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Dismountable And Non-Dismountable Spaces Via Proximity Space, Raghad Almohammed, L .A.A. Jabar Apr 2024

Dismountable And Non-Dismountable Spaces Via Proximity Space, Raghad Almohammed, L .A.A. Jabar

Baghdad Science Journal

Most problems studied by researchers were converted into mathematical formulas in the proximity space because this space is easily employed to solve the different problems of life. Therefore, the current study attempts to find a new property for proximity spaces using the proximity and cluster properties and linking them to obtain new cumulative points, it is called the Bushy Points and the set of all these points is the Bushy set. They form a coherent mathematical foundation for the topological formula that is looking for, which can be called dismountable space. If the space does not have this property, it …

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Techstreet Enterprise, Yuqi He Apr 2024

Techstreet Enterprise, Yuqi He

Faculty Research, Scholarly, and Creative Activity

Techstreet Enterprise is a subscription-based platform dedicated to industry codes and standards, offering users online access to complete standards documents in PDF format. Delving into its features and functionality, this review highlights Techstreet Enterprise’s content customization options, including the innovative Building Blocks feature. It also examines the platform’s variable pricing structure, interface, and competitive products and discusses the platform’s strengths and considerations. This review is intended to guide academic libraries in deciding whether to adopt Techstreet Enterprise as their standards resources. Overall, Techstreet Enterprise is an excellent resource for engineering standards access, and academic libraries are strongly encouraged to consider …

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Multi-Aspect Rule-Based Ai: Methods, Taxonomy, Challenges And Directions Towards Automation, Intelligence And Transparent Cybersecurity Modeling For Critical Infrastructures, Iqbal H. Sarker, Helge Janicke, Mohamed A. Ferrag, Alsharif Abuadbba Apr 2024

Multi-Aspect Rule-Based Ai: Methods, Taxonomy, Challenges And Directions Towards Automation, Intelligence And Transparent Cybersecurity Modeling For Critical Infrastructures, Iqbal H. Sarker, Helge Janicke, Mohamed A. Ferrag, Alsharif Abuadbba

Research outputs 2022 to 2026

Critical infrastructure (CI) typically refers to the essential physical and virtual systems, assets, and services that are vital for the functioning and well-being of a society, economy, or nation. However, the rapid proliferation and dynamism of today's cyber threats in digital environments may disrupt CI functionalities, which would have a debilitating impact on public safety, economic stability, and national security. This has led to much interest in effective cybersecurity solutions regarding automation and intelligent decision-making, where AI-based modeling is potentially significant. In this paper, we take into account “Rule-based AI” rather than other black-box solutions since model transparency, i.e., human …

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Matrix Profile Data Mining For Bgp Anomaly Detection, Ben A. Scott, Michael N. Johnstone, Patryk Szewczyk, Steven Richardson Apr 2024

Matrix Profile Data Mining For Bgp Anomaly Detection, Ben A. Scott, Michael N. Johnstone, Patryk Szewczyk, Steven Richardson

Research outputs 2022 to 2026

The Border Gateway Protocol (BGP), acting as the communication protocol that binds the Internet, remains vulnerable despite Internet security advancements. This is not surprising, as the Internet was not designed to be resilient to cyber-attacks, therefore the detection of anomalous activity was not of prime importance to the Internet creators. Detection of BGP anomalies can potentially provide network operators with an early warning system to focus on protecting networks, systems, and infrastructure from significant impact, improve security posture and resilience, while ultimately contributing to a secure global Internet environment. In this paper, we present a novel technique for the detection …

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Nonstationary Recharge Responses To A Drying Climate In The Gnangara Groundwater System, Western Australia, Simone Gelsinari, Sarah Bourke, James Mccallum, Don Mcfarlane, Joel Hall, Richard Silberstein, Sally Thompson Apr 2024

Nonstationary Recharge Responses To A Drying Climate In The Gnangara Groundwater System, Western Australia, Simone Gelsinari, Sarah Bourke, James Mccallum, Don Mcfarlane, Joel Hall, Richard Silberstein, Sally Thompson

