Digital Commons Network^™

Who Recommends New Name For Monkeypox Disease

Saudi Medical Journal

No abstract provided.

Epidemiology And Antimicrobial Resistance Of Staphylococci Other Than Staphylococcus Aureus From Domestic Animals And Livestock In Africa: A Systematic Review, Remous Ocloo, Justin Nyasinga, Mohammed Munshi, Aisha Hamdy, Tessa Marciniak, Manonmani Soundararajan, Mae Newton-Foot, Wilma Ziebuhr, Manonmani Soundararajan, Gunturu Revathi

Pathology, East Africa

Introduction: Staphylococci other than Staphylococcus aureus (SOSA) in animals are becoming more pathogenic and antibiotic resistant and can potentially disseminate to humans. However, there is little synthesized information regarding SOSA from animals in Africa. This systematic review provides a comprehensive overview of the epidemiology and antimicrobial resistance of SOSA in companion animals (pets) and livestock in Africa.

Method: This systematic review (PROSPERO-CRD42021252303) was conducted according to the PRISMA guidelines, and 75 eligible studies from 13 countries were identified until August 2022. Three electronic databases (Pubmed, Scopus and Web of Science) were employed.

Results: The frequently isolated SOSA …

Back When Tigers Used To Smoke, Gina Bae, Special Collections, Fleet Library

9th Baker & Whitehill Student Artists' Book Contest 2023

Entry for the 9th Annual Baker & Whitehill Student Artists' Book Contest. Opening Reception Thursday, March 02, 2023, Fleet Library, Main Reading Room. Juror: Andre Lee Bassuet.

Empirical Study Of Cashback Affiliate Strategy: Evidence From A Cashback Website, Liu Xinyong

Dissertations and Theses Collection (Open Access)

With the rapid development of internet technology, e-commerce has become increasingly prosperous with online shopping increasingly penetrating into the daily life of consumers. Online channel has become an indispensable channel for merchants to reach their customers. To improve sales performance and address competition from rivals, online merchants have developed various promotion methods. Cashback promotion has gradually become one of the popular promotion methods, and attracted attention from scholars. This paper aims to investigate the relationship between cashbacks and consumer behaviors using data on Taobao merchants on a large cashback website in China. Two studies with a large number of transaction …

Employees’ Job Positions, Psychological Ownership, And Commitment To Change, Bo Zhang

Dissertations and Theses Collection (Open Access)

Organisational change is crucial to the development of enterprises. However, when enterprises are implementing major changes, there are great differences in the attitudes and behaviours of employees in different job positions toward changes. Research in this area is insufficient. Therefore, this dissertation investigates the problem of employee commitment amid enterprises’ organisational changes. This dissertation is committed to determining why employees at different levels and with different roles have different degrees of commitment to change and confirming the role of job positions in affecting employees’ psychological ownership of the change process. According to the findings, the impact of employees’ job rank …

Delegation At The Founding: A Response To Critics, Julian Davis Mortenson, Nicholas Bagley

Articles

This essay responds to the wide range of commentary on Delegation at the Founding, published previously in the Columbia Law Review. The critics’ arguments deserve thoughtful consideration and a careful response. We’re happy to supply both. As a matter of eighteenth-century legal and political theory, “rulemaking” could not be neatly described as either legislative or executive based on analysis of its scope, subject, or substantive effect. To the contrary: Depending on the relationships you chose to emphasize, a given act could properly be classified as both legislative (from the perspective of the immediate actor) and also executive (from the perspective …

Pupil Voice Groups: The Impact On Schools And Students, Eric Rubenstein, James D. Scott, Jason Peake

Journal of Youth Development

Over 30 years ago, the United Nations Convention on the Rights of the Child passed legislation allowing children under the age of 18 to express their concerns in circumstances and decisions that affect them. Because one impact on children under the age of 18 is the educational system, Scotland education has integrated opportunities for students to be involved in the educational process. Pupil voice groups are one of the techniques that have been implemented in Scotland and throughout Europe. These groups allow students to have a voice in their education that may impact development. Researchers sought to identify the impacts …

