Digital Commons Network^™

The Placenta Regulates Intrauterine Fetal Growth Via Exosomal Pparγ, Xiaofang Luo, Biao Huang, Ping Xu, Hao Wang, Baozhen Zhang, Li Lin, Jiujiang Liao, Mingyu Hu, Xiyao Liu, Jiayu Huang, Yong Fu, Mark D Kilby, Rodney E Kellems, Xiujun Fan, Yang Xia, Philip N Baker, Hongbo Qi, Chao Tong

Faculty, Staff and Student Publications

Abnormal adipogenesis is a major contributor to fetal growth restriction (FGR) and its associated complications. However, the underlying etiology remains unclear. Here, it is reported that the placentas of women with pregnancies complicated with FGR exhibit peroxisome proliferator-activated receptor γ (PPARγ) inactivation. In mice, trophoblast-specific ablation of murine PPARγ reproduces the phenotype of human fetuses with FGR and defective adipogenesis. Coculture of trophoblasts with preadipocytes significantly improves preadipocyte commitment and differentiation and increases the transcription of a series of adipogenic genes via intercellular transfer of exosomal PPARγ proteins. Moreover, nanoparticle-mediated placenta-specific delivery of rosiglitazone (RGZ) significantly rescues adipogenesis defects in …

Calcium-Sensing Receptor As A Novel Target For The Treatment Of Idiopathic Pulmonary Fibrosis, Kasope Wolffs, Renjiao Li, Bethan Mansfield, Daniel A Pass, Richard T Bruce, Ping Huang, Rachel Paes De Araújo, Bahareh Sadat Haddadi, Luis A J Mur, Jordanna Dally, Ryan Moseley, Rupert Ecker, Harry Karmouty-Quintana, Keir E Lewis, A John Simpson, Jeremy P T Ward, Christopher J Corrigan, Renata Z Jurkowska, Benjamin D Hope-Gill, Daniela Riccardi, Polina L Yarova

Faculty, Staff and Student Publications

Idiopathic pulmonary fibrosis (IPF) is a disease with a poor prognosis and no curative therapies. Fibroblast activation by transforming growth factor β1 (TGFβ1) and disrupted metabolic pathways, including the arginine-polyamine pathway, play crucial roles in IPF development. Polyamines are agonists of the calcium/cation-sensing receptor (CaSR), activation of which is detrimental for asthma and pulmonary hypertension, but its role in IPF is unknown. To address this question, we evaluated polyamine abundance using metabolomic analysis of IPF patient saliva. Furthermore, we examined CaSR functional expression in human lung fibroblasts (HLFs), assessed the anti-fibrotic effects of a CaSR antagonist, NPS2143, in TGFβ1-activated normal …

Cell-Free Dna Results Indicating Mosaic Monosomy X Of Likely Maternal Origin: Impact On Genetic Counseling Practices And Patient Experiences, Audrey Mcbride, Ashley Cannon, Siddharth Prakash, Aaron W Roberts, Angela Seasely, Anna C E Hurst, Laura Hendon

Faculty, Staff and Student Publications

Objective: To investigate the current genetic counseling practices involving a cfDNA result indicating mosaic monosomy X of likely maternal origin, and to better understand the perspectives of patients who have received this result.

Method: A total of 60 prenatal genetic counselors completed surveys about their experiences with this result, cfDNA consenting practices, and management practices. In addition, qualitative interviews were conducted with 5 patients to gain insight into their experiences with result disclosure and follow-up care.

