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2024

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Direct Blue 86 Textile Dye Removal From Aqueous Solution Using Rice Husk-Based Adsorbent, M. Zulbahari M. Zua, Muhammad Raza Ul Mustafa, Mohamed Hasnain Isa, Teh Sabariah Binti Abd Manan, Naimah Ibrahim, Rozeana Hj Md Juani, Wida Susanty Hj Suhaili, Asmaal Muizz Sallehhin Bin Hj Mohammad Sultan, Zuliana Binti Hj Nayan Jan 2024

Direct Blue 86 Textile Dye Removal From Aqueous Solution Using Rice Husk-Based Adsorbent, M. Zulbahari M. Zua, Muhammad Raza Ul Mustafa, Mohamed Hasnain Isa, Teh Sabariah Binti Abd Manan, Naimah Ibrahim, Rozeana Hj Md Juani, Wida Susanty Hj Suhaili, Asmaal Muizz Sallehhin Bin Hj Mohammad Sultan, Zuliana Binti Hj Nayan

ASEAN Journal on Science and Technology for Development

Adsorption by activated carbon is an effective method of dye removal. However, due to high production and regeneration costs of activated carbon, various studies on low-cost adsorbents have been conducted. Agricultural waste such as rice husk (RH) is seen to be a good adsorbent for dye removal. Moreover, rice husk is readily available. In this study, rice husk-based adsorbents were prepared by chemical and thermal treatments. Standard curve (colour vs absorbance) for Direct Blue 86 (DB 86) was prepared to determine the concentration of dye before and after adsorption. The adsorption potential of the adsorbent for textile dye DB 86 …

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Thriving In Turbulent Times: The Dynamic Link Between Economic Condition And Fintech Business Lending Success, Nur ‘Asyiqin Ramdhan, Imbarine Bujang, Amirul Afif Muhamat, Ninuk Dewi Kesumaningrum Jan 2024

Thriving In Turbulent Times: The Dynamic Link Between Economic Condition And Fintech Business Lending Success, Nur ‘Asyiqin Ramdhan, Imbarine Bujang, Amirul Afif Muhamat, Ninuk Dewi Kesumaningrum

ASEAN Journal on Science and Technology for Development

This study aimed to understand how FinTech business lending was affected by the pandemic crisis, which caused small businesses to struggle with limited access to funds. During this crisis, demand for alternative financing, like peer-to-peer (P2P) lending, surged. However, P2P lending faces challenges related to information imbalances, especially during crises, when transparency and economic conditions impact investor decisions in Malaysia. We examined factors like platform interest rates, loan duration, investment size, bank lending rates (BLR), inflation, and the crisis using ARDL analysis. Our long-term analysis revealed a significant positive relationship between investment size and P2P lending, while economic conditions had …

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The Conceptual Review On The Effect Of Corporate Governance Monitoring Mechanisms On Tax Avoidance, Eveana Mosuin, Nor Balkish Zakaria, Yvonne Joseph Ason Jan 2024

The Conceptual Review On The Effect Of Corporate Governance Monitoring Mechanisms On Tax Avoidance, Eveana Mosuin, Nor Balkish Zakaria, Yvonne Joseph Ason

ASEAN Journal on Science and Technology for Development

Taxes are the primary source of revenue for many nations in order to increase budget revenues and fund national development. Taxation serves multiple purposes because it can positively impact a nation's investment, education, social and economic development. However, tax authorities require assistance with the issue of tax non-compliance, which impedes tax administration and collection. One of the categories of tax non-compliance is tax avoidance, which is one of the company's strategies for legally reducing its tax burden by exploiting loopholes in tax regulations to minimise tax liability. Tax avoidance is when a company follows a particular tax strategy in the …

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A Gold Mine: The Importance Of Information And Communication Technology (Ict) On Bank Liquidity In Asia And The Pacific, Sarmila Udin, Imbarine Bujang, Nancy Chiuh Noemi Jan 2024

A Gold Mine: The Importance Of Information And Communication Technology (Ict) On Bank Liquidity In Asia And The Pacific, Sarmila Udin, Imbarine Bujang, Nancy Chiuh Noemi

