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Tales Of A Traveler - Scholarly Program Notes, Esther Tang

Research Papers

This research paper serves as scholarly program notes to the graduate recital held on December 6, 2025, at the Old Baptist Foundation Recital Hall. All song selections relate to travel and the discovery of love or loss along the journey. They were performed in the order reflected in this paper. Each chapter contains information about the relationship between text and music, the relationship between voice and piano, and significant features of the songs. The recital program included the following songs:

Gabriel Fauré: “Les Matelots,” “Après un rêve,” “Ici-Bas!”

Claude Debussy: Ariettes oubliées

Robert Schumann: Selections from Liederkreis, Op. 39 …

Finding Harmony In Chaos: A Perspective On Contemporary Percussion Literature, Skylar Etherington

Research Papers

The purpose of this research paper is to present information about the percussion pieces selected for this concert program. Information includes the composer background, the genesis of the work, technical and musical considerations of the piece, and the performance rigors one might encounter while preparing these works. This program covers many areas of percussion including snare drum, marimba, vibraphone, timpani, and multi percussion instruments. The following works were selected for this presentation: Evil Ernie by Casey Cangelosi, Cello Suite II in D Minor, BWV 1008: Prelude by J. S. Bach, Stutter by Keaton Jones, William Tell Overture by Gioachino Rossini, …

Bank Competition Amid Digital Disruption: Implications For Financial Inclusion, Erica Xuewei Jiang, Gloria Yang Yu, Jinyuan Zhang

Research Collection Lee Kong Chian School Of Business

We examine how digital disruption affects bank competition using the staggered rollout of 3G mobile networks. 3G expansion increased mobile banking adoption among tech-savvy households, reducing branch networks—especially in younger counties. Banks' strategies diverged: Less branch-reliant banks closed branches and competed on price, while more branch-reliant banks maintained branches but raised spreads. A structural model shows that perceived digital service improvements among younger consumers drove these shifts, reducing welfare for older savers. Counterfactuals demonstrate that subsidizing adoption for older savers can cost-effectively reduce these disparities, facilitating a smoother digital transition.

Pelagic Ecosystem Interactions Of An Offshore Longline Mussel Farm, Llucia Mascorda-Cabre, Philip Hosegood, Martin Attrill, Emma Sheehan

School of Biological and Marine Sciences

Long-term interactions of the UK's first large scale offshore mussel farm with the surrounding pelagic environment were studied to assess the farm's ecological impact. Pelagic fishes, zooplankton community and oceanographic parameters such as temperature, salinity, density, chlorophyll- α, dissolved oxygen and CDOM were quantified over seven years. Effects to oceanographic parameters were observed locally comparing samples collected on the east and west parts of the farm, evidencing turbulent mixing of the water column enhanced by the farm. There was no difference between zooplankton assemblage composition inside and outside the farm, only naturally occurring temporal changes were detected, supporting the hypothesis …

Dynamics Of High-Growth Young Firms And The Role Of Venture Capitalists, Yoshiki Ando

Research Collection School Of Economics

Motivated by the substantial growth and upfront investments of venture capital (VC)-backed firms observed in administrative US Census data, this study develops a life-cycle firm dynamics model. In the model, startups choose the source of financing from VC, angel investors, or banks, depending on their growth potential, and invest in innovation. The calibrated model explains the life-cycle dynamics of firms with different sources of financing and suggests that venture capitalists' managerial advice accounts for around 22% of the growth in VC-backed firms. A counterfactual economy without VC financing would experience an aggregate consumption loss of around 0.46%.

Semiparametric Cointegrating Rank Selection For Curved Cross-Section Time Series, Peter C. B. Phillips

Research Collection School Of Economics

Cointegrating rank selection is studied in a function space reduced rank regression where the data are time series of cross-section curves. Consistent cointegrating rank estimation is developed using information criteria extended to curve time series environments. The asymptotic theory involves two-parameter Gaussian processes that generalise the standard limit processes involved in cointegrating regressions. Simulations provide evidence of the effectiveness of consistent rank selection by the BIC criterion and the tendency of AIC to overestimate order as in standard lag order selection in autoregression, as well as in reduced rank regression with multiple time series.

