Physical Sciences and Mathematics Commons^™

Sdgs And Circularity In Fashion Industry: Bruneian Perspective Based On Basic Values, Izzah Mohd Noor, Shahid Anjum

ASEAN Journal on Science and Technology for Development

The fashion industry is facing significant textile waste, with millions of textiles ending up in landfills annually. Overconsumption of textiles and clothes due to fast fashion trends has negative environmental impacts. Transitioning to a circular economy is crucial for minimizing environmental impact and addressing the Sustainable Development Goals (SDGs) in the United Nations' 2030 Agenda. This study investigates the adoption of Circular Economy practices and SDGs awareness in second-hand clothing. Using IBM SPSS Statistics Software and Ordinary Least Squares (OLS) regression, the study models consumer behaviors, and attitudes by investigating the influence of four key components from Schwartz's theory of …

Combating Corporate Fraud Through The Lens Of Corporate Governance In Malaysia, Emelia A. Girau, Dgku Habibah Ag Kee, Betsy Jomitin, Sazali Zainal Abidin, Imbarine Bujang

ASEAN Journal on Science and Technology for Development

The increasing incidence of corporate fraud in major global companies has drawn significant scrutiny to the effectiveness of corporate governance in mitigating such fraudulent activities. Despite substantial improvements in corporate governance practices and the implementation of new regulatory frameworks aimed at curbing corporate fraud, instances of fraud continue to rise. If this situation persists, it will become a serious impediment to making substantial progress toward the 2030 Agenda for Sustainable Development. The objective of this study is to explore the interplay between corporate governance attributes, whistleblowing policies, and the likelihood of corporate fraud occurrences within the context of Malaysia. The …

Formulation Of Naturally Flavoured Mineral Water With Curcuma Longa, Zumirra Affno, Aida M. Basri, Beston F. Nore

ASEAN Journal on Science and Technology for Development

Natural, organic flavoured beverages have become an increasingly important market in the food industry due to flavour and sensory requirements among consumers. Throughout human history, herbs and spices provide a spectrum of natural food flavouring, which became an eminent component of food preparations worldwide. However, their applications in beverages have not been fully exploited. The main objective of this study is to develop flavoured water formulation based on organic turmeric extracts from flower, leaf, and rhizome parts. We adhered the natural mineral water flavouring integrity at refrigerated storage condition (4oC) for a period of 12 weeks. The flavoured water was …

Word Prediction Using Dynamic Skip Connections Along With Arabert And Lstm In Arabic Language, Ahad Almalki, Faris Kateb, Rayan Mosli

ASEAN Journal on Science and Technology for Development

Natural Language Generation (NLG) plays a crucial role in modern digital tools, including chatbots, virtual support, content suggestions, and tailored marketing, making bots more responsive and reducing the need for human staff. While there's much research on NLG for languages like English, languages like Arabic, Urdu, and Chinese still face challenges. This study examines Arabic NLG's unique aspects, dialects, and word variations. With around 420 million Arabic speakers globally, it's crucial to advance NLG for this language. We compared three models: Long Short-Term Memory (LSTM), a mix of Bidirectional Encoder Representations from Transformers (BERT) and LSTM, and a version that …

Impact Of Financial Management System On Organizational Accountability And Responsibility: A Study Of Corporate Entities, Nur Farhanah Binti Marjuni, Junaid M. Shaikh

ASEAN Journal on Science and Technology for Development

This research investigates the impact of Financial Management Systems (FMS) on organizational accountability and responsibility in Brunei's manufacturing sector, utilizing a mixed-methods approach that includes primary data collected through questionnaires distributed to 41 local manufacturing companies and supplemented by secondary data from other ASEAN countries for comparative analysis. The primary focus is to assess the awareness and significance of efficient FMS implementation. Findings demonstrate a substantial influence of FMS on organizational accountability and responsibility, supported by an analysis of primary and secondary data from the ASEAN region. Nevertheless, this study acknowledges limitations such as its exclusive focus on Brunei and …

