Background To date, several studies have indicated a major role for microRNAs (miRNAs) in regulating plant development, but miRNA-mediated regulation of the developing somatic embryo is poorly understood, especially during early stages embryogenesis hardwood plants. In this study, Solexa sequencing and miRNA microfluidic chips were used to discover conserved species-specific miRNAs hybrid yellow poplar (Liriodendron tulipifera×L. chinense). Methodology/Principal Findings A total 17,214,153...

<title>Abstract</title> As the manufacturing industry progresses towards more automated and intelligent systems, manipulators are increasingly employed in tasks such as assembly logistics handling. Traditional path planning algorithms like RRT RRT* often result inefficient robot arm operations, generating excessive joint revolutions large travel distances for end-effector. Additionally, sharp turns produced by these not suitable smooth execution of manipulators. This research introduces a...

With the rapid growth in credit industry, scoring classifiers are being widely used for admission evaluation. Effective have been regarded as a critical topic, with related departments striving to collect huge amounts of data avoid making wrong decision. Finding effective classifier is important because it will help people make an objective decision instead them having rely merely on intuitive experience. This study proposes two well-known classifiers, namely, K-Nearest Neighbor (KNN),...

A protocol has been developed for the synthesis of α-aryl-oxindoles from isatin and Grignard reagents in presence diphenyl phosphite first time. This reaction was conveniently carried out under mild conditions a one-pot fashion with moderate to excellent yields.

The energy use analysis of coal-fired power plant units is significance for conservation and consumption reduction. One the most serious problems attributed to Chinese plants coal waste. Several in one may experience a practical rated output situation at same time, which increase plant. Here, we propose new hybrid methodology plant-level load optimization minimize plants. proposed includes two parts. part determines reference value controllable operating parameters net under typical...

The limited autonomy of flight has long been considered a significant constraint in drone systems. In the context inspections power lines, this study focuses on equipped with coil designed for autonomous battery charging. Positioned atop is charging coil, and upper surface, there an upward-facing camera restricted field-of-view (FOV), serving crucial role aligning lines. This research introduces wireless transfer strategy to facilitate self-charging process while maintaining its position...

Abstract The reduction of 2-nitrophenylacetic acids to oxindoles promoted by SmI2 is reported for the first time. This reaction involving nitro group proceeds through N–O bond cleavage and direct condensation with neighboring carboxyl group. From a synthetic point view, new method synthesis in mild neutral conditions developed.

The credit scoring has been regarded as a critical topic and its related departments make efforts to collect huge amount of data avoid wrong decision. An effective classificatory model will objectively help managers instead intuitive experience. This study proposes five approaches combining with the back-propagation neural network (BPN) classifier for features selection that retains sufficient information classification purpose. Different models are constructed by selecting attributes...

Abstract The reduction of cyanoximes to aromatic nitriles is reported for the first time, via N‐centered anions from reductive cleavage N− ΘΘΘΘΘΘ O bond in promoted by SmI 2 . A mild, safe, and efficient method synthesis a one‐pot fashion with excellent yields was developed.

For the widespread alarm logs in power generation and communication network equipment, it is difficult for professional maintenance staff to locate cause remedy equipment faults. In terms of this issue, we propose an alarm-fault rule extraction method based on explainable artificial intelligence technology. We use time sequence diagram express information build statistical features, important features are selected weight random forest algorithm. Then different combinations a series decision...

This study is an extension of research conducted by Rahim and Banerjee (Journal Naval Research Logistics 40 (1993), pp.787-809) to construct economic design approach control chart for simultaneously monitoring several quality characteristics under a Gamma shock model with increasing failure rate. Furthermore, measure the advantage Hotelling's T <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> variable sampling interval (VSI) versus...

Recently, both the non-uniform sampling scheme and economic statistical design approaches have been successfully applied to determine three parameters of X̅ control charts (including sample size, interval between successive samples, limits) for monitoring a manufacturing process with increasing hazard functions. Nevertheless, primary assumption these cost models is that measurements within are independent. However, conventional supposition may underestimate significantly type I error...

Due to the limited number of identifiable features that can be extracted, existing methods for detecting small defects on surface automobile differential housings have difficulty balancing detection speed and accuracy. This paper proposes a lightweight feature fusion single multibox detector with larger receptive field (RFSSD) algorithm improve performance defect detection. Firstly, model replaces VGG16, backbone network shot (FSSD) algorithm, MobileNet create more practical structure...