Singapore In Global Value Chains: Implications Of The Trump Ii Tariffs, Pao-Li Chang, Ruoqing Chen

Research Collection School Of Economics

This paper examines Singapore’s structural position in global value chains (GVCs) and the implications of the second Trump administration’s tariff escalation for Singapore and the broader ASEAN region. We proceed in three parts. First, using the ADB Multi-Regional Input–Output (MRIO) tables for 2019 and 2024, we characterise Singapore’s GVC participation and position. Singapore is the most GVCintensive economy in ASEAN, with nearly half of its gross exports comprising foreign value-added and a markedly downstream orientation. China is its dominant upstream partner across manufacturing and services—intermediating over 27% of foreign content in electronics and over 10% in chemicals—while Malaysia, Taiwan, and …

Marital Stability And Intrahousehold Inequality, Tomoki Fujii, Xirong Lin, Jacob Penglase

Research Collection School Of Economics

We study what predicts marital instability using a unique dataset from Japan with detailed measures of spouses’ consumption, savings, labor supply, satisfaction, and marriage-market conditions. We combine descriptive survival and event-study analyses with several econometric and machine-learning approaches, including Cox proportional-hazards models and DynForest, a method designed for survival data with time-varying covariates. Across these approaches, match quality, household resources, time use, stated satisfaction, and marriage-market conditions all contain predictive information. Our main contribution is to show that intrahousehold consumption allocation matters, highlighting information that is missed by standard demographic, time use, and income measures. We relate these findings to …

The Interplay Of Interdependence And Correlation In Bilateral Trade, Takashi Kunimoto, Cuiling Zhang

Research Collection School Of Economics

Following Crémer and McLean (1985, 1988) for finite type spaces and McAfee and Reny (1992) for continuous ones, we establish two respective sufficient conditions for the existence of efficient, ex ante budget-balanced mechanisms satisfying Bayesian incentive compatibility (BIC) and interim individual rationality (IIR) in bilateral trade settings with interdependent values and correlated beliefs. We then utilize the ex ante welfare (EAW) condition proposed by Kunimoto and Zhang (2026), which is necessary for the stricter requirement of ex post budget balance. We prove that while the EAW condition is sufficient in a two-type model and generalizes existing conditions in the literature, …

How Followers Respond To Leader Differentiation: The Importance Of Considering All Leader Differentiation Properties, Yuchuan Liu, Gary John Greguras

Research Collection Lee Kong Chian School Of Business

A central tenet of many leadership theories is that leaders treat their followers differently. Although leader differentiation is ubiquitous, its effects on leaders and followers are not well understood and theory and research have not simultaneously considered its three key properties: Leader–member exchange (LMX) differentiation, LMX quality, and LMX social comparison. We developed a theoretical model in which these three properties interact to influence followers’ supervisory interactional justice perceptions and subsequently their supervisor-directed deviance and supervisor-directed organizational citizenship behaviors (OCBs). To test our model, we conducted a pre-registered experiment (Study 1), a single-level, multi-wave study (Study 2), and a multilevel, …

Connectivity And Selective Rural Migration, Lin Ma, Yuan Mei, Qunfeng Wu, Mingzhi Xu

Research Collection School Of Economics

How does infrastructure shape rural development? Using household panel data from a nationally representative sample of Chinese villages, matched to high-resolution highway maps, we find that road expansion between 2000 and 2015 operates mainly through reallocation, with less productive farmers scaling down or exiting and more productive farmers remaining and expanding. We quantify the aggregate and distributional consequences in a dynamic spatial equilibrium model with heterogeneous households and endogenous migration. Improved connectivity not only accelerates urbanization but also increases aggregate rural output by 2.2%–5.3% in the long run, even as the rural workforce declines.

