Search results for: Xinglin Zhang

Items from 1 to 20 out of 24 results

article

Cross‐neutralization of RBD mutant strains of SARS‐CoV‐2 by convalescent patient derived antibodies

Yan Lou, Wenxiang Zhao, Haitao Wei, Min Chu, more

Biotechnology Journal > 16 > 11 > n/a - n/a

Background The emergence of COVID‐19 pandemic resulted in an urgent need for the development of therapeutic interventions. Of which, neutralizing antibodies play a crucial role in the prevention and resolution of viral infection. Methods We generated antibody libraries from 18 different COVID‐19 recovered patients and screened neutralizing antibodies to SARS‐CoV‐2 and its mutants. After 3 rounds...

article

A mechanism coordinating root elongation, endodermal differentiation, redox homeostasis and stress response

Jing Fu, Xinglin Zhang, Jiaming Liu, Xudong Gao, more

The Plant Journal > 107 > 4 > 1029 - 1039

Root growth relies on both cell division and cell elongation, which occur in the meristem and elongation zones, respectively. SCARECROW (SCR) and SHORT‐ROOT (SHR) are GRAS family genes essential for root growth and radial patterning in the Arabidopsis root. Previous studies showed that SCR and SHR promote root growth by suppressing cytokinin response in the meristem, but there is evidence that SCR...

article

Molecular regulatory mechanisms of Escherichia coli O157:H7 in response to ultrasonic stress revealed by proteomic analysis

Jiao Li, Xinglin Zhang, Muthupandian Ashokkumar, Donghong Liu, more

Ultrasonics Sonochemistry > 2020 > 61 > C

The antimicrobial effects of ultrasonic filed have been studied for years at the phenotypic level, but there is little research to reveal the molecular regulatory mechanisms underlying the phenotypes. In this study, isobaric tag for relative and absolute quantification (iTRAQ) proteome was applied to analyze the regulatory networks of Escherichia coli O157:H7 in response to ultrasonic stress in whole-genome...

article

Recent Progress in Ferroptosis Inducers for Cancer Therapy

Chen Liang, Xinglin Zhang, Mengsu Yang, Xiaochen Dong

Advanced Materials > 31 > 51 > n/a - n/a

Ferroptosis is a newly discovered form of regulated cell death that is the nexus between metabolism, redox biology, and human health. Emerging evidence shows the potential of triggering ferroptosis for cancer therapy, particularly for eradicating aggressive malignancies that are resistant to traditional therapies. Recently, there has been a great deal of effort to design and develop anticancer drugs...

article

Acenaphthylene-imide based small molecules/TiO₂ bilayer as electron-transporting layer for solution-processing efficient perovskite solar cells

Jiawei Shao, Xing Guo, Nannan Shi, Xinglin Zhang, more

Science China Materials > 2019 > 62 > 4 > 497-507

It is of great significance to design and synthesize highly efficient n-type organic small molecules as electron-transporting layer (ETL) materials to achieve high performance planar perovskite solar cells (PVKSCs) with low-temperature solution-processing. In this article, acenaphthylene-imide based small molecules AI1, AI2 and AI3 were developed with lower-lying LUMO energy levels and were further...

article

Three dimensional carbon substrate materials for electrolysis of water

Xinglin Zhang, Jinjun Shao, Wei Huang, Xiaochen Dong

Science China Materials > 2018 > 61 > 9 > 1143-1153

Water splitting is an important approach for energy conversion to obtain hydrogen and oxygen. Apart from solar water splitting, electrochemical method plays a key role in the booming field, and it is urgent to develop novel and efficient catalysts to accelerate water splitting reaction. Recently, newly emerging self-supported materials, especially three dimensional (3D) carbon substrate electrochemical...

article

MPiLoc: Self-Calibrating Multi-Floor Indoor Localization Exploiting Participatory Sensing

Chengwen Luo, Hande Hong, Mun Choon Chan, Jianqiang Li, more

IEEE Transactions on Mobile Computing > 2018 > 17 > 1 > 141 - 154

While location is one of the most important context information in mobile and pervasive computing, large-scale deployment of indoor localization system remains elusive. In this work, we propose MPiLoc, a multi-floor indoor localization system that utilizes data contributed by smartphone users through participatory sensing for automatic floor plan and radio map construction. Our system does not require...

article

RNA-seq and Tn-seq reveal fitness determinants of vancomycin-resistant Enterococcus faecium during growth in human serum

