A system and method for fast peak finding in an optical spectrum prioritizes the information it first generates and how the information is then forwarded from the system to a host computer, for example. A spectrum detection subsystem generates a spectrum of an optical signal. An analog-to-digital converter converts the spectrum into sample data. Finally, a data processing subsystem first detects the spectral locations of peaks in the spectrum using the sample data and then uploads the peak information to a host computer before performing processing to determine the shapes of the peaks and/or noise information for the optical signal, for example. The system is thus able to quickly find some information, such as whether or not channels or carriers are present, at what frequency the carriers are operating, and the carriers power level, and send this information to the host computer. In contrast, information concerning spectral shape or the noise floor is sent later in time.
System And Method For Optical Spectrum Fast Peak Reporting
Yu Li - Newton MA, US Peter S. Whitney - Lexington MA, US Jeffrey A. Korn - Lexington MA, US
Assignee:
Axsun Technologies, Inc. - Billerica MA
International Classification:
G01N 21/25
US Classification:
356416
Abstract:
A system and method for fast peak finding in an optical spectrum prioritizes the information it first generates and how the information is then forwarded from the system to a host computer, for example. A spectrum detection subsystem generates a spectrum of an optical signal. An analog-to-digital converter converts the spectrum into sample data. Finally, a data processing subsystem first detects the spectral locations of peaks in the spectrum using the sample data and then uploads the peak information to a host computer before performing processing to determine the shapes of the peaks and/or noise information for the optical signal, for example. The system is thus able to quickly find some information, such as whether or not channels or carriers are present, at what frequency the carriers are operating, and the carriers' power level, and send this information to the host computer. In contrast, information concerning spectral shape or the noise floor sent later in time.
Antibodies Specific For Phosphorylated Insulin Receptor Substrate-1/2 (Ser1101/Ser1149) And Uses Thereof
Roberto Polakiewicz - Lexington MA, US Jiong Wu - Reading MA, US Yu Li - Andover MA, US
Assignee:
Cell Signaling Technology, Inc. - Danvers MA
International Classification:
A61K 39/00 A61K 39/395 C07K 16/00
US Classification:
4241391, 4241411, 5303879
Abstract:
The invention discloses newly-discovered phosphorylation sites in human IRS-1 and IRS-2, serine 1101 (Ser1101) and serine 1149 (Ser1149) respectively, and provides antibodies, both polyclonal and monoclonal, that selectively bind to IRS-1 and/or IRS-2 when phosphorylated at these respective sites, but do not bind to IRS-1 and/or IRS-2 when not phosphorylated at these respective sites. The sites are relevant to insulin-resistance in type 2 diabetes. Also provided are methods for determining the phosphorylation of IRS-1/2 or activity of PKC theta in a biological sample, by using a detectable reagent, such as the disclosed antibodies, that binds to IRS-1/2 only when phosphorylated at Ser1101/Ser1149. Kits comprising the phosphor-IRS-1/2 (Ser1101/1149) antibodies of the invention are also provided.
Reagents For The Detection Of Protein Phosphorylation In Egfr-Signaling Pathways
Ailan Guo - Burlington MA, US Kimberly Lee - Seattle WA, US Klarisa Rikova - Reading MA, US Charles Farnsworth - Concord MA, US Albrecht Moritz - Salem MA, US Yu Li - Andover MA, US Robert Polakiewicz - Lexington MA, US
The invention discloses 168 novel phosphorylation sites identified in signal transduction proteins and pathways downstream of, and including, EGFR kinase, and provides phosphorylation-site specific antibodies and heavy-isotope labeled peptides (AQUA peptides) for the selective detection and quantification of these phosphorylated sites/proteins, as well as methods of using the reagents for such purpose. Among the phosphorylation sites identified are sites occurring in the following protein types: Actin Binding proteins, Adaptor/Scaffold proteins, Calcium-Binding Proteins, Cell Cycle Regulation proteins, Cytoskeletal proteins, DNA Binding and Replication Proteins, GTPase Activating proteins, Guanine Nucleotide Exchange Factor proteins, Lipid Kinases, Receptor Tyrosine Kinases, Receptor Tyrosine Kinase ligands, Protein Kinases, Receptor and Protein Phosphatases, Transcription Factor proteins, Tumor Suppressor proteins, and Vesicle proteins.