ASEAN Journal on Science and Technology for Development

Financial systems are the entities in charge of promoting, growing, and enhancing economic growth and development. To be viable in the market, financial institutions must maintain enough liquid assets to meet any unforeseen demand from customers at any time needed. Currently, banks are pursuing cutting-edge technologies to survive and thrive in an ever-changing market environment. This paper aims to examine the relationship between information and communication technology (ICT), macroeconomics and bank liquidity risk in Asia and the Pacific. The research took place between 2012 and 2018 and the nations were chosen based on data availability; as a result, the sample …

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Interest Rate Mismatches In Indian Banking: Causes, Strategies, And Implications, Baba Gnanakumar P, M.K. Baby, Ulaganathan Subramanian Jan 2024

Interest Rate Mismatches In Indian Banking: Causes, Strategies, And Implications, Baba Gnanakumar P, M.K. Baby, Ulaganathan Subramanian

ASEAN Journal on Science and Technology for Development

Despite the global trend of rising interest rates, India's Reserve Bank (RBI) has adopted a unique approach, emphasizing a rate pause and a solid anti-inflation stance. This unconventional strategy has sometimes led to periods of credit expansion, even during monetary tightening measures implemented by the RBI. One significant consequence of these policies is the widening gap between deposit and lending rates within the Indian banking sector. This research study aims to comprehensively analyze the implications of interest rate mismatches among Indian banks in this context. Specifically, the investigation focuses on the challenges posed by deposit and lending rate mismatches and …

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Debunking Indian Neo-Banks' Customer Effort Score And Esg Values, Baba Gnanakumar P, Ulaganathan Subramanian, M.K. Baby Jan 2024

Debunking Indian Neo-Banks' Customer Effort Score And Esg Values, Baba Gnanakumar P, Ulaganathan Subramanian, M.K. Baby

ASEAN Journal on Science and Technology for Development

Neo-banks in India are harnessing data analytics to address ESG risks, collaborating with various stakeholders, and striving to promote ESG values. Their endeavours not only enhance the customer experience but also contribute to a more sustainable and ethical financial system, with the potential to reduce the carbon footprint as digital banking gains traction in India. We examine whether ESG-rated banks can diminish customer effort and improve the overall customer experience, ultimately encouraging greater participation in sustainable financial practices. We employ text mining to analyse 2156 reviews of ESG-rated banks' digital services, from which we derive the Customer Effort Score. We …

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Social Media Marketing Audiences And Adaptive Behavior In Brunei: Sem Analysis Using Smartpls, Shahid Anjum, Asmah Ahmad, Jefri Basiuni, Najeeba Tazeen Jan 2024

Social Media Marketing Audiences And Adaptive Behavior In Brunei: Sem Analysis Using Smartpls, Shahid Anjum, Asmah Ahmad, Jefri Basiuni, Najeeba Tazeen

ASEAN Journal on Science and Technology for Development

The social media and Internet technology penetrations and usage are quite high in Brunei Darussalam. The use of social media marketing among micro, small, and relatively medium businesses to promote their products has also grown as businesses desire to engage and build relationships with customers through social media. This has generated an interest in studying the adaption of social media marketing campaigns among customers, which indirectly determines the effectiveness of social media marketing itself, as well as in studying the facilitation factors for such an adaption. Technology Acceptance Model (TAM) has been used extensively because of its simplicity and usefulness. …

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The Contribution Of Outcome Expectation In Water Saving Among Malaysians For Sustainable Living Standard, Ganesh. R, Vxynette Fiorna, Ammar Abdulaziz Al-Talib, Haslinda. A, Elango Natarajan Jan 2024

The Contribution Of Outcome Expectation In Water Saving Among Malaysians For Sustainable Living Standard, Ganesh. R, Vxynette Fiorna, Ammar Abdulaziz Al-Talib, Haslinda. A, Elango Natarajan

ASEAN Journal on Science and Technology for Development

Saving water is an essential component of a higher level of living for each individual in any Nation. The current and next generation will be greatly impacted by attitudes and emotional aspects of social cognitive behaviour. This empirical investigation was carried out in Malaysia. To determine their attitude and behaviour, a convenience sampling method was applied to a sample size of 265 individuals. It was discovered that outcome expectancy significantly improves water saving. Observed self-efficacy, personal elements, and environmental elements all impacted the outcome expectancy. The model evaluation showed that the adjusted R2 was 0.78, or about 78% of the …

