Digital Commons Network^™

Cochlear Implantation With Sporadic Inner Ear Schwannomas: Outcomes In 106 Patients From An International Multi-Institutional Study, John P. Marinelli, Torsten Rahne, James R. Dornhoffer, Christine M. Lohse, Justin Cottrell, J. Thomas Roland, Nicholas J. Thompson, Kevin D. Brown, Jacob C. Lucas, Seilesh C. Babu, Nathan R. Lindquist, Elizabeth L. Perkins, Donald Tan, John I. Lane, Jacob B. Hunter, Erin Harvey, Nicholas L. Deep, Samantha Y. Cerasiello, Matthew L. Kircher, Mana Espahbodi, Evan L. Tooker, Niels Cramer West, Per Caye-Thomasen, Matthew L. Carlson, Stefan K. Plontke

Department of Otolaryngology - Head and Neck Surgery Faculty Papers

OBJECTIVE: To evaluate cochlear implant speech perception among patients with sporadic inner ear schwannoma who underwent ipsilateral implantation.

STUDY DESIGN: Retrospective multi-institutional cohort study.

SETTING: Eleven tertiary academic medical centers across Germany, Denmark, and the United States.

PATIENTS: One hundred six patients with sporadic inner ear schwannoma who received an ipsilateral cochlear implant from 2011 to 2022.

INTERVENTIONS: Ipsilateral cochlear implantation with observation, stereotactic radiosurgery, or microsurgery for tumor management.

MAIN OUTCOME MEASURES: Monosyllabic speech perception testing scores and rates of open-set speech perception.

RESULTS: Among 106 patients studied, 101 (95%) achieved open-set speech perception with a median of 24 …

Improved Survival With Phosphodiesterase-5 Inhibitor Use In Men With Male-Predominant Cancers: Real-World Large Database Study, Daniel Uralov, Sarah R. Harrington, Hani Samarah, Anika S. Walia, Marina Aweeda, Manal U. Mustafa, Parvesh Kumar, Andrew Briskin, Julian Jackson, Eric Mastrolonardo, Adam J. Luginbuhl

Department of Otolaryngology - Head and Neck Surgery Faculty Papers

INTRODUCTION: Phosphodiesterase-5 (PDE5) inhibitors, commonly prescribed for erectile dysfunction, may exhibit immunomodulatory properties by reducing myeloid-derived suppressor cell activity and enhancing T-cell responses. This study evaluated the association between PDE5 inhibitor use and overall survival (OS) in male-predominant solid organ malignancies.

METHODS: Male-predominant solid tumors were identified using male-to-female incidence ratio ≥3:1 in SEER database: prostate, bladder, colon, esophageal, hypopharyngeal, laryngeal, tonsillar, and testicular cancers. Using the TriNetX Research Network, we compared male patients prescribed PDE5 inhibitors within 6 months of cancer diagnosis to those without PDE5 exposure. Propensity score matching (PSM) was performed on demographic, clinical, and oncologic variables. …

Exodus. Teacher's Edition: Adult Sabbath School Bible Study Guide, Jiri Moskala

All Books

No abstract provided.

Return Serve: Exploring The Dialogism Of The Australia-China Relationship In Media Coverage Between 2020-2022, Jordan Hogan

Theses: Doctorates and Masters

Australia and the People’s Republic of China (PRC) have a dynamic bilateral relationship that is defined by interdependency and mutual political scepticism. This thesis provides an analysis of Australian and Chinese news media perspectives on this relationship. Via an in-depth examination of opinion pieces from national press, I map the significant developments of a period of deteriorating relations between 2020 and 2022. My study captures the more prominent, parochial and vitriolic media coverage of the unravelling relationship, and investigates the motivations, developments, differences, and similarities in the online publications of Australia’s national daily newspaper The Australian, and China’s Global Times. …

The First International Study Into The Characteristics And Statistical Effectiveness Of Treatment For Indigenous And First Nations People Who Have Sexually Offended: A Meta-Analysis And Survey Of Routine Practice, James Finney

