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Systematics of the genus Zinaida Evans, 1937 (Hesperiidae: Hesperiinae: Baorini)

: Xiaoling Fan. Formal analysis: Jing Tang, Zhenfu Huang, Yuke Han. Funding acquisition: Xiaoling Fan. Investigation: Jing Tang, Zhenfu Huang, Hideyuki Chiba, Yuke Han, Min Wang. Methodology: Jing Tang ... , Zhenfu Huang. Supervision: Xiaoling Fan. Writing ± original draft: Jing Tang. Writing ± review & editing: Hideyuki Chiba, Xiaoling Fan. 12 / 14 13 / 14 1. Fan XL , Chiba H , Huang ZF , Fei W , Wang M

Nanowire arrays restore vision in blind mice

Dr. Biao Kong, Dr. Hao Wu, Xu Huang and Xiaodi Liu of Fudan University for technical help. Author information Author notes Jing Tang, Nan Qin and Yan Chong contributed equally to this work ... Laboratory for Physical Sciences at Microscale, University of Science and Technology of China, Hefei 230026, ChinaTian Xue AuthorsSearch for Jing Tang in:Nature Research journals • PubMed • Google Scholar

Increased autophagy in EOC re-ascites cells can inhibit cell death and promote drug resistance

, Harbin, ChinaYu Liu, Jing Tang, Duanyang Liu, Lei Zhang, Yan He, Dai Tang & Xiaoming JinElectron Microscopic Center, Harbin Medical University, Harbin, ChinaJing Li & Lei GaoDepartment of Gynecology, Tumor ... Hospital of Harbin Medical University, Harbin, ChinaDan Kong AuthorsSearch for Yu Liu in:Nature Research journals • PubMed • Google Scholar Search for Jing Tang in:Nature Research journals • PubMed

Spermidine-mediated poly(lactic-co-glycolic acid) nanoparticles containing fluorofenidone for the treatment of idiopathic pulmonary fibrosis

Spermidine-mediated poly(lactic-co-glycolic acid) nanoparticles containing fluorofenidone for the treatment of idiopathic pulmonary fibrosis Jing Tang,1 Jianming Li,2 Guo Li,2 Haitao Zhang,2 Ling ... for active targeting of PLA/PLGA nanoparticles . J Biomed Mater Res A . 2009 ; 91 ( 1 ): 263 - 276 . 39. Jing Tang J , Liu ZB , Zhang Y . Fluorofenidone-loaded PLGA microspheres for targeted treatment

Dynamic interactions of an integrated vehicle–electromagnetic energy harvester–tire system subject to uneven road excitations

An investigation is undertaken of an integrated mechanical-electromagnetic coupling system consisting of a rigid vehicle with heave, roll, and pitch motions, four electromagnetic energy harvesters and four tires subject to uneven road excitations in order to improve the passengers’ riding comfort and harvest the lost engine energy due to uneven roads. Following the derived...

Seed-effect modeling improves the consistency of genome-wide loss-of-function screens and identifies synthetic lethal vulnerabilities in cancer cells

Background Genome-wide loss-of-function profiling is widely used for systematic identification of genetic dependencies in cancer cells; however, the poor reproducibility of RNA interference (RNAi) screens has been a major concern due to frequent off-target effects. Currently, a detailed understanding of the key factors contributing to the sub-optimal consistency is still a...

Illumina sequencing-based community analysis of bacteria associated with different bryophytes collected from Tibet, China

Background Previous studies on the bacteria associated with the bryophytes showed that there were abundant bacteria inhabited in/on these hosts. However, the type of bacteria and whether these discriminate between different bryophytes based on a particular factor remains largely unknown. Results This study was designed to analyze the biodiversity and community of the bacteria...

The first identified cathelicidin from tree frogs possesses anti-inflammatory and partial LPS neutralization activities

As of February 2017, approximately 7639 amphibian species have been described in the AmphibiaWeb database. However, only 20 cathelicidin-like antimicrobial peptides have been identified to date from 10 amphibian species. Half of these peptides were identified from genome sequences and have not yet been functionally characterized. In this study, a novel cathelicidin-like peptide...