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Borrower Discouragement And Gender-Based Discrimination In The Credit Market: Firm-Level Evidence From Southeast Asian Countries, Safi Ullah Khanl, Nurshamimi Binti Abdul Samat Jan 2024

Borrower Discouragement And Gender-Based Discrimination In The Credit Market: Firm-Level Evidence From Southeast Asian Countries, Safi Ullah Khanl, Nurshamimi Binti Abdul Samat

ASEAN Journal on Science and Technology for Development

Access to finance for small and medium-sized enterprises (SMEs) is an important theme in the finance literature, as well as an important policy concern given that SMEs are considered the backbone of an economy, job creation, and economic growth. Bank discouragement be-havior, where an entrepreneur or a firm manager is discouraged from applying for bank credit out of fear of loan application rejection, constitutes an important segment of small business financing and has long-term consequences for SMEs survival, profitability, and growth. Em-pirical studies on bank discouragement behavior have mainly been conducted in developed markets, with little empirical evidence on the …

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Quantifying The Competitiveness Of A Dataset In Relation To General Preferences, Kyriakos Mouratidis, Keming Li, Bo Tang Jan 2024

Quantifying The Competitiveness Of A Dataset In Relation To General Preferences, Kyriakos Mouratidis, Keming Li, Bo Tang

Research Collection School Of Computing and Information Systems

Typically, a specific market (e.g., of hotels, restaurants, laptops, etc.) is represented as a multi-attribute dataset of the available products. The topic of identifying and shortlisting the products of most interest to a user has been well-explored. In contrast, in this work we focus on the dataset, and aim to assess its competitiveness with regard to different possible preferences. We define measures of competitiveness, and represent them in the form of a heat-map in the domain of preferences. Our work finds application in market analysis and in business development. These applications are further enhanced when the competitiveness heat-map is used …

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Big Code Search: A Bibliography, Kisub Kim, Sankalp Ghatpande, Dongsun Kim, Xin Zhou, Kui Liu, Tegawende F. Bissyande, Jacques Klein, Traon Yves Le Jan 2024

Big Code Search: A Bibliography, Kisub Kim, Sankalp Ghatpande, Dongsun Kim, Xin Zhou, Kui Liu, Tegawende F. Bissyande, Jacques Klein, Traon Yves Le

Research Collection School Of Computing and Information Systems

Code search is an essential task in software development. Developers often search the internet and other code databases for necessary source code snippets to ease the development efforts. Code search techniques also help learn programming as novice programmers or students can quickly retrieve (hopefully good) examples already used in actual software projects. Given the recurrence of the code search activity in software development, there is an increasing interest in the research community. To improve the code search experience, the research community suggests many code search tools and techniques. These tools and techniques leverage several different ideas and claim a better …

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Glance To Count: Learning To Rank With Anchors For Weakly-Supervised Crowd Counting, Zheng Xiong, Liangyu Chai, Wenxi Liu, Yongtuo Liu, Sucheng Ren, Shengfeng He Jan 2024

Glance To Count: Learning To Rank With Anchors For Weakly-Supervised Crowd Counting, Zheng Xiong, Liangyu Chai, Wenxi Liu, Yongtuo Liu, Sucheng Ren, Shengfeng He

Research Collection School Of Computing and Information Systems

Crowd image is arguably one of the most laborious data to annotate. In this paper, we devote to reduce the massive demand of densely labeled crowd data, and propose a novel weakly-supervised setting, in which we leverage the binary ranking of two images with highcontrast crowd counts as training guidance. To enable training under this new setting, we convert the crowd count regression problem to a ranking potential prediction problem. In particular, we tailor a Siamese Ranking Network that predicts the potential scores of two images indicating the ordering of the counts. Hence, the ultimate goal is to assign appropriate …

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Cooperative Trucks And Drones For Rural Last-Mile Delivery With Steep Roads, Jiuhong Xiao, Ying Li, Zhiguang Cao, Jianhua Xiao Jan 2024

Cooperative Trucks And Drones For Rural Last-Mile Delivery With Steep Roads, Jiuhong Xiao, Ying Li, Zhiguang Cao, Jianhua Xiao

