360 Works

Data from: Understanding human queuing behaviour at exits: an empirical study

Antoine Tordeux, A. Ulrich Kemloh Wagoum & W. Liao
The choice of the exit to egress from a facility plays a fundamental role in pedestrian modelling and simulation. Yet, empirical evidence for backing up simulation is scarce. In this contribution, we present three new groups of experiments that we conducted in different geometries. We varied parameters such as the width of the doors, the initial location and number of pedestrians which in turn affected their perception of the environment. We extracted and analysed relevant...

Data from: Impact of uniaxial tensile fatigue on the evolution of microscopic and mesoscopic structure of carbon black filled natural rubber

Chong Sun, Zhongjin Du, Selvaraj Nagarajan, Hongying Zhao, Shipeng Wen, Suhe Zhao, Ping Zhang & Liqun Zhang
This investigation addresses the evolution of the microscopic and mesoscopic structures distribution, and micro-defects of carbon black (CB) filled natural rubber (NR) under uniaxial tensile condition during the fatigue process. NR was filled with three different grades CB respectively, in order to understand the impact of the structural degree and specific surface areas of CB and fatigue degree on the Payne effect. It was found that Payne effect was initially suppressed and then enhanced with...

Additional file 1 of 5-Methoxyflavone-induced AMPKα activation inhibits NF-κB and P38 MAPK signaling to attenuate influenza A virus-mediated inflammation and lung injury in vitro and in vivo

Sushan Yang, Linxin Wang, Xiping Pan, Yueyun Liang, Yuehan Zhang, Jing Li & Beixian Zhou
Additional file 1. Original images for western blot.

sj-docx-1-tct-10.1177_15330338221124658 - Supplemental material for In Vitro and in Vivo Study of the Effect of Osteogenic Pulsed Electromagnetic Fields on Breast and Lung Cancer Cells

Mike Y. Chen, Jing Li, Nianli Zhang, Erik I. Waldorff, James T. Ryaby, Philip Fedor, Yongsheng Jia & Yujun Wang
Supplemental material, sj-docx-1-tct-10.1177_15330338221124658 for In Vitro and in Vivo Study of the Effect of Osteogenic Pulsed Electromagnetic Fields on Breast and Lung Cancer Cells by Mike Y. Chen, Jing Li, Nianli Zhang and Erik I. Waldorff, James T. Ryaby, Philip Fedor, Yongsheng Jia, Yujun Wang in Technology in Cancer Research & Treatment

sj-xlsx-2-tct-10.1177_15330338221124658 - Supplemental material for In Vitro and in Vivo Study of the Effect of Osteogenic Pulsed Electromagnetic Fields on Breast and Lung Cancer Cells

Mike Y. Chen, Jing Li, Nianli Zhang, Erik I. Waldorff, James T. Ryaby, Philip Fedor, Yongsheng Jia & Yujun Wang
Supplemental material, sj-xlsx-2-tct-10.1177_15330338221124658 for In Vitro and in Vivo Study of the Effect of Osteogenic Pulsed Electromagnetic Fields on Breast and Lung Cancer Cells by Mike Y. Chen, Jing Li, Nianli Zhang and Erik I. Waldorff, James T. Ryaby, Philip Fedor, Yongsheng Jia, Yujun Wang in Technology in Cancer Research & Treatment

sj-xlsx-3-tct-10.1177_15330338221124658 - Supplemental material for In Vitro and in Vivo Study of the Effect of Osteogenic Pulsed Electromagnetic Fields on Breast and Lung Cancer Cells

Mike Y. Chen, Jing Li, Nianli Zhang, Erik I. Waldorff, James T. Ryaby, Philip Fedor, Yongsheng Jia & Yujun Wang
Supplemental material, sj-xlsx-3-tct-10.1177_15330338221124658 for In Vitro and in Vivo Study of the Effect of Osteogenic Pulsed Electromagnetic Fields on Breast and Lung Cancer Cells by Mike Y. Chen, Jing Li, Nianli Zhang and Erik I. Waldorff, James T. Ryaby, Philip Fedor, Yongsheng Jia, Yujun Wang in Technology in Cancer Research & Treatment

Patient perception of doctor communication skills and patient trust in rural primary health care: the mediating role of health service quality

Linni Gu, Bo Tian, Yujia Xin, Shengfa Zhang, Jing Li & Zhijun Sun
Abstract Background This study aimed to explore the relationship between communication skills, health service quality, and patient trust in primary health services. Method This study was conducted in village clinics in rural China. A simple random sampling method was used to select volunteer village clinics and patients. In total, 574 participants from 25 village clinics were selected with the help of local health officers and village doctors. The response rate was 90%. Statistical analyses (hierarchical...

