Aurora Medical GroupAurora Baycare Medical Center 2845 Greenbrier Rd, Green Bay, WI 54311 (920)2888000 (phone), (920)2885510 (fax)
Bay Care Clinic Physical Medicine 2845 Greenbrier Rd STE 340, Green Bay, WI 54311 (920)2888377 (phone), (920)2888385 (fax)
Education:
Medical School The Fourth Military Med Univ, Xian City, Shaanxi, China Graduated: 1984
Procedures:
Physical Medicine and Rehabilitation, Tests and Measurements Physical Therapy Physical Therapy Evaluation Arthrocentesis Neurological Testing
Conditions:
Cholelethiasis or Cholecystitis Gastrointestinal Hemorrhage Inguinal Hernia Malignant Neoplasm of Esophagus Varicose Veins
Languages:
Chinese English French Spanish
Description:
Dr. Chen graduated from the The Fourth Military Med Univ, Xian City, Shaanxi, China in 1984. He works in Green Bay, WI and 1 other location and specializes in Physical Medicine & Rehabilitation. Dr. Chen is affiliated with Aurora Baycare Medical Center.
Dr. Chen graduated from the Peking Union Med Coll, Beijing, Beijing, China in 1993. She works in Rego Park, NY and specializes in Pediatrics. Dr. Chen is affiliated with Flushing Hospital Medical Center and Jamaica Hospital Medical Center.
Name / Title
Company / Classification
Phones & Addresses
Xin Chen President
Chen's King Wok, Inc Eating Place · Full-Service Restaurants
6100 NW Hwy, Bull Valley, IL 60014 (815)3568899, (815)3568912
Xin Chen Principal
Microcera LLC Business Services at Non-Commercial Site
155 W Rand Rd, Arlington Heights, IL 60004 (847)8708888
Us Patents
Composite Body Of Silicon Carbide And Binderless Carbon, Process For Producing Such Composite Body, And Article Of Manufacturing Utilizing Such Composite Body For Tribological Applications
A composite body of silicon carbide having binderless, allotropic carbon granules distributed throughout is produced. The nominal size of the binderless allotropic carbon granules can range from 5 to 500 micrometers. The concentration of the binderless allotropic carbon particles can vary from 1. 0 to 35. 0 weight percent. The process to produce such a composite body is to sinter silicon carbide with binderless, carbon-yielding precursor granules. The composite body is utilized in tribological applications. The dense, impervious silicon carbide-binderless carbon composite exhibits excellent physical and tribological characteristics when used as a mechanical face seal, a sliding bearing arrangement, or some other rubbing component.
Ceramic Composite Body Of Silicon Carbide/Boron Nitride/Carbon
A ceramic composite body comprising sintered silicon carbide as major phase, dispersed boron nitride/carbon granules as minor phase, and the boron nitride/carbon granules comprise hexagonal phase boron nitride powders bonded together by glassy carbon. The composite body contains at least 3 weight percent of boron nitride, the average size of the boron nitride granules is greater than 10 micrometers, and the shape of majority of the granules is irregular. The composite body of high boron nitride loading can be further processed to improve mechanical and thermal properties by filling the porosity with glassy carbon, obtained from carbonizing glassy carbon precursor. The composite material exhibits superior thermal and tribological characteristics than monolithic silicon carbide.
System And Method For Revealing Occluded Objects In An Image Dataset
Xin Chen - Evanston IL, US William Gale - Oak Park IL, US
Assignee:
NAVTEQ North America, LLC - Chicago IL
International Classification:
G06K 9/36 G06K 9/00 G06T 15/40 G06G 5/13
US Classification:
382284, 382154, 382103, 345629, 345421
Abstract:
Disclosed are a system and method for identifying objects in an image dataset that occlude other objects and for transforming the image dataset to reveal the occluded objects. In some cases, occluding objects are identified by processing the image dataset to determine the relative positions of visual objects. Occluded objects are then revealed by removing the occluding objects from the image dataset or by otherwise de-emphasizing the occluding objects so that the occluded objects are seen behind it. A visual object may be removed simply because it occludes another object, because of privacy concerns, or because it is transient. When an object is removed or de-emphasized, the objects that were behind it may need to be “cleaned up” so that they show up well. To do this, information from multiple images can be processed using interpolation techniques. The image dataset can be further transformed by adding objects to the images.
