Physical Sciences and Mathematics Commons^™

Molecular Identification To Verify The Existence Of Helicotylenchus Dihystera In Coffee Plants At East Java, Indonesia, Ankardiansyah Pandu Pradana, Toyoshi Yoshiga

ASEAN Journal on Science and Technology for Development

Spiral nematodes Helicotylenchus sp. are known to infect a variety of plants, including coffee. This is in line with the studies and surveys of nematodes in Indonesia. However, to date, there has been no study reporting the nematode with molecular analysis. In this study, we surveyed the nematodes in Arabica coffee plantations in Bondowoso regency – Indonesia. These spiral nematodes were collected in DESS solution for morphological, morphometric and molecular analysis. The morphometric analysis was carried out under an Olympus BH-2 compound microscope with an attached calibrated Toupcam M20 camera. The molecular analysis was performed on the total DNA from …

On-Site Estimation Of Total Sugars In Flavored Milk Using A Glucometer, Erwin Oliver V. Fundador, Karyn Thea E. Rivera, Kriza Faye A. Calumba, Noreen Grace V. Fundador

ASEAN Journal on Science and Technology for Development

Sugar has been linked to obesity and chronic diseases. Unfortunately some "healthy products," such as flavored milk, contain high sugar. In the Philippines, such an issue is made worse by local brands not putting nutritional labels on their products. Thus, a cheap, home-based method to measure total sugars should be beneficial. In this paper, we have shown that after incubation with invertase and lactase, a glucometer can be used to measure total sugars in flavored milk on-site. All experiments except the weighing of invertase and lactose were done in a home setting for actual proof of concept. The total sugar …

Sustainability Innovation, Firm Competitiveness, Export Performance, And Sales Growth: A System Dynamics Approach, Budi Harsanto, Joval Ifghaniyafi Farras, Egi Arvian Firmansyah

ASEAN Journal on Science and Technology for Development

In recent times, the interplay between sustainability innovation, firm competitiveness, export performance, and sales growth has garnered significant attention. Research on sustainable innovation's effects on firm competitiveness, export performance, and sales growth remains limited, especially concerning specific contexts like Halal Micro, Small, and Medium Enterprises (MSMEs). The study proposes to bridge this gap by developing a System Dynamics model that considers firm competitiveness, sales growth, export performance, and sustainable innovation. This research uses the system dynamic method which is carried out in four stages. The first stage, analyzing the system mechanism for sustainable innovation, the second stage, building correlations between …

Technological Advancements In Brunei’S Local Agriculture And Fisheries Companies: An Exploratory Study Based On Field Observations, Muhammad Firdaus Mujibuddin Syah Mustafa, Navaranjan Namasivayam, Hong Shyang Pei, Fatnin Farhanah Alihan, Amni Sahilah Sahrullamzah, Khairina Umairah Takiyaudin

ASEAN Journal on Science and Technology for Development

This exploratory study, through seven field observations and interviews, investigates the technological advancements transforming Brunei's agricultural landscape in pursuit of local production augmentation and self-sufficiency. It confronts challenges with emerging technologies like aquaponics, hydroponics, fertigation systems, closed-house poultry systems, and UV lighting, which hold promise for enhanced farming practices. The research provides a comprehensive assessment of current practices, including livestock management advancements, underscoring their potential to boost productivity, optimize resource use, and promote sustainable agriculture. Furthermore, it discusses the broader implications for industry standards, job employability, and alignment with Brunei's Vision 2035. The findings contribute invaluable insights, advocating for strategic …

Exploring The Impact Of Vented Packaging Configurations On Airflow Patterns And Cooling Consistency For Muskmelons In A Cold Storage Environment, Nur Wafidah Roslan, Namasivayam Navaranjan, Zohrah Sulaiman, Naseem Uddin

ASEAN Journal on Science and Technology for Development

The cooling effect of different vented packaging designs was investigated for packed muskmelons fruits in a commercial cold storage condition. Computational fluid dynamics (CFD) simulation and experiments were used. The airflow pattern, heat transfer and temperature profiles were predicted from simulation and analysed. The CFD results reveal an uneven and low efficient airflow distribution inside a commercially used vented packaging (Box A). This resulted slow cooling of the fruits in Box A. Two newly designed packaging (Box B and Box C) showed better airflow distribution around the fruits and cooled them faster than Box A. The design of Box C …

Evaluation Of Physicochemical Properties Of Chicken Sausages Containing Whey Protein Isolate And Guar Gum, Nur Hamizah Hamid, Namasivayam Navaranjan

ASEAN Journal on Science and Technology for Development

The present work aims to evaluate the physicochemical properties and proximate composition of adding whey protein isolate (WPI) and guar gum (GG) as emulsion gels in chicken sausages formulated with different fat percentages. The fat reduction resulted in products having lower moisture content (p

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 …

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 …

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 …