Digital Commons Network^™

Roflumilast Cream, 015%, For Atopic Dermatitis In Adults And Children: Integument-1 And Integument-2 Randomized Clinical Trials, Eric L Simpson, Lawrence F Eichenfield, Javier Alonso-Llamazares, Zoe D Draelos, Laura K Ferris, Seth B Forman, Melinda Gooderham, Mercedes E Gonzalez, Adelaide A Hebert, Leon H Kircik, Mark Lomaga, Angela Moore, Kim A Papp, Vimal H Prajapati, Diane Hanna, Scott Snyder, David Krupa, Patrick Burnett, Erin Almaraz, Robert C Higham, David H Chu, David R Berk

Faculty, Staff and Student Publications

Importance: Safe, effective, and well-tolerated topical treatment options available for long-term use in patients with atopic dermatitis (AD) are limited and associated with low adherence rates.

Objective: To evaluate efficacy and safety of once-daily roflumilast cream, 0.15%, vs vehicle cream in patients with AD.

Design, setting, and participants: Two phase 3, randomized, double-blind, vehicle-controlled trials (Interventional Trial Evaluating Roflumilast Cream for the Treatment of Atopic Dermatitis 1 and 2 [INTEGUMENT-1 and INTEGUMENT-2]), included patients from sites in the US, Canada, and Poland. Participants were 6 years or older with mild to moderate AD based on Validated Global Assessment for Atopic …

Ink (2024)

Ink, 2008-

The student-run features magazine covering the fashion, art, music and culture worlds at VCU and in Richmond. Published annually in print and updated regularly online.

Combined Single-Shot Intra-Articular Injection Of Ropivacaine And Contrast Media For Magnetic Resonance Imaging: Surgical Decision Making For Hip Arthroscopy In Young Patients, Neil Sarna, Gabriel I. Onor, Kathleen E. Schenker, Alvin W. Su

Rothman Institute Papers

Introduction:

Hip impingement syndrome with labral tear is debilitating for young patients. When magnetic resonance arthrogram (MRA) is equivocal for surgical decision making, an additional intra-articular diagnostic injection (IA) can further confirm the diagnosis. We assessed the effectiveness on surgical decision making by combining hip MRA + IA in one single procedure.

Methods:

We conducted a retrospective review of a prospectively enrolled cohort of patients with hip impingement syndrome who underwent a combined MRA + IA procedure. A 10-mL cocktail containing 0.2% ropivacaine and Omnipaque 300 contrast media was injected into the hip joint, followed by magnetic resonance scanning, in …

The Liability Of Classification Societies : A Comparative Study With A Focus On Criminal Liability Under The Law Of The Republic Of Korea And Other Jurisdictions, Hyunho Kim

World Maritime University Dissertations

No abstract provided.

Dc-Instruct : An Effective Framework For Generative Multi-Intent Spoken Language Understanding, Bowen Xing, Lizi Liao, Minlie Huang

Research Collection School Of Computing and Information Systems

In the realm of multi-intent spoken language understanding, recent advancements have leveraged the potential of prompt learning frameworks. However, critical gaps exist in these frameworks: the lack of explicit modeling of dual-task dependencies and the oversight of task-specific semantic differences among utterances. To address these shortcomings, we propose DC-Instruct, a novel generative framework based on Dual-task Inter-dependent Instructions (DII) and Supervised Contrastive Instructions (SCI). Specifically, DII guides large language models (LLMs) to generate labels for one task based on the other task’s labels, thereby explicitly capturing dual-task inter-dependencies. Moreover, SCI leverages utterance semantics differences by guiding LLMs to determine whether …

Revisiting Conversation Discourse For Dialogue Disentanglement, Bobo Li, Hao Fei, Fei Li, Shengqiong Wu, Lizi Liao, Yinwei Wei, Tat-Seng Chua, Donghong Ji

Research Collection School Of Computing and Information Systems

Dialogue disentanglement aims to detach the chronologically ordered utterances into several independent sessions. Conversation utterances are essentially organized and described by the underlying discourse, and thus dialogue disentanglement requires the full understanding and harnessing of the intrinsic discourse attribute. In this article, we propose enhancing dialogue disentanglement by taking full advantage of the dialogue discourse characteristics. First of all, in feature encoding stage, we construct the heterogeneous graph representations to model the various dialogue-specific discourse structural features, including the static speaker-role structures (i.e., speaker-utterance and speaker-mentioning structure) and the dynamic contextual structures (i.e., the utterance-distance and partial-replying structure). We then …