The Role Of Local Winds And A Semi-Persistent Coastal Front On The Diurnal Heat Budget In An Upwelling Bay, April P. Thibodeau, Ryan K. Walter, Piero L.F. Mazzini, Thomas P. Connolly, Christopher A. Edwards, Ian Robbins

Faculty Research, Scholarly, and Creative Activity

Coastal embayments in nearshore upwelling systems (“upwelling bays”) play a disproportionately large role in regional oceanography. In these systems, local diurnal wind forcing and thermal gradients associated with an upwelling shadow front that forms between warmer sheltered waters inside the bay and colder recently upwelled waters outside the bay strongly influence local temperature dynamics. Despite their importance to local ecosystems, there are no long-term studies that assess the heat budget inside upwelling bays. In this study, we analyzed approximately two years of water temperature throughout the water column using an autonomous profiler in a small upwelling bay in central California …

The Use Of Foamed Glass Aggregate (Fga) As A Lightweight Fill Above Culverts, Amr Morsy

Mineta Transportation Institute

Transportation infrastructure—including buried utilities, drainage systems, and culverts—is frequently subjected to significant external stresses arising from existing conditions and new construction, especially in urban environments where deformation and failures can lead to significant operational and safety consequences. Lightweight fills offer a viable strategy to mitigate these stresses by reducing imposed loads. This study investigates the use of lightweight fills, specifically Foamed Glass Aggregate (FGA), as a sustainable solution to support California Senate Bill 1 (SB1) efforts to repair and maintain culverts, as well as for new construction applications. A numerical investigation was conducted to evaluate the performance of culverts backfilled …

Mind The Gap: Freight And Rail System Resilience Between Planning And Practice A Synthesis Of Freight Plan Best Practices And Survey Results From U.S. Transportation Professionals, Serena Alexander, Carmella Uwineza

Mineta Transportation Institute

Freight and rail networks across the United States face mounting risks from weather-related hazards and other systemic disruptions that threaten operational continuity, economic stability, and community well-being. While state freight plans are federally mandated, local and metropolitan freight planning varies widely, leaving gaps in how resilience is addressed across scales. This study examines how resilience is being integrated into freight and rail planning through a two-part approach: (1) a content analysis of 43 recent state and metropolitan freight plans, and (2) a nationwide survey of 56 transportation professionals engaged in freight and rail planning. Findings show broad consensus on the …

2026-05-05 Executive Council Minutes, Susie Salazar

Executive Council Minutes

No abstract provided.

Casual Killing In The Home: Ecological Citizenship And The Micro-Geopolitics Of Mosquito Cohabitation, Orlando Woods, Junxi Qian

Research Collection College of Integrative Studies

This article explores how the visceral acts of being bitten by and killing mosquitoes can underpin the formation of ecological citizenship. This form of citizenship is premised on human-nature entanglement and raises questions concerning how the rights and responsibilities stemming from such entanglement become distributed across the public and private domains. As a space in which mosquito cohabitation is contested daily, the home is a key site through which ecological citizenship can be forged and theoretical debates concerning urban political ecology can be extended. Human-mosquito entanglements in the home can reveal the limits of public pest management strategies, the partiality …

Automated Battery Management Systems For Electric Vehicles, Woonki Na, Yuanyuan Xie

Mineta Transportation Institute

Electric vehicle (EV) safety, efficiency, and lifetime are strongly influenced by how well battery cells are managed, and as EV adoption accelerates, improving battery performance has become critical to vehicle reliability, cost, and public trust. This report conducts a field study on the core technologies and challenges in Battery Management Systems (BMS), focusing on the classification of BMS circuit topologies (design/structures) and systematically reviewing different topologies of active cell balancing circuits (systems that move energy from stronger battery cells to weaker ones). The study provides a detailed analysis of the working principles, advantages, and disadvantages of various active balancing circuit …

Extravascular Factor Ix: A Semicentennial Narrative Review, Tvisha Subhasish, Christopher R. Reed

Student Publications

Coagulation factor IX (FIX) is a serine protease that is crucial for normal hemostasis in vertebrates. Unlike other soluble vitamin K-dependent procoagulant enzymes, there is an “extravascular reservoir” of FIX in various tissues. The extravasation of FIX and its subsequent maintenance outside of circulation have long been attributed to its ability to bind collagen IV. This property is conferred by a short, specialized region of its phospholipid-binding gamma-carboxyglutamic acid (Gla) domain. Collagen IV is a nonfibrillar extracellular protein found primarily in basement membranes that assembles into sheet-like supportive structures around blood vessels and epithelia, providing a convenient scaffold for this …

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 …

Continuous Query For Top-K Maximal Sum Intervals Over Streaming Data, Zhongshuai Zhang, Xiaochun Yang, Baihua Zheng, Rui Zhu, Haomin Li, Bin Wang

