policy, Ian G. Williams

Open Educational Resources

This syllabus is an Open Educational Resources (OER) remixed version of SSW 701.50: Social Welfare Policy, which is taught at the Silberman School of Social Work at Hunter College. This version updated the content and integrated additional OER materials, as part of the Summer 2026 cohort of The Open Knowledge Fellowship at the Mina Rees Library. It is a Zero-Textbook (ZTC) cost course and integrates materials from a range of academic disciplines. Official course description is as follows:

"This foundation course furnishes you with the orienting knowledge and skills needed to examine social welfare policies and to understand their relevance …

Validating Valuation: How Statistical Learning Can Cabin Expert Discretion In Valuation Disputes, Andrew C. Baker, Jonah B. Gelbach, Eric L. Talley

Faculty Scholarship

This article challenges conventional methods used in financial valuation across transactional and litigation domains. We show that conventional valuation methods allow for considerable discretion, making it possible for each side’s experts to submit dramatically varying valuations simply by choosing among facially reasonable values of parameters that must be selected to carry out conventional valuations. We use large-scale empirical simulations powered by real-world data to demonstrate the scope of such discretion. We next consider several alternatives based on data-driven machine learning approaches, and show that they offer both approximately unbiased estimates of valuation and substantially reduced variability in valuation results. Consequently, …

A Finite Element Model To Analyze Crack-Tip Fields In A Transversely Isotropic Strain-Limiting Elastic Solid, Saugata Ghosh, Dambaru Bhatta, S. M. Mallikarjunaiah

School of Mathematical & Statistical Sciences Faculty Publications

This paper presents a finite element model for the analysis of crack-tip fields in a transversely isotropic strain-limiting elastic body. A nonlinear constitutive relationship between stress and linearized strain characterizes the material response. This algebraically nonlinear relationship is critical as it mitigates the physically inconsistent strain singularities that arise at crack tips. These strain-limiting relationships ensure that strains remain bounded near the crack tip, representing a significant advancement in the formulation of boundary value problems (BVPs) within the context of first-order approximate constitutive models. For a transversely isotropic elastic material containing a crack, the equilibrium equation, derived from the balance …

Understanding The Correlation Between Prediction Performance And Trust In Ai Through Scenario-Based Tasks, Likhitha Kammara

Theses and Dissertations

Trust in artificial intelligence is commonly assessed through self-reported scales or behavioral reliance, yet behavioral reliance is retrospective and can only be observed after a decision has already been made. This thesis examines whether prediction accuracy — a user's ability to predict what an AI system will recommend before its output is revealed — can serve as a prospective correlate of trust in the same empirical sense as behavioral reliance. The study was conducted in two phases using scenario-based AI decision tasks across disaster response, healthcare, and infrastructure restoration contexts, employing a between-group design in which participants either predicted AI …

An Evaluation Of Staff Training To Teach Implementation Of Functional Analysis Of Inappropriate Mealtime Behavior, Lauren Marie Lightner

Theses and Dissertations

Avoidant/Restrictive Food Intake Disorder (ARFID) along with other feeding disorders are prevalent in both neurotypical children along with children diagnosed with autism spectrum disorder (ASD) and other developmental disabilities. Children with feeding challenges often exhibit inappropriate mealtime behavior (IMB) to avoid consuming non-preferred foods. It is pertinent to determine the function of IMB in order to create an efficacious treatment; one such assessment is the functional analysis (Iwata et al. 1982/1994). Iwata et al. (2000) taught students how to implement a functional analysis of self-injurious behavior using behavioral skills training. Since the assessment’s development, it has been extended to various …

Review: Mechanics Of Mycelium Materials, Md Anwar Sadat Anik, Ehsanul Azim, Gerardo I. Zapata, Mohammad R. Islam

Mechanical Engineering Faculty Publications

The biological growth of fungal root structure, called mycelium, can be engineered to develop innovative fibrous and biocomposite materials. Mycelium materials have potential as sustainable alternatives to petroleum-derived materials for load-bearing applications. To realize this potential, there is an increasing effort dedicated to understanding the mechanics of mycelium materials. This work presents a systematic review of our current understanding of the mechanics of mycelium materials with a specific focus on structure–property relationships. The review first explores how the mycelium’s fiber network structure varies depending on whether it is grown as a two-dimensional (2D) membrane, a cellular foam, or as a …

Bayesian Variable Selection In High-Dimensional Ordinal Quantile Regression Models, Mai Dao, Md. Sakhawat Hossain, Zhuanzhuan Ma

School of Mathematical & Statistical Sciences Faculty Publications

Quantile regression (QR) provides a flexible statistical framework for modeling the entire conditional distribution of the response variable, making it useful for analysis in various fields. Despite its advantages, existing methods for QR often encounter numerical challenges in high-dimensional settings, especially for those with ordinal responses. In this paper, we use a latent-response framework to construct a Bayesian hierarchical model to conduct parameter estimation and variable selection for ordinal QR. Using the asymmetric Laplace working likelihood and the horseshoe prior for the regression coefficients, we obtain the posterior samples to be screened by the sequential two-means clustering process to identify …