Research Collection School Of Computing and Information Systems

The cooperative delivery of trucks and drones promises considerable advantages in delivery efficiency and environmental friendliness over pure fossil fuel fleets. As the prosperity of rural B2C e-commerce grows, this study intends to explore the prospect of this cooperation mode for rural last-mile delivery by developing a green vehicle routing problem with drones that considers the presence of steep roads (GVRPD-SR). Realistic energy consumption calculations for trucks and drones that both consider the impacts of general factors and steep roads are incorporated into the GVRPD-SR model, and the objective is to minimize the total energy consumption. To solve the proposed …

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Enabling Ai And Robotic Coaches For Physical Rehabilitation Therapy: Iterative Design And Evaluation With Therapists And Post-Stroke Survivors, Min Hun Lee, Daniel Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez I Badia Jan 2024

Enabling Ai And Robotic Coaches For Physical Rehabilitation Therapy: Iterative Design And Evaluation With Therapists And Post-Stroke Survivors, Min Hun Lee, Daniel Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez I Badia

Research Collection School Of Computing and Information Systems

Artificial intelligence (AI) and robotic coaches promise the improved engagement of patients on rehabilitation exercises through social interaction. While previous work explored the potential of automatically monitoring exercises for AI and robotic coaches, the deployment of these systems remains a challenge. Previous work described the lack of involving stakeholders to design such functionalities as one of the major causes. In this paper, we present our efforts on eliciting the detailed design specifications on how AI and robotic coaches could interact with and guide patient’s exercises in an effective and acceptable way with four therapists and five post-stroke survivors. Through iterative …

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Wmu Roundtable On Port Energy Transition And Stakeholders Engagement, Aykut Ölçer, Fabio Ballini, Alessandro Schönborn, Monica Canepa, Anas Alamoush, Peyman Ghaforian, Natalia Calderón Jan 2024

Wmu Roundtable On Port Energy Transition And Stakeholders Engagement, Aykut Ölçer, Fabio Ballini, Alessandro Schönborn, Monica Canepa, Anas Alamoush, Peyman Ghaforian, Natalia Calderón

Marener Reports

Shipping is the backbone of international trade. With a contribution of more than 80 per cent of cargo by volume and 70 per cent by value, it is the most efficient mode of transportation. The vital cargo it transports includes medical supplies and equipment, as well as food, energy, raw materials, and manufactured goods. At the same time, shipping contributes to approximately 3 per cent of the world’s greenhouse gas emissions, a figure that is expected to rise if no action is taken to reduce emissions. The 2023 International Maritime Organization Strategy on Reduction of Greenhouse Gas Emissions sets out …

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Efficient Privacy-Preserving Spatial Data Query In Cloud Computing, Yinbin Miao, Yutao Yang, Xinghua Li, Linfeng Wei, Zhiquan Liu, Robert H. Deng Jan 2024

Efficient Privacy-Preserving Spatial Data Query In Cloud Computing, Yinbin Miao, Yutao Yang, Xinghua Li, Linfeng Wei, Zhiquan Liu, Robert H. Deng

Research Collection School Of Computing and Information Systems

With the rapid development of geographic location technology and the explosive growth of data, a large amount of spatial data is outsourced to the cloud server for reducing the local high storage and computing burdens, but at the same time causes security issues. Thus, extensive privacy-preserving spatial data query schemes have been proposed. Most of the existing schemes use Asymmetric Scalar-Product-Preserving Encryption (ASPE) to encrypt data, but ASPE has proven to be insecure against known plaintext attack. And the existing schemes require users to provide more information about query range and thus generate a large amount of ciphertexts, which causes …

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Continual Learning, Fast And Slow, Quang Anh Pham, Chenghao Liu, Steven C. H. Hoi Jan 2024

Continual Learning, Fast And Slow, Quang Anh Pham, Chenghao Liu, Steven C. H. Hoi

Research Collection School Of Computing and Information Systems

According to the Complementary Learning Systems (CLS) theory (McClelland et al. 1995) in neuroscience, humans do effective continual learning through two complementary systems: a fast learning system centered on the hippocampus for rapid learning of the specifics, individual experiences; and a slow learning system located in the neocortex for the gradual acquisition of structured knowledge about the environment. Motivated by this theory, we propose DualNets (for Dual Networks), a general continual learning framework comprising a fast learning system for supervised learning of pattern-separated representation from specific tasks and a slow learning system for representation learning of task-agnostic general representation via …