Memory Vulnerability Diagnosis for Binary Program

Vulnerability diagnosis is important for program security analysis. It is a further step to understand the vulnerability after it is detected, as well as a preparatory step for vulnerability repair or exploitation. This paper mainly analyses the inner theories of major memory vulnerabilities and the threats of them. And then suggests some methods to diagnose several types of...

A Novel Logic for Analyzing Electronic Payment Protocols

A novel formal method which can be used to analyze security properties such as accountability, fairness and timeliness in electronic payment protocols is proposed. The novel method extends Qing-Zhou approach based on logic reasoning by adding a simple time expression and analysis method. It increases the ability to describe the event time, and extends the time characteristics of...

Memory Vulnerability Diagnosis for Binary Program

Vulnerability diagnosis is important for program security analysis. It is a further step to understand the vulnerability after it is detected, as well as a preparatory step for vulnerability repair or exploitation. This paper mainly analyses the inner theories of major memory vulnerabilities and the threats of them. And then suggests some methods to diagnose several types of...

Malware Classification Based on the Behavior Analysis and Back Propagation Neural Network

With the development of the Internet, malwares have also been expanded on the network systems rapidly. In order to deal with the diversity and amount of the variants, a number of automated behavior analysis tools have emerged as the time requires. Yet these tools produce detailed behavior reports of the malwares, it still needs to specify its category and judge its criticality...

Memory Vulnerability Diagnosis for Binary Program

Vulnerability diagnosis is important for program security analysis. It is a further step to understand the vulnerability after it is detected, as well as a preparatory step for vulnerability repair or exploitation. This paper mainly analyses the inner theories of major memory vulnerabilities and the threats of them. And then suggests some methods to diagnose several types of...

Malware Classification Based on the Behavior Analysis and Back Propagation Neural Network

With the development of the Internet, malwares have also been expanded on the network systems rapidly. In order to deal with the diversity and amount of the variants, a number of automated behavior analysis tools have emerged as the time requires. Yet these tools produce detailed behavior reports of the malwares, it still needs to specify its category and judge its criticality...

Autocrine parathyroid hormone-like hormone promotes intrahepatic cholangiocarcinoma cell proliferation via increased ERK/JNK-ATF2-cyclinD1 signaling

Intrahepatic cholangiocarcinoma (ICC) is an aggressive tumor with a high fatality rate. It was recently found that parathyroid hormone-like hormone (PTHLH) was frequently overexpressed in ICC compared with non-tumor tissue. This study aimed to elucidate the underlying mechanisms of PTHLH in ICC development. The CCK-8 assay, colony formation assays, flow cytometry and a xenograft...

TIMMA-R: an R package for predicting synergistic multi-targeted drug combinations in cancer cell lines or patient-derived samples

Jing Tang 0 0 Institute for Molecular Medicine Finland (FIMM), University of Helsinki , Tukholmankatu 8, FI-00290, Helsinki , Finland Summary: Network pharmacology-based prediction of multi-targeted

Residues 41V and/or 210D in the NP protein enhance polymerase activities and potential replication of novel influenza (H7N9) viruses at low temperature

Xiaohui Zou 0 Jianfang Zhou Jing Tang Yuelong Shu 0 Equal contributors National Institute for Viral Disease Control and Prevention , China CDC , Key Laboratory for Medical Virology, National Health and

Nanoscale imaging of the photoresponse in PN junctions of InGaAs infrared detector

Road, Shanghai 200083, People’s Republic of ChinaHeng-Jing Tang, Xue Li & Hai-Mei Gong AuthorsSearch for Hui Xia in:Nature Research journals • PubMed • Google ScholarSearch for Tian-Xin Li in:Nature ... Research journals • PubMed • Google ScholarSearch for Heng-Jing Tang in:Nature Research journals • PubMed • Google ScholarSearch for Liang Zhu in:Nature Research journals • PubMed • Google ScholarSearch for

From drug response profiling to target addiction scoring in cancer cell models

Deconvoluting the molecular target signals behind observed drug response phenotypes is an important part of phenotype-based drug discovery and repurposing efforts. We demonstrate here how our network-based deconvolution approach, named target addiction score (TAS), provides insights into the functional importance of druggable protein targets in cell-based drug sensitivity testing...

Toward more realistic drug–target interaction predictions

developing targeted cancer treatments. Jing Tang is a senior researcher at FIMM, University of Helsinki, Finland. His research interests include development of network pharmacology models for predicting