Theses: Doctorates and Masters

Psycho-criminological literature has continued to examine post-treatment recidivism outcomes homogeneously for people who have sexually offended. Because results indicate clear differences between Indigenous and non-Indigenous people who have sexually offended, this project set out to understand the characteristics and effectiveness of treatment for Indigenous and First Nations people from four jurisdictions: Australia, New Zealand, Canada and the United States. A strategic three study strategy was implemented and resulted in a systematic narrative synthesis, meta-analysis and survey of sexual offender treatment organisations in Australia. The systematic review used a comprehensive and scientifically rigorous approach to identify studies (k = 14) that …

Early, Standardised, And Precise Treatment Of Copd Exacerbations And Covid-19, Sanjay Ramakrishnan

Theses: Doctorates and Masters

Background: Background Chronic Obstructive Pulmonary Disease (COPD) is a common chronic condition causing significant morbidity and mortality. Patients with COPD report sudden episodes of deteriorating respiratory symptoms called exacerbations, often presumed to be precipitated by infections. COPD is in the top 5 causes of death globally. COPD exacerbations drive a large proportion of these deaths. Despite this, there is no standardised model of care for the sickest patients who need hospitalisations for exacerbations. Meanwhile, treatment for COPD exacerbations continues to be guided by symptoms, instead of underlying biology. Most patients are treated with unnecessary and harmful systemic corticosteroids. During the …

Marrying Top-K With Skyline Queries: Operators With Relaxed Preference Input And Controllable Output Size, Kyriakos Mouratidis, Keming Li, Bo Tang

Research Collection School Of Computing and Information Systems

The two most common paradigms to identify records of preference in a multi-objective setting rely either on dominance (e.g., the skyline operator) or on a utility function defined over the records' attributes (typically, using a top-k query). Despite their proliferation, each of them has its own palpable drawbacks. Motivated by these drawbacks, we identify three hard requirements for practical decision support, namely, personalization, controllable output size, and flexibility in preference specification. With these requirements as a guide, we combine elements from both paradigms and propose two new operators, ORD and ORU. We perform a qualitative study to demonstrate how they …

Bi-Objective Dynamic Tugboat Scheduling With Speed Optimization Under Stochastic And Time-Varying Service Demands, Xiaoyang Wei, Hoong Chuin Lau, Zhe Xiao, Xiuju Fu, Xiaocai Zhang, Zheng Qin

Research Collection School Of Computing and Information Systems

With the growing emphasis on green shipping to reduce the environmental impact of maritime transportation, optimizing fuel consumption with maintaining high service quality has become critical in port operations. Ports are essential nodes in global supply chains, where tugboats play a pivotal role in the safe and efficient maneuvering of ships within constrained environments. However, existing literature lacks approaches that address tugboat scheduling under realistic operational conditions. To fill the research gap, this is the first work to propose the bi-objective dynamic tugboat scheduling problem that optimizes speed under stochastic and time-varying demands, aiming to minimize fuel consumption and manage …

Measuring Model Alignment For Code Clone Detection Using Causal Interpretation, Shamsa Abid, Xuemeng Cai, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Deep Neural Network-based models have demonstrated high accuracy for semantic code clone detection. However, the lack of generalization poses a threat to the trustworthiness and reliability of these models. Furthermore, the black-box nature of these models makes interpreting the model’s decisions very challenging. Currently, there is only a limited understanding of the semantic code clone detection behavior of existing models. There is a lack of transparency in understanding how a model identifies semantic code clones and the exact code components influencing its prediction. In this paper, we introduce the use of a causal interpretation framework based on the Neyman-Rubin causal …

Weakly-Supervised Semantic Segmentation With Image-Level Labels: From Traditional Models To Foundation Models, Zhaozheng Chen, Qianru Sun

Research Collection School Of Computing and Information Systems

The rapid development of deep learning has driven significant progress in image semantic segmentation—a fundamental task in computer vision. Semantic segmentation algorithms often depend on the availability of pixel-level labels (i.e., masks of objects), which are expensive, time consuming, and labor intensive. Weakly supervised semantic segmentation (WSSS) is an effective solution to avoid such labeling. It utilizes only partial or incomplete annotations and provides a cost-effective alternative to fully supervised semantic segmentation. In this article, our focus is on the WSSS with image-level labels, which is the most challenging form of WSSS. Our work has two parts. First, we conduct …

Transforming Urban Dynamics: Harnessing Large Language Models For Smarter Mobility, Hao Xue, Ming Jin, Shirui Pan, Flora Salim, Guansong Pang

