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Xiao Yang Phones & Addresses

  • 70 Saratoga Dr, Jericho, NY 11753
  • Wentzville, MO
  • Independence, OH
  • O Fallon, MO
  • Brooklyn, NY
  • Saint Charles, MO

Professional Records

License Records

Xiao Aidong Yang Lily

License #:
467350
Category:
Registered Professional Nurse
Issued Date:
Oct 21, 1994
Type:
REGISTERED PROFESSIONAL NURSING

Medicine Doctors

Xiao Yang Photo 1

Xiao Y. Yang

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Specialties:
Anatomic Pathology & Clinical Pathology
Work:
Hackensack Pathology Associates
30 Prospect Ave, Hackensack, NJ 07601
(551) 996-4816 (phone), (551) 996-2156 (fax)
Education:
Medical School
Xian Med Univ, Xian City, Shaanxi, China
Graduated: 1983
Languages:
English
Description:
Dr. Yang graduated from the Xian Med Univ, Xian City, Shaanxi, China in 1983. She works in Hackensack, NJ and specializes in Anatomic Pathology & Clinical Pathology. Dr. Yang is affiliated with Hackensack University Medical Center.
Xiao Yang Photo 2

Xiao Yang

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Xiao Yang Photo 3

Xiao Sean Yang

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Specialties:
Internal Medicine
Hospitalist
Education:
West China University Of Medical Sciences (1988)

Lawyers & Attorneys

Xiao Yang Photo 4

Xiao Yang - Lawyer

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ISLN:
924298560
Admitted:
1993
Xiao Yang Photo 5

Xiao Si Yang - Lawyer

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Address:
Johnson Electric Group
(975) 389-91xx (Office)
Licenses:
New York - Due to reregister within 30 days of birthday 1993
Education:
University of Virginia School of Law
Xiao Yang Photo 6

Xiao Yang - Lawyer

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ISLN:
1000724722
Admitted:
2014

Resumes

Resumes

Xiao Yang Photo 7

Xiao Yang

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Location:
United States
Xiao Yang Photo 8

Xiao Yang

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Xiao Yang Photo 9

Xiao Yang

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Xiao Yang Photo 10

Xiao Yang

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Xiao Yang Photo 11

Xiao Yang

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Xiao Yang Photo 12

Xiao Yang

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Xiao Yang Photo 13

Xiao Yang

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Xiao Yang Photo 14

Xiao Yang New York, NY

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Work:
T3 Trading Group, LLC
New York, NY
2013 to 2014
Equity Portfolio Analyst/Trader

Mitsubishi Corporation Asset Management Holdings, LLC
Stamford, CT
2013 to 2013
Quantitative Portfolio Analyst Intern

Chengdu JinKong Capital
Chengdu, CN
2011 to 2011
Chengdu, China Credit Risk Analyst

Education:
FORDHAM UNIVERSITY, GRADUATE SCHOOL OF BUSINESS
New York, NY
2012 to 2013
Master of Science in Quantitative Finance

ST. OLAF COLLEGE
Northfield, MN
2008 to 2012
Bachelor of Arts in Double

Business Records

Name / Title
Company / Classification
Phones & Addresses
Xiao Yang
S & L Fast Food Ltd
Restaurants
2139 4500 Kingsway, Burnaby, BC V5H 2A9
(604) 438-2587
Xiao Yang
S & L Fast Food Ltd
Restaurants
(604) 438-2587
Xiao Min Yang
MG WHOLESALE DISTRIBUTION INC
Whol Service Establishment Equipment Whol Commercial Equipment
530 Gardner Ave, Brooklyn, NY 11206
24 Dogleg Ln, Roslyn Heights, NY 11577
Xiao Zhi Yang
LEON NAIL SALON INC
Beauty Shop · Nail Salons
939 Little East Nck Rd, West Babylon, NY 11704
968 Little East Nck Rd, West Babylon, NY 11704
(631) 482-9291, (631) 422-1332
Xiao Yang
YOUNG & Q FASHION, INC
Ret Women's Clothing
56-20 Myrtle Ave, Ridgewood, NY 11385
5620 Myrtle Ave, Flushing, NY 11385
Xiao Hong Yang
AMERICAN ASSOCIATION OF CHINESE INDUSTRY AND COMMERCE

Publications

Wikipedia

Xiao Yang

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Xiao Yang may refer to: Xiao Yang (judge), former President of the Supreme Court of China; Xiao Yang (governor), Chinese politician, former Governor of...

