Digital Commons Network^™

Towards Testing, Detecting, And Debloating Insecure Components In Android Applications, Zicheng Zhang

Dissertations and Theses Collection (Open Access)

The Android ecosystem’s openness and extensibility have fueled its dominance in the mobile market, but they also broaden the attack surface of applications by introducing insecure or redundant methods. Vulnerabilities arise from various sources, including insecure API usage, code cloning, and feature bloat, especially from unneeded components introduced during development. To address these challenges, this dissertation presents a systematic, three-phase pipeline that transitions seamlessly from vulnerability discovery to clone-based detection and, ultimately, to dynamic mitigation through runtime debloating. Each phase builds upon the insights and limitations of the previous, collectively forming a practical approach to improving Android app security.

In …

Essays On Empirical Asset Pricing, Qi Fan

Dissertations and Theses Collection (Open Access)

My dissertation consists of three studies on how investor behavior affects the outcomes in financial markets. The first study focuses on the investors’ limited capacity on processing the complicated information transmitted through interconnected firms. The other two studies explore the investor heterogeneity on preferred time of trading, due to their personal traits or irrational judgements on the market conditions.

In Chapter 2, I focus on the return predictability across economically linked firms, due to investor limited attention. I document significant outperformance of stocks whose industry peers currently experience salient (attention-grabbing) gains, especially for those with strong social ties. The long-short …

Research On Dual Performance Of Industrial Parks Driven By Big Data: Fsqca Analysis Using Resource-Based View, Xionghong Jiang

Dissertations and Theses Collection (Open Access)

Digital economic industrial parks serve as significant vehicles for the development of the digital economy, as highlighted in the national 14th FiveYear Plan for Digital Economy Development (hereinafter referred to as "the Plan"). The Plan identifies the digital transformation of industrial parks and clusters as a key task in the broader industrial digital transformation. Intelligent parks represent the future trend of park development. Current data reveals that there are over 80,000 industrial parks across China, with revenues of the top 100 parks in 2023 reaching RMB 37.9 trillion. In 2022 alone, investment in intelligent parks exceeded RMB 300 billion, a …

Network-Based Crypto Asset Analysis, Ling Cheng

Dissertations and Theses Collection (Open Access)

The rise of cryptocurrency, particularly Bitcoin (BTC), has revolutionized the financial landscape, enabling decentralized, peer-to-peer transactions without the need for intermediaries such as banks or financial institutions. Since its inception in 2009, Bitcoin has grown exponentially, not only in terms of market value but also in its impact on global finance. However, together with this popularity comes a wide range of cybercrimes including hacking, Ponzi schemes, wash trading, extortion, and money laundering. As noted in recent research, the volume of illicit cryptocurrency activities has grown significantly, with billions of dollars in crypto assets being stolen or used for illegal purposes …

The Impact Of Ai Usage On Employee Work Outcomes: The Mediating Roles Of Personal Control And Job Insecurity And The Moderating Role Of Ai Trust, Tiantian Wang

Dissertations and Theses Collection (Open Access)

The widespread application of artificial intelligence (AI) technology in the workplace offers significant potential for process optimization andperformance improvement. However, the psychological mechanisms throughwhich AI usage affects employee outcomes remain underexplored. To address this gap, the present study investigated a sample of 170 employees froma media company in China, utilizing a three-wave longitudinal survey design. Specifically, this study examined how AI usage influenced employee creativity and task performance improvement through two mediatingmechanisms: the enhancement of personal control in problem-solving and the elicitation of job insecurity. Furthermore, the moderating role of trust in AI inthe relationship between AI usage and job …

The Impact Of Sustainable Urban Development On The Issuance Of Urban Investment Bonds, Xinglin Shou

Dissertations and Theses Collection (Open Access)

Investment, export, and consumption have been viewed as the three driving forces behind economic development in China. Among these, investment has remarkably contributed to the urbanization in the context of China's sustained growth and development. Urbanization involves the mergingof large and medium-sized cities with surrounding areas, renovation of shantytowns and aging urban neighborhoods, and transformation of rural regions into urban areas, culminating in the establishment of a unified market. Such advancements have promoted infrastructure projects that are spearheadedby local governments and aligned with urbanization, thus catalyzing the growth of China's real estate industry, stimulating the Chinese economy, andextending the urbanization-related …

Towards Real-World Unsupervised Anomaly Detection For Images, Zhonghang Liu

Dissertations and Theses Collection (Open Access)

In the era of big data, data quality plays a critical role in computer vision, where the reliability and purity of training images are essential for optimal performance. When training models such as image classifiers and object detectors, the quality of the training data directly influences the success of the model. In other words, if the training dataset is contaminated, the model’s performance might accordingly decrease.