Improving Conversational Recommender System Via Contextual And Time-Aware Modeling With Less Domain-Specific Knowledge, Lingzhi Wang, Shafiq Joty, Wei Gao, Xingshan Zeng, Kam-Fai Wong

Research Collection School Of Computing and Information Systems

Conversational Recommender Systems (CRS) has become an emerging research topic seeking to perform recommendations through interactive conversations, which generally consist of generation and recommendation modules. Prior work on CRS tends to incorporate more external and domain-specific knowledge like item reviews to enhance performance. Despite the fact that the collection and annotation of the external domain-specific information needs much human effort and degenerates the generalizability, too much extra knowledge introduces more difficulty to balance among them. Therefore, we propose to fully discover and extract the internal knowledge from the context. We capture both entity-level and contextual-level representations to jointly model user …

A Comprehensive Survey On Relation Extraction: Recent Advances And New Frontiers, Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu

Research Collection School Of Computing and Information Systems

Relation extraction (RE) involves identifying the relations between entities from underlying content. RE serves as the foundation for many natural language processing (NLP) and information retrieval applications, such as knowledge graph completion and question answering. In recent years, deep neural networks have dominated the field of RE and made noticeable progress. Subsequently, the large pre-trained language models (PLMs) have taken the state-of-the-art RE to a new level. This survey provides a comprehensive review of existing deep learning techniques for RE. First, we introduce RE resources, including datasets and evaluation metrics. Second, we propose a new taxonomy to categorize existing works …

Politically Connected Firms And The Cash Flow Sensitivity Of Cash: International Evidence, Yuanto Kusnadi

Research Collection School Of Accountancy

This paper examines the role of political connections on the cash flow sensitivity of cash using a sample of international firms. The finding reveals that the cash flow sensitivity of cash is lower for politically connected firms than their non-connected counterparts, which is supportive of the precautionary motive of cash holdings. Further analyses reveal that the result is driven by political connections that are made through the directors of the firms and with members of parliament, as well as by differences in country-level institutional infrastructure. Overall, the empirical results corroborate that of previous studies on the relevance of the precautionary …

Discretionary Dissemination On Twitter, Richard M. Crowley, Wenli Huang, Hai Lu

Research Collection School Of Accountancy

The study provides large-scale descriptive evidence on the timing and nature of corporate financial tweeting. Using an unsupervised machine learning approach to analyze 24 million tweets posted by S&P 1500 firms from 2012 to 2020, we find that firms are more likely to tweet financial information around significantly negative or positive news events, such as earnings announcements and the filing of financial statements. This convex U-shaped relation between the likelihood of posting financial tweets and the materiality of accounting events becomes stronger over time. Whereas research based on early samples concludes that firms are less likely to disseminate financial information …

Public Enforcement Through Independent Directors, Xiaoxi Li, Pingui Rao, Yong George Yang, Heng Yue

Research Collection School Of Accountancy

We examine how public enforcement and private enforcement interact to contain self-dealing activities in emerging markets. Using data from China, we find that firms receiving comment letters concerning related party transactions (RPTs) from stock exchanges significantly reduce their RPTs in subsequent years. We further find that (1) the subsequent reduction in RPTs is more pronounced when independent directors have higher career or reputation concerns and (2) independent directors are more likely to dissent or resign if their firms do not significantly reduce RPTs after receiving RPT comment letters, especially if they have high reputation concerns. Our study sheds light on …

Making Accounting Education Fit For Purpose For The New Economy, Yew Kee Ho, Jean Liu, Sze Kee Koh, Kai Teck Ng, Sa-Pyung Sean Shin, Tin Wee Tan, Yuanto Zhu Kusnadi

Research Collection School Of Accountancy

The accountancy profession faces one of its most challenging periods as several factors converge to disrupt it. Technological advancements, the expanding role of accountants, declining student interest in accountancy, and increasing expectations for uniquely human capital all exert pressure on the profession to reinvent itself or face marginalisation. This study, funded by the Institute of Singapore Chartered Accountants (ISCA), examines trends in the accountancy profession alongside accountancy education in Singapore. Its goal is to formulate a fit-for-purpose accountancy education for the new economy.

