Digital Commons Network^™

Effect Of Class C And Class F Fly Ash On Early-Age And Mature-Age Properties Of Calcium Sulfoaluminate Cement Paste, Sukanta K. Mondal, Carrie Clinton, Hongyan Ma, Aditya Kumar, Monday Uchenna Okoronkwo

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

To Promote the Sustainable Development of Eco-Efficient Calcium Sulfoaluminate (CSA) Cements through the Partial Replacement of the CSA Clinker with Supplementary Cementitious Waste Products, the Effects of Coal Fly Ashes on the Early-Age and Mature-Age Properties of a Calcium Sulfoaluminate (CSA)-Based Cement Paste Were Investigated. the Impacts of Both Class C and Class F Fly Ashes on the Rheological Properties, Hydration Kinetics, and Compressive Strength Development of CSA Cement Paste Were Studied. Rheology-Based Workability Parameters, Representing the Rate of Loss of Flowability, the Rate of Hardening, and the Placement Limit, Were Characterized for the Pastes Prepared with Fixed Water-To-Cement (W/c) …

Presentations Of Active Substance Use In The Emergency Department: A Single Center’S Perspective Study In Riyadh, Saudi Arabia, Mohammed K. Alageel, Alshamoos A. Alwassel, Hamad A. Almohsen

Saudi Medical Journal

Objectives: To explore the most common clinical presentations of active substance users in our institution’s Emergency Department (ED). Methods: This was a retrospective chart review of all patients that were brought to the ED of King Saud University Medical City in Riyadh, Saudi Arabia thought to be actively using illicit substances, between January 2019 and December 2021. Those with incomplete data were excluded. Results: A total of 582 patients were included in the study, 532 (91.4%) males, the majority were in the age group 21-30 years old (53.1%). Most patients were fully alert (n=405, 69.6%). Overall, cannabis was used by …

The Role Of Teleradiology During Covid-19 Outbreak: Saudi Radiologists’ Perspectives, Shrooq T. Al-Dahery, Walaa M. Alsharif, Fatima H. Alamri, Shahad A. Nawawi, Wed K. Mofti, Fahad H. Alhazmi, Khalid M. Alshamrani, Awadia G. Suliman, Abdulaziz A. Qurashi

Saudi Medical Journal

Objectives: To evaluate the role of teleradiology during the COVID-19 pandemic from Saudi radiologists’ perspectives to improve the radiology quality service. Methods: A cross-sectional study was carried out in Saudi Arabia among radiologists working at local hospitals from October to November 2021. It contains 21 questions involved demographic information; general information on teleradiology services; and the impact of teleradiology during COVID-19. One-way ANOVA was used to compare demographic groups. Chi-square test was used to compare demographic groups regarding their distribution of responses. All tests were carried out <0.05 level of significance. Results: A total of 102 radiologists participated in this study (56% males, 44% females), 58.8% of them were sub-specialized in chest radiology. Regarding the general status of teleradiology, 69.6% of participants believed that teleradiology is a helpful tool for imaging interpretation. However, 44% of them were uncertain on the impact of teleradiology on patients’ confidentiality. Approximately 87% of participants agreed that there is a positive contribution of teleradiology during COVID-19, which enables decreasing risk of infection and workload. There was a significant difference between professional degrees and overall participant responses ( p <0.05). Academicians agreed that it enhances radiology departments’ work (mean=17.78, SD=1.86). Conclusion: Concerns raised on complicated cases that require physical presence of patients, cannot be performed by teleradiology. Additionally, it might provide insufficient communication with other professionals to discuss images.