To address this challenge, unsupervised anomaly detection (UAD) has become an attractive research area. By automatically removing these anomalous data points, UAD can help improve the accuracy and robustness of machine learning models in …

How Industrial Clusters Affect Technological Innovation: Evidence From Vanyang Small & Micro Industrial Park, Jianming Wu

Dissertations and Theses Collection (Open Access)

This study focuses on the mechanism through which industrial clusters enhance technological innovation among micro and small enterprises. Using the VanYang Micro-Enterprise Park in Zhejiang Province as a representative case, the research integrates perspectives from industrial cluster theory, innovation theory, and spatial economics to explore how clustered environments influence enterprise innovation performance through resource integration, knowledge spillovers, and organizational collaboration. Departing from traditional static comparative methods, this study adopts an event study approach to dynamically capture the impact trajectory and temporal structure of enterprise innovation performance, with "entry into the park" serving as the key event.

Based on panel data …

The Impact Of Awards And Honors On Project Bidding, Ren Wang

Dissertations and Theses Collection (Open Access)

This dissertation conducts a systematic study on the successful transformation and upgrading of China's automotive industry over the past decade, especially the remarkable progress made in the field of Electric and Intelligent Vehicles, and examines how China's automotive industry chain has seized the historical opportunity of the great transformation of the global automotive industry by “Four Modernizations”—electrification, intelligentization, lightweighting and modularization along the path of "Independent Innovation", and realized the overall improvement of both corporate performance and industrial strength under the synergy of strategic investors.

China has newly become the world's largest automotive exporter and successfully built up an advantageous …

A Study On The Impact Of Second-Generation Involvement On Digital Transformation In Family Firms And Its Contingency Effects, Wenwu Shao

Dissertations and Theses Collection (Open Access)

Family firms, as a vital component of the global economy, dominate China's private sector. However, amid the global digital wave, they face dual challenges of generational transition and digital transformation. The involvement of second-generation successors profoundly influences strategic decision-making and digital transformation in family firms. Yet, existing research lacks a systematic theoretical framework and empirical evidence on the relationship between second-generation involvement and digital transformation in family firms, as well as its underlying mechanisms. The study thus examines the impact of second-generation involvement on digital transformation in family firms and its contingency effects.

Focusing on China's A-share listed family firms, …

Competency Of Sales Employees In Knowledge-Intensive Industries An Empirical Study Based On The Pharmaceutical Industry, Yue Zhang

Dissertations and Theses Collection (Open Access)

With the rapid development of modern technology, the pharmaceutical industry is undergoing a period of unprecedented change. On the one hand, global population growth, aging, and the continued increase in people's healthconcerns have led to an ever-expanding demand for the pharmaceutical market. On the other hand, a large amount of capital is pouring into the pharmaceutical field, prompting the emergence of new pharmaceutical enterprises, and the competition in the market is becoming increasingly heated. Against this backdrop, the replacement of pharmaceutical products has acceleratedsignificantly, with new therapeutic methods, pharmaceutical dosage forms andinnovative drugs being introduced to the market. At the …

Harnessing A Paradox Mindset To Straddle Two Worlds: The Relationship Between Paradox Mindset And Professional, Social, And Well-Being Outcomes Via Identity Integration Among Low-Ses College Students, Xiaoyu Dai

Dissertations and Theses Collection (Open Access)

Low-SES college students often face contradictory demands and expectations as they navigate between their home and college environments. Grounded in prior evidence demonstrating the benefits of a paradox mindset—characterized by “both/and” thinking and a tendency to accept, value, and feel comfortable with tensions—in situations that involve contradictions, this research hypothesized that a paradox mindset promotes professional, relational, and well-being outcomes among low-SES college students. Importantly, SES-college identity integration, defined as perceived blendedness and harmony between one’s socioeconomic class identity and college student identity, was proposed as a key mediating mechanism underlying these benefits. Three studies were conducted with low-SES undergraduate …

