Digital Commons Network^™

The Catalytic Tool To Assess Feasibility Of Implementing Evidence-Based Interventions For Cardiovascular Diseases In 46 Low- And Middle-Income Countries: Survey Outcomes And Tool Reliability Testing, Temitope Ojo, Hanan Yassin, Esther Sowunmi, Tania Hameed, Nessa Ryan, Joyce Gyamfi, Donna Shelley, Olugbenga Ogedegbe, Emmanuel Peprah

2020-Current year OA Pubs

BACKGROUND: Evidence-based interventions (EBI) for cardiovascular disease (CVD) in low- and middle-income countries (LMIC) may face feasibility challenges due to the inadequacy of existing instruments. To address this, researchers developed the Contextual Index of Feasibility on Early-Stage Implementation in LMIC (CATALYTIC) tool, which integrates contextual factors into the assessment of feasibility.

METHODS: The tool's items were developed through a systematic review and key informant interviews, and were later assessed for relevance and importance by 13 LMIC researchers and implementers employing a Delphi technique. The survey was then tested for usability by five individuals with CVD experience in LMIC. The CATALYTIC …

Co-Designing A Mobile Application To Reduce Self-Stigma For People With Opioid Use Disorder During Pregnancy And The Postpartum Period, Bailey W Osweiler, Thue Rammaha, Hannah S Szlyk, Nathaniel A Dell, Jushawn Macon, Nicholas C Jacobson, Casey Burley, Micah Goodman, Patricia A Cavazos-Rehg, Alex T Ramsey

2020-Current year OA Pubs

AIMS: Pregnant and postpartum individuals (PPI) face unique challenges to recovery from opioid use disorder (OUD), including stigma from self and others.

METHODS: In this fully-remote study, participants provided human-centered design feedback in semi-structured interviews at 1-month to guide adaptations. Participants also completed structured questionnaires including validated measures of self-stigma at baseline, 1-month, and 2-month follow-ups and technology acceptance at 1-month and 2-month follow-ups. Paired samples t-tests determined whether differences existed between baseline and 2-month self-stigma and between 1-month and 2-month technology acceptance.

RESULTS: Twenty PPI (40% pregnant, 60% postpartum) representing diverse geographic U.S. regions used

CONCLUSIONS: These results support …

Efficient Gba1 Editing Via Hdr With Ssodns By Outcompeting Pseudogene-Mediated Gene Conversion Upon Crispr/Cas9 Cleavage, Joseph S Lagas, Monica F Sentmanat, Xiaoxia Cui

2020-Current year OA Pubs

INTRODUCTION: CRISPR/Cas9-edited induced pluripotent stem cells (iPSCs) are valuable research models for mechanistic studies. However, gene conversion between a gene-pseudogene pair that share high sequence identity and form direct repeats in proximity on the same chromosome can interfere with the precision of gene editing. Mutations in the human beta-glucocerebrosidase gene (GBA1) are associated with Gaucher disease, Parkinson's disease, and Lewy body dementia. During the creation of a GBA1 KO iPSC line, we detected about 70% gene conversion from its pseudogene GBAP1. These events maintained the reading frame and resulted from GBA1-specific cleavage by CRISPR/Cas9, without disrupting the GBA1 gene.

METHOD: …

Reporting Of Immune-Related Adverse Events In Us Food And Drug Administration Approvals Of Immune Checkpoint Inhibitors, Shaili Tapiavala, Chongliang Luo, Mina Shenouda, Vaibhav Patel, Andrew A Davis

2020-Current year OA Pubs

BACKGROUND: Predicting the occurrence of immune-related adverse events (irAEs) related to immune checkpoint inhibitors (ICI) is complex. Monitoring of irAEs is critical as toxicities cause morbidity and impact quality of life. Thus, we systematically evaluated the patterns and consistency of irAEs reporting in trials leading to US Food and Drug Administration (FDA) ICI approvals.

