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February 10, 2013, 10:00 AM
Top Prospect
Join Date: Feb 2011
Location: Courtice
Posts: 126
Gigabyte F2A85X-UP4 Motherboard Review
Gigabyte F2A85X-UP4
Welcome to another Gigabyte motherboard review. Today we have Gigabytes F2A85X-UP4 for the new AMD Socket FM2.
FM2 replaces the short lived FM1 socket from AMD. The new FM2 processors are now based on AMD's Trinity cores. This is a variant of the Piledriver architecture which includes a powerful on board GPU and is aimed primarily as a solid, well rounded home use PC. It isn't really aimed at the hard core user, but follows AMD's current strategy of better balancing the CPU and GPU combination. As such, this platform is fully capable of destroying Intel's integrated graphics on any of their current platforms. The CPU side of the equation is still fully Intel's if comparing core count. But if you are comparing on a price basis things start to look pretty good with this new FM2 platform.
The Board
Gigabyte has made a real effort to offer a broad range of motherboards to fit any budget on any platform.
That tradition continues with their FM2 offerings and the F2A85X-UP4 is their highest specified offering on this platform.
The UP4 even offers the new Ultra Durable 5 label which provides exceptional power efficiency through the use of the IR3550 PowIRstage? power circuitry. This is a standout in the price category and the F2A85X-UP5 is a very cool running motherboard because of this. It also consumes less power than comparable boards due to this high efficiency power circuitry.
You can read more about Ultra Durable 5 Technology and benefits here:
GIGABYTE Ultra Durable? 5 Motherboards
Many enthusiasts might consider the FM2 platform as low end or budget oriented, but for the vast majority of users out there, FM2 offers a well balanced set of features and is able to fill a number of roles. Everything from gaming to HTPC duty, as well as just a solid base for an office machine. The UP4, however, is far from budget oriented and offers a solid list of features that any user can appreciate.
Gigabyte has once again used a tasteful black PCB, they reserve this color for their high performance boards and the F2A85X-UP4 qualifies for this platform. They have paired that with gunmetal grey heatsinks on the power phases and A85X chip. They have added a grey to one of the memory channels as well and I think it all works well together.
It is a good looking board that could be displayed in a windowed case without looking out of place.
Expansion slots are arranged as follows:
1 x PCI Express x16 slot, running at x16 (PCIEX16)
* For optimum performance, if only one PCI Express graphics card is to be installed, be sure to install it in the PCIEX16 slot.
1 x PCI Express x16 slot, running at x8 (PCIEX8)
* The PCIEX8 slot shares bandwidth with the PCIEX16 slot. When the PCIEX8 slot is populated, the PCIEX16 slot will operate at up to x8 mode.
1 x PCI Express x16 slot, running at x4 (PCIEX4)
* The PCIEX1_3 slot shares bandwidth with the PCIEX4 slot. When the PCIEX1_3 slot is populated, the PCIEX4 slot will operate at up to x1 mode.
3 x PCI Express x1 slots
(All PCI Express slots conform to PCI Express 2.0 standard.)
1 x PCI slot
There is ample space between the two primary PCIE16x slots for cooling and two of the three PCIE 1X slots can be populated even if you are running Crossfire, provided you are using only double slot cards.
The socket area is fairly open and will allow for large CPU heatsinks to be used, as always, the RAM slots can be a bit close so ensure your memory sticks and heatsink will play nice together if you are planning to fill all the available ram slots. AMD has been nice enough to retain the same heatsink mounts as AM3/AM3+ and this hasn?t changed since .........I can?t even remember! This makes using your current heatsink a simple thing in most cases.
To the left of the CPU socket is the small heatsink for cooling the power circuitry. As you can see, it is fairly small, but even so it provides more than adequate cooling due to that very efficient and cool running IR3550 PowIRstage? power circuitry.
To the right of the socket are the 4 RAM slots each capable of holding a 16Gb stick! So the board can support up to 64Gb of RAM! So this is quite good for what would be considered a very mainstream platform.
If we look a bit beyond memory slots we find a welcome addition of Power, Reset and Clear CMOS buttons in the upper right corner.
Just below the traditional ATX24 connector we also find a USB 3.0 front panel connector.
Continue down that right side of the board and we have 6 SATA3 connectors turned at 90 degrees. All ports are SATA 3 capable.
Below the SATA3 slots is something not often found on a motherboard at this price level, a diagnostic LED panel. This is extremely helpful in narrowing down possible issues like incompatible memory. Or as an overclocking tool, as it can point you in the right direction when a no boot situation occurs due to overclocking too far.
Wait a minute... what's this under the LED? Another SATA3 port?
Yes it is. The A85X chip supports up to 8 SATA3 ports in total. There is an additional ESATA port on the back panel.
This is also extremely good for a mainstream platform, Even Intel's higher end offerings still only offer 6 native SATA ports of which only 2 are SATA3.
Following along the bottom of the board are the standard front panel connector, 4 additional USB2.0 front panel connectors, a trusted platform connector, com port connector and a front panel audio connector.
Back Panel
This board continues with its impressive list of features with a fully decked out rear panel. There is a standard PS/2 combo port, along side 2 USB3 ports. Then we have D-SUB and DVI ports, HDMI and Displayport, an ESATA port with two USB2 ports, two more USB3, an RJ45 jack for LAN and the traditional analogue 6 port mini jack block.
This board really does have all the bells and whistles. Quite impressive at the low price point that FM2 is squarely aimed.
Gigabyte have now gone UEFI on the AMD side and the layout follows Gigabyte's current 3D BIOS template with everything logically separated into relevant groups.
This also allows users a choice between a 3D image of the board to work with (Basic), or a more traditional feeling menu based system (Advanced). Everything is easily accessed with a mouse or keyboard.
Test Setup:
Gigabyte F2A85X-UP4
Integrated HD7660D and XFX HD 7870
Gskill Ares DDR32133 (2x8Gb)
Crucial M4 128Gb SSD
B]Optical Drive:
Power Supply:
XSPC RASA RS240 Water cooling
The unlocked multiplier on the A10-5800K made overclocking a straight forward affair.
Increase the multiplier until unstable, bump voltage until stable, repeat. Not too difficult. Highest validation for me was 4891Mhz @ 1.65V. I wouldn't use that voltage for 24/7, but my water cooling loop kept everything well within the danger zone. I was hoping to hit 5ghz, but can't complain for a $125 chip.
Memory settings were as easy as choosing an XMP profile. If you find your higher speed memory unstable, just give the NB VID a nudge up and see if that settles it down some.
The APU can also be overclocked quite significantly, stock clock is 800Mhz but I was able to easily reach over 1100mhz with just a slight increase in APU VDD voltage. be careful with these settings if you don't know what your doing.
So lets have a look at platform performance in several benchmarks. I will provide benches listed as STOCK- this means integrated APU, BIOS default settings but with XMP turned on.
Overclocked benchmarks were run between 4.7 and 4.9Ghz, and APU at max stable speed. I will list the given speed for each test.
Finally I ran a few benchmarks both at stock CPU speed and overclocked using an HD7870 GPU.
