Digital Commons Network^™

It’S Elementary: The Curricular Decision-Making And Instructional Practices Of Black Male Elementary Teachers., Ashlea Jean Campbell

Dissertations

This study explored the curricular decision-making and instructional practices of four Black male elementary teachers in a large suburban school district. In order to capture the intersection of their racial and gender identity with their educational practices, the researcher utilized educational connoisseurship and criticism, a methodology that examines the nuances that exist in the curricular and pedagogical choices of teachers. Critical race theory provided a framework for addressing the nuance that exists while also challenging dominant ideology regarding Black male elementary teachers. In addition to interviews and observations, this study provided space for participants to contribute directly to the data …

An Instrumental Case Study Of Teachers' Perceptions Of Mandatory Professional Development During Educational Reform Efforts, Jennifer Elaine Wakeman

Dissertations

This instrumental case study explored 12 public-school teachers’ perceptions of mandatory professional development (PD) during times of educational reform efforts in the state of Colorado. The participants in this study represented five unique school districts in suburban and semi-rural settings who had experienced 14 hours or more of mandated PD on a single topic in the past 24 months and had at least five years of classroom experience. Two research questions guided this case study: What are teachers’ perceptions of professional development that is mandated as part of a district-wide instructional improvement initiative? What do teachers say they need in …

Synthesis, Self-Assembly, And Material Applications Of Unimolecular Polyviologens, Abigail Delawder

Arts & Sciences Graduate Student Theses and Dissertations

Intellectual Gaps: Synthesis of high molecular weight, unimolecular, and sequence-defined polyviologens; spatiotemporal control over mechanical properties of materials using visible and near-IR light; on-demand, post hoc manipulation of materialsIntellectual Merit: Robust method for synthesizing higher-order polyviologens of distinct molecular weight; control the change in the mechanical properties of polymer-based, crosslinked materials using a wide range of wavelengths of light; degradation of viologen-crosslinked hydrogels To understand fundamentally how viologens behave within a polymer chain, we needed a better and more efficient way of synthesizing these long chains of polyviologens. As simple as this process looks on paper, the synthesis is tedious …

Virtual Peer-To-Peer Learning To Enhance And Accelerate The Health System Response To Covid-19: The Hhs Aspr Project Echo Covid-19 Clinical Rounds Initiative., Richard C. Hunt, Bruce B. Struminger, John T. Redd, Jack Herrmann, B Tillman Jolly, Sanjeev Arora, Amy J. Armistad, Amanda M. Dezan, Celine A. Bennett, Jon R. Krohmer, Lawrence H. Brown

Project ECHO Bibliography

Tasked with identifying digital health solutions to support dynamic learning health systems and their response to COVID-19, the US Department of Health and Human Services Office of the Assistant Secretary for Preparedness and Response partnered with the University of New Mexico's Project ECHO and more than 2 dozen other organizations and agencies to create a real-time virtual peer-to-peer clinical education opportunity: the COVID-19 Clinical Rounds Initiative. Focused on 3 "pressure points" in the COVID-19 continuum of care-(1) the out-of-hospital and/or emergency medical services setting, (2) emergency departments, and (3) inpatient critical care environments-the initiative has created a massive peer-to-peer learning …

Student’S Challenges In Access To Digital Resources In Higher Education Institutes Of Pakistan, Qaiser Iqbal, Muhammad Tariq, Zaheer Ahmad

Library Philosophy and Practice (e-journal)

Purpose-

Consider that some high-quality learning processes in higher education are impossible without the use of technology, particularly considering its impact on the development of abilities & skills for the 21st-century. Shifting from a paper resource to a digital format enables users with a variety of access and usage options. Still, at the same time, some other challenges emerged which include the quality, cost, life, validity and credibility of digital contents. This research work is a detailed description of the challenges/ problems confronting by the researchers while accessing digital information resources.