Lithium/Carbon Monofluoride Batteries With Organosilicon Electrolytes
Monica L. Usrey - Madison WI, US Xin Chen - Madison WI, US Jose A. Pena Hueso - Madison WI, US Robert C. West - Madison WI, US Robert J. Hamers - Madison WI, US
Assignee:
Wisconsin Alumni Research Foundation - Madison WI
International Classification:
H01M 6/16
US Classification:
429324, 42923195, 429326
Abstract:
Disclosed are lithium/carbon monofluoride batteries suitable for long term use at highly elevated temperatures. Organosilicon electrolytes having low vapor pressure and high flash points are used, along with lithium salts and ceramic separators. Methods of using these batteries at high temperatures are also disclosed.
Determining Travel Path Features Based On Retroreflectivity
Matei Nicolai Stroila - Chicago IL, US Xin Chen - Evanston IL, US Mahsa Kamali Moghaddam - Champaign IL, US Victor Lu - Urbana IL, US Bradley Dean Kohlmeyer - Lisle IL, US
International Classification:
G06F 19/00 G01S 1/00 G01C 3/06
US Classification:
702 5, 34235706, 356 401
Abstract:
Systems, devices, features, and methods for determining geographic features corresponding to a travel path to develop a map database, such as a navigation database, are disclosed. For example, one method comprises emitting light from a light source, such as a LIDAR device, while on the travel path. Returning light is received based on the emitted light. The returning light is used to generate data points representing an area about the travel path. The data points are filtered as a function of a return intensity value to identify a feature associated with the travel path, in which the feature is treated with a retroreflective substance.
Determining Geographic Position Information From A Single Image
Xin Chen - Evanston IL, US Xiangheng Yang - Glenview IL, US Roger B. Hui - Northbrook IL, US Narayanan Alwar - South Barrington IL, US
International Classification:
H04N 7/18
US Classification:
348116, 348E07085
Abstract:
Systems, devices, features, and methods for determining geographic position information from an image are disclosed. For example, one method for determining the geographic position information is used to develop a navigation database. The method comprises capturing a plurality of images of geographic features by a camera mounted on a vehicle or a pedestrian. A single image from the plurality of images is identified or selected. A real-world ground distance between a reference ground point in the single image and a ground point corresponding to an object in the single image is determined based on determined calibration values corresponding to the camera. Real-world geographic position information, such as a latitude coordinate and a longitude coordinate, of the ground point corresponding to the object in the single image is determined based on the determined real-world ground distance.
Determining A Geometric Parameter From A Single Image
Xin Chen - Evanston IL, US Roger B. Hui - Northbrook IL, US Narayanan Alwar - South Barrington IL, US
International Classification:
H04N 7/18
US Classification:
348118, 348E07085
Abstract:
Systems, devices, features, and methods for determining a geometric parameter from an image are disclosed. For example, one method for determining the geometric parameter is used to develop a navigation database. The method comprises determining calibration values corresponding to a camera mounted on a vehicle or a pedestrian. A plurality of images of geographic features are captured by the camera. A single image from the plurality of images is identified or selected. A geometric parameter of a region in the single image is determined based on the determined calibration values. For example, the geometric parameter is a real-world distance, such as a real-world length or width.
Detecting Common Geographic Features In Images Based On Invariant Components
Systems, devices, features, and methods for detecting common geographic features in images, such as, for example, to develop a navigation database are disclosed. For example, a method of detecting a common text pattern, such as for a road or path sign, from collected images includes collecting a plurality of images of geographic areas along a road or path. An image of the plurality of images is selected. Components that correspond to an object about the road or path in the selected image are determined. In one embodiment, the determined components are independent or invariant to scale of the object. The determined components are compared to reference components in a data library. If the determined components substantially match the reference components, the object in the selected image is identified to be a common pattern, such as for a standard road or path sign, corresponding to the reference components in the data library.