Conceptualizing The Real And Perceived Risk Factors For Household Solar Pv Investment On Energy Transition Agenda, Syed Quaid Ali Shah, Lai Fong Woon, Ariff Bahruddin, Muhammad Kashif Shad

ASEAN Journal on Science and Technology for Development

The value of electricity produced via solar technologies has increased rapidly over the past decade. This brings along an enormous possibility to generate a substantial share of the world’s energy demand, in tandem with pushing aggressive efforts to cut down carbon emissions. Distributed solar technology, such as the residential solar photovoltaic (PV) system has been acknowledged to be of significant potential. Nevertheless, realizing this potential will require overcoming economic and social barriers to get private individuals to invest in their households. As such, this paper aims to discuss the role of residential investors’ real risk and perceived risk toward investors’ …

Factors Influencing Consumers' Intention To Use Over-The-Top (Ott) Services: A Study In Brunei Darussalam, Hjh Faralisa Hj Zulfikri, Heru Susanto

ASEAN Journal on Science and Technology for Development

The market for over-the-top (OTT) services has witnessed significant growth and transformation, presenting new opportunities and challenges to service providers. This study aims to explore the factors that influence consumers' intention to use OTT services, focusing on the context of Brunei Darussalam. Drawing on the Technology Acceptance Model (TAM) as a theoretical framework, this study investigates the impact of perceived ease of use, perceived usefulness, innovativeness, service quality, information seeking, and entertainment on consumers' intention to use OTT services. A quantitative research approach was adopted and data were collected through an online survey conducted among the general public in Brunei …

An Assessment Of User Satisfaction On Remote Court Hearings In The Brunei Civil Court, Hazwani Masli, Seyed M. Buhari

ASEAN Journal on Science and Technology for Development

Remote court hearings (RCHs) have significantly benefited the Brunei Civil Court in maintaining its judicial system and reducing backlogs as a preventative measure, during COVID-19. RCHs have enhanced the judicial system's accessibility, saving resources and increasing court performance and productivity. However, technical problems and mistrust have slowed the RCH's adoption. This study assessed user satisfaction with remote court hearings using the Technology Acceptance Model (TAM) framework. Three external variables influenced the perceived usefulness of remote court hearings: trust, perceived risk, and fairness expectations. This study also included moderator variables such as age group and professions. This study showed that trust, …

Equipment Performance Cost Optimization Using Machine Learning (A Surface Condenser Case Study), Firdaus Basheer, Mohamed Saleem Haja Nazmudeen, Fadzliwati Mohiddin, Elango Natrajan

ASEAN Journal on Science and Technology for Development

Equipment performance assessment or prediction has usually been done using the conventional approach. Organization is often too busy to focus on improvement opportunities for equipment performance. Opportunities identifications are heavily reliant on expert opinion and the methods used often vary from one person to another depending on the knowledge they possess. The benefits of simplistic and realistic equipment performance prediction would significantly improve maintenance costs and hence could help to reduce the total operating cost of the asset. In this research work, a surface condenser was used as a case study. The solution proposed in this research work is to …

Lake Water Chemistry And Local Adaptation Shape Nacl Toxicity In Daphnia Ambigua, Mary Alta Rogalski, Elizabeth S. Baker, Clara M. Benadon

Biology Faculty Publications

Increasing application of road deicing agents (e.g., NaCl) has caused widespread salinization of freshwater environments. Chronic exposure to toxic NaCl levels can impact freshwater biota at genome to ecosystem scales, yet the degree of harm caused by road salt pollution is likely to vary among habitats and populations. The background ion chemistry of freshwater environments may strongly impact NaCl toxicity, with greater harm occurring in ion-poor, soft water conditions. In addition, populations exposed to salinization may evolve increased NaCl tolerance. Notably, if organisms are adapted to their natal lake water chemistry, toxicity responses may also vary among populations in a …

Geologists As Colonial Scouts: The Rogers Expedition To Otavi And Tsumeb, Namibia, 1892–1895, Selby Hearth