Research Collection School Of Computing and Information Systems

The continuous identification of top-k maximal sum intervals using a sliding window over a data stream is a critical operation for applications in IoT and beyond. A maximal sum interval is a non-overlapping, contiguous subsequence with the maximal sum in a sequence of signed values. Existing algorithms are ill-suited for streaming contexts: they either exhaustively enumerate all intervals even for small k values, or depend on indexes that require frequent and costly restructuring. We propose a novel partition-based strategy. Our core insight is a partitioning scheme that guarantees that any maximal sum interval is fully contained within a single partition, …

Dynamic Spectral Denoising With Global-Context Attention For Multi-Behavior Recommendation, Miaomiao Cai, Yunshan Ma, Fangqi Zhu, Junfeng Fang, Zhijie Zhang, Zhiyong Cheng, Xiang Wang, See-Kiong Ng

Research Collection School Of Computing and Information Systems

Multi-behavior recommendation improves target-behavior predic-tion by exploiting heterogeneous auxiliary feedback (e.g., view,collect, and cart), yet its robustness is often undermined by behavior-dependent noise and inconsistency. We argue that the key bottle-neck is not merely noisy behaviors, but a representation-level failurecaused by two coupled heterogeneities. First, intra-behavior rep-resentation entanglement arises when multi-hop propagationblends incidental signals with true preferences in the embeddingspace. This entanglement renders coarse spatial denoising inef-fective, since it cannot suppress noise without sacrificing weak-but-informative niche signals. Second, inter-behavior reliabilityheterogeneity complicates cross-behavior fusion, as the predic-tive value of auxiliary behaviors varies substantially across usersand contexts. Without reliability calibration, aggregation can …

Approximation And Learning-Based Algorithms For Influence Maximization In Multilayer Social Networks, Xueqin Chang, Ruize Liu, Qing Liu, Baihua Zheng, Yunjun Gao

Research Collection School Of Computing and Information Systems

Motivated by the observation that users in the real world often engage across multiple social networks simultaneously, we study the problem of influence maximization in multilayer social networks (Mlim), aiming to select a small set of nodes that maximizes the total influence spread across all layers. To this end, we introduce a hybrid propagation model that jointly captures layer-specific diffusion dynamics and probabilistic cross-layer propagation. Based on this model, we formally define the Mlim problem and establish its NP-hardness, monotonicity, and submodularity. To address the Mlim problem, we first propose a greedy baseline Mlim-Greedy, which achieves a (1-1/e) approximation. Since …

Audeter: A Large-Scale Dataset For Deepfake Audio Detection In Open Worlds, Qizhou Wang, Hanxun Huang, Guansong Pang, Sarah Erfani, Christopher Leckie

Research Collection School Of Computing and Information Systems

Speech synthesis systems can now produce highly realistic vocalisations that pose significant authenticity challenges. Despite substantial progress in deepfake detection models, their real-world effectiveness is often undermined by evolving distribution shifts between training and test data, driven by the complexity of human speech and the rapid evolution of synthesis systems. Existing datasets suffer from limited real speech diversity, insufficient coverage of recent synthesis systems, and heterogeneous mixtures of deepfake sources, which hinder systematic evaluation and open-world model training. To address these issues, we introduce AUDETER (AUdio DEepfake TEst Range), a large-scale and highly diverse deepfake audio dataset comprising over 4,500 …

Left: Learnable Fusion Of Tri-View Tokens For Unsupervised Time Series Anomaly Detection, Dezheng Wang, Tong Chen, Guansong Pang, Congyan Chen, Shihua Li, Hongzhi Yin

Research Collection School Of Computing and Information Systems

As a fundamental data mining task, unsupervised time series anomaly detection (TSAD) aims to build a model for identifying abnormal timestamps without assuming the availability of annotations. A key challenge in unsupervised TSAD is that many anomalies are too subtle to exhibit detectable deviation in any single view (e.g., time domain), and instead manifest as inconsistencies across multiple views like time, frequency, and a mixture of resolutions. However, most cross-view methods rely on feature or score fusion and do not enforce analysis–synthesis consistency, meaning the frequency branch is not required to reconstruct the time signal through an inverse transform, and …