Legal Dispositionism And Artificially-Intelligent Attributions, Jerrold Soh

Research Collection Yong Pung How School Of Law

It is conventionally argued that because an artificially-intelligent (AI) system acts autonomously, its makers cannot easily be held liable should the system's actions harm. Since the system cannot be liable on its own account either, existing laws expose victims to accountability gaps and need to be reformed. Recent legal instruments have nonetheless established obligations against AI developers and providers. Drawing on attribution theory, this paper examines how these seemingly opposing positions are shaped by the ways in which AI systems are conceptualised. Specifically, folk dispositionism underpins conventional legal discourse on AI liability, personality, publications, and inventions and leads us towards …

Using Virtual Simulations Of Future Extreme Weather Events To Communicate Climate Change Risk, Terry Van Gevelt, Brian G. Mcadoo, Jie Yang, Linlin Li, Fiona Williamson, Alex Scollay, Aileen Lam, Kwan Nok Chan, Adam D. Switzer

Research Collection College of Integrative Studies

Virtual simulations of future extreme weather events may prove an effective vehicle for climate change risk communication. To test this, we created a 3D virtual simulation of a future tropical cyclone amplified by climate change. Using an experimental framework, we isolated the effect of our simulation on risk perceptions and individual mitigation behaviour for a representative sample (n = 1507) of the general public in Hong Kong. We find that exposure to our simulation is systematically associated with a relatively small decrease in risk perceptions and individual mitigation behaviour. We suggest that this is likely due to climate change scepticism, …

The City Never Sleeps: But When Will Investment Banks Wake Up To The Climate Crisis?, Theodor Florian Cojoianu, Andrea G. F. Hoepner, Fabiola I. Schneider, Michael Urban, Anh Vu, Dariusz Wojcik

Research Collection College of Integrative Studies

Using a global dataset of over 840,000 equity, bond and syndicated loan investment banking deals, we build the fossil fuel investment brokerage profile of financial centres worldwide between 2000 and 2018. We also study whether city-level fossil fuel divestment commitments and country-level green banking policies impact the profile of fossil fuel financial centres over our study timeframe. We find that several financial centres shift their fossil fuel investment brokerage profiles substantially, including the asset classes in which they are active. However, we do not find any evidence that this is driven by city-level divestment commitments. In contrast, we find that …

District-Scale Surface Temperatures Generated From High-Resolution Longitudinal Thermal Infrared Images, Subin Lin, Vasantha Ramani, Miguel Martin, Pandarasamy Arjunan, Adrian Chong, Filip Biljecki, Marcel Ignatius, Clayton Miller, Clayton Miller

Research Collection College of Integrative Studies

This paper describes a dataset collected by infrared thermography, a non-contact, non-intrusive technique to acquire data and analyze the built environment in various aspects. While most studies focus on the city and building scales, an observatory installed on a rooftop provides high temporal and spatial resolution observations with dynamic interactions on the district scale. The rooftop infrared thermography observatory with a multi-modal platform capable of assessing a wide range of dynamic processes in urban systems was deployed in Singapore. It was placed on the top of two buildings that overlook the outdoor context of the National University of Singapore campus. …

Curcumin Release From Biomaterials For Enhanced Tissue Regeneration Following Injury Or Disease, Adelle E. Hamilton, Ryan J. Gilbert

Chemical and Biochemical Engineering Faculty Research & Creative Works

Curcumin, a bioactive phenol derived from turmeric, is an antioxidant, anti-inflammatory, and antibacterial molecule. Although curcumin exhibits beneficial effects in its innate form, it is highly hydrophobic, which leads to poor water solubility and, consequently, low bioavailability. The lack of bioavailability limits curcumin's effectiveness as a treatment and restricts its use in clinical applications. Furthermore, to achieve beneficial, clinically relevant results, high doses of curcumin are required for systemic administration. Many researchers have utilized biomaterial carriers, including electrospun fibers, nanoparticles, hydrogels, and composite scaffolds, to overcome curcumin's principle therapeutic limitation of low bioavailability. By using biomaterials to deliver curcumin directly …

Randomized Controlled Trial Of A Novel Lifestyle Intervention Used With Or Without Meal Replacements In Work Sites, Sai Krupa Das, Rachel E Silver, Taylor A Vail, Meghan K Chin, Caroline M Blanchard, Stephanie L Dickinson, Xiwei Chen, Lisa Ceglia, Edward Saltzman, David B Allison, Susan B Roberts

Children’s Nutrition Research Center Staff Publications

Objective: Lifestyle interventions have had limited effectiveness in work sites when evaluated in randomized trials. This study assessed the effectiveness of a novel lifestyle intervention for weight loss (Healthy Weight for Living [HWL]) implemented with or without meal replacements (MR) in work sites. HWL used a new behavioral approach emphasizing reducing hunger and building healthy food preferences, and, unlike traditional lifestyle interventions, it did not require calorie counting.

