Showing papers by "Sejong University published in 2022"
Kafrelsheikh University1, University of Wuppertal2, King Abdulaziz University3, University of Thessaly4, COMSATS Institute of Information Technology5, University of Hong Kong6, Cairo University7, China Agricultural University8, University of Agriculture, Faisalabad9, Egyptian Petroleum Research Institute10, Hanyang University11, University of East Anglia12, University of Auckland13, Sejong University14
TL;DR: In this paper, a comprehensive review of rice biochar (RBC) and rice compost (RC) applications with respect to preparation and characterization is presented, with a focus on the potential for the sustainable use of RBC and RC in the management of contaminated soils and water as well as the construction industry.
Abstract: Rice is second only to maize among the world's most important cereal crops, with a global harvested area of approximately 158 million hectares and an annual production of more than 700 million tonnes as paddy rice. At this scale, rice production generates vast amounts of waste in the form of straw, husk, and bran. Because of high cellulose, lignin, and silica contents, rice biowaste (RB) can be used to produce rice biochar (RBC) and rice compost (RC). Furthermore, RB can be used as sorbents, soil conditioners, bricks/concrete blocks, flat steel products, and biofuels, all of which make significant contributions to meeting United Nations Sustainable Development Goals (UNSDGs). Although previous reviews have explored individual applications of rice feedstocks, inadequate attention has been paid to multifunctional values and potential multi-utilities. Here, we offer a comprehensive review of RBC and RC with respect to: (1) preparation and characterization; (2) applications as soil conditioners and organic fertilizers and their effects on soil-carbon sequestration; (3) remediation of toxic element–contaminated soils and water; (4) removal of colors, dyes, endocrine-disrupting chemicals, personal-care products, and residual pesticides from water; and (5) applications in the construction industry. Specifically, we describe the opportunities for the sustainable use of RBC and RC in the management of contaminated soils and water as well as the construction industry. Overall, this review is expected to lengthen the list of possible multifunctional applications of RBC and RC.
56 citations
TL;DR: The link between infrastructure and green logistics performance in the services sector has been studied in this article, where the authors validated the reliability and validity of constructs and indicators used to measure constructs by assessing measurement models.
52 citations
TL;DR: In this paper, the authors provide a comprehensive understanding of Se biogeochemistry in the soil-plant-human system, including strategies for biofortification in Se-deficient areas, factors affecting Se uptake and transport by plants, metabolic pathways of Se in the human body, and interactions between Se and other trace elements in plant and animals, in particular, the detoxification of heavy metals by Se.
50 citations
TL;DR: In this article, a new category of CoSe2 nanorod-CuSe polyhedron decorated graphene oxide (CCS@GO) hybrid electrode material was designed and studied for its application in high-performance hybrid asymmetric supercapacitors (HASCs) for the first time.
49 citations
TL;DR: In this paper, a comprehensive review of the impact of organic matter, Fe oxides, and related biogeochemical processes on As mobilization to aquifers has been presented, including ternary complexes involving both Fe and organic matter.
39 citations
TL;DR: In this paper , a parallel convolutional neural network (CNN) - long short-term memory (LSTM) attention (PCLA) model was proposed for heat load forecast.
36 citations
TL;DR: In this article , a review projected the critical intervention of nano-based technologies like modern advancements of nanobased biosensors in detecting mycotoxins, microbial contaminations, antibiotics, pesticides, food additives, and dyes.
35 citations
TL;DR: In this paper, the authors synthesized a novel heterogeneous catalyst using lanthanum titanium dioxide (LaTiO3) nanoparticles via co-precipitation and calcination processes.
34 citations
TL;DR: In this article, a facile chemical precipitation methodology was used to prepare the greatly active Fe, Cu and Ni metal doped MoS2 nanoarrays for hydrogen evolution and supercapacitors.
34 citations
TL;DR: In this article , the authors present an overview of several key technologies, significance, demonstration, recent development, and implications of state-of-the-art criteria in terms of spectrum reuse, classification, architecture, physical layer security, and future applications for understanding FSO system among different appealing optical wireless technologies.
34 citations
TL;DR: Recently, graphitic carbon nitride (g-C3N4) has received significant attention as a non-metallic, visible-light-activated photocatalyst for treating water and wastewater by degrading contaminants as mentioned in this paper.
