Digital Commons Network^™

Hamming Distance Of Generalised L-R Intuitionistic Fuzzy Number And Its Application, Muhammad Asyran Shafie, Nor Hanimah Kamis, Daud Mohamad, Seripah Awang Kechil

Malaysian Journal of Computing (MJoC)

This paper proposes a distance measure for generalised L-R intuitionistic fuzzy number (GLRIFN) which is Hamming distance, aiming to enhance the theoretical and practical tools available for decision-making under uncertainty. The properties of the Hamming distance of generalised L-R intuitionistic fuzzy number are also discussed in this study. GLRIFN extends traditional L-R intuitionistic fuzzy number by incorporating confidence level for both membership and non-membership functions, making them more reliable in the evaluation process. To demonstrate the practical utility of the proposed measure, it is applied within the Generalised L-R Intuitionistic Fuzzy Technique for Order of Preference by Similarity to Ideal …

Haar Cascade Algorithm For Microsleep Detection, Norkhushaini Awang, Ahmad Mirza Azhar

Malaysian Journal of Computing (MJoC)

Drowsy driving, particularly due to microsleep episodes, is a significant cause of traffic accidents, with existing solutions being often too costly or limited for widespread adoption. This project addresses this critical gap by developing a cost-effective, real-time Internet of Things (IoT)-based anti-microsleep alarm system. The system's development followed a fourstage process: Planning, Design, Development, and Evaluation. During the development phase, the system was built in Python using OpenCV and dlib for real-time facial analysis and the Haar Cascade algorithm for efficient facial feature detection. Key metrics like the Eye Aspect Ratio (EAR) and lip distance were monitored to identify signs …

Juxtaposing Approaches To Risk-Based Ai Governance In Different ‘Rights’ Contexts: A Comparative Analysis Between Singapore And The Eu, Jane Loo, Mark Findlay

Research Collection Yong Pung How School Of Law

Comparative analysis of European and certain Asian approaches to governance often degenerates into simplistic dichotomies based on universal human rights assumptions. This chapter rejects such dualities, ill-informed by theory and historical reflection. The emerging argument is founded on a historical realist approach to theorising difference. Assisted by Polanyi’s double movement, the detailed substantive comparison is preceded by considerations of how recent trends in governing AI have uniformly adopted a countermovement against the dis-embedding of data and technology from the social leading to a risk/responsibility paradigm. From here, a more nuanced reflection of AI governance approaches in the EU and Singapore …

Record Number Of Students Enter Top Stem Phd Programs, Anthony Bosman

Faculty Publications

No abstract provided.

Machine Learning For Dissolved Oxygen Prediction In The Manawatu River Catchment, New Zealand, Imokhai T. Tenebe, Eunice O. Babatunde, Nkpa M. Ogarekpe, Egbe Etu Etu, Joshua Emakhu, Kindness E. Etu, Obiora B. Ezeudu, Oluwarotimi S. Oladele

Faculty Research, Scholarly, and Creative Activity

Uncontrolled anthropogenic activities have increased river pollution, resulting in poor water quality and a growing need for continuous monitoring, which is time-consuming and costly. This study evaluated the accuracy of machine learning (ML) models in predicting dissolved oxygen (DO) levels, aiming to reduce field monitoring efforts and minimize the number of measured parameters. Regression models (Huber, Linear, Ridge), Bagging methods (Extra Trees, Random Forest, Decision Trees), and Boosting techniques (Gradient Boosting, Light Gradient Boosting, AdaBoost) were tested using data from three sites in the Manawatu Catchment, New Zealand. Data spanning 1989–2014 included 12 water quality variables and was split into …

Mapping The Geographic Distribution Of Dimorphic Mycoses Using A Us Commercial Insurance Database, Reid Goodman, Adriana M Rauseo, Samuel L Windham, Julio C Zuniga-Moya, William G Powderly, Andrej Spec, Patrick B Mazi

2020-Current year OA Pubs

BACKGROUND: The dimorphic mycoses (DMs) histoplasmosis, blastomycosis, and coccidioidomycosis are classically thought to be geographically restricted to specific regions of the United States. The current scientific consensus is that these geographic boundaries are expanding, but the extent of this expansion remains uncertain.