Xinglin Zhang, Vincent de Maat, Ana M. Guzmán Prieto, Tomasz K. Prajsnar, more

BMC Genomics > 2017 > 18 > 1 > 1-12

Background The Gram-positive bacterium Enterococcus faecium is a commensal of the human gastrointestinal tract and a frequent cause of bloodstream infections in hospitalized patients. The mechanisms by which E. faecium can survive and grow in blood during an infection have not yet been characterized. Here, we identify genes that contribute to growth of E. faecium in human serum through transcriptome...

article

Cichoric acid improved hyperglycaemia and restored muscle injury via activating antioxidant response in MLD-STZ-induced diabetic mice

Di Zhu, Xinglin Zhang, Yajie Niu, Zhijun Diao, more

Food and Chemical Toxicology > 2017 > 107 > PA > 138-149

Cichoric acid (CA), extracted from edible plants and vegetables, is a potential natural nutraceutical, with antioxidant and hypoglycaemic biological functions. The objective of this study was to explore the potential underlying molecular mechanisms involved in normalizing diabetes-related changes in hyperglycaemia via pancreas apoptosis and muscle injury induced by multiple low-dose STZ (MLD-STZ)...

article

SpatialRecruiter: Maximizing Sensing Coverage in Selecting Workers for Spatial Crowdsourcing

Xinglin Zhang, Zheng Yang, Yue-Jiao Gong, Yunhao Liu, more

IEEE Transactions on Vehicular Technology > 2017 > 66 > 6 > 5229 - 5240

Spatial crowdsourcing and crowdsensing are two emerging crowdsourcing paradigms, which enable a variety of location-based query and sensing tasks. In spatial crowdsourcing, mobile workers are required to travel physically to target locations in order to complete query tasks. Most existing work, hence, has focused on designing efficient query task assignment schemes to maximize the task completion...

article

Toward Efficient Mechanisms for Mobile Crowdsensing

Xinglin Zhang, Zheng Yang, Yunhao Liu, Jianqiang Li, more

IEEE Transactions on Vehicular Technology > 2017 > 66 > 2 > 1760 - 1771

Mobile crowdsensing systems aim to provide various novel applications by employing pervasive smartphones. A key factor to enable such systems is substantial participation of normal smartphone users, which requires effective incentive mechanisms. In this paper, we investigate incentive mechanisms for online scenarios, where users arrive and interact with a task requester in a random order, and they...

chapter

A novel genetic algorithm for constructing uniform test forms of cognitive diagnostic models

Ye-shi Jiang, Ying Lin, Jing-Jing Li, Zheng-jia Dai, more

2016 IEEE Congress on Evolutionary Computation (CEC) > 5195 - 5200

2016 IEEE Congress on Evolutionary Computation (CEC)

Cognitive diagnostic models (CDMs) are a new class of test models developed for educational assessment. They have gained growing attention in recent years for their distinctive ability to provide detailed feedback about examinees' ability. Automatic test assembly (ATA), as in other test models, has been one of the most critical issues in the development and applications of CDMs. However, developing...

chapter

A superpixel segmentation algorithm based on differential evolution

Yue-Jiao Gong, Yicong Zhou, Xinglin Zhang

2016 IEEE International Conference on Multimedia and Expo (ICME) > 1 - 6

2016 IEEE International Conference on Multimedia and Expo (ICME)

This paper deals with the superpixel segmentation problem using a powerful global optimization technique: Differential Evolution. The algorithm mimics the process of nature evolution to realize efficient optimization, and it poses no restrictions on the form of objective functions. This way, we develop a novel and comprehensive objective function considering both local and global costs in the segmentation,...

chapter

Chord Analysis Using Ensemble Constraints

David Gerhard, Xinglin Zhang

Studies in Computational Intelligence > Advances in Music Information Retrieval > Harmony > 119-142

Many applications in music information retrieval require the analysis of the harmonic structure of a music piece. In Western music, the harmonic structure can be often be well illustrated by the chord structure and sequence. This chapter presents a technique of disambiguation for chord recognition based on a priori knowledge of probabilities of voicings of the chord in a specific musical medium. The...

article

Incentives for Mobile Crowd Sensing: A Survey

Xinglin Zhang, Zheng Yang, Wei Sun, Yunhao Liu, more

IEEE Communications Surveys & Tutorials > 2016 > 18 > 1 > 54 - 67

Recent years have witnessed the fast proliferation of mobile devices (e.g., smartphones and wearable devices) in people's lives. In addition, these devices possess powerful computation and communication capabilities and are equipped with various built-in functional sensors. The large quantity and advanced functionalities of mobile devices have created a new interface between human beings and environments...

