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Translation inhibition is a major but poorly understood mode of action of microRNAs (miRNAs) in plants and animals. In particular, the subcellular location where this process takes place is unknown. Here, we show that the translation inhibition, but not the mRNA cleavage activity, of Arabidopsis miRNAs requires ALTERED MERISTEM PROGRAM1 (AMP1). AMP1 encodes(More)
Technologies to achieve the specific and precise knockout of genes are critical for understanding gene functions and fundamental biological processes. Targeted genome editing as a new and efficient method to mutate genes has been rapidly used in many organisms. Compared with the earlier systems, such as zinc finger nucleases (ZFNs) and transcription(More)
This paper 1 proposes a lossless data hiding technique for JPEG images based on histogram pairs. It embeds data into the JPEG quantized 8x8 block DCT coefficients and can achieve good performance in terms of PSNR versus payload through manipulating histogram pairs with optimum threshold and optimum region of the JPEG DCT coefficients. It can obtain higher(More)
Stem cells are crucial in morphogenesis in plants and animals. Much is known about the mechanisms that maintain stem cell fates or trigger their terminal differentiation. However, little is known about how developmental time impacts stem cell fates. Using Arabidopsis floral stem cells as a model, we show that stem cells can undergo precise temporal(More)
The reprogramming of epigenetic states in gametes and embryos is essential for correct development in plants and mammals. In plants, the germ line arises from somatic tissues of the flower, necessitating the erasure of chromatin modifications that have accumulated at specific loci during development or in response to external stimuli. If this process occurs(More)
This paper 1 presents a new steganalysis scheme to attack JPEG steganography. The 360 dimensional feature vectors sensitive to data embedding process are derived from multidirectional Markov models in the JPEG coefficients domain. The class-wise non-principal components analysis (CNPCA) is proposed to classify steganograpghy in the high-dimensional feature(More)
This paper proposes a new Agent-Oriented Software Engineering (AOSE) method – MESSIA. MESSIA is built on two popular AOSE methodologies: GAIA and MESSAGE. While, it has its own characteristics: 1) MESSIA unites the analysis models of GAIA with the refinement strategy of MESSAGE, which bridges the large gap between the system requirements and the(More)