Research outputs 2022 to 2026

The response of groundwater recharge to climate change needs to be understood to enable sustainable management of groundwater systems today and in the future, yet observations of recharge over long-enough time periods to reveal responses to climate trends are scarce. Here we present a meta-analysis of 60 years of recharge studies over the Gnangara Groundwater System of South-West Western Australia, covering a period of sustained drying consistent with climate change projections. The recharge process in the area is defined by a wet winter during which rain saturates a deep, highly permeable soil profile with very low water storage capacity. Measurements …

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Designing Pareto-Optimal Selection Systems For Multiple Minority Subgroups And Multiple Criteria, Wilfried De Corte, Paul R. Sackett, Filip Lievens Apr 2024

Designing Pareto-Optimal Selection Systems For Multiple Minority Subgroups And Multiple Criteria, Wilfried De Corte, Paul R. Sackett, Filip Lievens

Research Collection Lee Kong Chian School Of Business

Currently used Pareto-optimal (PO) approaches for balancing diversity and validity goals in selection can deal only with one minority group and one criterion. These are key limitations because the workplace and society at large are getting increasingly diverse and because selection system designers often have interest in multiple criteria. Therefore, the article extends existing methods for designing PO selection systems to situations involving multiple criteria and multiple minority groups (i.e., multiobjective PO selection systems). We first present a hybrid multiobjective PO approach for computing selection systems that are PO with respect to (a) a set of quality objectives (i.e., criteria) …

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Housing Markets Since Shapley And Scarf, Mustafa Oguz Afacan, Gaoji Hu, Jiangtao Li Apr 2024

Housing Markets Since Shapley And Scarf, Mustafa Oguz Afacan, Gaoji Hu, Jiangtao Li

Research Collection School Of Economics

Shapley and Scarf (1974) appeared in the first issue of the Journal of Mathematical Economics, and is one of the journal’s most impactful publications. As we approach the remarkable milestone of the journal’s 50th anniversary (1974–2024), this article serves as a commemorative exploration of Shapley and Scarf (1974) and the extensive body of literature that follows it.

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Optical Fiber Magnetic Field Detector, Aiden Tomov , '24, Paige Poteet , '24 Apr 2024

Optical Fiber Magnetic Field Detector, Aiden Tomov , '24, Paige Poteet , '24

Senior Theses, Projects, and Awards

This project demonstrates an optical approach to magnetic field detection. Operating as an adapted Mach-Zender interferometer, the apparatus begins by splitting an infrared beam of light into two separate paths, each with 50% of the overall power. These paths are segments of single-mode photonic crystal fiber (PCF) and are of equal lengths. One of the PCF paths has its air holes infused with EMG 700 ferrofluid which, by nature of ferrofluids, has a tunable refractive index (RI). The beams are recombined and shone into a power meter for analysis. When the ferrofluid-infused path encounters a magnetic field, the RI within …

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Topological Spaces Of Embodied Becoming: Queens, Queerness And (Infra)Structural Subterfuge In Singapore, Orlando Woods Apr 2024

Topological Spaces Of Embodied Becoming: Queens, Queerness And (Infra)Structural Subterfuge In Singapore, Orlando Woods

Research Collection College of Integrative Studies

This paper considers the political potential that emerges when theorizations of the body-as-infrastructure are brought into conversation with theorizations of topological space. It argues that the infrastructural body provides an interface through which structural norms can be destabilized, and the interrelationships between the state, society, and self can be reimagined. These ideas are illustrated through an empirical exploration of drag queens in Singapore. Singapore is a socially conservative Asian city-state in which heteronormative values are passed down by the state, reproduced through the family, and then used to structure societal under- standings of gender and sexuality. By interpreting Singapore’s hegemonic …

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Best Practices In Professional Learning Communities That Influence Teacher Self-Efficacy, Silian Molly Hornsby Apr 2024

Best Practices In Professional Learning Communities That Influence Teacher Self-Efficacy, Silian Molly Hornsby

Electronic Theses and Dissertations

This qualitative case study examined best practices in professional learning communities (PLCs) that influence teacher self-efficacy. Participants were primary and intermediate teachers and teacher leaders from a large suburban elementary school in Texas. Participants had to have at least 1 year of teaching and PLC experience. The semistructured teacher and teacher-leader interviews were recorded and transcribed in real time using Otter.ai software. After members checked the transcription, the transcription was uploaded into the NVivo software for coding and identifying common themes. The findings were separated into themes based on the study’s research questions. Research question 1 explored what teachers and …