Geology Faculty Research and Scholarship

From 1892 to 1895, the South West Africa Company (SWACO) expedition led by geologist Matthew Rogers conducted the first geologic mapping in Namibia’s Otavi Mountains, including the now world-famous Tsumeb Mine. This paper uses archival documents from the Rogers expedition to trace his geologic contributions and to illustrate important themes in the relationships between 19th century colonial geologists, Western colonizing governments, Indigenous communities, resource extraction, and corporations. To carry out his mapping, Rogers performed a continuous balancing act between British and German colonial powers and local African leaders. The local leaders and communities he interacted with variously resisted his incursions, …

199965, David Kerstetter

PERC Albacore sPAT Data

Datasets (and supporting material) from 4sPAT electronic tags deployed on albacore caught by pelagic longline gear in the western North Atlantic.

199953, David Kerstetter

PERC Albacore sPAT Data

Datasets (and supporting material) from 4sPAT electronic tags deployed on albacore caught by pelagic longline gear in the western North Atlantic.

199949, David Kerstetter

PERC Albacore sPAT Data

Datasets (and supporting material) from 4sPAT electronic tags deployed on albacore caught by pelagic longline gear in the western North Atlantic.

199946, David W. Kerstetter

PERC Albacore sPAT Data

Datasets (and supporting material) from 4sPAT electronic tags deployed on albacore caught by pelagic longline gear in the western North Atlantic.

Ookami: An A64fx Computing Resource, A. C. Calder, E. Siegmann, C. Feldman, S. Chheda, Dennis C. Smolarski Sj, F. D. Swesty, A. Curtis, J. Dey, D. Carlson, B. Michalowicz, R. J. Harrison

Mathematics and Computer Science

We present a look at Ookami, a project providing community access to a testbed supercomputer with the ARM-based A64FX processors developed by a collaboration between RIKEN and Fujitsu and deployed in the Japanese supercomputer Fugaku. We provide an overview of the project and details of the hardware, and describe the user base and education/training program. We present highlights from previous performance studies of two astrophysical simulation codes and present a strong scaling study of a full 3D supernova simulation as an example of the the machine’s capability.

How Increased Ransomware Attacks Have Impacted Hospitals In The United States, Mackenzie Dotson

Theses, Dissertations and Capstones

Introduction: The healthcare industry, particularly hospitals, have fallen prey to the alarming rise of ransomware attacks. In recent years, highly sophisticated cybergroups, armed with substantial funds and advanced technology, have intensified their focus on hospitals. Despite the advice against it, most hospitals have paid the ransom in order to regain access to their electronic systems and patient data, underlining the severity of these attacks.

Purpose of the Study: The purpose of this research was to evaluate the effects of ransomware attacks on hospitals in the US to determine if the patients were at risk due to hackers withholding patient information …

Extending Active Network Length Versus Catchment Discharge Relations To Temporarily Dry Outlets, Gianluca Botter, James Mcnamara, Nicola Durighetto

Geosciences Faculty Publications and Presentations

River networks are not steady blue lines drawn in a map, since they continuously change their shape and extent in response to climatic drivers. Therefore, the flowing length of rivers (L) and the corresponding catchment-scale streamflow (Q_sur) co-evolve dynamically. This paper analyzes the relationship between the wet channel length and the streamflow of a river basin, formulating a general analytical model that includes the case of temporarily dry outlets. In particular, the framework relaxes the common assumption that when the discharge at the outlet tends to zero the upstream flowing length approaches zero. Different analytical …

Charged Excitons And Trions In The Semiconductor Quantum Dot: Electronic Structure And Effect Of External Fields, Jayden Leonard

Theses, Dissertations and Capstones

In this thesis, we are studying the electronic structures and optical properties of charged excitons and trions (i.e., the exciton-associated quasi-particles in semiconductor materials) in quantum dots which have a three-dimensional confinement configuration. We also consider the effects of an external electric and magnetic field on the charged excitons. Initially theorized in 1958, charged excitons are a fairly new phenomenon in physics in which an exciton (i.e., an electron coupled with an electron hole) is coupled with either another electron or another hole (giving either a ‘negative exciton’ or ‘positive exciton’ accordingly). In the completely confined configuration like the quantum …

