Secure Non-interactive User Re-enrollment in Biometrics-Based Identification and Authentication Systems

Abstract We are applying robotics and information technology to assist, enhance, and quantify neuro-rehabilitation. Our goal is a new class of interactive, user-affectionate clinical devices designed not only for evaluating patients, but also for delivering meaningful therapy via engaging “video games.” Notably, the novel robot MIT-MANUS has been designed and programmed for clinical neurological applications, and has undergone extensive clinical trials for more than four years at Burke Rehabilitation Hospital – White Plains, NY. This paper will review the main result of the pilot clinical trial of the 20 patients focusing on the consequences of thalamic lesions.

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IPEV: a web server for inferring pathogenic enhancers with variants

10.21203/rs.2.14112/v1 ◽

2019 ◽

Author(s):

Guanxiong Zhang ◽

Aimin Xie ◽

Jing Bai ◽

Tao Luo ◽

Huating Yuan ◽

...

Keyword(s):

Transcription Factor ◽

Genetic Variants ◽

Target Genes ◽

Genetic Alterations ◽

Enhancer Activity ◽

Web Environment ◽

One Stop ◽

User Friendly ◽

Coding Variants ◽

Interactive User

Abstract Background Enhancer has been recognized as an important driver whose genetic alterations contribute to disease progression. However, there is still no easy-to-use tools to identify pathogenic enhancers, allowing for deciphering functional influence of genetic variants on enhancer. Results We developed a user-friendly one-stop shop platform, named inferring pathogenic enhancer with variant (IPEV), only requiring variants as input, to quickly infer the pathogenic enhancers that harbor variants affecting their activities. Results of IPEV are explored in an interactive, user-friendly web environment, which is designed to highlight the most probable pathogenic enhancers and their target genes. Furthermore, IPEV provides intuitive visualizations of how a variant affects the corresponding enhancer activity by mediating TF binding changes. Conclusions IPEV is specially designed to prioritize the potentially pathogenic enhancers with genetic variants, and provides intuitive visualizations how a variant affects the corresponding enhancer activity by mediating which transcription factor binding changes. The use of IPEV does not require any specialized computer skills. We believe that IPEV will be useful in interpreting non-coding variants by the inferring pathogenic enhancers. It is freely available at http://biocc.hrbmu.edu.cn/IPEV/ or http://210.46.80.168/IPEV and supports recent versions of all major browsers.

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An Intelligent Interactive Layout CAD System for Industrial Plants

2nd International Conference on Design Theory and Methodology ◽

10.1115/detc1990-0105 ◽

1990 ◽

Author(s):

Ken-ichi Kameyama ◽

Koichi Kondo ◽

Koichi Ohtomi

Keyword(s):

Industrial Plant ◽

Production Rules ◽

Design Environment ◽

Plant Layout ◽

Industrial Plants ◽

Major Function ◽

Cad System ◽

Constraint Checking ◽

Data Updating ◽

Interactive User

Abstract This paper describes an industrial plant layout system with an intelligent interactive user-interface. This system offers a powerful design environment, in which a designer can concurrently draw and check a layout plan, which can not be realized on a conventional plant layout CAD system. The major function of the system is the automatic constraint checking of each designer’s drafting action. This function is achieved by the integration of a geometric modeler, frame representation, and production rules. The geometric modeler is used for extracting the information for data updating and constraint checking from graphical objects, which are directly manipulated by a designer. Frame representation is used for representing the attributes of the equipments and the areas, and these attributes are handled by production rules. Production rules are used for representing the constraint checking and data updating procedures, and can be executed as required.

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