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Community College Engineering Degree Partnerships With 4-Year Universities, Jeffrey Mark Stear Apr 2024

Community College Engineering Degree Partnerships With 4-Year Universities, Jeffrey Mark Stear

Electronic Theses and Dissertations

Increasing the number of STEM professionals and reducing inequities in STEM are national priorities. Community colleges are important to address these concerns because they represent a higher percentage of underrepresented minority (URM) and women students. However, students starting 4-year STEM degrees in community college have had a lower completion rate. Partnerships between community colleges and 4-year universities have the potential to improve success for community college students, but more research is necessary. The purpose of this ex post facto, quantitative, correlational study was to determine the relationships among participation in different types of partnerships between community colleges and 4-year universities, …

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Unlocking Potential: Analyzing The Impact Of Special Education Services On The Assessment Outcomes Of Students With Learning Disabilities, Kaitlyn Billops Apr 2024

Unlocking Potential: Analyzing The Impact Of Special Education Services On The Assessment Outcomes Of Students With Learning Disabilities, Kaitlyn Billops

Dissertations

Since the enactment of the Individuals with Disabilities Education Act (IDEA) in 2004, there has been a notable increase in the enrollment of students receiving special education services (National Center for Education Statistics [NCES], 2022). However, despite advancements in special education programming and service delivery, academic performance for students with disabilities still falls behind their general education peers, particularly on state summative assessments (Aron & Loprest, 2012). Disparities in academic achievement on these assessments can be attributed to various factors, including assessment practices, students' comfort levels during testing, and the severity of their disabilities. Assessing the efficacy of special education …

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Stealthy Backdoor Attack For Code Models, Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo Apr 2024

Stealthy Backdoor Attack For Code Models, Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo

Research Collection School Of Computing and Information Systems

Code models, such as CodeBERT and CodeT5, offer general-purpose representations of code and play a vital role in supporting downstream automated software engineering tasks. Most recently, code models were revealed to be vulnerable to backdoor attacks. A code model that is backdoor-attacked can behave normally on clean examples but will produce pre-defined malicious outputs on examples injected with that activate the backdoors. Existing backdoor attacks on code models use unstealthy and easy-to-detect triggers. This paper aims to investigate the vulnerability of code models with backdoor attacks. To this end, we propose A (dversarial eature as daptive Back). A achieves stealthiness …

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Editorial: Emerging On-Demand Passenger And Logistics Systems: Modelling, Optimization, And Data Analytics, Jintao Ke, Hai Wang, Neda Masoud, Maximilian Schiffer, Goncalo H. A. Correia Apr 2024

Editorial: Emerging On-Demand Passenger And Logistics Systems: Modelling, Optimization, And Data Analytics, Jintao Ke, Hai Wang, Neda Masoud, Maximilian Schiffer, Goncalo H. A. Correia

Research Collection School Of Computing and Information Systems

The proliferation of smart personal devices and mobile internet access has fueled numerous advancements in on-demand transportation services. These services are facilitated by online digital platforms and range from providing rides to delivering products. Their influence is transforming transportation systems and leaving a mark on changing individual mobility, activity patterns, and consumption behaviors. For instance, on-demand transportation companies such as Uber, Lyft, Grab, and DiDi have become increasingly vital for meeting urban transportation needs by connecting available drivers with passengers in real time. The recent surge in door-to-door food delivery (e.g., Uber Eats, DoorDash, Meituan); grocery delivery (e.g., Amazon Fresh, …

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Towards Low-Resource Rumor Detection: Unified Contrastive Transfer With Propagation Structure, Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng Apr 2024

Towards Low-Resource Rumor Detection: Unified Contrastive Transfer With Propagation Structure, Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng

Research Collection School Of Computing and Information Systems

The truth is significantly hampered by massive rumors that spread along with breaking news or popular topics. Since there is sufficient corpus gathered from the same domain for model training, existing rumor detection algorithms show promising performance on yesterday's news. However, due to a lack of substantial training data and prior expert knowledge, they are poor at spotting rumors concerning unforeseen events, especially those propagated in different languages (i.e., low-resource regimes). In this paper, we propose a simple yet effective framework with unified contrastive transfer learning, to detect rumors by adapting the features learned from well-resourced rumor data to that …

