Additional file 1 of Individualized coracoid osteotomy and 3D congruent arc reconstruction of glenoid for the treatment of recurrent anterior shoulder dislocation

Supplementary material video (from preoperative virtual design to postoperative real images, 3D dynamic display of congruent arc glenoid reconstruction. (VOB 146 mb

DataSheet1_Flood impact on urban roads and commuting: A case study of Wuhan, China.docx

Rainfall events have become more frequent and more serious, leading to rampant floods. Floods in urban areas greatly impair the serviceability of the transport system and cause disruption to commuting. However, little is known about the commute response under various rainfall scenarios in developing country cities despite the uncertainty of climate change. A high-resolution flood modeling module and a commute simulation module were integrated to examine the impact on commuting under floods. Flood maps under three rainfall scenarios with increasing rainfall intensity and duration were obtained, and road vulnerability was assessed considering the speed drop. We innovatively employed location-based service big data to perform commute simulation under floods based on the shortest time cost principle. The results show that a large amount of passable but affected commuters become disconnected commuters as the rainfall intensity increases. Also, commute loss of each traffic zone would not increase linearly, which means that the emphasis and strategy of disaster prevention and mitigation are not the same in different rainfall scenarios. We integrated hot spots of flood exposure, road vulnerability, and commuting loss and found that there was inconsistent spatial distribution between the three indicators. This indicates that areas need to take different measures according to the local damage characteristics. This work studied the relationship between severe weather conditions and commuting activity performance at the city level and has important practical guiding significance for building resilient cities.</p

Optical Fiber Surface Plasmon Resonance Sensor for Glyceryl Tributyrate Detection Based on the PAA/CS Composite Hydrogel Embedding Protease Method

Glycerol tributyrate as a low-density lipoprotein plays a crucial role in drug development and food safety. In this work, a novel high-stability fiber optic sensor for glyceryl tributyrate based on the poly(acrylic acid) (PAA) and chitosan (CS) composite hydrogel embedding method is first proposed. Compared with traditional functionalization, the lipase in a polymer network structure used in this article can not only avoid chemical reactions that cause damage to the enzyme structure but also avoid the instability of ionic bonds and physical adsorption. Therefore, the PAA/CS hydrogel method proposed in this article can effectively retain enzyme structure. First, the impact of different layers (one to five layers) of PAA/CS on pH sensing performance was explored, and it was determined that layers 1–3 could be used for subsequent sensing experiments. Within the linear detection range of 0.5–10 mM, the detection sensitivities of the one to three layers of the biosensor are divided into 0.65, 0.95, and 1.51 nm/mM, respectively, with the three layers having the best effect. When the number of coating layers is three, the detection limit of the sensor is 0.47 mM, meeting the millimole level detection standard for anticancer requirement. Furthermore, the stability and selectivity of the sensor (in the presence of hemoglobin, urea, cholesterol, acetylcholine, and glucose) were analyzed. The three-layer sensor is used for sample detection. At concentrations of 1–10 mM, the absolute value of the recovery percentage (%) is 82–99%, which can accurately detect samples. The sensor proposed in this paper has the advantages of low sample consumption, high sensitivity, simple structure, and label-free measurement. The enzyme-embedding method provides a new route for rapid and reliable glyceryl tributyrate detection, which has potential applications in food safety as well as the development of anticancer drugs

Haplotype analysis of the <i>E4</i> gene region.

<p>The SNPViz clustering pictorial displayed the SNPs in a 12.6-kb region on chromosome 20, which included Glyma20g22160. Nucleotide polymorphisms were examined in A) the wild (black) and cultivated (red) lines from the Chinese collection and B) the NAM parents (blue). Details about the SNPViz clustering pictorial were described in the <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094150#pone-0094150-g001" target="_blank">Figure 1</a> legend.</p

Haplotype analysis of the <i>E3</i> gene region.