Results: 95% of genetic counselors reported feeling prepared to counsel on these results. However, responses to current practices varied. Of the genetic counselors surveyed, …

Evaluating The Costs Of Alternative Malting Grains For Market Adaptation: A Case Study On Rice Malt Production In The U.S, Bernardo P. Guimaraes, Lawton L. Nalley, Scott Robert Lafontaine

Food Science Faculty Publications and Presentations

Climate change, import restrictions, and global conflicts are significantly impacting brewing raw material supply and costs. To shield the malting and brewing industries from these disruptions, alternative crops to barley must be explored. Rice presents a promising option, yielding twice as much per hectare as barley and showing greater climate resilience. Monte Carlo simulations estimated the economic and agronomic impact of using rice for malting. While rice malt is more expensive to produce, it remains an attractive gluten-free alternative. Beer brewed from 100% rice malt costs 33% more than barley-based beer but reduces acreage requirements by 50-67%. Using rice malt …

Safety Outcomes Of Antiplatelet Therapy During Endovascular Treatment Of Tandem Lesions In Acute Ischemic Stroke Patients, Mudassir Farooqui, Afshin A Divani, Milagros Galecio-Castillo, Ameer E Hassan, Mouhammad A Jumaa, Marc Ribo, Michael Abraham, Nils Petersen, Johanna Fifi, Waldo R Guerrero, Amer M Malik, James E Siegler, Thanh N Nguyen, Sunil A Sheth, Albert J Yoo, Guillermo Linares, Nazli Janjua, Darko Quispe-Orozco, Asad Ikram, Wondewossen G Tekle, Syed F Zaidi, Cynthia B Zevallos, Federica Rizzo, Tiffany Barkley, Reade De Leacy, Jane Khalife, Mohamad Abdalkader, Sergio Salazar-Marioni, Jazba Soomro, Weston Gordon, Aaron Rodriguez-Calienes, Juan Vivanco-Suarez, Charoskhon Turabova, Maxim Mokin, Dileep R Yavagal, Santiago Ortega-Gutierrez

Faculty, Staff and Student Publications

Risk of hemorrhage remains with antiplatelet medications required with carotid stenting during endovascular therapy (EVT) for tandem lesion (TLs). We evaluated the safety of antiplatelet regimens in EVT of TLs. This multicenter study included anterior circulation TL patients from 2015 to 2020, stratified by periprocedural EVT antiplatelet strategy: (1) no antiplatelets, (2) single oral, (3) dual oral, and (4) intravenous IV (in combination with single or dual oral). Primary outcome was symptomatic intracranial hemorrhage (sICH). Secondary outcomes were any hemorrhage, favorable functional status (mRS 0-2) at 90 days, successful reperfusion (mTICI score ≥ 2b), in-stent thrombosis, and mortality at 90 …

Prediction Of Hepatitis C Virus Perinatal Transmission In Pregnant Individuals With Hepatitis C Virus Infection, Grecio J Sandoval, George R Saade, Brenna L Hughes, Rebecca G Clifton, Uma M Reddy, Anna Bartholomew, Ashley Salazar, Edward K Chien, Alan T N Tita, John M Thorp, Torri D Metz, Ronald J Wapner, Vishakha Sabharwal, Hyagriv N Simhan, Geeta K Swamy, Kent D Heyborne, Baha M Sibai, William A Grobman, Yasser Y El-Sayed, Brian M Casey, Samuel Parry, George A Macones, Mona Prasad

Faculty, Staff and Student Publications

Our objective was to develop a prediction model for hepatitis C virus (HCV) infection perinatal transmission to improve triage for neonatal follow-up. This was a secondary analysis of HCV antibody-positive participants who were enrolled in the Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network multicenter observational study of HCV infection in pregnancy. Among 432 participants, the perinatal transmission rate was 6.0% (95% CI, 4.0-8.7%). The prediction model was developed and included two factors: maternal HCV RNA titer greater than 10 6 international units/mL and having had any antepartum bleeding. Using this model, the …

Pulmonary Disease Caused By Mycobacterium Marseillense In Colombia, Darío Sebastián López-Delgado, Gabriel Alonso Rodríguez-Caicedo, Diego Fernando Taramuel-Gómez, Peter Houck, Martha Isabel Murcia-Aranguren, Roberto C Arduino, Alfonso J Rodriguez-Morales

Faculty, Staff and Student Publications

No abstract provided.