3Dmark 11
AMD Radeon HD 7660D video card benchmark result - AMD A10-5800K,Gigabyte Technology Co., Ltd. F2A85X-UP4 score: P1646 3DMarks
Max Overclock (4.79Gz CPU/ 1140 APU)
AMD Radeon HD 7660D video card benchmark result - AMD A10-5800K,Gigabyte Technology Co., Ltd. F2A85X-UP4 score: P2169 3DMarks
Max CPU with HD7870:
AMD Radeon HD 7870 video card benchmark result - AMD A10-5800K,Gigabyte Technology Co., Ltd. F2A85X-UP4 score: P6567 3DMarks
3Dmark Vantage
AMD Radeon HD 7660D video card benchmark result - AMD A10-5800K,Gigabyte Technology Co., Ltd. F2A85X-UP4 score: P6221 3DMarks
Max Overclock (4.79Gz CPU/ 1140 APU)
AMD Radeon HD 7660D video card benchmark result - AMD A10-5800K,Gigabyte Technology Co., Ltd. F2A85X-UP4 score: P7607 3DMarks
Max CPU with HD7870
AMD Radeon HD 7870 video card benchmark result - AMD A10-5800K,Gigabyte Technology Co., Ltd. F2A85X-UP4 score: P19299 3DMarks
AMD Radeon HD 7660D video card benchmark result - AMD A10-5800K,Gigabyte Technology Co., Ltd. F2A85X-UP4 score: 9900 3DMarks
Max Overclock (4.69Gz CPU/ 1160 APU)
AMD Radeon HD 7660D video card benchmark result - AMD A10-5800K,Gigabyte Technology Co., Ltd. F2A85X-UP4 score: 11224 3DMarks
Max CPU with HD7870
AMD Radeon HD 7870 video card benchmark result - AMD A10-5800K,Gigabyte Technology Co., Ltd. F2A85X-UP4 score: 21322 3DMarks
WPrime 32M
Stock: 16.646 seconds
Max Stable Overclock (4.9Ghz): 13.666 seconds
WPrime 1024M
Stock: 526.329 seconds
Max Stable Overclock (4.9Ghz): 435.679 seconds
CineBench 11.5 CPU
Stock: 3.33
4.5Ghz: 3.77
Not a super powerful CPU, but remember the price point here. These chips are priced the same as a current Ivy Bridge i3 processor. And will compete toe to toe in most CPU benchmarks and absolutely destroy the i3 in any 3D benchmarks utilizing the IGP.
Add the long feature list of the A85X chipset to the power and efficiency of the Gigabyte F2A85X-UP4 and you have a system that will excel at Home Theatre PC duty, Home Server Duty (8 native SATA 3 ports!), Office Duty or General Family Computing (Youtube?) and not break the bank doing it. And the integrated 7660D APU can even handle playing many less demanding 3D games with acceptable frame rates.
This system will be my current go-to recommendation for those looking to upgrade who are not hard core enthusiasts, but want a full list of features at a good price.
I had a lot of fun with this board, it was a new platform for me to play with and trying to learn the proper best methods for overclocking a specific platform can take a bit of time.
Gigabyte makes this pretty simple with the 3DBIOS there are really just a few settings that need to be tweaked to give you a significant boost in power.
Just messin around....
February 11, 2013, 07:39 AM
Join Date: Oct 2011
Location: Edmonton
Posts: 642
My System Specs
Great review. Did you take these pictures yourself?
February 11, 2013, 08:10 AM
Top Prospect
Join Date: Feb 2011
Location: Courtice
Posts: 126
Yes I take all my own photos.
Thanks for reading!
Just messin around....
February 11, 2013, 09:16 AM
Join Date: Mar 2010
Location: Port Coquitlam,BC
Posts: 546
My System Specs
Great job Kirbster, nice looking board
February 11, 2013, 10:41 AM
Top Prospect
Join Date: Feb 2011
Location: Courtice
Posts: 126
Thanks! Appreciate the feedback.
Just messin around....
February 15, 2013, 12:06 PM
Top Prospect
Join Date: Feb 2011
Location: Courtice
Posts: 126
BTW, the APU is capable of playing even BF3 at low/medium settings @ 1680 x1050 in campaign mode. And Borderlands 2 is pretty smooth even at medium settings. Although this is with the APU frequency @1000Mhz instead of 800.
Not bad
Just messin around....
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Message Board
Lillian de Viera Message Board
Talk about the novels, new and used books that Viera has written!
Author Viera's Book Reviews
A young woman, Helen Hayden, is arrested on charges of kidnapping the baby of a wealthy family. The circumstances of her case are strange: she has flagged down Carter, a police officer, and turned the child over to him. She claims she does not know why the child was with her. She, in fact, claims to have amnesia and does not know her name, wehre she ilves, or any details about herself. The chief of police, Captain Day, believes Helen is behind the...

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text: I had the pleasure last weekend of getting a good part of the way into Pete Brown's latest book, Shakespeare's Pub. As part of his survey of the history of the George Inn, Brown introduces the philosophical problem that is known to students of the classics as Theseus's paradox and to fans of BBC television as the Problem of Trigger's Broom. Simply put, the question in both cases is: if all constituent parts of a thing (be it a wooden ship or a street sweeper's tool) are replaced is it still the same thing? (more…)


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Web-based system and method for archiving and searching participant-based internet text sources for customer lead data
A text mining system for collecting business intelligence about a client, as well as for identifying prospective customers of the client, for use in a lead generation system accessible by the client via the Internet. The text mining system has various components, including a data acquisition process that extracts textual data from various Internet sources, a database for storing the extracted data, a text mining server that executes query-based searches of the database, and an output repository. A web server provides client access to the repository, and to the mining server.
Latest iNetProfit, Inc. Patents:
This application claims the benefit of U.S. Provisional Application No. 60/206,772, filed May 24, 2000 and entitled "Web-Based Customer Lead Generator". The present patent application and additionally the following patent applications are each conversions from the foregoing provisional filing: patent application Ser. No. 09/862,832 entitled "Web-Based Customer Lead Generator System" and filed May 21, 2001; patent application Ser. No. 09/862,814 entitled "Web-Based Customer Prospects Harvester System" and filed May 21, 2001; patent application Ser. No. 09/865,802 entitled "Database Server System for Web-Based Business Intelligence" and filed May 24, 2001; patent application Ser. No. 09/865,804 entitled "Data Mining System for Web-Based Business Intelligence" and filed May 24, 2001; patent application Ser. No. 09/865,805 entitled "Text Indexing System for Web-Based Business Intelligence" and filed May 24, 2001.
This invention relates to electronic commerce, and more particularly to business intelligence software tools for acquiring leads for prospective customers, using Internet data sources.
Most small and medium sized companies face similar challenges in developing successful marketing and sales campaigns. These challenges include locating qualified prospects who are making immediate buying decisions. It is desirable to personalize marketing and sales information to match those prospects, and to deliver the marketing and sales information in a timely and compelling manner. Other challenges are to assess current customers to determine which customer profile produces the highest net revenue, then to use those profiles to maximize prospecting results. Further challenges are to monitor the sales cycle for opportunities and inefficiencies, and to relate those findings to net revenue numbers.
Today's corporations are experiencing exponential growth to the extent that the volume and variety of business information collected and accumulated is overwhelming. Further, this information is found in disparate locations and formats. Finally, even if the individual data bases and information sources are successfully tapped, the output and reports may be little more than spreadsheets, pie charts and bar charts that do not directly relate the exposed business intelligence to the companies' processes, expenses, and to its net revenues.
With the growth of the Internet, one trend in developing marketing and sales campaigns is to gather customer information by accessing Internet data sources. Internet data intelligence and data mining products face specific challenges. First, they tend to be designed for use by technicians, and are not flexible or intuitive in their operation; secondly, the technologies behind the various engines are changing rapidly to take advantage of advances in hardware and software, and finally, the results of their harvesting and mining are not typically related to specific goals and objectives.
One aspect of the invention is a text mining system for collecting business intelligence about a client, as well as for identifying prospective customers of the client. The text mining system is used in a lead generation system accessible by the client via the Internet.
The mining system has various components, including a data acquisition process that extracts textual data from various Internet sources, a database for storing the extracted data, a text mining server that executes query-based searches of the database, and an output repository. A web server provides client access to the repository, and to the mining server.
