Physical Sciences and Mathematics Commons^™

Byproducts Of Tropical Marine Processing As A Candidate For Industrial Food Ingredients: An Appraisal On Macro And Micronutrients, Abdul Aziz Jaziri, Hajariah Hasanuddin, Rossita Shapawi, Ruzaidi Azli Mohd Mokhtar, Wan Norhana Md. Noordin, Masmunira Rambli, Nurul Huda

ASEAN Journal on Science and Technology for Development

Tropical marine fish is a main raw material for surimi processing plants, including golden threadfin bream (Nemipterus virgatus Houttuyn, 1782) and swallowtail dwarf monocle bream (Parascolopsis eriomma Jordan & Richardson, 1909). After processing, more than 60% of fish are considered as byproducts (i.e., head, viscera, skin, bones, fins and scale), and tend to discard due to poor-utilization. Hence, this paper aims to evaluate macro- and micro-nutrients derived from golden threadfin bream (GTB) and swallowtail dwarf monocle bream (SDMB). The higher content of protein (25.31 ± 0.81%) was observed in the skin part of GTB, followed by the flesh (21.26 ± …

Kinetic Modelling During Soaking Of Dried Long Grain Paddy Mr297, Jhauharotul Muchlisyiyah, Rosnah Shamsudin, Roseliza Kadir Basha, Radhiah Shukri, Syahmeer How, Masmunira Rambli

ASEAN Journal on Science and Technology for Development

This study aimed to assess the soaking behaviour of MR 297 dried paddy under two conditions: room temperature and hot water soaking at 60°C. The experiment involved soaking dried MR297 paddy samples in water for 0.5 to 8 hours at room temperature and 0.5 to 5 hours for soaking at 60°C. The water absorption of MR 297 behaved differently at two different soaking conditions. The kinetic behaviour of the soaking process was also simulated using established 25 predictive models and incorporating 5 novel models presented in this work. The comparison of all prediction models involved using three statistical measures: the …

Antioxidant And Antimicrobial Properties Of Yellow Mealworm (Tenebrio Molitor) Protein Concentrates And Hydrolysates Derived From Varied Dietary Regimens, Shyang-Pei Hong, Eng-Tong Phuah, Wey-Lim Wong, Yee-Ying Lee, Teck-Kim Tang, Ali Yassoralipour

ASEAN Journal on Science and Technology for Development

The larval stage of the darkling beetle, Tenebrio molitor, often referred to as the yellow mealworm, has received significant attention as a promising source of high-quality protein for human consumption due to its exceptional nutritional profile. This study focused on assessing the antioxidant and antimicrobial activities of protein concentrates and hydrolysates obtained from mealworm specimens raised under distinct dietary conditions. One cohort of mealworms was sustained on food waste comprising rice bran, milled corn, and carrots (self-bred) (SM), while another group was exclusively provided with rice bran (commercially fed) (CM). Enzymatic hydrolysis of mealworm protein was accomplished using protease enzymes …

Release Behavior Of Butterfly Pea Anthocyanins From Sago Starch Micro-Composite Films Under Food Stimulants, Afiqah Nabihah Ahmad, Eng Tong Phuah, Namasivayam Navaranjan, Syazana Abdullah Lim

ASEAN Journal on Science and Technology for Development

This study investigates the release behaviour of Butterfly Pea (BP) anthocyanins from Sago starch micro-composite (SMC) films in the presence of food stimulants. To comprehensively describe the release profiles of BP from SMC, six well-established kinetic release models were employed which includes Korsmeyer-Peppas, zero-order, first-order, second-order, Higuchi, and Hixson-Crowell models. These models played a crucial role in examining how the release fraction changes over time, facilitating a comprehensive understanding of the release kinetics of BP anthocyanins. Our data analysis revealed a strong conformity with the Korsmeyer-Peppas model, suggesting its applicability in describing the release of BP anthocyanins from SMC. The …

Development Of Halalan Tayyiban Plant-Based Cheese Formulations, Hasna B. Mazalana, Mas M. Rambli, Syazana A. Lim, Beston F. Nore

ASEAN Journal on Science and Technology for Development

The worldwide cheese production is dominated by animal milk sources with various industrial procedures, including animal rennet. There is a need to diversify the animal-based dairy products into plant-based one, not only to nurture the halalan tayyiban concept for Muslims, but also to accommodate the dietary restriction of some consumers. The objective of this work is to formulate a cheese type derived from plant-based milk with permissible ingredients to create a product for Muslim and non-Muslim consumers. In this study, we explored the use of conventional and non-conventional cheese-making procedures. A total of four experimental formulations (EF1-4) combinations were conducted …