TL;DR: Recently, graphitic carbon nitride (g-C3N4) has received significant attention as a non-metallic, visible-light-activated photocatalyst for treating water and wastewater by degrading contaminants as discussed by the authors .
TL;DR: In this paper, the authors analyzed the supply chain finance and block chain technology in the context of edge computing and proposed an optimized plan that can effectively control supply chain financing, which greatly reduces the risks of all parties in the finance.
Abstract: The implementation of the “Internet +” policy advocated by the state has also led to rapid development of Internet finance. In order to promote changes in business development models, as a pioneering work for banks serving the real economy, supply chains are being developed to address small and medium-sized enterprises. The financing of enterprises, the transformation and development needs of banks themselves, and the promotion of logistics technology. Edge computing refers to an open platform that integrates network, data processing, storage and application core functions, and can provide the closest end-of-page service near the object data source to meet real-time, application intelligence, security and privacy Sexual needs. The core of supply chain financing is to establish an optimized plan that can effectively control supply chain financing. By integrating the financing literature of the supply chain, the settlement cost in the supply chain can be solved. Based on theoretical research, this article analyzes supply chain financing and block chain technology. Combined with the current specific situation of block chain in supply chain financing, the management system, cash flow of the supply chain, and risk control system are analyzed. All parties to the supply chain financing optimize the supply chain financing risk control system while reducing business costs and improving corporate efficiency, which greatly reduces the risks of all parties in the supply chain financing. The block chain Iota environment based on shared data and advanced data processing has very powerful theoretical and practical significance for promoting the development of commercial banks and enterprises.
TL;DR: In this paper , the authors discuss the flow, heat, and mass transport of hybrid nanofluid (Casson, micropolar, silica, alumina, and Water), Casson, and micro-drone fluid flow across a curved stretching sheet.
TL;DR: In this paper, a simple and effective adaptive surrogate model to structural reliability analysis using deep neural network (DNN) is introduced, in which initial design of experiments (DoEs) are randomly selected from a given Monte Carlo Simulation (MCS) population to build the global approximate model of performance function (PF).
Abstract: This article introduces a simple and effective adaptive surrogate model to structural reliability analysis using deep neural network (DNN). In this paradigm, initial design of experiments (DoEs) are randomly selected from a given Monte Carlo Simulation (MCS) population to build the global approximate model of performance function (PF). More important points on the boundary of limit state function (LSF) and their vicinities are subsequently added relied on the surrogate model to enhance its accuracy without any complex techniques. A threshold is proposed to switch from a globally predicting model to a locally one for the approximation of LSF by eradicating previously used unimportant and noise points. Accordingly, the surrogate model becomes more precise for the MCS-based failure probability assessment with only a small number of experiments. Six numerical examples with highly nonlinear properties, various distributions of random variables and multiple failure modes, namely three benchmark ones regarding explicit mathematical PFs and the others relating to finite element method (FEM)-programmed truss structures under free vibration, are examined to validate the present approach.
01 Mar 2022
TL;DR: In this article , a simple and effective adaptive surrogate model to structural reliability analysis using deep neural network (DNN) is introduced, in which initial design of experiments (DoEs) are randomly selected from a given Monte Carlo Simulation (MCS) population to build the global approximate model of performance function (PF).
Abstract: This article introduces a simple and effective adaptive surrogate model to structural reliability analysis using deep neural network (DNN). In this paradigm, initial design of experiments (DoEs) are randomly selected from a given Monte Carlo Simulation (MCS) population to build the global approximate model of performance function (PF). More important points on the boundary of limit state function (LSF) and their vicinities are subsequently added relied on the surrogate model to enhance its accuracy without any complex techniques. A threshold is proposed to switch from a globally predicting model to a locally one for the approximation of LSF by eradicating previously used unimportant and noise points. Accordingly, the surrogate model becomes more precise for the MCS-based failure probability assessment with only a small number of experiments. Six numerical examples with highly nonlinear properties, various distributions of random variables and multiple failure modes, namely three benchmark ones regarding explicit mathematical PFs and the others relating to finite element method (FEM)-programmed truss structures under free vibration, are examined to validate the present approach.