Lead Generator System Overview
The users of system 10 may be any business entity that desires to conduct more effective marketing campaigns. For example, these users may be direct marketers who wish to maximizing the effectiveness of direct sales calls, or e-commerce web sites who wish to build audiences.
In general, system 10 may be described as a web-based Application Service Provider (ASP) data collection tool. The general purpose of system 10 is to analyze a client's marketing and sales cycle in order to reveal inefficiencies and opportunities, then to relate those discoveries to net revenue estimates. Part of the latter process is proactively harvesting prequalified leads from external and internal data sources. As explained below, system 10 implements an automated process of vertical industry intelligence building that involves automated reverse lookup of contact information using an email address and key phrase highlighting based on business rules and search criteria.
More specifically, system 10 performs the following tasks:
- Uses client-provided criteria to search Internet postings for prospects who are discussing products or services that are related to the client's business offerings
- Selects those prospects matching the client's criteria
- Pushes the harvested prospect contact information to the client, with a link to the original document that verifies the prospects interest
- Automatically opens or generates personalized sales scripts and direct marketing materials that appeal to the prospects' stated or implied interests
- Examines internal sales and marketing materials, and by applying data and text mining analytical tools, generates profiles of the client's most profitable customers
- Cross-references and matches the customer profiles with harvested leads to facilitate more efficient harvesting and sales presentations
- In the audience building environment, requests permission to contact the prospect to offer discounts on services or products that are directly or indirectly related to the conversation topic, or to direct the prospect to a commerce source.
System 10 provides open access to its web site. A firewall (not shown) is used to prevent access to client records and the entire database server. Further details of system security are discussed below in connection with
Consistent with the ASP architecture of system 10, interactions between client system 13 and system 10 will typically be by means of Internet access, such as by a web portal. Authorized client personnel will be able to create and modify profiles that will be used to search designated web sites and other selected sources for relevant prospects.
Client system 11 may be any computer station or network of computers having data communication to lead generator system 10. Each client system 11 is programmed such that each client has the following capabilities: a master user account and multiple sub user accounts, a user activity log in the system database, the ability to customize and personalize the workspace; configurable, tiered user access; online signup, configuration and modification, sales territory configuration and representation, goals and target establishment, and online reporting comparing goals to target (e.g., expense/revenue; budget/actual).
Administration system 14 performs such tasks as account activation, security administration, performance monitoring and reporting, assignment of master userid and licensing limits (user seats, access, etc.), billing limits and profile, account termination and lockout, and a help system and client communication.
System 10 interfaces with various client applications 15. For example, system 10 may interface with commercially available enterprise resource planning (ERP), sales force automation (SFA), call center, e-commerce, data warehousing, and custom and legacy applications.
Lead Generator System Architecture
A prospects harvester process 21 uses a combination of external data sources, client internal data sources and user-parameter extraction interfaces, in conjunction with a search, recognition and retrieval system, to harvest contact information from the web and return it to a staging data base 22. In general, process 21 collects business intelligence data from both inside the client's organization and outside the organization. The information collected can be either structured data as in corporate databases/spreadsheet files or unstructured data as in textual files.
Process 21 may be further programmed to validate and enhance the data, utilizing a system of lookup, reverse lookup and comparative methodologies that maximize the value of the contact information. Process 21 may be used to elicit the prospect's permission to be contacted. The prospect's name and email address are linked to and delivered with ancillary information to facilitate both a more efficient sales call and a tailored e-commerce sales process. The related information may include the prospect's email address, Web site address and other contact information. In addition, prospects are linked to timely documents on the Internet that verify and highlight the reason(s) that they are in fact a viable prospect. For example, process 21 may link the contact data, via the Internet, to a related document wherein the contact's comments and questions verify the high level value of the contact to the user of this system (the client).
A profiles generation process 25 analyzes the user's in-house files and records related to the user's existing customers to identify and group those customers into profile categories based on the customer's buying patterns and purchasing volumes. The patterns and purchasing volumes of the existing customers are overlaid on the salient contact information previously harvested to allow the aggregation of the revenue-based leads into prioritized demand generation sets. Process 25 uses an analysis engine and both data and text mining engines to mine a company's internal client records, digital voice records, accounting records, contact management information and other internal files. It creates a profile of the most profitable customers, reveals additional prospecting opportunities, and enables sales cycle improvements. Profiles include items such as purchasing criteria, buying cycles and trends, cross-selling and up-selling opportunities, and effort to expense/revenue correlations. The resulting profiles are then overlaid on the data obtained by process 21 to facilitate more accurate revenue projections and to enhance the sales and marketing process. The client may add certain value judgments (rankings) in a table that is linked to a unique lead id that can subsequently be analyzed by data mining or OLAP analytical tools. The results are stored in the deliverable database 24.
Profiles generation process 25 can be used to create a user (client) profiles database 26, which stores profiles of the client and its customers. As explained below, this database 26 may be accessed during various data and text mining processes to better identify prospective customers of the client.
Web server 29 provides the interface between the client systems 13 and the lead generation system 10. As explained below, it may route different types of requests to different sub processes within system 10. The various web servers described below in connection with
Data Sources
One data source is newsgroups, such as USENET. To access discussion documents from USENET newsgroups such as "news.giganews.com", NNTP protocol is used by the crawler process to talk to a USENET news server such as "news.giganews.com." Most of news servers only archive news articles for a limited period (giganews.com archives news articles for two weeks), this Crawler 31 incrementally downloads and archives these newsgroups periodically in a scheduled sequence. This aspect of crawler process 31 is controlled by user-specified parameters such as news server name, IP address, newsgroup name and download frequency, etc.
Another data source is web-Based discussion forums. The crawler process follows the hyper links on a web-based discussion forum, traverse these links to user or design specified depths and subsequently access and retrieve discussion documents. Unless the discussion documents are archived historically on the web site, the crawler process will download and archive a copy for each of the individual documents in a file repository. If the discussion forum is membership-based, the crawler process will act on behalf of the authorized user to logon to the site automatically in order to retrieve documents. This function of the crawler process is controlled by user specified parameters such as a discussion forum's URL, starting page, the number of traversal levels and crawling frequency.
A third data source is Internet-based or facilitated mailing lists wherein individuals send to a centralized location emails that are then viewed and/or responded to by members of a particular group. Once a suitable list has been identified a subscription request is initiated. Once approved, these emails are sent to a mail server where they are downloaded, stored in system 10 and then processed in a fashion similar to documents harvested from other sources. The system stores in a database the filters, original URL and approval information to ensure only authorized messages are actually processed by system 10.
A fourth data source is corporations' internal documents. These internal documents may include sales notes, customer support notes and knowledge base. The crawler process accesses corporations' internal documents from their Intranet through Unix/Windows file system or alternately be able to access their internal documents by riding in the databases through an ODBC connection. If internal documents are password-protected, crawler process 31 acts on behalf of the authorized user to logon to the file systems or databases and be able to subsequently retrieve documents. This function of the crawler process is controlled by user-specified parameters such as directory path and database ODBC path, starting file id and ending file id, and access frequency. Other internal sources are customer information, sales records, accounting records, and digitally recorded correspondence such as e-mail files or digital voice records.
A fifth data source is web pages from Internet web sites. This function of the crawler process is similar to the functionality associated with web-discussion-forums. Searches are controlled by user-specified parameters such as web site URL, starting page, the number of traversal levels and crawling frequency.
