Dr. Lerner graduated from the Northwestern University Feinberg School of Medicine in 1976. He works in Northfield, IL and specializes in Internal Medicine. Dr. Lerner is affiliated with Highland Park Hospital, Northshore University Health System Evanston Hospital and Northshore University HealthSystem.
David S Lerner MD 1815 Francis Lewis Blvd, Whitestone, NY 11357 (718)7465100 (phone), (718)7465778 (fax)
Education:
Medical School Cornell University Weill Medical College Graduated: 1970
Procedures:
Lens and Cataract Procedures Ophthalmological Exam
Conditions:
Cataract Glaucoma Keratitis
Languages:
English
Description:
Dr. Lerner graduated from the Cornell University Weill Medical College in 1970. He works in Whitestone, NY and specializes in Ophthalmology. Dr. Lerner is affiliated with Northwell Health Long Island Jewish Medical Center.
Camellia Womens Health 621 Capitol Mall STE 950, Sacramento, CA 95814 (916)4860411 (phone), (916)4860946 (fax)
Languages:
English Russian Spanish
Description:
Dr. Lerner works in Sacramento, CA and specializes in Obstetrics & Gynecology. Dr. Lerner is affiliated with Mercy San Juan Medical Center and Sutter Medical Center Sacramento.
Embodiments seek to improve web page loading time using server-machine-driven hint generation for based on client-machine-driven feedback. For example, client computers having page renderers are in communication with content servers and hinting processors. The hinting processors can use hinting feedback from multiple page rendering instances to automatically generate hints for optimizing loading and/or rendering of those pages. In some implementations, in response to page requests from the page renderers, content servers can request hints from hinting processors and send those hints to the requesting page renderers for use in improving the page loading experience. In other implementations, in response to page requests from the page renderers, content servers can instruct the requesting page renderers to contact an appropriate hinting processor and to retrieve appropriate hints therefrom for use in improving the page loading experience.
Server-Machine-Driven Hint Generation For Improved Web Page Loading Using Client-Machine-Driven Feedback
Embodiments seek to improve web page loading time using server-machine-driven hint generation for based on client-machine-driven feedback. For example, client computers having page renderers are in communication with content servers and hinting processors. The hinting processors can use hinting feedback from multiple page rendering instances to automatically generate hints for optimizing loading and/or rendering of those pages. In some implementations, in response to page requests from the page renderers, content servers can request hints from hinting processors and send those hints to the requesting page renderers for use in improving the page loading experience. In other implementations, in response to page requests from the page renderers, content servers can instruct the requesting page renderers to contact an appropriate hinting processor and to retrieve appropriate hints therefrom for use in improving the page loading experience.
Hint Model Updating Using Automated Browsing Clusters
- Carlsbad CA, US David Lerner - Newton MA, US Eric E. Prouty - Roxbury MA, US
Assignee:
Viasat, Inc. - Carlsbad CA
International Classification:
G06F 16/957 G06F 16/23 G06F 16/954 G06F 16/955
Abstract:
Embodiments seek to improve prefetch hinting by using automated browsing clusters to generate and update hinting models used for machine-generated hints. For example, hinting machines can include browsing clusters that autonomously fetch web pages in response to update triggers (e.g., client web page requests, scheduled web crawling, etc.) and generate timing and/or other hinting-related feedback relating to which resources were used to load the fetched web pages. The hinting machines can use the hinting feedback to generate and/or update hinting models, which can be used for machine-generation of hints. Some embodiments can provide preliminary hinting functionality in response to client hinting requests, for example, when hinting models for a requested page are insufficient (e.g., unavailable, outdated, etc.). For example, without having a sufficient hinting model in place, the hinting machine can fetch the page to generate preliminary hinting feedback, which it can use to machine-generate preliminary hints.
