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infections among diarrheal outpatients in Shanghai: a retrospective case study

Yanyan Jiang, Zhongying Yuan, Guoqing Zang, Dan Li, Ying Wang, Yi Zhang, Hua Liu, Jianping Cao, Yujuan Shen

Frontiers of Medicine 2018, Volume 12, Issue 1,   Pages 98-103 doi: 10.1007/s11684-018-0614-3

Abstract: Sequence and phylogenetic analyses of the partial 18S rRNA genes of C. cayetanensis 

Keywords： Cyclospora cayetanensis     outpatients with diarrhea     stool specimens     18S rRNA gene    

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Validation of

Youfen Xu, Zong Li, Ruyin Liu, Hongxia Liang, Zhisheng Yu, Hongxun Zhang

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 4, doi: 10.1007/s11783-020-1246-9

Abstract: Pig-Bac1SYBR, Pig-Bac2SYBR, Pig-1-BacTaqMan, and Pig-2-BacTaqMan, which are based on Bacteroidales 16SrRNA gene markers) and apply them in two rivers of North China.

Keywords： Microbial source tracking     Pig fecal pollution     16S rRNA gene markers     Pig-specific Bacteroidales    

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Distribution and removal of antibiotic resistance genes during anaerobic sludge digestion with alkaline, thermal hydrolysis and ultrasonic pretreatments

Mengli Wang, Ruying Li, Qing Zhao

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 3, doi: 10.1007/s11783-019-1127-2

Abstract: listitem>

The total ARGs concentration showed significant correlation with 16SrRNA gene.

Keywords： Tetracycline resistance genes     Sulfonamide resistance genes     16S rRNA gene     Sludge pretreatment     Anaerobic    

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Effects of cotton straw amendment on soil fertility and microbial communities

Wuren HUANG, Zhihui BAI, Daniel HOEFEL, Qing HU, Xin LV, Guoqiang ZHUANG, Shengjun XU, Hongyan QI, Hongxun ZHANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 3,   Pages 336-349 doi: 10.1007/s11783-011-0337-z

Abstract: microbial community metabolic activity, and markedly changed the structure of microbial community. 16SrRNA gene clone library construction and phylogenetic analysis of soil bacteria revealed - Proteobacteria

Keywords： cotton straw     soil amendments     microbial diversity     Biolog     phospholipid fatty acid     16S rRNA gene clone library    

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Diverse bacterial populations of PM in urban and suburb Shanghai, China

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-020-1329-7

Abstract:

• Urban aerosols harbour diverse bacterial communities in Shanghai.

Keywords： PM2.5     Bacteria     16S rRNA     SEM analysis     Shanghai City    

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et’s disease in a Chinese population

Shengping Hou, Aize Kijlstra, Peizeng Yang

Frontiers of Medicine 2012, Volume 6, Issue 4,   Pages 354-359 doi: 10.1007/s11684-012-0234-2

Abstract: et’s disease is defined as a multisystemic inflammatory disease.et’s disease. To explore the genetic factors for Beh?et’s disease, our group investigated the association of Beh?et’s disease-related immunoregulatory pathways in the Chinese Han population.A large number of gene polymorphisms were studied including STAT4, IL23R, CD40, CCR1

Keywords： et’s disease     SNPs     immune gene     genetic study    

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Determination of growth kinetics of microorganisms linked with 1,4-dioxane degradation in a consortium based on two improved methods

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 5, doi: 10.1007/s11783-022-1567-y

Abstract:

● Evaluated three methods for determining the consortia’s growth kinetics

Keywords： Biodegradation     1     4-Dioxane     Kinetics     Microbial consortium     16S rRNA    

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Effect of pH on biologic degradation of

Hongjing LI, Mengli HAO, Jingxian LIU, Chen CHEN, Zhengqiu FAN, Xiangrong WANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 224-230 doi: 10.1007/s11783-011-0314-6

Abstract: strain HM-01, which was identified as sp. by Polymerase Chain Reaction (PCR) amplification of the 16SrRNA gene, Basic Local Alignment Search Tool (BLAST) analysis, and comparison with sequences in the GenBank

Keywords： pH     biological degradation     alga-lysing bacteria     sequencing batch biofilm reactor (SBBR)     16S rRNA        

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Quantifying multiple social relationships based on a multiplex stochastic block model Science Letter

Mincheng Wu, Zhen Li, Cunqi Shao, Shibo He,s18he@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 11,   Pages 1458-1462 doi: 10.1631/FITEE.2000617

Abstract: Online s have attracted great attention recently, because they make it easy to build social connections

Keywords： 社交网络；多重网络；随机块模型    

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18"> Interfacial Forces and Surface Interaction Mechanisms in Petroleum Production Processes" [Engineering 18 Erratum

Diling Yang,Xuwen Peng,Qiongyao Peng,Tao Wang,Chenyu Qiao,Ziqian Zhao,Lu Gong,Yueliang Liu,Hao Zhang,Hongbo Zeng