ISBN #

2

Xiao Yang (judge)

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Xiao Yang (simplified Chinese: ; traditional Chinese: ; pinyin: Xio Yng; Jyutping: Chiu3 Yeung4; born August 1938 in Heyuan, Guangdong) was the...

ISBN #

1

Amazon

Chinese Publishing (Cultural China Series)(French Edition)

Chinese Publishing (Cultural China Series)(French Edition)

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The time-honored Chinese civilization has nurtured the distinctive Chinese publishing industry. To some extent, its formulation and development mimics that of Chinese civilization. Chinese civilization is unique in the world in its continuity. As a significant activity of knowledge accumulation and ...

Author

Yang Xiao, Hu Yang

Binding

Kindle Edition

Pages

234

Publisher

China Intercontinental Press

ISBN #

9

Wireless Network Security (Signals And Communication Technology)

Wireless Network Security (Signals and Communication Technology)

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This book identifies vulnerabilities in the physical layer, the MAC layer, the IP layer, the transport layer, and the application layer, of wireless networks, and discusses ways to strengthen security mechanisms and services. Topics covered include intrusion detection, secure PHY/MAC/routing protoco...

Binding

Paperback

Pages

424

Publisher

Springer

ISBN #

1441939199

EAN Code

9781441939197

ISBN #

7

Mobile Telemedicine: A Computing And Networking Perspective

Mobile Telemedicine: A Computing and Networking Perspective

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The concept of medical treatment from a distance (in absentia care) is actually quite ancient, dating back to tribal days where smoke signals were used to warn of serious disease in a community. Nowadays, telemedicine is used to facilitate treatment in rural areas, where the nearest doctor is miles ...

Binding

Hardcover

Pages

440

Publisher

Auerbach Publications

ISBN #

1420060465

EAN Code

9781420060461

ISBN #

5

Cognitive Radio Networks

Cognitive Radio Networks

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Fueled by ongoing and increasing consumer demand, the explosive growth in spectrum-based communications continues to tax the finite resources of the available spectrum. One possible solution, Cognitive Radio Network (CRN), allows unlicensed users opportunistic access to licensed bands without interf...

Binding

Hardcover

Pages

478

Publisher

Auerbach Publications

ISBN #

1420064207

EAN Code

9781420064209

ISBN #

4

Communication And Networking In Smart Grids

Communication and Networking in Smart Grids

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Appropriate for researchers, practitioners, and students alike, Communication and Networking in Smart Grids presents state-of-the-art approaches and novel technologies for communication networks in smart grids. It explains how contemporary grid networks are developed and deployed and presents a coll...

Author

Yang Xiao

Binding

Hardcover

Pages

325

Publisher

CRC Press

ISBN #

1439878730

EAN Code

9781439878736

ISBN #

3

Security And Privacy In Smart Grids

Security and Privacy in Smart Grids

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Presenting the work of prominent researchers working on smart grids and related fields around the world, Security and Privacy in Smart Grids identifies state-of-the-art approaches and novel technologies for smart grid communication and security. It investigates the fundamental aspects and applicatio...

Binding

Hardcover

Pages

353

Publisher

CRC Press

ISBN #

1439877831

EAN Code

9781439877838

ISBN #

2

Moral Relativism And Chinese Philosophy: David Wong And His Critics (Suny Series In Chinese Philosophy And Culture)

Moral Relativism and Chinese Philosophy: David Wong and His Critics (SUNY series in Chinese Philosophy and Culture)

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A wide-ranging consideration of the work of contemporary ethicist David Wong.Original, influential, and often controversial, ethicist David Wong defends forms of moral relativism. His 1984 Moral Relativity was a study of this concept, and his 2006 Natural Moralities presented a new and sophistica...

