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"The kinetics of aluminumleaching from sludge solid waste (SSW) using hydrochloric acid at differentleaching temperatures (30-90°C) was studied. A mathematical model was developed based on ashrinking core model by assuming first-order kinetics mechanisms for leachingand an equilibrium linear at the solid-liquidinterface. The proposed model is suited to fit experimental data with threefitting parameters and to simulate the leaching of aluminum from SSW, which wasvalidated with the mass transfer coefficient (kc, cm/s),diffusion coefficient (De,cm2/s), and reaction rate constants (k, cm/s). The evaluated kc,De, and k are expected to follow an increasingtrend with increasing temperature. The correlation coefficient ≥ 0.9795, theroot mean square error ≤ 0.399, the mean relative deviation modulus ≤ 6.415%,and the value of activation energy is 13.27 kJmol-1. The proposed model could describe the kinetics ofaluminum leaching from the SSW DWT in accordance with test parameters andrelevant statistical criteria. Valuable information on the results of this workcan be given for the purposes of the simulation, optimization, scaling-up, anddesign of the leachingprocess."

"The kinetics of aluminum leaching from sludge solid waste (SSW) using hydrochloric acid at different leaching temperatures (30-90°C) was studied. A mathematical model was developed based on a shrinking core model by assuming first-order kinetics mechanisms for leaching and an equilibrium linear at the solid-liquid interface. The proposed model is suited to fit experimental data with three fitting parameters and to simulate the leaching of aluminum from SSW, which was validated with the mass transfer coefficient (kc , cm/s), diffusion coefficient (De, cm2/s), and reaction rate constants (k, cm/s). The evaluated kc , De , and k are expected to follow an increasing trend with increasing temperature. The correlation coefficient ? 0.9795, the root mean square error ? 0.399, the mean relative deviation modulus ? 6.415%, and the value of activation energy is 13.27 kJmol-1. The proposed model could describe the kinetics of aluminum leaching from the SSW DWT in accordance with test parameters and relevant statistical criteria. Valuable information on the results of this work can be given for the purposes of the simulation, optimization, scaling-up, and design of the leaching process."

"Commercialization ofbioethanol has recently intensified due to its market stability, low cost,sustainability, alternative fuel energy composition, greener output andcolossal fossil fuel depletion. Recently, because of greenhouse intensityworldwide, many researches are ongoing to reprocess the waste as well asturning down the environmental pollution. With this scenario, the invention ofbioethanol was hailed as a great accomplishment to transform waste biomass tofuel energy and in turn reduce the massive usages of fossil fuels. In thisstudy, our review enlightens various sources of plant-based waste feed stocksas the raw materials for bioethanol production because they do not adverselyimpact the human food chain. However, the cheapest and conventionalfermentation method, yeast fermentation is also emphasized here notably forwaste biomass-to-bioethanol conversion. Since the key fermenting agent, yeastis readily available in local and international markets, it is morecost-effective in comparison with other fermentation agents. Furthermore, yeasthas genuine natural fermentation capability biologically and it produces zerochemical waste. This review also concerns a detailed overview of the biologicalconversion processes of lignocellulosic waste biomass-to-bioethanol, thediverse performance of different types of yeasts and yeast strains,plusbioreactor design, growth kinetics of yeast fermentation, environmentalissues, integrated usages on modern engines and motor vehicles, as well asfuture process development planning with some novel co-products."

"Agricultural waste hasincreased colossally with development in agricultural production causing environmentalnuisance and degradation. Utilization of coconut husks, one of such type of waste, as a biosorbent for polluted surface water treatment, wasconsidered in this study. Polluted surface water was gently passed through twosimilar columns loaded with 100 and 200 g of coconut husk char respectively.The treated water samples collected after 30, 60, 90, 120 and 150 mins wereexamined for SO42-, NO3- and PO43-ions concentration. Removal efficiency for SO42-, NO3-and PO43- ions on 100 g coconut husk char after 150mins detention time were 70, 78 and 91% respectively. Freundlich isotherm modelgave a better description of the data (R2 > 0.96). Sorption datawas well described by second order pseudo kinetics (R2 >0.85). An amount of 100 g of the biosorbenthas astrong affinity for these types of ion removal in contaminated water. Coconut huskchar as a biosorbentis a panacea to significant concentrations of polyatomic ions in polluted surface water."