Youth Resilience Toward Climate Smart Agriculture Technology Adoption In Brunei Darussalam, Rosita Hassan, Wida S. Suhaili, Beston F. Nore, Mohamad A. Basuni

ASEAN Journal on Science and Technology for Development

Climate change and food security are critical issues to be addressed, nationally and globally, to reach sustainable agricultural development goals to feed the growing human population. The great challenge is to adapt to the climate change and in the meantime increase food production with sustainable farming practices that require farmers to have a paradigm shift toward climate smart agricultural technology (CSAT). Encouraging farmers to adopt and implement CSAT have become a priority for governmental policy making programmes. The question is what are the measures that can be taken for Brunei to leapfrog into this technology bandwagon to revitalise farmers for …

Rice Farmer’S Perception And Factors Influencing Intention And Attitude On Adoption Of Hybrid Rice, Ahmad Mas'oud Muhd Halimi, Ulaganathan Subramanian

ASEAN Journal on Science and Technology for Development

Rice is considered the staple food of Brunei Darussalam, where most rice is imported from different countries. This poses a risk regarding food security wherein an unwanted event of restricted rice importation, Brunei, may experience difficulties. Hybrid rice cultivation is one of Brunei's best food security options. We studied the farmers' attitudes towards mixed rice farming in Brunei. We divided the farmers into two groups for the purpose of our study. Agriculture cooperative members and non-members. For attitude, perceived ease of use positively impacts attitude significantly for member rice farmers, while perceived usefulness positively impacts attitude for non-member rice farmers. …

Innovative Approaches And Challenges In Brunei's Agricultural Management, Nuramalina Manshor, Ulaganathan Subramanian

ASEAN Journal on Science and Technology for Development

The management and development in agriculture attract agricultural economic science for the pricing, business, farm policy, and financial knowledge. It conjointly draws on plant and animal sciences for soil, seed and fertilizer information, weed control, insect management, and rationing and breeding; agricultural engineering knowledge for farmhouses, vehicles, irrigation, field drying, drainage, and management of erosions; and data on human behavior in Science and Social Science.

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 …

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 …

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. …

Does The Foreign Direct Investment In Emerging Asian Countries Get ‘Greased’ Or ‘Sanded’ By Corruption? Evidence From Gets Model, Rainah Ginsad, Imbarine Bujang, Abdul Aziz Karia, Emelia Girau, Siti Rahayu Beli

ASEAN Journal on Science and Technology for Development

Inflows of foreign direct investment (FDI) considerably boost industrialization and economic growth in emerging economies. Corruption, human capital, and the economic environment are just a few factors mentioned in the literature as influencing FDI inflow. The impact of corruption on FDI, whether FDI is greased or sanded by corruption, has received greater interest in recent empirical study. This study analysed the impact of the Corruption Perception Index (CPI) on foreign direct investment (FDI) in selected Asian emerging economies. Utilising annual panel data covering 22 selected Asian emerging economies, this study uses the General-to-specific (GETS) model to analyse the impact. The …

Comparison Between Two Global Models Approaches For He + H2o Atmospheric Pressure Radio-Frequency Capacitive Discharges, Osama Ahmed Shabaek, Farouk Fahmi Elakshar, Osama Mohamed Yassin

Al-Azhar Bulletin of Science

In the present paper, we have proposed a chemical kinetic global model to simulate discharge systems with He, working gas, in the existence of different humidity levels. Comparing model results and simulation and experiment in literature establishes satisfaction of model results in qualitative and quantitative levels. The effect of varying model input parameters on densities of OH, H2O2, and HO2 has been investigated. Rising input power increases the yield of the system but raising it over 2W has a minor benefit. Keeping the gas temperature at 300 K has a negligible effect on yield of OH and H2O2 and small …

Circular Economy: The 4rs Reduce-Reuse-Recycle-Recover, Kevin Hom

Publications and Research

This article summarizes the lecture presented at the Net Built 2024 conference. The lecture addresses the unsustainability of the current linear economy, characterized by the "take, make, dispose" model, in light of environmental challenges. The inefficiencies of this system lead to increased energy consumption, elevated CO2 emissions, and the exacerbation of climate change. It examines the current state of design and construction with respect to climate change and sustainable resource management. Additionally, the lecture introduces a methodology that integrates technologies and design philosophies capable of driving significant positive change. By advocating for a transformative approach to the expected lifetime of …

