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Modal Decoupled Dynamics Feed-Forward Active Force Control of Spatial Multi-DOF Parallel Robotic Manipulator

According to the parallel mechanism theory, this paper proposes a novel intelligent robotic spine brace for the treatment of scoliosis. Nevertheless, this type of parallel mechanism has the following disadvantages: strong dynamic coupling in task space or joint space, adverse effect of system’s gravity, and lower response frequency in roll and pitch orientations, which seriously...

Enhanced Roles of Carbon Architectures in High-Performance Lithium-Ion Batteries

rate performance. Open image in new window KeywordsLithium-ion battery Carbon architecture Energy density Power density Assembly  Lu Wang and Junwei Han have contributed equally to this work. 1

Sulfidation mechanism of ZnO roasted with pyrite

Sulfidation is a widely used technology to improve the floatability of oxidized metal minerals or to stabilize the heavy metals in various wastes. The sulfidation mechanism of ZnO with pyrite was detailedly studied by thermodynamic calculation and roasting experiments. The sulfidation behaviors, phase transformations, microscopic morphology and surface properties were...

Shock Mechanism Analysis and Simulation of High-Power Hydraulic Shock Wave Simulator

The simulation of regular shock wave (e.g., half-sine) can be achieved by the traditional rubber shock simulator, but the practical high-power shock wave characterized by steep prepeak and gentle postpeak is hard to be realized by the same. To tackle this disadvantage, a novel high-power hydraulic shock wave simulator based on the live firing muzzle shock principle was proposed...

Special issue on multimodal data fusion for multidimensional signal processing

Associate Editor for two international journals including Multidimensional Systems and Signal Processing (Springer) and Int. J. of Pattern Recognition and Artificial Intelligence. Junwei Han is a currently a

Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty

AffiliationsSchool of Automation, Northwestern Polytechnical University, Xi’an, 710072, ChinaLei Du, Junwei Han & Lei GuoRadiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, 46202 ... journals • PubMed • Google Scholar Search for Shannon L. Risacher in:Nature Research journals • PubMed • Google Scholar Search for Junwei Han in:Nature Research journals • PubMed • Google Scholar Search

LncRNAs2Pathways: Identifying the pathways influenced by a set of lncRNAs of interest based on a global network propagation method

Long non-coding RNAs (lncRNAs) have been demonstrated to play essential roles in diverse cellular processes and biological functions. Exploring the functions associated with lncRNAs may help provide insight into their underlying biological mechanisms. The current methods primarily focus on investigating the functions of individual lncRNAs; however, essential biological functions...

HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI)

. His research interest focuses on functional brain imaging, its dynamics, and big data tools for the analysis. Junwei Han received his BS, MS, and Ph.D. degrees from Northwestern Polytechnic University

Correction: Construction of Multi-Scale Consistent Brain Networks: Methods and Applications

Bao Ge , Yin Tian, Xintao Hu, Hanbo Chen, Dajiang Zhu, Tuo Zhang, Junwei Han, Lei Guo The following information is missing from the Funding section: This study was supported by NSFC 61403243, the

Construction of Multi-Scale Consistent Brain Networks: Methods and Applications

Mapping human brain networks provides a basis for studying brain function and dysfunction, and thus has gained significant interest in recent years. However, modeling human brain networks still faces several challenges including constructing networks at multiple spatial scales and finding common corresponding networks across individuals. As a consequence, many previous methods...

A Comparative Study of Theoretical Graph Models for Characterizing Structural Networks of Human Brain

Previous studies have investigated both structural and functional brain networks via graph-theoretical methods. However, there is an important issue that has not been adequately discussed before: what is the optimal theoretical graph model for describing the structural networks of human brain? In this paper, we perform a comparative study to address this problem. Firstly, large...

A Comparative Study of Theoretical Graph Models for Characterizing Structural Networks of Human Brain

Previous studies have investigated both structural and functional brain networks via graph-theoretical methods. However, there is an important issue that has not been adequately discussed before: what is the optimal theoretical graph model for describing the structural networks of human brain? In this paper, we perform a comparative study to address this problem. Firstly, large...

A Comparative Study of Theoretical Graph Models for Characterizing Structural Networks of Human Brain

Previous studies have investigated both structural and functional brain networks via graph-theoretical methods. However, there is an important issue that has not been adequately discussed before: what is the optimal theoretical graph model for describing the structural networks of human brain? In this paper, we perform a comparative study to address this problem. Firstly, large...

Prioritizing Candidate Disease Metabolites Based on Global Functional Relationships between Metabolites in the Context of Metabolic Pathways

Identification of key metabolites for complex diseases is a challenging task in today's medicine and biology. A special disease is usually caused by the alteration of a series of functional related metabolites having a global influence on the metabolic network. Moreover, the metabolites in the same metabolic pathway are often associated with the same or similar disease. Based on...

Coevolution of Gyral Folding and Structural Connection Patterns in Primate Brains

Both cortical folding and structural connection patterns are more elaborated during the evolution of primate neocortex. For instance, cortical gyral shapes and structural connection patterns in humans are more complex and variable than those in chimpanzees and macaques. However, the intrinsic relationship between gyral folding and structural connection and their coevolution...

Dissection of miRNA-miRNA Interaction in Esophageal Squamous Cell Carcinoma

The relationships between miRNAs and their regulatory influences in esophageal carcinoma remain largely unknown. Accumulated evidence suggests that delineation of subpathways within an entire pathway can underlie complex diseases. To analyze the regulation of differentially expressed miRNAs in subpathways of esophageal squamous cell carcinoma (ESCC), we constructed bipartite...

Identification of miRNA-Mediated Core Gene Module for Glioma Patient Prediction by Integrating High-Throughput miRNA, mRNA Expression and Pathway Structure

The prognosis of glioma patients is usually poor, especially in patients with glioblastoma (World Health Organization (WHO) grade IV). The regulatory functions of microRNA (miRNA) on genes have important implications in glioma cell survival. However, there are not many studies that have investigated glioma survival by integrating miRNAs and genes while also considering pathway...

Topologically inferring risk-active pathways toward precise cancer classification by directed random walk

Motivation: The accurate prediction of disease status is a central challenge in clinical cancer research. Microarray-based gene biomarkers have been identified to predict outcome and outperform traditional clinical parameters. However, the robustness of the individual gene biomarkers is questioned because of their little reproducibility between different cohorts of patients...

Characterizing the Network of Drugs and Their Affected Metabolic Subpathways

A fundamental issue in biology and medicine is illustration of the overall drug impact which is always the consequence of changes in local regions of metabolic pathways (subpathways). To gain insights into the global relationship between drugs and their affected metabolic subpathways, we constructed a drug–metabolic subpathway network (DRSN). This network included 3925...

Subpathway-GM: identification of metabolic subpathways via joint power of interesting genes and metabolites and their topologies within pathways

Various ‘omics’ technologies, including microarrays and gas chromatography mass spectrometry, can be used to identify hundreds of interesting genes, proteins and metabolites, such as differential genes, proteins and metabolites associated with diseases. Identifying metabolic pathways has become an invaluable aid to understanding the genes and metabolites associated with studying...