Whole-Body Hypothermia For Neonatal Encephalopathy In Preterm Infants 33 To 35 Weeks' Gestation: A Randomized Clinical Trial, Roger G Faix, Abbot R Laptook, Seetha Shankaran, Barry Eggleston, Dhuly Chowdhury, Roy J Heyne, Abhik Das, Claudia Pedroza, Jon E Tyson, Courtney Wusthoff, Sonia L Bonifacio, Pablo J Sánchez, Bradley A Yoder, Matthew M Laughon, Diana M Vasil, Krisa P Van Meurs, Margaret M Crawford, Rosemary D Higgins, Brenda B Poindexter, Tarah T Colaizy, Shannon E G Hamrick, Lina F Chalak, Robin K Ohls, Michele E Hartley-Mcandrew, Kevin Dysart, Carl T D'Angio, Ronnie Guillet, Stephen D Kicklighter, Waldemar A Carlo, Gregory M Sokol, Sara B Demauro, Anna Maria Hibbs, C Michael Cotten, Stephanie L Merhar, Roopali V Bapat, Heidi M Harmon, Elizabeth Sewell, Sarah Winter, Girija Natarajan, Ricardo Mosquera, Susan R Hintz, Nathalie L Maitre, Kristen L Benninger, Myriam Peralta-Carcelen, Abbey C Hines, Andrea F Duncan, Deanne E Wilson-Costello, Andrea Trembath, William F Malcolm, Michele C Walsh

Faculty, Staff and Student Publications

Importance: Hypothermia begun less than 6 hours after birth reduces death or disability in infants with encephalopathy due to hypoxia-ischemia at 36 or more weeks' gestation. Trials of hypothermia for infants younger than 36 weeks' gestation are lacking.

Objective: To assess the probability that hypothermia at less than 6 hours after birth decreases death or disability in infants 33 to 35 weeks' gestation with moderate or severe hypoxic-ischemic encephalopathy.

Design, setting, and participants: This randomized clinical trial was conducted between July 2015 and December 2022 for infants 33 to 35 weeks' gestation with moderate or severe hypoxic-ischemic encephalopathy at less …

Changes In Patent Ductus Arteriosus Management And Outcomes In Infants Born At 26-28 Weeks' Gestation, Dinushan C Kaluarachchi, Matthew A Rysavy, Barbara T Do, Valerie Y Chock, Matthew M Laughon, Carl H Backes, Tarah T Colaizy, Edward F Bell, Patrick J Mcnamara

Faculty, Staff and Student Publications

Objective: To investigate the association between the secular decrease in treatment of patent ductus arteriosus (PDA) and trends in neonatal mortality and morbidity in infants born at 26 0/7-28 6/7 weeks' gestation.

Study design: A retrospective cohort study including infants born between 2012 and 2021 in continually participating hospitals in the National Institute of Child Health and Human Development Neonatal Research Network. The primary composite outcome was defined as surgical necrotizing enterocolitis, grade 2-3 bronchopulmonary dysplasia (BPD), severe intraventricular hemorrhage, or death. Relationships of temporal trends in PDA treatment with the primary composite outcome and its components were analyzed using …

Nichd Magnetic Resonance Brain Imaging Score In Term Infants With Hypoxic-Ischemic Encephalopathy: A Secondary Analysis Of A Randomized Clinical Trial, Seetha Shankaran, Abbot R Laptook, Carolina Guimaraes, Johnathan Murnick, Scott A Mcdonald, Abhik Das, Carolyn M Petrie Huitema, Athina Pappas, Rosemary D Higgins, Susan R Hintz, Kristin M Zaterka-Baxter, Krisa P Van Meurs, Gregory M Sokol, Lina F Chalak, Tarah T Colaizy, Uday Devaskar, Jon E Tyson, Anne Marie Reynolds, Sara B Demauro, Pablo J Sánchez, Matthew M Laughon, Waldemar A Carlo, Kristi Watterberg, Karen M Puopolo, Anna Maria Hibbs, Shannon E G Hamrick, C Michael Cotten, John Barks, Brenda B Poindexter, William E Truog, Carl T D'Angio

Faculty, Staff and Student Publications

Importance: The neonatal brain injury score on magnetic resonance imaging following moderate or severe hypoxic-ischemic encephalopathy developed by the National Institute of Child Health and Human Development Neonatal Research Network has been revised to separate watershed and basal ganglia or thalamic injury and their associated outcomes.