The Rpm-1/Phr Signaling Hub Modulates Tau-Induced Neurodegeneration Through Regulation Of Microtubule Stability And Mapk Pathways In C. Elegans, Xinxing Ding

Theses and Dissertations

Neurodegenerative diseases, including Alzheimer's disease and frontotemporal dementia, are characterized by the accumulation of pathological tau proteins and progressive neuronal loss. Although research regarding tau-mediated toxicity is extensive, the specific pathology that determine whether neurons maintain homeostasis or succumb to collapse under tau-induced stress remain incompletely elucidated. A central, yet still insufficiently understood, feature of these diseases is the disruption of the microtubule (MT) cytoskeleton . The PHR protein family is evolutionarily highly conserved; within this family, RPM-1 in C. elegans functions as an intracellular signaling hub that regulates axon development, synapse formation, axon termination, and various microtubule-associated processes. This …

The Supreme Court And The Constitution, Tom Rozinski

Open Touro Created

2026

The Supreme Court and the Constitution is a casebook for undergraduate students who want to earn about the Constitutional structure of the US government. Since the Supreme Court is responsible for interpreting the Constitution, the book begins with a history of the Court before examining the processes and methods it uses to decide cases. There is also a unit on the development of judicial review and the limitations on the scope of the Court’s actions. One major unit examines the powers of the president in both foreign and domestic affairs, and includes a section on presidential immunities. Another major …

Witchcraft Dialogues : Anthropological And Philosophical Exchanges, George Clement Bond, Diane M. Ciekawy

Ohio University Press Open Access Books

Witchcraft Dialogues analyzes the complex manner in which human beings construct, experience, and think about the occult. It brings together anthropologists, philosophers, and sociologists, from diverse social and cultural backgrounds, to engage the metaphysical properties of witchcraft and sorcery and to explore their manifestations in people’s lived experiences.

While many Africanist scholars shun the analysis of witchcraft as an appropriate domain of investigation, the experiences, thoughts, activities, and powers that witchcraft encompasses have become increasingly the source of interest and debate. Concepts of witchcraft and the phenomena to which they are applied express something fundamental to the human condition and …

Tissue-Specific And Sex-Dependent Microbiome Structure In East African Cattle Ticks (Amblyomma Gemma And Rhipicephalus Pulchellus) And Their Bovine Hosts, Dennis Getange, Samson Mukaratirwa, Rua Khogali, Epaphrus Yuko, James Kabii, Joel L. Bargul, Jandouwe Villinger

All Peer-Reviewed Publications

Ticks and their vertebrate hosts share intimate ecological interactions that shape microbial community composition, with implications for tick fitness and pathogen transmission. However, the extent and specificity of tick–host microbial interactions remain poorly understood, particularly in East African tick species. Here, we characterised microbial communities across multiple tissue types from two economically important tick species (Amblyomma gemma and Rhipicephalus pulchellus) and their shared bovine host using 16S rRNA V1-V2 gene sequencing. We profiled haemolymph, midgut, salivary glands, and gonads from individual ticks (25 Am. gemma and 8 Rh. pulchellus), alongside 12 bovine blood samples. Microbiota were dominated by Proteobacteria, Firmicutes, …

Performance Of The Denitrification-Decomposition Model In Simulating Agronomic Properties And N2o Emissions Under Smallholder Climate-Smart Farming Systems, Esphorn Kibet, Collins M. Musafiri, Milka Kiboi, Onesmus K. Ng'etich, David K. Kosgei, Abdirahman Zeila, Franklin Mairura, Felix K. Ngetich

All Peer-Reviewed Publications

The DeNitrification-DeComposition (DNDC) model is a crucial tool for estimating soil greenhouse gas fluxes and understanding soil-plant interactions. This study evaluates the performance of the DNDC model in simulating soil temperature, moisture, crop yield, and nitrous oxide (N2O) fluxes across different land utilization types in Western Kenya. The land utilization types included: i) agroforestry M (agroforestry with Markhamia lutea, ii) sole sorghum, iii) agroforestry L (agroforestry with Leucaena leucocephala), iv) sole maize, and v) grazing Land, each replicated thrice. Fertilizer and manure were applied as part of the management practices, with manure applied at 2t ha⁻¹. Soil greenhouse …

Harnessing Kenyan Aquaculture Through Social Media: Impacts, Challenges And Strategic Directions, Domitila Kyule, Jonathan Munguti, Mavindu Muthoka, Esther Magondu, Menaga Meenakshisundaram, Chrysantus M. Tanga, Kevin Obiero, Cecilia Githukia

All Peer-Reviewed Publications

Aquaculture is increasingly important for food, nutrition and livelihoods in Kenya, but the sector still faces persistent constraints in extension delivery, farmer learning, input access, market coordination and information reliability. This review examines how social media and related digital communication tools are shaping aquaculture development in Kenya, with attention to impacts, challenges, governance needs and strategic directions. A systematic literature review of studies and institutional sources published between 2015 and 2025 was conducted. The search identified 388 records, of which 45 sources were included in the final synthesis after screening, eligibility assessment and quality appraisal. Because the evidence was heterogeneous, …