Susi Susi^1,2,*, Makhmudun Ainuri^3,*, Wagiman Wagiman³, Mohammad Affan Fajar Falah³

Journal of Renewable Materials, Vol.12, No.3, pp. 513-537, 2024, DOI:10.32604/jrm.2024.045586

Abstract Microcrystalline cellulose (MCC) is one of the cellulose derivatives produced as a result of the depolymerization of a part of cellulose to achieve high crystallinity. When implemented in other polymers, high crystallinity correlates with greater strength and stiffnes, but it can reduce the water-holding capacity. The acid concentration and hydrolysis time will affect the acquisition of crystallinity and water absorption capacity, both of which have significance as properties of hydrogel filler. The study aimed to evaluate the properties and select the MCC generated from varying the proportion of hydrochloric acid (HCl) and the appropriate hydrolysis time as a filler for… More > Graphic Abstract

Ninis Hadi Haryanti^1,*, Eka Suarso¹, Tetti N. Manik¹, Suryajaya¹, Nurlita Sari¹, Darminto²

Journal of Renewable Materials, Vol.12, No.2, pp. 203-214, 2024, DOI:10.32604/jrm.2023.043549

Abstract Nipa palm is one of the non-wood plants rich in lignocellulosic content. In this study, palm fronds were converted into activated carbon, and their physical, chemical, and morphological properties were characterized. The resulting activated carbon was then applied as an adsorbent of Fe metal in peat water. The carbonization process was carried out for 60 min, followed by sintering at 400°C for 5 h with a particle size of 200 mesh. KOH and H₃PO₄ were used in the chemical activation process for 24 h. KOH-activated carbon contained 6.13% of moisture, 4.55% of ash, 17.02% of volatile matter, and 78.84% of… More > Graphic Abstract

Mohammad Javad SheikhMozafari^*

Sound & Vibration, Vol.58, pp. 81-100, 2024, DOI:10.32604/sv.2024.048897

Abstract Mitigating low-frequency noise poses a significant challenge for acoustic engineers, due to their long wavelength, with conventional porous sound absorbers showing limitations in attenuating such noise. An effective strategy involves combining porous materials with micro-perforated plates (MPP) to address this issue. Given the significant impact of structural variables like panel thickness, hole diameter, and air gap on the acoustic characteristics of MPP, achieving the optimal condition demands numerous sample iterations. The impedance tube’s considerable expense for sound absorption measurement and the substantial cost involved in fabricating each sample using a 3D printer underscore the advantage of utilizing simulation methods to… More > Graphic Abstract

Budhi Priyanto^1,2,*, Imam Khambali^1,2, Irma Septi Ardiani², Khoirotun Nadhiyah², Anna Zakiyatul Laila², M. Chasrun Hasani¹, Bima Romadhon³, Retno Asih², Yoyok Cahyono², Triwikantoro², Darminto^2,*

Journal of Renewable Materials, Vol.12, No.1, pp. 57-69, 2024, DOI:10.32604/jrm.2023.028619

Abstract An a-C/a-C:N junction, which used palmyra sugar as the carbon source and ammonium hydroxide (NH₄OH) as the dopant source, was successfully deposited on the ITO glass substrate using the nano-spraying method. The current-voltage relationship of the junction was found to be a Schottky-like contact, and therefore the junction shows the characteristic rectifiers. This means the a-C and a-C:N are semiconductors with different types of conduction. Moreover, the samples showed an increase in current and voltage value when exposed to visible light (bright state) compared to the dark condition, thereby, indicating the creation of electron-hole pairs during the exposure. It was… More > Graphic Abstract

Sri Hidayati^1,*, Eugenia Fonny Budiyanto¹, Hadi Saputra¹, Sutopo Hadi¹, Apri Heri Iswanto^2,3, Nissa Nurfajrin Solihat⁴, Petar Antov⁵, Lee Seng Hua^6,7, Widya Fatriasari^4,8, Mohd. Sapuan Salit⁹

Journal of Renewable Materials, Vol.11, No.6, pp. 2865-2879, 2023, DOI:10.32604/jrm.2023.027579

Abstract Black liquor is obtained as a by-product of the pulping process, which is used to convert biomass into pulp by removing lignin, hemicelluloses and other extractives from wood to free cellulose fibers. Lignin represents a major constituent in black liquor, with quantities varying from 20% to 30%, of which a very low share is used for manufacturing value-added products, while the rest is mainly burned for energy purposes, thus underestimating its great potential as a raw material. Therefore, it is essential to establish new isolation and extraction methods to increase lignin valorization in the development of bio-based chemicals. The aim… More > Graphic Abstract

