Polarity of structure and of ordered nerve connections in the developing amphibian brain.

Tectal polarity for retinal connections remains reversible long after the anatomical pattern of neural structures has been determined. Cells in the diencephalon seem to control this polarity. Following certain embryonic operations, the diencephalon developed behind the tectum. In such cases, the polarity of the retino-tectal projection was reversed.     

Function and regulation of Dyrk1A: towards understanding Down syndrome

Down syndrome (DS) is associated with a variety of symptoms, such as incapacitating mental retardation and neurodegeneration (i.e., Alzheimer’s disease), that prevent patients from leading fully independent lives. These phenotypes are a direct consequence of the overexpression of chromosome 21 genes, which are present in duplicate due to non-disjunction of chromosome 21. Accumulating data suggest that the chromosome 21 gene product, dual-specificity tyrosine-(Y)-phosphorylation regulated kinase 1A (Dyrk1A), participates in the pathogenic mechanisms underlying the mental and other physical symptoms of DS. In this review, we summarize the evidence supporting a role for Dyrk1A in DS, especially DS pathogenesis. Recently, several natural and synthetic compounds have been identified as Dyrk1A inhibitors. Understanding the function and regulation of Dyrk1A may lead to the development of novel therapeutic agents aimed at treating DS.     

Key factors for efficiently implementing customized e-learning system in the service industry

In recent years,e-learning system has been adopted as a training tool in many firms,as it can help employees to complete training in a short time and at a low cost.Within this context,since 2003 the Industrial Development Bureau(IDB) of the Ministry of Economic Affairs(MOEA) in Taiwan sponsored more than 50 enterprises each year to help them implement customized e-learning systems. Past research on e-learning mostly focused on one criterion and adopted regression approach,such as examining the relationsh...     

PINK1 stimulates interleukin-1β-mediated inflammatory signaling via the positive regulation of TRAF6 and TAK1

Parkinson's disease (PD) is characterized by a progressive loss of dopaminergic neurons in the substantia nigra. The cause of neuronal death in PD is largely unknown, but several genetic loci, including PTEN-induced putative kinase 1 (PINK1), have been linked to early onset autosomal recessive forms of familial PD. PINK1 encodes a serine/threonine kinase, which phosphorylates several substrates and consequently leads to cell protection against apoptosis induced by various stresses. In addition, research has shown that inflammation largely contributes to the pathogenesis of PD, but the functional link between PINK1 and PD-linked neuroinflammation remains poorly understood. Therefore, in the present study, we investigated the functional role of PINK1 in interleukin (IL)-1β-mediated inflammatory signaling. We show that PINK1 specifically binds to TRAF6 and TAK1, and facilitates the autodimerization and autoubiquitination of TRAF6. PINK1 also enhances the association between TRAF6 and TAK1, phosphorylates TAK1, and stimulates polyubiquitination of TAK1. Furthermore, PINK1 leads to the potentiation of IL-1β-mediated NF-κB activity and cytokine production. These findings suggest that PINK1 positively regulates two key molecules, TRAF6 and TAK1, in the IL-1β-mediated signaling pathway, consequently up-regulating their downstream inflammatory events.     

最小学习机

针对极端学习机(ELM)不能用于多层前向神经网络学习的问题,通过揭示单层前向神经网络(SLFN)的ELM与岭回归以及中心化的岭回归之间的关系,提出了SLFN的最小学习机.通过证明核化的中心化岭回归与核化的PCA之间的关系.提出以无限可微的核函数为激励函数的多层前向神经网络(MLFN)的最小学习机LLM.SLFN/MLFN的最小学习机能够保持ELM的上述优势.     

Quantum computational advantage via 60-qubit 24-cycle random circuit sampling

To ensure a long-term quantum computational advantage,the quantum hardware should be upgraded to withstand the competition of continuously improved classical al...     

可扩充计算年度综述

本书是《可扩充计算》丛书的第5卷。全书是由4篇综述组成的。第1篇不规则算法的并行计算策略，考虑了三个具有代表性的不规则应用；无结构重啮合、稀疏矩阵计算和N体问题。第2篇在群与网格上的大规模不规则计算的实时支持，介绍了一个正在形成的计算基础结构——在计算群集和计算网格上实施不规则数据密集应用的一种综合方法，即想法、技术、概念及软件结构；提出了并行化策略和一个叫做lib的运行时程序库，该程序库支持不规则与缺乏核心的计算，并且介绍了在安装有建立于lib基础上的软件的PC以及工作站群集所获得的试验执行结果。