Engineering 2023, Volume 22, Issue 3,   Pages 233-233 doi: 10.1016/j.eng.2023.02.001

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A local density optimization method based on a graph convolutional network

Hao Wang, Li-yan Dong, Tie-hu Fan, Ming-hui Sun,wanghao18@mails.jlu.edu.cn,dongly@jlu.edu.cn,fth@jlu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 12,   Pages 1671-1814 doi: 10.1631/FITEE.1900663

Abstract: Success has been obtained using a semi-supervised graph analysis method based on a (GCN). However, GCN ignores some local information at each node in the graph, so that data preprocessing is incomplete and the model generated is not accurate enough. Thus, in the case of numerous unsupervised models based on technology, local node information is important. In this paper, we apply a local analysis method based on the similar neighbor hypothesis to a GCN, and propose a definition; we call this method LDGCN. The LDGCN algorithm processes the input data of GCN in two methods, i.e., the unbalanced and balanced methods. Thus, the optimized input data contains detailed local node information, and then the model generated is accurate after training. We also introduce the implementation of the LDGCN algorithm through the principle of GCN, and use three mainstream datasets to verify the effectiveness of the LDGCN algorithm (i.e., the Cora, Citeseer, and Pubmed datasets). Finally, we compare the performances of several mainstream graph analysis algorithms with that of the LDGCN algorithm. Experimental results show that the LDGCN algorithm has better performance in node classification tasks.
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Philadelphia chromosome-positive acute myeloid leukemia with masses and osteolytic lesions: finding of 18F-FDG

Zhan Su, Fengyu Wu, Weiyu Hu, Xiaodan Liu, Shaoling Wu, Xianqi Feng, Zhongguang Cui, Jie Yang, Zhenguang Wang, Hongzai Guan, Hongguo Zhao, Wei Wang, Chunting Zhao, Jun Peng

Frontiers of Medicine 2017, Volume 11, Issue 3,   Pages 440-444 doi: 10.1007/s11684-017-0523-x

Abstract: patient who had an abrupt onset with sharp chest pain, fever, fatigue, emaciation, and splenomegaly. 18F-fluoro-deoxy-glucosepositron emission tomography/computed tomography (18F-FDG PET/CT) result showed diffuse and uneven hypermetabolicin the bone marrow with peripheral bone marrow expansion, multiple soft tissue neoplasms with high 18F-FDGFor the existence of Philadelphia chromosome and BCR-ABL1 fusion gene together with complex chromosome

Keywords： Philadelphia chromosome     acute myeloid leukemia     mass     osteolysis     positron emission tomography    

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Study on Family Collection, Gene Mapping, Gene Identification and Gene Function of Human Genetic Diseases

Xia Jiahui

Strategic Study of CAE 2000, Volume 2, Issue 11,   Pages 1-11

Abstract:

In this paper, the study on family collection, gene mapping, gene identification and gene functiont (1; 3) (q44; p11) associated with nasopharyngeal cancer was found in 1975 at first, and human TDF geneIn 1998, GJB3, a human genetic neurological deafness gene, was identified using a novel strategy of “Gene Family-Candidate Disease Gene Cloning”，and the paper was published in Nature Geneticswas also cloned from gene function study.

Keywords： genetic disease     gene mapping and cloning     gene familiy-candidate disease gene cloning     genome wide scan     gene function study    

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Molecular engineering of dendrimer nanovectors for siRNA delivery and gene silencing

Yu Cao, Xiaoxuan Liu, Ling Peng

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 4,   Pages 663-675 doi: 10.1007/s11705-017-1623-5

Abstract: Small interfering RNA (siRNA) therapeutics hold great promise to treat a variety of diseases, as long as they can be delivered safely and effectively into cells. Dendrimers are appealing vectors for siRNA delivery by virtue of their well-defined molecular architecture and multivalent cooperativity. However, the clinical translation of RNA therapeutics mediated by dendrimer delivery is hampered by the lack of dendrimers that are of high quality to meet good manufacturing practice standard. In this context, we have developed small amphiphilic dendrimers that self-assemble into supramolecular structures, which mimic high-generation dendrimers synthesized with covalent construction, yet are easy to produce in large amount and superior quality. Indeed, the concept of supramolecular dendrimers has proved to be very promising, and has opened up a new avenue for dendrimer-mediated siRNA delivery. A series of self-assembling supramolecular dendrimers have consequently been established, some of them out-performing the currently available nonviral vectors in delivering siRNA to various cell types and , including human primary cells and stem cells. This short review presents a brief introduction to RNAi therapeutics, the obstacles to their delivery and the advantages of dendrimer delivery vectors as well as our bio-inspired structurally flexible dendrimers for siRNA delivery. We then highlight our efforts in creating self-assembling amphiphilic dendrimers to construct supramolecular dendrimer nanosystems for effective siRNA delivery as well as the related structural alterations to enhance delivery efficiency. The advent of self-assembling supramolecular dendrimer nanovectors holds great promise and heralds a new era of dendrimer-mediated delivery of RNA therapeutics in biomedical applications.