"The Aluminum 7075 (Al 7075) alloy is a precipitation hardening material instead of a strain hardening material. These mechanical properties are of a particular microstructure obtained by thermo-mechanical treatments. Among other things, this is a complicated microstructure which is responsible for the mechanical performance. The evolution of the mechanical properties of aluminum alloys is dependent on aging time parameters after heat treatment. In this study, the material has undergone a tempering heat treatment followed by a series of tensile tests. The experimental data (tensile curves in three directions during maturation time) is used to describe the evolution of the mechanical characteristics in terms of loading directions and maturation time, denoted respectively as: Ψ and t. The tensile curves are the source of data to begin the problem of identifying the behavior law of studied material using Barlat?s model and Hollomon?s isotropic hardening law. Thus, from the identified parameters (anisotropy coefficients and hardening coefficients), the evolution of the Lankford coefficient, deformation rate and load surfaces during the maturation time for three load directions (0°: rolling direction, 45° and 90°) are described. This study allows optimizing the response of the aluminum alloy to plastic strains, resulting from forming processes measured against the best time during maturation and the best load direction."

"The photocatalytic degradation of methylcyclohexane (MCH) in two phases (aqueous and vapor) was examined using modified titania that was immobilized on pumice and performed in the system of a specific condition. The photodegradation system that used a particular configuration reactor and modified catalyst could facilitate the two-phase photodegradation of MCH simultaneously. The photocatalyst was prepared by the mechanical mixing of urea and TiO2 P25 with mass ratios of 1:3 and 2:3, respectively and then calcined at 350 and 450oC. This modified photocatalyst was then immobilized on pumice and finally used for the photodegradation of MCH. The Infrared spectra studies revealed that modified titania with urea successfully incorporated a non-metal dopant within the TiO2 lattice. The catalyst that spread evenly across the surface of the pumice can be seen from Scanning Electron Microscope (SEM) characterization. The loading of 7.5% mass photocatalyst that immobilized on pumice degraded MCH in two-phases simultaneously during a 120 minute period and can be considered the optimum condition."

"Batteries on the markettoday still use liquid-type electrolytes, which can result in safety issuescaused by electrolyte leakage. Therefore, studies that search for solid-stateelectrolytes are important for resolving these issues. In this research, acomposite of lithium phosphate-montmorillonite-polyvinylidene fluoride (Li3PO4-MMT-PVDF)has been characterized with the aim of detecting the electrochemicalperformance of Li3PO4 with the addition of MMT. Li3PO4samples were prepared through a solid-state reaction, which was then mixed with MMT, which hada composition ranging from 5 wt% to 20 wt%, and 1 wt% PVDF as a binder. Thischaracterization was conducted with structural, morphological, andelectrochemical aspects. The structural test showed that the X-ray diffraction (XRD) pattern was dominated by Li3PO4 peaks and MMT aluminosilicates. The electrochemical characterization indicatedthat the conductivity value of the composites was greater than that of Li3PO4.The highest conductivity was achieved with a 15 wt% MMT addition, with adielectric-constant value of 74.9 at a frequency of 10 kHz."

"In any heterogeneous system, porting reconfigurable computing is often a highperformance platform for a broad range of computationally challenging issues.However, efficiently utilizing the maximum potential of these reconfigurablesystems is a difficult job without understanding their performancecharacteristics. This work proposes an analytic performance model using PetriNets (PN) for a Reconfigurable OR1200 (ROR1200) soft-core processor with modelvalidation and verifications. By modeling the ROR1200 system using Petri Nets,both behavioral and structural properties existing in parallel systems wereanalyzed. The Bound Level Analysis with respect to the dependency level of datais also performed on Soft Core Processors (SCP) like the ROR1200, the OR1200and the MicroBlaze."

"Cylindrical uranium dioxide pellets, which are the main components for nuclear fuel elements in light water reactors, should have a high density profile, a uniform shape, and a minimum standard quality for their safe use as a reactor fuel component. The quality of green pellets is conventionally monitored by laboratory measurement of the physical pellet characteristics; however, this conventional classification method shows some drawbacks, such as difficult usage, low accuracy, and high time consumption. In addition, the method does not address the non-linearity and complexity of the relationship between pellet quality variables and pellet quality. This paper presents the development and application of a modified Radial Basis Function neural network (RBF NN) as an automatic classification system for green pellet quality. The weight initialization of the neural networks in this modified RBF NN is calculated through an orthogonal least squared method, and in conjunction with the use of a sigmoid activation function on its output neurons. Experimental data confirm that the developed modified RBF NN shows higher recognition capability when compared with that of the conventional RBF NNs. Further experimental results show that optimizing the quality classification problem space through eigen decomposition method provides a higher recognition rate with up to 98% accuracy."