Objective: To evaluate the association of the injury score with outcomes of death or moderate or severe disability among all infants, and with neurodevelopment among survivors in a trial of deeper and longer cooling.

Design, setting, and participants: In this secondary analysis of a multicenter randomized clinical trial, brain imaging was obtained from infants …

Haemato-Urological Profile And Asymptomatic Urinary Tract Infection In Ghanaian Steady-State Sickle Cell Disease Patients: A Case-Control Study, Stephen Twumasi, Richard Owusu Ansah, Samuel Essien-Baidoo, Laud Anthony W. Basing, Alexander Yaw Debrah, Enoch Odame Anto, Allwell Adofo Ayirebi, Rebecca Asiamah-Broni, Waldemer Attivor, Eric Twum Ameyaw, Gabriel Addai Manu, Edward Afriyie, Thomas Kwabena Gyampomah, Joseph Nkrumah Opoku, Prince Kwadwo Amoafo, Samuel Kelvin Owusu, Vincent Akwai, Matthew Talmang, Amos Mensah, Isaac Kusi-Amponsah, Angela Opoku, Lilian Antwi Boateng

Research outputs 2022 to 2026

Background and Aims: Due to the reduction in immunity caused by auto-splenectomy and the consequent opsonic antibody shortage, patients with SCD are more susceptible to encapsulated organism infections, especially asymptomatic urinary tract infection (ASM-UTI). This study investigated the prevalence of ASM-UTI and compared urine and hematology parameters among SCD patients in Ghana to their healthy counterparts. Methods: In this study, 104 SCD participants (cases) and 80 non-SCD (HbAA) controls were recruited. Participants' information was thoroughly documented using a well-structured questionnaire and patient case records. To achieve the study's aims, a mid-stream urine in a cleaned dry aseptic urine capped container …

Early Childhood Educator Preparation, Exposure, And Perspectives Of Autism Spectrum Disorder In Preschool Hispanic Populations, Karla C. Vidaurri, Ruth Crutchfield, Jessica R. Stewart

Communication Sciences & Disorders Faculty Publications

Purpose: With an increase in prevalence of autism spectrum disorder (ASD) and the Hispanic population, there is a crucial demand for early identification and servicing of individuals with ASD. Early childhood educators are one profession in the position to identify and provide services to individuals with ASD at an early age. The aim of this study was to explore early educators’ preparation, exposure, and perspectives of ASD specific to preschool Hispanic populations.

Method: A survey methodology was implemented to explore early childhood educators’ preparation, exposure, and perspectives of ASD. The anonymous survey consisted of 23 questions and statements that explored …

A Practical Guide To Uav-Based Weed Identification In Soybean: Comparing Rgb And Multispectral Sensor Performance, Kelvin Betitame, Cannayen Igathinathane, Kirk Howatt, Joseph Mettler, Cengiz Koparan, Xin Sun

Agricultural Education, Communications and Technology Faculty Publications and Presentations

Precision agriculture relies heavily on accurate, efficient, and economical methods to distinguish between crops and weeds of various types. The advancement of unmanned aerial vehicle (UAV) technologies provides practical approaches for generating land-cover maps that are essential for monitoring and managing crop fields affected by various weeds. Although the overall cost of scouting crop fields with UAVs may be low and practical, it varies depending on the sensors used; and the existing studies have mainly focused on weed detection methods but not compared the sensors' performance. Therefore, to address this knowledge gap, this research aims to compare a UAV-mounted visual …

2025 April, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for April of 2025.

Arab American Well-Being And Impacts Of The Covid-19 Pandemic, Rawan H. Atari-Khan, Katrina S. Rbeiz, Lawrence H. Gerstein