METHODS: We evaluated 75 primary articles from 2011-2021. The authors independently collected data regarding reporting frequency as a binary classification of reported versus not reported and irAE frequency of 24 irAEs classified by the National Comprehensive Cancer Network Version 1.2024 guidelines. Reporting trends and irAE events …

Speech Pattern Disorders In Verbally Fluent Individuals With Autism Spectrum Disorder: A Machine Learning Analysis, Chuanbo Hu, Jacob Thrasher, Wenqi Li, Mindi Ruan, Xiangxu Yu, Lynn K Paul, Shuo Wang, Xin Li

2020-Current year OA Pubs

INTRODUCTION: Diagnosing Autism Spectrum Disorder (ASD) in verbally fluent individuals based on speech patterns in examiner-patient dialogues is challenging because speech-related symptoms are often subtle and heterogeneous. This study aimed to identify distinctive speech characteristics associated with ASD by analyzing recorded dialogues from the Autism Diagnostic Observation Schedule (ADOS-2).

METHODS: We analyzed examiner-participant dialogues from ADOS-2 Module 4 and extracted 40 speech-related features categorized into intonation, volume, rate, pauses, spectral characteristics, chroma, and duration. These acoustic and prosodic features were processed using advanced speech analysis tools and used to train machine learning models to classify ASD participants into two subgroups: …

Religious Factors Predict Support For Genomic Medicine More Strongly Than Politics, Education, Or Trust: A Survey Of 4,939 Adults In The United States, James M Dubois, Eu Gene Chin, Erin D Solomon, Jenine K Harris, Peter Hill, Kari Baldwin, Lauren L Baker

2020-Current year OA Pubs

BACKGROUND: Religious affiliation and attendance at services is associated with lower levels of support for some genomic activities, such as genetic testing. However, little is known about why or how religion shapes attitudes toward genomics.

MATERIALS AND METHODS: We conducted a cross-sectional survey with 4,939 participants representative of nine religious groups in the US (including atheist and agnostic). The survey examined (a) attitudes toward diverse activities associated with genomic medicine, (b) religious beliefs and practices, (c) control variables including trust in the healthcare system and knowledge of genetics, and (d) demographics. We examined differences between groups using an Analysis of …

Treatment Of Ovarian Clear Cell Carcinoma: A Case Of Successful Management With Targeted Therapies., Sydney Pence, Kellie Rath, Aine Clements

Women’s Health Articles

No abstract provided.

Justice And Law, Saul M. Kassin, Amy Douglass

All Faculty Scholarship

No abstract provided.

“Forced Migrants,” Human Rights, And “Climate Refugees”, Michael W. Doyle

Faculty Scholarship

Capital, goods, and people are more mobile than ever in our globalized world. Yet the movement of people across borders is still a largely unregulated enterprise at the global level that leaves many people unprotected in irregular and dire situations. International mobility – the movement of individuals across borders for any length of time as labor migrants, entrepreneurs, students, tourists, asylum seekers, or refugees – has no common definition or legal framework.

The absence of concerted global regime for international mobility, unlike the regimes for trade (World Trade Organization), finance (International Monetary Fund), and development funding (World Bank and regional …

Impact Of Color, Shape, And Typeface On Visual Attention: An Eye Tracking Study On Brand Logo, Suzayana Rosidah, Fransiskus Xaverius Ivan, Suatmi Murnani, Hafzatin Nurlatifa, Kristian Adi Nugraha, Sunu Wibirama

ASEAN Journal on Science and Technology for Development

In numerous cases, companies undertake logo redesigns to enhance brand perception. However, little attention has been paid to the impact of each element of the redesigned logo on visual attention and brand perception. To address this research gap, we collected data from eye tracking and self-report questionnaires of 30 participants during exposure to the old and new logos of a prominent bookstore in Indonesia. The results of the questionnaires revealed a significant relationship between the responses concerning color, shape, typeface, and those pertaining to visual attention (p < 0.05). Most participants were able to grasp the value of creativity, flexibility, progress, change, and strength in the new logo shape. The results of eye tracking show that color was the most influential factor that attracted visual attention in old (F(1.5, 43.4) = 14.905, p < 0.05) and new logos (F(1.7, 50) = 34.757, p < 0.05). This study suggests that companies should selectively choose a color scheme of a logo that better attracts the attention of consumers. In addition, our finding is promising as a practical guide for similar research, as well as a case study on how logo redesign affects brand perception and visual attention.