Methods: Twelve work sites were randomized to an 18-month intervention (n = 8; randomization within work sites to HWL, HWL + MR) or 6-month wait-listed control (n = 4). Participants were employees …

Circulation Of Rhinoviruses And/Or Enteroviruses In Pediatric Patients With Acute Respiratory Illness Before And During The Covid-19 Pandemic In The Us., Danielle A. Rankin, Andrew J. Spieker, Ariana Perez, Anna L. Stahl, Herdi K. Rahman, Laura S. Stewart, Jennifer E. Schuster, Joana Y. Lively, Zaid Haddadin, Varvara Probst, Marian G. Michaels, John V. Williams, Julie A. Boom, Leila C. Sahni, Mary A. Staat, Elizabeth P. Schlaudecker, Monica M. Mcneal, Christopher J. Harrison, Geoffrey A. Weinberg, Peter G. Szilagyi, Janet A. Englund, Eileen J. Klein, Susan I. Gerber, Meredith Mcmorrow, Brian Rha, James D. Chappell, Rangaraj Selvarangan, Claire M. Midgley, Natasha B. Halasa, Nvsn Network Investigators

Manuscripts, Articles, Book Chapters and Other Papers

IMPORTANCE: Rhinoviruses and/or enteroviruses, which continued to circulate during the COVID-19 pandemic, are commonly detected in pediatric patients with acute respiratory illness (ARI). Yet detailed characterization of rhinovirus and/or enterovirus detection over time is limited, especially by age group and health care setting.

OBJECTIVE: To quantify and characterize rhinovirus and/or enterovirus detection before and during the COVID-19 pandemic among children and adolescents seeking medical care for ARI at emergency departments (EDs) or hospitals.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used data from the New Vaccine Surveillance Network (NVSN), a multicenter, active, prospective surveillance platform, for pediatric patients who sought …

Focusing On Candidate Experience To Decenter Professionalism In Hiring And Onboarding, Annie Bélanger, Kat Bell, Lori Cawthorne, Jesus Espinoza

Presentations

In Focusing on Candidate Experience to Decenter Professionalism in Hiring and Onboarding, participants will engage with the presenters and one another to dive into hiring and onboarding practices within libraries. The workshop will be structured along the hiring to onboarding life cycle with a focus on leading practices for healthy processes. Learning about these processes will help those on the job search in better navigating processes and in making informed decisions about an organization as well as those interested in leadership in considering ways to foster healthy candidate-focused processes. Lastly, the presenters will provide practical tips on being an empowered …

Seeing Like A Chocolate City: Reimagining Detroit’S Future Through Its Past, Sheila R. Foster

Georgetown Law Faculty Publications and Other Works

This essay is part of an online symposium on Michelle Wilde Anderson's “The Fight to Save the Town.” In it, Anderson captures how the rise and fall of Detroit maps onto so many other important cultural, political, social, and economic moments of the twentieth century. As Anderson rightly notes, many of the ways in which the city’s history is commonly told represent a “white gaze on Detroit.” What this narrative often leaves out is the critical role of the Black middle and professional class in stabilizing or holding up the city during the period often associated with the city’s decline. …

Permission, Prohibition, And Dynamism, John Thrasher

Philosophy Faculty Books and Book Chapters

Modern, open societies are characterized by growth and dynamism. To many environmentalists, however, it is this very commitment to growth and change that put modern societies at odds with the values of environmental protection. Many argue that the uncertainty that comes from growth endangers the environment, with the implication being that we should adopt general prohibitions rules like the “Precautionary Principle,” which prohibits economic activity unless it can be proven to have no substantial environmental impact. I argue that this conclusion is largely mistaken. Dynamism is so important and in opposition to general prohibition rules that we should avoid them …

The Death Of The Legal Subject, Katrina Geddes

Vanderbilt Journal of Entertainment & Technology Law

The law is often engaged in prediction. In the calculation of tort damages, for example, a judge will consider what the tort victim’s likely future earnings would have been, but for their particular injury. Similarly, when considering injunctive relief, a judge will assess whether the plaintiff is likely to suffer irreparable harm if a preliminary injunction is not granted. And for the purposes of a child custody evaluation, a judge will consider which parent will provide an environment that is in the best interests of the child.

