1,375 research outputs found
Stability Analysis and Stabilization of T-S Fuzzy Delta Operator Systems with Time-Varying Delay via an Input-Output Approach
The stability analysis and stabilization of Takagi-Sugeno (T-S) fuzzy delta operator systems with time-varying delay are investigated via an input-output approach. A model transformation method is employed to approximate the time-varying delay. The original system is transformed into a feedback interconnection form which has a forward subsystem with constant delays and a feedback one with uncertainties. By applying the scaled small gain (SSG) theorem to deal with this new system, and based on a Lyapunov Krasovskii functional (LKF) in delta operator domain, less conservative stability analysis and stabilization conditions are obtained. Numerical examples are provided to illustrate the advantages of the proposed method
Large -tilings in 3-uniform hypergraphs
Let be the 3-graph with two edges intersecting in two vertices. We
prove that every 3-graph on vertices with at least
edges contains a -tiling covering more than vertices, for
sufficiently large and . The bound on the number of edges
is asymptotically best possible and solves a conjecture of the authors for
3-graphs that generalizes the Matching Conjecture of Erd\H{o}s
Toxoplasma gondii cathepsin proteases are undeveloped prominent vaccine antigens against toxoplasmosis
BACKGROUND: Toxoplasma gondii, an obligate intracellular apicomplexan parasite, infects a wide range of warm-blooded animals including humans. T. gondii expresses five members of the C1 family of cysteine proteases, including cathepsin B-like (TgCPB) and cathepsin L-like (TgCPL) proteins. TgCPB is involved in ROP protein maturation and parasite invasion, whereas TgCPL contributes to proteolytic maturation of proTgM2AP and proTgMIC3. TgCPL is also associated with the residual body in the parasitophorous vacuole after cell division has occurred. Both of these proteases are potential therapeutic targets in T. gondii. The aim of this study was to investigate TgCPB and TgCPL for their potential as DNA vaccines against T. gondii. METHODS: Using bioinformatics approaches, we analyzed TgCPB and TgCPL proteins and identified several linear-B cell epitopes and potential Th-cell epitopes in them. Based on these results, we assembled two single-gene constructs (TgCPB and TgCPL) and a multi-gene construct (pTgCPB/TgCPL) with which to immunize BALB/c mice and test their effectiveness as DNA vaccines. RESULTS: TgCPB and TgCPL vaccines elicited strong humoral and cellular immune responses in mice, both of which were Th-1 cell mediated. In addition, all of the vaccines protected the mice against infection with virulent T. gondii RH tachyzoites, with the multi-gene vaccine (pTgCPB/TgCPL) providing the highest level of protection. CONCLUSIONS: T. gondii CPB and CPL proteases are strong candidates for development as novel DNA vaccines
Transversal Hamilton paths and cycles
Given a collection of graphs on the
common vertex set of size , an -edge graph on the same vertex set
is transversal in if there exists a bijection such that for all .
Denote . In this paper, we first establish a minimum degree condition for
the existence of transversal Hamilton paths in : if and
, then contains a
transversal Hamilton path. This solves a problem proposed by [Li, Li and Li, J.
Graph Theory, 2023]. As a continuation of the transversal version of Dirac's
theorem [Joos and Kim, Bull. Lond. Math. Soc., 2020] and the stability result
for transversal Hamilton cycles [Cheng and Staden, arXiv:2403.09913v1], our
second result characterizes all graph collections with minimum degree at least
and without transversal Hamilton cycles. We obtain an analogous
result for transversal Hamilton paths. The proof is a combination of the
stability result for transversal Hamilton paths or cycles, transversal blow-up
lemma, along with some structural analysis.Comment: 33 pages, 10 figure
Direct and inverse elastic scattering from anisotropic media
Assume a time-harmonic elastic wave is incident onto a penetrable anisotropic body embedded into a homogeneous isotropic background medium. We propose an equivalent variational formulation in a truncated bounded domain and show uniqueness and existence of weak solutions by applying the Fredholm alternative and using properties of the Dirichlet-to-Neumann map in both two and three dimensions. The Fréchet derivative of the near-field solution operator with respect to the scattering interface is derived. As an application, we design a descent algorithm for recovering the interface from the near-field data of one or several incident directions and frequencies. Numerical examples in 2D are demonstrated to show the validity and accuracy of our methods
A Novel Dynamic Event-triggered Mechanism for Dynamic Average Consensus
This paper studies a challenging issue introduced in a recent survey, namely
designing a distributed event-based scheme to solve the dynamic average
consensus (DAC) problem. First, a robust adaptive distributed event-based DAC
algorithm is designed without imposing specific initialization criteria to
perform estimation task under intermittent communication. Second, a novel
adaptive distributed dynamic event-triggered mechanism is proposed to determine
the triggering time when neighboring agents broadcast information to each
other. Compared to the existing event-triggered mechanisms, the novelty of the
proposed dynamic event-triggered mechanism lies in that it guarantees the
existence of a positive and uniform minimum inter-event interval without
sacrificing any accuracy of the estimation, which is much more practical than
only ensuring the exclusion of the Zeno behavior or the boundedness of the
estimation error. Third, a composite adaptive law is developed to update the
adaptive gain employed in the distributed event-based DAC algorithm and dynamic
event-triggered mechanism. Using the composite adaptive update law, the
distributed event-based solution proposed in our work is implemented without
requiring any global information. Finally, numerical simulations are provided
to illustrate the effectiveness of the theoretical results.Comment: 9 pages, 8 figure
A novel dynamic event-triggered mechanism for dynamic average consensus
This paper studies a challenging issue introduced in a recent survey, namely designing a distributed event-based scheme to solve the dynamic average consensus (DAC) problem. First, a robust adaptive distributed event-based DAC algorithm is designed without imposing specific initialization criteria to perform estimation task under intermittent communication. Second, a novel adaptive distributed dynamic event-triggered mechanism is proposed to determine the triggering time when neighboring agents broadcast information to each other. Compared to the existing event-triggered mechanisms, the novelty of the proposed dynamic event-triggered mechanism lies in that it guarantees the existence of a positive and uniform minimum inter-event interval without sacrificing any accuracy of the estimation, which is much more practical than only ensuring the exclusion of the Zeno behavior or the boundedness of the estimation error. Third, a composite adaptive law is developed to update the adaptive gain employed in the distributed event-based DAC algorithm and dynamic event-triggered mechanism. Using the composite adaptive update law, the distributed event-based solution proposed in our work is implemented without requiring any global information. Finally, numerical simulations are provided to illustrate the effectiveness of the theoretical results.</p
Inverse elastic scattering for multiscale rigid bodies with a single far-field pattern
We develop three inverse elastic scattering schemes for locating multiple small, extended and multiscale rigid bodies, respectively. There are some salient and promising features of the proposed methods. The cores of those schemes are certain indicator functions, which are obtained by using only a single far-field pattern of the pressure (longitudinal) wave, or the shear (transversal) wave, or the total wave field. Though the inverse scattering problem is known to be nonlinear and ill-posed, the proposed reconstruction methods are totally "direct" and there are no inversions involved. Hence, the methods are very efficient and robust against noisy data. Both rigorous mathematical justifications and numerical simulations are presented in our study
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