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Journal of Applied Science & Process Engineering
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  This is an Open Access Journal Open Access journal
ISSN (Online) 2289-7771
Published by UNIMAS Publisher Homepage  [7 journals]
  • Application of Mahalanobis-Taguchi System in Liver Function Profile of
           Methadone Flexi Dispensing Program

    • Authors: S N A M Zaini, S K M Saad, M Y Abu
      Pages: 1158 - 1176
      Abstract: Patients under the methadone flexi dispensing (MFlex) program are required to do blood tests like liver function profile. A doctor assesses 3 parameters like Alk phosphatase, ALT (SGPT), and AST (SGOT) to ensure the patient has a liver problem. Consequently, the existing system does not have a stable ecosystem towards classification and optimization. The objective is to apply the Mahalanobis-Taguchi system (MTS) in the MFlex program. The data is collected at Bandar Pekan clinic with 34 parameters. Two types of MTS methods are used like RT-Method and T-Method for classification and optimization respectively. The average Mahalanobis distance (MD) of healthy is 1.00 and unhealthy is 352.58. A positive degree of contribution has only 1 parameter. 15 unknown samples have been diagnosed. Type 2 of 6 modifications has been selected as the best-proposed solution. In conclusion, a pharmacist from Bandar Pekan clinic confirmed that MTS can solve problems in the classification and optimization of MFlex program.
      PubDate: 2022-10-31
      DOI: 10.33736/jaspe.4283.2022
      Issue No: Vol. 9, No. 2 (2022)
       
  • Sound Velocities in Aqueous Solutions of n-Butylamine between 303.15 and
           323.15 K: Experiment and Theory

    • Authors: Muhammad A. R. Khan, Mohammed Sohel, Faisal I Chowdhury, Shamim Akhtar
      Pages: 1177 - 1196
      Abstract: Density (ρ) and sound velocity (u) have been measured for aqueous solutions of n-butylamine ( W + NBA) in the whole range of composition at an interval of 5 K. Deviation in Sound Velocity (∆u), Isentropic Compressibility (Ks), Excess Isentropic Compressibility (KsE), Specific Acoustic Impedance (Z), Rao's Constant (R) and Wada's Constant (W) have been calculated from measured u and ρ. ∆u versus x2 curve is negative and with the increment of temperature, ∆u decreases; Ks values of W + NBA are all positive whereas KsE values are all negative. All the above outcomes are interpreted in terms of molecular interaction especially hydrogen bonding and hydrophobic hydration between water and n-butylamine. Moreover, experimental data for u correlated with some theoretical equations. The relations are Nomoto’s Relation (uN), Impedance Relation (uIR), the Rao’s specific velocity method relation (uR), Van Deel’s ideal mixing relation (uIMR) and theoretical sound velocity according to Free Length Theory (uFLT). The validity of these relations with experimental values has been tested by measuring standard percentage deviation () and average percentage error (APE).
      PubDate: 2022-10-31
      DOI: 10.33736/jaspe.4636.2022
      Issue No: Vol. 9, No. 2 (2022)
       
  • Performance Analysis of Deep Learning based Human Activity Recognition
           Methods

    • Authors: Mst. Farzana Aktter, Md Anwar Hossain, Sohag Sarker, AFM Zainul Abadin, Mirza AFM Rashidul Hasan
      Pages: 1197 - 1208
      Abstract: Human Activity Recognition (HAR) is one of the most important branches of human-centered research activities. Along with the development of artificial intelligence, deep learning techniques have gained remarkable success in computer vision. In recent years, there is a growing interest in Human Activity Recognition systems applied in healthcare, security surveillance, and human motion-based activities. A HAR system is essentially made of a wearable device equipped with a set of sensors (like accelerometers, gyroscopes, magnetometers, heart-rate sensors, etc.). Different methods are being applied for improving the accuracy and performance of the HAR system. In this paper, we implement Artificial Neural Network (ANN), and Convolutional Neural Network (CNN) in combination with Long Short-term Memory (LSTM) methods with different layers and compare their outputs towards the accuracy in the HAR system. We compare the accuracy of different HAR methods and observed that the performance of our proposed model of CNN 2 layers with LSTM 1 layer is the best.
      PubDate: 2022-10-31
      DOI: 10.33736/jaspe.4639.2022
      Issue No: Vol. 9, No. 2 (2022)
       