Additional file 1 of A CT-based nomogram for differentiating invasive fungal disease of the lung from bacterial pneumonia

Meilin Gong, Jingmei Xu, Kang Li, Ke Li, Yuwei Xia, Yang Jing, Jiafei Chen, Jing Li, Jing Yang, Mingshan Du, Wenjing Hou, Yuan Ou, Lian Li & Wei Chen
Additional file 1. On the orininal data of the study.

USP38 inhibits colorectal cancer cell proliferation and migration via downregulating HMX3 ubiquitylation

Jun Wang, Yongxing Gu, Xueqin Yan, Jie Zhang & Yong Ding
Accumulating evidence has shown that H6 Family Homeobox 3 (HMX3) plays a crucial role in nervous system regulation. However, the regulatory mechanism of HMX3 in colorectal cancer (CRC) has seldom been studied. Herein, HMX3 was significantly downregulated in CRC, as demonstrated by qRT-PCR and WB analysis on clinical samples and a panel of cell lines. Besides, it was found that the expression of HMX3 was negatively correlated with survival of CRC patients. The functional analyses...

Additional file 1 of Neomorphic DNA-binding enables tumor-specific therapeutic gene expression in fusion-addicted childhood sarcoma

Tilman L. B. Hölting, Florencia Cidre-Aranaz, Dana Matzek, Bastian Popper, Severin J. Jacobi, Cornelius M. Funk, Florian H. Geyer, Jing Li, Ignazio Piseddu, Bruno L. Cadilha, Stephan Ledderose, Jennifer Zwilling, Shunya Ohmura, David Anz, Annette Künkele, Frederick Klauschen, Thomas G. P. Grünewald & Maximilian M. L. Knott
Additional file 1: Additional Figures 1–4 and Additional Figure Legends.

Additional file 15 of Genome-wide identification and characterization of lncRNAs in sunflower endosperm

Shuai Yu, Zhichao Zhang, Jing Li, Yanbin Zhu, Yanzhe Yin, Xiaoyu Zhang, Yuxin Dai, Ao Zhang, Cong Li, Yanshu Zhu, Jinjuan Fan, Yanye Ruan & Xiaomei Dong
Additional file 15. GTF File of candidate lncRNAs identified in sunflower endosperm.

Genome-wide identification and characterization of lncRNAs in sunflower endosperm

Shuai Yu, Zhichao Zhang, Jing Li, Yanbin Zhu, Yanzhe Yin, Xiaoyu Zhang, Yuxin Dai, Ao Zhang, Cong Li, Yanshu Zhu, Jinjuan Fan, Yanye Ruan & Xiaomei Dong
Abstract Background Long non-coding RNAs (lncRNAs), as important regulators, play important roles in plant growth and development. The expression and epigenetic regulation of lncRNAs remain uncharacterized generally in plant seeds, especially in the transient endosperm of the dicotyledons. Results In this study, we identified 11,840 candidate lncRNAs in 12 day-after-pollination sunflower endosperm by analyzing RNA-seq data. These lncRNAs were evenly distributed in all chromosomes and had specific features that were distinct from mRNAs including tissue-specificity...

Additional file 5 of Genome-wide identification and characterization of lncRNAs in sunflower endosperm

Shuai Yu, Zhichao Zhang, Jing Li, Yanbin Zhu, Yanzhe Yin, Xiaoyu Zhang, Yuxin Dai, Ao Zhang, Cong Li, Yanshu Zhu, Jinjuan Fan, Yanye Ruan & Xiaomei Dong
Additional file 5: Fig. S2. Expression levels of lncRNAs and PCgenes in sunflower endosperm.

Additional file 3 of Genome-wide identification and characterization of lncRNAs in sunflower endosperm

Shuai Yu, Zhichao Zhang, Jing Li, Yanbin Zhu, Yanzhe Yin, Xiaoyu Zhang, Yuxin Dai, Ao Zhang, Cong Li, Yanshu Zhu, Jinjuan Fan, Yanye Ruan & Xiaomei Dong
Additional file 3: Table S3. GO Gene Ontology analysis of co-expressed protein-coding genes with all candidate lncRNAs.

Additional file 1 of Interactions of CDKAL1 rs7747752 polymorphism and serum levels of L-carnitine and choline are related to increased risk of gestational diabetes mellitus

Hui Wang, Jing Li, Jinnan Liu, Junhong Leng, Weiqin Li, Zhijie Yu, Claudia H. T. Tam, Gang Hu, Ronald C. W. Ma, Zhongze Fang, Ying Wang & Xilin Yang
Additional file 1: Figure S1. Associations between L-carnitine and the risk of gestational diabetes mellitus (GDM) in Chinese women.

Additional file 1 of Botulinum toxin treatment for bielschowsky acquired commitant esotropia in adults

Likun Ai, Xiaoli Chen, Ruilin Guo, Jing Li, Jinghui Wang, Yi Feng, Yiqin Guo & Jianan Wang
Supplementary Material 1

Additional file 2 of ETV2 promotes osteogenic differentiation of human dental pulp stem cells through the ERK/MAPK and PI3K-Akt signaling pathways

Jing Li, Haoran Du, Xin Ji, Yihan Chen, Yishuai Li, Boon Chin Heng & Jianguang Xu
Additional file 2: Figure S2. Results of western blot analysis showed that ETV2 overexpression induced the the activation of p-ERK and p-AKT at days 3, 7 and 14 of osteogenic differentiation. *P < 0.05, compared with the 0 day group.