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Flgan: Gan-Based Unbiased Federated Learning Under Non-Iid Settings, Zhuoran Ma, Yang Liu, Yinbin Miao, Guowen Xu, Ximeng Liu, Jianfeng Ma, Robert H. Deng Apr 2024

Flgan: Gan-Based Unbiased Federated Learning Under Non-Iid Settings, Zhuoran Ma, Yang Liu, Yinbin Miao, Guowen Xu, Ximeng Liu, Jianfeng Ma, Robert H. Deng

Research Collection School Of Computing and Information Systems

Federated Learning (FL) suffers from low convergence and significant accuracy loss due to local biases caused by non-Independent and Identically Distributed (non-IID) data. To enhance the non-IID FL performance, a straightforward idea is to leverage the Generative Adversarial Network (GAN) to mitigate local biases using synthesized samples. Unfortunately, existing GAN-based solutions have inherent limitations, which do not support non-IID data and even compromise user privacy. To tackle the above issues, we propose a GAN-based unbiased FL scheme, called FlGan, to mitigate local biases using synthesized samples generated by GAN while preserving user-level privacy in the FL setting. Specifically, FlGan first …

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Teaching Software Development For Real-World Problems Using A Microservice-Based Collaborative Problem-Solving Approach, Yi Meng Lau, Christian Michael Koh, Lingxiao Jiang Apr 2024

Teaching Software Development For Real-World Problems Using A Microservice-Based Collaborative Problem-Solving Approach, Yi Meng Lau, Christian Michael Koh, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Experienced and skillful software developers are needed in organizations to develop software products effective for their business with shortened time-to-market. Such developers will not only need to code but also be able to work in teams and collaboratively solve real-world problems that organizations arefacing. It is challenging for educators to nurture students to become such developers with strong technical, social, and cognitive skills. Towards addressing the challenge, this study presents a Collaborative Software Development Project Framework for a course that focuses on learning microservices architectures anddeveloping a software application for a real-world business. Students get to work in teams to …

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W4-Groups: Modeling The Who, What, When And Where Of Group Behavior Via Mobility Sensing, Akansha Atrey, Camellia Zakaria, Rajesh Krishna Balan, Prashant Shenoy Apr 2024

W4-Groups: Modeling The Who, What, When And Where Of Group Behavior Via Mobility Sensing, Akansha Atrey, Camellia Zakaria, Rajesh Krishna Balan, Prashant Shenoy

Research Collection School Of Computing and Information Systems

Human social interactions occur in group settings of varying sizes and locations, depending on the type of social activity. The ability to distinguish group formations based on their purposes transforms how group detection mechanisms function. Not only should such tools support the effective detection of serendipitous encounters, but they can derive categories of relation types among users. Determining who is involved, what activity is performed, and when and where the activity occurs are critical to understanding group processes in greater depth, including supporting goal-oriented applications (e.g., performance, productivity, and mental health) that require sensing social factors. In this work, we …

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Encoding Version History Context For Better Code Representation, Huy Nguyen, Christoph Treude, Patanamon Thongtanunam Apr 2024

Encoding Version History Context For Better Code Representation, Huy Nguyen, Christoph Treude, Patanamon Thongtanunam

Research Collection School Of Computing and Information Systems

With the exponential growth of AI tools that generate source code, understanding software has become crucial. When developers comprehend a program, they may refer to additional contexts to look for information, e.g. program documentation or historical code versions. Therefore, we argue that encoding this additional contextual information could also benefit code representation for deep learning. Recent papers incorporate contextual data (e.g. call hierarchy) into vector representation to address program comprehension problems. This motivates further studies to explore additional contexts, such as version history, to enhance models' understanding of programs. That is, insights from version history enable recognition of patterns in …

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2024 April, Morehead State University. Office Of Communications & Marketing. Apr 2024

2024 April, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for April of 2024.

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Environmental, Social, And Governance (Esg) And Artificial Intelligence In Finance: State-Of-The-Art And Research Takeaways, Tristan Lim Apr 2024

Environmental, Social, And Governance (Esg) And Artificial Intelligence In Finance: State-Of-The-Art And Research Takeaways, Tristan Lim

