126 research outputs found
Quantum Synchronizable Codes From Quadratic Residue Codes and Their Supercodes
Quantum synchronizable codes are quantum error-correcting codes designed to
correct the effects of both quantum noise and block synchronization errors.
While it is known that quantum synchronizable codes can be constructed from
cyclic codes that satisfy special properties, only a few classes of cyclic
codes have been proved to give promising quantum synchronizable codes. In this
paper, using quadratic residue codes and their supercodes, we give a simple
construction for quantum synchronizable codes whose synchronization
capabilities attain the upper bound. The method is applicable to cyclic codes
of prime length
Information-Coupled Turbo Codes for LTE Systems
We propose a new class of information-coupled (IC) Turbo codes to improve the
transport block (TB) error rate performance for long-term evolution (LTE)
systems, while keeping the hybrid automatic repeat request protocol and the
Turbo decoder for each code block (CB) unchanged. In the proposed codes, every
two consecutive CBs in a TB are coupled together by sharing a few common
information bits. We propose a feed-forward and feed-back decoding scheme and a
windowed (WD) decoding scheme for decoding the whole TB by exploiting the
coupled information between CBs. Both decoding schemes achieve a considerable
signal-to-noise-ratio (SNR) gain compared to the LTE Turbo codes. We construct
the extrinsic information transfer (EXIT) functions for the LTE Turbo codes and
our proposed IC Turbo codes from the EXIT functions of underlying convolutional
codes. An SNR gain upper bound of our proposed codes over the LTE Turbo codes
is derived and calculated by the constructed EXIT charts. Numerical results
show that the proposed codes achieve an SNR gain of 0.25 dB to 0.72 dB for
various code parameters at a TB error rate level of , which complies
with the derived SNR gain upper bound.Comment: 13 pages, 12 figure
miR-92a promotes hepatocellular carcinoma cells proliferation and invasion by FOXA2 targeting
Objective(s): MicroRNAs (miRNAs) are considered as powerful, post-transcriptional regulators of gene expression in hepatocellular carcinoma cells (HCC). However, the function of miR-92a is still unclear in HCC. Materials and Methods: Expression of miR-92a in human HCC cell lines was evaluated using qRT-PCR. MTT assay and transwell assay were used to examine the function of miR-92a in HepG2 and Huh7 cells. Bioinformatic analyses and luciferase reporter assays were used to validate FOXA2 as a direct target gene of miR-92a. Consistently, the biological outcome of miR-92a on regulating FOXA2 was examined by proliferation and invasion analysis in vitro. Results: Here, we detected the higher expression of miR-92a in human HCC cell lines, such as HepG2, Huh7 and Hep3B, compared with the normal human hepatocyte L02 cells. Overexpression of miR-92a significantly increased cell growth and invasion ability, while the knockdown of miR-92a could remarkably inhibit the growth and invasion possibility. We identified that miR-92a has specific targeting sites in the 3'-UTR of the FOXA2. By overexpressing miR-92a in HepG2 cells or Huh7 cells, the expression of FOXA2 was remarkably repressed. Conclusion: We demonstrated that miR-92a may play a critical role in HCC proliferation and invasion and may serve as a novel therapeutic target by the repression of FOXA2
Failure to Complete Cross-Border M&As:“To”vs.“From” Emerging Markets
周晨希是厦门大学管理学院2015年引进的海归博士,受聘为“群贤计划”市场学助理教授。他是美国佛罗利达大学商学院营销学专业博士,主要从事企业战略管理、行为经济学等方面的研究。
本研究调查涉及新兴市场跨国并购完成的预测因数如何取决于全球扩张的方向,即向发展中市场的入境投资或来自发达市场的出境投资。【Abstract】While cross-border mergers and acquisitions (M&As) involving emerging markets have been increasing in recent years, a high percentage collapse before completion. This study investigates how the predictors of cross-border M&A completion involving emerging markets depend upon the direction of global expansion, i.e., investment inbound to a developing market or outbound from a developing market. Analysis based on 15 years of data from four emerging economies, Brazil, Russia, India, and China, from 1995 to 2010,reveals fundamental differences in the predictors of inbound vs. outbound M&A completion. Country-level factors reflecting differences in political, trade,and legal environments strongly affect the completion for inbound M&As, but have a much weaker influence on outbound M&As. By contrast, firm-level factors such as past M&A experience have a significantly stronger effect on
completion for outbound than for inbound M&As. Most interestingly, two deal-level factors (the percentage of stake sought by the acquirer and whether or not the deal is a cash transaction) increase the likelihood of completion for inbound but decrease it for outbound M&As. These findings have important managerial implications for enhancing the success of global expansions
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