TL;DR: In this paper, black soldier fly larvae (BSFLs) were directly converted into biodiesel through non-catalytic transesterification, which achieved a 93.8% yield.
TL;DR: In this paper, the feasibility of simultaneously producing synthetic gases and metal-biochar catalyst from co-pyrolysis of microalgae (chlorella vulgaris, CV) and industrial waste (bauxite tailings, BT).
TL;DR: In this article, the authors proposed a method to valorize hazardous waste such as used COVID-19 face mask via catalytic gasification over Ni-loaded ZSM-5 type zeolites.
TL;DR: In this article, an ultrasonically driven exfoliation was used to obtain poly diketo pyrrolopyrrole-thieno thiophene (PDPT) and multiwalled carbon nanotube (CNT) composite, subsequently fabricated a PDPT donor-π-acceptor heterojunction with CNT and investigated energy storage applications.
TL;DR: In this paper, the authors presented the nonlinear vibration of porous functionally graded sandwich plate on elastic foundations subjected to blast loading by the analytical approach, where the blast loading was assumed to be uniformly distributed on the surface of the sandwich plate and modeled by an exponential function.
Abstract: This paper presents the nonlinear vibration of porous functionally graded sandwich plate on elastic foundations subjected to blast loading by the analytical approach. The sandwich plate consists of two FGM face sheets and a homogeneous core which is made from metal or ceramic. Two types of porosity distribution, including evenly and unevenly distributed porosity have been considered for sandwich plate. The material properties of sandwich plate are assumed to vary in the thickness direction according to simple power law distribution with a volume fraction index and a porosity coefficient. The blast loading is assumed to be uniformly distributed on the surface of the sandwich plate and modeled by an exponential function. The Reddy’s higher order shear deformation theory with von Karman type nonlinearity is used to establish governing equations for the vibration of sandwich plate. By applying Galerkin and fourth-order Runge–Kutta methods, the numerical results show the effects of volume fraction index, porosity coefficient, type of porosity distribution, geometrical parameters, elastic foundations and parameters of blast loading on the nonlinear vibration of the sandwich plate. Comparisons are conducted to evaluate the reliability of the obtained results.
TL;DR: In this paper, the authors have shown that forest resilience is hampered because of temperature and drought stress at the developing stage of plant's life cycle leading to the shift in plant species in those areas.
TL;DR: In this article , the unique interactions between hexadecanoic acid (HA) and albumin (ALB) molecules on the surface of the porous layer of AZ31 Mg alloy were exploited to fabricate a novel hybrid composite film with excellent electrochemical stability in a 3.5 wt.% NaCl solution.
TL;DR: In this paper, the new lanthanum sulfide nanoparticle (La2S3) was synthesized and incorporated onto magnetic graphene oxide (MGO) sheets surface to produce potential adsorbent for efficient removal of lead ions (Pb2+) from wastewater.
TL;DR: In this article , the authors explored optical, thermoelectric, and thermodynamical properties of Tl2TiX6 (where X = Cl, Br, I) using modified Becke and Johnson exchange potential.
Sejong University1, Avinashilingam Institute for Home Science and Higher Education for Women2, Christ University3, Bharathiar University4, International Centre for Genetic Engineering and Biotechnology5, Guangdong Ocean University6, Rajamangala University of Technology Thanyaburi7, University of Limpopo8
TL;DR: Two-dimensional transition metal chalcogenides (TMDCs) and carbide have validated boundless prospective as multi-functional constituents for high performance energy storing and/or conversion devices as discussed by the authors .
TL;DR: The proposed Bot2Vec model is designed to automatically preserve both local neighborhood relations and the intra-community structure of user nodes while learning the representation of given OSNs, without using any extra features based on the user’s profile.
TL;DR: In this article , the authors explored the relationship among the protective measures against virus handled by hotels with financial risk perception, customer attitude, satisfaction and behavioral intention, and calculated the mean comparison across the demographic variables of hotel customer satisfaction and behavioural intention.
TL;DR: In this paper, a detailed examination of the origins of different biochar, its pyrolysis conditions, and potential interactions with various factors that affect BC characteristics and mechanisms of carbon mineralization in primed soil was carried out.