The Coloring Mechanism of Opaque Glazes from the Changsha Kiln of the Tang Dynasty.

The Changsha Kiln of the Tang Dynasty was a major site for celadon production, yet the mechanisms behind the unique coloring of its opaque glazes remain inadequately explored. Prior research has largely focused on the general composition of these glazes, with limited understanding of the specific processes contributing to their distinct visual characteristics. This gap in knowledge hinders efforts to accurately replicate these historical glazes and fully appreciate their technological significance.

DFA-mode-dependent stability of impulsive switched memristive neural networks under channel-covert aperiodic asynchronous attacks.

This article is concerned with the deterministic finite automaton-mode-dependent (DFAMD) exponential stability problem of impulsive switched memristive neural networks (SMNNs) with aperiodic asynchronous attacks and the network covert channel. First, unlike the existing literature on SMNNs, this article focuses on DFA to drive mode switching, which facilitates precise system behavior modeling based on deterministic rules and input characters. To eliminate the periodicity and consistency constraints of traditional attacks, this article presents the multichannel aperiodic asynchronous denial-of-service (DoS) attacks, allowing for the diversity of attack sequences.

Model design and exponential state estimation for discrete-time delayed memristive spiking neural P systems.

This paper investigates the exponential state estimation of the discrete-time memristive spiking neural P system (MSNPS). The spiking neural P system (SNPS) offers algorithmic support for neural morphology computation and AI chips, boasting advantages such as high performance and efficiency. As a new type of information device, memristors have efficient computing characteristics that integrate memory and computation, and can serve as synapses in SNPS.

RetVes segmentation: A pseudo-labeling and feature knowledge distillation optimization technique for retinal vessel channel enhancement.

Recent advancements in retinal vessel segmentation, which employ transformer-based and domain-adaptive approaches, show promise in addressing the complexity of ocular diseases such as diabetic retinopathy. However, current algorithms face challenges in effectively accommodating domain-specific variations and limitations of training datasets, which fail to represent real-world conditions comprehensively. Manual inspection by specialists remains time-consuming despite technological progress in medical imaging, underscoring the pressing need for automated and robust segmentation techniques.

Mode-Mixed Effects Based Intralayer-Dependent Impulsive Synchronization for Multiple Mismatched Multilayer Neural Networks.

This article focuses on the intralayer-dependent impulsive synchronization of multiple mismatched multilayer neural networks (NNs) with mode-mixed effects. Initially, a novel multilayer NN model that removes the one-to-one interlayer coupling constraint and introduces nonidentical model parameters is first established to meet diverse modeling requirements in complex applications. To help the multilayer target NNs with mismatched connection coefficients and time delays achieve synchronization, the hybrid controller is designed using intralayer-dependent impulsive control and switched feedback control approaches.

Bayesian Depth-Wise Convolutional Neural Network Design for Brain Tumor MRI Classification.

In recent years, deep learning has been applied to many medical imaging fields, including medical image processing, bioinformatics, medical image classification, segmentation, and prediction tasks. Computer-aided detection systems have been widely adopted in brain tumor classification, prediction, detection, diagnosis, and segmentation tasks. This work proposes a novel model that combines the Bayesian algorithm with depth-wise separable convolutions for accurate classification and predictions of brain tumors.

Relaxed Exponential Stabilization for Coupled Memristive Neural Networks With Connection Fault and Multiple Delays via Optimized Elastic Event-Triggered Mechanism.

This article investigates the problem of relaxed exponential stabilization for coupled memristive neural networks (CMNNs) with connection fault and multiple delays via an optimized elastic event-triggered mechanism (OEEM). The connection fault of the two or some nodes can result in the connection fault of other nodes and cause iterative faults in the CMNNs. Therefore, the method of backup resources is considered to improve the fault-tolerant capability and survivability of the CMNNs.

Asynchronous H control of Markov jump discrete-time systems with incomplete transition probability and unreliable links.

In this study, an asynchronous H state feedback controller is devised for Markov jump discrete-time systems (MJDTSs) with time-varying delay. "Asynchronous" means that the system switching mode θ, the controller mode ϑ and the quantizer mode λ are different from each other. The first one is homogeneous and the last two are non-homogeneous.

LncRNA Knockdown Inhibits Retinoblastoma Progression by miR-3619-5p/LASP1 Axis.

Retinoblastoma (RB) is the most common intraocular tumor in childhood. Long non-coding RNA (lncRNA) nuclear paraspeckle assembly transcript 1 has been reported to be related to RB progression. This study aims to study the molecular mechanism of in regulating cell cycle, proliferation, apoptosis, migration, and invasion in RB.

Exponential synchronization of stochastic delayed memristive neural networks via a novel hybrid control.

This paper investigates the exponential synchronization issue of stochastic delayed memristive neural networks (SDMNNs) via a novel hybrid control (HC), where impulsive instants are determined by the state-dependent trigger condition. The switching and quantification strategies are applied to the event-based impulsive controller to cope with the challenges induced concurrently by interval parameters, impulses, stochastic disturbance and time-varying delays. Furthermore, the control costs can be reduced and communication channels and bandwidths can be saved by using this designed controller.