Additional file 1 of MetaRNN: differentiating rare pathogenic and rare benign missense SNVs and InDels using deep learning

Chang Li, Degui Zhi, Kai Wang & Xiaoming Liu
Additional file 1: Includes 11 tables for training and testing data sets used in the study. The names of the tables are: Table S1. Training variants for MetaRNN; Table S2. Training variants for MetaRNN-indel; Table S3. Summary statistics for test datasets used to evaluate MetaRNN; Table S4. RNTS validation data set for MetaRNN model evaluation; Table S5. RCTS validation data set for MetaRNN model evaluation; Table S6. AF-RNTS validation data set for MetaRNN model evaluation;...

Additional file 1 of MetaRNN: differentiating rare pathogenic and rare benign missense SNVs and InDels using deep learning

Chang Li, Degui Zhi, Kai Wang & Xiaoming Liu
Additional file 1: Includes 11 tables for training and testing data sets used in the study. The names of the tables are: Table S1. Training variants for MetaRNN; Table S2. Training variants for MetaRNN-indel; Table S3. Summary statistics for test datasets used to evaluate MetaRNN; Table S4. RNTS validation data set for MetaRNN model evaluation; Table S5. RCTS validation data set for MetaRNN model evaluation; Table S6. AF-RNTS validation data set for MetaRNN model evaluation;...

Additional file 2 of MetaRNN: differentiating rare pathogenic and rare benign missense SNVs and InDels using deep learning

Chang Li, Degui Zhi, Kai Wang & Xiaoming Liu
Additional file 2: Includes 9 figures of additional results. The names of the figures are: Figure S1. Performance (AUC) of different methods benchmarked using the rare nsSNV test set (RNTS, test set 1); Figure S2. Performance (AUC) of different methods benchmarked using the de-novo rare ClinVar test set (DN-RCTS, test set 3); Figure S3. Performance (precision-recall curve) of different methods benchmarked using the de-novo rare ClinVar test set (DN-RCTS, test set 3); Figure S4. Performance...

NeRD: a multichannel neural network to predict cellular response of drugs by integrating multidimensional data

Xiaoxiao Cheng, Chong Dai, Yuqi Wen, Xiaoqi Wang, Xiaochen Bo, Song He & Shaoliang Peng
Abstract Background Considering the heterogeneity of tumors, it is a key issue in precision medicine to predict the drug response of each individual. The accumulation of various types of drug informatics and multi-omics data facilitates the development of efficient models for drug response prediction. However, the selection of high-quality data sources and the design of suitable methods remain a challenge. Methods In this paper, we design NeRD, a multidimensional data integration model based on the...

Additional file 2 of Identification of pyroptosis-related genes and long non-coding RNAs signatures in osteosarcoma

Jian Zhang, Jianjian Deng, Rui Ding, Jinghong Yuan, Jiahao Liu, Xiaokun Zhao, Tianlong Wu, Jingyu Jia & Xigao Cheng
Additional file 2: Table S3. The 57 PRGs

Additional file 1 of Botulinum toxin treatment for bielschowsky acquired comitant esotropia in adults

Likun Ai, Xiaoli Chen, Ruilin Guo, Jing Li, Jinghui Wang, Yi Feng, Yiqin Guo & Jianan Wang
Supplementary Material 1

Additional file 3 of Replication stress generates distinctive landscapes of DNA copy number alterations and chromosome scale losses

Nadeem Shaikh, Alice Mazzagatti, Simone De Angelis, Sarah C. Johnson, Bjorn Bakker, Diana C. J. Spierings, René Wardenaar, Eleni Maniati, Jun Wang, Michael A. Boemo, Floris Foijer & Sarah E. McClelland
Additional file 3. Replication Timing factor derived from RPE1 single cells after treatment with DMSO or aphidicolin.

Additional file 4 of Replication stress generates distinctive landscapes of DNA copy number alterations and chromosome scale losses

Nadeem Shaikh, Alice Mazzagatti, Simone De Angelis, Sarah C. Johnson, Bjorn Bakker, Diana C. J. Spierings, René Wardenaar, Eleni Maniati, Jun Wang, Michael A. Boemo, Floris Foijer & Sarah E. McClelland
Additional file 4. RNAseq data for BJ and RPE1 cells treated with DMSO or aphidicolin.

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Affiliations

  • Beijing University of Chemical Technology
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  • Shanghai Jiao Tong University
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  • Chinese Academy of Medical Sciences & Peking Union Medical College
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  • Zhejiang University
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