Spectroscopy Wavelength And Amplitude Referencing System And Method
Dale C. Flanders - Lexington MA, US Yu Nathan Li - Lexington MA, US Mark E. Kuznetsov - Lexington MA, US Walid A. Atia - Lexington MA, US
Assignee:
Axsun Technologies, Inc. - Billerica MA
International Classification:
G01B 9/02
US Classification:
356451
Abstract:
A spectroscopy wavelength and amplitude referencing system comprises an optical bench receiving a tunable optical signal from a tunable signal source, a wavelength reference detector on the bench for determining a wavelength of the tunable optical signal, an amplitude reference detector on the bench for determining an amplitude of the tunable optical signal and an output optical signal fiber for transmitting the tunable optical signal to a sample. Also, spectroscopy system controller determines a spectral response of the sample to the tunable optical signal by determining an instantaneous wavelength of the tunable optical signal by reference to the wavelength reference detector.
System And Method For Optical Spectrum Fast Peak Reporting
A system and method for fast peak finding in an optical spectrum prioritizes the information it first generates and how the information is then forwarded from the system to a host computer, for example. A spectrum detection subsystem generates a spectrum of an optical signal. An analog-to-digital converter converts the spectrum into sample data. Finally, a data processing subsystem first detects the spectral locations of peaks in the spectrum using the sample data and then uploads the peak information to a host computer before performing processing to determine the shapes of the peaks and/or noise information for the optical signal, for example. The system is thus able to quickly find some information, such as whether or not channels or carriers are present, at what frequency the carriers are operating, and the carriers' power level, and send this information to the host computer. In contrast, information concerning spectral shape or the noise floor sent later in time.
Reagents For The Detection Of Protein Phosphorylation In Carcinoma Signaling Pathways
Roberto Polakiewicz - Lexington MA, US Ailan Guo - Burlington MA, US Albrecht Moritz - Salem MA, US Klarisa Rikova - Reading MA, US Kimberly Lee - Seattle WA, US Erik Spek - Cambridge MA, US Yu Li - Andover MA, US Charles Farnsworth - Concord MA, US
International Classification:
G01N 33/53 C07K 16/18 C07K 14/00 C12N 5/18
US Classification:
435 78, 436536, 5303877, 530402, 435346
Abstract:
The invention discloses nearly 443 novel phosphorylation sites identified in signal transduction proteins and pathways underlying human carcinoma, and provides phosphorylation-site specific antibodies and heavy-isotope labeled peptides (AQUA peptides) for the selective detection and quantification of these phosphorylated sites/proteins, as well as methods of using the reagents for such purpose. Among the phosphorylation sites identified are sites occurring in the following protein types: Protein kinases (including Serine/Threonine dual specificity, and Tyrosine kinases), Adaptor/Scaffold proteins, Transcription factors, Phospoatases, Tumor supressors, Ubiquitin conjugating system proteins, Translation initiation complex proteins, RNA binding proteins, Apoptosis proteins, Adhesion proteins, G protein regulators/GTPase activating protein/Guanine nucleotide exchange factor proteins, and DNA binding/replication/repair proteins, as well as other protein types.
Reagents For The Detection Of Protein Phosphorylation In Carcinoma Signaling Pathways
Ailan Guo - Burlington MA, US Klarisa Rikova - Reading MA, US Albrecht Moritz - Salem MA, US Yu Li - Andover MA, US Charles Farnsworth - Concord MA, US Kimberly Lee - Seattle WA, US Roberto Polakiewicz - Lexington MA, US
International Classification:
C07K 16/18
US Classification:
5303877
Abstract:
The invention discloses 214 novel phosphorylation sites identified in signal transduction proteins and pathways underlying human carcinoma, and provides phosphorylation-site specific antibodies and heavy-isotope labeled peptides (AQUA peptides) for the selective detection and quantification of these phosphorylated sites/proteins, as well as methods of using the reagents for such purpose. Among the phosphorylation sites identified are sites occurring in the following protein types: Adaptor/Scaffold proteins, Cytoskeleton proteins, GTP Signaling proteins, Kinases, Metabolism proteins, Phosphatases/Phospho-diesterases/Proteases, Receptor proteins, RNA Processing proteins, Transcription proteins, Translation proteins, Transporter proteins, and Ubitquitin proteins, as well as other protein types.
