Clathrin-mediated endocytosis, which depends on the AP2 complex, plays an essential role in many cellular and developmental processes mammalian cells. However, function of complex plants remains largely unexplored. Here, we show Arabidopsis that σ subunit mutant (ap2 σ) displays various defects are similar to those mutants defective auxin transport and/or signaling, including single, trumpet-shaped triple cotyledons, impaired vascular pattern, reduced vegetative growth, silique development...

A UV-induced self-assembly based on N-methyl-N-cetylpyrrolidinium bromide (C16MPBr) and sodium (4-phenylazo-phenoxy)-acetate (AzoNa) was fabricated in the present work through facile mixing of C16MPBr trans-AzoNa water. Due to trans-cis photoisomerization functionality AzoNa, this possesses photo-responsive properties. Under ambient conditions, morphology wormlike micelles with a high viscosity about 10 Pa s, whereas after applying UV light, transformed into spherical dramatically lowered...

Abstract In reliability engineering, it is frequently encountered that multiple performance characteristics (PCs) deteriorate simultaneously. The associated degradation processes are usually dependent and exhibit some heterogeneity from unit to unit, which makes the multivariate modeling evaluation more challenging. To this end, we propose a new gamma process model. This model introduces random vector, whose joint distribution constructed by marginal distributions copula function, describe...

Summary The dynamic ranking, due to its increasing importance in many applications, is becoming crucial, especially with the collection of voluminous time‐dependent data. One such application sports statistics, where ranking aids forecasting performance competitive teams, drawing on historical and current Despite usefulness, predicting inferring rankings pose challenges environments necessitating modelling. This paper introduces a spectral ranker called Kernel Rank Centrality, designed rank...

In engineering practice, degradation analysis often suffers from the small-sample problem. To this end, several generative models are developed to expand data, based on which both original data and synthetic used train neural networks for prediction. However, these methods rarely compared with each other, performances of competitive candidates not explored. Given this, paper reviews some machine learning-based performs a comparison among them. Particularly, segmented sampling method is...

In Amazon's spot instance (SI) market, the volatility of two important parameters, namely price (SP) and inter-price time (IPT), affects not only market's profit, but also its service reliability. Thus, it is for cloud provider to understand how SP IPT impact profit-reliability trade-off in SI market. To best our knowledge, such a has been studied existing liter-ature. this paper, we model market as modified repeated single-price auction study profit maximization problem using graph model....

As deregulation of the power industry is becoming a reality, there has been an intense interest in strategic bidding for suppliers to optimize their benefits. The benefit gained by supplier related not only its energy-price bid curve but also submitted operational parameters such as minimum output, etc. This especially so when market size limited because number competitors itself or due transmission capacity constraints. paper addresses study output deregulated environment. impact bids on...

The paper presents a gamma process based model for the total points processes of NBA basketball matches. This obtains useful formula in-play prediction. What is more, we employ bookmaker's betting line to adjust original model. out-of-sample forecasting performances are evaluated, and more profoundly, this can produce positive return on over–under market. Besides, our has an application in monitoring market, which may be bettors.

This paper investigates the problem of modeling and forecasting outcomes NBA basketball games based on performance statistics. A bivariate normal mean regression model is developed to scores Two methods for statistics ex ante are proposed in order predict games, including final two teams probability that a specific team wins game. Besides, betting strategy efficiency tests handicap market conducted. Empirical study shows works well.

The generation of Traditional Chinese Medicine (TCM) prescription is one the most challenging tasks in research intelligent TCM. Current researches usually use transfer learning methods to apply relevant technology text this task simply and roughly. Either they need train a model with large number standardized dataset, or ignore domain knowledge expertise In order solve these problems, we propose hybrid neural network architecture for TCM generation— <italic...

Point process models have made a significant contribution to the prediction of football association outcomes. It is conventionally case that defence and attack capabilities been assumed be constant during match estimated against average performance all other teams in history. Drawing upon Bayesian method, this paper proposes dynamic strength model which relaxes assumption teams’ strengths permits applying in-match information calibrate them. An empirical study demonstrates although fails...

In this article, a discrete-time and finite-state Markov chain model is developed to fit the NBA basketball data. It can be used produce in-play prediction for matches. An iterative algorithm designed calculate probabilities of final score difference. Empirical study shows that proposed performs well, more profoundly it have positive return when we bet with market.

By incorporating a methoxy group at the 6- and 7-sites of quinazoline ring phenylquinazoline cyclometalating ligands, iridium complexes realize pure red phosphorescence. The PHOLED based on Ir2 achieves CIE (0.65, 0.34) higher external quantum efficiency 26.22%.

The control rod drive mechanism coil plays an important role in controlling the movement of rod. This paper investigates thermal aging by analyzing collected accelerated life data. Arrhenius-Lognormal Regression Model and Arrhenius-Weibull are introduced, then parameters some quantities interest as well their confidence intervals estimated. Empirical study shows that provides a better fit to

Genetic load and inbreeding are recognized as important factors to be considered in conservation programs. Elevated levels of both can increase the risk population extinction by negatively impacting fitness-related characters many species plants animals, including humans (inbreeding depression). Genomic techniques increasingly used measuring understanding genetic their importance evolution conservation. We use whole genome resequencing data from two sibling grouse subarctic Eurasia quantify...