In grid-connected LCL-filtered inverters, the dual-loop current control is widely used. The LCL resonance highly damped by proper feedback of capacitor current. To suppress low-frequency harmonics, a grid-voltage feedforward commonly However, system performance with such declined when connecting to weak grid. Phase and gain margins are largely reduced while proportional get worse instability aroused if derivative further implemented. Besides, negative impact on rejection grid-voltage-induced...

Tea is a significant cash crop grown widely around the world. Currently, tea plucking predominantly relies on manual work. However, due to aging population and increasing labor costs, machine has become an important trend in industry. The determination of position posture critical prerequisite for leaves. In order improve accuracy efficiency leaves, method presented this paper determine point based instance segmentation deep learning network. study, images dataset were first labeled using...

The hyperspectral image super resolution (HSISR) task has been thoroughly researched and shown notable advancements. However, existing deep neural network-based methods for HSISR face challenges in effectively utilizing global spectral-spatial information. While transformer-based models exhibit strong modelling capabilities, their high computational complexity poses a challenge when applied to processing. Recently, state space (SSM) with efficient hardware-aware design, such as Mamba, have...

A mild and selective C6 arylation strategy for pyrrolo[2,3-d]pyrimidine derivatives with arylboronic acids at room temperature is described. This unified protocol has been achieved by the synergistic combination of Pd(II)/TEMPO catalysis CF3CO2H promotion under silver-, base-, additive-free conditions. The broad substrate scope, good functional group tolerance, excellent regioselectivity, air moisture tolerant conditions make this process attractive effective synthesis modification targeted...

As the raw material for tea making, quality of leaves directly affects finished tea. The fresh is mainly assessed by manual judgment or physical and chemical testing content internal components. Physical methods are more mature, test results accurate objective, but traditional measuring biochemical indexes time-consuming, labor-costly, complicated, destructive. With rapid development imaging spectroscopic technology, technology as an emerging has been widely used in non-destructive safety...

Nitrogen content is one of the essential elements in citrus leaves (CL), and many studies have been conducted to determine nutrient CL using hyperspectral technology. To address key problem that conventional spectral data-denoising algorithms directly discard high-frequency signals, resulting missing effective this study proposes a denoising preprocessing algorithm, complete ensemble empirical mode decomposition with adaptive noise joint sparse representation (CEEMDAN–SR), for data. For...

Methotrexate (MTX) as an anti-inflammatory drug for the treatment of rheumatoid arthritis (RA) through oral and injectable administration is still problematic in clinic. Herein, a MTX-loaded thermal-responsible flexible liposome (MTFL) incorporated within carbomer-based gel was prepared novel transdermal agent (MTFL/Gel) effective RA. It found that MTFL had average size approximately 90 nm, which could rapidly release under thermal conditions. The MTFL/Gel remarkably increase MTX skin...

A palladium-catalysed direct arene C-H fluoroalkoxylation of 4-aryl-pyrrolo[2,3-d]pyrimidine derivatives with fluorinated alcohols is described. Highly site-selective mono- or bis-fluoroalkoxylation can be achieved by tuning the reaction conditions, affording various fluoroalkoxylated pyrrolo[2,3-d]pyrimidine in moderate to good yields, which offer rational tailoring their biological activity for application field pharmaceutical chemistry.

In remote sensing data exploitation, the spectral mixture analysis technique is generally used to detect land cover materials and their corresponding proportions present in observed scene. Traditionally, a fixed endmember signature for each material perform unmixing task. literature, some scholars have proposed performing by taking variability into consideration. Among these spectral-variability-based approaches, multiple-endmember (MESMA) probably most widely method. However, when number of...

The loading mechanism and dynamics of ssDNA oligomers into single-walled carbon nanotubes was investigated. binding free energy is in the order A-zigzag SWNT (24,0) > T-zigzag A-armchair (14,14) T-armchair (14,14).

Detection rapidity and model accuracy are the keys to hyperspectral nondestructive testing technology, especially for Pennisetum sinese Roxb (PsR) due its extremely high adsorptive heavy metal content. The study of resolution PsR is conducive analysis accumulated content in different parts. In this paper, contents Cd, Cu Zn old leaves, young upper stem, middle stem lower as well data corresponding parts, were measured simultaneously both fresh dry states. To begin, spectral preprocessed by...

In order to precisely reproduce the precise seeding process of population in air-suction seed-metering device, it is necessary execute accurate modeling seed particles using bonded-particle model, combination with discrete element method (DEM) and computational fluid dynamics (CFD). Through repose angle, slope screening, rotating container, particle sedimentation experiments, this paper, influence filling accuracy model on flow behavior mixing characteristics was first explored based EDEM...

Laser-induced graphene (LIG) has been widely used in flexible sensors due to its excellent mechanical properties and high conductivity. In this paper, a pressure sensor prepared by bionic micro/nanostructure design LIG mass fraction regulation is reported. First, conductive carbon paste (CCP) solutions were mixed obtain polymer. After the taro leaf structure was etched on surface of aluminum alloy plate Nd:YAG laser processing, polymer evenly coated template. Pressure packaged with stencil...

In many hyperspectral image processing tasks such as classification, unmixing, and target detection, jointly using the pixels in an patch can generally improve performance. this letter, we propose a low-rank decomposition model to analyze patch. The is decomposed into sum of matrix, sparse bounded matrix convex optimization technique. obtained that are similar central pixel would be codirectional it. We applied proposed collaborative classification evaluate its Experimental results on real...

In hyperspectral image classification, jointly using the pixels in an patch can generally improve performance. Recently, a new classification method, which is based on low-rank decomposition model, was proposed by Chen et al. Although this algorithm achieve state-of-the-art performance and outperform many contemporary techniques classifying both central pixel its similar neighboring patch, computational load heavy due to pixelwise processing scheme, limits possible applications practice....

Hyperspectral unmixing is a technique that can be used to find the materials and their corresponding proportions present in observed mixed pixels. It has been widely for hyperspectral data exploitation. Traditionally, this problem solved using constrained least squares optimization, which would lead dense solution. In recent years, researchers have number of pixel generally much smaller than whole given scene. They proposed solve through sparse approaches, optimization. These approaches...

Rational surface engineering of noble metal-doped photocatalysts is essential for the efficient conversion solar energy into chemical energy, but it still challenging to perform. Herein, we reported an effective strategy structuring alloyed CuPd (CP) nanoclusters on ordered mesoporous TiO2 (CPT) by a pore confinement effect. The resultant CPT exhibited extraordinary photocatalytic activity during Stille reaction under visible light. X-ray photoelectron spectroscopy spectra, field emission...

In recent years, the classification of hyperspectral images (HSI) has received extensive research attention. As compared with traditional HSI classification, which only uses spectral information, it is found that spatial information also essential in classification. To effectively utilize and HSI, this paper proposes a triple-branch ternary-attention mechanism network deformable 3D convolution (D3DTBTA). D3DTBTA, three branches, i.e. spectral, spatial-X, spatial-Y are combined attention...