METHODS: This study is a retrospective analysis of >21 million (annually) commercially insured individuals within the United States during 2007-2016. Diagnosis of histoplasmosis, coccidioidomycosis, and blastomycosis were identified using

RESULTS: There were 37 513 histoplasmosis, 14 987 coccidioidomycosis, and 2207 blastomycosis diagnoses during 2007-2016 within 387 Metropolitan Statistical Areas. DMs were consistently diagnosed outside their historical hyperendemic regions. …

The Access Assembly: Learning Together, Building Friendships, And Strengthening Our Leadership Capacities, Chandra Turpen, Brianne Gutmann, Robert P. Dalka, Gina M. Quan, Mackenzie Carlson, Joel C. Corbo, Gabrielle Jones-Hall, Megan Marshall Smith, Devyn E. Shafer

Faculty Research, Scholarly, and Creative Activity

Founded in 2014, the Access Network brings together nine student-centered, university-based programs that pursue systemic change towards a vision of a more diverse, equitable, inclusive, and accessible STEM community. Leaders at the Network-level and program-level are either current students (undergraduate or graduate) or young faculty and professional scientists, many of whom started out as student leaders in Access programs. Over the last 9 years, Access has brought people together (virtually or in-person) for an annual event called the "Assembly." Student leaders who attend the Assembly appreciate community-building and networking opportunities that help them build capacity for leading local site programming. …

Data-Driven Optimization And Parameter Estimation For A Metric Graph Epidemic Model With Applications To Covid-19 Spread In Poland: A Real-World Example Of Optimization For A Challenging Rosenbrock-Type Objective Function, Hannah Kravitz, Christina Duron, Brittani Nieves, Moysey Brio

Mathematics and Statistics Faculty Publications and Presentations

In this paper, we apply data-driven optimization to estimate key parameters in a metric graph-based epidemiological model, with the aim of analyzing the effect of road networks on the geographic spread of epidemics. As a case study, we fit our model to data from the COVID-19 pandemic in Poland during 2021. Our dataset integrates county-level daily case reports, national census information, and traffic flow studies. This framework allows us to examine the relative contribution of specific travel routes over time and infer unobserved transmission patterns in the presence of incomplete or unreliable case reporting. The optimization problem that arises from …

The Fate Of Recycled Water In Restored Wetlands, Punyotoya Paul

Environmental Science and Management Professional Master's Project Reports

This research investigates the hydrological fate of treated wastewater or "recycled water" used for irrigation at a restored wetland site (Thomas Dairy) near Tigard, Oregon, that is managed by Clean Water Services (CWS). CWS is interested in understanding how treated wastewater moves through plants and soil in ecosystems that might be targeted for recycled water applications. Using a water balance approach, we evaluated irrigation inputs, soil infiltration dynamics, and hydraulic conductivity measurements across three soil types with different textures and other properties. Field measurements were collected using advanced sensors (TEROS and ATMOS devices) and laboratory tools (KSAT) to quantify soil …