A Holistic Approach To Performance Prediction In Collegiate Athletics: Player, Team, And Conference Perspectives, Christopher Taber, S. Sharma, Mehul S. Raval, Samah Senbel, Allison Keefe, Jui Shah, Emma Patterson, Julie K. Nolan, N.S. Artan, Tolga Kaya

Exercise Science Faculty Publications

Predictive sports data analytics can be revolutionary for sports performance. Existing literature discusses players' or teams' performance, independently or in tandem. Using Machine Learning (ML), this paper aims to holistically evaluate player-, team-, and conference (season)-level performances in Division-1 Women's basketball. The players were monitored and tested through a full competitive year. The performance was quantified at the player level using the reactive strength index modified (RSImod), at the team level by the game score (GS) metric, and finally at the conference level through Player Efficiency Rating (PER). The data includes parameters from training, subjective stress, sleep, and recovery (WHOOP …

Advancing Cancer Classifcation Through Machine Learning Analysis Of Rna-Seq Gene Expression Data, Emil Agbemade, Amina Issoufou Anaroua, Dimitri Bamba

Data Science and Data Mining

This study delves into the classifcation of various cancer types using the RNA-Seq (HiSeq) PANCAN dataset from the UCI Machine Learning Repository, which encompasses a rich collection of gene expression data across multiple tumor samples. To improve cancer diagnosis and treatment, our methodology confronts the challenges inherent in high-dimensional datasets, such as the Hughes Effect and the Curse of Dimensionality, through innovative feature selection methods and machine learning approaches. A key component of our strategy includes the use of tree-based algorithms, particularly Random Forest, to refine the dataset to seventy genes of utmost relevance for tumor classifcation, and the application …

Existence Of Solutions By Coincidence Degree Theory For Hadamard Fractional Differential Equations At Resonance, Martin Bohner, Alexander Domoshnitsky, Seshadev Padhi, Satyam Narayan Srivastava

Mathematics and Statistics Faculty Research & Creative Works

Using the Coincidence Degree Theory of Mawhin and Constructing Appropriate Operators, We Investigate the Existence of Solutions to Hadamard Fractional Differential Equations (FRDEs) at Resonance

Developing Machine Learning And Time-Series Analysis Methods With Applications In Diverse Fields, Muhammed Aljifri

Theses and Dissertations

This dissertation introduces methodologies that combine machine learning models with time-series analysis to tackle data analysis challenges in varied fields. The first study enhances the traditional cumulative sum control charts with machine learning models to leverage their predictive power for better detection of process shifts, applying this advanced control chart to monitor hospital readmission rates. The second project develops multi-layer models for predicting chemical concentrations from ultraviolet-visible spectroscopy data, specifically addressing the challenge of analyzing chemicals with a wide range of concentrations. The third study presents a new method for detecting multiple changepoints in autocorrelated ordinal time series, using the …

Penalized Interpolating B-Splines And Their Applications, Kylee L. Hartman-Caballero

Theses and Dissertations

One of the most studied data analysis techniques in Numerical Analysis is interpolation. Interpolation is used in a variety of fields, namely computer graphic design and biomedical research. Among interpolation techniques, cubic splines have been viewed as the standard since at least the 1960s, due to their ease of computation, numerical stability, and the relative smoothness of the interpolating curve. However, cubic splines have notable drawbacks, such as their lack of local control and necessary knowledge of boundary conditions. Arguably a more versatile interpolation technique is the use of B-splines. B-splines, a relative of Bézier curves, allow local control through …

Identifying Nutrient Dynamics And Relative Groundwater Contribution In Wetlands At Fish Lake Environmental Center, Lapeer Mi, Rose Allen

