International Journal of Biomass Utilization and Sustainable Energy (IJBUSE)
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The International Journal of Biomass Utilization and Sustainable Energy (IJBUSE) aim is to engage and disseminate knowledge in all the related areas of utilization of biomass, waste to wealth conversion, bioenergy, biotransformations and bioresource systems analysis, and technologies associated with conversion or production. For Bioenergy Processes, fermentations, thermochemical conversions, liquid and gaseous fuels, and petrochemical substitutes are also discussed. Types of papers published are: Full-length original research papers; Short communications; Review articles; Letters to the Editor.
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PublicationRandom subspace oracle (RSO) ensemble to solve small sample-sized classification problems( 2019-01-01)Under certain situations, researchers were forced to work with small sample-sized (SSS) data. With very limited sample size, SSS data have the tendency to undertrain a machine learning algorithm and rendered it ineffective. Some extreme cases in SSS problems will have to deal with large feature-To-instance ratio, where the high number of features compared to small number of instances will overfit the classification algorithm. This paper intends to solve small sample-sized classification problems through hybrid of random subspace method and random linear oracle ensemble by utilizing binary feature subspace splitting and oracle selection scheme. Experimental results on artificial data indicate the proposed algorithm can outperform single decision tree and linear discriminant classifiers in small sample-sized data, but its performance is identical to k-nearest neighbor classifier due to both shared similar selection approach. Results from real-world medical data indicate the proposed method has better classification performance than its corresponding single base classifier especially in the case of decision tree.
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PublicationHuman exfoliated deciduous teeth stem cells: Features and therapeutic effects on neurogenerative and hepatobiliary-pancreatic diseases( 2021-01-01)Stem cells can multiply into more cells with similar types in an undifferentiated form and differentiate into other types of cells. The great success and key essence of stem cell technology is the isolation of high-quality Mesenchymal Stem Cells (MSCs) with high potency, either with multipotent or pluripotent property. In this line, Stem cells from Human Exfoliated Deciduous teeth (SHEDs) are highly proliferative stem cells from dental pulp and have multipoint differentiation capacity. These cells play a pivotal role in regenerative medicine, such as cell repair associated with neurodegenerative, hepatobiliary, and pancreatic diseases. In addition, stem cell therapy has been widely used to regulate immune response and repair of tissue lesions. This overview captured the differential biological characteristics, and the potential role of stem cell technology and paid special attention to human welfare SHEDs in eliminating the above-mentioned diseases. This review provides further insights into stem cell technology by expanding the therapeutic potential of SHEDs in tissue engineering and cell organ repairs.
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PublicationA Study on the Effect of Hybrid Nanolubricant on Cutting Energy During Turning of Inconel 718 Under Minimum Quantity Lubricant Approach( 2021-01-01)A new type of technology that is evolving today is hybrid nanolubricants. The word hybrid can be considered to form a homogeneous phase of different materials that are a mixture of physical and chemical properties. Thus, hybrid nanolubricant refers to combination in base oil, two or more types of nanoparticles. Compared to traditional nanolubricants, hybrid nanolubricants have a great improvement in thermal or rheological properties. Application of hybrid nanolubricant in machining hard to cut alloy can be beneficial due to its excellent friction reducer and heat transfer properties. Lack of finding on benefits of the hybrid nanolubricants cutting fluids requires further exploration. Hence, in this work, the contrariety of several hybrid nanolubricant in terms of cutting energy and spindle power during turning of Inconel 718 was tested. Hybrid nanolubricant (Al2O3 + ZnO, 1:1) was found to be superior in reducing the cutting energy meanwhile hybrid nanolubricant (Al2O3 + SiO2, 2:1) managed to reduce the spindle power effectively as compared to other tested cooling condition. Hybrid nanolubricant is a potential cutting fluid for hard to cut alloy.
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PublicationEffect of milling parameter and fiber pull-out on machinability kenaf fiber reinforced plastic composite materials( 2021-01-01)Milling surface quality normally depends on the value of surface roughness and delamination factor. The milling parameters, which are cutting tool geometry and fiber pull-out, are the major factors affecting the value of surface roughness and delamination factor in milling kenaf fiber reinforced plastic composite. The objectives of this research are to study the effects of milling parameters, to evaluate the fiber behavior, and to determine the optimum conditions for a range of milling parameters in order to minimize surface roughness (Ra) and delamination factor (Fd) using response surface methodology (RSM). RSM with central composite design (CCD) approach was used to conduct a non-sequential experiment and analyzed the data from the measurements of surface roughness and delamination factor. This study focused on the investigation of relationship between the milling parameters and their effects on kenaf reinforced plastic composite materials during cutting process. Kenaf composite panels were fabricated using vacuum assisted resin transfer molding (VARTM) method that was pressurized below 15 psi using a vacuum pressure. The results showed that the optimum parameters for better surface roughness and delamination factor were cutting speed of 16 Vm/min, feed rate of 0.1 mm/tooth, and depth of cut of 2.0 mm. The feed rate and cutting speed are expected to be the biggest contributors to surface roughness and delamination factor. Finally, different cutting tool geometries also influenced the fiber pull-out that affect surface roughness and delamination factor in milling kenaf fiber reinforce plastic composite materials.
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PublicationExperimental and finite element modeling of partial infill patterns for thermoplastic polymer extrusion 3D printed material using elasto-plastic method( 2020-10-26)Fused Deposition Modeling is known as one of the 3D printing technology where it used a thermoplastic filament to produce a prototype or a 3D part. FDM will print out the 3D part, layer by layer on the platform of the 3D printer from bottom to top using the extruded molten thermoplastic. However, there is no information about the volume enclosed by the boundary surface of the 3D part by commonly used model data format such as STL file, since the volume enclosed can be completely or partially filled. Therefore, the study and research have been carried out to investigate the strength of the 3D part affected by the design of the infill pattern where three methods being used which are design, experiment and simulation. The 3D parts were designed using CATIA V5 following the ASTM D638 for tensile test and ASTM D695 for compression test. The 3D design was then being printed using the Fused Deposition Modeling (FDM) technique for experimental purposes and to perform the quasi-static test. Furthermore, the 3D printed with infill pattern test data were then being imported to ABAQUS/Explicit software for non-linear finite element analysis using elasto-plastic approach. The best infill patterns that exhibit a better strength after the 100% fill part is the 30% fill Lines pattern. It can be concluded that the average percentage error of stress and strain values between experimental test and simulations in tensile and compression for all specimens is below than 10%.