Binding

Paperback

Pages

294

Publisher

State University of New York Press

ISBN #

143845094X

EAN Code

9781438450940

ISBN #

1

Pan Jinlian-A Kunqu Opera (The Project For Disseminating Chinese Operatic Dramas Overseas By Renmin University Of China)

Pan Jinlian-A Kunqu Opera (The Project for Disseminating Chinese Operatic Dramas Overseas by Renmin University of China)

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Pan Jinlian—A Kunqu Opera is one of the most outstanding achievements born by the Project for Disseminating Chinese Operatic Dramas Overseas.《昆曲:潘金莲》介绍了故事产生的社会、历史、文化背景,并对其不同时期的不同故事版本,进行了简要的介绍和分析。同时,书中还讲解了与“昆曲”有关的戏曲知识,带领读者较为全面地领略昆曲这一曲艺形式的艺术魅力。此外,书中还呈现了《昆曲潘金莲》剧本的英文翻译,是戏曲爱好者不可多得的一本普及型读物。

Author

Yang Xiao-ming

Binding

Kindle Edition

Pages

267

Publisher

Foreign Language Teaching and Research Press

ISBN #

10

Isbn (Books And Publications)

Zhong Ri Jin Dai Jiao Yu Guan Xi Shi: Zhongri Jindai Jiaoyuguanxishi

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Author

Xiao Yang

ISBN #

7107183567

Us Patents

Generating Pet Image Training Data Based On Source Images

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US Patent:
20220211008, Jul 7, 2022
Filed:
Dec 21, 2021
Appl. No.:
17/557212
Inventors:
- Vevey, CH
Brian Michael ZANGHI - Ballwin MO, US
Kyu S Cho - Ballwin MO, US
Xiao Yang - Chesterfield MO, US
Tonya Sue Ehlmann - St Peters MO, US
James Clesie Moore - St. Louis MO, US
International Classification:
A01K 29/00
G06V 40/10
G06V 10/82
G06T 7/73
Abstract:
A method can include receiving a first image depicting a first dog and identifying, with a first model, a first breed for the first dog based on the first image. The method may further include determining, with a second model, a first body condition for the first dog based on the first image; generating, with a third model, a second image depicting the first dog with a second body condition different from the first body condition. The method may also include labeling the first image with indications of the breed and the first body condition, labeling the second image with indications of the breed and the second body condition, and training the second model using the first and second images.

Using Machine Learning-Based Seed Harvest Moisture Predictions To Improve A Computer-Assisted Agricultural Farm Operation

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US Patent:
20210342719, Nov 4, 2021
Filed:
May 6, 2021
Appl. No.:
17/313504
Inventors:
- San Francisco CA, US
Matthew Sorge - Lake St. Louis MO, US
Nikisha Shah - San Francisco CA, US
Timothy Reich - Maryland Heights MO, US
Herbert Ssegane - Maryland Heights MO, US
Jason Kendrick Bull - Wildwood MO, US
Tonya S. Ehlmann - St. Peters MO, US
Morrison Jacobs - St. Charles MO, US
Susan Andrea Macisaac - Jersey City NJ, US
Bruce J. Schnicker - Kihei HI, US
Yao Xie - San Francisco CA, US
Allan Trapp - St. Louis MO, US
Xiao Yang - Chesterfield MO, US
International Classification:
G06N 5/04
A01B 79/00
G06N 20/00
Abstract:
Embodiments generate digital plans for agricultural fields. In an embodiment, a model receives digital inputs including stress risk data, product maturity data, field location data, planting date data, and/or harvest date data. The model mathematically correlates sets of digital inputs with threshold data associated with the stress risk data. The model is used to generate stress risk prediction data for a set of product maturity and field location combinations. In a digital plan, product maturity data or planting date data or harvest date data or field location data can be adjusted based on the stress risk prediction data. A digital plan can be transmitted to a field manager computing device. An agricultural apparatus can be moved in response to a digital plan.