Methodology- This study designed a quantitative research method by …

Awareness And Use Of E-Resources At Chandigarh College Of Architecture, Chandigarh, India: A Study, Bhanu Partap, Manju Ranga

Library Philosophy and Practice (e-journal)

This paper is an attempt to study the awareness and use of e-resources among the students at Chandigarh College of Architecture, Chandigarh, India. For the present study, survey method has been adopted using questionnaire as a data gathering tool. Copies of self designed questionnaire were distributed online through e-mail/WhatsApp to the 150 students during February-March, 2021. Out of total 150 administered questionnaires, 127 completely filled questionnaires were received back and found valid for analysis. The response rate is achieved @84.66 percent. The study revealed that more than 90 percent of the respondents were aware about the use of electronic resources …

Leveraging Two Types Of Global Graph For Sequential Fashion Recommendation, Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat‑Seng Chua

Research Collection School Of Computing and Information Systems

Sequential fashion recommendation is of great significance in online fashion shopping, which accounts for an increasing portion of either fashion retailing or online e-commerce. The key to building an effective sequential fashion recommendation model lies in capturing two types of patterns: the personal fashion preference of users and the transitional relationships between adjacent items. The two types of patterns are usually related to user-item interaction and item-item transition modeling respectively. However, due to the large sets of users and items as well as the sparse historical interactions, it is difficult to train an effective and efficient sequential fashion recommendation model. …

Discovery Of Mental Wellness Via Social Analytics For Liveability In An Urban City, Kar Way Tan

Research Collection School Of Computing and Information Systems

Smart cities, are often perceived as urban areas that use technologies to manage resources, improve economy and enhance community livelihood. In this paper, we share an approach which uses multiple sources of data for evidence-based analysis of the public's views, concerns and sentiments on the topic related to mental wellness. We hope to bring forth a better understanding of the existing concerns of the citizens and available social support. Our study leverages on social sensing via text mining and social network analysis to listen to the voices of the citizens through revealed content from web data sources, such as social …

Automating The Removal Of Obsolete Todo Comments, Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann

Research Collection School Of Computing and Information Systems

TODO comments are very widely used by software developers to describe their pending tasks during software development. However, after performing the task developers sometimes neglect or simply forget to remove the TODO comment, resulting in obsolete TODO comments. These obsolete TODO comments can confuse development teams and may cause the introduction of bugs in the future, decreasing the software’s quality and maintainability. Manually identifying obsolete TODO comments is time-consuming and expensive. It is thus necessary to detect obsolete TODO comments and remove them automatically before they cause any unwanted side effects. In this work, we propose a novel model, named …

A Survey On Complex Knowledge Base Question Answering: Methods, Challenges And Solutions, Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen

Research Collection School Of Computing and Information Systems

Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB). Recently, a large number of studies focus on semantically or syntactically complicated questions. In this paper, we elaborately summarize the typical challenges and solutions for complex KBQA. We begin with introducing the background about the KBQA task. Next, we present the two mainstream categories of methods for complex KBQA, namely semantic parsing-based (SP-based) methods and information retrieval-based (IR-based) methods. We then review the advanced methods comprehensively from the perspective of the two categories. Specifically, we explicate their solutions to the typical challenges. Finally, we conclude …

Node-Wise Localization Of Graph Neural Networks, Zemin Liu, Yuan Fang, Chenghao Liu, Steven C.H. Hoi

Research Collection School Of Computing and Information Systems

Graph neural networks (GNNs) emerge as a powerful family of representation learning models on graphs. To derive node representations, they utilize a global model that recursively aggregates information from the neighboring nodes. However, different nodes reside at different parts of the graph in different local contexts, making their distributions vary across the graph. Ideally, how a node receives its neighborhood information should be a function of its local context, to diverge from the global GNN model shared by all nodes. To utilize node locality without overfitting, we propose a node-wise localization of GNNs by accounting for both global and local …

Integrating Knowledge Compilation With Reinforcement Learning For Routes, Jiajing Ling, Kushagra Chandak, Akshat Kumar