Relative to other areas of law, criminal law is oversaturated with prediction. Almost …

Co-Authorship Between Photographers And Portrait Subjects, Molly Torsen Stech

Vanderbilt Journal of Entertainment & Technology Law

work with the intent of merging their contributions into inseparable or interdependent parts of a unitary whole, the authors are considered joint authors. For photographic works, judicial precedent establishes that the creative contributions necessary to support a copyright claim include the author’s choices concerning elements such as lighting, pose, garments, background, facial expression, and angle. In many visual works, however, those creative elements are determined not solely by a photographer, but also by the subject, who can sulk or smile, stand with good posture or stoop, and be situated in full light or obfuscated by shadow, among many other options. …

The Data Trust Solution To Data Sharing Problems, Kimberly A. Houser, John W. Bagby

Vanderbilt Journal of Entertainment & Technology Law

A small number of large companies hold most of the world’s data. Once in the hands of these companies, data subjects have little control over the use and sharing of their data. Additionally, this data is not generally available to small and medium enterprises or organizations who seek to use it for social good. A number of solutions have been proposed to limit Big Tech “power,” including antitrust actions and stricter privacy laws, but these measures are not likely to address both the oversharing and under-sharing of personal data. Although the data trust concept is being actively explored in the …

Codes Of Conduct For Undergraduate Teaching In The Top-400 Universities On The Times Higher Education World University Rankings, Dawn E. Lyken-Segosbe, Christopher R. Donald, John M. Braxton

Journal of Comparative & International Higher Education

No abstract provided.

Coming-Of-Age Of Teenage Female Arab Gothic Fiction: A Feminist Semiotic Study, Zoe Hurley, Zeina Hojeij

All Works

This feminist semiotic study explores the folkloric imaginary of the jinn in the context of children’s and young adults’ Arab Gothic literature. Across the Middle East, the jinn is a common trope in literature, folklore and oral storytelling who, in diegetic terms, can manifest as the Gothic figure of an aging female, deranged older woman or succubus (known as sa’lawwa in Arabic). In this study, a novel feminist semiotic framework is developed to explore the extent to which the Gothic female succubus either haunts or liberates Arab girls’ coming-of-age fictions. This issue is addressed via a feminist semiotic reading of …

Alignment-Enriched Tuning For Patch-Level Pre-Trained Document Image Models, Lei Wang, Jiabang He, Xing Xu, Ning Liu, Hui Liu

Research Collection School Of Computing and Information Systems

Alignment between image and text has shown promising im provements on patch-level pre-trained document image mod els. However, investigating more effective or finer-grained alignment techniques during pre-training requires a large amount of computation cost and time. Thus, a question natu rally arises: Could we fine-tune the pre-trained models adap tive to downstream tasks with alignment objectives and achieve comparable or better performance? In this paper, we pro pose a new model architecture with alignment-enriched tuning (dubbed AETNet) upon pre-trained document image models, to adapt downstream tasks with the joint task-specific super vised and alignment-aware contrastive objective. Specifically, weintroduce an extra …

Web Apis: Features, Issues, And Expectations: A Large-Scale Empirical Study Of Web Apis From Two Publicly Accessible Registries Using Stack Overflow And A User Survey, Neng Zhang, Ying Zou, Xin Xia, David Lo, David Lo, Shanping Li

Research Collection School Of Computing and Information Systems

With the increasing adoption of services-oriented computing and cloud computing technologies, web APIs have become the fundamental building blocks for constructing software applications. Web APIs are developed and published on the internet. The functionality of web APIs can be used to facilitate the development of software applications. There are numerous studies on retrieving and recommending candidate web APIs based on user requirements from a large set of web APIs. However, there are very limited studies on the features of web APIs that make them more likely to be used and the issues of using web APIs in practice. Moreover, users' …