Stratifying Lung Adenocarcinoma Risk With Multi-Ancestry Polygenic Risk Scores In East Asian Never-Smokers, Batel Blechter, Xiaoyu Wang, Juncheng Dai, Christiana Karsonaki, Jianxin Shi, Kouya Shiraishi, Jiyeon Choi, Keitaro Matsuo, Tzu-Yu Chen, Rayjean J Hung, Kexin Chen, Xiao-Ou Shu, Young Tae Kim, Parichoy Pal Choudhury, Jacob Williams, Maria Teresa Landi, Dongxin Lin, Wei Zheng, Zhihua Yin, Baosen Zhou, Jiucun Wang, Wei Jie Seow, Lei Song, I-Shou Chang, Wei Hu, Li-Hsin Chien, Qiuyin Cai, Yun-Chul Hong, Hee Nam Kim, Yi-Long Wu, Maria Pik Wong, Brian Douglas Richardson, Shilan Li, Tongwu Zhang, Charles Breeze, Zhaoming Wang, Bryan A Bassig, Jin Hee Kim, Demetrius Albanes, Jason Yy Wong Sm, Min-Ho Shin, Lap Ping Chung, Yang Yang, Hong Zheng, Hongji Dai, Yasushi Yatabe, Xu-Chao Zhang, Young-Chul Kim, Neil E Caporaso, Jiang Chang, James Chung Man Ho, Yataro Daigo, Yukihide Momozawa, Yoichiro Kamatani, Masashi Kobayashi, Kenichi Okubo, Takayuki Honda, H Dean Hosgood, Hideo Kunitoh, Shun-Ichi Watanabe, Yohei Miyagi, Shingo Matsumoto, Hidehito Horinouchi, Masahiro Tsuboi, Ryuji Hamamoto, Koichi Goto, Atsushi Takahashi, Akiteru Goto, Yoshihiro Minamiya, Megumi Hara, Yuichiro Nishida, Kenji Takeuchi, Kenji Wakai, Koichi Matsuda, Yoshinori Murakami, Kimihiro Shimizu, Hiroyuki Suzuki, Motonobu Saito, Yoichi Ohtaki, Kazumi Tanaka, Tangchun Wu, Fusheng Wei, Mitchell J Machiela, Yeul Hong Kim, In-Jae Oh, Victor Ho Fun Lee, Gee-Chen Chang, Kuan-Yu Chen, Wu-Chou Su, Yuh-Min Chen, Adeline Seow, Jae Yong Park, Sun-Seog Kweon, Yu-Tang Gao, Jianjun Liu, Ann G Schwartz, Richard Houlston, Ivan P Gorlov, Xifeng Wu, Ping Yang, Stephen Lam, Adonina Tardon, Chu Chen, Stig E Bojesen, Mattias Johansson, Angela Risch, Heike Bickeböller, Bu-Tian Ji, H-Erich Wichmann, David C Christiani, Gad Rennert, Susanne M Arnold, Paul Brennan, James Mckay, John K Field, Michael P A Davies, Sanjay S Shete, Loïc Le Marchand, Geoffrey Liu, Angeline S Andrew, Lambertus A Kiemeney, Shan Zienolddiny-Narui, Kjell Grankvist, Angela Cox, Fiona Taylor, Jian-Min Yuan, Philip Lazarus, Matthew B Schabath, Melinda C Aldrich, Hyo-Sung Jeon, Shih Sheng Jiang, Chung-Hsing Chen, Chin-Fu Hsiao, Zhibin Hu, Laura Burdett, Meredith Yeager, Amy Hutchinson, Belynda Hicks, Jia Liu, Sonja I Berndt, Wei Wu, Junwen Wang, Yuqing Li, Jin Eun Choi, Kyong Hwa Park, Sook Whan Sung, Chang Hyun Kang, Wen-Chang Wang, Jun Xu, Peng Guan, Wen Tan, Chong-Jen Yu, Gong Yang, Alan Dart Loon Sihoe, Yi Young Choi, In Kyu Park, Hsiao-Han Hung, Roel C H Vermeulen, Iona Cheng, Junjie Wu, Fang-Yu Tsai, John K C Chan, Jihua Li, Hsien-Chih Lin, Jie Liu, Bao Song, Norie Sawada, Taiki Yamaji, Kathleen Wyatt, Hongxia Ma, Meng Zhu, Yifan Wang, Tianchen Qi, Xuelian Li, Yangwu Ren, Ann Chao, Motoki Iwasaki, Junjie Zhu, Guoping Wu, Chih-Yi Chen, Chien-Jen Chen Scd, Pan-Chyr Yang, Victoria L Stevens, Joseph F Fraumeni, Kuang Lin, Robin G Walters, Zhengming Chen, Nilanjan Chatterjee, Olga Y Gorlova, Christopher I Amos, Hongbing Shen, Chao Agnes Hsiung, Stephen J Chanock, Nathaniel Rothman, Takashi Kohno, Qing Lan, Haoyu Zhang

Faculty, Staff and Students Publications

Background: Lung adenocarcinoma (LUAD) in never-smokers is a major public health burden, especially among East Asian women. Polygenic risk scores (PRSs) are promising for risk stratification but are primarily developed in European-ancestry populations. We aimed to develop and validate single- and multi-ancestry PRSs for East Asian never-smokers to improve LUAD risk prediction.