Research Collection School Of Computing and Information Systems

Artificial intelligence (AI) has the potential to analyze mobility data and make mobility systems smarter by leveraging diverse data sources such as geospatial data, transportation logs, and real-time sensor data to optimize traffic flow, enhance public transportation systems, and support the development of autonomous vehicles. With the newly emerged generative AI paradigm, exemplified by large language models (LLMs), there is great potential to transform the current AI applications in mobility, transportation, and urban domains. This article provides an overview of recent efforts and aims to shed light on the challenges and future opportunities to facilitate the adaptation of LLMs for …

Constitutional Comparisons And Language, De Maartje Visser

Research Collection Yong Pung How School Of Law

Language can be seen as an intuitive challenge for those who embark on comparative constitutional research: its intricate entanglement with law is often overlooked and not engaged with explicitly. This chapter argues that this is a missed opportunity at best, and arguably presents a hazard for the collective quality of the scholarly discourse. It discusses four ways in which language matters when engaging in constitutional comparisons: the problem of literal translation; the problem of legal-conceptual translation; a multilingual discourse that is marked by fragmentation; and expectations in communication with a foreign or international readership. The approach taken is constructive, with …

Ai Characterisations And Their Legal Implications, Jerrold Tsin Howe Soh

Research Collection Yong Pung How School Of Law

This chapter examines the difficult legal characterisation problems that artificially intelligent systems raise and explores how different characterisations of artificial intelligence (AI) shape practical legal outcomes. Three reasons are offered for the legal difficulty with characterising AI. First, answers to characterisation problems are inherently subjective and perspective-driven, particularly when the subject is an intangible technological system. Second, AI technology is especially difficult to define since the field typically proceeds on inexact anthropomorphic metaphors. Third, AI characterisation problems raise difficult sub-problems, particularly in determining how autonomous an AI system is. The chapter thus argues that a range of plausible AI characterisations …

Attribute-Based Encryption With Searchable Encryption, Yang Yang

Research Collection School Of Computing and Information Systems

Attribute-based encryption (ABE) with searchable encryption is a notion that inherits the advantages of both ABE (Goyal et al., 2006) and searchable encryption (SE) (Boneh et al., 2004; Boneh and Waters, 2007) mechanisms to realize secure share and search for the outsourced data. ABE creates fine-grained access control system to prevent sensitive data from being accessed by unauthorized user or external attacker (Bethencourt et al., 2007). SE generates encrypted index for outsourced data such that it can be searched by a keyword trapdoor (or token) (Shi et al., 2007; Naveed et al., 2014), where the outsourced content and search keyword(s) …

Gnnsynergy: A Multi-View Graph Neural Network For Predicting Anti-Cancer Drug Synergy, Zhifeng Hao, Jianming Zhan, Yuan Fang, Min Wu, Ruichu Cai

Research Collection School Of Computing and Information Systems

Drug combinations play very important roles in cancer therapy, as they can enhance curative efficacy and overcome drug resistance. Due to the increasing size of combinatorial space, experimental screening for all the drug combinations becomes infeasible in practice. Therefore, there is a great need to develop accurate computational approaches that can predict potential drug combinations to direct the experimental screening. In this paper, we propose a novel method called GNNSynergy to learn drug embeddings for drug synergy prediction. Given a specific cancer cell line, we propose a multi-view graph neural network framework which considers the current cell line as main …

An End-To-End Bi-Objective Approach To Deep Graph Partitioning, Pengcheng Wei, Yuan Fang, Zhihao Wen, Zheng Xiao, Binbin Chen

Research Collection School Of Computing and Information Systems

Graphs are ubiquitous in real-world applications, such as computation graphs and social networks. Partitioning large graphs into smaller, balanced partitions is often essential, with the biobjective graph partitioning problem aiming to minimize both the“cut” across partitions and the imbalance in partition sizes. However, existing heuristic methods face scalability challenges or overlook partition balance, leading to suboptimal results. Recent deep learning approaches, while promising, typically focus only on node-level features and lack a truly end-to-end framework, resulting in limited performance. In this paper, we introduce a novel method based on graph neural networks (GNNs) that leverages multilevel graph features and addresses …

Ni/Nb2o5 As A Noble-Metal-Free Catalyst For The Chemical Upcycling Of Waste Polyolefin Plastics, Chi Wing, Alex Tsang