Psychology Faculty Research and Publications

Arab, Middle Eastern, and North African Americans experience various forms of racial–ethnic trauma in the United States, including historical and intergenerational trauma (IGT). The population has been migrating to the United States since the 1800s, and the number of migrants has risen in recent decades due to war, persecution, and family reunification. As a result, the children of these migrants may be exposed to IGT, with research suggesting that descendants of individuals who have experienced trauma are more susceptible to poor mental health outcomes. Using semistructured interviews, alongside the art of storytelling and empowerment through critical consciousness, this study investigated …

Discrimination And Adverse Birth Outcomes Among Latina Women: The Protective Role Of Social Support., Sabrina R. Liu, Kimberly D'Anna-Hernandez, Curt A. Sandman, Elysia Poggi Davis, Laura M. Glynn

Psychology Faculty Research and Publications

Interpersonal discrimination has been associated with adverse birth outcomes among Black populations, but few studies have examined the impact of discrimination among Latinx/Hispanic populations in the United States, especially in conjunction with resources that could be protective. The present study examined (a) if exposure to discrimination is associated with adverse birth outcomes for Latina/Hispanic women and (b) if prenatal social support buffers these links. Method: In two independent prospective studies of Latina/Hispanic women in Southern California (N = 84 and N = 102), the relation between maternal experience of discrimination and birth outcomes (length of gestation and birth weight) …

Teacher Special Education Certification And Self-Efficacy To Address Students With Disabilities' Needs In An Inclusive Nonpublic School Setting, Chelsea Christy

Theses & Dissertations

In New York State, the inclusion of students with disabilities (SWD) in nonpublic schools is governed by individual institutional policies, as state legislation does not require standardized training or certification for nonpublic school educators (New York Education Law § 3204.2, n.d.). This mixed-methods study investigates how teachers’ special education (SPED) certification status and demographic characteristics influence their attitudes toward inclusion and self-efficacy in supporting SWD in urban nonpublic school settings. Findings reveal that SPEDcertified teachers consistently reported more positive attitudes toward inclusion and greater selfefficacy in areas such as instructional differentiation, classroom behavior management, and curricular adaptation compared to their …

Isolated, Accommodated, Or Elevated? English Language Development Teachers In Professional Learning Communities, Kristina Robertson

Theses & Dissertations

This qualitative study examined the experiences of ten elementary English Language Development (ELD) teachers in interdisciplinary Professional Learning Communities (PLCs) across the Twin Cities metro area. Although PLC teamwork improves student academic outcomes through collaboration and collective efficacy, ELD teachers often faced challenges integrating their language expertise into these structures, limiting their ability to address English Learner (EL) academic achievement and language growth. Guided by DuFour’s six elements of effective PLCs and Wenger’s Communities of Practice (CoP) theory, the study analyzed data from ten semi-structured interviews, teacher-submitted artifacts, and district guidance documents. Data were coded and thematically analyzed to explore …

Empowering Educators: Culturally Responsive Teaching And Teacher Self-Efficacy For Students With Autism Spectrum Disorder, Jamie Margaret Capriola

Theses & Dissertations

The evolving education landscape calls for teachers to adapt their instruction to reflect students’ backgrounds and cultures. educators are expected to foster inclusive learning environments while equipping students with the critical thinking skills necessary to challenge social injustices – a practice known as culturally responsive teaching (CRT). While scholars have explored teachers’ self-efficacy in implementing CRT, limited research exists on how special education teachers, particularly those working with students with Autism Spectrum Disorder (ASD), perceive their CRT self-efficacy (CRTSE) and professional preparation. This sequential mixed methods study examined the CRTSE levels of special education teachers working with students with autism. …

Can Llms Replace Manual Annotation Of Software Engineering Artifacts?, Toufique Ahmed, Premkumar Devanbu, Christoph Treude, Michael Pradel