Systems And Methods For Providing Germplasm Crop Scenarios

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US Patent:
20210318283, Oct 14, 2021
Filed:
Apr 10, 2020
Appl. No.:
16/845951
Inventors:
- St. Louis MO, US
Xiao Yang - Chesterfield MO, US
Tonya Sue Ehlmann - St. Peters MO, US
Kyu S. Cho - Ballwin MO, US
International Classification:
G01N 33/00
G06N 20/00
G06N 3/08
G01W 1/10
G01N 33/24
Abstract:
Systems and methods are disclosed herein for providing germplasm crop scenarios. The system may calculate a relative maturity (RM) for a germplasm for an area of a location. The system may use weather information associated with a selected area to calculate the relative maturity. The system may then calculate a predictive yield for the germplasm for the area based on the respective relative maturity for the germplasm. The system may then generate the germplasm information for the germplasm indicative of a respective performance for the area of the location based on the respective predictive yield. For example, a plurality of crop scenarios may be generated by date for acorn hybrid seed that provides a more accurate yield calculation based on what date the crop is planted.

Leveraging Feature Engineering To Boost Placement Predictability For Seed Product Selection And Recommendation By Field

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US Patent:
20200327603, Oct 15, 2020
Filed:
Apr 9, 2020
Appl. No.:
16/845052
Inventors:
- San Francisco CA, US
Herbert Ssegane - Maryland Heights MO, US
Shilpa Sood - Chesterfield MO, US
Xiao Yang - Chesterfield MO, US
Xuefei Wang - Creve Coeur MO, US
International Classification:
G06Q 30/06
G06F 16/2458
G06Q 50/02
G06N 7/00
G06N 20/00
G16B 20/00
Abstract:
An example computer-implemented method includes receiving a plurality of agricultural data records including yield properties of products grown in fields and raw field features of the fields. The method also includes transforming the raw field features into distinct feature classes that characterize key features affecting yield of the one or more products, and generating, using data from the plurality of agricultural data records and the distinct feature classes, genomic-by-environmental relationships between one or more products, yield properties of the one or more products, and field features associated with the one or more products. Further, the method includes generating, based at least in part on the genomic-by-environmental relationships, predicted yield performance for a set of products associated with one or more target environments, generating product recommendations for the one or more target environments based on the predicted yield performance for the set of products, and providing one or more instructions configured to cause display of the product recommendations.

Automatically Assigning Hybrids Or Seeds To Fields For Planting

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US Patent:
20200005166, Jan 2, 2020
Filed:
Jul 23, 2018
Appl. No.:
16/042015
Inventors:
- San Francisco CA, US
XIAO YANG - CHESTERFIELD MO, US
TONYA EHLMANN - SAN FRANCISCO CA, US
JASON BULL - ST. LOUIS MO, US
YAO XIE - ST. LOUIS MO, US
NIKISHA SHAH - BALLWIN MO, US
MATTHEW SORGE - LAKE ST. LOUIS MO, US
International Classification:
G06N 5/04
G06N 99/00
G06Q 20/20
A01B 79/00
Abstract:
Techniques are provided for automatically assigning hybrid products or seed products to agricultural fields with optimal yield performance. In one embodiment, a computer-implemented method comprises using field assignment instructions in the server computer system, receiving, over a digital data communication network at a server computer system, grower datasets specifying agricultural fields of growers and inventories of hybrid products or seed products of the growers; using the field assignment instructions in the server computer system, obtaining over the digital data communication network at the server computer system, other input data comprising relative maturity values, historic yield values for the fields of the growers, and mean yield values for regions in which the fields of the growers are located; using the field assignment instructions in the server computer system, calculating pair datasets consisting of permutations of product assignments of two (2) products to two (2) fields from among the fields of the growers, and corresponding converse assignments of the same products and fields; inputting specified features of the pair dataset(s) to a trained machine learning model, to yield predicted POS values for each of the product assignments and its corresponding converse assignment; blending the predicted POS values for all fields with field classification data using an operations research model of other field data, to result in creating and storing score values for each of the product assignments and the corresponding converse assignments; using the field assignment instructions in the server computer system, generating and causing displaying at least the product assignments in a graphical user interface display of a client computing device.
Xiao Lan Yang from Jericho, NY, age ~49 Get Report