After-School Connectedness, Racial–Ethnic Identity, Affirmation, And Problem Behaviors, Danielle A. Augustine, Emilie Smith, Dawn P. Witherspoon

Journal of Youth Development

After-school programs are potential contexts that may promote positive youth development (PYD) and reduce problem behaviors among African American children. One way after-school programs may be associated with reduced problem behaviors is by fostering an affirming sense of identity. Prior research on racial–ethnic identity among African American children and adolescents has shown that a positive and affirming sense of identity is related to less maladaptive coping, yet little is known about how after-school programs may foster an affirming sense of identity and lead to reduced problem behaviors. The current study adds to this discourse by investigating how children’s connection to …

Vol. 35, Iss. 1 [Full Issue], _ _

A Midwestern Review: A Magazine of the Arts and Issues at DePauw University

No abstract provided.

18f-Fdg Pet/Ct Staging Of Head And Neck Cancer: Interobserver Agreement And Accuracy—Results From Multicenter Acrin 6685 Clinical Trial, Rathan M Subramaniam, Fenghai M Duan, Justin Romanoff, Jian Qin Yu, Twyla Bartel, Farrokh Dehdashti, Charles M Intenzo, Lilja Solnes, Jorean Sicks, Brendan C Stack, Val J Lowe

Department of Radiology Faculty Papers

To our knowledge, no prior multicenter clinical trial has reported interobserver agreement of 18F-FDG PET/CT scans for staging of clinical N0 neck in head and neck cancer. Methods: A total of 287 participants were recruited. For visual analysis, positive nodal uptake of 18F-FDG was defined as uptake visually greater than activity seen in the blood pool. Results: The negative predictive value of the 18F-FDG PET/CT for N0 clinical neck was 86% or above for visual assessment (95% CI, 86%-88%) for the 2 central readers and above 90% (95% CI, 90%-95%) for SUVmax for central reads and site reads dichotomized at …

Assessing The Impact Of Ferry Transit On Urban Crime, Bryan S. Weber, Paolo Cappellari

Publications and Research

In 2017, over a dozen ferry stations were introduced across the NYC region on multiple dates, serving roughly 10,000 customers per day. We measure a negative association between these stations and crime reduction, a significant decline of 11 crimes per week (11%) at a one-mile radius around the stations, and about 1 crime per week (32%) over the extremely narrow base of crime at the station itself. We also find no evidence of crime displacement. This study first utilized a traditional difference-in-differences methodology, but we also used a new tool, the causal random forest. Both methodologies are compared and contrasted …

Insectdisease: Programmatic Access To The Ecological Database Of The World’S Insect Pathogens, Tad Dallas, Colin J. Carlson, Patrick R. Stephens, Sadie J. Ryan, David W. Onstad

Faculty Publications

Curated databases of species interactions are instrumental to exploring and understanding the spatial distribution of species and their biotic interactions. In the process of conducting such projects, data development and curation efforts may give rise to a data product with utility beyond the scope of the original work, but which becomes inaccessible over time. Data describing insect host–pathogen interactions are fairly rare, and should thus be preserved and curated with appropriate metadata. Here, we introduce the insectDisease R package, a mechanism for curating, updating and distributing data from the Ecological Database of the World's Insect Pathogens, a database of insect …

Association Between Dietary Inflammatory Index Score And Muscle Mass And Strength In Older Adults: A Study From National Health And Nutrition Examination Survey (Nhanes) 1999-2002, Lingzhi Chen, Jingjing Ming, Tianyi Chen, James Hébert Scd, Peng Sun, Li Zhang, Hongya Wang, Qingkuo Wu, Cancan Zhang, Nitin Shivappa Mbbs, Mph, Ph.D., Bo Ban

Faculty Publications

Purpose

Chronic low-grade systemic inflammation affects muscle protein metabolism. The dietary inflammatory index (DII®) is a tool designed to assess the inflammatory potential of the diet. The available data on the association between DII and sarcopenia are limited. We aimed to investigate the association of the DII with components of sarcopenia in individuals over 50 years of age.