Timeradar: A Domain-Rotatable Foundation Model For Time Series Anomaly Detection, Hui He, Hezhe Qiao, Yutong Chen, Kun Yi, Guansong Pang

Research Collection School Of Computing and Information Systems

Current time series foundation models (TSFMs) primarily focus on learning prevalent and regular patterns within a predefined time or frequency domain to enable supervised downstream tasks (\eg, forecasting). Consequently, they are often ineffective for inherently unsupervised downstream tasks—such as time series anomaly detection (TSAD), which aims to identify rare, irregular patterns. This limitation arises because such abnormal patterns can closely resemble the regular patterns when presented in the same time/frequency domain. To address this issue, we introduce TimeRadar, an innovative TSFM built in a fractional time–frequency domain to support generalist TSAD across diverse unseen datasets. Our key insight is that …

Task-Aligned Haze Removal With Semantic-Aware Fusion And Contrast Self-Correction, Jinbin Wang, Aiping Yang, Guosong Jiang, Wenlong Yu, Dongwei Ren, Qinghua Hu

Research Collection School Of Computing and Information Systems

Adverse haze conditions introduce complex degradations that obscure scene details and distort structural cues critical for object detection, posing persistent challenges for vision‐based sensing systems. Although existing haze removal methods have achieved notable improvements in visual clarity, their optimisation objectives are often misaligned with downstream detection requirements, leading to limited detection performance in real‐world scenarios. To address this issue, this work proposes a task‐aligned weakly supervised haze removal framework, termed Dehaze4Detection, which explicitly aligns low‐level restoration with high‐level detection objectives. The framework incorporates a Semantic‐Aware Multi‐Scale Fusion Module (SMFM) that embeds pixel‐level semantic knowledge into the dehazing process, enabling selective …

2026 August, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for August of 2026.

Harmonizing Human Touch And Ai Precision In Customer Service, Zhenbin Ding, Yali Zhang, Jun Sun, Mark Goh, Zhaojun Yang

Information Systems Faculty Publications

Artificial intelligence (AI)-powered chatbots offer a cost-effective solution for customer service, but often fall short in delivering personalized or complex interactions. In response, many merchants invest in AI training and explore human–AI collaboration to leverage the strengths of both automation and human touch. However, this introduces a strategic tradeoff between service quality and operational efficiency. Using a game-theoretic framework, this study examines how merchants can optimally choose service strategies with AI involvement. Our analysis reveals a critical collaboration trap. Contrary to the prevailing belief that increased collaboration consistently enhances service, consumers’ sensitivity to the identity of the service agent erodes …

Greenhouse Gas Flux Response In Biochar- And Compost-Amended Lawn Soils Under Simulated Water Saturation Conditions, Angel Salinas, Chu-Lin Cheng, Engil Pereira, Rafael M. Almeida, James Jihoon Kang

School of Earth, Environmental, & Marine Sciences Faculty Publications

Understanding greenhouse gas emission dynamics in lawn soils is important for improving climate change mitigation strategies in urban and suburban landscapes. In this greenhouse mesocosm study, carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) fluxes were measured from 12 turfgrass soil columns arranged in an unreplicated, completely randomized 4 × 3 factorial design. Four amendment treatments (biochar, compost, bio-com [1:1 volume ratio of biochar and compost], and unamended control) were combined with three water-table conditions (full saturation, half saturation, and unsaturated), with a single column representing each treatment combination. Columns were irrigated at 1 cm day−1 for 24 days, …

When Work Is Not Enough: Food Insecurity Among Employed Latinos Receiving Snap In Massachusetts And The Burden Carried By Latina Women, Phillip Granberry, Rafael M. Pérez Medina, Florita Coto Tristán

Gastón Institute Publications

Across Massachusetts, many SNAP recipients are workers, caregivers, parents, elders, people with disabilities, and families navigating low wages, unstable work schedules, high housing costs, and limited access to wealth building opportunities. Many of these workers held jobs that were labeled “essential” during the COVID-19 pandemic: food service, caregiving, cleaning, healthcare support, retail, transportation, construction, and other service sector jobs. Yet the public recognition of their essential labor has not been translated into adequate wages, benefits, or economic security.