Xiaobin Sun
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View article: Mechanistic Insights Into Recurrent Implantation Failure: The Lactate– <scp>H3K18la</scp> – <scp>SLC7A11</scp> Axis Explored via Endometrial Organoid and Blastoid–Endometrial Cell Implantation Models
Mechanistic Insights Into Recurrent Implantation Failure: The Lactate– <span>H3K18la</span> – <span>SLC7A11</span> Axis Explored via Endometrial Organoid and Blastoid–Endometrial Cell Implantation Models Open
Recurrent implantation failure (RIF) remains a major challenge in assisted reproductive technologies, with the underlying molecular mechanisms still largely unknown. Here, we conducted proteomic profiling and analysed publicly available si…
View article: The Application of Carbon-Based Materials in Cathodes for High-Performance K-Se Batteries: A Review
The Application of Carbon-Based Materials in Cathodes for High-Performance K-Se Batteries: A Review Open
Potassium–selenium (K-Se) batteries have emerged as a promising energy storage system in view of their high theoretical energy density and low cost. However, their practical application is restricted due to challenges such as polyselenide …
View article: Cobalt/Salox‐Catalyzed Stereoselective C−H Functionalization: Enantioselective Construction of Axially Chiral Cyclic Phosphinamides with P‐Stereogenic Center
Cobalt/Salox‐Catalyzed Stereoselective C−H Functionalization: Enantioselective Construction of Axially Chiral Cyclic Phosphinamides with P‐Stereogenic Center Open
We describe a novel cobalt/salicyloxazoline (Salox) catalytic system for enantioselective C−H functionalization, enabling the synthesis of P‐stereogenic and axially chiral cyclic phosphinic amides. Chiral Salox ligands, conveniently prepar…
View article: <i>WDR36</i> Regulates Trophectoderm Differentiation During Human Preimplantation Embryonic Development Through Glycolytic Metabolism
<i>WDR36</i> Regulates Trophectoderm Differentiation During Human Preimplantation Embryonic Development Through Glycolytic Metabolism Open
Mammalian pre‐implantation development is a complex process involving sophisticated regulatory dynamics. WD repeat domain 36 (WDR36) is known to play a critical role in mouse early embryonic development, but its regulatory function in huma…
View article: The first eigenvalue of one‐dimensional elliptic operators with killing
The first eigenvalue of one‐dimensional elliptic operators with killing Open
In this paper, we investigate the first eigenvalue for one‐dimensional elliptic operators with killing. Two‐sided approximation procedures and basic estimates of the first eigenvalue are given in both the half line and the whole line. The …
View article: Strong convergence rate for slow-fast stochastic differential equations with Markovian switching
Strong convergence rate for slow-fast stochastic differential equations with Markovian switching Open
In this paper, we study the averaging principle for a class of slow-fast stochastic differential equations with Markovian switching, where the slow component is the solution of a stochastic differential equation and the fast component is a…
View article: Well-posedness and averaging principle of McKean-Vlasov SPDEs driven by cylindrical $α$-stable process
Well-posedness and averaging principle of McKean-Vlasov SPDEs driven by cylindrical $α$-stable process Open
In this paper, we first study the well-posedness of a class of McKean-Vlasov stochastic partial differential equations driven by cylindrical $α$-stable process, where $α\in(1,2)$. Then by the method of the Khasminskii's time discretization…
View article: Well-posedness and averaging principle of McKean-Vlasov SPDEs driven by cylindrical $\alpha$-stable process
Well-posedness and averaging principle of McKean-Vlasov SPDEs driven by cylindrical $\alpha$-stable process Open
In this paper, we first study the well-posedness of a class of McKean-Vlasov stochastic partial differential equations driven by cylindrical $\alpha$-stable process, where $\alpha\in(1,2)$. Then by the method of the Khasminskii's time disc…
View article: Orders of strong and weak averaging principle for multiscale SPDEs driven by $α$-stable process
Orders of strong and weak averaging principle for multiscale SPDEs driven by $α$-stable process Open
In this paper, the averaging principle is studied for a class of multiscale stochastic partial differential equations driven by $α$-stable process, where $α\in(1,2)$. Using the technique of Poisson equation, the orders of strong and weak c…
View article: Orders of strong and weak averaging principle for multiscale SPDEs driven by $\alpha$-stable process
Orders of strong and weak averaging principle for multiscale SPDEs driven by $\alpha$-stable process Open
In this paper, the averaging principle is studied for a class of multiscale stochastic partial differential equations driven by $\alpha$-stable process, where $\alpha\in(1,2)$. Using the technique of Poisson equation, the orders of strong …
View article: Optimal convergence rates in the averaging principle for slow-fast SPDEs driven by multiplicative noise
Optimal convergence rates in the averaging principle for slow-fast SPDEs driven by multiplicative noise Open
In this paper, we study a class of slow-fast stochastic partial differential equations with multiplicative Wiener noise. Under some appropriate conditions, we prove the slow component converges to the solution of the corresponding averaged…
View article: Strong averaging principle for a class of slow-fast singular SPDEs driven by $α$-stable process
Strong averaging principle for a class of slow-fast singular SPDEs driven by $α$-stable process Open
In this paper, the strong averaging principle is researched for a class of Hölder continuous drift slow-fast SPDEs with $α$-stable process by the Zvonkin's transformation and the classical Khasminkii's time discretization method. As applic…
View article: Strong averaging principle for a class of slow-fast singular SPDEs driven by $\alpha$-stable process
Strong averaging principle for a class of slow-fast singular SPDEs driven by $\alpha$-stable process Open