Politicians’ Green Incentives And External Auditing, Ole-Kristian Hope, Heng Yue, Qinlin Zhong

Research Collection School Of Accountancy

This paper examines whether and how politicians’ green incentives affect external auditing. Specifically, we investigate the effects of China’s Green Audit of Outgoing Officials (GAOO) policy, which directly links environmental performance to public officials’ promotions. Employing a DID approach, we observe a significant reduction in audit fees for high-polluting firms after the implementation of GAOO. The decrease is stronger among firms located in regions with departing public officials. We identify two channels driving this trend: (1) Auditors rely on public information generated from intensified governmental efforts, thereby economizing on their efforts (i.e., a substitution effect); (2) High-polluting firms improve their …

Large Language Models For Software Engineering: A Systematic Literature Review, Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John Grundy, Haoyu Wang

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have significantly impacted numerous domains, including Software Engineering (SE). Many recent publications have explored LLMs applied to various SE tasks. Nevertheless, a comprehensive understanding of the application, effects, and possible limitations of LLMs on SE is still in its early stages. To bridge this gap, we conducted a Systematic Literature Review (SLR) on LLM4SE, with a particular focus on understanding how LLMs can be exploited to optimize processes and outcomes. We selected and analyzed 395 research articles from January 2017 to January 2024 to answer four key Research Questions (RQs). In RQ1, we categorize different LLMs …

Balancing Visual Context Understanding In Dialogue For Image Retrieval, Zhaohui Wei, Lizi Liao, Xiaoyu Du, Xinguang Xiang

Research Collection School Of Computing and Information Systems

In the realm of dialogue-to-image retrieval, the primary challenge is to fetch images from a pre-compiled database that accurately reflect the intent embedded within the dialogue history. Existing methods often overemphasize inter-modal alignment, neglecting the nuanced nature of conversational context. Dialogue histories are frequently cluttered with redundant information and often lack direct image descriptions, leading to a substantial disconnect between conversational content and visual representation. This study introduces VCU, a novel framework designed to enhance the comprehension of dialogue history and improve cross-modal matching for image retrieval. VCU leverages large language models (LLMs) to perform a two-step extraction process. It …

Eyetraes : Fine-Grained, Low-Latency Eye Tracking Via Adaptive Event Slicing, Argha Sen, Panahetipola Mudiyanselage Nuwan Bandara, Ila Gokarn, Thivya Kandappu, Archan Misra

Research Collection School Of Computing and Information Systems

Eye-tracking technology has gained significant attention in recent years due to its wide range of applications in humancomputer interaction, virtual and augmented reality, and wearable health. Traditional RGB camera-based eye-tracking systems often struggle with poor temporal resolution and computational constraints, limiting their effectiveness in capturing rapid eye movements. To address these limitations, we propose EyeTrAES, a novel approach using neuromorphic event cameras for high-fidelity tracking of natural pupillary movement that shows significant kinematic variance. One of EyeTrAES’s highlights is the use of a novel adaptive windowing/slicing algorithm that ensures just the right amount of descriptive asynchronous event data accumulation within …

Strength Lies In Differences! Improving Strategy Planning For Non-Collaborative Dialogues Via Diversified User Simulation, Tong Zhang, Chen Huang, Yang Deng, Hongru Liang, Jia Liu, Zujie Wen, Wenqiang Lei, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

We investigate non-collaborative dialogue agents, which are expected to engage in strategic conversations with diverse users, for securing a mutual agreement that leans favorably towards the system’s objectives. This poses two main challenges for existing dialogue agents: 1) The inability to integrate user-specific characteristics into the strategic planning, and 2) The difficulty of training strategic planners that can be generalized to diverse users. To address these challenges, we propose TRIP to enhance the capability in tailored strategic planning, incorporating a user-aware strategic planning module and a population-based training paradigm. Through experiments on benchmark non-collaborative dialogue tasks, we demonstrate the effectiveness …

Unlocking Markets: A Multilingual Benchmark To Cross-Market Question Answering, Yifei Yuan, Yang Deng, Anders Sogaard, Mohammad Alliannejadi

Research Collection School Of Computing and Information Systems

Users post numerous product-related questions on e-commerce platforms, affecting their purchase decisions. Product-related question answering (PQA) entails utilizing product-related resources to provide precise responses to users. Wepropose a novel task of Multilingual Crossmarket Product-based Question Answering (MCPQA) and define the task as providing answers to product-related questions in a main marketplace by utilizing information from another resource-rich auxiliary marketplace in a multilingual context. We introduce a largescale dataset comprising over 7 million questions from 17 marketplaces across 11 languages. We then perform automatic translation on the Electronics category of our dataset, naming it as McMarket. We focus on two subtasks: …

Predicting Human Chess Moves With Large Language Models, Benjamin Kreiger

USF Tampa Graduate Theses and Dissertations

As artificial intelligence (AI) surpasses human performance in more tasks, the interest in leveraging and collaborating with this technology for greater productivity continues to grow. However, the black-box nature of current AI can make it difficult to interpret and unsuitable to perform tasks that are more complex and require human intuition. This has led to the pursuit of AI systems that can model individual behavior. Chess offers an ideal environment to explore this task due to its complexity, structure, and the abundance of data containing unique human decision-making examples. Given that a chess game can be fully represented with text, …

Interest Groups And Central Banking, Louis Rouanet, Michael Wroblewski

Hunt Institute Working Paper Series

This chapter offers an alternative approach to the public interest theory of central banking.Instead of interpreting the history of central banking as attempts to solve market failures, we suggest that central bank behavior can be best explained by studying the constraints faced by members of various interest groups, including members of the central banks themselves. Instead of looking uniquely at how private decisions in commercial markets shape central banks’ decisions, we argue that central bank behavior is best predicted when applying the tools of economics to politics, i.e., when using Public Choice.