Methods: PRSs were developed using genome-wide association study summary statistics from East Asian (8,002 cases; 20,782 controls) and European (2,058 cases; 5,575 controls) populations. Single-ancestry models included PRS-25, PRS-CT, and LDpred2; multi-ancestry models included LDpred2+PRS-EUR128, PRS-CSx, and CT-SLEB. Performance was evaluated in independent East Asian data from the …

Review And Gap Analysis On Mathematical Programming Models For Urban E Grocery Delivery, Nur Hazimah Basir, Adibah Shuib

Malaysian Journal of Computing (MJoC)

Online grocery shopping or e-grocery has becoming more relevant nowadays when consumers' shopping habit changed due to pandemic COVID-19 while e-Commerce rapidly transformed consumers’ lifestyle and buying behaviour in recent years, Consumers’ expectation for faster, better and cheaper delivery put e-grocers under rising pressure to improve delivery speed, achieving environmentally friendly delivery methods and addressing issues of making profit. There have been studies worldwide on development of more efficient e-grocery delivery system. However, studies concerning e-grocery delivery in Malaysia are still lacking especially on those utilizing mathematical programming models for delivery optimization. Our study focuses on the formulation of mixed …

E-Commerce Requirement Analysis And Design With Fogg Behavior Model Fbm, Fauziah Ahmad, Syafiyana Elysha Asmadi, Norjansalika Janom

Malaysian Journal of Computing (MJoC)

E-commerce platforms often struggle to convert user visits into meaningful actions, and this paper explores how the Fogg Behavior Model (FBM) can be used to design a more effective e-commerce (EC) platform. FBM focuses on three key factors that influence user behavior: motivation, ability, and triggers. It offers a structured framework for designing systems that not only meet functional needs but also enhance user engagement and actions. The Web Development Life Cycle (WDLC) method was employed to develop an EC platform for Carro Empire, a small business enterprise that wanted to improve its EC platform to attract and expand its …

A Multicriteria Decision Model For Sustainable Port Functions In Environmental Perspectives

Malaysian Journal of Computing (MJoC)

Port operations, while critical to global trade and economic growth, contribute significantly to environmental pressures through activities such as vessel traffic, cargo handling, dredging, and on-dock transportation, leading to emissions of greenhouse gases and other pollutants. Hence, it is of priority to have a systematic evaluation and prioritization of sustainability measures across port functions. This study employs a multi-criteria decision-making (MCDM) approach, the Analytic Hierarchy Process (AHP), to evaluate and prioritize key functional roles and subfunctions that contribute to port sustainability performance. By engaging expert judgment from two leading ports in Malaysia, the analysis identifies stakeholder priorities on the emphasis …

Towards A Unified Framework For Knowledge Tracing With Graph Convolutional And Neural Architectures, Yaxi Su, Mohamad Yusof Darus, Norizan Mat Diah, Jinpeng Huang, Azlin Ramli

Malaysian Journal of Computing (MJoC)

This paper sets out to propose a unified theoretical framework for knowledge tracing (KT) that combines graph convolutional networks (GCNs) with neural sequence architectures in intelligent tutoring systems. While existing methods have achieved some success, they face limitations in modelling relational dependencies among concepts and the temporal progression of learner behaviour. Building on socio-constructivist views of knowledge as a network of relations and connectionist accounts of learning as adaptation over time, the framework integrates graph-based relational reasoning with sequence-based temporal modelling. The argument advanced here is that the integration offers interpretable representations of knowledge states while preserving predictive performance. The …

Designing A Community Based Information System Using Activity Theory A Case Study In Taman Lapangan Jaya, Norsyazwani Hafizah Reduan, Kamalia Azma Kamaruddin

Malaysian Journal of Computing (MJoC)

Effective communication and information sharing are vital for active neighbourhood participation, yet many communities still rely on informal group chats that lead to fragmented updates, lost documents, and frequent miscommunication. This study addresses this gap by applying Activity Theory (AT) to systematically identify requirements for a centralized community communication and information-sharing platform in Taman Lapangan Jaya. Using AT, the seven elements of activity were mapped to reveal key issues such as the communication bottleneck, lack of document accessibility, and unclear division of responsibilities. These findings informed the design of a web-based system featuring structured document repositories, role-based information management, and …