Digital Capabilities And Customer Service Levels Of Small And Medium Sized Manufacturing Enterprises, Yuegang Niu

Dissertations and Theses Collection (Open Access)

The level of customer service, as an important tool for the differentiatedcompetition of small and medium-sized manufacturing enterprises, has reshaped the value creation model of these enterprises. With the rise of service-oriented manufacturing enterprises under the "manufacturing service- oriented" model, this is a business model that combines manufacturing andservices. It not only provides physical products but also offers related value- added services. This indicates that small and medium-sized manufacturingenterprises urgently need to enhance their digital capabilities in the digital age to achieve dynamic upgrades and further improve their customer service capabilities. High-quality customer service capabilities have put forward newrequirements for …

The Message Framing Effects In The Process Of Health Behavior Change, Zixia Fang

Dissertations and Theses Collection (Open Access)

As a key means to promote health behavior change, information intervention has gradually attracted widespread attention from all walks of life. The same information presented in different ways may lead to different decision-making judgments, especially in the process of transmitting and receiving health information, which affects individual behavioral intentions and health consumption decisions. This information framing effect is considered by most scholars to be an important factor in health behavior intervention, but its specific mechanism of action in health behavior change has not been fully discussed. This paper constructs a theoretical model of information framing effect to explore the specific …

Essays On Labor And Family Economics, Yutao Wang

Dissertations and Theses Collection (Open Access)

This dissertation comprises three chapters that investigate the trade-offs between the quantity and quality of children, as well as trade-offs between female labor supply and family formation.

The first chapter investigates how family size shapes child migration in China, where most rural families have at least two children, and nearly 50% of children have migrant parents. We propose a model showing that, conditional on family size, boys and girls are equally likely to migrate with parents to cities. However, in societies with strong son preference, daughters' migration may still be constrained as they tend to have more siblings, and larger …

Temporal Relational Graph Convolutional Networks For Financial Applications, Brindha Priyadarshini Jeyaraman

Dissertations and Theses Collection (Open Access)

The financial industry operates within a highly dynamic and interconnected ecosystem, presenting unique challenges for predictive modeling and decision-making. Accurately forecasting financial performance, assessing credit risk, detecting fraud, and ensuring compliance require methodologies that can capture complex temporal, relational, and contextual dependencies within financial data. This thesis investigates the use of Temporal Relational Graph Convolutional Networks (TRGCNs) combined with financial knowledge graphs (FKGs) to address these challenges and enable advanced analytics in the financial domain. We introduce FintechKG, a financial knowledge graph constructed through a threedimensional information extraction process, incorporating entities, temporal dimensions, and domain-specific financial relationships. A TRGCN-based framework …

Corporate Environmental (Ir)Responsibility Of Chinese Construction Companies, Bin Zhang

Dissertations and Theses Collection (Open Access)

Grounded in a multi-stakeholder perspective, this study delves into the impact of Corporate Environmental Responsibility (CER) on the performance of firms in the Chinese construction industry. Utilizing a panel dataset of listed companies in the Chinese construction sector from 2008 to 2023, the research conducts empirical analysis by incorporating key stakeholder relationship indicators (customer concentration, government support, and bank loan costs) while controlling for firm characteristics, aiming to assess the effect of corporate environmental information disclosure on financial performance. The findings reveal that CER significantly positively affects financial performance. More crucially, this relationship is partly attributed to the strengthening of …

The Effects Of Financial Vulnerability On The Prosocial Behavior Of Medical Staff At Pet Hospitals, Guoxing Xu

Dissertations and Theses Collection (Open Access)

The coronavirus disease 2019 (COVID-19) pandemic has fundamentally disrupted business operations, causing widespread financial strain and uncertainty for employees, and research shows that financial vulnerability – the sense of insecurity regarding one’s economic resources – has reached unprecedented levels among workers. But while conventional wisdom might suggest that financial stress leads to decreased work performance, a critical gap exists in understanding how financial vulnerability influences employee behavior in service-oriented environments.