Extended Robust Exponential Stability of Fuzzy Switched Memristive Inertial Neural Networks With Time-Varying Delays on Mode-Dependent Destabilizing Impulsive Control Protocol.

This article investigates the problem of robust exponential stability of fuzzy switched memristive inertial neural networks (FSMINNs) with time-varying delays on mode-dependent destabilizing impulsive control protocol. The memristive model presented here is treated as a switched system rather than employing the theory of differential inclusion and set-value map. To optimize the robust exponentially stable process and reduce the cost of time, hybrid mode-dependent destabilizing impulsive and adaptive feedback controllers are simultaneously applied to stabilize FSMINNs.

MicroRNA-141-3p inhibits retinal neovascularization and retinal ganglion cell apoptosis in glaucoma mice through the inactivation of Docking protein 5-dependent mitogen-activated protein kinase signaling pathway.

Retinal neovascularization occurs in various ocular disorders including proliferative diabetic retinopathy and secondary neovascular glaucoma, resulting in blindness. This paper aims to investigate the effect of microRNA-141-3p (miR-141-3p) on retinal neovascularization and retinal ganglion cells (RGCs) in glaucoma mice through the Docking protein 5 (DOK5)-mediated mitogen-activated protein kinase (MAPK) signaling pathway. Chip retrieval and difference analysis were used for the potential mechanism of miR-141-3p on glaucoma.

Gene module analysis of juvenile myelomonocytic leukemia and screening of anticancer drugs.

Juvenile myelomonocytic leukemia (JMML) is a rare but severe primary hemopoietic system tumor of childhood, most frequent in children 4 years and younger. There are currently no specific anticancer therapies targeting JMML, and the underlying gene expression changes have not been revealed. To define molecular targets and possible biomarkers for early diagnosis, optimal treatment, and prognosis, we conducted microarray data analysis using the Gene Expression Omnibus, and constructed protein‑protein interaction networks of all differentially expressed genes.

LOXL1 Gene Polymorphism With Exfoliation Syndrome/Exfoliation Glaucoma: A Meta-Analysis.

Aim: There were several studies that have researched the associations between lysyl oxidase-like 1 (LOXL1) gene polymorphism and the susceptibility to exfoliation syndrome (XFS)/exfoliation glaucoma (XFG), but results have been inconclusive.

Materials And Methods: A meta-analysis was performed for deriving more exact estimation of the relationship. Twenty-five studies were selected for studying rs1048661 and rs3825942.

[Drug dynamics research of salvia miltiorrhiza in rabbit plasma and aqueous humor after intravenous injection].

Objectives: To assess the permeability of Danshensu at blood-ocular barrier and its characteristics of pharmacokinetics by respectively measuring the concentrations of Danshensu in blood plasma and aqueous humor of the rabbit with the high performance liquid chromatography(HPLC).

Methods: It was an experimental study. Seventy-two white rabbits were split into three groups: control group (6 rabbits), plasma group (6 rabbits) and aqueous humor group (60 rabbits).

PLANEX: the plant co-expression database.

Background: The PLAnt co-EXpression database (PLANEX) is a new internet-based database for plant gene analysis. PLANEX (http://planex.plantbioinformatics.

The p.Arg86Gln change in GARP2 (glutamic acid-rich protein-2) is a common West African-related polymorphism.

Background/aims: The aim of the present study is to probe the potential association between previously-reported GARP2 mutations and retinitis pigmentosa (RP) using Scottish RP patients and controls.

Methods: Exons 4, 5 and 8 in DNA from blood or buccal samples (130 autosomal recessive and simplex RP patients, 31 controls) were amplified and analysed for single-strand conformational polymorphism by capillary electrophoresis (CE-SSCP) and confirmed by sequencing.

Results: The p.

Proteomics analysis of water insoluble-urea soluble crystallins from normal and dexamethasone exposed lens.

Purpose: The aim of this study was to identify glucocorticoid induced cataracts (GIC)-specific modified water insoluble-urea soluble (WI-US) crystallins and related changes after rat lens were exposed to dexamethasone (Dex).

Methods: We separated WI-US lens proteins by two-dimensional electrophoresis (2-DE). The crystallins were then analyzed with matrix assisted laser desorption/ionization time-of-flight tandem mass spectrometry (MALDI-TOF-MS/MS).

Ocular pharmacokinetic study on baicalin in lens of rabbits following intragastric administration.

Purpose: This paper is to study the pharmacokinetic features of baicalin in lens through observing baicalin's concentration changes in lens of rabbits following intragastric administration.

Methods: Forty-four rabbits were randomly divided into 11 groups. The lens were collected at the beginning without any intragastric administration, and then collected after 15 minutes following intragastric administration of 80 mg/kg baicalin, and continually collected individually after 0.