Research Collection School Of Computing and Information Systems

The rapidly growing research landscape in finance, encompassing environmental, social, and governance (ESG) topics and associated Artificial Intelligence (AI) applications, presents challenges for both new researchers and seasoned practitioners. This study aims to systematically map the research area, identify knowledge gaps, and examine potential research areas for researchers and practitioners. The investigation focuses on three primary research questions: the main research themes concerning ESG and AI in finance, the evolution of research intensity and interest in these areas, and the application and evolution of AI techniques specifically in research studies within the ESG and AI in finance domain. Eight archetypical …

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Exploring The Potential Of Chatgpt In Automated Code Refinement: An Empirical Study, Qi Guo, Shangqing Liu, Junming Cao, Xiaohong Li, Xin Peng, Xiaofei Xie, Bihuan Chen Apr 2024

Exploring The Potential Of Chatgpt In Automated Code Refinement: An Empirical Study, Qi Guo, Shangqing Liu, Junming Cao, Xiaohong Li, Xin Peng, Xiaofei Xie, Bihuan Chen

Research Collection School Of Computing and Information Systems

Code review is an essential activity for ensuring the quality and maintainability of software projects. However, it is a time-consuming and often error-prone task that can significantly impact the development process. Recently, ChatGPT, a cutting-edge language model, has demonstrated impressive performance in various natural language processing tasks, suggesting its potential to automate code review processes. However, it is still unclear how well ChatGPT performs in code review tasks. To fill this gap, in this paper, we conduct the first empirical study to understand the capabilities of ChatGPT in code review tasks, specifically focusing on automated code refinement based on given …

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My Github Sponsors Profile Is Live!": Investigating The Impact Of Twitter/X Mentions On Github Sponsors, Youmei Fan, Tao Xiao, Hideaki Hata, Christoph Treude, Kenichi Matsumoto Apr 2024

My Github Sponsors Profile Is Live!": Investigating The Impact Of Twitter/X Mentions On Github Sponsors, Youmei Fan, Tao Xiao, Hideaki Hata, Christoph Treude, Kenichi Matsumoto

Research Collection School Of Computing and Information Systems

GitHub Sponsors was launched in 2019, enabling donations to opensource software developers to provide financial support, as per GitHub’s slogan: “Invest in the projects you depend on”. However, a 2022 study on GitHub Sponsors found that only two-fifths of developers who were seeking sponsorship received a donation. The study found that, other than internal actions (such as offering perks to sponsors), developers had advertised their GitHub Sponsors profiles on social media, such as Twitter (also known as X). Therefore, in this work, we investigate the impact of tweets that contain links to GitHub Sponsors profiles on sponsorship, as well as …

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Impact Of Government Outsourcing Contracts On High-Tech Vendors: An Empirical Study, Yi Dong, Nan Hu, Yonghua Ji, Chenkai Ni, Jing Xie Apr 2024

Impact Of Government Outsourcing Contracts On High-Tech Vendors: An Empirical Study, Yi Dong, Nan Hu, Yonghua Ji, Chenkai Ni, Jing Xie

Research Collection School Of Computing and Information Systems

Outsourcing is an important strategic decision of high-tech firms. However, while the research has extensively studied the implications of outsourcing to high-tech clients, its impact on high-tech vendors remains underexplored. This study empirically estimates the impact of government outsourcing contracts on high-tech vendors. Employing the earnings-return analyses framework, we find that, for high-tech vendors engaged in government outsourcing contracts, the stock market places a higher value on each unit of unexpected earnings compared to other firms. Additionally, this impact becomes stronger for contracts with longer terms, for contracts outsourced by the U.S. government or by countries with better political and …

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Test Optimization In Dnn Testing: A Survey, Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon Apr 2024

Test Optimization In Dnn Testing: A Survey, Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon

Research Collection School Of Computing and Information Systems

This article presents a comprehensive survey on test optimization in deep neural network (DNN) testing. Here, test optimization refers to testing with low data labeling effort. We analyzed 90 papers, including 43 from the software engineering (SE) community, 32 from the machine learning (ML) community, and 15 from other communities. Our study: (i) unifies the problems as well as terminologies associated with low-labeling cost testing, (ii) compares the distinct focal points of SE and ML communities, and (iii) reveals the pitfalls in existing literature. Furthermore, we highlight the research opportunities in this domain.