Research Collection School Of Computing and Information Systems

Sequential multiagent decision-making under partial observability and uncertainty poses several challenges. Although multiagent reinforcement learning (MARL) approaches have increased the scalability, addressing combinatorial domains is still challenging as random exploration by agents is unlikely to generate useful reward signals. We address cooperative multiagent pathfinding under uncertainty and partial observability where agents move from their respective sources to destinations while also satisfying constraints (e.g., visiting landmarks). Our main contributions include: (1) compiling domain knowledge such as underlying graph connectivity and domain constraints into propositional logic based decision diagrams, (2) developing modular techniques to integrate such knowledge with deep MARL algorithms, and …

Data Pricing And Data Asset Governance In The Ai Era, Jian Pei, Feida Zhu, Zicun Cong, Luo Xuan, Liu Huiwen, Xin Mu

Research Collection School Of Computing and Information Systems

Data is one of the most critical resources in the AI Era. While substantial research has been dedicated to training machine learning models using various types of data, much less efforts have been invested in the exploration of assessing and governing data assets in end-to-end processes of machine learning and data science, that is, the pipeline where data is collected and processed, and then machine learning models are produced, requested, deployed, shared and evolved. To provide a state-of-the-art overall picture of this important and novel area and advocate the related research and development, we present a tutorial addressing two essential …

Code2que: A Tool For Improving Question Titles From Mined Code Snippets In Stack Overflow, Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Yuan-Fang Li

Research Collection School Of Computing and Information Systems

Stack Overflow is one of the most popular technical Q&A sites used by software developers. Seeking help from Stack Overflow has become an essential part of software developers' daily work for solving programming-related questions. Although the Stack Overflow community has provided quality assurance guidelines to help users write better questions, we observed that a significant number of questions submitted to Stack Overflow are of low quality. In this paper, we introduce a new web-based tool, Code2Que, which can help developers in writing higher quality questions for a given code snippet. Code2Que consists of two main stages: offline learning and online …

Learning From Miscellaneous Other-Class Words For Few-Shot Named Entity Recognition, Meihan Tong, Shuai Wang, Bin Xu, Yixin Cao, Minghui Liu, Lei Hou, Juanzi Li

Research Collection School Of Computing and Information Systems

Few-shot Named Entity Recognition (NER) exploits only a handful of annotations to identify and classify named entity mentions. Prototypical network shows superior performance on few-shot NER. However, existing prototypical methods fail to differentiate rich semantics in other-class words, which will aggravate overfitting under few shot scenario. To address the issue, we propose a novel model, Mining Undefined Classes from Other-class (MUCO), that can automatically induce different undefined classes from the other class to improve few-shot NER. With these extra-labeled undefined classes, our method will improve the discriminative ability of NER classifier and enhance the understanding of predefined classes with stand-by …

The 4th Workshop On Heterogeneous Information Network Analysis And Applications (Hena 2021), Chuan Shi, Yuan Fang, Yanfang Ye, Jiawei Zhang

Research Collection School Of Computing and Information Systems

The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021) is co-located with the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. The goal of this workshop is to bring together researchers and practitioners in the field and provide a forum for sharing new techniques and applications in heterogeneous information network analysis. This workshop has an exciting program that spans a number of subtopics, such as heterogeneous network embedding and graph neural networks, data mining techniques on heterogeneous information networks, and applications of heterogeneous information network analysis. The workshop program includes several invited speakers, lively discussion …

Automated Taxi Queue Management At High-Demand Venues, Mengyu Ji, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

In this paper, we seek to identify an effective management policy that could reduce supply-demand gaps at taxi queues serving high-density locations where demand surges frequently happen. Unlike current industry practice, which relies on broadcasting to attract taxis to come and serve the queue, we propose more proactive and adaptive approaches to handle demand surges. Our design objective is to reduce the cumulative supply-demand gaps as much as we could by sending notifications to individual taxis. To address this problem, we first propose a highly effective passenger demand prediction system that is based on the real-time flight arrival information. By …

Type And Interval Aware Array Constraint Solving For Symbolic Execution, Ziqi Shuai, Zhenbang Chen, Yufeng Zhang, Jun Sun, Ji Wang