Database Server System
The input data 42 can be the client's sales data, customer-contact data, customer purchase data and account data etc. Various data sources for customer data can be contact management software packages such as ACT, MarketForce, Goldmine, and Remedy. Various data sources for accounting data are Great Plains, Solomon and other accounting packages typically found in small and medium-sized businesses. If the client has ERP (enterprise resource planning) systems (such as JD Edwards, PeopleSoft and SAP) installed, the data sources for customer and accounting data will be extracted from ERP customer and accounting modules. This data is typically structured and stored in flat files or relational databases. System 41 is typically an OLAP (On-line analytic processing) type server-based system. It has five major components. A data acquisition component 41a collects and extracts data from different data sources, applying appropriate transformation, aggregation and cleansing to the data collected. This component consists of predefined data conversions to accomplish most commonly used data transformations, for as many different types of data sources as possible. For data sources not covered by these predefined conversions, custom conversions need to be developed. The tools for data acquisition may be commercially available tools, such as Data Junction, ETI*EXTRACT, or equivalents. Open standards and APIs will permit employing the tool that affords the most efficient data acquisition and migration based on the organizational architecture.
Data mart 41b captures and stores an enterprise's sales information. The sales data collected from data acquisition component 41a are "sliced and diced" into multidimensional tables by time dimension, region dimension, product dimension and customer dimension, etc. The general design of the data mart follows data warehouse/data mart Star-Schema methodology. The total number of dimension tables and fact tables will vary from customer to customer, but data mart 41b is designed to accommodate the data collected from the majority of commonly used software packages such as PeopleSoft or Great Plains.
Various commercially available software packages, such as Cognos, Brio, Informatica, may be used to design and deploy data mart 41b. The Data Mart can reside in DB2, Oracle, Sybase, MS SQL server, P.SQL or similar database application. Data mart 41b stores sales and accounting fact and dimension tables that will accommodate the data extracted from the majority of industry accounting and customer contact software packages.
A Predefined Query Repository Component 41c is the central storage for predefined queries. These predefined queries are parameterized macros/business rules that extract information from fact tables or dimension tables in the data mart 41b. The results of these queries are delivered as business charts (such as bar charts or pie charts) in a web browser environment to the end users. Charts in the same category are bounded with the same predefined query using different parameters. (i.e. quarterly revenue charts are all associated with the same predefined quarterly revenue query, the parameters passed are the specific region, the specific year and the specific quarter). These queries are stored in either flat file format or as a text field in a relational database.
A Business Intelligence Charts Repository Component 41d serves two purposes in the database server system 41. A first purpose is to improve the performance of chart retrieval process. The chart repository 41d captures and stores the most frequently visited charts in a central location. When an end user requests a chart, system 41 first queries the chart repository 41d to see if there is an existing chart. If there is a preexisting chart, server 41e pulls that chart directly from the repository. If there is no preexisting chart, server 41e runs the corresponding predefined query from the query repository 41c in order to extract data from data mart 41b and subsequently feed the data to the requested chart. A second purpose is to allow chart sharing, collaboration and distribution among the end users. Because charts are treated as objects in the chart repository, users can bookmark a chart just like bookmarking a regular URL in a web browser. They can also send and receive charts as an email attachment. In addition, users may logon to system 41 to collaboratively make decisions from different physical locations. These users can also place the comments on an existing chart for collaboration.
Another component of system 41 is the Web Server component 41e, which has a number of subcomponents. A web server subcomponent (such as Microsoft IIS or Apache server or any other commercially available web servers) serves HTTP requests. A database server subcomponent (such as Tango, Cold Fusion or PHP) provides database drill-down functionality. An application server subcomponent routes different information requests to different other servers. For example, sales revenue chart requests will be routed to the database system 41; customer profile requests will be routed to a Data Mining server, and competition information requests will be routed to a Text Mining server. The latter two systems are discussed below. Another subcomponent of server 41e is the chart server, which receives requests from the application server. It either runs queries against data mart 41b, using query repository 41c, or retrieves charts from chart repository 41c.
As output 43, database server system 41 delivers business intelligence about an organization's sales performance as charts over the Internet or corporate Intranet. Users can pick and choose charts by regions, by quarters, by products, by companies and even by different chart styles. Users can drill-down on these charts to reveal the underlying data sources, get detailed information charts or detailed raw data. All charts are drill-down enabled allowing users to navigate and explore information either vertically or horizontally. Pie charts, bar charts, map views and data views are delivered via the Internet or Intranet.
As an example of operation of system 41, gross revenue analysis of worldwide sales may be contained in predefined queries that are stored in the query repository 41c. Gross revenue queries accept region and/or time period as parameters and extract data from the Data Mart 41b and send them to the web server 41e. Web server 41e transforms the raw data into charts and publishes them on the web.
Data Mining System
Data sources 62 for system 61 are the Data Mart 41b, e.g., data from the tables that reside in Data Mart 41b, as well as data collected from marketing campaigns or sales promotions.
For data coming from the Data Mart 41b, data acquisition process 61a between Mining Base 61b and Data Mart 41b extract/transfer and format/transform data from tables in the Data Mart 41b into Data Mining base 61b. For data collected from sales and marketing events, data acquisition process 61a may be used to extract and transform this kind of data and store it in the Data Mining base 61b.
Data Mining base 61b is the central data store for the data for data mining system 61. The data it stores is specifically prepared and formatted for data mining purposes. The Data Mining base 61b is a separate data repository from the Data Mart 41b, even though some of the data it stores is extracted from Data Mart's tables. The Data Mining base 61b can reside in DB2, Oracle, Sybase, MS SQL server, P.SQL or similar database application.
Chart repository 61d contains data mining outputs. The most frequently used decision tree charts are stored in the chart repository 61d for rapid retrieval.
Customer purchasing behavior analysis is accomplished by using predefined Data Mining models that are stored in a model repository 61e. Unlike the predefined queries of system 41, these predefined models are industry-specific and business-specific models that address a particular business problem. Third party data mining tools such as IBM Intelligent Miner and Clementine, and various integrated development environments (IDEs) may be used to explore and develop these data mining models until the results are satisfactory. Then the models are exported from the IDE into standalone modules (in C or C++) and integrated into model repository 61e by using data mining APIs.
Data mining server 61c supplies data for the models, using data from database 61c.
The outputs of server 61e may include various options, such as decision trees, Rule Sets, and charts. By default, all the outputs have drill-down capability to allow users to interactively navigate and explore information in either a vertical or horizontal direction. Views may also be varied, such as by influencing factor. For example, in bar charts, bars may represent factors that influence customer purchasing (decision-making) or purchasing behavior. The height of the bars may represent the impact on the actual customer purchase amount, so that the higher the bar is the more important the influencing factor is on customers' purchasing behavior. Decision trees offer a unique way to deliver business intelligence on customers' purchasing behavior. A decision tree consists of tree nodes, paths and node notations. Each individual node in a decision tree represents an influencing. A path is the route from root node (upper most level) to any other node in the tree. Each path represents a unique purchasing behavior that leads to a particular group of customers with an average purchase amount. This provides a quick and easy way for on-line users to identify where the valued customers are and what the most important factors are when customer are making purchase decisions. This also facilitates tailored marketing campaigns and delivery of sales presentations that focus on the product features or functions that matter most to a particular customer group. Rules Sets are plain-English descriptions of the decision tree. A single rule in the RuleSet is associated with a particular path in the decision tree. Rules that lead to the same destination node are grouped into a RuleSet. RuleSet views allow users to look at the same information presented in a decision tree from a different angle. When users drill down deep enough on any chart, they will reach the last drill-down level that is data view. A data view is a table view of the underlying data that supports the data mining results. Data Views are dynamically linked with Data Mining base 61b and Data Mart 41b through web server 61f.