Agenda 2024-11, Staff Council

Staff Advisory Council Meeting Agendas

A meeting agenda is a list of the topics that will be discussed during a meeting, along with other details. The agenda is usually shared with participants before the meeting so they can prepare. The agenda's purpose is to give participants a clear outline of what should happen in the meeting, who will lead each task, and how long each step should take.

2024 Georgia Library Association Scholarship Recipients, Alyssa Kowis

Georgia Library Quarterly

No abstract provided.

Reconstructing Citizenship, Jenny E. Carroll, James Jeter

Faculty Scholarship

In our republican democracy, voting is a central right of citizenship. Yet millions of voters are routinely disenfranchised as a result of convictions or because their carceral status creates barriers to voting. In the past decade, academic scholarship has focused on the impact of disenfranchisement based on conviction. This work has mapped the legal and social implications of policies that deny voting rights to over five million otherwise eligible voters nationwide. Yet this work has some gaps. First, by focusing solely on conviction-based disenfranchisement, the existing scholarship has largely ignored fatal barriers to voting created (and at times perpetuated) by …

Solid Tumour-Induced Systemic Immunosuppression Involves Dichotomous Myeloid-B Cell Interactions, Xiaoxin Hao, Yichao Shen, Jun Liu, Angela Alexander, Ling Wu, Zhan Xu, Liqun Yu, Yang Gao, Fengshuo Liu, Hilda L Chan, Che-Hsing Li, Yunfeng Ding, Weijie Zhang, David G Edwards, Nan Chen, Azadeh Nasrazadani, Naoto T Ueno, Bora Lim, Xiang H-F Zhang

Faculty, Staff and Students Publications

Solid tumours induce systemic immunosuppression that involves myeloid and T cells. B cell-related mechanisms remain relatively understudied. Here we discover two distinct patterns of tumour-induced B cell abnormality (TiBA; TiBA-1 and TiBA-2), both associated with abnormal myelopoiesis in the bone marrow. TiBA-1 probably results from the niche competition between pre-progenitor-B cells and myeloid progenitors, leading to a global reduction in downstream B cells. TiBA-2 is characterized by systemic accumulation of a unique early B cell population, driven by interaction with excessive neutrophils. Importantly, TiBA-2-associated early B cells foster the systemic accumulation of exhaustion-like T cells. Myeloid and B cells from …

Adapting Emergency Response: A Nationwide Study Of Disability Accommodation Practices Among Local Emergency Managers, Iskender Mambetkadyrov

Theses

Local emergency management agencies (EMAs), who are critical in disaster response and management in the US, frequently underserve their constituencies who identify as people with disabilities (PWD) and, more specifically, as deaf and hard of hearing (DHH). These shortfalls have still persisted even after policies such as the Americans with Disabilities Act have passed in an attempt to bridge these gaps. This thesis aims to explore the organizational actions & strategies local EMAs have taken towards disability inclusion, the barriers they run into, and explore whether increases in general disability-inclusive actions lead to increased DHH-specific inclusive actions to steer local …

Exploring Latent Clusters In Pediatric Ocd Based On Symptoms, Severity, Age, Gender, And Comorbidity, Orri Smárason, Robert R Selles, Davíð R M A Højgaard, John R Best, Karin Melin, Tord Ivarsson, Per Hove Thomsen, Bernhard Weidle, Nicole Michelle Mcbride, Eric A Storch, Daniel Geller, Sabine Wilhelm, Lara J Farrell, Allison M Waters, Sharna Mathieu, Noam Soreni, S Evelyn Stewart, Gudmundur Skarphedinsson

Center for Medical Ethics and Health Policy Staff Publications

Given diverse symptom expression and high rates of comorbid conditions, the present study explored underlying commonalities among OCD-affected children and adolescents to better conceptualize disorder presentation and associated features. Data from 830 OCD-affected participants presenting to OCD specialty centers was aggregated. Dependent mixture modeling was used to examine latent clusters based on their age- and gender adjusted symptom severity (as measured by the Children's Yale-Brown Obsessive-Compulsive Scale; CY-BOCS), symptom type (as measured by factor scores calculated from the CY-BOCS symptom checklist), and comorbid diagnoses (as assessed via diagnostic interviews). Fit statistics favored a four-cluster model with groups distinguished primarily by …