Methods

This cross-sectional study used the National Health and Nutrition Examination Survey (NHANES) 1999–2002 dataset. Body composition was measured, and isokinetic strength of the knee extensors (peak force) was evaluated. Low muscle mass and strength were defined using sex-specific thresholds. Energy-adjusted DII …

2022 Summer-Fall Graduate Recognition Program, Propulsion Research Center, Robert Frederick

PRC Graduate Recognition

This program includes the graduate recognition program for summer and fall 2022. Includes photographs, upcoming events, recent publications, and student profiles.

An Interview With Stephen J. West, Julia Grunes

Gandy Dancer Archives

No abstract provided.

Gandy Dancer 11.1, Gandy Dancer

Gandy Dancer Archives

No abstract provided.

Dismembering Monstrous Metaphors In Latinx Speculative Fiction, Danielle Garcia-Karr

Theses and Dissertations

U.S. public discourse and popular media are rife with monstrous metaphors of Latinxs. This thesis argues that these gothic monstrous metaphors construct an affective economy of fear, which results in material violence and the devastation of Latinx lives. I further argue that to intervene within this affective economy, Latinx authors write speculative fiction, employing critical race methodologies, to negotiate monstrosity in relation to citizenship. In other words, speculative Latinx authors disidentify with monsters and enact epistemic disobedience, problematizing the known and naturalized and delinking Latinx people from monstrous metaphors to interrupt cycles of fear and violence. In exploring this metaphoric …

Effects Of Glp-1 Receptor Agonists On Cardiovascular Outcomes In Patients With Type 2 Diabetes And Chronic Kidney Disease: A Systematic Review And Meta-Analysis, Michael Kelly, Jelena Lewis, Hindu Rao, Jessica Carter, Ivan Portillo, Richard Beuttler

College of Pharmacy Faculty Papers

AIM: To evaluate the cardiovascular outcomes of glucagon-like peptide-1 receptor agonists (GLP1-RA) in patients with type 2 diabetes (T2DM) and chronic kidney disease (CKD).

MATERIALS AND METHODS: We searched PubMed, Ovid MEDLINE, CINAHL, and Web of Science databases for randomized controlled trials reporting event rates for a composite cardiovascular outcome of cardiovascular death, myocardial infarction, and stroke in patients with T2DM and CKD receiving GLP1-RA or placebo. Studies were restricted to those reporting specific event rates for patients with CKD separately from the overall population. We conducted a meta-analysis using a random-effects model. This meta-analysis was registered on PROSPERO (CRD42022320157). …

Dietary And Complementary Feeding Practices Of Us Infants, 6 To 12 Months: A Narrative Review Of The Federal Nutrition Monitoring Data, Regan L Bailey, Jaime S Stang, Teresa A Davis, Timothy S Naimi, Barbara O Schneeman, Kathryn G Dewey, Sharon M Donovan, Rachel Novotny, Ronald E Kleinman, Elsie M Taveras, Lydia Bazzano, Linda G Snetselaar, Janet De Jesus, Kellie O Casavale, Eve E Stoody, Joseph D Goldman, Alanna J Moshfegh, Donna G Rhodes, Kirsten A Herrick, Kristin Koegel, Cria G Perrine, Tusarebecca Pannucci

Children’s Nutrition Research Center Staff Publications

Complementary foods and beverages (CFBs) are key components of an infant’s diet in the second 6 months of life. This article summarizes nutrition and feeding practices examined by the 2020 Dietary Guidelines Advisory Committees during the CFB life stage. Breastfeeding initiation is high (84%), but exclusive breastfeeding at 6 months (26%) is below the Healthy People 2030 goal (42%). Most infants (51%) are introduced to CFBs sometime before 6 months. The primary mode of feeding (ie, human milk fed [HMF]; infant formula or mixed formula and human milk fed [FMF]) at the initiation of CFBs is associated with the timing …

Randomization, Design And Analysis For Interdependency In Aging Research: No Person Or Mouse Is An Island, Daniella E Chusyd, Steven N Austad, Stephanie L Dickinson, Keisuke Ejima, Gary L Gadbury, Lilian Golzarri-Arroyo, Richard J Holden, Yasaman Jamshidi-Naeini, Doug Landsittel, Tapan Mehta, J Michael Oakes, Arthur H Owora, Greg Pavela, Javier Rojo, Michael W Sandel, Daniel L Smith, Colby J Vorland, Pengcheng Xun, Roger Zoh, David B Allison

