Draft Genome Assembly and Annotation for Cutaneotrichosporon dermatis NICC30027, an Oleaginous Yeast Capable of Simultaneous Glucose and Xylose Assimilation

Wang Laiyou,Guo Shuxian,Zeng Bo,Wang Shanshan,Chen Yan,Cheng Shuang,Liu Bingbing,Wang Chunyan,Wang Yu,Meng Qingshan 한국균학회 2022 Mycobiology Vol.50 No.1

The identification of oleaginous yeast species capable of simultaneously utilizing xylose and glucose as substrates to generate value-added biological products is an area of key eco- nomic interest. We have previously demonstrated that the Cutaneotrichosporon dermatis NICC30027 yeast strain is capable of simultaneously assimilating both xylose and glucose, resulting in considerable lipid accumulation. However, as no high-quality genome sequenc- ing data or associated annotations for this strain are available at present, it remains chal- lenging to study the metabolic mechanisms underlying this phenotype. Herein, we report a 39,305,439 bp draft genome assembly for C. dermatis NICC30027 comprised of 37 scaffolds, with 60.15% GC content. Within this genome, we identified 524 tRNAs, 142 sRNAs, 53 miRNAs, 28 snRNAs, and eight rRNA clusters. Moreover, repeat sequences totaling 1,032,129 bp in length were identified (2.63% of the genome), as were 14,238 unigenes that were 1,789.35 bp in length on average (64.82% of the genome). The NCBI non-redundant protein sequences (NR) database was employed to successfully annotate 11,795 of these unigenes, while 3,621 and 11,902 were annotated with the Swiss-Prot and TrEMBL databases, respectively. Unigenes were additionally subjected to pathway enrichment analyses using the Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Cluster of Orthologous Groups of proteins (COG), Clusters of orthologous groups for eukaryotic com- plete genomes (KOG), and Non-supervised Orthologous Groups (eggNOG) databases. Together, these results provide a foundation for future studies aimed at clarifying the mech- anistic basis for the ability of C. dermatis NICC30027 to simultaneously utilize glucose and xylose to synthesize lipids.

Integrated Content-aware Image Retargeting System

Shanshan Wang,Amr Abdel-Dayem 보안공학연구지원센터 2012 International Journal of Multimedia and Ubiquitous Vol.7 No.4

Research in Distributed Evolution based on Real-time Collaboration Technology

Shanshan Wang,Liping Gao,Sizhen Zhu,Chunxue Wu 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.3

Evolution design takes the advantage of the evolution technology into the art design, and designers can achieve satisfactory products by performing evolutionary operations. It’s a powerful method in the procedure of the art design. However, the traditional evolution running on single site leads to the low efficiency and the less diversity. In addition, the products just represent the aesthetics of the single site. Based on these problems, this paper aims at using distributed evolution technology to complete the collaborative evolution, broadcasting evolutionary operations among distributed sites and executing evolutionary operations on each site. Then, the acquired products could represent the aesthetics of most sites due to its rich diversity. The paper mainly solves the problems of the operation conflicts which come from different sites, builds a new hybrid document model designs several algorithms based on Operation Transformation (OT) to solve the conflicts, and describes the procedure of the consistency maintenance. The proposed solution has been theoretically verified for its correctness in hybrid model.

Trichloroisocyanuric Acid as a Novel and Versatile Reagent for the Rapid α-Thiocyanation of Ketones

Shanshan Liu,Tianbao Wang,Yaqin Wang,Zhihao Guo,Liqiang Wu 대한화학회 2011 Bulletin of the Korean Chemical Society Vol.32 No.10

Construction Principles and Evaluation Standard of China High-Tech Prak Ecosystem

Shanshan Wang,Hongqi Wang 인하대학교 정석물류통상연구원 2009 인하대학교 정석물류통상연구원 학술대회 Vol.2009 No.10

High-tech parks in China have promoted regional economic development and technological innovation to a great extend and meanwhile brought the problems of high -tech pollutions, With the acceleration of Chinese new-type industrialization process and the promotion of national eco-industry park construction by government, constructing the park ecosystem has become the inevitable development trend of all high-tech parks . On the basis of analyzing high ?tech parks development and ecological construction situation this paper puts forward the high-tech park ecosystem component factors and construction principles. By proposing the evaluation emphases of high-tech park ecosystem. it designs the ecosystem evaluation index and standard from five aspects. The research of this paper aims at providing development thought and evaluation basis for ecological of high-tech parks and it is helpful for high-tech parks to improve their ecological management level.