Statically Controlled Synchronized Lane Architectures, Scott K. Pomerville

Dissertations, Master's Theses and Master's Reports

Modern superscalar processors dominate the field of computing. While dynamic execution allows for versatility in code, these processors are complex. Statically scheduled code has historically enabled simpler processor designs, but static scheduling cannot account for variables that are unknown at compile time. Furthermore, static scheduling has many inefficiencies, such as the need to insert a large number of nops for code in traditional Very Long Instruction Word (VLIW) processors. In this dissertation, we explore a novel architectural approach for statically scheduled code by breaking the code into several synchronous instruction streams. By representing code in a fundamentally new way, we …

Hydrologic Pathways Of A Northern Hardwood Catchment In The Great Lakes Basin Using End Member Mixing Analysis, Cory C. Burkwald

Dissertations, Master's Theses and Master's Reports

This study investigated the seasonality of hydrologic pathways, the role of wetlands in streamflow generation, and how hydrologic pathways affect the export of nutrients by streamflow in the Sturgeon River using endmember mixing analysis. The results indicated that streamflow consists of three main components: shallow subsurface water from wetland soils, shallow groundwater, and surface runoff from precipitation. Snowmelt plays a dominating role in regulating stream water chemistry (~80% volume at peak) during the snowmelt season and likely also after that. Wetland soils store snowmelt, together with rainwater though the fraction is unknown, and then gradually release through summer in the …

Structural And Functional Studies Of The Human Members Of The Macrophage Migration Inhibitory Factor Family, Andrew Parkins

University of the Pacific Theses and Dissertations

Macrophage migration inhibitory factor (MIF) and D-dopachrome tautomerase (D-DT) are the two human members of the MIF superfamily, which are implicated in an array of autoimmune disorders, inflammatory diseases, and cancer via their pleiotropic functionality. Despite only sharing 34% sequence identity, MIF and D-DT have high structural homology and overlapping functional traits, including activation of the type II cell surface receptor CD74 and keto-enol tautomerase activity. The MIF and/or D-DT-induced activation of CD74 leads to signaling cascades pivotal for cell growth, proliferation, and inhibition of apoptosis. Such characteristics make MIF and D-DT attractive molecular targets for drug discovery.

Currently, all …

Sequential Infiltration Synthesis Of Silicon Dioxide In Polymers With Ester Groups─Insight From In Situ Infrared Spectroscopy, Mahua Biswas, Vepa Rozyyev, Anil U. Mane, Amelia Korveziroska, Uttam Manna, Jeffrey W. Elam

Faculty publications – Physics

New strategies to synthesize nanometer-scale silicon dioxide (SiO2) patterns have drawn much attention in applications such as microelectronic and optoelectronic devices, membranes, and sensors, as we are approaching device dimensions shrinking below 10 nm. In this regard, sequential infiltration synthesis (SIS), a two-step gas-phase molecular assembly process that enables localized inorganic material growth in the targeted reactive domains of polymers, is an attractive process. In this work, we performed in situ Fourier transform infrared spectroscopy (FTIR) measurements during SiO2 SIS to investigate the reaction mechanism of trimethylaluminum (TMA) and tri(tert-pentoxy) silanol (TPS) precursors with polymers having ester functional groups (poly(methyl …

Diastereoselective Synthesis Of The Hiv Protease Inhibitor Darunavir And Related Derivatives Via A Titanium Tetrachloride-Mediated Asymmetric Glycolate Aldol Addition Reaction, Jordan M. Witte, Emmanuel Ayim, Christopher J. Sams, Jasmine B. Service, Caitlyn C. Kant, Lillian Bambalas, Daniel Wright, Austin Carter, Kelly Moran, Isabella G. Rohrig, Gregory M. Ferrence, Shawn R. Hitchcock

Faculty Publications – Chemistry

Darunavir is a potent HIV protease inhibitor that has been established as an effective tool in the fight against the progression of HIV/AIDS in the global community. The successful application of this drug has spurred the development of derivatives wherein strategic regions (e.g., P1, P1’, P2, and P2’) of the darunavir framework have been structurally modified. An alternate route for the synthesis of darunavir and three related P1 and P1’ derivatives has been developed. This synthetic pathway involves the use of a Crimmins titanium tetrachloride-mediated oxazolidine-2-thione-guided asymmetric glycolate aldol addition reaction. The resultant aldol adduct introduces the P1 fragment of …

A Data-Driven Machine Learning Approach For Electron-Molecule Ionization Cross Sections, Allison Harris, Josh Nepomuceno