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Unveiling Memorization In Code Models, Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, Donggyun Han, David Lo Apr 2024

Unveiling Memorization In Code Models, Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, Donggyun Han, David Lo

Research Collection School Of Computing and Information Systems

The availability of large-scale datasets, advanced architectures, and powerful computational resources have led to effective code models that automate diverse software engineering activities. The datasets usually consist of billions of lines of code from both open-source and private repositories. A code model memorizes and produces source code verbatim, which potentially contains vulnerabilities, sensitive information, or code with strict licenses, leading to potential security and privacy issues.This paper investigates an important problem: to what extent do code models memorize their training data? We conduct an empirical study to explore memorization in large pre-trained code models. Our study highlights that simply extracting …

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Experts-Driven Design: A Framework For Measuring Social Influence In Online Social Networks, Shyamala N. Chalakudi, Dildar Hussain Dr., Gnana Bharathy Dr, Dakshinamurthy Kolluru Dr Apr 2024

Experts-Driven Design: A Framework For Measuring Social Influence In Online Social Networks, Shyamala N. Chalakudi, Dildar Hussain Dr., Gnana Bharathy Dr, Dakshinamurthy Kolluru Dr

AMTP Proceedings 2024

In our interconnected and ever-changing social landscape, influence is pivotal in molding individuals’ decisions, perspectives, and behaviors. Measuring Social Influence (SI) in Online Social Networks (OSNs) faces significant gaps, notably needing more integration with human behaviors. Our literature review has unveiled twelve psychological theories rooted in human behavior that are fundamental for assessing SI in OSNs. We have further elucidated how human behaviors interact in shaping the influence potential of social media users through exploratory interviews with experts from consulting, industry, and academia. Our study culminated in developing a novel framework designed to encompass the intricacies that not only nurture …

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The A-B Gap: An Assessment Of The Differences Between Ethical Attitudes And Ethical Behaviour Among The Next Generation Of Business Leaders In South Africa, Christo Bisschoff, Sam Fullerton Apr 2024

The A-B Gap: An Assessment Of The Differences Between Ethical Attitudes And Ethical Behaviour Among The Next Generation Of Business Leaders In South Africa, Christo Bisschoff, Sam Fullerton

AMTP Proceedings 2024

The current study scrutinizes differences between the ethical attitudes and behaviour of South Africa’s future generation of business leaders. The target population comprises first-level employed business managers who are currently completing an executive MBA degree. Business managers at three selected South African business schools comprised the sampling frame. Each member of the target population received an online link for access to a questionnaire which featured a previously validated series of balanced 6-point itemized rating scales. Data were collected on both behaviour and attitudes regarding 14 questionable business behaviours, each representing a potential breach of ethical conduct. A 60% response rate …

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Does The Use Of Media And Other Information Sources Cause The Perceived Experience Of Climate Change Or Is It The Other Way Around?, Sonny Rosenthal, Pengya Ai Apr 2024

Does The Use Of Media And Other Information Sources Cause The Perceived Experience Of Climate Change Or Is It The Other Way Around?, Sonny Rosenthal, Pengya Ai

Research Collection College of Integrative Studies

The perceived experience of climate change can be an important motivator of individual climate action. Recent scholarship argued that the use of media and other information sources is a basis of perceived experience. The current study analyzed a cross-lagged panel model to know if the use of information causes perceived experience or vice versa. Analysis of longitudinal data from a sample of Singapore residents (N = 466) showed that the use of traditional media, but not social media or interpersonal sources, explained change in perceived experience. In contrast, perceived experience explained change in the use of traditional media and interpersonal …

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Evaluation Of Modulus Of Elasticity Of Concrete Containing Both Natural And Recycled Concrete Aggregates, Zaiwei Li, Long Yuan Li, Shanshan Cheng Apr 2024

Evaluation Of Modulus Of Elasticity Of Concrete Containing Both Natural And Recycled Concrete Aggregates, Zaiwei Li, Long Yuan Li, Shanshan Cheng

School of Engineering, Computing and Mathematics

There is growing requirement to use recycled aggregate in concrete to demote industrial wastes produced by construction sectors. Thus, to develop simple but meaningful formulations to assess the mechanical properties of concrete, when it is mixed with both natural and recycled aggregates, becomes essential. In the present study an analytical approach to calculate the elastic modulus of concrete containing both natural and recycled concrete aggregates is proposed. The approach is developed on the concept of effective medium approximation but considering the effect of Poisson's ratio. Two analytical formulas are derived. One is for the two-phase concrete (mortar and aggregate) that …

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