586 research outputs found
FIGURE 2 in The complete mitochondrial genome of the styloperlid stonefly species Styloperla spinicercia Wu (Insecta: Plecoptera) with family-level phylogenetic analyses of the Pteronarcyoidea
No full textFIGURE 2. Relative synonymous codon usage (RSCU) in the Styloperla. spinicercia mitogenome. Codon families are provided on the x-axis.Published as part of Wang, Ying, Cao, Jinjun & Li, Weihai, 2017, The complete mitochondrial genome of the styloperlid stonefly species Styloperla spinicercia Wu (Insecta: Plecoptera) with family-level phylogenetic analyses of the Pteronarcyoidea, pp. 125-138 in Zootaxa 4243 (1) on page 130, DOI: 10.11646/zootaxa.4243.1.5, http://zenodo.org/record/39874
FIGURE 7 in The complete mitochondrial genome of the styloperlid stonefly species Styloperla spinicercia Wu (Insecta: Plecoptera) with family-level phylogenetic analyses of the Pteronarcyoidea
No full textFIGURE 7. Phylogenetic tree of five sequenced Pteronarcyoidea and two Capniidae stoneflies. Bayesian inference and Maximum likelihood analysis inferred from PCG+rRNAs supported the same topological structure. ML bootstrap values (up) and Bayesian posterior probabilities (down) are indicated at each node.Published as part of Wang, Ying, Cao, Jinjun & Li, Weihai, 2017, The complete mitochondrial genome of the styloperlid stonefly species Styloperla spinicercia Wu (Insecta: Plecoptera) with family-level phylogenetic analyses of the Pteronarcyoidea, pp. 125-138 in Zootaxa 4243 (1) on page 135, DOI: 10.11646/zootaxa.4243.1.5, http://zenodo.org/record/39874
Study of Magnetic Interactions Between Ferromagnet, Antiferromagnet and Superconductor
No full textPh.DDOCTOR OF PHILOSOPH
Application of the Real-Time Kinematic Global Positioning System in Bridge Safety Monitoring
No full textA real-time kinematic (RTK) global positioning system (GPS) has been developed and installed on the Human Bridge (China) for on-line monitoring of bridge deck movement, which may occur as a result of seismic activity, traffic load, and such environmental elements as temperature and wind. This paper presents the main features of the on-line GPS RTK system and its value for on-line safety monitoring
Improving the Evolutionary Optimization of Interplanetary Low-Thrust Trajectories Using a Neural Network Surrogate Model
No full textBuilding on recent advances in the fields of low-thrust trajectory optimization based on shaping methods, Artificial Neural Networks, and surrogate models in Evolutionary Algorithms, an investigation into a novel optimization routine is conducted. A flexible Python tool to evaluate linked trajectories in a two-body model based on hodographic shaping is implemented and used to develop a novel evolutionary optimization approach where a Genetic Algorithm is assisted in finding new candidate solutions by an online surrogate. The algorithm and different surrogate designs are experimentally investigated on two example problems based on the Dawn trajectory and the GTOC2 problem. Employing the surrogate yields new candidate solutions that improve the population’s fitness especially when the surrogate is used to approximate the shaping computation. Additionally, the use of a surrogate pretrained on a general data set of low-thrust transfers is tested and found to considerably improve the initial quality of the model, meaning that more good candidate solutions are found early on, accelerating the algorithm’s convergence.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Astrodynamics & Space Mission
Global Optimization of Low-Thrust Interplanetary Trajectories Using a Machine Learning Surrogate
No full textIn this work, we propose a new method to approximate the cost function of Low-Thrust, Multiple-Gravity-Assist interplanetary trajectories using a Machine Learning surrogate. We identified the computation time required to obtain training data as the main limitation when using Machine Learning methods for this purpose so we present a strategy to build the surrogate with limited training data. We built an Online-Sequential Extreme Learning Machine Multi-Agent System (OS-ELM-MAS) surrogate due to its theoretical good performance when the training data is limited. In addition, we define a method to include the surrogate during the optimization process that can be used with any gradient-free algorithm, and study the effect of several surrogate parameters on the optimization results. Finally, several interplanetary trajectories are optimized with and without the surrogate. Employing the surrogate results in up to 12% lower fuel cost values after a fixed optimization time. The parameters that control the interaction have to be carefully selected to achieve this improvement, and we show that the optimal value of these parameters can be narrowed down based on the characteristics of the transfers.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Astrodynamics & Space Mission
DISPERSED FLUORESCENCE SPECTROSCOPY OF JET-COOLED ISOBUTOXY, 2-METHYL-1-BUTOXY, AND ISOPENTOXY RADICALS
No full textIt is well known that rate constants of certain reactions of alkoxy radicals, e.g., unimolecular dissociation (decomposition by C-C bond fission) and isomerization via 1,5 H-shift, are highly sensitive to the molecular structure. In the present and the next talks, we report dispersed fluorescence (DF) spectra of various alkoxy radicals obtained under supersonic jet-cooled conditions by pumping different vibronic bands of their laser induced fluorescence (LIF) excitation spectra.footnote{Wu, Q.; Liang, G.; Zu, L.; Fang, W. emph{J. Phys. Chem A} textbf{2012}, emph{116}, 3156-3162.}footnote{Lin, J.; Wu, Q.; Liang, G.; Zu, L.; Fang, emph{W. RSC Adv.} textbf{2012}, emph{2}, 583-589.}footnote{ Liang, G.; Liu , C.; Hao, H.; Zu, L.; Fang, W. emph{J. Phys. Chem. A} textbf{2013}, emph{117}, 13229- 13235.} This talk focuses on the DF spectra of 2-methyl-1-propoxy (isobutoxy), 2-methyl-1-butoxy, and 3-methyl-1-butoxy (isopentoxy). In all cases, strong CO-stretch progressions were observed, as well as transitions to other vibrational levels, including low-frequency ones. Quantum chemical calculations were carried out to aid the assignment of the DF spectra. Franck-Condon factors were calculated using the ezSpectrum program.footnote{V. Mozhayskiy and A. I. Krylov, http://iopenshell.usc.edu/}Made available in DSpace on 2016-01-05T20:03:36Z (GMT). No. of bitstreams: 3