Faculty publications – Physics

Despite their importance in a wide variety of applications, the estimation of ionization cross sections for large molecules continues to present challenges for both experiment and theory. Machine learning (ML) algorithms have been shown to be an effective mechanism for estimating cross section data for atomic targets and a select number of molecular targets. We present an efficient ML model for predicting ionization cross sections for a broad array of molecular targets. Our model is a 3-layer neural network that is trained using published experimental datasets. There is minimal input to the network, making it widely applicable. We show that …

Antibody-Driven Assembly Of Plasmonic Core–Satellites To Increase The Sensitivity Of A Sers Vertical Flow Immunoassay, Eunice Ebbah, Anthony Amissah, Jun-Hyun Kim, Jeremy D. Driskell

Faculty Publications – Chemistry

Here, we describe a SERS-based vertical flow assay as a platform technology suitable for point-of-care (POC) diagnostic testing. A capture substrate is constructed from filter paper embedded with spherical gold nanoparticles (AuNPs) and functionalized with an appropriate capture antibody. The capture substrate is loaded into a filtration device and connected to a syringe to rapidly and repeatedly pass the sample through the sensor for efficient antigen binding. The antigen is then labeled with a SERS-active detection probe. We show that only a few Raman reporter molecules, exclusively located adjacent to the plasmonic capture substrate, generate detectible signals. To maximize the …

Immobilization Of Thiol-Modified Horseradish Peroxidase On Gold Nanoparticles Enhances Enzyme Stability And Prevents Proteolytic Digestion, Faith E. Breausche, Annelise Somerlot, Jason Walder, Kwame Osei, Samuel Okyem, Jeremy D. Driskell

Faculty Publications – Chemistry

The specificity and efficiency of enzyme-mediated reactions have the potential to positively impact many biotechnologies; however, many enzymes are easily degraded. Immobilization on a solid support has recently been explored to improve enzyme stability. This study aims to gain insights and facilitate enzyme adsorption onto gold nanoparticles (AuNPs) to form a stable bioconjugate through the installation of thiol functional groups that alter the protein chemistry. In specific, the model enzyme, horseradish peroxidase (HRP), is thiolated via Traut’s reagent to increase the robustness and enzymatic activity of the bioconjugate. This study compares HRP and its thiolated analog (THRP) to deduce the …

Quantum Interference Enhancement Of The Spin-Dependent Thermoelectric Response, Runa X. Bennett, Joshua R. Hendrickson, Justin P. Bergfield

Faculty publications – Physics

We investigate the influence of quantum interference (QI) and broken spin-symmetry on the thermoelectric response of node-possessing junctions, finding a dramatic enhancement of the spin-thermopower (Ss), figure-of-merit (ZsT), and maximum thermodynamic efficiency (ηsmax) caused by destructive QI. Using many-body and single-particle methods, we calculate the response of 1,3-benzenedithiol and cross-conjugated molecule-based junctions subject to an applied magnetic field, finding nearly universal behavior over a range of junction parameters with Ss, ZsT, and reaching peak values of 2𝜋/ √3(𝑘/𝑒)2𝜋/3(𝑘/𝑒), 1.51, and 28% of Carnot efficiency, respectively. We also find that the …

A Technical Perspective On Integrating Artificial Intelligence To Solid-State Welding, Sambath Yaknesh, Natarajan Rajamurugu, Prakash K. Babu, Saravanakumar Subramaniyan, Sher A. Khan, C. Ahamed Saleel, Mohammad Nur-E-Alam, Manzoore E. M. Soudagar

Research outputs 2022 to 2026

The implementation of artificial intelligence (AI) techniques in industrial applications, especially solid-state welding (SSW), has transformed modeling, optimization, forecasting, and controlling sophisticated systems. SSW is a better method for joining due to the least melting of material thus maintaining Nugget region integrity. This study investigates thoroughly how AI-based predictions have impacted SSW by looking at methods like Artificial Neural Networks (ANN), Fuzzy Logic (FL), Machine Learning (ML), Meta-Heuristic Algorithms, and Hybrid Methods (HM) as applied to Friction Stir Welding (FSW), Ultrasonic Welding (UW), and Diffusion Bonding (DB). Studies on Diffusion Bonding reveal that ANN and Generic Algorithms can predict outcomes …

Expanding Australia's Defence Capabilities For Technological Asymmetric Advantage In Information, Cyber And Space In The Context Of Accelerating Regional Military Modernisation: A Systemic Design Approach, Pi-Shen Seet, Anton Klarin, Janice Jones, Michael N. Johnstone, Violetta Wilk, Stephanie Meek, Summer O'Brien

Research outputs 2022 to 2026

Introduction. The aim of the project was to conduct a systemic design study to evaluate Australia'sopportunities and barriers for achieving a technological advantage in light of regional military technological advancement. It focussed on the three domains of (1) cybersecurity technology, (2) information technology, and (3) space technology.