Name / Title
Company / Classification
Phones & Addresses
Yu Li President
Cheng Jian Building Deco Inc Business Services
1836 125 St, Flushing, NY 11356
Yu Cheng Li Ceo
GIFU, INC
Faneuil Hall Market Pl, Boston, MA 02109 Newton Center, MA 02459
Yu C. Li Principal
East and West Treatment Center Nonclassifiable Establishments
3445 83 St, Flushing, NY 11372
Yu Li Principal
Lily House 3 Chinese Restaurant Eating Place
336 Main St, Hackensack, NJ 07601
Yu Hui Li Treasurer
HOCKEY MINISTRIES INTERNATIONAL
Yu Li Principal
XO RESTAURANT, INC Eating Place
148 Hester St, New York, NY 10013 146 Hester St, New York, NY 10013
Yu Li
LEE INTERNATIONAL, LLC Business Services Business Services at Non-Commercial Site
Dr. Li graduated from the China Med Univ, Shenyang City, Liaoning, China in 1985. He works in Davenport, IA and 1 other location and specializes in Anatomic Pathology & Clinical Pathology. Dr. Li is affiliated with Trinity Medical Center Moline, Unitypoint Health Trinity, UnityPoint Health Trinity Bettendorf and Unitypoint Health Trinity Regional Medical Center.
Jul 2014 to Jul 2014Development Project of Torque Vectoring Systems
Apr 2014 to Apr 2014Vehicle NVH Lab Series
Jan 2014 to Apr 2014 Clemson University Graduate StudentAutomatic Windshield Shade Development Project 2013 to Dec 2013Plant Layout Design- Simulation Project
2013 to Dec 2013JAC Motors
Dec 2012 to May 2013
Education:
Clemson University Aug 2013 MS in Automotive ResearchHefei University of Technology Sep 2009 to Jul 2013 BS in Automotive Engineering
Skills:
Rich experience with mechanical tasks, working with hand tools, application of fastening torques on automobiles<br/> Rich experience with sensors, actuators, data acquisition boards (eDAQ)<br/> Software: Matlab, Solidworks, CATIA, LabVIEW, Carsim, Microsoft Office<br/> Proficient project management tools<br/> Proficient English and Mandarin<br/> Excellent communication skills and team work skills
Socit Gnrale Securities Hong Kong, Hong Kong Island Jul 2014 to Aug 2014 Sales & Trading Intern - Commodities GroupsChina Construction Bank (Asia) (CCBA) Hong Kong Dec 2013 to Feb 2014 Intern of Trade Finance Division and Structure Finance DivisionChina Construction Bank New York, NY Jun 2013 to Jul 2013 Intern - Finance & Accounting DepartmentZhongtongcheng Assets Evaluation Co., Ltd
Jun 2011 to Aug 2011 Intern - Assets-Evaluation TeamInternational Business Department Hangzhou China Jul 2010 to Aug 2010 Assistant Trade Finance Officer
Education:
Pace University Lubin Business School New York, NY Aug 2012 to 2000 Master in AccountancyShandong University of Finance and Economics Oct 2008 to Jul 2012 Bachelor of EconomicsIn Shandong University of Finance and Economics Initiation Debate Competition of Shandong University of Finance and Economics
Nov 2012 to 2000 Chief Representative of New YorkBEIJING GALLOPING HORSE TV & FILM PRODUCTION New York, NY Aug 2009 to Nov 2012 Assistant Director of Business DevelopmentBARUCH COLLEGE /CUNY
Jun 2008 to Aug 2009 Student Ambassador and Peer Mentor
Education:
FUQUA SCHOOL OF BUSINESS, Duke University Durham, NC 2014 to 2016 Master of Business AdministrationSCHOOL OF CONTINUING AND PROFESSIONAL STUDIES, New York University New York, NY 2013 Advanced ExcelBARUCH COLLEGE, City University of New York New York, NY May 2011 Bachelor of Business Administration in Economics
Skills:
Computer: Microsoft Word, Excel, PowerPoint, Access CFA Level 1 Candidate (June 2014 Exam) Fluent in Mandarin
2006 to 2000 Research Teaching SpecialistNew York University School of Medicine, Dept New York, NY 2003 to 2006 Post-doctoral FellowAntigen Express Inc Worcester, MA 2002 to 2003 Research Associate (Postdoctoral Fellow)Dept. of Biology Nanchang, CN 1995 to 1996 Researcher and Lecturer
Education:
Shanghai Second Medical University Sep 1999 to Jul 2002 Ph.D. in Molecular BiologyShanghai Second Medical University Sep 1996 to Aug 1999 Masters in BiochemistryNanchang University Sep 1991 to Jul 1995 Bachelors in Biology
National University of Singapore - Computer Science, Beijing University of Posts and Telecommunications - Information Engineering
Tagline:
Enjoy life in SG
Yu Li
Education:
Hofstra University - M.B.A. in Finance, New York Institute of Technology - M.S. in Computer Sciense, Tsinghua University - B.S. in Electrical Engineering