Research Collection School Of Computing and Information Systems

Experimental evaluations of software engineering innovations, e.g., tools and processes, often include human-subject studies as a component of a multi-pronged strategy to obtain greater generalizability of the findings. However, human-subject studies in our field are challenging, due to the cost and difficulty of finding and employing suitable subjects, ideally, professional programmers with varying degrees of experience. Meanwhile, large language models (LLMs) have recently started to demonstrate human-level performance in several areas. This paper explores the possibility of substituting costly human subjects with much cheaper LLM queries in evaluations of code and code-related artifacts. We study this idea by applying six …

Graph-Assisted Offline-Online Deep Reinforcement Learning For Dynamic Workflow Scheduling, Yifan Yang, Gang Chen, Hui Ma, Cong Zhang, Zhiguang Cao, Mengjie Zhang

Research Collection School Of Computing and Information Systems

Dynamic workflow scheduling (DWS) in cloud computing presents substantial challenges due to heterogeneous machine configurations, unpredictable workflow arrivals/patterns, and constantly evolving environments. However, existing research often assumes homogeneous setups and static conditions, limiting flexibility and adaptability in real-world scenarios. In this paper, we propose a novel Graph assisted Offline-Online Deep Reinforcement Learning (GOODRL) approach to building an effective and efficient scheduling agent for DWS. Our approach features three key innovations: (1) a task-specific graph representation and a Graph Attention Actor Network that enable the agent to dynamically assign focused tasks to heterogeneous machines while explicitly considering the future impact of …

Rethinking Light Decoder-Based Solvers For Vehicle Routing Problems, Ziwei Huang, Jianan Zhou, Zhiguang Cao, Yixin Xu

Research Collection School Of Computing and Information Systems

Light decoder-based solvers have gained popularity for solving vehicle routing problems (VRPs) due to their efficiency and ease of integration with reinforcement learning algorithms. However, they often struggle with generalization to larger problem instances or different VRP variants. This paper revisits light decoder-based approaches, analyzing the implications of their reliance on static embeddings and the inherent challenges that arise. Specifically, we demonstrate that in the light decoder paradigm, the encoder is implicitly tasked with capturing information for all potential decision scenarios during solution construction within a single set of embeddings, resulting in high information density. Furthermore, our empirical analysis reveals …

Node-Time Conditional Prompt Learning In Dynamic Graphs, Xingtong Yu, Zhenghao Liu, Xinming Zhang, Yuan Fang

Research Collection School Of Computing and Information Systems

Dynamic graphs capture evolving interactions between entities, such as in social networks, online learning platforms, and crowdsourcing projects. For dynamic graph modeling, dynamic graph neural networks (DGNNs) have emerged as a mainstream technique. However, they are generally pre-trained on the link prediction task, leaving a significant gap from the objectives of downstream tasks such as node classification. To bridge the gap, prompt-based learning has gained traction on graphs, but most existing efforts focus on static graphs and neglect the evolution of dynamic graphs. In this paper, we propose DYGPROMPT, a novel pre-training and prompt learning framework for dynamic graph modeling. …

Comadice: Offline Cooperative Multi-Agent Reinforcement Learning With Stationary Distribution Shift Regularization, The Viet Bui, Tien Mai, Hong Thanh Nguyen

Research Collection School Of Computing and Information Systems

Offline reinforcement learning (RL) has garnered significant attention for its ability to learn effective policies from pre-collected datasets without the need for further environmental interactions. While promising results have been demonstrated in single-agent settings, offline multi-agent reinforcement learning (MARL) presents additional challenges due to the large joint state-action space and the complexity of multi-agent behaviors. A key issue in offline RL is the distributional shift, which arises when the target policy being optimized deviates from the behavior policy that generated the data. This problem is exacerbated in MARL due to the interdependence between agents' local policies and the expansive joint …

Bootstrapping Language Models With Dpo Implicit Rewards, Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin

Research Collection School Of Computing and Information Systems

Human alignment in large language models (LLMs) is an active area of research. A recent groundbreaking work, direct preference optimization (DPO), has greatly simplified the process from past work in reinforcement learning from human feedback (RLHF) by bypassing the reward learning stage in RLHF. DPO, after training, provides an implicit reward model. In this work, we make a novel observation that this implicit reward model can by itself be used in a bootstrapping fashion to further align the LLM. Our approach is to use the rewards from a current LLM model to construct a preference dataset, which is then used …

Digital Transformation And The Future Of Work: Closing The Digital Skills Gap, Siu Loon Hoe

Research Collection School Of Computing and Information Systems

The purpose of this article is to discuss the near future digital technology landscape and propose several specific in-demand digital skills for organizations and individuals in the next few years. This article reviews some recent publications from representative inter-governmental, governmental, non-governmental, and commercial organizations on the rise of digital technologies and corresponding growth in digital jobs. Within this context, several specific in-demand skills are proposed by the author who has written a book on the topic of digital transformation. Rapid advancements in digital technologies continue to shape organizational practices and the future of work. To take advantage of emerging digital …

Out Of Many: The Study Of African American Diasporas On Social Media, Brianna M. Savage, Sindy Chapa

AMTP Proceedings 2025

This study uses a one-ad experimental design to test the effect of African American Vernacular English (AAVE) on Black Twitter, employing an online survey with a convenience sample. It examines cultural differences within Black African co-cultures, emphasizing how language variation influences consumer behavior in social media advertising. The findings indicate that Black consumers with positive attitudes toward advertisements featuring AAVE are more likely to engage with the content on Twitter and subsequently purchase the promoted brand. This supports attitude theory (Fishbein & Ajzen, 1975) and social distinctiveness theory (Grier, 2001), demonstrating a significant correlation between ethnic resolution and purchasing behavior.

Institutional Cross-Ownership Of Peer Firms And Revelatory Price Efficiency, Young Jun Cho, Holly I. Yang, Yue Zhao

Research Collection School Of Accountancy

We argue that cross-ownership increases the amount of private information in stock price, enhancing the ability of stock price to provide feedback to managers. Consistent with this argument, we find greater cross-ownership heightens a firm’s investment-q sensitivity. This effect is stronger for firms with a lower propensity for voluntary disclosure and for firms whose managers hold less private information. Furthermore, we find that cross-ownership is negatively associated with the sensitivity of a firm’s investment to its peers’ stock prices. Additionally, cross-ownership has a stronger impact on the investment-q sensitivity when measured among investors who trade more actively the …

Undergraduate Accounting Capstone: Enhancing Integration, Reflective Learning, And Workplace Transition For Future Professionals, Duan Ning, Magdeleine Lew, Clarence Goh, Poh Sun Seow, Gary Pan

Research Collection School Of Accountancy

This study examines whether a university capstone course focused on accounting data and analytics equips undergraduate accounting students with the relevant professional and technological skills for future work. There is concern that the traditional accounting curriculum, which often emphasizes theoretical knowledge and technical skills, may not sufficiently prepare students for the complex, data-driven environment in the workplace. Therefore, our study is important because professional and technological skills are essential skills that students need to thrive in complex, data-driven environments, and our study provides insights into whether a capstone course can equip students with these skills. To examine these issues, we …

Decarbonising Digital Infrastructure And Urban Sustainability In The Case Of Data Centres, Felicia H. M. Liu, Karen P. Y. Lai, Bertrand Seah, Winston T. L. Chow

Research Collection College of Integrative Studies

This paper critically assesses the complex interplay between urban transitions of digitisation and sustainability. Building on a mixed-method research design, we unpack the challenges of decarbonising digital infrastructure while attending to urban sustainability goals in a land- and water-scarce country facing significant physical climate risks. We identify transferrable lessons on the economic, technological, and environmental synergies and trade-offs behind data centre development and argue that stewarding the global data centre sector towards sustainability requires an ecosystem-wide approach. We identify implementation gaps across five key dimensions: technological innovation, policy and regulation, finance, infrastructure, and people. We find that the progress and …