<p>The SNPViz clustering pictorial displayed the SNPs in a 14.4-kb region on chromosome 19, which included Glyma19g41210. Nucleotide polymorphisms were examined in A) the wild (black) and cultivated (red) lines from the Chinese collection and B) the NAM parents (blue). Details about the SNPViz clustering pictorial were described in the <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094150#pone-0094150-g001" target="_blank">Figure 1</a> legend.</p

Maturity and growth determinate genotypes for cultivated soybean.

1<p><i>E3</i> and <i>E4</i> genotypes are not shown because the causative SNP was not identified in the data.</p

Major Soybean Maturity Gene Haplotypes Revealed by SNPViz Analysis of 72 Sequenced Soybean Genomes

<div><p>In this Genomics Era, vast amounts of next-generation sequencing data have become publicly available for multiple genomes across hundreds of species. Analyses of these large-scale datasets can become cumbersome, especially when comparing nucleotide polymorphisms across many samples within a dataset and among different datasets or organisms. To facilitate the exploration of allelic variation and diversity, we have developed and deployed an in-house computer software to categorize and visualize these haplotypes. The SNPViz software enables users to analyze region-specific haplotypes from single nucleotide polymorphism (SNP) datasets for different sequenced genomes. The examination of allelic variation and diversity of important soybean [<i>Glycine max</i> (L.) Merr.] flowering time and maturity genes may provide additional insight into flowering time regulation and enhance researchers' ability to target soybean breeding for particular environments. For this study, we utilized two available soybean genomic datasets for a total of 72 soybean genotypes encompassing cultivars, landraces, and the wild species <i>Glycine soja</i>. The major soybean maturity genes <i>E1</i>, <i>E2</i>, <i>E3</i>, and <i>E4</i> along with the <i>Dt1</i> gene for plant growth architecture were analyzed in an effort to determine the number of major haplotypes for each gene, to evaluate the consistency of the haplotypes with characterized variant alleles, and to identify evidence of artificial selection. The results indicated classification of a small number of predominant haplogroups for each gene and important insights into possible allelic diversity for each gene within the context of known causative mutations. The software has both a stand-alone and web-based version and can be used to analyze other genes, examine additional soybean datasets, and view similar genome sequence and SNP datasets from other species.</p></div

Haplotype analysis of the <i>E2</i> gene region for the NAM parents.

<p>The SNPViz clustering pictorial displayed the SNPs in a 28.3-kb region on chromosome ten, which included Glyma10g36600. Nucleotide polymorphisms were examined in the NAM parents (blue). Details about the SNPViz clustering pictorial were described in the <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094150#pone-0094150-g001" target="_blank">Figure 1</a> legend.</p

Reported polymorphic alleles of major maturity genes with reference to the Williams 82 sequence.

1<p>Uppercase allele designations indicate the dominant functional versions of the gene. In each case, the recessive mutant version of the gene is earlier flowering and maturing than the functional dominant version of the gene. The Williams 82 genome contains an earlier maturing missense version of <i>E1</i> (<i>e1-as</i>; T15R compared to the wild-type functional <i>E1</i>) <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094150#pone.0094150-Xia1" target="_blank">[5]</a>. Allele names are taken or modified from the published descriptions for clarity.</p>2<p>The underlined alleles were identified and described in the literature but were not present in the two datasets used for this analysis.</p>3<p>Although the Williams 82 <i>E3</i> allele is considered functional, it was shown to contain an insertion in intron three consisting of transposable element-like sequences when compared to other functional <i>E3</i> alleles without the insertion in intron 3 <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094150#pone.0094150-Watanabe2" target="_blank">[7]</a>. We herein denote the <i>E3</i> from Williams 82 as <i>E3</i> and the equivalently functional shorter <i>E3</i> allele as <i>E3 (short)</i>.</p

Haplotype analysis of the <i>E2</i> gene region for the Chinese collection.

<p>The SNPViz clustering pictorial displayed the SNPs in a 28.3-kb region on chromosome ten, which included Glyma10g36600. Nucleotide polymorphisms were examined in the wild (black) and cultivated (red) lines from the Chinese collection.</p