Layout Generation As Intermediate Action Sequence Prediction, Huiting Yang, Danqing Huang, Chin-Yew Lin, Shengfeng He

Research Collection School Of Computing and Information Systems

Layout generation plays a crucial role in graphic design intelligence. One important characteristic of the graphic layouts is that they usually follow certain design principles. For example, the principle of repetition emphasizes the reuse of similar visual elements throughout the design. To generate a layout, previous works mainly attempt at predicting the absolute value of bounding box for each element, where such target representation has hidden the information of higher-order design operations like repetition (e.g. copy the size of the previously generated element). In this paper, we introduce a novel action schema to encode these operations for better modeling the …

Planning And Learning For Non-Markovian Negative Side Effects Using Finite State Controllers, Aishwarya Srivastava, Sandhya Saisubramanian, Praveen Paruchuri, Akshat Kumar, Shlomo Zilberstein

Research Collection School Of Computing and Information Systems

Autonomous systems are often deployed in the open world where it is hard to obtain complete specifications of objectives and constraints. Operating based on an incomplete model can produce negative side effects (NSEs), which affect the safety and reliability of the system. We focus on mitigating NSEs in environments modeled as Markov decision processes (MDPs). First, we learn a model of NSEs using observed data that contains state-action trajectories and severity of associated NSEs. Unlike previous works that associate NSEs with state-action pairs, our framework associates NSEs with entire trajectories, which is more general and captures non-Markovian dependence on states …

Mitigating Popularity Bias For Users And Items With Fairness-Centric Adaptive Recommendation, Zhongzhou Liu, Yuan Fang, Min Wu

Research Collection School Of Computing and Information Systems

Recommendation systems are popular in many domains. Researchers usually focus on the effectiveness of recommendation (e.g., precision) but neglect the popularity bias that may affect the fairness of the recommendation, which is also an important consideration that could influence the benefits of users and item providers. A few studies have been proposed to deal with the popularity bias, but they often face two limitations. Firstly, most studies only consider fairness for one side - either users or items, without achieving fairness jointly for both. Secondly, existing methods are not sufficiently tailored to each individual user or item to cope with …

Learning To Count Isomorphisms With Graph Neural Networks, Xingtong Yu, Zemin Liu, Yuan Fang, Xinming Zhang

Research Collection School Of Computing and Information Systems

Subgraph isomorphism counting is an important problem on graphs, as many graph-based tasks exploit recurring subgraph patterns. Classical methods usually boil down to a backtracking framework that needs to navigate a huge search space with prohibitive computational costs. Some recent studies resort to graph neural networks (GNNs) to learn a low-dimensional representation for both the query and input graphs, in order to predict the number of subgraph isomorphisms on the input graph. However, typical GNNs employ a node-centric message passing scheme that receives and aggregates messages on nodes, which is inadequate in complex structure matching for isomorphism counting. Moreover, on …

On Generalized Degree Fairness In Graph Neural Networks, Zemin Liu, Trung Kien Nguyen, Yuan Fang

Research Collection School Of Computing and Information Systems

Conventional graph neural networks (GNNs) are often confronted with fairness issues that may stem from their input, including node attributes and neighbors surrounding a node. While several recent approaches have been proposed to eliminate the bias rooted in sensitive attributes, they ignore the other key input of GNNs, namely the neighbors of a node, which can introduce bias since GNNs hinge on neighborhood structures to generate node representations. In particular, the varying neighborhood structures across nodes, manifesting themselves in drastically different node degrees, give rise to the diverse behaviors of nodes and biased outcomes. In this paper, we first define …

Flexible Job-Shop Scheduling Via Graph Neural Network And Deep Reinforcement Learning, Wen Song, Xinyang Chen, Qiqiang Li, Zhiguang Cao

Research Collection School Of Computing and Information Systems

Recently, deep reinforcement learning (DRL) has been applied to learn priority dispatching rules (PDRs) for solving complex scheduling problems. However, the existing works face challenges in dealing with flexibility, which allows an operation to be scheduled on one out of multiple machines and is often required in practice. Such one-to-many relationship brings additional complexity in both decision making and state representation. This article considers the well-known flexible job-shop scheduling problem and addresses these issues by proposing a novel DRL method to learn high-quality PDRs end to end. The operation selection and the machine assignment are combined as a composite decision. …

