Lattice-based motion planners are an established method to generate feasible motions for car-like vehicles. However, the solution paths can only reach a discretized approximation of the intended goal pose. Moreover, t...
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This paper proposes a convex approach to the Frisch-Kalman problem that identifies the linear relations among variables from noisy observations. The problem was proposed by Ragnar Frisch in 1930s, and was promoted and...
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Background: Virtual reality (VR) for mental health promotion remains understudied in low income humanitarian settings. We examined the effectiveness of VR in reducing depression with urban refugee youth in Kampala, Ug...
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作者:
Mohamed I. El-HawwaryDepartment of Electrical Power Engineering
Faculty of Engineering Cairo University Giza 12613 Egypt Division of Decision and Control Systems School of Electrical Engineering & Computer Science KTH Royal Institute of Technology SE-100 44 Stockholm Sweden
In this paper the flying convex-path-following formations problem (FCxPFF) is solved for two cases of underactuated rigid bodies. In the first case the the rigid bodies have a single degree of underactuation with two ...
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In this paper the flying convex-path-following formations problem (FCxPFF) is solved for two cases of underactuated rigid bodies. In the first case the the rigid bodies have a single degree of underactuation with two thrusts and three torques. In the second, they have two degrees of underactuation with a single thrust. The solution builds on the one developed for fully-actuated agents in Part I of the paper. In addition, the way the solution is tailored for underactuation relies on further utilization of hierarchic set stabilization, and reduction. Additional remarks on the benefits of the approach, and simulation results of the proposed solutions are presented.
This study evaluates the toxicity of iron oxide nanoparticles (Fe2O3 NPs) alone and in combination with silica nanoparticles (SiO2 NPs) on Helix aspersa. Snails were exposed to escalating concentrations (0, 5000, 10,0...
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This study evaluates the toxicity of iron oxide nanoparticles (Fe2O3 NPs) alone and in combination with silica nanoparticles (SiO2 NPs) on Helix aspersa. Snails were exposed to escalating concentrations (0, 5000, 10,000, 15,000 μg/g of flour) of Fe2O3 NPs and a mixture of Fe2O3 and SiO2 NPs for 28 days to assess impacts on metabolic parameters, oxidative stress, and neurotoxicity. Fe2O3 NPs significantly increased protein levels;the mixture exhibited a more pronounced effect, with significantly increased protein levels, particularly in the hepatopancreas and kidneys. Lipid levels generally decreased across all treatments, suggesting significant metabolic disruption. Carbohydrate responses were tissue-specific and differed significantly between single and combined exposures, highlighting complex responses to nanoparticle treatments. Malondialdehyde (MDA), a marker of lipid peroxidation, demonstrated a significant increase in all treatments compared to the control group. The mixture treatment caused divergent MDA responses, with higher levels observed in the hepatopancreas and lower levels in the kidneys than in single NP treatments. Glutathione (GSH) levels showed complex tissue-specific changes with mixture exposure, with reductions in the hepatopancreas and increases in the kidney. Furthermore, glutathione S-transferase (GST), catalase (CAT), and glutathione peroxidase (GPx) were altered, reflecting cellular stress responses. Notably, acetylcholinesterase (AChE) activity, a marker of neurotoxicity, was significantly reduced in all treated groups. These findings demonstrate that Fe2O3 NPs, individually and combined with SiO2 NPs, induce significant metabolic dysregulation, oxidative stress, and neurotoxicity in H. aspersa. This study underscores the potential ecological risks of NPs contamination and the importance of further
The main goal of the paper is to study the equilibria of a nonlinear system, proving the existence and uniqueness of an equilibrium point in the positive ortant. We also provide numerically tractable conditions (by us...
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The aim of this study was to predict maize yield by artificial intelligence using spatio-temporal training data. Counter-propagation artificial neural networks (CP-ANNs), XY-fused networks (XY-Fs), supervised Kohonen ...
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We propose a rule-based method of spike detection and suppression method. This method is an extension of the jump detector that was proposed by the second author, M. Pawlak and A. Steland. Its elementary properties ar...
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Optimization underpins many of the challenges that science and technology face on a daily basis. Recent years have witnessed a major shift from traditional optimization paradigms grounded on batch algorithms for mediu...
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This paper discusses dynamic properties of discrete Volterra equations of convolution type. The asymptotic separation of solutions is studied. More precisely, a polynomial lower bound for the norm of differences betwe...
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This paper discusses dynamic properties of discrete Volterra equations of convolution type. The asymptotic separation of solutions is studied. More precisely, a polynomial lower bound for the norm of differences between two different solutions of discrete Volterra equations of convolution type is presented. We apply this result to the theory of fractional difference equations.
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