Department of Construction, Environment and Engineering

The resource utilization of waste polyolefin plastics is expected to be achieved through upgrading and reconstruction processes, but the primary scientific challenge lies in the development of efficient and cost-effective catalysts. In this paper, we present Ni nanoparticles supported on Nb₂O₅ with tunable acid sites (Ni/Nb2O5-T) as noble-metal-free catalysts for the upcycling of waste plastics. These catalysts efficiently facilitate a one-pot, solvent-free hydrogenolysis-isomerization of waste plastics, converting them into aromatic-free, highly branched alkane aviation fuels under mild conditions. Notably, the bifunctional Ni/Nb2O5-400 catalyst, characterized by highly dispersed metallic Ni sites and strong Brønsted acid sites, promotes key reactions such as …

The Effectiveness Of Local Updates For Decentralized Learning Under Data Heterogeneity, Tongle Wu, Zhize Li, Ying Sun

Research Collection School Of Computing and Information Systems

We revisit two fundamental decentralized optimization methods, Decentralized Gradient Tracking (DGT) and Decentralized Gradient Descent (DGD), with multiple local updates. We consider two settings and demonstrate that incorporating local update steps can reduce communication complexity. Specifically, for  $\mu$-strongly convex and $L$-smooth loss functions, we proved that local DGT  achieves communication complexity {}{$\tilde{\mathcal{O}} \Big(\frac{L}{\mu(K+1)} + \frac{\delta + {}{\mu}}{\mu (1 - \rho)} + \frac{\rho }{(1 - \rho)^2} \cdot \frac{L+ \delta}{\mu}\Big)$}, where $K$ is the number of additional local update}, $\rho$ measures the network connectivity and $\delta$ measures the second-order heterogeneity of the local losses. Our results reveal the tradeoff between communication and …

Governing Intelligence: Singapore’S Evolving Ai Governance Framework, Jason G. Allen, Jane Loo, Jose Luna

Research Collection Yong Pung How School Of Law

This paper provides an outline analysis of the evolving governance framework for Artificial Intelligence (AI) in Singapore. Across the Singapore government, AI solutions are being adopted in line with Singapore’s “Smart Nation Initiative” to leverage technology to make impactful changes to the nation and the economy. In tandem, Singaporean authorities have been assiduous to release a growing number of governance documents, which we analyse together to chart the city-state’s approach to AI governance in international comparison. Characteristics of Singapore’s AI governance approach include an emphasis on consensusbuilding between stakeholders (particularly government and industry but also citizens) andvoluntary or “quasi” regulation, …

Andrew Phang (Gen. Ed.), Pioneer, Polymath And Mentor: The Life And Legacy Of Yong Pung How, Kwan Ho Lau, Bryan Leow

Research Collection Yong Pung How School Of Law

Many know the story of modern Singapore in broad outline. When the country attained independence in 1965, it was not industrialised and fishing villages still dotted the landscape. By 1990, GDP per capita had risen to around US$13,000, far exceeding its neighbours and on par with Hong Kong and New Zealand. A further three decades on, Singapore today boasts gleaming skyscrapers, well-developed infrastructure and a high degree of trust by residents and investors alike in its government.

Human Rights At Sea: Analyzing States' Responses To Cruise Ships During The Covid-19 Pandemic, Lixin Chen

Research Collection Yong Pung How School Of Law

In the early stages of the COVID-19 pandemic, the treatment of cruise ships by coastal states was inconsistent, with some ships being allowed to dock while others were not. To that end, this Note focuses on the obligations that a coastal state owes to the individuals onboard the cruise ships in the context of the COVID-19 pandemic, including the rights to life and health. It further considers whether and how such rights are to be balanced with other countervailing considerations of such states, such as the risk of transmission to the local communities. This author concludes with the view that …

The Role Of Game-Based Learning Simulation To Enhance Leadership In Pandemic Preparedness For Nursing Students, Scott James Andrews

Theses: Doctorates and Masters

During the COVID-19 pandemic, nurses around the world suffered with the impact of resource scarcity on the provision of quality nursing care to patients. Nursing staff were at higher risk of infection than all other healthcare workers, with working conditions during the pandemic resulting in significant staffing pressures. The challenges faced by staff during the pandemic inevitably influenced the quality and delivery of clinical education, highlighting the need for innovative solutions such as digital learning to address emerging training needs. Further, the impact of COVID-19 restrictions on clinical education has highlighted the benefits of digital learning environments as alternatives to …