Hint Model Updating Using Automated Browsing Clusters
- CARLSBAD CA, US DAVID F. LERNER - NEWTON MA, US ERIC E. PROUTY - ROXBURY MA, US
Assignee:
VIASAT, INC. - CARLSBAD CA
International Classification:
G06F 17/30
Abstract:
Embodiments seek to improve prefetch hinting by using automated browsing clusters to generate and update hinting models used for machine-generated hints. For example, hinting machines can include browsing clusters that autonomously fetch web pages in response to update triggers (e.g., client web page requests, scheduled web crawling, etc.) and generate timing and/or other hinting-related feedback relating to which resources were used to load the fetched web pages. The hinting machines can use the hinting feedback to generate and/or update hinting models, which can be used for machine-generation of hints. Some embodiments can provide preliminary hinting functionality in response to client hinting requests, for example, when hinting models for a requested page are insufficient (e.g., unavailable, outdated, etc.). For example, without having a sufficient hinting model in place, the hinting machine can fetch the page to generate preliminary hinting feedback, which it can use to machine-generate preliminary hints.
Server-Machine-Driven Hint Generation For Improved Web Page Loading Using Client-Machine-Driven Feedback
Embodiments seek to improve web page loading time using server-machine-driven hint generation for based on client-machine-driven feedback. For example, client computers having page renderers are in communication with content servers and hinting processors. The hinting processors can use hinting feedback from multiple page rendering instances to automatically generate hints for optimizing loading and/or rendering of those pages. In some implementations, in response to page requests from the page renderers, content servers can request hints from hinting processors and send those hints to the requesting page renderers for use in improving the page loading experience. In other implementations, in response to page requests from the page renderers, content servers can instruct the requesting page renderers to contact an appropriate hinting processor and to retrieve appropriate hints therefrom for use in improving the page loading experience.
Opportunistically Delayed Offer And Request Fulfillment
- Carlsbad CA, US Daniel M. Newman - Littleton MA, US James Esserman - La Jolla CA, US David Lerner - Newton MA, US Peter Lepeska - Boston MA, US
Assignee:
VIASAT, INC. - Carlsbad CA
International Classification:
H04L 12/24
US Classification:
709223
Abstract:
Systems and methods are described for subscriber-driven resource shifting in an attempt to maximize delivery of requested content to subscribers while minimizing the impact of satisfying those requests to network infrastructure resources. For example, when a media plan subscriber requests access to media content under the media plan, a determination is made that the media can be delivered at an earlier timeframe for a particular cost or at a later timeframe for a lower cost. Accordingly, an offer is presented to the requesting subscriber either to receive the media in the earlier timeframe at a higher cost, or to receive the media at a later timeframe in exchange for a discount (e.g., watch now for $4.99 or in 24 hours for free). Embodiments further handle delayed delivery of the content, notification of the delayed delivery to the subscriber, accounting for the delayed delivery, and/or other related functions.
Youtube
David Lerner - Mein Kampf
Duration:
3m 41s
Why Wait 'Til You Graduate: David Lerner at T...
Dave is the Director of the Venture Lab at Columbia University Tech Ve...
Duration:
8m 7s
David Lerner - senior sermon
Duration:
15m 8s
David Lerner - I'll Be Here
David Lerner performing I'll Be Here at Northlight Books in Cotati, CA.
Duration:
6m 36s
David Lerner Associates - Rule 72
David Lerner Associates- Rule 72.
Duration:
2m
Financial Lifecycle Strategies from David Ler...
David Lerner Associates offers smart financial strategies for every age.
Duration:
1m 52s
News
Glowing tampons can be used to detect sewage pollution
Study co-author David Lerner, a professor ofenvironment engineeringat the University of Sheffield in the United Kingdom said, Tampons are about the only kind of cotton you can get cheaply that have no optical brighteners.
Date: Apr 01, 2015
Category: Sci/Tech
Source: Google
Tampon: A Cheap and Effective Tool That Could Be Used To Detect Highly ...