Modified Hungarian Method For Lecturer To Course Assignment A Multi Objective Mathematical Programming Model, Nur Syahirah Ibrahim, Adibah Shuib, Zati Aqmar Zaharudin

Malaysian Journal of Computing (MJoC)

Efficient lecturer-to-course assignment is crucial for ensuring both faculty satisfaction and optimal teaching outcomes in higher education institutions. This study presents an advanced optimization model based on the Modified Hungarian Method (MHM) to address this challenge by integrating lecturers' preference levels and competency scores. While previous research has primarily focused on the traditional Hungarian Method (HM), limited attention has been given to its modified version. Moreover, the incorporation of preference-competency-based criteria in lecturer assignments is still lacking. To bridge these gaps, this study develops a mathematical programming approach to refine the MHM framework. The proposed model, called the Preference-Competency Multi-Objective …

Prevalence Of Risk Factors And Severity Level Of Diabetic Retinopathy In Uitm Medical Specialist Centre:An Ordinal Analysis, Aniza Ayuna Che Jani, Zuraida Khairudin, Nornadiah Mohd Razali, Nor Azimah Abd Aziz, Hezlin Aryani Abd Rahman, Nur Syamimi Haji Abu Bakar

Malaysian Journal of Computing (MJoC)

Diabetic Retinopathy (DR) has become a major concern as the number of diabetic patients who are diagnosed with DR has been on the rise each year. Hence, the adoption of a strategic approach is needed to determine the factors that contribute to the level of severity in DR patients. This research aims to determine the significant risk factors influencing the severity level of DR as well as to evaluate the classification rate between the severity level of 157 patients at UiTM Private Specialist Centre by employing the Ordinal Logistic Regression (OLR) analysis. The study revealed that there were 60 (38%) …

Family Income And Polygenic Scores Are Independently But Not Interactively Associated With Cognitive Performance Among Youth Genetically Similar To European Reference Populations, S E Paul, N M Elsayed, S M C Colbert, R Bogdan, A S Hatoum, D M Barch

2020-Current year OA Pubs

Cognitive abilities are heritable and influenced by socioeconomic status (SES). It is critical to understand the association between SES and cognition beyond genetic propensity to inform potential benefits of SES-based interventions and to determine if such associations vary across (i) cognitive domains, (ii) facets of SES, and/or (iii) genetic propensity for different aspects of cognition. We examined the contributions of neighborhood socioeconomic advantage, family income, and polygenic scores (PGS) for domains of cognition (i.e., general cognitive ability, executive function, learning and memory, fluid reasoning) in a sample of children (ages 9-10;

Identification Of Surrogate Outcome Biomarkers In Lung Allograft Recipients With Bronchiolitis Obliterans: Implications For Randomized Controlled Trials, Derek E. Byers, Suresh Vedantham, Mary Clare Derfler, Paul Commean, Andrew Atkinson, Jeff Atkinson, Alexey Prokudin, John Mccarthy, George Despotis, Et Al.

2020-Current year OA Pubs

BACKGROUND: We developed a prospective, multicenter "registry" to evaluate the effect of extracorporeal photopheresis for lung transplant recipients who develop chronic lung allograft dysfunction (CLAD) with the bronchiolitis obliterans syndrome (BOS) phenotype (CLAD/BOS) and who are refractory to conventional standard-of-care therapy.

METHODS: Data from 258 lung transplant recipients enrolled in the Registry between April 2015 and April 2022 were included in this analysis. All recorded parameters (eg, demographics), including forced expiratory volume in 1 s (FEV

RESULTS: Mortality at 6 and 12 mo after CLAD/BOS diagnosis was 5% and 14%, whereas mortality at 6 and 12 mo after enrollment was …

Do Complex Psychometric Analyses Really Matter? Comparing Multiple Approaches Using Individual Participant Data From Antidepressant Trials, David Byrne, Frank Doyle, Susan Brannick, Robert M Carney, Pim Cuijpers, Alexandra L Dima, Kenneth E Freedland, Suzanne Guerin, David Hevey, Bishember Kathuria, Emma Wallace, Fiona Boland

2020-Current year OA Pubs

BACKGROUND: Psychometric methods are used to remove underperforming items and reduce error in existing measures, albeit different approaches can produce different results. This study aimed to determine the implications of applying different psychometric methods for clinical trial outcomes.

