Background and purposeStroke is the leading cause of mortality and disability in China. Precise aetiological classification, imaging and biological markers may predict the prognosis of stroke. The Third China National Stroke Registry (CNSR-III), a nationwide registry of ischaemic stroke or transient ischaemic attack (TIA) in China based on aetiology, imaging and biology markers, will be considered to clarify the pathogenesis and prognostic factors of ischaemic stroke.MethodsBetween August 2015 and March 2018, the CNSR-III recruited consecutive patients with ischaemic stroke or TIA from 201 hospitals that cover 22 provinces and four municipalities in China. Clinical data were collected prospectively using an electronic data capture system by face-to-face interviews. Patients were followed for clinical outcomes at 3 months, 6 months and 1–5 year annually. Brain imaging, including brain MRI and CT, were completed at baseline. Blood samples were collected and biomarkers were tested at baseline.ResultsA total of 15 166 stroke patients were enrolled, among which 31.7% patients were women with the average age of 62.2±11.3 years. Ischaemic stroke was predominant (93.3%, n=14 146) and 1020 (6.7%) TIAs were enrolled.ConclusionsCNSR-III is a large scale nationwide registry in China. Data from this prospective registry may provide opportunity to evaluate imaging and biomarker prognostic determinants of stroke.

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Non-binary low-density parity-check (NB-LDPC) codes can achieve better error-correcting performance than their binary counterparts at the cost of higher decoding complexity when the codeword length is moderate. The recently developed iterative reliability-based majority-logic NB-LDPC decoding has better performance-complexity tradeoffs than previous algorithms. This paper first proposes enhancement schemes to the iterative hard reliability-based majority-logic decoding (IHRB-MLGD). Compared to the IHRB algorithm, our enhanced (E-)IHRB algorithm can achieve significant coding gain with small hardware overhead. Then low-complexity partial-parallel NB-LDPC decoder architectures are developed based on these two algorithms. Many existing NB-LDPC code construction methods lead to quasi-cyclic or cyclic codes. Both types of codes are considered in our design. Moreover, novel schemes are developed to keep a small proportion of messages in order to reduce the memory requirement without causing noticeable performance loss. In addition, a shift-message structure is proposed by using memories concatenated with variable node units to enable efficient partial-parallel decoding for cyclic NB-LDPC codes. Compared to previous designs based on the Min-max decoding algorithm, our proposed decoders have at least tens of times lower complexity with moderate coding gain loss.

Unlike embryos derived from fertilization, most cloned embryos die during postimplantation development, and those that survive to term are frequently defective. Many of the observed defects involve placenta. Abnormal placentation has been described in several cloned species. Imprinted genes are important regulators of placenta growth, and may be subjected to faulty reprogramming during somatic cell nuclear transfer. We aimed to determine the expression levels and methylation patterns of imprinted genes in placentas of live cloned piglets and dead ones. Quantitative real-time reverse transcriptase-polymerase chain reaction (RT-PCR) analysis showed that the expression of all four imprinted genes (IGF2, H19, PEG3, and GRB10) was significantly reduced in placentas of dead clones compared with placentas of live cloned piglets and controls (p < 0.05). In contrast, both live and dead cloned piglets exhibited steady-state mRNA levels for these genes within the control range (p > 0.05). Transcript levels for these genes in live clones rarely differed from those of controls in both piglets and placentas. Examination of the methylation status of DMR2 of IGF2 and CTCF3 of H19 genes revealed that both genes exhibited significant high methylation levels in placentas of dead clones compared with placentas of live clones and controls. In contrast, both genes showed a normal differential methylation pattern in live cloned piglets and their placentas compared with controls. Importantly, dead cloned piglets also showed a normal pattern. Our results suggest that abnormal expression of imprinted genes in placenta may contribute to the development failure in pig somatic cell nuclear transfer (SCNT), which may be caused by abnormal methylation patterns in differentially methylated regions (DMRs) of imprinted genes as a result of incomplete reprogramming during SCNT.

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In the hardware implementations of the Advanced Encryption Standard (AES) algorithm, employing composite field arithmetic not only reduces the complexity but also enables deep subpipelining such that higher speed can be achieved. In addition, it is more efficient to employ composite field arithmetic only in the SubBytes transformation of the AES algorithm. Composite fields can be constructed by using different irreducible polynomials. Nevertheless, how the different constructions affect the complexity of the composite implementation of the SubBytes has not been analyzed in prior works. This brief presents 16 ways to construct the composite field (( (2 2 ) 2 ) 2 ) for the AES algorithm. Analytical results are provided for the effects of the irreducible polynomial coefficients on the complexity of each involved subfield operation. In addition, for each construction, there exist eight isomorphic mappings that map the elements in (2 8 ) to those in composite fields. The complexities of these mappings vary. An efficient algorithm is proposed in this brief to find all isomorphic mappings. Based on the complexities of both the subfield operations and the isomorphic mappings, the optimum constructions of the composite field for the AES algorithm are selected to minimize gate count and critical path.Index Terms-Advanced Encryption Standard (AES) algorithm, composite field, isomorphic mapping, multiplicative inversion.

Structural variations (SVs) are a major contributor of genetic diversity and phenotypic variations, however their prevalence and functions in domestic animals are largely unexplored. Here, we assembled 26 haplotype-resolved genome assemblies from 13 genetically diverse sheep breeds using PacBio HiFi sequencing. We then constructed an ovine graph pan-genome and demonstrated its advantage in discovering 142,593 biallelic SVs (Insertions and deletions), 7,028 divergent alleles and 13,419 multiallelic variations with high accuracy and sensitivity. To link the SVs to genotypes, we genotyped the SVs in 687 resequenced individuals of domestic and wild sheep using a graph-based approach and identified numerous population-stratified variants, of which expression-associated SVs were detected by integrating RNA-seq data. Taking the varying sheep tail morphology as example, we located a putative causative insertion in HOXB13 gene responsible for the long tail and reported multiple large SVs associated with the fat tail. Beyond generating a benchmark resource for ovine structural variants, our study also highlighted that the population genetics analysis based on graph pan-genome rather than reference genome will greatly benefit the animal genetic research.