Therefore, this study investigated the relationship between financial vulnerability and employee behavior within the context of pet hospitals in China, examining how organizational factors moderate this relationship. Data were collected …

Interferometric Differential High-Frequency Lock-In Probe For Laser-Induced Vacuum Birefringence, R. G. Bullis, Ulrich D. Jentschura, D. C. Yost

Physics Faculty Research & Creative Works

We propose a measurement of laser-induced vacuum birefringence through the use of pulsed lasers coupled to femtosecond optical enhancement cavities. This measurement technique features cavity-enhanced pump and probe pulses, as well as an independent control pulse. The control pulse allows for a differential measurement where the final signal is obtained using high-frequency lock-in detection, greatly mitigating time-dependent cavity birefringence as an important and possibly prohibitive systematic effect. In addition, the method features the economical use of laser power and results in a relatively simple experimental setup.

Phases And Dynamics Of Quantum Droplets In The Crossover To Two-Dimensions, Jose Carlos Pelayo, George Bougas, Thomás Fogarty, Thomas Busch, Simeon I. Mistakidis

Physics Faculty Research & Creative Works

We explore the ground states and dynamics of ultracold atomic droplets in the crossover region from three to two dimensions by solving the two-dimensional and the quasi-two-dimensional extended Gross-Pitaevskii equations numerically and with a variational approach. By systematically comparing the droplet properties, we determine the validity regions of the pure two-dimensional description, and therefore the dominance of the logarithmic nonlinear coupling, as a function of the sign of the averaged mean-field interactions and the size of the transverse confinement. One of our main findings is that droplets become substantially extended upon transitioning from negative-to-positive averaged mean-field interactions. This is accompanied …

Spectral Width Of Maximum Deposition Eigenchannels In Diffusive Media, Rohin E. Mcintosh, Arthur Goetschy, Nicholas Bender, Alexey Yamilov, Chia Wei Hsu, Hasan Yllmaz, Hui Cao

Physics Faculty Research & Creative Works

The maximum deposition eigenchannel provides the largest possible power delivery to a target region inside a diffusive medium by optimizing the incident wavefront of a monochromatic beam. It originates from constructive interference of scattered waves, which is frequency sensitive. We investigate the spectral width of the maximum deposition eigenchannels over a range of target depths using numerical simulations of a 2D diffusive system. Compared to tight focusing into the system, power deposition to an extended region is more sensitive to frequency detuning. The spectral width of enhanced delivery to a large target displays a rather weak, nonmonotonic variation with target …

Tunable Pairing With Local Spin-Dependent Rydberg Molecule Potentials In An Atomic Fermi Superfluid, Chih Chun Chien, Seth T. Rittenhouse, S. I. Mistakidis, H. R. Sadeghpour

Physics Faculty Research & Creative Works

We explore the energy spectrum and eigenstates of two-component atomic Fermi superfluids with tunable pairing interactions in the presence of spin-dependent ultralong-range Rydberg molecule (ULRM) potentials, within the Bogoliubov-de Gennes formalism. The attractive ULRM potentials lead to local-density accumulation, while their difference results in a local polarization potential and induces the in-gap Yu-Shiba-Rusinov (YSR) states whose energies lie below the bulk energy gap. A transition from equal population to population imbalance occurs as the pairing strength falls below a critical value, accompanied by the emergence of local Fulde-Ferrell-Larkin-Ovchinnikov (FFLO)-like states characterized by out-of-phase wave functions and lower energies compared to …

Radiative Energy And Mass Shifts Of Quantum Cyclotron States, Ulrich D. Jentschura

Physics Faculty Research & Creative Works

Abstract: We discuss relativistic and radiative corrections to the energies of quantum cyclotron states. In particular, it is shown analytically that the leading logarithmic radiative (self-energy) correction to the bound-state energy levels of quantum cyclotron states is state independent and must be interpreted as a magnetic field-dependent correction to the electron's mass in a Penning trap.

Influence Of The Impact Parameter For Ionization Of Argon By Fast Positrons And Electrons On The Postcollision Kinematics And Triply Differential Spectra, Robert D. Dubois, K. Tokési

Physics Faculty Research & Creative Works

Classical trajectory Monte Carlo calculations for fast positron and electron impact ionization of argon are used to provide information about how the pre- and post collision kinematics alter the triply differential spectra. It is shown that in addition to the scattering direction expected for a positive or negative projectile passing near a partially screened nuclear charge, scattering in the opposite direction also occurs. Independent of energy transfer, when the impact parameter is less than the mean radius of the 3p electron cloud, the expected direction of scattering always occurs. In contrast, for scattering in the opposite direction, the impact parameter …