2015 to 2000 Guest Editor, Special Issue on Computational Transportation ScienceAdjunct Assistant Professor Sep 2012 to 2000Adjunct Professor and Ph.D. Advisor Aug 2010 to 2000HERE, a NOKIA
Jun 2006 to 2000 Senior Research Scientist, Engineering Manager, University Cooperation AmbassadorACM SIGSPATIAL GIS Cup
2014 to 2015 Contest ChairInternational Workshop on Computational Transportation Science
2014 to 2014 Workshop ChairACM SIGSPATIAL GIS Cup
2014 to 2014 Local Chair, IEEE International ConferenceSeminar at Robotics group London 2014 to 2014Junzhou Huang Arlington, TX 2014 to 2014Junzhou Huang Arlington, TX 2014 to 2014 per deliverable from Nokia and lead a research collaborationJunzhou Huang
2014 to 2014Junzhou Huang
2014 to 2014NIST Forensic Science Center of Excellence Program
2014 to 2014Heterogeneous Sensors
2014 to 2014wide top awards for Hack Week competition
2013 to 2014IPRO
2013 to 2013 IPRO course developmentACM SIGSPATIAL International Conference on Advances in GIS
2012 to 2013 Publicity ChairHERE, a NOKIA
2012 to 2012 Corporate Relations Chair, IEEE International Conference on Computer Vision and Pattern RecognitionNorthern Illinois University
2012 to 2012Argonne National Lab
2012 to 2012Northwestern University
2012 to 2012IPRO
2012 to 2012 IPRO course developmentACM SIGSPATIAL International Conference on Advances in GIS
2011 to 2011 Local Chair3D Imaging Modeling Processing Visualization and Transmission
2011 to 2011 Publicity ChairIllinois Institute of Technology
2011 to 2011California at Los Angeles Los Angeles, CA 2011 to 2011Notre Dame
2011 to 2011HERE, a NOKIA
2010 to 2011ACM Multimedia
2010 to 2010 Technical Program ChairACM SIGMM International Conference on Multimedia Information
2010 to 2010 Industrial & Demo Program ChairSeminar at Information Sciences and Technology College
2010 to 2010Talk at Midwest University Industry Summit, Purdue University
2010 to 2010Purdue University
2010 to 2010Seminar at Computational Transportation Science Program, University of Illinois Chicago, IL 2010 to 2010California at Los Angeles Los Angeles, CA 2010 to 2010Dynasty Group, Inc
2010 to 2010U. of Notre Dame
2010 to 2010University of Notre Dame
2009 to 2009Seminar at Robotics Institute
2009 to 2009Columbia University
2009 to 2009University of Wisconsin Madison, WI 2009 to 2009Seminar at Beckman Institute Urbana, IL 2009 to 2009Engineering and Applied Science, Northwestern University
2009 to 2009Indiana University Purdue University
2009 to 2009U. of Notre Dame
2009 to 2009Notre Dame
2008 to 2008University of Notre Dame Notre Dame, IN Aug 2001 to Jun 2006 Research AssistantEquinox Corporation Baltimore, MD May 2005 to Sep 2005 Research Intern
Education:
University of Notre Dame Notre Dame, IN May 2006 Ph.D. in Computer Science and EngineeringUniversity of Science and Technology of China May 2003 M.S. in Computer Science and Engineering
2013 to 2000 ResearcherUniversity of Wisconsin-Madison Madison, WI 2011 to 2013Brigham Young University
2006 to 2011
Education:
Brigham Young University 2006 to 2011 Ph.D. of Analytical ChemistryNanjing University Nanjing, CN 1999 to 2002 Master of Physical ChemistryNanjing University Nanjing, CN 1994 to 1998 Bachelor of Science in Chemistry
Mar 2011 to 2000 Research AssociateBrigham Young University
Jan 2006 to Jan 2011 Research AssistantZhenjiang Development & Reform Commission Zhenjiang, CN 2002 to 2005 Civil EngineerNanjing University Nanjing, CN Sep 1999 to Jun 2002 Research Assistant
Education:
Brigham Young University 2006 to 2011 Ph.D. of Analytical ChemistryNanjing University Nanjing, CN 1999 to 2002 Master of Physical ChemistryNanjing University Nanjing, CN 1994 to 1998 Bachelor of Science in Chemistry
The next step is to investigate whether it is possible to develop a drug delivery system based on graphene oxide for Alzheimers disease, says Xin Chen. We also want to test whether graphene oxide has beneficial effects in additional models of neurodegenerative diseases, such as Parkinsons diseaReference: Graphene Oxide Attenuates Toxicity of Amyloid- Aggregates in Yeast by Promoting Disassembly and Boosting Cellular Stress Response by Xin Chen, Santosh Pandit, Lei Shi, Vaishnavi Ravikumar, Julie Bonne Khler, Ema Svetlicic, Zhejian Cao, Abhroop Garg, Dina Petranovic and Ivan Mijakovic,
Date: Oct 04, 2023
Category: Health
Source: Google
Cells Get a Makeover, Cancer Follows: A Path to New Therapies or Warning to ...
In this case, two young scientists, Holger Willenbring and Xin Chen, were trying to study a deadly, and fairly common, form of liver cancer called hepatocellular carcinoma. Chen and her group hoped to induce the cancer by activating oncogenes, genes that trigger cancer, in a group of liver cells cal
Although the components have each been reported before, "It is probably one of the first and best demonstrations of a combination of nanotechology, hydrogen-fuel technology and soft robotics," said Xin Chen of Boston University who was not a part of the study.