Research Collection School Of Computing and Information Systems

Array constraints are prevalent in analyzing a program with symbolic execution. Solving array constraints is challenging due to the complexity of the precise encoding for arrays. In this work, we propose to synergize symbolic execution and array constraint solving. Our method addresses the difficulties in solving array constraints with novel ideas. First, we propose a lightweight method for pre-checking the unsatisfiability of array constraints based on integer linear programming. Second, observing that encoding arrays at the byte-level introduces many redundant axioms that reduce the effectiveness of constraint solving, we propose type and interval aware axiom generation. Note that the type …

Top 100 Cited Publications In Physics Education In The Last Thirty Years: A Bibliometric Analysis, Nadi Suprapto, Binar K. Prahani, Utama A. Deta

Library Philosophy and Practice (e-journal)

The present study's focus is to analyze the top 100 cited papers (classic papers) in the field of physics education in the last thirty years. The study is aimed to provide insight into the citation pattern, authorship pattern, year, journals, countries of these classic papers with the help of bibliometric analysis. The data for the study was extracted from the Scopus database. The study indicated that among these top 100 papers maximum were in the form of research articles. The majority of these top-cited papers were published during the five years from 2012 to 2016. The average citation per paper …

Study Of Library Automation And Computing Skills Of Library Professionals In Goa, Prayangi V. Matonkar, Munesh Kumar

Library Philosophy and Practice (e-journal)

Computers have become an essential part of our daily lives. With computers' help, one can perform various tasks related to analysing, computing, and publishing tasks more efficiently. Software and computing software programs support library services in dealing with the users' needs and demands for knowledge. With the advent of advanced library software for automation and digital preservation of knowledge, libraries worldwide have transformed the services from manual to automated. There are various software and solutions available for reading and reference. This research work tries to various collect data and insights on automation, library professionals' skills in handling the computer technologies, …

Assessment Of Service Quality Of Libraries In Higher Educations: A Review, Kakali Sarmah, Dr. Sanjay Kumar Singh

Library Philosophy and Practice (e-journal)

This review article compiles literature on library service quality assessment both nationally and internationally, and discusses user perceptions of library service quality in the higher education context, including why library service quality research is necessary, how customer satisfaction and library service quality are linked, and how service quality in higher education is measured using SERVQUAL, LibQUAL+, etc., The gap, according to the research, is primarily due to variances in expected and perceived service quality. While all of the great work can contribute to and be supplemented by an effective planning process, a closer look at the sources of variances might …

Librarians’ Perception Of License Agreements Of Electronic Resources: A Study, Chitra Singh, Rekha Pai

Library Philosophy and Practice (e-journal)

With the introduction of license agreements, there is no more ownership of the electronic resources, but an access based or subscription-based approach to the electronic resources came into existence. In this recent time of license agreements, the library professionals should have some legal skills. They should know the use of various terms used in license agreements like clauses, tenure, user rights etc. so that they can negotiate and communicate better with publishers and vendors and cater to the needs of the patrons. This study aims to find out the knowledge, attitude, and perception of librarians on license agreements, and to …

Shea Pediatric Leadership Council Commentary: Supporting Well Child Care During The Coronavirus Disease 2019 (Covid-19) Pandemic With Personal Protective Equipment In The Ambulatory Setting, Joshua K Schaffzin, Allison H. Bartlett, Latania K. Logan, Judith A Guzman-Cottrill, Carolyn Caughell, Karen A. Ravin, Lorry G. Rubin, Larry K. Kociolek, Martha L. Muller, Jason Lake, Lynn Ramirez-Avila, Shea Pediatric Leadership Council

Pediatrics Research and Scholarship

No abstract provided.