Pose- And Attribute-Consistent Person Image Synthesis, Cheng Xu, Zejun Chen, Jiajie Mai, Xuemiao Xu, Shengfeng He

Research Collection School Of Computing and Information Systems

PersonImageSynthesisaimsattransferringtheappearanceofthesourcepersonimageintoatargetpose. Existingmethods cannot handle largeposevariations and therefore suffer fromtwocritical problems: (1)synthesisdistortionduetotheentanglementofposeandappearanceinformationamongdifferentbody componentsand(2)failureinpreservingoriginalsemantics(e.g.,thesameoutfit).Inthisarticle,weexplicitly addressthesetwoproblemsbyproposingaPose-andAttribute-consistentPersonImageSynthesisNetwork (PAC-GAN).Toreduceposeandappearancematchingambiguity,weproposeacomponent-wisetransferring modelconsistingoftwostages.Theformerstagefocusesonlyonsynthesizingtargetposes,whilethelatter renderstargetappearancesbyexplicitlytransferringtheappearanceinformationfromthesourceimageto thetargetimageinacomponent-wisemanner. Inthisway,source-targetmatchingambiguityiseliminated duetothecomponent-wisedisentanglementofposeandappearancesynthesis.Second,tomaintainattribute consistency,werepresenttheinputimageasanattributevectorandimposeahigh-levelsemanticconstraint usingthisvectortoregularizethetargetsynthesis.ExtensiveexperimentalresultsontheDeepFashiondataset demonstratethesuperiorityofourmethodoverthestateoftheart,especiallyformaintainingposeandattributeconsistenciesunderlargeposevariations.

Scalable And Globally Optimal Generalized L1 K-Center Clustering Via Constraint Generation In Mixed Integer Linear Programming, Aravinth Chembu, Scott Sanner, Hassan Khurram, Akshat Kumar

Research Collection School Of Computing and Information Systems

The k-center clustering algorithm, introduced over 35 years ago, is known to be robust to class imbalance prevalent in many clustering problems and has various applications such as data summarization, document clustering, and facility location determination. Unfortunately, existing k-center algorithms provide highly suboptimal solutions that can limit their practical application, reproducibility, and clustering quality. In this paper, we provide a novel scalable and globally optimal solution to a popular variant of the k-center problem known as generalized L1 k-center clustering that uses L1 distance and allows the selection of arbitrary vectors as cluster centers. We show that this clustering objective …

Constrained Reinforcement Learning In Hard Exploration Problems, Pankayaraj Pathmanathan, Pradeep Varakantham

Research Collection School Of Computing and Information Systems

One approach to guaranteeing safety in Reinforcement Learning is through cost constraints that are imposed on trajectories. Recent works in constrained RL have developed methods that ensure constraints can be enforced even at learning time while maximizing the overall value of the policy. Unfortunately, as demonstrated in our experimental results, such approaches do not perform well on complex multi-level tasks, with longer episode lengths or sparse rewards. To that end, wepropose a scalable hierarchical approach for constrained RL problems that employs backward cost value functions in the context of task hierarchy and a novel intrinsic reward function in lower levels …

Future Aware Pricing And Matching For Sustainable On-Demand Ride Pooling, Xianjie Zhang, Pradeep Varakantham, Hao Jiang

Research Collection School Of Computing and Information Systems

The popularity of on-demand ride pooling is owing to the benefits offered to customers (lower prices), taxi drivers (higher revenue), environment (lower carbon footprint due to fewer vehicles) and aggregation companies like Uber (higher revenue). To achieve these benefits, two key interlinked challenges have to be solved effectively: (a) pricing – setting prices to customer requests for taxis; and (b) matching – assignment of customers (that accepted the prices) to taxis/cars. Traditionally, both these challenges have been studied individually and using myopic approaches (considering only current requests), without considering the impact of current matching on addressing future requests. In this …