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"Yansong, Ma"
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Resistance Reduction Mechanism in Slurry Pipeline Transportation Under the Action of the Swirler
Flow resistance is a critical determinant of the efficiency and economics of a slurry pipeline. This study aims to reduce pipeline resistance by integrating a swirler to enhance particle suspension. The variation laws of slurry conveying resistance with and without a swirler under various conveying conditions were investigated. Whether a swirler is present or not, the conveying resistance increases with an increase in the conveying velocity (1~6 m/s), volume concentration (10~50%), particle diameter (0.1~5 mm), particle density (1100~1500 kg/m3), and pipe inclination (0~90°). It decreases with an increase in the pipe diameter (50~200 mm). A moderate swirling intensity reduces the resistance in high-velocity large-particle slurry transport. Considering the swirling flow characteristics in the conveying pipeline, resistance loss calculation models accounting for these characteristics were established for different flow states of the slurry in the pipeline. Taking into account the swirling characteristics in the conveying pipeline, a calculation model for resistance loss of the slurry in different flow states within the pipeline was established. The average error between this model and the experimental results was 9.04%.
Journal Article
Renovation of Kiyotsu Gorge Tunnel—A Case Study on the Effect of the Combination of Visual Information and Environmental Grade in a Sequential Space on Human Psychological Response
This project is based on the hypothesis that the combination of visual information and environmental grades—such as airflow and temperature—in a uniform, sequential space can influence psychological responses. To explore this hypothesis, we selected the Kiyotsu Gorge Tunnel as a case study. This tunnel provides a controlled spatial environment with limited external visual stimuli and includes four viewing decks that open to the outside, allowing natural light, air, and temperature variation to enter the interior. The renovation was intended to couple visual stimuli with airflow variation, under the hypothesis that this co‐variation may strengthen psychological responses. Architectural elements, including water ponds and reflective mirrors, were introduced to enhance airflow or reflection from the exterior and intensify sensory engagement. Through this combination of visual and environmental cues, the project sought to create a cohesive, immersive experience throughout the entire tunnel.
Journal Article
Supragingival microbiome variations and the influence of Candida albicans in adolescent orthodontic patients with gingivitis
Gingivitis is a prevalent complication in adolescents undergoing fixed orthodontic treatments. However, changes in the supragingival microbiome associated with gingivitis and the impact of
remain elusive. Therefore, we investigated supragingival microbiome discrepancy and
colonization in adolescent orthodontic patients with gingivitis.
Dental plaques were collected from 30 gingivitis patients and 24 healthy adolescents, all undergoing fixed orthodontic treatment. The supragingival microbiome composition was analyzed using 16S rRNA sequencing.
colonization was determined using fungal culture and real-time quantitative polymerase chain reaction.
Our analysis revealed significantly heightened microbial diversity in the Gingivitis group. Notably, patients with gingivitis exhibited an enrichment of periodontal pathogens, such as
,
,
, and
. Additionally, 33% of the gingivitis patients tested positive for
, exhibiting significantly elevated levels of absolute abundance, while all healthy patients tested negative. Significant differences in microbial composition were also noted between
-positive and -negative samples in the Gingivitis group.
Significant disparities were observed in the supragingival microbiome of adolescent orthodontic patients with and without gingivitis. The presence of
in the supragingival plaque may alter the microbiome composition and potentially contribute to gingivitis pathogenesis.
Journal Article
MAD rhapsody
A sensuous and seductive vision of the future from the most promising firm in China led by Ma Yansong, an important voice in the new generation of architects.
Book
Dissection of the practical soybean breeding pipeline by developing ZDX1, a high-throughput functional array
Key messageWe developed the ZDX1 high-throughput functional soybean array for high accuracy evaluation and selection of both parents and progeny, which can greatly accelerate soybean breeding.Microarray technology facilitates rapid, accurate, and economical genotyping. Here, using resequencing data from 2214 representative soybean accessions, we developed the high-throughput functional array ZDX1, containing 158,959 SNPs, covering 90.92% of soybean genes and sites related to important traits. By application of the array, a total of 817 accessions were genotyped, including three subpopulations of candidate parental lines, parental lines and their progeny from practical breeding. The fixed SNPs were identified in progeny, indicating artificial selection during the breeding process. By identifying functional sites of target traits, novel soybean cyst nematode-resistant progeny and maturity-related novel sources were identified by allele combinations, demonstrating that functional sites provide an efficient method for the rapid screening of desirable traits or gene sources. Notably, we found that the breeding index (BI) was a good indicator for progeny selection. Superior progeny were derived from the combination of distantly related parents, with at least one parent having a higher BI. Furthermore, new combinations based on good performance were proposed for further breeding after excluding redundant and closely related parents. Genomic best linear unbiased prediction (GBLUP) analysis was the best analysis method and achieved the highest accuracy in predicting four traits when comparing SNPs in genic regions rather than whole genomic or intergenic SNPs. The prediction accuracy was improved by 32.1% by using progeny to expand the training population. Collectively, a versatile assay demonstrated that the functional ZDX1 array provided efficient information for the design and optimization of a breeding pipeline for accelerated soybean breeding.
Journal Article
Identification and Validation of Loci Governing Seed Coat Color by Combining Association Mapping and Bulk Segregation Analysis in Soybean
Soybean seed coat exists in a range of colors from yellow, green, brown, black, to bicolor. Classical genetic analysis suggested that soybean seed color was a moderately complex trait controlled by multi-loci. However, only a couple of loci could be detected using a single biparental segregating population. In this study, a combination of association mapping and bulk segregation analysis was employed to identify genes/loci governing this trait in soybean. A total of 14 loci, including nine novel and five previously reported ones, were identified using 176,065 coding SNPs selected from entire SNP dataset among 56 soybean accessions. Four of these loci were confirmed and further mapped using a biparental population developed from the cross between ZP95-5383 (yellow seed color) and NY279 (brown seed color), in which different seed coat colors were further dissected into simple trait pairs (green/yellow, green/black, green/brown, yellow/black, yellow/brown, and black/brown) by continuously developing residual heterozygous lines. By genotyping entire F2 population using flanking markers located in fine-mapping regions, the genetic basis of seed coat color was fully dissected and these four loci could explain all variations of seed colors in this population. These findings will be useful for map-based cloning of genes as well as marker-assisted breeding in soybean. This work also provides an alternative strategy for systematically isolating genes controlling relative complex trait by association analysis followed by biparental mapping.
Journal Article
Pattern recognition of rigid hoist guides based on support vector machine
In order to evaluate the serviceable condition of rigid hoist guides and recognize their status patterns, vibration and angle signals were collected from an test-rig which can simulate different sorts of defects. Characteristic parameters by which status patterns can be judged were selected and designed. Multi-classifier based on support vector machine was applied during recognition. The collected samples were divided into two parts which were used as training data and testing data, respectively. The numerical result verified the validity of support vector machine multi-classifier on pattern recognition of rigid hoist guides.
Journal Article