Minimizing Cpu Utilization For Job Scheduling Problems By The Advanced Round Robin Method: A Pragmatic Perspective, Haribhau R Bhapkar, Pankaj R Chandre, Parikshit Mahalle

ASEAN Journal on Science and Technology for Development

CPU scheduling issues include minimizing waiting time for processes, ensuring fairness in resource allocation, and optimizing throughput. Balancing these objectives can be challenging, as improving one aspect may negatively impact another, making it essential to design efficient scheduling algorithms. This work presents an innovative approach to enhance CPU utilization through the development of a Result-Based Round Robin Scheduling Algorithm. Traditional Round Robin Scheduling methods often face challenges in efficiently allocating CPU time, leading to suboptimal system performance. In response to these limitations, the proposed method introduces a result-oriented strategy that dynamically adjusts time quantum allocations based on the execution progress …

Engineering Geological And Groundwater Mapping Of Negara Brunei Darussalam For Urban Planning, Nur Thaqifah Junaidi, Siti Lieyana Azffri, Afiq Aiman Jaya, Muhammad Asri Akmal Suhip, Stefan Herwig Gödeke

ASEAN Journal on Science and Technology for Development

Engineering geology and Hydrogeology play a crucial role in the development of urban areas. Without a thorough geological and hydrogeological understanding, urban development can be risky and prone to numerous challenges. In this study, we aim to conduct engineering geological and groundwater mapping of Brunei utilizing data from 614 sacrificial investigative boreholes drilled over the course of 40 years for geotechnical investigation and housing development. Borehole parameters such as soil data, SPT N-values, depth to groundwater and surface elevation were gathered and evaluated. Soil investigation in the study area revealed predominantly clayey sediments with SPT N-values ranging from 0 to …

Effect Of Build Orientation On Tensile Properties And Fractography Of Additive Manufactured Inconel 718 Alloy, Ajay Kumar Maurya, Amit Kumar, Swarnambuj Suman

ASEAN Journal on Science and Technology for Development

The additive manufacturing (AM) technique “Direct Metal Laser Sintering (DMLS)” is used to create 3D objects directly from 3D design data. A lightweight and complexity-free part without any expensive tooling can be fabricated easily using this method, but it is still challenging to achieve the desired mechanical strength from AM parts, as the mechanical properties of AM-produced parts vary with orientation, scan strategy, and process parameters. Inconel 718 alloy is most commonly utilized in the aerospace and automotive industries, because of its high resistance to corrosion and excellent mechanical qualities. This work presents a study to investigate the orientation-based mechanical …

Regulation Of Haemodynamic Variables By Laguerre Polynomials Based Model Predictive Control., Sai Sandeep Boda, Hiren Kumar G. Patel, Khyati D. Mistry

ASEAN Journal on Science and Technology for Development

Purpose: Cardiac output (CO) and Mean Arterial Pressure (MAP) are two haemodynamic variables that need regulation in clinical situations, particularly in post-cardiac surgery patients. As it is difficult for clinical personnel to monitor continuously, automatic drug infusion to regulate MAP and CO is recommended and essential in the medical environment. Methods: Two input and two output patient model was used in this work to study the variation of haemodynamic variables in response to the infusion of Dopamine (DP) and Sodium Nitroprusside (SNP) drugs. Model predictive control (MPC) algorithm was exercised here as it was a well-established technique to regulate output …

From Theory To Practice: Simulating Zero Trust Architecture With Python For Cybersecurity, Pankaj R. Chandre, Bhagyashree D. Shendkar, Sulochana Sagar Madachane, Nikita Kulkarni, Sayalee Deshmukh

ASEAN Journal on Science and Technology for Development

The increasing complexity and frequency of cyber threats have necessitated the adoption of advanced security models, such as Zero Trust Architecture (ZTA). ZTA runs on the tenet that no entity whether inside or outside the network should be trusted by default, in contrast to conventional perimeter-based security solutions. This paper describes a thorough method for simulating and implementing Zero Trust Architecture in Python. We examine the essential elements and procedures of ZTA, such as identity verification, access control, and continuous monitoring, through a thorough analysis and step-by-step manual. The simulation shows how ZTA works to ensure strong network security and …

