Biotechnology Commons^™

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 …

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 …

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 …

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.

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 …

The Effect Of Blanching And Steaming Pretreatment On The Quality Of Durian (Durio Zibenthinus Murr.) Seed Flour, Nabilah Daniel, Rosnah Shamsudin, Mohd Sabri Pak Dek, Jhauharotul Muchlisyiyah, Masmunira Rambli

ASEAN Journal on Science and Technology for Development

Durian (Durio zibethinus Murr.), the "King of Fruits," has seeds that offer nutritional benefits, including high fiber for gut health and high protein for muscle growth. However, natural browning enzymes can limit its use in baking. This study investigates the comparative effects of blanching and steaming durations (5, 10, 15, 20, and 25 minutes) on the color and techno-functional properties of durian seed flour (DSF), providing an optimization-based approach rarely reported for this material.. Durian seeds were sourced from various stalls in Malaysia, washed, soaked in 0.6% sodium metabisulfite, and then blanched or steamed for for varying durations as …

Seismic Vulnerability Assessment With Rapid Visual Screening Of Hospital Buildings In Maguindanao Province, Philippines, Ebrahim B. Kayog, Kristine S. Companion, Kenny B. Cantila, Elizabeth Edan M. Albiento

ASEAN Journal on Science and Technology for Development

Hospitals are expected to maintain operations during and after earthquakes, yet many facilities in the Philippines remain structurally and non-structurally vulnerable. This study evaluates the seismic vulnerability of selected public hospitals in Maguindanao Province, located near the Cotabato Trench and the Western Mindanao Fault, using the FEMA P-154 (3rd ed.) Rapid Visual Screening (RVS) Level-1 procedure. Four government hospitals, comprising 53 buildings constructed between 1980 and 2025, were assessed through a systematic visual inspection and review of available secondary records. Basic structural hazard scores were adjusted using FEMA score modifiers (performance modification factors) to compute Final Level-1 scores (Sₗ₁) and …

Assessing The Probable Sources Affecting The Water Quality Index Of The Panch Prayag Belt Of Uttarakhand, India, Debasis Sau, Indranil Mukherjee, Wasim Akram, Kakali Ghosh, Rimi Paul, Reshmi Paul, Athar Akram

ASEAN Journal on Science and Technology for Development

The Water Quality Index (WQI) is an essential metric for evaluating the usability of surface water resources, particularly in ecologically sensitive and high-demand areas like the Panch Prayag belt of Uttarakhand, India. This region, comprising five major pilgrimage towns—Devaprayag, Nandprayag, Vishnuprayag, Karnaprayag, and Rudraprayag—faces seasonal fluctuations in water quality due to both natural and anthropogenic pressures. In this study, water samples were collected from 2021 to 2023 across pre-monsoon, monsoon, and post-monsoon seasons, and the WQI was computed using the Canadian Water Quality Index (CWQI 1.0). Results revealed that WQI values ranged from 36 to 45 across locations and seasons, …

Manure Handling In Circular Farming: An In Vitro Study Of Fermented Poultry Manure As Unconventional Feed For Ruminants, Dimas Hand Vidya Paradhipta, De Lavida Padma Terrakota, Ali Agus, Andriyani Astuti, Viagian Pastawan, Kharisma Taufiqa Hidayah

ASEAN Journal on Science and Technology for Development

The development of the poultry industry must consider the principle of circular economy. Therefore, this study aims to develop a method of fermenting poultry manure as a new, unconventional feed, which can support the model of circular farming. Poultry manure obtained from laying hens was mixed with cassava solid waste at a ratio of 7:3 to maintain proper moisture content. The mixed manure fermented for 14 days into a 30 kg silo in triplicate using different additives, namely Lactiplantibacillus plantarum FNCC 0020 at 1 x 10⁵ cfu/g (LP), Bacillus cereus LS2B as proteolytic bacteria at 1 x …

Numerical Modeling Of Performance And Phenomena In A Single Proton Exchange Membrane Fuel Cell, Doan Nguyen Cong, Hiep Nguyen Ha