  • Review of Particle Detachment and Attachment in Porous Media

    • Authors: Naomi Amoni Ogolo, Mike Onyekonwu
      Pages: 1209 - 1222
      Abstract: Particle detachment, migration and attachment are common processes in porous media, especially in unconsolidated formations. In this review, the processes are discussed and equations describing the processes are presented. Two particle detachment processes analyzed are the hydrodynamic forces and electric double-layer forces. The particle detachments equations were critically examined to determine if they reflect crucial factors that trigger particle detachment in porous media. Essential factors that are missing in the equation are the effect of pressure and the level of rock consolidation. Incorporating the level of rock cementation and the effect of pressure in the equations will make the models more empirical and less theoretical. For particle attachment, Van der Waals forces, adhesion, particle attachment efficiency, and straining processes and their equations are considered. The colloidal forces are all embraced in terms of capturing important elements that mobilize particles in porous media, however, the practical application of the models can pose a challenge. For particle adsorption on grain surfaces, it is recommended that the effect of pressure and temperature be studied.
      PubDate: 2022-10-31
      DOI: 10.33736/jaspe.4719.2022
      Issue No: Vol. 9, No. 2 (2022)
       
  • Identifying Urban Heat Effect through Satellite Image Analysis: Focusing
           on Narayanganj Upazila, Bangladesh

    • Authors: Md. Razzakul Islam, Md. Nazmul Haque
      Pages: 1223 - 1241
      Abstract: The rapid growth of population and land use cover change are closely connected. Narayanganj Sadar Upazila is the first Growing City in Bangladesh. Land use and land cover change are very first. Global warming, increased greenhouse gas emissions, and other environmental issues have become critical issues to address in recent times. Because of the Unplanned Expansion of urban areas, the LULC pattern is changing, and this kind of adverse (LST increasing, Heat Island Growth) impact is increasing. In this area, the amount of vegetation is decreasing day by day. The objectives of this study are to identify land use land cover (LULC) dynamics for the year 2001 to 2021, identify Urban Heat Islands from the value of land surface temperature (LST) and identify hotspots based on normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI), normalized difference water index (NDWI) and land surface temperature (LST) doing weighted overlay among them.  To determine the land cover pattern, and change at Narayanganj Upazila in the years 2001, 2011, and 2021, the land cover type was divided into four categories (build-up, vegetation, water bodies, and barren soil) in geographic information system (GIS) and Earth Resources Data Analysis System (ERDAS) Imagine 2014. The overall accuracy of LULC in 2001, 2011, and 2021 was 90.08, 91.34, and 92.02, respectively. And the value of the kappa coefficient for the years 2001, 2011, and 2021 was 0.91, 0.89, and 0.90, respectively. This study demonstrates an increase of 14.22% in built-up area and destruction of 15.5% of vegetation, 3.26% of barren soil, and 1.05% of the waterbody in the previous 21 years in Narayanganj Upazila. This study will help the administration, agricultural directorates, Pourashava office, and city corporation authority to take necessary measures to mitigate the adverse impacts of land cover change. They can make new rules and regulations on the construction of buildings, restrictions on filling water bodies and measures to conserve vegetation.
      PubDate: 2022-10-31
      DOI: 10.33736/jaspe.4747.2022
      Issue No: Vol. 9, No. 2 (2022)
       
  • Comparative Studies of RSM, RSM–GA and ANFILS for Modeling and
           Optimization of Naphthalene Adsorption on Chitosan–CTAB–Sodium
           Bentonite Clay Matrix