article

A Crowd Wisdom Management Framework for Crowdsourcing Systems

Xinglin Zhang, Longfei Shangguan, Ye Yuan

IEEE Access > 2016 > 4 > 9764 - 9774

A great many online users, with diverse backgrounds, act as powerful resources that mobile social networks (MSNs) can utilize for crowdsourcing. Exploiting these online users as crowd workers is promising yet nontrivial. To efficiently leverage human intelligence or crowd wisdom, we need to address the following issues: 1) how to motivate users to participate and 2) how to discourage malicious behaviors,...

article

Boosting Mobile Apps under Imbalanced Sensing Data

Xinglin Zhang, Zheng Yang, Longfei Shangguan, Yunhao Liu, more

IEEE Transactions on Mobile Computing > 2015 > 14 > 6 > 1151 - 1161

Mobile sensing apps have proliferated rapidly over the recent years. Most of them rely on inference components heavily for detecting interesting activities or contexts. Existing work implements inference components using traditional models designed for balanced data sets, where the sizes of interesting (positive) and non-interesting (negative) data are comparable. Practically, however, the positive...

article

Robust Trajectory Estimation for Crowdsourcing-Based Mobile Applications

Xinglin Zhang, Zheng Yang, Chenshu Wu, Wei Sun, more

IEEE Transactions on Parallel and Distributed Systems > 2014 > 25 > 7 > 1876 - 1885

Crowdsourcing-based mobile applications are becoming more and more prevalent in recent years, as smartphones equipped with various built-in sensors are proliferating rapidly. The large quantity of crowdsourced sensing data stimulates researchers to accomplish some tasks that used to be costly or impossible, yet the quality of the crowdsourced data, which is of great importance, has not received sufficient...

article

Energy-Efficient Neighbor Discovery in Mobile Ad Hoc and Wireless Sensor Networks: A Survey

Wei Sun, Zheng Yang, Xinglin Zhang, Yunhao Liu

IEEE Communications Surveys & Tutorials > 2014 > 16 > 3 > 1448 - 1459

Due to slow advance in battery technology, power remains a bottleneck to limit wide applications of mobile ad hoc and wireless sensor networks. Among all extensive studies on minimizing power consumption, neighbor discovery is one of the fundamental components focusing on communication and access. This work surveys research literature on neighbor discovery protocols (NDPs). In general, they can be...

article

Free Market of Crowdsourcing: Incentive Mechanism Design for Mobile Sensing

Xinglin Zhang, Zheng Yang, Zimu Zhou, Haibin Cai, more

IEEE Transactions on Parallel and Distributed Systems > 2014 > 25 > 12 > 3190 - 3200

Off-the-shelf smartphones have boosted large scale participatory sensing applications as they are equipped with various functional sensors, possess powerful computation and communication capabilities, and proliferate at a breathtaking pace. Yet the low participation level of smartphone users due to various resource consumptions, such as time and power, remains a hurdle that prevents the enjoyment...

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INFONA - science communication portal

Search results for: Xinglin Zhang

Cross‐neutralization of RBD mutant strains of SARS‐CoV‐2 by convalescent patient derived antibodies

A mechanism coordinating root elongation, endodermal differentiation, redox homeostasis and stress response

Molecular regulatory mechanisms of Escherichia coli O157:H7 in response to ultrasonic stress revealed by proteomic analysis

Recent Progress in Ferroptosis Inducers for Cancer Therapy

Acenaphthylene-imide based small molecules/TiO₂ bilayer as electron-transporting layer for solution-processing efficient perovskite solar cells

Three dimensional carbon substrate materials for electrolysis of water

MPiLoc: Self-Calibrating Multi-Floor Indoor Localization Exploiting Participatory Sensing

RNA-seq and Tn-seq reveal fitness determinants of vancomycin-resistant Enterococcus faecium during growth in human serum

Cichoric acid improved hyperglycaemia and restored muscle injury via activating antioxidant response in MLD-STZ-induced diabetic mice

SpatialRecruiter: Maximizing Sensing Coverage in Selecting Workers for Spatial Crowdsourcing

Toward Efficient Mechanisms for Mobile Crowdsensing

A novel genetic algorithm for constructing uniform test forms of cognitive diagnostic models

A superpixel segmentation algorithm based on differential evolution

Chord Analysis Using Ensemble Constraints

Incentives for Mobile Crowd Sensing: A Survey

A Crowd Wisdom Management Framework for Crowdsourcing Systems

Boosting Mobile Apps under Imbalanced Sensing Data

Robust Trajectory Estimation for Crowdsourcing-Based Mobile Applications

Energy-Efficient Neighbor Discovery in Mobile Ad Hoc and Wireless Sensor Networks: A Survey

Free Market of Crowdsourcing: Incentive Mechanism Design for Mobile Sensing

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