Research process. Employing a systemic design approach, the study first leveraged scientometric analysis, utilising informetric mapping software (VOSviewer) to evaluate emerging trends and their implications on defence capabilities. This approach facilitated a broader understanding of the interdisciplinary nature of defence technologies, identifying key areas for further exploration. The subsequent survey study, engaging 828 …

Cyberbullying Text Identification: A Deep Learning And Transformer-Based Language Modeling Approach, Khalid Saifullah, Muhammad Ibrahim Khan, Suhaima Jamal, Iqbal H. Sarker

Research outputs 2022 to 2026

In the contemporary digital age, social media platforms like Facebook, Twitter, and YouTube serve as vital channels for individuals to express ideas and connect with others. Despite fostering increased connectivity, these platforms have inadvertently given rise to negative behaviors, particularly cyberbullying. While extensive research has been conducted on high-resource languages such as English, there is a notable scarcity of resources for low-resource languages like Bengali, Arabic, Tamil, etc., particularly in terms of language modeling. This study addresses this gap by developing a cyberbullying text identification system called BullyFilterNeT tailored for social media texts, considering Bengali as a test case. The …

Multimodal Fusion For Audio-Image And Video Action Recognition, Muhammad B. Shaikh, Douglas Chai, Syed M. S. Islam, Naveed Akhtar

Research outputs 2022 to 2026

Multimodal Human Action Recognition (MHAR) is an important research topic in computer vision and event recognition fields. In this work, we address the problem of MHAR by developing a novel audio-image and video fusion-based deep learning framework that we call Multimodal Audio-Image and Video Action Recognizer (MAiVAR). We extract temporal information using image representations of audio signals and spatial information from video modality with the help of Convolutional Neutral Networks (CNN)-based feature extractors and fuse these features to recognize respective action classes. We apply a high-level weights assignment algorithm for improving audio-visual interaction and convergence. This proposed fusion-based framework utilizes …

Development Of A Regional Climate Change Model For Aedes Vigilax And Aedes Camptorhynchus (Diptera: Culicidae) In Perth, Western Australia, Kerry Staples, Peter J. Neville, Steven Richardson, Jacques Oosthuizen

Research outputs 2022 to 2026

Mosquito-borne disease is a significant public health issue and within Australia Ross River virus (RRV) is the most reported. This study combines a mechanistic model of mosquito development for two mosquito vectors; Aedes vigilax and Aedes camptorhynchus, with climate projections from three climate models for two Representative Concentration Pathways (RCPs), to examine the possible effects of climate change and sea-level rise on a temperate tidal saltmarsh habitat in Perth, Western Australia. The projections were run under no accretion and accretion scenarios using a known mosquito habitat as a case study. This improves our understanding of the possible implications of sea-level …

Malware Detection With Artificial Intelligence: A Systematic Literature Review, Matthew G. Gaber, Mohiuddin Ahmed, Helge Janicke

Research outputs 2022 to 2026

In this survey, we review the key developments in the field of malware detection using AI and analyze core challenges. We systematically survey state-of-the-art methods across five critical aspects of building an accurate and robust AI-powered malware-detection model: malware sophistication, analysis techniques, malware repositories, feature selection, and machine learning vs. deep learning. The effectiveness of an AI model is dependent on the quality of the features it is trained with. In turn, the quality and authenticity of these features is dependent on the quality of the dataset and the suitability of the analysis tool. Static analysis is fast but is …

Pdf Malware Detection: Toward Machine Learning Modeling With Explainability Analysis, G. M.Sakhawat Hossain, Kaushik Deb, Helge Janicke, Iqbal H. Sarker

Research outputs 2022 to 2026

The Portable Document Format (PDF) is one of the most widely used file types, thus fraudsters insert harmful code into victims' PDF documents to compromise their equipment. Conventional solutions and identification techniques are often insufficient and may only partially prevent PDF malware because of their versatile character and excessive dependence on a certain typical feature set. The primary goal of this work is to detect PDF malware efficiently in order to alleviate the current difficulties. To accomplish the goal, we first develop a comprehensive dataset of 15958 PDF samples taking into account the non-malevolent, malicious, and evasive behaviors of the …