Keywords： gene therapy     RNAi therapeutics     dendrimer     nanovectors     gene silencing    

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A novel convolutional neural network method for crowd counting Research Articles

Jie-hao Huang, Xiao-guang Di, Jun-de Wu, Ai-yue Chen,18s004055@hit.edu.cn,dixiaoguang@hit.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8,   Pages 1119-1266 doi: 10.1631/FITEE.1900282

Abstract: Crowd , in general, is a challenging task due to the large variation of head sizes in the crowds. Existing methods always use a multi-column convolutional neural network (MCNN) to adapt to this variation, which results in an average effect in areas with different densities and brings a lot of noise to the density map. To address this problem, we propose a new method called the segmentation-aware prior network (SAPNet), which generates a high-quality density map without noise based on a coarse head-segmentation map. SAPNet is composed of two networks, i.e., a foreground-segmentation convolutional neural network (FS-CNN) as the front end and a crowd-regression convolutional neural network (CR-CNN) as the back end. With only the single dot annotation, we generate the ground truth of segmentation masks in heads. Then, based on the ground truth, FS-CNN outputs a coarse head-segmentation map, which helps eliminate the noise in regions without people in the density map. By inputting the head-segmentation map generated by the front end, CR-CNN performs accurate estimation and generates a high-quality density map. We demonstrate SAPNet on four datasets (i.e., ShanghaiTech, UCF-CC-50, WorldExpo’10, and UCSD), and show the state-of-the-art performances on ShanghaiTech part and UCF-CC-50 datasets.

Keywords： Crowd counting     Density estimation     Segmentation prior map     Uniform function    

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Title Author Date Type Operation

infections among diarrheal outpatients in Shanghai: a retrospective case study

Yanyan Jiang, Zhongying Yuan, Guoqing Zang, Dan Li, Ying Wang, Yi Zhang, Hua Liu, Jianping Cao, Yujuan Shen

Journal Article

Validation of

Youfen Xu, Zong Li, Ruyin Liu, Hongxia Liang, Zhisheng Yu, Hongxun Zhang

Journal Article

Distribution and removal of antibiotic resistance genes during anaerobic sludge digestion with alkaline, thermal hydrolysis and ultrasonic pretreatments

Mengli Wang, Ruying Li, Qing Zhao

Journal Article

Effects of cotton straw amendment on soil fertility and microbial communities

Wuren HUANG, Zhihui BAI, Daniel HOEFEL, Qing HU, Xin LV, Guoqiang ZHUANG, Shengjun XU, Hongyan QI, Hongxun ZHANG

Journal Article

Diverse bacterial populations of PM in urban and suburb Shanghai, China

Journal Article

et’s disease in a Chinese population

Shengping Hou, Aize Kijlstra, Peizeng Yang

Journal Article

Determination of growth kinetics of microorganisms linked with 1,4-dioxane degradation in a consortium based on two improved methods

Journal Article

Effect of pH on biologic degradation of

Hongjing LI, Mengli HAO, Jingxian LIU, Chen CHEN, Zhengqiu FAN, Xiangrong WANG

Journal Article

Quantifying multiple social relationships based on a multiplex stochastic block model

Mincheng Wu, Zhen Li, Cunqi Shao, Shibo He,s18he@zju.edu.cn

Journal Article

Interfacial Forces and Surface Interaction Mechanisms in Petroleum Production Processes" [Engineering 18

Diling Yang,Xuwen Peng,Qiongyao Peng,Tao Wang,Chenyu Qiao,Ziqian Zhao,Lu Gong,Yueliang Liu,Hao Zhang,Hongbo Zeng

Journal Article

A local density optimization method based on a graph convolutional network

Hao Wang, Li-yan Dong, Tie-hu Fan, Ming-hui Sun,wanghao18@mails.jlu.edu.cn,dongly@jlu.edu.cn,fth@jlu.edu.cn

Journal Article

Philadelphia chromosome-positive acute myeloid leukemia with masses and osteolytic lesions: finding of 18F-FDG

Zhan Su, Fengyu Wu, Weiyu Hu, Xiaodan Liu, Shaoling Wu, Xianqi Feng, Zhongguang Cui, Jie Yang, Zhenguang Wang, Hongzai Guan, Hongguo Zhao, Wei Wang, Chunting Zhao, Jun Peng

Journal Article

Study on Family Collection, Gene Mapping, Gene Identification and Gene Function of Human Genetic Diseases

Xia Jiahui

Journal Article

Molecular engineering of dendrimer nanovectors for siRNA delivery and gene silencing

Yu Cao, Xiaoxuan Liu, Ling Peng

Journal Article

A novel convolutional neural network method for crowd counting

Jie-hao Huang, Xiao-guang Di, Jun-de Wu, Ai-yue Chen,18s004055@hit.edu.cn,dixiaoguang@hit.edu.cn

Journal Article