High-Voltage Transmission Line Foreign Object and Power Component Defect Detection Based on Improved YOLOv5

Wang Shanshan,Tan Weiwei,Yang Tengfei,Zeng Liang,Hou Wenguang,Zhou Quan 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.1

With the outstanding performance of deep learning in the feld of computer vision, the automatic visual detection of foreign bodies in transmission lines and electrical equipment defects by inspection robots and Unmanned Aerial Vehicles based on neural networks has become an attractive topic in smart grid. However, in practical application scenarios, small-sized target defects pose a great challenge to the detection accuracy of existing mainstream deep learning detection networks with limited perceptual felds. To solve the above problems, the paper proposes a detection model of YOLOv5 transmission line inspection image. Firstly, the key target images under diferent backgrounds and attitudes are collected and preprocessed. Specifcally, in order to improve the perception ability of networks for small-sized targets, the K-means clustering algorithm is used to optimize the size of the anchor box, which efectively improves the ftting ability of the key target features. Then, recursive gated convolution is used as the backbone network to improve the ability to extract key target features. Finally, considering the concealment of small-scale features, the space-to-depth convolution module is added to the neck network to realize down-sampling and retain all the information in the channel dimension. In addition, a feature prediction layer is added to optimize the scale of network detection, and a Simple Parameter-Free Attention Module is added to further optimize the characterization of network features. The experimental results show that the accuracy and recall of the proposed network are 96.8% and 93.3%, respectively. The average detection accuracy reaches 97.1%, which is 3.8% higher than that of YOLOv5 network, 5.2% higher than YOLOv6 and 1.0% higher than that of YOLOv7 network. The proposed method signifcantly improves the detection performance of critical targets and defects of high-voltage transmission lines.

Insulator Defects Detection for Aerial Photography of the Power Grid Using You Only Look Once Algorithm

Wang Shanshan,Zou Xinyi,Zhu Wei,Zeng Liang 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.4

The safe operation of the power grid system depends partly on regular inspections of transmission lines, in which the insulator is one of the most important inspections objects. The manual inspection of transmission lines is a chaotic process that is both time and cost-consuming since it involves an accurate manual inspection by an expert. For insulator defect detection, an improved YOLOv4 algorithm is proposed. First, a new data augmentation method is proposed to solve the problem of insufficient sample size. Then, the size of the anchor boxes is redesigned base on the K-means algorithm to further improve the detection precision. Finally, an insulator defects detection network is constructed based on YOLOv4. Experimental results show that the detection precision of the improved network is 37.2% higher after data enhancement and anchor boxes redesign. In addition, the detection method proposed in this paper is superior to other popularity detection algorithms, including the single shot detector, region-convolutional neural networks (Faster-RCNN) and released version of you only look once (YOLO). The value of mean average precision is 99.08% and frame per second is 56. The robustness test results demonstrate that our proposed algorithm performs well under different light intensities and complex environmental backgrounds, and can accurately detect all targets, which is significantly better than other comparative algorithms. In terms of detection accuracy, test speed and robustness, our proposed algorithm meets the requirements of industrial field applications of insulator defect detection.