Distance Metric Learning Techniques For The Performance Improvement Of Ml-Knn And Ranking-Svm-Based Multi-Label Pattern Classification, Shajee Mohan B. S., Sneha S Mohan

ASEAN Journal on Science and Technology for Development

A multi-label pattern classification system tries to predict the set of class labels of a test example by learning from the training examples with the relevant label sets. Classification that involve datasets having multiple labels found immense of applications in pattern analysis tasks involving image, music and video. A test sample can be labeled to indicate different objects, people, music categories or concepts. Classification problems involving data having multiple labels, have to consider training dataset associated with variety of labels. Multi-label extensions of popular algorithms, kNN and Support Vector Machine (SVM) called Multi-label kNN (ML-kNN) and Ranking-SVM are commonly used …

Solid Waste Management Strategies In Coastal Areas Affected By Seawater Flood Disaster, Adib Khoirul Anas, Maryono Maryono, Hartuti Purnaweni

ASEAN Journal on Science and Technology for Development

Solid waste in areas affected by seawater floods must be handled specifically because people often dispose of solid waste on flooded land. This research aims to identify the performance of the community to manage solid waste and solid waste management strategy, solid waste measurement using SNI method 19-3964-1994. Analysis of land affected by seawater floods shows that 12 villages are flooded. Communities in coastal areas are not optimal in managing solid waste because the government has never given directions to manage solid waste in a good way, the facilities and marketing are inadequate so that solid waste is often not …

Neuro-Symbolic Ai: A Future Of Tomorrow, Pankaj Chandre, Parikshit Mahalle, Gitanjali Shinde, Bhagyashree Shendkar, Shraddha Kashid

ASEAN Journal on Science and Technology for Development

Neuro-Symbolic AI: A Future of Tomorrow" explores the convergence of neural learning and symbolic reasoning to advance artificial intelligence (AI) systems. Symbolic reasoning makes use of knowledge representation techniques and rule-based systems, whereas neural learning analyzes data using deep learning models. AI becomes more adept at fusing data-driven insights with deductive reasoning when these methods are integrated using hybrid models and differentiable reasoning techniques. Applications show enhanced diagnostic precision and decision-making skills in a variety of industries, including robotics, healthcare, and finance. To promote responsible AI development, regulatory frameworks and ethical principles address issues like bias and transparency. Future paths …

The Influence Of The Digital Economy On The Ecological Environment And Its Sustainable Development, Xinpan Lyu, Jianhua Dai

ASEAN Journal on Science and Technology for Development

This study aims to examine the impact of the digital economy on ecological sustainability and its development in China from 2000 to 2022. The study focuses on the role of innovation in the digital sector, where the adoption of big data technologies is considered, with reference to sustainable development, from an environmental perspective. A dynamic threshold model and, in particular, the Iterated Generalized Least Squares (IGLS) technique is used to analyze the given data.The research reveals a significant link between adopting digital technologies and managing environmental sustainability efficiently. To investigate the interconnection between the digital economy and ecological goals, it …

Exploring Dynamics And Effective Strategies For Tidal Flood Risk Reduction In Indonesia's Coastal Cities, Satria Yudha Adhitama, Diana Puspitasari, Lucia Sandra Budiman, Azis Musthofa

ASEAN Journal on Science and Technology for Development

Indonesia’s coastal regions have distinct charateristics. However, nearly all of these coastal regions are vulnerable to tidal floods. The purpose of this study is to determine the features of coastal regions in Indonesia that have been damaged by tidal floods, as well as the actions implemented to mitigate disaster risk. Thus study takes a qualitiative method with explanatory analysis. The Island Spatial Planning is used to classify Indonesia’s archipelagic regions.An urban area vulnerable to tidal flood was selected from each archipelagic region. The characteristics of coastal regions affected by tidal flood were identified by the tidal flood characteristics, coastal physiography. …

Wind Speed Forecasting: A Comparative Study Of Decomposition Techniques, Manisha Galphade, V.B. Nikam, Nilkamal More, Biplab Banerjee, Arvind W. Kiwelekar, Priyanka Sharma