Senior Honors Theses and Projects

Wetlands are complex ecosystems that are dependent on hydrologic processes and water chemistry. Understanding the role that water chemistry and nutrients play in wetland ecosystems is crucial to wetland management and restoration. The Fish Lake Environmental Education Center near Lapeer Michigan, is glacially influenced, and contains a large bog. Between the bog and lake there are multiple kettles that contain ephemeral wetlands in the spring. Bogs are primarily precipitation sourced, whereas the kettle wetlands may be a combination of precipitation and groundwater sourced. Previous studies indicated that groundwater flow direction is towards Fish Lake, but it was unclear to what …

Weed Seed Wizard Scenario - Herbicide Resistance In Wild Oats In Wagga Wagga, New South Wales, Department Of Primary Industries And Regional Development, Western Australia

Biosecurity research reports

The Weed Seed Wizard is a national collaborative project that uses paddock management information to predict weed emergence and crop losses now and in the future.

The Weed Seed Wizard is a computer simulation tool that:

• applies to all Australian grain growing areas

• helps growers understand and manage weed seedbanks on their farms

• uses farm management records to simulate how different crop rotations, weed control techniques, irrigation, grazing and harvest management tactics can affect weed numbers, the weed seedbank and yields

• uses farm-specific management and site-specific weather

• is multi-species

See www.dpird.wa.gov.au for further information on Weed Seed Wizard.

This New …

Weed Seed Wizard Scenario - Herbicide Resistance In Wild Radish In Moora, Western Australia, Department Of Primary Industries And Regional Development, Western Australia

Biosecurity research reports

The Weed Seed Wizard is a national collaborative project that uses paddock management information to predict weed emergence and crop losses now and in the future.

The Weed Seed Wizard is a computer simulation tool that:

• applies to all Australian grain growing areas

• helps growers understand and manage weed seedbanks on their farms

• uses farm management records to simulate how different crop rotations, weed control techniques, irrigation, grazing and harvest management tactics can affect weed numbers, the weed seedbank and yields

• uses farm-specific management and site-specific weather

• is multi-species

See www.dpird.wa.gov.au for further information on Weed Seed Wizard.

This Western …

Weed Seed Wizard Scenario - Glyphosate Resistance In Barnyard Grass In Goondiwindi, Queensland, Department Of Primary Industries And Regional Development, Western Australia

Biosecurity research reports

The Weed Seed Wizard is a national collaborative project that uses paddock management information to predict weed emergence and crop losses now and in the future.

The Weed Seed Wizard is a computer simulation tool that:

• applies to all Australian grain growing areas

• helps growers understand and manage weed seedbanks on their farms

• uses farm management records to simulate how different crop rotations, weed control techniques, irrigation, grazing and harvest management tactics can affect weed numbers, the weed seedbank and yields

• uses farm-specific management and site-specific weather

• is multi-species

See www.dpird.wa.gov.au for further information on Weed Seed Wizard.

This Queensland …

Life Cycle Progression Of Chlainomonas Sp.: A Field Study, Honu Pata, Robin Kodner, Ag Camara, Clare Hanneman, Maya Matsumoto, Dan Van Hees

WWU Honors College Senior Projects

Every year, there are blooms of algae in snowy alpine environments during the summer snow melts. One environment in particular, the snow-on-lake habitat on Bagley Lake in Mt Baker, has been the subject of study by the Kodner lab for many years. In this habitat, we find the genus Chlainomonas which has bloomed in late spring and early summer annually. Our lab has proposed a life cycle for the genus (Matsumoto et al 2024), and there are many morphologically distinct cell stages found in field collected samples. This study has expanded our understanding the life cycle dynamics by examining the …

Artificial Intelligence And News Consumption: A Study Of Trust, Credibility And Transparency In Automated Journalism, Julia Lobo Paes

Dissertations and Theses

According to Gallup poll (2023), over the last 50 years there has been a decline in how much Americans trust mass media. While in the 1970’s 72% of the population responded that they trust the media a 'great deal/fair amount', this number dropped to 34% in 2023. Given the decreasing public trust in news, this thesis focused particularly on analyzing trust in the organization, trust in the news story and perceived credibility in AI generative content. In addition to articles created by AI, this study also aimed to analyze how the public perceives information that has been personalized and distributed …