Characterization of Brain Microstructural Abnormalities in High Myopia Patients: A Preliminary Diffusion Kurtosis Imaging Study

Wang Huihui,Wen Hongwei,Li Jing,Chen Qian,Li Shanshan,Wang Yanling,Wang Zhenchang 대한영상의학회 2021 Korean Journal of Radiology Vol.22 No.7

Objective: To evaluate microstructural damage in high myopia (HM) patients using 3T diffusion kurtosis imaging (DKI). Materials and Methods: This prospective study included 30 HM patients and 33 age- and sex-matched healthy controls (HCs) with DKI. Kurtosis parameters including kurtosis fractional anisotropy (FA), mean kurtosis (MK), axial kurtosis (AK), and radial kurtosis (RK) as well as diffusion metrics including FA, mean diffusivity, axial diffusivity (AD), and radial diffusivity derived from DKI were obtained. Group differences in these metrics were compared using tract-based spatial statistics. Partial correlation analysis was used to evaluate correlations between microstructural changes and disease duration. Results: Compared to HCs, HM patients showed significantly reduced AK, RK, MK, and FA and significantly increased AD, predominately in the bilateral corticospinal tract, right inferior longitudinal fasciculus, superior longitudinal fasciculus, inferior fronto-occipital fasciculus, and left thalamus (all p < 0.05, threshold-free cluster enhancement corrected). In addition, DKI-derived kurtosis parameters (AK, RK, and MK) had negative correlations (r = -0.448 to -0.376, all p < 0.05) and diffusion parameter (AD) had positive correlations (r = 0.372 to 0.409, all p < 0.05) with disease duration. Conclusion: HM patients showed microstructural alterations in the brain regions responsible for motor conduction and visionrelated functions. DKI is useful for detecting white matter abnormalities in HM patients, which might be helpful for exploring and monitoring the pathogenesis of the disease.

A brain somatic RHEB doublet mutation causes focal cortical dysplasia type II

Shanshan Zhao,Zhenghui Li,Muxian Zhang,Lingliang Zhang,Honghua Zheng,Jinhuan Ning,Yanyan Wang,Feng-Peng Wang,Xiaobin Zhang,Hexia Gan,Yuanqing Wang,Xian Zhang,Hong Luo,Guojun Bu,Huaxi Xu,Yi Yao,Yun-wu 생화학분자생물학회 2019 Experimental and molecular medicine Vol.51 No.-

Focal cortical dysplasia type II (FCDII) is a cerebral cortex malformation characterized by local cortical structure disorganization, neuronal dysmorphology, and refractory epilepsy. Brain somatic mutations in several genes involved in the PI3K/AKT/mTOR pathway are associated with FCDII, but they are only found in a proportion of patients with FCDII. The genetic causes underlying the development FCDII in other patients remain unclear. Here, we carried out whole exome sequencing and targeted sequencing in paired brain–blood DNA from patients with FCDII and identified a brain somatic doublet mutation c.(A104T, C105A) in the Ras homolog, mTORC1 binding (RHEB) gene, which led to the RHEB p.Y35L mutation in one patient with FCDII. This RHEB mutation carrier had a dramatic increase of ribosomal protein S6 phosphorylation, indicating mTOR activation in the region of the brain lesion. The RHEB p.Y35L mutant protein had increased GTPλS-binding activity compared with wild-type RHEB. Overexpression of the RHEB p. Y35L variant in cultured cells also resulted in elevated S6 phosphorylation compared to wild-type RHEB. Importantly, in utero electroporation of the RHEB p.Y35L variant in mice induced S6 phosphorylation, cytomegalic neurons, dysregulated neuron migration, abnormal electroencephalogram, and seizures, all of which are found in patients with FCDII. Rapamycin treatment rescued abnormal electroencephalograms and alleviated seizures in these mice. These results demonstrate that brain somatic mutations in RHEB are also responsible for the pathogenesis of FCDII, indicating that aberrant activation of mTOR signaling is a primary driver and potential drug target for FCDII.

Research and Improvement of Calculation Method Based on Interleaved Coupled Inductance

Shanshan Wang(왕산산),Inwon Lee(이인원),Younghoon Cho(조영훈) 전력전자학회 2022 전력전자학술대회 논문집 Vol.2013 No.11