ASEAN Journal on Science and Technology for Development

Renewable energy is sourced from natural resources that are continually available. Wind energy is a main category of renewable energy, which largely depends on wind speed. Accurate wind speed forecasting is essential for incorporating renewable energy into the electrical grid. Moreover, it is crucial to ensure the safety of wind turbines by anticipating extreme weather conditions and implementing necessary precautions. Predicting wind speed presents several challenges because of dynamic and complex nature of atmospheric conditions. Traditional methods for wind speed forecasting, such as statistical models and basic physical approaches, often face limitations in accuracy, flexibility, and handling of complex data …

Potential Of Green Synthesis Of Silver And Gold Nanoparticles For The Management Of Metabolic Associated Steatotic Liver Disease: A Mini Review, Atiqah Suhaili, Ya Chee Lim, Mei Ann Lim, Lee Hoon Lim, Mohammad Mansoob Khan, Monowarul Mobin Siddique

ASEAN Journal on Science and Technology for Development

Metabolic-associated steatotic liver disease is a metabolic disorder with limited pharmacological treatment options and only one approved medication to date. MASLD can be asymptomatic in its earlier stage and hence, prevention of this disease progression is the most effective approach. Recently, green-synthesized nanoparticles, particularly silver (AgNPs) and gold nanoparticles (AuNPs), have gained interest due to their eco-friendly production, biocompatibility, and bioactive properties. This review highlights the biosynthesis of AgNPs and AuNPs using medicinal plant extracts and their reported biological effects relevant to MASLD management including anti-hyperlipidemic, anti-diabetic, antioxidant and anti-inflammatory activities. While findings are promising, further mechanistic studies and preclinical …

Improving Ethanol Purity By Methanol Adsorption Using Mcm-41: A Study Of Kinetics And Thermodynamics For Industrial Applications, Ali A. Yahya, Nisreen S. Ali, Basma B. Hameed, Talib M. Albayati, Issam K. Salih, Riyadh S. Almukhtar, Narges Elmi Fard

ASEAN Journal on Science and Technology for Development

One of the by-products of the fermentation process that produces ethanol, which is mostly utilized in industry and food, is methanol. For methanol adsorption in batch operations, mixed amines modified (MCM-41) was utilized. A batch adsorption technique loaded with MCM-41 sorbent was used in the study to separate methanol from ethanol. This study used methanol at varying initial concentrations (40-80 mg/L). As a result, the effect of temperature, duration of adsorption, amount of adsorbent and initial concentration of pollutant in the field of ethanol alcohol purification using MCM-41 was investigated through the adsorption mechanism. In addition, first and pseudo-second order …

Analysis Of Sea Level Rise In The Subduction Zone At The Coastal Area Of Selaru Island And Yamdena Island In Tanimbar Islands District, Ibnu A. Azies, Engki A. Kisnarti, Johar Setiyadi, Widodo S. Pranowo

ASEAN Journal on Science and Technology for Development

The phenomenon of sea level rise (SLR) is a global issue affecting coastal areas. This study analyzes SLR and land deformation in the subduction zone of the Tanimbar Islands, specifically the coastal regions of Adaut on Selaru Island and Saumlaki on Yamdena Island. Statistical methods and the CEEMDAN algorithm were used to process data on tides, Sea Level Anomaly (SLA), Sea Surface Temperature (SST), and the influence of the El Niño-Southern Oscillation (ENSO) over 30 years (1993–2022). Additionally, land deformation was analyzed using Sentinel-1A imagery. The results indicate that uplift is more dominant than subsidence, with an average annual uplift …

Snake Optimization Algorithm For Fractional Order Controller In Three-Area Load Frequency Regulation, Shubra Goel, Omveer Singh

ASEAN Journal on Science and Technology for Development

The transition toward renewable energy-dominated power systems have accentuated the intricacies of frequency control, necessitating advanced regulatory mechanisms. This investigation articulates a tri-zonal frequency stabilization approach, employing a hybridized controller that synergizes Fuzzy Fractional-Order PI and Tilt-Integral-Derivative methodologies. The uniqueness of this approach is further amplified by the deployment of the Snake Optimization algorithm for precise parameter tuning. Set within a conventional grid topology integrated with assorted renewable energy sources, the study evaluates the controller’s adaptability and resilience through a series of comprehensive scenario-based analyses.