In this paper, the strong averaging principle is researched for a class of H\{o}lder continuous drift slow-fast SPDEs with $\alpha$-stable process by the Zvonkin's transformation and the classical Khasminkii's time discretization method. A…
View article: Strong and weak convergent rates for slow-fast stochastic differential equations driven by $\alpha$-stable process
Strong and weak convergent rates for slow-fast stochastic differential equations driven by $\alpha$-stable process Open
In this paper, we study the averaging principle for a class of stochastic differential equations driven by $\alpha$-stable processes with slow and fast time-scales, where $\alpha\in(1,2)$. We prove that the strong and weak convergent order…
View article: Averaging principle for stochastic real Ginzburg-Landau equation driven by $ \alpha $-stable process
Averaging principle for stochastic real Ginzburg-Landau equation driven by $ \alpha $-stable process Open
In this paper, we study a system of stochastic partial differential equations with slow and fast time-scales, where the slow component is a stochastic real Ginzburg-Landau equation and the fast component is a stochastic reaction-diffusion …
View article: Averaging principle for slow-fast stochastic partial differential equations with Hölder continuous coefficients
Averaging principle for slow-fast stochastic partial differential equations with Hölder continuous coefficients Open
By using the technique of the Zvonkin's transformation and the classical Khasminkii's time discretization method, we prove the averaging principle for slow-fast stochastic partial differential equations with bounded and Hölder continuous d…
View article: Strong convergence order for slow-fast McKean-Vlasov stochastic differential equations
Strong convergence order for slow-fast McKean-Vlasov stochastic differential equations Open
In this paper, we consider the averaging principle for a class of McKean-Vlasov stochastic differential equations with slow and fast time-scales. Under some proper assumptions on the coefficients, we first prove that the slow component str…
View article: Strong and weak convergence in the averaging principle for SDEs with Hölder coefficients
Strong and weak convergence in the averaging principle for SDEs with Hölder coefficients Open
Using Zvonkin's transform and the Poisson equation in $R^d$ with a parameter, we prove the averaging principle for stochastic differential equations with time-dependent Hölder continuous coefficients. Sharp convergence rates with order $(α…
View article: Exponential mixing for SPDEs driven by highly degenerate Lévy noises
Exponential mixing for SPDEs driven by highly degenerate Lévy noises Open
By modifying a coupling method developed by the third author with much more delicate analysis, we prove that a family of stochastic partial differential equations (SPDEs) driven by highly degenerate pure jump Lévy noises are exponential mi…
View article: Progress in Synthesis of Eight-Membered Cyclic Ethers
Progress in Synthesis of Eight-Membered Cyclic Ethers Open
Eight membered cyclic ether compounds are common structural motifs in natural products and bioactive molecules.The efficient synthesis of eight membered ethers has attracted wide attention for organic chemists.Compared with fiveto seven-me…
View article: Averaging principle for stochastic real Ginzburg-Landau equation driven by $α$-stable process
Averaging principle for stochastic real Ginzburg-Landau equation driven by $α$-stable process Open
In this paper, we study a system of stochastic partial differential equations with slow and fast time-scales, where the slow component is a stochastic real Ginzburg-Landau equation and the fast component is a stochastic reaction-diffusion …
View article: Smoothness of density for stochastic differential equations with Markovian switching
Smoothness of density for stochastic differential equations with Markovian switching Open
This paper is concerned with a class of stochastic differential equations with Markovian switching. The Malliavin calculus is used to study the smoothness of the density of the solution under a Hörmander type condition. Furthermore, we obt…
View article: Large deviation for two-time-scale stochastic Burgers equation
Large deviation for two-time-scale stochastic Burgers equation Open
A Freidlin-Wentzell type large deviation principle is established for stochastic partial differential equations with slow and fast time-scales, where the slow component is a one-dimensional stochastic Burgers equation with small noise and …
View article: Averaging principle for two dimensional stochastic Navier-Stokes equations
Averaging principle for two dimensional stochastic Navier-Stokes equations Open
The averaging principle is established for the slow component and the fast component being two dimensional stochastic Navier-Stokes equations and stochastic reaction-diffusion equations, respectively. The classical Khasminskii approach bas…
View article: Averaging principle for slow-fast stochastic differential equations with time dependent locally Lipschitz coefficients
Averaging principle for slow-fast stochastic differential equations with time dependent locally Lipschitz coefficients Open
This paper is devoted to studying the averaging principle for stochastic differential equations with slow and fast time-scales, where the drift coefficients satisfy local Lipschitz conditions with respect to the slow and fast variables, an…
View article: Averaging principle for a class of stochastic differential equations
Averaging principle for a class of stochastic differential equations Open
This paper is devoted to studying the averaging principle for stochastic differential equations with slow and fast time-scales, where the drift coefficients satisfy local Lipschitz conditions with respect to the slow and fast variables, an…
View article: Uniform dimension results for a family of Markov processes
Uniform dimension results for a family of Markov processes Open
In this paper, we prove uniform Hausdorff and packing dimension results for the images of a large family of Markov processes. The main tools are the two covering principles in Xiao (In Fractal Geometry and Applications: A Jubilee of Benoît…