Xue Huang^1,*, Zeyu Chen¹, Ruizhao Yang¹, Guangzhu Feng²

Journal of Renewable Materials, Vol.11, No.5, pp. 2301-2319, 2023, DOI:10.32604/jrm.2023.025888

Abstract 1,3-Dioleoyl-2-palmitoylglycerol (OPO) has been a hotspot of functional oils research in recent years, but due to the high cost of sn-1,3 specific lipase in enzymatic synthesis and the lack of biocatalyst stability, large-scale industrial application is difficult. In this study, the prepared magnetic ZnFe₂O₄ was functionalized with dopamine to obtain ZnFe₂O₄@PDA, and the nano-biocatalyst ZnFe₂O₄@PDA@RML was prepared by immobilizing sn-1,3 specific lipase of Rhizomucor miehei lipase (RML) via a cross-linking method. The existence of RML on ZnFe₂O₄@PDA was confirmed by XRD, FTIR, SEM, and TEM. This strategy proved to be simple and effective because the lipase immobilized on magnetic nanoparticles… More > Graphic Abstract

Mohamed Ezz, Waad Alanazi, Ayman Mohamed Mostafa^*, Eslam Hamouda, Murtada K. Elbashir, Meshrif Alruily

Computer Systems Science and Engineering, Vol.46, No.2, pp. 2299-2317, 2023, DOI:10.32604/csse.2023.036567

Abstract Palmprint identification has been conducted over the last two decades in many biometric systems. High-dimensional data with many uncorrelated and duplicated features remains difficult due to several computational complexity issues. This paper presents an interactive authentication approach based on deep learning and feature selection that supports Palmprint authentication. The proposed model has two stages of learning; the first stage is to transfer pre-trained VGG-16 of ImageNet to specific features based on the extraction model. The second stage involves the VGG-16 Palmprint feature extraction in the Siamese network to learn Palmprint similarity. The proposed model achieves robust and reliable end-to-end Palmprint… More >

Ahmad S. Awad^1.*, Banan Hudaib², Waid Omar²

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.6, pp. 1535-1549, 2023, DOI:10.32604/fdmp.2023.024300

Abstract In this study, the potential of a low-cost bio-adsorbent, taken directly from Date Palm Trunk Fibers (DPTF) agricultural wastes, for cadmium ions removal from wastewaters is examined. The performances of this adsorbent are evaluated by building breakthrough curves at different bed heights and flow rates while keeping other parameters, such as the initial feed concentration, pH, and particle size, constant. The results indicate that the maximum cadmium adsorption capacity of DTPF can be obtained from the Thomas model as 51.5 mg/g with the most extended mass transfer zone of 83 min at the lowest flow rate at 5 ml/min. The… More > Graphic Abstract

Eslam Hamouda¹, Mohamed Ezz^1,*, Ayman Mohamed Mostafa¹, Murtada K. Elbashir¹, Meshrif Alruily¹, Mayada Tarek²

Computer Systems Science and Engineering, Vol.46, No.1, pp. 619-636, 2023, DOI:10.32604/csse.2023.035830

Abstract Many types of research focus on utilizing Palmprint recognition in user identification and authentication. The Palmprint is one of biometric authentication (something you are) invariable during a person’s life and needs careful protection during enrollment into different biometric authentication systems. Accuracy and irreversibility are critical requirements for securing the Palmprint template during enrollment and verification. This paper proposes an innovative HAMTE neural network model that contains Hetero-Associative Memory for Palmprint template translation and projection using matrix multiplication and dot product multiplication. A HAMTE-Siamese network is constructed, which accepts two Palmprint templates and predicts whether these two templates belong to the… More >

J. Vasavi¹, M. S. Abirami^2,*

Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1349-1363, 2023, DOI:10.32604/iasc.2023.032604

Abstract In recent years, biometric sensors are applicable for identifying important individual information and accessing the control using various identifiers by including the characteristics like a fingerprint, palm print, iris recognition, and so on. However, the precise identification of human features is still physically challenging in humans during their lifetime resulting in a variance in their appearance or features. In response to these challenges, a novel Multimodal Biometric Feature Extraction (MBFE) model is proposed to extract the features from the noisy sensor data using a modified Ranking-based Deep Convolution Neural Network (RDCNN). The proposed MBFE model enables the feature extraction from… More >