    • Authors: Olaosebikan Abidoye Olafadehan, Victor Ehigimetor Bello
      Pages: 1242 - 1280
      Abstract: The aim of this article was to compare the predictive abilities of the optimization techniques of response surface methodology (RSM), the hybrid of RSM–genetic algorithm (RSM–GA) and adaptive neuro-fuzzy interference logic system (ANFILS) for design responses of % removal of naphthalene and adsorption capacity of the synthesized composite nanoparticles of chitosan–cetyltrimethylammonium bromide (CTAB)–sodium bentonite clay.  The process variables considered were surfactant concentration, , activation time, ,  activation temperature, , and chitosan dosage, .  The ANFILS models showed better modeling abilities of the adsorption data on the synthesized composite adsorbent than those of ANN for reason of lower % mean absolute deviation, lower % error value, higher coefficient of determination, , amongst others and lower error functions’ values than those obtained using ANN for both responses.  When applied RSM, the hybrid of RSM–genetic algorithm (RSM–GA) and ANFILS 3–D surface pot optimization technique to determine the optimal conditions for both responses, ANFILS was adjudged the best.  The ANFILS predicted optimal conditions were = 116.00 mg/L, = 2.06 h, = 81.2oC and = 5.20 g.  Excellent agreements were achieved between the predicted responses of 99.055% removal of naphthalene and 248.6375 mg/g adsorption capacity and their corresponding experimental values of 99.020% and 248.86 mg/g with % errors of -0.0353 and 0.0894 respectively.  Hence, in this study, ANFILS has been successfully used to model and optimize the conditions for the treatment of industrial wastewater containing polycyclic aromatic compounds, especially naphthalene and is hereby recommended for such and similar studies.
      PubDate: 2022-10-31
      DOI: 10.33736/jaspe.4749.2022
      Issue No: Vol. 9, No. 2 (2022)
       
  • In Silico Testing of Some Protected Galactopyranose as SARS-CoV-2 Main
           Protease Inhibitors

    • Authors: Abul K.M.S. Azad, Md. Naimul Islam, Md. Atiquel Islam Chowdhury, Emranul Kabir
      Pages: 1281 - 1294
      Abstract: An outbreak of novel Coronavirus disease (COVID-19 or 2019-nCoV) due to the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has already demonstrated a fatal death toll all over the world. To cure this viral infection, a number of compounds of different categories have been investigated in silico. Some of the compounds showed better binding energy with COVID-19-related proteins. However, until now there is no appropriate drug except a vaccine. It was found that many antifungal drugs are used for COVID-19 patients in hospitals. Many monosaccharide esters have been reported to have antifungal potential. Thus, in the present study, some protected galactopyranose esters are chosen for molecular docking with SARS-CoV-2 main proteases (PDB id: 7BQY and 6LU7). A docking study revealed that galactopyranose esters 5-8 have very good docking scores (-8.4 to -6.5 kcal/mol) compared to the standard drugs azithromycin, remdesivir, and hydroxychloroquine. To explain such good scores interaction between amino acid residues of proteins and compounds in their docked complexes are calculated and duly discussed in this study.
      PubDate: 2022-10-31
      DOI: 10.33736/jaspe.4970.2022
      Issue No: Vol. 9, No. 2 (2022)
       
  • Naturally Occurring Rhamnopyranosides as Anticancer Agents: Molecular
           Docking and ADMET Study

    • Authors: Md. Inshaful Islam, Sulaiman Bin Sultan, Takbir Hossain, Md. Mohin Hasnain, Md. Badrul Islam, Abul K.M.S. Azad
      Pages: 1295 - 1310
      Abstract: After heart disease, cancer continues to be the second most prevalent cause of death in the USA. Several chemotherapeutic treatments (drugs) are available for cancer that use powerful chemicals to kill the body's rapidly proliferating cells. However, recent research disclosed that many clinically viable anticancer drugs have been developed with the help of chemicals originating from plants. A number of phytochemicals isolated from plants possess rhamnopyranoses and some of them are acyl rhamnopyranoses. Encouragingly, such compounds were reported for their cell proliferation and migration inhibition activities against invasive human triple-negative breast cancer cells. In this study, four naturally occurring rhamnopyranose esters were checked against three cancer-related proteins (PDB IDs: 3TJM, 4OAR, and 5FGK) via molecular docking. Rhamnose compounds 3-6 showed better binding energy compared to the related standard drugs in use in the hospitals. Compound 6 was found highly potential against all the proteins (-8.5 to -11.3 kcal/mol). ADMET studies have also been discussed in this respect. This study indicated that natural rhamnopyranose esters could be used to stop the spreading of cancer cells like other reported sugar fatty acid esters (SFAEs).
      PubDate: 2022-10-31
      DOI: 10.33736/jaspe.5065.2022
      Issue No: Vol. 9, No. 2 (2022)
       
 
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