Web server 61f, which may be the same as database server 41e, provides Internet access to the output of mining server 61c. Existing outputs may be directly accessed from storage in charts repository 61d. Or requests may be directed to models repository 61e. Consistent with the application service architecture of lead generation system 10, access by the client to web server 61f is via the Internet and the client's web browser.
Text Mining System
The source data 82 for text mining system 81 falls into two main categories, which can be mined to provide business intelligence. Internal documents contain business information about sales, marketing, and human resources. External sources consist primarily of the public domain in the Internet. Newsgroups, discussion forums, mailing lists and general web sites provide information on technology trends, competitive information, and customer concerns.
More specifically, the source data 82 for text mining system 81 is from five major sources. Web Sites: on-line discussion groups, forums and general web sites. Internet News Group: Internet newsgroups for special interests such as alt.ecommerce and microsoft.software.interdev. For some of the active newsgroups, hundreds of news articles may be harvested on a weekly basis. Internet Mailing Lists: mailing lists for special interests, such as e-commerce mailing list, company product support mailing list or Internet marketing mailing list. For some of the active mailing lists, hundreds of news articles will be harvested on a weekly basis. Corporate textual files: internal documents such as emails, customer support notes sales notes, and digital voice records.
For data acquisition 81a from web sites, user-interactive web crawlers are used to collect textual information. Users can specify the URLs, the depth and the frequency of web crawling. The information gathered by the web crawlers is stored in a central repository, the text archive 81b. For data acquisition from newsgroups, a news collector contacts the news server to download and transform news articles in an html format and deposit them in text archive 81b. Users can specify the newsgroups names, the frequency of downloads and the display format of the news articles to news collector. For data acquisition from Internet mailing lists, a mailing list collector automatically receives, sorts and formats email messages from the subscribed mailing lists and deposit them into text archive 81b. Users can specify the mailing list names and address and the display format of the mail messages. For data acquisition from client text files, internal documents are sorted, collected and stored in the Text Archive 81b. The files stored in Text Archive 81b can be either physical copies or dynamic pointers to the original files.
The Text Archive 81b is the central data store for all the textual information for mining. The textual information it stores is specially formatted and indexed for text mining purpose. The Text Archive 81b supports a wide variety of file formats, such plain text, html, MS Word and Acrobat.
Text Mining Server 81c operates on the Text Archive 81b. Tools and applications used by server 81c may include ThemeScape and a Text Mining GUI 81c. A repository 81d stores text mining outputs. Web server 81e is the front end interface to the client system 13, permitting the client to access database 81b, using an on-line search executed by server 81c or server 81e.
The outputs of system 81 may include various options. Map views and simple query views may be delivered over the Internet or Intranet. By default, all the outputs have drill-down capability to allow users to reach the original documents. HTML links will be retained to permit further lateral or horizontal navigation. Keywords will be highlighted or otherwise pointed to in order to facilitate rapid location of the relevant areas of text when a document is located through a keyword search. For example, Map Views are the outputs produced by ThemeScape. Textual information is presented on a topological map on which similar "themes" are grouped together to form "mountains." On-line users can search or drill down on the map to get the original files. Simple query views are similar to the interfaces of most of the Internet search engines offered (such as Yahoo, Excite and HotBot). It allows on-line users to query the Text Archive 81b for keywords or key phrases or search on different groups of textual information collected over time.
A typical user session using text-mining system 81 might follow the following steps. It is assumed that the user is connected to server 81e via the Internet and a web browser, as illustrated in
- 1. Compile list of data sources (Newsgroups, Discussion Groups, etc)
- 2. Start ThemeScape Publisher or comparable application
- 3. Select "File"
- 4. Select "Map Manager" or comparable function
- 5. Verify that server and email blocks are correctly set. If not, insert proper information.
- 6. Enter password.
- 7. Press "Connect" button
- 8. Select "New"
- 9. Enter a name for the new map
- 10. If duplicating another maps settings, use drop down box to select the map name.
- 11. Select "Next"
- 12. Select "Add Source"
- 13. Enter a Source Description
- 14. Source Type remains "World Wide Web (WWW)"
- 15. Enter the URL to the site to be mined.
- 16. Add additional URLs, if desired.
- 17. Set "Harvest Depth." Parameters range from 1 level to 20 levels.
- 18. Set "Filters" if appropriate. These include Extensions, Inclusions, Exclusions, Document Length and Rations.
- 19. Set Advanced Settings, if appropriate. These include Parsing Settings, Harvest Paths, Domains, and Security and their sub-settings.
- 20. Repeat steps 14 through 20 for each additional URL to be mined.
- 21. Select "Advanced Settings" if desired. These include Summarization Settings, Stopwords, and Punctuation.
- 22. Select "Finish" once ready to harvest the sites.
- 23. The software downloads and mines (collectively known as harvesting) the documents and creates a topographical map.
- 24. Once the map has been created, it can be opened and searched.
Access to User Profiles Database
As explained above in connection with
Referring again to
Text Indexing System
Text mining system 81 and text indexing system 101 are two different systems for organizing mass textual information. Text mining system 81 identifies and extracts key phrases, major topics, and major themes from a mass amount of documents. The text mining system 81 is suitable for those on-line users who want to perform thorough research on the document collection. Text indexing system 101 is similar to text mining system 81 but is simpler and faster. It only identifies and extracts syntax information such as key words/key phrases. It provides a simple and fast alternative to users who just want to perform keyword searches.
The data sources 102 for Text Indexing system 101 are similar to those described above for Text Mining system 81. For data acquisition 101a, various software may be used. These include web crawlers and mailing list collecting agents. These are similar to those described above in connection with Text Mining system 81.
The text archive 101b is the central data store for all the textual information for indexing. The textual information it stores is specially formatted and indexed for text mining or indexing purpose. The Text archive 101b supports a wide variety of file formats, such plain text, html, MS Word and Acrobat. Text archive 101b may be the same text archive as used in system 81.
Server 101c indexes the document collection in a multi-dimensional fashion. It indexes documents not only on keywords/key phases but also on contact information associated within the documents. In other words, the server 101c allows on-line users to perform cross-reference search on both keywords and contact information. As an example, when users perform a keyword search on a collection of documents, the text indexing server returns a list of hits that consist of relevance (who-when-what), hyperlink, summary, timestamp, and contact information. Alternately, when users perform contact information search on a collection of documents, the text indexing server 101c yields a list of documents associated with that individual.
Using Text Indexing Server 101c, users may navigate documents easily and quickly and find information such as "who is interested in what and when."
Contact information and links to the associated documents are migrated into a Sales Prospects repository 101d (a relational database). This contact information can be exported into normal contact management software from the repository 101d.
The outputs 103 of system 101 are varied. Simple Query Views may be delivered to the client over the Internet or Intranet. By default, all the outputs have drill-down capability to allow users to reach the original documents. The Query Views may be similar to the interfaces of commonly used Internet search engines offered, such as Yahoo, Excite and HotBot. It allows on-line users to query the Text Archive 101b for keywords/key phrases and contact information search on different groups of textual information collected over time.
Digital Voice Recording Mining System
Digital Voice Records (DVR) are increasing in use as companies move to sell and market over increasing boundaries, improve customer relations and provide a variety of support functions through call centers and third-party vendors. Present technology allows calls to be recalled through date-time stamps and a variety of other positional indicators but there are no means to analyze the content and context of the massive amount of this audio media.
System 120 uses speech-to-text translation capability to convert the digitally recorded voices, most often Vox or Wave (wav) format, into machine-readable text. A positional locator is created in the header file to facilitate direct linking back to the voice record, if needed. Accuracy of the recording on the receiving end is enhanced through training of the voice engine; an acceptable margin of error is expected on the incoming voice. The text files are stored in a Data Mart 122 where they may be mined using a search engine. Search engines such as ThemeScape are especially suitable in that they do more than simply count words and index frequently occurring phrases; they find "themes" by examining where words appear in the subject, text and individual sentence structure.