A team at the University of Sheffield led by David Lerner, who is also a professor of environmental engineering in the same university, has shown that tampon tests can be used to track down which houses sewage is coming from at river locations where a problem has been identified. Lerner said: Sew
Date: Apr 01, 2015
Source: Google
Researchers Use Glow-In-The-Dark Tampons To Track Sewage Pollution
David Lerner, professor of environmental engineering at the University of Sheffield, and the lead author of the study, said, The main difficulty with detecting sewage pollution by searching for optical brighteners is finding cotton that does not already contain these chemicals. Thats why tampons,
Date: Apr 01, 2015
Source: Google
Scientists Detect Sewage Pollution With Glow-in-the-Dark Tampons
Professor David Lerner who led the research explained that over a million homes in Britain have their wastewater network connected incorrectly. Most wastewater travel to the surface water network, and ultimately gets discharged into a river instead of going to a treatment plan. It is very difficult According to NBC News, in the published paper, environmental engineers Dave Chandler and David Lerner reported that the technique really works. Lerner said that while fluorimeters can detect organic brighteners, they are costly. Environmental watchdogs have discovered tampons as a new tool to fight
Date: Mar 31, 2015
Category: Sci/Tech
Source: Google
Fluorescent tampons help researchers locate river pollution
"The main difficulty with detecting sewage pollution by searching for optical brighteners is finding cotton that does not already contain these chemicals," lead study author David Lerner, a professor of engineering at Sheffield, said in a press release. "That's why tampons, being explicitly untreate
Date: Mar 31, 2015
Category: Sci/Tech
Source: Google
Scientists suggest using 'glow-in-the-dark tampons' to test rivers for sewage leaks
"Sewage in rivers is very unpleasant, very widespread, and very difficult to track down," David Lerner, a University of Sheffield professor who led the study, told The Guardian. "Our new method may be unconventional, but its cheap and it works."
Date: Mar 31, 2015
Category: Sci/Tech
Source: Google
Scientists Use Glow-in-the-Dark Tampons to Flush Out Water Pollution
Wedidnt look for anything else because cotton wool is perfect, especially with astring attached and individually packed, lead author David Lerner, Ph.D., toldHealthline. [Tampons are] very cheap too, using a generic make.
Date: Mar 31, 2015
Source: Google
Researchers say glowing tampons can detect river sewage pollution
Co-author of the study and professor of environmental engineering at the University of Sheffield in the United Kingdom, David Lerner, said that it does the detective work, according to an interview with Wired.
Date: Mar 31, 2015
Source: Google
Googleplus
David Lerner
Lived:
Casalanguida, abruzzo, italy Philadelphia, pa Boston, ma New york, ny Washington, dc London, england Paris, france Rome, italy Detroit, mi
Work:
Tourmalet Advisors (2009) Audax Group Private Equity (2008-2009)
About:
I'm not the scummy David Lerner who FINRA is after; that jerk is ruining my good name. Â Depending on who's asking I might be the designer David Lerner...
David Lerner
Lived:
Austin, TX Yonkers, NY San Fancisco, CA Boston, MA Marina del Rey, CA
Work:
IPowow - Internet Product Development Mediaplex
Education:
M.I.T.
David Lerner
Lived:
Lexington, MA
Work:
Temple Emunah - Rabbi
Education:
Columbia College, Pardes Institute of Jerusalem - Talmud, Jewish Theological Seminary of America - Rabbinics
Tagline:
Pulpit rabbi, passionate about Israel, Judaism and Jews!
David Lerner
Education:
University of Miami - MBA, Bentley College - B.S. - Business Management
David Lerner
Work:
Bridgeway Community Church - Financial Controller (2008)
Tagline:
Follower of Christ. Lover of Nikki. Listener of music. Player of drums.
David Lerner
Education:
Lincoln Way East
David Lerner
Work:
Breakthrough Collaborative - Teacher
Education:
Dartmouth College
David Lerner
About:
I'm a 3x Entrepreneur, Angel Investor, entrepreneurship professor @ Columbia Business School and am the host of Venture Studio in association with Mashable where I engage with entrepreneurs, inves...