Children’s Nutrition Research Center Staff Publications

Investigators traditionally use randomized designs and corresponding analysis procedures to make causal inferences about the effects of interventions, assuming independence between an individual's outcome and treatment assignment and the outcomes of other individuals in the study. Often, such independence may not hold. We provide examples of interdependency in model organism studies and human trials and group effects in aging research and then discuss methodologic issues and solutions. We group methodologic issues as they pertain to (1) single-stage individually randomized trials; (2) cluster-randomized controlled trials; (3) pseudo-cluster-randomized trials; (4) individually randomized group treatment; and (5) two-stage randomized designs. Although we present …

Assessment Design For Digital Education: An Analytics-Based Authentic Assessment Approach, Lim Ming Soon Tristan, Gottipati Swapna, Michelle L. F. Cheong, Christopher Pang, Jun Wei Ng

Research Collection School Of Computing and Information Systems

This study looks to identify an assessment design construct that overcomes known issues in authentic assessment design practices in digital education. These include lack of "freedom-of-choice", lack of focus on multimodal nature of the digital process, and shortage of effective feedbacks. This study proposes an authentic assessment, that combines gamification (G) with heutagogy (H) and multimodality (M) of assessments, building upon learning analytics (A), known as GHMA. Proposed assessment design is a skills-oriented game-based assessment approach. Learners can determine their own goals and create individualized multimodal artefacts; receive cognitive challenge through cognitively complex tasks structured in gamified non-linear learning paths; …

Learning Dynamic Multimodal Implicit And Explicit Networks For Multiple Financial Tasks, Meng Kiat Gary Ang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Many financial f orecasting d eep l earning w orks focus on the single task of predicting stock returns for trading with unimodal numerical inputs. Investment and risk management however involves multiple financial t asks - f orecasts o f expected returns, risks and correlations of multiple stocks in portfolios, as well as important events affecting different stocks - to support decision making. Moreover, stock returns are influenced by large volumes of non-stationary time-series information from a variety of modalities and the propagation of such information across inter-company relationship networks. Such networks could be explicit - observed co-occurrences in online …

An Efficient Annealing-Assisted Differential Evolution For Multi-Parameter Adaptive Latent Factor Analysis, Qing Li, Guansong Pang, Mingsheng Shang

Research Collection School Of Computing and Information Systems

A high-dimensional and incomplete (HDI) matrix is a typical representation of big data. However, advanced HDI data analysis models tend to have many extra parameters. Manual tuning of these parameters, generally adopting the empirical knowledge, unavoidably leads to additional overhead. Although variable adaptive mechanisms have been proposed, they cannot balance the exploration and exploitation with early convergence. Moreover, learning such multi-parameters brings high computational time, thereby suffering gross accuracy especially when solving a bilinear problem like conducting the commonly used latent factor analysis (LFA) on an HDI matrix. Herein, an efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis …

Segment-Wise Time-Varying Dynamic Bayesian Network With Graph Regularization, Xing Yang, Chen Zhang, Baihua Zheng

Research Collection School Of Computing and Information Systems

Time-varying dynamic Bayesian network (TVDBN) is essential for describing time-evolving directed conditional dependence structures in complex multivariate systems. In this article, we construct a TVDBN model, together with a score-based method for its structure learning. The model adopts a vector autoregressive (VAR) model to describe inter-slice and intra-slice relations between variables. By allowing VAR parameters to change segment-wisely over time, the time-varying dynamics of the network structure can be described. Furthermore, considering some external information can provide additional similarity information of variables. Graph Laplacian is further imposed to regularize similar nodes to have similar network structures. The regularized maximum a …

A Logistic Regression And Linear Programming Approach For Multi-Skill Staffing Optimization In Call Centers, Thuy Anh Ta, Tien Mai, Fabian Bastin, Pierre L'Ecuyer