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Conversational Localization: Indoor Human Localization Through Intelligent Conversation, Sheshadri Smitha, Kotaro Hara Jan 2024

Conversational Localization: Indoor Human Localization Through Intelligent Conversation, Sheshadri Smitha, Kotaro Hara

Research Collection School Of Computing and Information Systems

We propose a novel sensorless approach to indoor localization by leveraging natural language conversations with users, which we call conversational localization. To show the feasibility of conversational localization, we develop a proof-of-concept system that guides users to describe their surroundings in a chat and estimates their position based on the information they provide. We devised a modular architecture for our system with four modules. First, we construct an entity database with available image-based floor maps. Second, we enable the dynamic identification and scoring of information provided by users through our utterance processing module. Then, we implement a conversational agent that …

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Conceptthread: Visualizing Threaded Concepts In Mooc Videos, Zhiguang Zhou, Li Ye, Lihong Cai, Lei Wang, Yigang Wang, Yongheng Wang, Wei Chen, Yong Wang Jan 2024

Conceptthread: Visualizing Threaded Concepts In Mooc Videos, Zhiguang Zhou, Li Ye, Lihong Cai, Lei Wang, Yigang Wang, Yongheng Wang, Wei Chen, Yong Wang

Research Collection School Of Computing and Information Systems

Massive Open Online Courses (MOOCs) platforms are becoming increasingly popular in recent years. Online learners need to watch the whole course video on MOOC platforms to learn the underlying new knowledge, which is often tedious and time-consuming due to the lack of a quick overview of the covered knowledge and their structures. In this paper, we propose ConceptThread , a visual analytics approach to effectively show the concepts and the relations among them to facilitate effective online learning. Specifically, given that the majority of MOOC videos contain slides, we first leverage video processing and speech analysis techniques, including shot recognition, …

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Active Code Learning: Benchmarking Sample-Efficient Training Of Code Models, Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon Jan 2024

Active Code Learning: Benchmarking Sample-Efficient Training Of Code Models, Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon

Research Collection School Of Computing and Information Systems

The costly human effort required to prepare the training data of machine learning (ML) models hinders their practical development and usage in software engineering (ML4Code), especially for those with limited budgets. Therefore, efficiently training models of code with less human effort has become an emergent problem. Active learning is such a technique to address this issue that allows developers to train a model with reduced data while producing models with desired performance, which has been well studied in computer vision and natural language processing domains. Unfortunately, there is no such work that explores the effectiveness of active learning for code …

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Soci+: An Enhanced Toolkit For Secure Outsourced Computation On Integers, Bowen Zhao, Weiquan Deng, Xiaoguo Li, Ximeng Liu, Qingqi Pei, Robert H. Deng Jan 2024

Soci+: An Enhanced Toolkit For Secure Outsourced Computation On Integers, Bowen Zhao, Weiquan Deng, Xiaoguo Li, Ximeng Liu, Qingqi Pei, Robert H. Deng

Research Collection School Of Computing and Information Systems

Secure outsourced computation is critical for cloud computing to safeguard data confidentiality and ensure data usability. Recently, secure outsourced computation schemes following a twin-server architecture based on partially homomorphic cryptosystems have received increasing attention. The Secure Outsourced Computation on Integers (SOCI) [1] toolkit is the state-of-the-art among these schemes which can perform secure computation on integers without requiring the costly bootstrapping operation as in fully homomorphic encryption; however, SOCI suffers from relatively large computation and communication overhead. In this paper, we propose SOCI+ which significantly improves the performance of SOCI. Specifically, SOCI+ employs a novel (2,2)-threshold Paillier cryptosystem with fast …

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A Unified Framework For Contextual And Factoid Question Generation, Chenhe Dong, Ying Shen, Shiyang Lin, Zhenzhou Lin, Yang Deng Jan 2024

A Unified Framework For Contextual And Factoid Question Generation, Chenhe Dong, Ying Shen, Shiyang Lin, Zhenzhou Lin, Yang Deng