Leveraging Strategic Information Systems For Competitive Advantage: A Case Study Of Veolia As A Multinational Enterprise, Sohail Nawaz Sabir

ASEAN Journal on Science and Technology for Development

Instead of examining several components that link planning and strategy implementation, researchers have focused on the alignment of IT and business, as well as the Strategic Information Systems Planning (SISP) process. The goal of this study is to examine several approaches that can close the gap between IT project planning and execution. Therefore, the primary objective of the proposed study is to examine SISP implementation strategies that can be theorized in the context of Veolia, a global multinational corporation (MNC). The primary aspects influencing the SISP for this study are the frequency of planning, the function of IT/business managers, assessment …

Numerical And Experimental Investigation Of Mechanical Performance, Interface Pressure Distribution, And Structural Safety Of Glass Fiber-Reinforced Below-Knee Prosthetic Sockets, Saif M. Abbas, Kadhim K. Resan, Mohammed Ali Abdulrehman, Ali M. Flayyih

ASEAN Journal on Science and Technology for Development

In this study, below-knee prosthetic sockets reinforced with glass-fiber composites were investigated experimentally and numerically. In compliance with the ASTM guidelines, two lay-up configurations were constructed and tested for tensile and fatigue strengths. During the gait trials, the F-socket system was used to measure the interface pressure distribution. Stress, deformation, and safety factor responses under physiological loading conditions were simulated using complementary finite element analysis (FEA). With the yield strength, ultimate tensile strength, and fatigue life significantly improved in the reinforced group, the results demonstrated that the 10-layer laminate displayed superior mechanical performance relative to the 8-layer laminate; however, this …

Quality And Safety Analysis Of Integrated Bus Services And Feeder Transport In Surabaya, Indonesia, Desrina Yusi Irawati, Agrienta Bellanov, Armadeo Ruben Canariesa

ASEAN Journal on Science and Technology for Development

The Surabaya city government has developed public transportation through integrated bus services and feeder transport. These transportation systems include Trans Semanggi, Suroboyo Bus, and Wira Wiri Surabaya. The challenge facing these transportation programs is the low level of public participation in using public transportation. This research aims to provide a comprehensive investigation of the perceived service quality of integrated public transportation in Surabaya by combining the RESCA and SERVQUAL frameworks. The study contributes by highlighting service quality gaps across five customized dimensions and offering practical insights to improve user satisfaction and increase public transport usage. Each RESCA dimension incorporates RATER …

Unwritten Rules And Oral Transmission In Architectural Proportion Systems: Case Study Of Bubungan Tinggi House, Huzairin. Muhammad Deddy, Dila Nadya Andini, Rudi Hartono, Anna Oktaviana, Dahliani Dahliani

ASEAN Journal on Science and Technology for Development

The proportional systems in vernacular architecture often exist without formal written codification, raising questions about their transmission across generations. Bubungan Tinggi House which is a replica of the Banjar Kingdom palace was built by Banjarese merchants and aristocrats from the 16th to the 19th centuries, showing a uniform aesthetic quality, which indicates a regularity in the proportions of its form. However, no historical written manuals detailing these proportions are known to exist. To prove the existence of regularity in the Bubungan Tinggi House proportion system, research was conducted by taking 7 Bubungan Tinggi House samples spread across South Kalimantan province, …

Editorial: A Decade Of Apasti – Advancing Regional Prosperity Through Science, Technology And Innovation, Basilios Tsikouras

ASEAN Journal on Science and Technology for Development

A decade after its establishment, APASTI has emerged as a key regional mechanism for promoting science, technology and innovation as drivers of sustainable development, resilience, and shared prosperity in Southeast Asia. This editorial highlights the contributions of APASTI to policy alignment, knowledge exchange, research visibility, and collaborative network-building across ASEAN, while also acknowledging ongoing constraints related to governance, capacity, funding disparities, and uneven regional integration. It introduces a special issue of 14 papers published in AJSTD that collectively evaluate the implementation and impact of APASTI across diverse sectors, including geohazards, energy, materials, health, infrastructure, transport, and information systems. By positioning …