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Adaptive Routing Provision by Using Bayesian Inference
Published in Jonathan Loo, Jaime Lloret Mauri, Jesús Hamilton Ortiz, Mobile Ad Hoc Networks, 2016
Ilias Kiourktsidis, Jonathan Loo, Grigorios Koulouras
Table 18.1 is a correlation matrix for all routing metric variables in the model. The numbers in the table are Pearson correlation coefficients, from −1 to 1. Closer to 1 means strong correlation. A negative value indicates an inverse relationship (roughly, when one goes up the other goes down).
Discrete element analysis of deformation features of slope controlled by karst fissures under the mining effect: a case study of Pusa landslide, China
Published in Geomatics, Natural Hazards and Risk, 2023
Qian Zhao, Zhongping Yang, Yuanwen Jiang, Xinrong Liu, Fangpeng Cui, Bin Li
The vertical displacement variation laws of lines A to D, and the horizontal displacement variation law of line E are shown in Figure 15. The vertical displacements of the data points on the right side of the karst fissure in lines A and B are basically maintained at −0.01 m. However, except for which in condition 3# gradually decreases, the vertical displacements of the data points on the left side of the karst fissure in conditions 6 #, 7# and 8# gradually increases, and the larger the inclination of the karst fissure, the greater the vertical deformation of the data points (Figure 15a and b). Meanwhile, the variation law of horizontal displacement of line E in conditions 6#, 7#, and 8# is also completely different from that of condition 3#, showing a gradually decreasing trend on the whole (Figure 15e). The vertical deformation of lines C and D below the karst fissure still increases first and then decreases from the slope surface to the inside of the slope, and the vertical deformation of line D is larger (Figures 5c and 15c and d). Based on the above analysis, it can be seen that the karst fissure, which has an inverse relationship with the slope surface, is also an indispensable factor to be considered in the study of slope stability.
Modelling of acetaldehyde and acetic acid combustion
Published in Combustion Theory and Modelling, 2023
Fekadu Mosisa Wako, Gianmaria Pio, Ernesto Salzano
From Figure 9(a), KiBo2.0 showed almost little dependence of rate constant on temperature which is supported by results from the Mevel kinetic mechanism. Nevertheless, KiBo2.0 kinetic model showed an inverse relationship between rate constant and inverse temperature. Coming to Figure 9(b & d), the rate constants reported by KiBo1.0 are completely consistent with the kinetic mechanism of Mevel. However, KiBo2.0 considers slower rates than 8 orders of magnitude. In this sense, it should be noted that experimental data were considered in the first case and ab initio calculations were implemented in the second. Besides, KiBo1.0 assumes a falloff reaction, whereas KiBo2.0 considers a pressure-dependent behaviour for this reaction. Considering the relevance of the reaction and the discrepancies among mechanisms, refining this rate constant could be prioritised for further improvement of acetaldehyde-based mechanisms. Moreover, as shown in Figure 9(c) the reaction rate of R20 reported in KiBo2.0 and Konnov kinetic models are in complete agreement while temperature independence of the rate has been observed for KiBo1.0. Thus, it can be concluded from the analysis that these four reactions might be responsible for ignition delay time deviations.
Plant/soil-microbial fuel cell operation effects in the biological activity of bioelectrochemical systems
Published in Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2022
Mirna Valdez-Hernández, Leandro N. Acquaroli, Javier Vázquez-Castillo, Omar González-Pérez, Julio C. Heredia-Lozano, Alejandro Castillo-Atoche, Lydia Sosa-Vargas, Edith Osorio-de-la-Rosa
The correlation values in Table 1 indicate an inverse relationship between the harvested energy and evaluated parameters. The most significant correlation was observed between the harvested power density, PAR, and solar irradiance, where the power harvesting of the PMFCs was measured under open-sky conditions. The correlation showed that there was a very weak association between power harvesting and photosynthetic activity during the study period (R = 0.35, p > .1). In addition, the PMFC stimulated the photosynthetic rate of C. variegatum and increased biomass, which is associated with long-term electricity production. Based on the results of the present study, it is possible that the development of a technique that regulates the increase in soil temperature will significantly increase the energy obtained. It is also necessary to conduct experiments with plant species that possess physiological adaptations to maintain a high photosynthetic rate under the microenvironmental conditions imposed by PMFC devices.