A typical user session of system 120 might follow the following steps: Call is either received or initiated. Depending on state law, the parties are advised that the call may be recorded for quality control purposes. Call is digitally recorded using existing technology from providers such as 1DigiVoice. Vox or Wave (voice) files 121 are translated using speech-to-text conversion programs. Text files are stored in logical areas in Data Mart 122, for mining with a search engine. Maps or similar visual/graphical representations are placed in a Map or Image Repository 123. Users search maps using the search engines browser plug-in. When the user finds documents to review, the user is prompted to select "voice" or "text." If text, the original document/file in the Data Mart is displayed in the browser window. If voice, the positional indicator is pumped to the Digital Voice Record application that locates, calls and then plays to voice file segment.
Referring again to
Although the present invention has been described in detail, it should be understood that various changes, substitutions, and alterations can be made hereto without departing from the spirit and scope of the invention as defined by the appended claims.
1. A text mining system that permits an application service provider to provide data identifying prospective customers of a product or service provided by a product/service provider, comprising:
- a data acquisition process for extracting text documents from unstructured Internet discussion sites selected from the group consisting of: newsgroups, discussion forums, and mailing lists;
- wherein each discussion site comprises a collection of text documents generated by participants of the discussion site and broadcasted to multiple participants of the discussion site;
- an archive database for storing the extracted text documents;
- a text mining server for receiving queries from the product/service provider, each query representing a request for information about participants who are discussing a specified product or service;
- wherein the text mining server responds to each query by intruding into the Internet discussion site independently of, and without activation by the participants of the discussion site;
- wherein the text mining server is further operable to analyze data in the database, to provide the product/service provider with text mining outputs representing themes extracted from the data, and a link to at least one document stored in the database that contains information identifying a prospective customer who is discussing the product or service; and
- a web server for providing access to the text mining server via a web browser and the Internet, such that the product/service provider may interact with the text mining server to make the requests on line via the Internet and to receive the outputs generated by the text mining server;
- wherein the at least one link enables the product/service provider to access a text document from the archive database via the web browser.
2. The text mining system of claim 1, wherein the text documents are items of digitally recorded correspondence.
3. The text mining system of claim 1, wherein the text documents are digital voice records.
4. The text mining system of claim 1, wherein the data acquisition process is implemented with a web crawler.
5. The text mining system of claim 1, wherein text sources are further selected from Internet voice-to-text files.
6. A method, performed by an information service provider, for providing data identifying prospective customers of a product or service provided by a product/service provider, comprising the steps of:
- extracting text documents from at least one unstructured Internet discussion site selected from the group consisting of: newsgroups, discussion forums, and mailing lists;
- wherein the each discussion site comprises a collection of text documents generated by participants of the discussion site and broadcasted among multiple participants of the discussion site;
- storing the extracted text documents in an archive database;
- receiving a query from the product/service provider, via a web browser and a text mining server, the query representing a request for information about participants of the text sources who are discussing a specified product or service;
- using the text mining server to respond to the query independently of, and without activation by the participants;
- using the text mining server to analyze data in the archive database to satisfy the query, thereby providing the product/service provider with text mining output representing a theme extracted from the data, and a link to at least one document containing information identifying a prospective customer who is discussing the product or service; and
- delivering to the product/service provider, via a web browser, a query response to the product/service provider, the query response containing the text mining output and the link to the document.
7. The text mining method of claim 6, wherein the text sources are items of digitally recorded correspondence.
8. The text mining method of claim 6, wherein the text sources are digital voice records.
9. The text mining method of claim 6, wherein the data acquisition process is implemented with a web crawler.
10. The method of claim 6, further comprising the step of electronically delivering advertising to the prospective customer.
11. The method of claim 10, wherein the advertising is a link to a web site.
12. The method of claim 10, further comprising the step of contacting the prospective customer for permission to send advertising to the customer.
13. The method of claim 6, further comprising the step of performing a reverse lookup in on-line sources other than the discussion site for additional information about the prospective customer and wherein the delivering step further includes delivering the additional information.
14. The system of claim 1, further comprising a reverse lookup process for performing a reverse lookup, in on-line sources other than the discussion site, for contact information associated with the potential customer, and wherein the web server further provides the contact information with the query response.
15. The method of claim 6, further comprising the step of receiving from the product/service provider, via a web browser, an identification of one or more of the Internet text sources to be searched by the product/service provider.
16. The system of claim 1, further comprising a repository for storing outputs generated by the text mining server.
17. The system of claim 1, further comprising a profiles generator for providing profile data about prospective customers of the product/service provider, based on analysis of internal on-line documents of the product/service provider, and wherein the profiles data is used in determining the text mining output.
18. The method of claim 6, further comprising the step of using a profiles generator to provide profile data about prospective customers of the product/service provider, based on analysis of internal on-line documents of the product/service provider, and wherein the profile data is used in determining the text mining output.
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Patent History
Type: Grant
Filed: May 24, 2001
Date of Patent: Feb 21, 2006
Assignee: iNetProfit, Inc. (Austin, TX)
Inventors: John C. Seibel (Austin, TX), Yu Feng (Maplewood, NJ), Robert L. Foster (Austin, TX)
Primary Examiner: Leslie Wong
Attorney: Baker Botts L.L.P.
Application Number: 09/865,735
International Classification: G06F 17/30 (20060101);


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text:
Fiery Indian Shrimp Curry Recipe
Cooking projects for people who'd like nothing more than to spend a sunday afternoon surrounded by the wonderful aromas of the kitchen.
Note: Curry is just as good the next day. Just keep it separate from the rice and garnish with cilantro when you're ready to serve. Don't like shrimp? Swap it out for your preferred protein or vegetables in equal measure.
Read more: Sunday Supper: Fiery Indian Shrimp Curry
- Yield:Serves 4
- Active time: 25 minutes
- Total time:45 minutes
- Rated:
- For the Spice Blend:
- 1 teaspoon coriander seed
- 1 teaspoon cumin seeds
- 1 teaspoon black peppercorns
- 1/2 teaspoon cloves
- 1/4 teaspoon whole mustard seeds
- 3 to 4 cardamom pods
- 1/2 teaspoon ground ginger
- 1/2 teaspoon ground cinnamon
- 1/4 teaspoon ground turmeric
- For the Curry:
- 2 tablespoons vegetable oil
- 6 serrano chiles, stemmed and sliced lengthwise
- 5 garlic cloves, finely chopped (about 5 teaspoons)
- 1 tablespoon peeled ginger, minced
- 1 medium onion, chopped (about 1 cup)
- Kosher salt
- 1 (14.5 ounce) can coconut milk
- 1 cup plain yogurt
- 1 cup homemade or store-bought low sodium chicken broth
- 2 pounds raw shrimp, peeled and deveined
- 1/2 cup chopped fresh tomatoes
- 2 bay leaves
- 1/4 cup minced fresh cilantro
- 3 cups cooked white rice
For the Spice Blend: Heat a heavy skillet over medium heat and gently toast coriander seeds, cumin seeds, peppercorns, cloves, mustard seeds, and cardamom pods, leaving seeds in the pods. Remove from heat when fragrant, about 1 minute. Remove cardamom seeds from pods and discard pods. Transfer toasted spices to a mortar and add ground ginger, cinnamon and turmeric. Grind into a fine blend using a pestle. Alternately, use a spice mill or coffee grinder to get grind.