Financial Named Entity Recognition: How Far Can Llm Go?, Yi-Te Lu, Yintong Huo

Research Collection School Of Computing and Information Systems

The surge of large language models (LLMs) has revolutionized the extraction and analysis of crucial information from a growing volume of financial statements, announcements, and business news. Recognition for named entities to construct structured data poses a significant challenge in analyzing financial documents and is a foundational task for intelligent financial analytics. However, how effective are these generic LLMs and their performance under various prompts are yet need a better understanding. To fill in the blank, we present a systematic evaluation of state-of-the-art LLMs and prompting methods in the financial Named Entity Recognition (NER) problem. Specifically, our experimental results highlight …

Decentering Property In Fourth Amendment Law, Michael C. Pollack, Matthew Tokson

Articles

For the past several decades, privacy has been the primary conceptual foundation for Fourth Amendment search law. The canonical test for Fourth Amendment searches accordingly looks to whether the government has violated a person’s reasonable expectation of privacy. Yet privacy is no longer the sole determinant of Fourth Amendment protection, as the Supreme Court has recently added a property-based test to address cases involving physical intrusions on land or chattel. Further, given the ambiguity of the reasonable expectation of privacy test, a variety of influential judges and scholars have proposed relying primarily, or even exclusively, on property in determining the …

Property And Information, Jeanne L. Schroeder, David G. Carlson

Articles

The article proceeds as follows. As the information theory is a reaction to legal realism, Part I explores its antecedents in the work of Wesley Newcomb Hohfeld and Ronald H. Coase. Part II presents the information theory as arising from Professor Smith’s interpretation of the Coase theorem.11 In the imaginary world of TC0, we are supposedly indifferent to organizing by property and organizing by contract. Property eclipses contract as the organon of the economy because property reduces the cost of delineation and processing—of speaking and comprehending. We show that this theory is founded on a misunderstanding of Coase. Part III …

Education And Eschatology: Why Theological Education Is Necessary, Jiri Moskala

Faculty Publications

No abstract provided.

Exploring Characteristics Of Indiana's Local Park And Recreation Leaders, Amy L. Gregg, James A. Jones, Halyn Ferris

Midwest Social Sciences Journal

This was an exploratory study about the characteristics of Indiana’s local leaders in parks and recreation. Results of a statewide survey showed different roles of employees and volunteers in local agencies. In managing the supply side of recreation, they reported vast differences in scale of levels of populations served and natural resources managed, such as acres and trails. The Northern, Central and Southern regions were compared for types of local government, communities of different sizes, and nonprofit collaboration. Local leaders represented municipal, township and county providers collaborating with other local community organizations. Results showed that size of community served affected …

Submission Guidelines

Midwest Social Sciences Journal

No abstract provided.

Language Assessment In Pediatric Speech-Language Pathology, Sierra Kay Buscher

Honors Program Theses

Standardized language assessments of children are commonly used to diagnose language disorders, yet these tools are often normed on a narrow demographic of monolingual, middleclass, white children. This narrow normative data has led to misdiagnosis of children who fall outside of the norm created. Studies highlight how cultural, linguistic, and normative test biases disproportionately affect children who speak non-mainstream dialects, are multilingual, have disabilities, or are from lower socioeconomic backgrounds. The findings of this literature review calls attention to a disconnect between research, policy, and clinical practice, indicating that SLPs rely on standardized assessment tools out of accessibility or in …

Language As Privilege: Socioeconomic Status And The Politics Of Foreign Language Learning, Brenda Koumondji

Honors Program Theses

This study investigates the relationship between socioeconomic status (SES) and foreign language learning among young adult learners. Much research suggests that parental education level, household income, and access to educational resources significantly shape language learning attitudes and behaviors. However, United States scholars have lagged in this analysis. Through a mixed-methods research approach, this study combines quantitative surveys and qualitative data to gather comprehensive insights on how SES influences foreign language acquisition, motivation, and advantages. Findings reveal that students with higher SES backgrounds consistently report greater access to language learning resources and significantly higher proficiency levels. While parental education might not …