Research Collection School Of Computing and Information Systems

Question generation (QG) aims to automatically generate fluent and relevant questions, where the two most mainstream directions are generating questions from unstructured contextual texts (CQG), such as news articles, and generating questions from structured factoid texts (FQG), such as knowledge graphs or tables. Existing methods for these two tasks mainly face challenges of limited internal structural information as well as scarce background information, while these two tasks can benefit each other for alleviating these issues. For example, when meeting the entity mention “United Kingdom” in CQG, it can be inferred that it is a country in European continent based on …

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Demonstrating Canvas-Based Processing Of Multiple Camera Streams At The Edge, Ila Gokarn, Hemanth Sabbella, Yigong Hu, Tarek Abdelzaher, Archan Misra Jan 2024

Demonstrating Canvas-Based Processing Of Multiple Camera Streams At The Edge, Ila Gokarn, Hemanth Sabbella, Yigong Hu, Tarek Abdelzaher, Archan Misra

Research Collection School Of Computing and Information Systems

We demonstrate criticality-aware canvas-based processing of multiple concurrent camera streams at the resource constrained edge to show substantial improvement in the accuracy-throughput trade-off. The proposed system focuses the available computation resources on select Regions of Interest (RoI) across all the camera streams by (i) extracting RoI from the input camera stream (ii) 2D bin packing the RoI on a canvas frame and (iii) batching and inferring upon these constructed composite canvas frames with a YOLOv5 object detection model. Our experiments show that such canvas-based processing can (i) sustain real-time processing throughput of 23 FPS per camera across 6 concurrent input …

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Educational Technologies And Assessment Practices: Evolution And Emerging Research Gaps, Lim Ming Soon Tristan, Gottipati Swapna, Michelle L. F. Cheong Jan 2024

Educational Technologies And Assessment Practices: Evolution And Emerging Research Gaps, Lim Ming Soon Tristan, Gottipati Swapna, Michelle L. F. Cheong

Research Collection School Of Computing and Information Systems

This chapter examines the integration and trajectory of ubiquitous, adaptive, and immersive technologies in educational assessments, based upon qualitative predictions from Horizon Report and quantitative bibliometric analysis. Through network analysis, the authors identified key educational technological trends and their interconnectedness within the academic domain. These findings underscored the ascendance of adaptive assessments for personalized real-time feedback, the role of virtual immersive assessments adding layers of complexity, variability, and adaptability that a physical environment might not offer, and the pervasive reach of ubiquitous assessments in crafting contextually anchored evaluations. Grounded in pedagogical underpinnings, the chapter presents pressing research gaps, theoretical and …

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Societal Impacts Of Artificial Intelligence: Ethics, Legal, And Governance Issues, Yuzhou Qian, Keng Siau, Fiona Fui-Hoon Nah Jan 2024

Societal Impacts Of Artificial Intelligence: Ethics, Legal, And Governance Issues, Yuzhou Qian, Keng Siau, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

Artificial intelligence (AI) is quickly changing the way we work and the way we live. The emergence of ChatGPT has thrust AI, especially Generative AI, into the spotlight. The societal impact of AI is on most people's minds. This article presents several research projects on how AI impacts work and society. Three research works are discussed in this article. The first study develops a theoretical framework structuring the legal and ethical objectives that are needed and the means to achieve them. The second study concentrates on bias and discrimination issues embedded in AI applications. It focuses on enhancing the collaboration …

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Investigating Drought Response And Paleoclimate Potential Of A New Network Of White Oak Chronologies In Western Kentucky, Usa, Audrey J. Heichelbech, Maegen L. Rochner, Megan Gibson Jan 2024

Investigating Drought Response And Paleoclimate Potential Of A New Network Of White Oak Chronologies In Western Kentucky, Usa, Audrey J. Heichelbech, Maegen L. Rochner, Megan Gibson

Undergraduate Research Events

In Kentucky, historic and paleo-climate data are limited, and current understanding of long-term climate change in the state relies on instrumental data spanning only 1895-present. Proxy data are necessary to extend the temporal and spatial span of climate information. One potential proxy source for Kentucky is tree ring data, but currently, only four such datasets are publicly available on the International Tree Ring Data Bank (ITRDB). Archaeological and archival timber sources may help to fill in this gap. In the 1940s, Florence Hawley-Ellis, the first woman dendrochronologist, collected samples of white oak (Quercus alba L.) from four counties in western …

