Life Line Medical AssociatesWomans Care Source 111 Madison Ave STE 308, Morristown, NJ 07960 (973)2850400 (phone), (973)3354638 (fax)
Life Line Medical AssociatesWomens Care Source 16 Pocono Rd STE 309, Denville, NJ 07834 (973)9837695 (phone), (973)3354638 (fax)
Life Line Medical AssociatesLifeline Medical 1 Robertson Dr STE 25, Bedminster, NJ 07921 (908)5320788 (phone), (908)5320787 (fax)
Education:
Medical School UMDNJ School of Osteopathic Medicine Graduated: 1987
Procedures:
D & C Dilation and Curettage Cesarean Section (C-Section) Colposcopy Delivery After Previous Caesarean Section Hysterectomy Myomectomy Oophorectomy Tubal Surgery Vaccine Administration Vaginal Delivery Vaginal Repair
Conditions:
Abnormal Vaginal Bleeding Breast Disorders Complicating Pregnancy or Childbirth Conditions of Pregnancy and Delivery Diabetes Mellitus Complicating Pregnancy or Birth
Languages:
English Spanish
Description:
Dr. Ferrante graduated from the UMDNJ School of Osteopathic Medicine in 1987. He works in Morristown, NJ and 2 other locations and specializes in Obstetrics & Gynecology. Dr. Ferrante is affiliated with Morristown Medical Center, Robert Wood Johnson University Hospital Somerset and Saint Clares Hospital Denville.
Name / Title
Company / Classification
Phones & Addresses
Daniel A. Ferrante
DANMAR ENTERPRISES, LLC
Daniel Vincent Ferrante President
CARMENTA VIRTUAL PRESS, INC Misc Publishing
PO Box 6691, Santa Clara, CA 95056 25 Metro Dr, San Jose, CA 95110
Sajjit Thampy - Sunnyvale CA, US Daniel Ferrante - Redwood City CA, US Amr Awadallah - Palo Alto CA, US
Assignee:
Yahoo!, Inc. - Sunnyvale CA
International Classification:
G06F 17/18
US Classification:
702179
Abstract:
The subject matter disclosed herein relates to simulation of bucket testing. In a particular implementation, cohort of users associated with a value for an engagement metric may be selected based at least in part on an intersection of first and second probability distributions. Behavior of the first and second groups may be compared based at least in part on the selected cohort of users.
Amr Awadallah - Palo Alto CA, US Sajjit Thampy - Sunnyvale CA, US Daniel Ferrante - Redwood City CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 15/173
US Classification:
709224
Abstract:
Apparatuses, methods, and systems directed to detect Internet bots in communication networks. Some embodiments of the present invention allow an agent of a server to periodically record interaction events on a client system. The recorded interaction events are sent to a server and validated by a statistical test. Some embodiments of the present invention may be used to detect bots using server logs. In other embodiments, an agent of a server is able to detect and validate interaction events on a client system and the server periodically polls the agent to determine whether bots are detected on the client system.
Identifying And Validating Factors That Have Particular Effects On User Behavior
Sajjit Thampy - Sunnyvale CA, US Daniel Ferrante - Redwood City CA, US Amr Awadallah - Palo Alto CA, US
Assignee:
YAHOO! INC. - Sunnyvale CA
International Classification:
G06Q 99/00
US Classification:
705 1
Abstract:
Techniques are described herein for an automatic discovery and validation analyzer that identifies factors that have a particular effect on members of a population in engaging in certain activities. A baseline set and a divergent set of members of the population are identified based on whether a member has experienced a significant change in magnitude of the particular effect during a particular period of time. Differences in behaviors of members of the baseline and divergent sets are then analyzed to identify a candidate factor that corresponds to exposure to an item. Such a candidate factor is then validated as to whether it is a cause of said significant change in magnitude of the particular effect experienced by the divergent set of members.
Sajjit Thampy - Sunnyvale CA, US Daniel Ferrante - Redwood City CA, US Amr Awadallah - Palo Alto CA, US
International Classification:
G06F 17/00
US Classification:
715234
Abstract:
Disclosed herein is a statistical approach, a win share approach, used to assign a win share value to content items. User interaction with content items is tracked, and a win share value is assigned to content items in response to a “winning” action performed by a user. Win shares associated with content items are used to identify content items that are to be presented, and can further be used to identify an optimal presentation, e.g., layout, presentation frequency, etc., of content items that is to be presented.
Computerized System And Method For Analyzing User Interactions With Digital Content And Providing An Optimized Content Presentation Of Such Digital Content
- Sunnyvale CA, US Daniel FERRANTE - Redwood City CA, US Amr AWADALLAH - Palo Alto CA, US
International Classification:
G06F 9/44 G06F 17/30 G06F 17/21
Abstract:
Disclosed herein is a statistical approach, a win share approach, used to assign a win share value to content items. User interaction with content items is tracked, and a win share value is assigned to content items in response to a “winning” action performed by a user. Win shares associated with content items are used to identify content items that are to be presented, and can further be used to identify an optimal presentation, e.g., layout, presentation frequency, etc., of content items that is to be presented.
Methods And Systems For Determining Use And Content Of Pymk Based On Value Model
- Menlo Park CA, US Brian Piepgrass - Mountain View CA, US Ching-Chih Weng - Fremont CA, US Daniel Ferrante - Palo Alto CA, US Deeptanshu Verma - Sunnyvale CA, US Peter Martinazzi - San Francisco CA, US Thomas Alison - Palo Alto CA, US Ziqing Mao - Mountain View CA, US
Assignee:
Facebook, Inc. - Menlo Park CA
International Classification:
H04L 29/08 G06Q 50/00
US Classification:
705 1473, 709204
Abstract:
Techniques introduced here include a system and method for determining whether to provide a user of a social networking system with candidate users (i.e., potential contacts) with whom the user does not already have any connections with. In some embodiments, the system generates a set of candidate users based on a value (e.g., to the social networking system) associated with each potential connection formed between the user and the set of candidate users. In one or more embodiments, the system ranks the candidate users based on their connection-value to the social networking system and provides the ranked candidate users as suggested new connections to the user.
Lang-8 Inc.
Instructor and Technical Consultant
International Pacific University
Teacher English Foreign Language and Technical Advisor
Jet Programme Canada Aug 2013 - Mar 2016
Assistant Language Teacher and Technology Coordinator
Filemaker Inc., An Apple Subsidiary Apr 2004 - Aug 2013
Desktop Support
San Jose State University 2011 - 2013
English Lecturer
Education:
Colorado State University 2014 - 2016
Bachelors, Bachelor of Science
San Jose State University 2006 - 2011
Masters, Master of Arts
San Jose State University 1995 - 2004
Bachelors, Bachelor of Arts, English Language and Literature, Literature, English Language
International Pacific University
De Anza College
Skills:
Os X Technical Support Operating Systems User Experience Teaching Hardware Microsoft Office Windows Ios Software Troubleshooting Language Teaching Windows Server Technical Instruction Desktop Application Support Help Desk Support Windows 7 Windows 8 Ram Iwork Parallels Virtualbox Skype Meetingmaker Retrospect Dropbox Onedrive Google Drive Crashplan Pro Java Python Management Public Speaking Troubleshooting
Interests:
Collecting Antiques Electronics Science and Technology The Arts Collecting
5 days ago Daniel Ferrante - Research Faculty (Theoretical Physics) - Brown University - Providence, RI, USA - http://about.me/danieldf/ A well-known ...