Silverrush. Xiv. Lyα Luminosity Functions And Angular Correlation Functions From 20,000 Lyα Emitters At Z ∼ 2.2-7.3 From Up To 24 Deg2 Hsc-Ssp And Chorus Surveys: Linking The Postreionization Epoch To The Heart Of Reionization, Hiroya Umeda, Masami Ouchi, Satoshi Kikuta, Yuichi Harikane, Yoshiaki Ono, Takatoshi Shibuya, Akio K. Inoue, Kazuhiro Shimasaku, Yongming Liang, Akinori Matsumoto, Shun Saito, Haruka Kusakabe, Yuta Kageura

Physics Faculty Research & Creative Works

We present luminosity functions (LFs) and angular correlation functions (ACFs) derived from 18,960 Lyα emitters (LAEs) at z = 2.2−7.3 over a wide survey area of ≲24 deg² that are identified in the narrowband data of the HSC-SSP and CHORUS surveys. Confirming the large sample with 241 spectroscopically identified LAEs, we determine Lyα LFs and ACFs in the brighter luminosity range down to 0.5L⋆, and confirm that our measurements are consistent with previous studies but offer significantly reduced statistical uncertainties. The improved precision of our ACFs allows us to clearly detect one-halo terms at some redshifts, and provides large-scale …

A Personalized And Adaptive Distribution Classification Of Actigraphy Segments Into Sleep-Wake States, Austin G. Vandegriffe, V. A. Samaranayake, Matthew S. Thimgan

Research Data

Wearable actimeters have the potential to greatly improve our understanding sleep in natural environments and in long-term experiments. Current technologies have served the sleep community well, but they have known weaknesses that introduce errors that can compromise reliable and relevant clinical and research sleep and wakefulness profiles from these data. Newer data collection technologies, such as microelectromechanical systems (MEMS), offer opportunities to gather movement data in different forms and at higher frequencies, making new analytical methods possible and potentially advantageous.

We have developed a novel statistical algorithm, called the Wasserstein Algorithm for Classifying Sleep and Wakefulness (WACSAW), that is based …

University Libraries Newsletter - Spring 2025, Missouri University Of Science And Technology

University Libraries Newsletters

No abstract provided.

The Emergence Of Artificial Intelligence-Driven Reservation Services Analyzed Through Push-Pull-Mooring Theory And Their Potential To Enhance Tourism Experiences, Dimitra Skandali, Muhammad Ali Raza

Journal of Global Hospitality and Tourism

Artificial intelligence-based bath bed reservation services signify a novel evaluation of consumer behavior in densely populated tourist destinations. The phenomenon of overcrowded beaches, particularly during the peak summer months at well-known public beaches in Europe, has increased demand during rush hours. The research aims to clarify the key factors that influence the use of these applications, primarily on mobile phones, by applying the Push-Pull-Mooring Theory, in addition to identifying the primary causes of the high demand and the importance of staying close to the shore when sunbathing. The study emphasizes the impact of perceived risk and enjoyment on user behavior, …

Estimation And Inference In A Possibly Multicointegrated System With A Fixed Number Of Instruments, Yixiao Sun, Peter C. B. Phillips, Igor L. Kheifets

Research Collection School Of Economics

This paper shows that the mixed normal asymptotic limit of the trend IV estimator with a fixed number of deterministic instruments (fTIV) holds in both singular (multicointegrated) and nonsingular cointegration systems, thereby relaxing the exogeneity condition in (Phillips and Kheifets, 2024, Theorem 1(ii)). The mixed normality of the limiting distribution of fTIV allows for asymptotically pivotal F and t tests about the cointegration parameters and for simple efficiency comparisons of the estimators for different numbers K of instruments, as well as comparisons with the trend IV estimator when K→∞ with the sample size.

Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information, Shujie Ma, Po-Yao Niu, Yichong Zhang, Yinchu Zhu

Research Collection School Of Economics

This article investigates statistical inference for noisy matrix completion in a semi-supervised model when auxiliary covariates are available. The model consists of two parts. One part is a low-rank matrix induced by unobserved latent factors; the other part models the effects of the observed covariates through a coefficient matrix which is composed of high-dimensional column vectors. We model the observational pattern of the responses through a logistic regression of the covariates, and allow its probability to go to zero as the sample size increases. We apply an iterative least squares (LS) estimation approach in our considered context. The iterative LS …