METHODS: Individual participant data from 15 antidepressant treatment trials from Vivli.org were analyzed. Baseline (pretreatment) and 8-week (range 4-12 weeks) outcome data from the Montgomery-Asberg Depression Rating Scale were subjected to best-practice factor analysis (FA), item response theory (IRT), and network analysis (NA) approaches. Trial outcomes for the original summative scores and psychometric-model scores were assessed using multilevel models. Percentage differences in …

Detection And Prevention Of Water Inrush From Seam Floor During Coal Mining Above Confined Aquifer, Weidong Pan, Yupei Deng, Houlin Du, Shiqi Liu, Mingtao Xu, Xingjie Liu

Journal of Sustainable Mining

With the increasing intensity of coal resource exploitation in China, the geological conditions of the working face are becoming more and more complex, and the bottom plate breakage (bottom bulge) and water inrush disasters caused by pressurized water mining are becoming more prominent. This article is based on the 21605 working face of Xin’an Coal Mine in Zaozhuang Mining Group. Through theoretical analysis and numerical calculations, the characteristics and scope of coal seam floor failure in the working face are obtained. Especially, the electrode cable direct current detection system designed through self-optimization was used for actual testing. Research shows that …

The Suitability Of Advanced Geospatial Technologies In Monitoring Mine Surface Displacement, Long Quoc Nguyen, Tuyet Minh Dang, Lipecki Tomasz

Journal of Sustainable Mining

This study conducts a thorough review of the current scientific literature on the application of geospatial methods in the assessment of mining-induced displacement. The scope of research included technologies for determining deformation, subsidence, and landslide in mining areas. Global Navigation Satellite Systems, Unmanned Aerial Vehicles, Terrestrial Laser Scanners, Remote Sensing, and fusion methods are approaches used to solve the research objectives. Additionally, the paper also mentions some advantages, disadvantages, and scope of application of these methods. The investigation revealed that the displacement detection method most commonly used at the moment is satellite radar interferometry.

Towards Sustainable Mining: Ghg Considerate Open Pit Long-Term Planning Using Adaptive Large Neighborhood Search Algorithm, Bahar Amirmoeini, Martin Grenon, Ali Moradi Afrapoli

Journal of Sustainable Mining

Mine planning involves the systematic design and coordination of mineral extraction from the earth’s crust, integrating exploration, production, and various engineering considerations. With increasing emphasis on environmental responsibility, the mining industry is under pressure to incorporate environmental considerations into mine planning. This paper addresses the precedence-constrained production scheduling problem (PCPSP) within the context of green long-term mining planning, aiming to optimize extraction processes while restricting carbon emission. Given the NP-hard nature of the PCPSP, this study introduces an adaptive large neighborhood search (ALNS) algorithm tailored specifically for long-term mine planning. A range of computational experiments have been carried out, including …

Economic Viability And Environmental Sustainability: A Cost-Benefit Analysis Of Green Technologies In Mineral Extraction, Tshinkobo Bukasa Orphea, Agyingi Babaca Agyingib, Xiangrui Meng

Journal of Sustainable Mining

This research offers a novel approach to comparing green technologies’ economic profitability and environmental sustainability of their mineral extraction based upon econometric and life cycle assessment methodologies. Quantitative results show attractive results with an NPV of $2,014,001 and an IRR of 17%. In the third year, the project nets at $300,000, or 63%, at a 7% discount rate. However, soil protection remains challenging, but pollution coefficients are improved, as evidenced by environmental impact assessments (EIAs). The findings in the study further underscore how regulatory frameworks and market drivers dictate the use of green technology. The economic, environmental and regulatory costs …

A Case Study Comparing The Results Of A Copper Open-Pit Mine Scheduling Considering Two Different Approaches For Spatial Interpolation Of Comminution Geometallurgical Variables, Sílvia Martins, Pedro Campos, Douglas Mazzinghy