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Characterizing Leaf Endophyte Composition In The Dune Grass Ammophila Breviligulata, Nabaa Majeed, Sarah Hobbs, Sarah Emery, Connor Morozumi, Natalie Christian Jan 2024

Characterizing Leaf Endophyte Composition In The Dune Grass Ammophila Breviligulata, Nabaa Majeed, Sarah Hobbs, Sarah Emery, Connor Morozumi, Natalie Christian

Undergraduate Research Events

Microorganisms living within plants play crucial roles in their health and function, yet these diverse communities that make up the plant microbiome remain poorly understood. The dune grass Ammophila breviligulata. is an ecosystem engineer which helps to build and stabilize dune ecosystems effectively acting as a buffer against storms to coastal communities. It is currently unknown whether the Ammophila microbiome plays a role in this plant species’ ability to transform dune ecosystems.. In this study, we assessed fungal diversity of endophytes—microbes living within plant tissues— in Ammophila leaves collected from Leelanau State Park, MI along the eastern shores of Lake …

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Latine Psychology Specialty Program Development, Leeza Rojas Jan 2024

Latine Psychology Specialty Program Development, Leeza Rojas

Graduate School of Professional Psychology: Doctoral Papers and Masters Projects

According to the 2020 United States Census, the Latine community is the second largest ethnic represents 18.9% of the total United States population and is expected to grow to 28% by the year 2060 (U.S. Census Bureau, 2018). Despite this, the Latine community continues to be underserved and often underutilize behavioral health services (Blanco et al., 2007). For this reason, it is imperative that psychologists and other behavioral health providers have specialized training to best meet the community’s needs. The current literature fails to explore how Latine psychology concentrations are curated to train and inform future clinicians. This study examined …

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An Immersive Study Of The Artistry Of Gilbert Biberian —Guitarist, Composer, And Pedagogue— And Creative Responses From A Musical Apprenticeship, Stephanie J. Darcey Jan 2024

An Immersive Study Of The Artistry Of Gilbert Biberian —Guitarist, Composer, And Pedagogue— And Creative Responses From A Musical Apprenticeship, Stephanie J. Darcey

Theses: Doctorates and Masters

This project examines the music of Istanbul-born British classical guitarist and composer Gilbert Biberian (1944-2023) and the potential of this music to stimulate original composition using an intuitive approach. Biberian is recognized as one of the most original and creative guitar composers from the second half of the twentieth century. His musical language embraces and integrates traditional tonality, jazz, post-tonal idioms, and the music of the Middle East. There are three strands to this project: an overview of Biberian’s life, philosophy, and music; a musical apprenticeship with Biberian on technique and musicianship; and also on my compositions. There will be …

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Corrosion Behavior Of Ysz And Ysz/Nico Coatings On Inconel 625 Exposed Alkali Chlorides, Resetiana Dwi Desiati, Eni Sugiarti, Bambang Hermanto, Gerald Ensang Timuda, Hubby Izzuddin, Fraya Aulia Salsabilla, Anawati Anawati Jan 2024

Corrosion Behavior Of Ysz And Ysz/Nico Coatings On Inconel 625 Exposed Alkali Chlorides, Resetiana Dwi Desiati, Eni Sugiarti, Bambang Hermanto, Gerald Ensang Timuda, Hubby Izzuddin, Fraya Aulia Salsabilla, Anawati Anawati

Journal of Metals, Materials and Minerals

Alkali chloride attack on boiler pipe walls is considered the main problem of corrosion in the waste-to-energy (WTE) industry, even though uses superalloy. Electrophoretic deposited (EPD) yttria-stabilized zirconia (YSZ) coating is carried out to protect the Inconel 625 substrate. YSZ is deposited directly both on the Inconel 625 substrate and NiCo-Inconel 625. Corrosion resistance was conducted using the 3.5% NaCl electrochemical test and the hot salt corrosion test at 600°C in alkaline salt media such as NaCl, KCl, and CaCl2. The potentiodynamic polarization curve shows that the YSZ coating deposited on the substrate (single-layer) has a corrosion rate of 0.065 …

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