Measuring Perceived Utility Of Genomic Sequencing: Development And Validation Of The Genetic Utility (Gene-U) Scale For Adult Screening, Hadley Stevens Smith, Caryn Kseniya Rubanovich, Jill Oliver Robinson, Ariel N Levchenko, Sarah A Classen, Janet Malek, Adam H Buchanan, Barbara Biesecker, Kyle B Brothers, Benjamin S Wilfond, Christine Rini, Cinnamon S Bloss, Amy L Mcguire, Sara J Knight

Center for Medical Ethics and Health Policy Staff Publications

Purpose: As population-based screening programs to identify genetic conditions in adults using genomic sequencing (GS) are increasingly available, validated patient-centered outcome measures are needed to understand participants' experience. We aimed to develop and validate an instrument to assess the perceived utility of GS in the context of adult screening.

Methods: Informed by a 5-domain conceptual model, we used a 5-step approach to instrument development and validation: (1) item writing, (2) cognitive testing, (3) pilot testing and item reduction, (4) psychometric testing, and (5) evaluation of construct validity. Adults undergoing risk-based or population-based GS who had received GS results as part …

Vagus Nerve Stimulation Recruits The Central Cholinergic System To Enhance Perceptual Learning, Kathleen A Martin, Eleni S Papadoyannis, Jennifer K Schiavo, Saba Shokat Fadaei, Habon A Issa, Soomin C Song, Sofia Orrey Valencia, Nesibe Z Temiz, Matthew J Mcginley, David A Mccormick, Robert C Froemke

Duncan NRI Faculty and Staff Publications

Perception can be refined by experience, up to certain limits. It is unclear whether perceptual limits are absolute or could be partially overcome via enhanced neuromodulation and/or plasticity. Recent studies suggest that peripheral nerve stimulation, specifically vagus nerve stimulation (VNS), can alter neural activity and augment experience-dependent plasticity, although little is known about central mechanisms recruited by VNS. Here we developed an auditory discrimination task for mice implanted with a VNS electrode. VNS applied during behavior gradually improved discrimination abilities beyond the level achieved by training alone. Two-photon imaging revealed VNS induced changes to auditory cortical responses and activated cortically …

Scalp Bogginess In The Presence Of Lichen Planopilaris: Isolated Occurrence Or Reactionary Process?, Victoria S Jiminez, Eleanor Workman, Omid Jalali

Faculty, Staff and Students Publications

Lipedematous scalp (LS) and lipedematous alopecia (LA) are rare conditions involving focal or diffuse hyperplasia within subcutaneous adipose tissue of the scalp. Little is known regarding the etiology of these conditions, and there is no consensus on management strategies. Overall, the condition is benign and often isolated. However, there have been reported cases of co-existing scalp edema in the presence of another pathogenic process involving the scalp and hair. The authors present a case of significant scalp edema in a middle-aged female who presented with lichen planopilaris (LPP) of the bifrontal scalp of four years duration. The patient had diffuse …

Burden Re-Analysis Of Neurodevelopmental Disorder Cohorts For Prioritization Of Candidate Genes, Noor Smal, Fatma Majdoub, Katrien Janssens, Edwin Reyniers, Marije E C Meuwissen, Berten Ceulemans, Hope Northrup, Jeremy B Hill, Lingying Liu, Edoardo Errichiello, Simone Gana, Alanna Strong, Luis Rohena, Rachel Franciskovich, Chaya N Murali, An Huybrechs, Telma Sulem, Run Fridriksdottir, Patrick Sulem, Kari Stefansson, Yan Bai, Jill A Rosenfeld, Seema R Lalani, Haley Streff, Undiagnosed Diseases Network, R Frank Kooy, Sarah Weckhuysen

Faculty, Staff and Students Publications

This study aimed to uncover novel genes associated with neurodevelopmental disorders (NDD) by leveraging recent large-scale de novo burden analysis studies to enhance a virtual gene panel used in a diagnostic setting. We re-analyzed historical trio-exome sequencing data from 745 individuals with NDD according to the most recent diagnostic standards, resulting in a cohort of 567 unsolved individuals. Next, we designed a virtual gene panel containing candidate genes from three large de novo burden analysis studies in NDD and prioritized candidate genes by stringent filtering for ultra-rare de novo variants with high pathogenicity scores. Our analysis revealed an increased burden …