For the Curry: Heat oil in a medium stockpot over medium heat until shimmering. Add chiles, garlic, ginger, and onion, and cook, stirring until fragrant and chiles and onions start to soften, about 1 minute. Reduce heat to medium and add 2 tablespoons curry blend and 1 teaspoon salt, coconut milk, yogurt and chicken broth and bring to a simmer.
Add shrimp and cook, uncovered, stirring, until just cooked through, 3 to 4 minutes. Add tomatoes and heat through. Taste and adjust seasonings, as needed. Remove and discard bay leaves. Season to taste with more curry blend and salt. Sprinkle with cilantro leaves and serve immediately with rice.
This Recipe Appears InSunday Supper: Fiery Indian Shrimp Curry
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Agriculture Secretary Tom Vilsack visited a waste-to-energy bioprocessing facility under construction in Florida to announce the Departments of Agriculture (USDA) and Energy (DOE) have awarded 10 grants totaling $12.2 million to spur research into improving the efficiency and cost-effectiveness of growing biofuel and bioenergy crops.
"USDA is helping our nation develop the next generation of biofuels to grow jobs and generate energy from new, homegrown sources," said Vilsack.
"Combining DOE's leadership in genome-scale technologies with USDA's experience in crop improvement will accelerate the efficient production of biofuels."
"Biofuels, along with other advanced vehicle technologies, hold the potential to help reduce our oil imports while adding new jobs and driving wealth creation in rural America," said Energy Secretary Steven Chu.
"This investment in research will be instrumental in developing the best possible crops to produce biofuels."
Overall, the USDA and DOE projects are designed to improve special crops to be grown for biofuels — including selected trees and grasses — by increasing their yield, quality and ability to adapt to extreme environments.
Researchers will rely on the most advanced techniques of modern genomics to develop breeding and other strategies to improve the crops. The research will be conducted on switchgrass, poplar, Miscanthus and Brachypodium, among other plants.
The potential benefits of this research range from decreasing oil imports to increasing options for American farmers.
Can be grown on marginal land
Because these crops will be optimized to tolerate conditions such as drought and poor soils, they can be grown on marginal lands unsuitable for food crops, thereby avoiding competition with food production.
Farmers will have the option to grow bioenergy crops in addition to other existing crop choices.
The 10 projects are located in California, Colorado, Illinois, Florida, Kansas, Missouri, Oklahoma, South Carolina and Virginia. The full list can be found online at: http://genomicscience.energy.gov/research/DOEUSDA/ - page=news.
Vilsack made the announcement at the INEOS New Planet BioEnergy facility in Vero Beach, Fla., which was granted a conditional USDA loan guarantee earlier this year to help build and operate a biorefinery capable of producing 8 million gallons per year of cellulosic ethanol and 6 megawatts of electricity.
The USDA and DOE joint announcement will also benefit Florida by providing grant funding to the University of Florida in Gainesville to improve energy production from cane biomass.
The project will produce a range of foundational genetic resources and genetic makers for energy cane breeders to efficiently develop energy cane cultivars with increased biomass production and reduced input requirement.
This is the sixth year of the joint USDA and DOE funding program. DOE's Office of Science will provide $10.2 million in funding for eight projects, while USDA's National Institute of Food and Agriculture (NIFA) will award $2 million to fund two projects. Initial funding will support research projects for up to three years.
For more information on the individual projects and the joint DOE-USDA Plant Feedstocks Genomics for Bioenergy research program, visit: http://genomicscience.energy.gov/research/DOEUSDA/index.shtml.


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Find us on:
The National Eye Institute (NEI), established in 1968, has primary responsibility within the National Institutes of Health for supporting and conducting research aimed at improving the prevention, diagnosis, and treatment of eye diseases. In addition, the NEI encourages the application of research findings to clinical practice, heightens public awareness of eye and vision problems, and cooperates with voluntary organizations that engage in related activities. The NEI coordinates the National Eye Health Education Program (NEHEP), a Federal effort to prevent vision loss by encouraging early diagnosis and timely treatment of eye diseases.
Review Date: Wednesday, October 14, 2015
List reviewed web resources
NIA, one of the 27 Institutes and Centers of NIH, leads a broad scientific effort to understand the nature of aging and to extend the healthy, active years of life. In 1974, Congress granted authority to form NIA to provide leadership in aging research, training, health information dissemination, and other programs relevant to aging and older people. Subsequent amendments to this legislation designated the NIA as the primary Federal agency on Alzheimer's disease research.
The Institute's mission is to:
•Support and conduct genetic, biological, clinical, behavioral, social, and economic research related to the aging process, diseases and conditions associated with aging, and other special problems and needs of older Americans.
•Foster the development of research and clinician scientists in aging.
•Communicate information about aging and advances in research on aging to the scientific community, health care providers, and the public.
Review Date: Monday, July 14, 2014
The American Academy of Ophthalmology is the largest national membership association of ophthalmologists, medical and osteopathic doctors who provide comprehensive eye care, including medical, surgical and optical care. More than 90 percent of practicing U.S. Eye M.D.s are Academy members, and the Academy has more than 7,000 international members. The Academy provides a wide variety of programs, products and services to Eye M.D.s and the patients.
Review Date: Tuesday, December 06, 2011
BrightFocus Foundation is a registered 501(c)(3) non-profit organization that funds research into cures for Alzheimer's disease, macular degeneration and glaucoma, and provides the public with information about risk factors, preventative lifestyles, available treatments and coping strategies.
Review Date: Thursday, March 14, 2013
The mission of the Glaucoma Foundation (TGF) is to fund groundbreaking research and to educate the public about the disease and the importance of early detection to prevent blindness. The Foundation works to encourage and support basic and applied research in glaucoma, to gain and disseminate new information about the causes and treatment of glaucoma, and to further efforts to identify and develop novel approaches to preserve visual function and reverse blindness caused by glaucoma.
Review Date: Wednesday, August 31, 2011
The Glaucoma Research Foundation (GRF) is a national, nonprofit organization dedicated to protecting the sight of people who have glaucoma through research and education. GRF was established in 1978 to support medical research into the causes and treatments of glaucoma. The organization also coordinates the Glaucoma Support Network, a national, telephone-based peer support network for glaucoma patients and their families (8:30 am - 5:00 pm, PST, Monday-Friday). GRF welcomes inquiries and encourages public and professional education.
Review Date: Friday, November 21, 2008
Lighthouse International is a non-profit organization, based in New York City, dedicated to fighting vision loss through prevention, treatment and empowerment. The organization provides direct services and information to help people who are blind (or with low vision) lead independent lives. Lighthouse also conducts professional and continuing-education courses for low vision practitioners and professionals in related fields; provides national and international contact information for local support groups, low vision services, rehabilitation agencies, state agencies and advocacy groups; and operates a retail and mail order store with low vision products.
Review Date: Wednesday, June 08, 2011
Prevent Blindness America, formerly known as the National Society to Prevent Blindness (NSPB), was founded in 1908. It promotes the prevention of blindness through a comprehensive program of community services, public and professional education, and research. Prevent Blindness attempts to translate medical and technological advances in the field of eye care into practical and obtainable services for the public. It sponsors vision screening and educational projects for the detection of vision problems in young children and adults. Speakers and educational materials are geared to such specific audiences as elementary school children, senior citizens, nurses, and agricultural workers. Information and advisory services related to current treatments and available facilities, research findings, and medical knowledge in the field of eye care and eye disease, and eye health and eye safety are available upon request by phone or letter. Prevent Blindess' program of professional education provides health professionals and health service groups with eye-care resource materials and educational programs related to services in the community. The group conducts statistical studies on the causes of blindness and funds laboratory and clinical research projects related to the prevention of blindness. There are affiliates and divisions in 23 States.