ASEAN Journal on Science and Technology for Development

One of the methods to protect our environment is to convert the fuel's chemical energy directly into electricity, bypassing the fuel's combustion process. This method is implemented in devices called fuel cells. Among them, the proton exchange membrane fuel cell (PEMFC) is widely used in practice because it has outstanding advantages such as high power density and efficiency, low operating temperature and noise, compactness, fast start-up, and, most importantly, only releases water, entirely safe for the environment. The paper presents a method for selecting materials for manufacturing PEMFC components, making a single PEMFC model based on the materials chosen, then …

Longitudinal And Ensemble Modeling Of Beef Cattle Feed And Water Intakes, Nathan El Blake

Graduate Theses, Dissertations, and Problem Reports (ETD)

Beef cattle production remains a cornerstone of global food systems, providing highly bioavailable protein and essential micronutrients that are difficult to secure from plant-based foods alone. Yet this production is also resource-intensive, requiring substantial land, feed, and water inputs while contributing significantly to greenhouse gas emissions. Efficiency of dry matter intake (DMI) and water intake (WI) is central to both productivity and sustainability, but accurate measurement of these traits—particularly in grazing systems—remains a major limitation. National WI standards continue to rely on pen-level data collected in the 1950s, while most existing DMI prediction equations perform poorly when applied beyond the …

Enhancing The Mechanical Properties Of Sla 3d-Printed Bio-Resin From Linseed Oil Using Cellulose And Lignin Biopolymers, Chukwunonso A. Ikedionu

College of Graduate Studies: Theses & Dissertations

Abstract

This research explores the development of bio resin from linseed oil by the process of epoxidation and acrylation to produce acrylated epoxidized linseed oil (AELO). Lignin and cellulose biopolymers were added as reinforcement at varying weight fractions of 1 wt.%, 2.5 wt.%, and 5 wt.%, and their mechanical performance was compared against pure AELO. The formulations were printed using an Elegoo SLA 3D printer to create standardized test specimens like tensile bars, compression cylinders, and hardness blocks, which were all prepared according to the ASTM testing standard.

The results indicate that reinforcement effects depend on both filler type and …

Development Of Dna Nanoswitches With Aptamer Based Detection For Thrombin, Camryn A. Beckles

Electronic Theses & Dissertations (2024 - present)

Bio-transducers are devices capable of converting the binding signals from molecular recognition events into readable signals for analytical detection. There is a need for modular bio-transducers that can specifically detect a wide range of analytes using a unified readout technique, as this approach could dramatically reduce costs of healthcare diagnostics and environmental monitoring.

To create such a modular transducer, the molecular recognition properties of aptamers will be used and integrated with the already established biosensing capabilities of DNA nanoswitches that reconfigure their shape in the presence of their target molecule. In this design, the detector strands of the nanoswitch will …

Study Of The Incorporation Of Date Stone Powder On Technological And Rheological Characteristics Of Common Wheat Flour, Djilali Bouhadi, Hamza Belkhodja, Zouaoui Benattouche, Abderrahmane Remil, Ahmed Hariri

Journal of Bioresource Management

The fortification of bakery products with bioactive and functional substances is the main focus of food sciences. These nutrients include date fruits (Phoenix dactylifera L.) and their byproducts. This work aims to illustrate the effects of using date components in bakery products and to determine how these effects affect the products' technological, rheological, and sensory qualities. To achieve this purpose, date powder was introduced in bread making procedure with different rates (1, 3, 5, 7 and 9 %). Then, the physicochemical, sensorial and rheological characteristics was determined. In terms of bread qualities, date powder improved the volume and form …

Black Soldier Fly Larvae (Bsfl) Bioconversion For Circular Economy: A Study In Polaman Village, Siswo Sumardiono, Rizka Amalia, Syaikha Butsaina Dhiya’Ulhaq, Nurika Nazilatul Ilmi, Hermawan Dwi Ariyanto

ASEAN Journal of Community Engagement

Conventional organic waste management methods often lead to environmental degradation and underutilization of valuable resources. In rural areas, such as Polaman Village, limited awareness and inefficient disposal systems exacerbate these issues, thus necessitating innovative and sustainable solutions. This study explores black soldier fly larvae (BSFL) bioconversion as a community-based solution for organic waste management, addresses environmental challenges, and promotes economic empowerment by converting waste into valuable by-products. The study employed a mixed-methods approach, beginning with baseline assessments of waste generation and existing management practices to identify community needs. Educational workshops and hands-on training sessions introduced BSFL bioconversion techniques to local …