Locating Herbarium Specimens In Online Digital Repositories To Be Used In Future Retrospective Analysis Of Metal Pollutants From Pre- And Post-1960s In The Most Polluted City In The United States, Chattanooga, Tennessee, Megon Stepaniuk

Masters Theses and Doctoral Dissertations

Here we find and analyze herbarium specimens collected throughout the last 100 years from the greater Chattanooga area to future screen them for the presence and concentration of metals. Chattanooga was declared the most polluted city in America in 1969 from the years 1961-1965 due to unchecked industrial emissions. Factories, railroads, coal furnaces, and iron making were only a few of many industrial operations releasing metal particulates and toxicants into the atmosphere. Metals can be deposited atop plant surfaces or soil when they find a sink there. Living plants have been used to assess metal pollution concentrations, though assessing historical …

Digital Twin Model Of Two-Arm Collaborative Robot For Human Arms Motion Simulation Using Reverse Engineering, Mohammad Aman Ullah Al Amin

Masters Theses and Doctoral Dissertations

This study proposes a digital twin (DT) model for a two-arm collaborative robot that can be deployed to simulate human arm motions using the reverse engineering process. A collaborative robot named ABB Yumi – IRB14000 was considered for this study. The purpose of the experiment was to find the best version of the digital twin model by applying translation and rotation constraints in every part of the CAD model of the robot. After adding features to the robot part files, Virtual Reality Modeling Language (VRML) format files were being created to assemble it in 3D world Editor for DT formation …

An Mpi-Based 2d Data Redistribution Library For Dense Arrays, Evelyn Namugwanya

Masters Theses and Doctoral Dissertations

In HPC, data redistributions (reorganizations) are used in parallel applications to improve performance and/or provide data-locality compatibility with sequences of parallel operations. Data reorganization refers to changing the logical and physical arrangement of data (such as dense arrays or matrices distributed over peer processes in a parallel program). This operation can be achieved by applying transformations such as transpositions or rotations or changing how data is mapped across the process grid P by Q, all of which are accomplished either with message passing or distributed shared memory operations. In this project, we restrict ourselves to a distributed memory model and …

Cognitive Gpr For Subsurface Sensing Based On Edge Computing And Deep Reinforcement Learning, Maxwell Omwenga

Masters Theses and Doctoral Dissertations

Ground penetrating radars (GPRs) have been extensively used in many industrial applications, such as coal mining, structural health monitoring, subsurface utilities detection and localization, and autonomous driving. Most of the existing GPR systems are human-operated due to the need for experience in operation configurations based on the interpretation of collected GPR data. To achieve the best subsurface sensing performance, it is desired to design an autonomous GPR system that can operate adaptively under varying sensing conditions. In this research, first, a generic architecture for cognitive GPRs based on edge computing is studied. The operation of cognitive GPRs under this architecture …

A Manufacturing-To-Response Pathway For Formed Carbon Fiber Reinforced Polymer Composite Structures, Madhura Limaye

All Theses

Over the past decade, there has been an increased adoption of thermoplastic and thermoset based continuous carbon fiber reinforced polymer (CFRP) composites for structural applications in several industries. Among the different manufacturing methods, thermoforming process for thermoplastic based continuous CFRP’s offer a major advantage in reducing cycle times for large scale productions. Similarly, out-of-autoclave curing process for thermoset based continuous CFRP’s using heated tooling enables production of large composite structures. However, these manufacturing processes can have a significant impact on the structural performance of parts by inducing undesirable effects. These effects include inhomogeneous fiber orientations, thickness variations, and residual stresses …

Dean's Research Newsletter, August 2021, Jerry L. Nadler

SOM Dean's Research Newsletter

No abstract provided.

Evaluation Of Two-Phase Anaerobic Digestion For Increased Sludge Handling Capacity And Energy Production At The F. Wayne Hill Water Resources Center, Julia Ann Funk

All Theses

Two-phase anaerobic digestion (AD) of municipal wastewater separates the hydrolytic-acidogenic phase from the methanogenic phase, resulting in optimization of the respective microbial communities, increased stability, shorter residence times, and increased methane production rates compared to conventional single-phase treatment. Anaerobic co-digestion of fats, oils, and grease (FOG) with municipal wastewater also offers the potential for increased methane production rates; however, FOG can lead to system upsets and overall digester failure if not managed properly. Anaerobic co-digestion in a two-phase system could offer the potential of alleviating many of these upsets, including more efficient conversion of long chain fatty acids (LCFAs) and …