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Previous issue date: 2
Integration of process scheduling and control
No full textThe objective of this dissertation is to develop integrated models and optimization methods to solve for chemical process scheduling and control problems. A traditional approach to handle process operations at scheduling and control levels is to consider them as separate optimization problems. However, scheduling and dynamic optimization at control level are naturally connected. An integrated decision making helps to achieve an overall optimality and thus improves the profitability of process operations. Integration of scheduling and control results in Mixed Integer Dynamic Optimization (MIDO) which is computationally expensive. To reduce the complexity brought by integration, research efforts of this dissertation target two goals focusing on first reducing the model complexity, and second reducing the solution computational time especially in the case of online implementations (i.e. closed loop implementations). In this dissertation, we first proposed an approach of implementing closed loop scheduling and control when the processes are subject to disturbance. Then we proposed a decomposition approach for the large size Mixed Integer Nonlinear Programming (MINLP) resulted from the integration of scheduling and control through sensitivity analysis. To facilitate online applications, we adopt multi-parametric Model Predictive Control (mp-MPC) at the control level and built a new integrated model using the explicit control solution generated by mp-MPC. We also developed an integrated model using a Piecewise Affine (PWA) model and used fast MPC at the control level to overcome the exponential dimension increasing in mp-MPC. Finally we discuss the uncertainty in process operations and present solution procedures of robust MPC for nonlinear problem at the control level. Throughout this dissertation, detailed integrated models and the solution algorithms are developed and case studies are used to demonstrate the effectiveness of the proposed approaches.Ph.D.Includes bibliographical referencesby Jinjun Zhug
The NTF2L Domain Is a Date Hub That Interacts with SLiMs to Regulate Assembly of Stress Granules
No full textBiomolecular condensation has been recognized as an important strategy for spatial or- ganization within cells. Biomolecules condense through interactions. When the sum and duration of collective interactions reach the percolation threshold, a system-spanning inter- action network is achieved, resulting in phase separation to create a low-viscosity liquid, i.e., biomolecular condensate. Protein-protein interactions (PPIs) are essential for the formation of system-spanning interaction networks that drive biomolecular condensation. Short linear motifs (SLiMs) are the most abundant functional unit involved in protein-protein interactions (PPIs). The interactions between SLiMs and date hubs are crucial for various cellular processes. While SLiMs and date hubs are prevalent in biomolecular condensates and exhibit interaction attributes similar to those in the biomolecular condensate interaction network, the roles of the interactions between SLiMs and date hubs in contributing to biomolecular condensation remains unillustrated. Here, we take a prototypical biomolecu- lar condensate, stress granule (SG), as an example to illustrate how the interactions between SLiMs and date hubs contribute to the interaction networks that drive biomolecular con-densation.
We firstly confirmed that the NTF2L domain of G3BP1 protein, the central node of the SG interaction network, is a date hub that interacts with SLiMs. We found that the NTF2L domain has one binding surface, comprising four closely neighboring, degenerated binding areas. We then defined the SLiM patterns for NTF2L recognition and applied these SLiM patterns to predict novel NTF2L binding motifs in human proteome. We successfully verified that NUFIP2 is a novel NTF2L direct interactor. Leveraging the structural insights into the interactions between NTF2L and its binding SLiMs, we generated in silico NTF2L mutants designed to manipulate these interactions. We confirmed that two mutants, F33W and H31A, indeed altered the NTF2L interactome as predicted. Furthermore, we found that the interactions between NTF2L and SLiMs not only introduce NTF2L direct interactors into the SG interaction network, but these SLiM-containing proteins also serve as bridges, connecting many other SG components into the SG interaction network. Caprin1 bridges NTF2L and small ribosomal proteins, NUFIP2 bridges NTF2L and both ATXN2L and DDX6. The mutations in NTF2L impact recruitment of both NTF2L direct interactors and the indirect interactors dependent on the corresponding direct interactors. NTF2L F33W lost interactions with multiple direct interactors, including caprin1, USP10, and NUFIP2, and we showed that G3BP1 F33W impairs the assembly of SGs. Using SG as an example, we demonstrated that the interactions between SLiMs and date hubs play important roles in the interaction networks that drive biomolecular condensation. Manipulating the interactions between SLiMs and date hubs regulates biomolecular condensation
Points with maximal Birkhoff average oscillation
No full textsummary:Let be a continuous map with the specification property on a compact metric space . We introduce the notion of the maximal Birkhoff average oscillation, which is the ``worst'' divergence point for Birkhoff average. By constructing a kind of dynamical Moran subset, we prove that the set of points having maximal Birkhoff average oscillation is residual if it is not empty. As applications, we present the corresponding results for the Birkhoff averages for continuous functions on a repeller and locally maximal hyperbolic set
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