Journal of Sustainable Mining

The use of geometallurgical variables to improve the accuracy obtained in mine planning is an increasingly present reality in mining. However, the way these variables are interpolated to construct the block model is still a major challenge since they are non-additive variables. In this case study, a database from a copper mine located in Brazil was used to compare mining planning by Direct Block Scheduling using two spatial interpolation approaches. In the first approach, the geometallurgy block model was produced interpolating the comminution indexes Axb and BWI from the drill holes, and the specific energy was calculated at each block. …

Impact Of Multiple Mining Subsidence On Large Diameter Steel Pipelines: The Upper Silesian Coal Basin Case Study, Piotr Kalisz, Magdalena Zięba, Marcin Grygierek

Journal of Sustainable Mining

The article concerns the impact of multiple mining subsidence on pipeline expansion capacity based on the analysis of the field research results. The article presents a case study related to a water mains system that supplies drinking water to approximately 3.5 million consumers. These pipelines are made of steel with diameters of 1600 mm and 1400 mm. The water mains partly run through mining and post-mining areas in the Upper Silesian Coal Basin in Poland. These pipelines are equipped with expansion joints to protect them against the impact of ground deformations. The field research concerned the assessment of the position …

Recovery Of Magnesium Sulfate And Calcium Sulfate From Zinc Flotation Tailing, Raquel Húngaro Costa, Jonathan Tenório Vinhal, Tatiana Scarazzato, Denise Crocce Romano Espinosa

Journal of Sustainable Mining

Resource recovery is a process that has been used to obtain products from industrial waste. Mining tailings can be used as an alternative through ore beneficiation to create by-products for this type of waste. The work herein investigated the recovery of two products from a real tailing generated in the Zn beneficiation route in the flotation step. A non-magnetic fraction was submitted to a hydrometallurgical route to produce MgSO₄ and CaSO_4. Thermodynamic simulations using FactSage software were performed to evaluate the optimal leaching conditions varying the S:L ratio, the sulfuric acid concentration, and temperature. The best modeled conditions …

Covid's Impact On Our Youngest Learners, Scottie Ellsworth

Journal of the Symposium of University Research and Creative Expression

Project Mentor(s): Amanda Obery, PhD; Wendie Castillo

The COVID-19 pandemic profoundly disrupted education, leaving lasting effects on elementary students’ academic development, particularly in literacy and reading comprehension. This research investigated the long-term educational impacts of the pandemic by drawing on qualitative insights from interviews with five educators across a range of specializations, including general education, interventional support, and multilingual learning. Using inductive thematic analysis and descriptive coding, the study identified key themes that reflected shifts in academic achievement, student behavior, attendance, and school priorities post-pandemic. These findings illuminate critical areas where students require support and outline the structural, instructional, and …

Construction, Optimization, And Characterization Of An Undergraduate Cold Cathode Table-Top Electron Accelerator For Radiation Physics Education, Caitlin Balmer, Mason Skeath, Mehran M. Zaini, Peter Zencak, Erin M. Craig

Journal of the Symposium of University Research and Creative Expression

Project Mentor(s): Mehran Zaini, PhD; Peter Zencak

Rising cancer cases spurred advancements in radiation therapy modalities, including electron accelerators. In this report, descriptive and diagnostic analysis was utilized to develop and characterize a functional, low energy cold cathode table-top electron accelerator for radiation physics experimentation in Central Washington University’s (CWU) undergraduate radiation lab. The device features a tungsten cathode (TC), brass anode, and copper Faraday Cup (FC) in a vacuum, enclosed by blue-tinted polyvinyl chloride (PVC). TC electron emission was facilitated by applied electric fields from input voltages of 1000 V to 5000 V. FC collected electron current in the …

Effect Of Coniferous Trees And Water Availability On Soil Acidification, Jessica A. Cheever

Journal of the Symposium of University Research and Creative Expression

Project Mentor(s): Mary Poulson, PhD

Water availability and coniferous tree species can cause acidification and a change in soil fertility. Previous research in European forests found that rainfall, soil acidity, and conifer prevalence influenced soil quality and biodiversity. However, not much is known about these effects in the Pacific Northwest’s forests. Three forests were chosen based on a gradient of annual precipitation. The Hoh Rain Forest, the Tiger Mountain State Forest, and the Okanogan-Wenatchee National Forest were used for wet, mesic, and dry conditions, respectively. Each location had a three-by-six grid spaced 50 meters between each plot. The location was …