Review Date: Friday, February 04, 2011
Research to Prevent Blindness (RPB) is the leading voluntary health organization supporting eye research directed at the prevention, treatment or eradication of all diseases that threaten vision.
In pursuit of this objective, RPB has committed hundreds of millions of dollars in grant support to provide scientific manpower, technological equipment and eye research laboratory facilities. As a result, RPB researchers have been associated with nearly every major breakthrough in the understanding and treatment of the loss of vision across the past 50 years.
Today, RPB provides major eye research funding to more than 50 leading scientific institutions in the U.S. and supports the work of hundreds of talented vision scientists engaged in a diverse range of disease-oriented research.
RPB's far-reaching activities are planned and carried out with the expert advice and guidance of a Scientific Advisory Panel composed of distinguished leaders in the field of medical science.
RPB neither seeks nor accepts funds from any governmental source. It does not conduct expensive mass mailing campaigns but, rather, relies on bequests and selective appeals to interested individuals, corporations and private foundations to support its research effort.
Anyone wishing information concerning current research findings related to a specific eye disease may contact RPB. To obtain a full description of RPB's programs, its audited financial statements and a listing of the volunteers who serve on its Board of Trustees and Scientific Advisory Committees, download RPB's Annual Report.
Review Date: Wednesday, July 29, 2015
The Sturge-Weber Foundation (SWF) is a non-profit foundation serving people with Sturge-Weber syndrome (also known as encephalotrigeminal angiomatosis), Klippel Trenaunay (KT) and Port Wine Stains (PWS), their families, and the medical and professional community. The Foundation acts as a clearinghouse for information and to facilitate fund raising for research into SWS, KT and PWS. The Foundation provides telephone counselling in addition to an e-mail support group on the Internet
Review Date: Wednesday, July 07, 2010
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AMD's Carrizo will face off with Broadwell-U, won't land in desktops
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As Summer Ends, Teacher Dread Grows
August is high-anxiety time for families with elementary and middle-school children, as they await news of their teacher assignments for the year. Sue Shellenbarger and Mary Herbenick discuss on Lunch Break. Photo: Getty Images.
This transcript has been automatically generated and may not be 100% accurate.
... I ... Goldstein on the debt ceiling at the principal ... just a preview behave in a new academic year ... by the parents that is yes things can get a little testy when a kid doesn't get assigned a teacher ... they won here with the lay of the land is deadliest J ... work and family calmness Sue Shellenbarger we also have very hermeneutic is the parent with two children ... who attend school in North Carolina thank so much for both of you for being here soo ... funny to start with you I want dissatisfaction out there among parents ... on you so there's a new survey showing just how much of the dissatisfaction is when kids don't get the teacher they want one of the doubt ... the historic excess ... resort to be extremely says it expects a sneak peek here ... cool ... Ch and I ... can ... ask for changes in its teachers ... know it's still pretty with him in a ... pool here is the only our theory passionate about this ACTG choice as ... a ... critical and adjust now ... and their intent to kill who attend school in North Carolina which is is my home state fell out by the new fella neighbors here ... you were I'm I'm usually not happy with the teacher assignment that her daughter died ... how did you know Scripture dissatisfaction ... and what happened that he did ... the great question that she and I needed a good read these information and the latter in the mail that all of the parents are reading for it ... I'm about the defined and to my child would be in for second grade ... and my daughter with a reading delayed given an electronic be needed to have a particular teacher ... and I went into the Dr Reddy are printable HT and I and and that I need to know why you might get that particular teacher for my daughter and she got down with me and spend time and explain the process ask me to trust them ... they need it and things turned out okay with that agency doesn't he just got assigned ... to actually I think things turned out even better than expected and probably even better than that ... we have had the assignment that we can actually want to ... instill Mary's out Mary's story here she sings pretty calm and reasonable the way she dealt with that that that's not always the case is the ... huge critical and wouldn't that be a good job I think of of taking care when it wouldn't take that into my concern and can also be looking up but to ... but sometimes kids need beginnings off maybe the school that that no information about their child has experienced or a fiddling to compete with the teacher ... other parent unreadable like Miri and they do not ... scream and yell come to get to go to the higher up in the district ... it can be really problematic for school officials ... this discussion to about whether the process can at times be unfair if ... their parents who are volunteering spend more time in school or parents are able to ... to donate more I dollars for funding to a school that somehow perhaps their kids ... main get who they want more than other children might Sue Howard Scott schools working that out ... a lot of care don't you think the gift or special treatment and that that is in a normal thing in natural but not the case for a good principle ... go ahead and try to meet with the spirit to talk it through explained ... that they try to bail into question by behavior gender learning styles special needs ... and pretty fluid gift appeared to work with the teacher they've chosen ... to be tough sometimes that can counter kept a good one just like everybody else ... the site one big step back for us and and and remind people out there who have either had said so long that they don't they don't remember why this was so important to begin with the people who've never had kids in school and caught in that letter with a teacher what what is the sort of that what what is fundamentally at stake here why is it so important to get the white teacher ... for your skin ... she ... liked it we are trained apparent that we know what our child needs were told that the time or how they're going skiing and family as fact what we want when the teacher kind and come out and soak sch and there are really fantastic teachers weakened lucky to have an online through their experience that school ... and and and we all want about her children and Karen have been earning one particular solution on time with their health needs and ... I found that ... withdrawn ... on a hard thing to say ... that I'm somebody else had better ... information and their input denied that her for ... sticking with the new contract ... I'm a ... it as much as possible and that our students are getting what they need and get involved in a cluster that began after the act are a Marius Telenor Carol and thanks much for sharing your stories devise a lot of parents out there says the harder ... so much more in your


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Remember This Seminar - Alzheimer's Disease: What does age have to do with it?
Alzheimer's Disease: What does age have to do with it?
Marie A. Bernard, MD,
Marie A. Bernard, MD serves as Deputy Director of the National Institute on Aging (NIA) at the National Institutes of Health. As NIA's senior geriatrician, she serves as the principal advisor to the NIA director, working closely with the director in overseeing approximately $2 billion in aging research conducted and supported annually by the Institute. She co-chairs two Department of Health and Human Services Healthy People 2020 objectives: 1) Older Adults and 2) Dementias, including Alzheimer's Disease. Within NIH she co-chairs the Inclusion Governance Committee of the Extramural Activities Working Group, and co-chairs the Women of Color Committee of the trans-NIH Women in Biomedical Careers Working Group.
She received her undergraduate education at Bryn Mawr College and her MD from University of Pennsylvania. She trained in internal medicine at Temple University Hospital in Philadelphia, PA, where she also served as chief resident. She has received additional training through the AAMC Health Services Research Institute, the Geriatric Education Center of Pennsylvania, and the Wharton School Executive Development program.
A light supper is available at 5:30 p.m. The program begins at 6:00 p.m. This event is sponsored by the Hurwitz Lecture Fund.
Wednesday, November 29, 2017


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Crush46 needed a new logo design and created a contest on 99designs.
A winner was selected from 40 designs submitted by 9 freelance designers.
We need a podcast logo for our new podcast topics.
Company Name: Outsourcing My Small Business.com
Outsourcing My Small Business
In more detail this is the company logo you'll see when you click on a podcast in iTunes. Its the artwork. Our company is mainly just informative right now (podcasts, small documents, information) and outsourcing is in the title so we obviously have to outsource the design of the company logo :)
- Outsourcing My Small BusinessBusiness/Professional scheme/style is preferred, but not picky.
- NOT ALL CAPSNot a lot of noise with it or vibrant glowing colors that would be hard on the eyes.
Find out how a design contest works or learn more about our logo design services.