Research Collection School Of Computing and Information Systems

We study a staffing optimization problem in multi-skill call centers. The objective is to minimize the total cost of agents under some quality of service (QoS) constraints. The key challenge lies in the fact that the QoS functions have no closed-form and need to be approximated by simulation. In this paper we propose a new way to approximate the QoS functions by logistic functions and design a new algorithm that combines logistic regression, cut generations and logistic-based local search to efficiently find good staffing solutions. We report computational results using examples up to 65 call types and 89 agent groups …

R2f: A General Retrieval, Reading And Fusion Framework For Document-Level Natural Language Inference, Hao Wang, Yixin Cao, Yangguang Li, Zhen Huang, Kun Wang, Jing Shao

Research Collection School Of Computing and Information Systems

Document-level natural language inference (DocNLI) is a new challenging task in natural language processing, aiming at judging the entailment relationship between a pair of hypothesis and premise documents. Current datasets and baselines largely follow sentence-level settings, but fail to address the issues raised by longer documents. In this paper, we establish a general solution, named Retrieval, Reading and Fusion (R2F) framework, and a new setting, by analyzing the main challenges of DocNLI: interpretability, long-range dependency, and cross-sentence inference. The basic idea of the framework is to simplify document-level task into a set of sentence-level tasks, and improve both performance and …

Differentiated Security Architecture For Secure And Efficient Infotainment Data Communication In Iov Networks, Jiani Fan, Lwin Khin Shar, Jiale Guo, Wenzhuo Yang, Dusit Niyato, Kwok-Yan Lam

Research Collection School Of Computing and Information Systems

This paper aims to provide differentiated security protection for infotainment data commu- nication in Internet-of-Vehicle (IoV) networks. The IoV is a network of vehicles that uses various sensors, software, built-in hardware, and communication technologies to enable information exchange between pedestrians, cars, and urban infrastructure. Negligence on the security of infotainment data commu- nication in IoV networks can unintentionally open an easy access point for social engineering attacks. The attacker can spread false information about traffic conditions, mislead drivers in their directions, and interfere with traffic management. Such attacks can also cause distractions to the driver, which has a potential implication …

Pickup And Multi-Delivery Problem With Time Windows, Pham Tuan Anh, Aldy Gunawan, Vincent F. Yu, Tuan C. Chau

Research Collection School Of Computing and Information Systems

This paper addresses a new variant of Pickup and Delivery Problem with Time Windows (PDPTW) for enhancing customer satisfaction. In particular, a huge number of requests is served in the system, where each request includes a pickup node and several delivery nodes instead of a pair of pickup and delivery nodes. It is named Pickup and Multi-Delivery Problem with Time Windows (PMDPTW). A mixed-integer programming model is formulated with the objective of minimizing total travel costs. Computational experiments are conducted to test the correctness of the model with a newly generated benchmark based on the PDPTW benchmark instances. Results show …

Cold Calls To Enhance Class Participation And Student Engagement, Manoj Thulasidas, Aldy Gunawan

Research Collection School Of Computing and Information Systems

The question whether cold calls increase student engagement in the classroom has not been conclusively answered in the literature. This study describes the automated system to implement unbiased, randomized cold calling by posing a question, allowing all students to think first and then calling on a particular student to respond. Since we already have a measure of the level of student engagement as the self-reported classparticipation entries from the students, its correlation to cold calling is also further studied. The results show that there is a statistically significant increase in the class participation reported, and therefore in student engagement, in …

Gamified Online Industry Learning Platform For Teaching Of Foundational Computing Skills, Yi Meng Lau, Rafael Jose Barros Barrios, Gottipati Swapna, Kyong Jin Shim

Research Collection School Of Computing and Information Systems

Online industry learning platforms are widely used by organizations for employee training and upskilling. Courses or lessons offered by these platforms can be generic or specific to an enterprise application. The increased demand of new hires to learn these platforms or who are already certified in some of these courses has led universities to look at the opportunities for integrating online industry learning platforms into their curricula. Universities hope to use these platforms to aid students in their learning of concepts and theories. At the same time, these platforms can equip students with industryrecognized certifications or digital badges. This paper …