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`Fl"”9
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`2005-12-01
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`E.)°°kel .N”mber
`(If applicable)
`
`P3977C|P
`
`A”.
`Unit
`
`2176
`
`Flrst Named Ramakrishna Satyavolu
`Inventor
`
`Examlner
`Name
`
`Maikhanh Nguyen
`
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`
`IN THE UNITED STATES PATENT AND TRADEMARK OFFICE
`
`Art Unit: 2176
`
`Examiner: Nguyen, Maikhanh
`
`In Re:
`Case:
`
`Ramakrishna Satyavolu
`P3977CIP
`
`Serial No.:
`Filed:
`
`11/293,350
`12/01/2005
`
`Subject:
`
`Categorization of Summarized Information
`
`Commissioner for Patent
`
`PO Box 1450
`
`Alexandria, VA 22313-1450
`
`Dear Sir:
`
`Response F
`
`

`
`In the claims:
`
`All of the claims standing for examination are presented below with appropriate status
`
`indication.
`
`1. (Currently amended) A system tangibly embodied on a computer-readable medium for
`
`sortin and re ortin transaction information, comprising;
`
`a collection function
`
`navigating to and retrieving
`
`transaction information associated with a specific person or enterprise from third-party
`
`Internet-connected web sites , the transaction information
`
`including at least date, description and amount of the transactions
`
` ; and
`
`an input function enabling a client to provide to the system a reguest for a
`
`summary of transactions over a specific range of dates, according to a definition of
`
`purpose of transaction;
`
`a processing function parsing the collected transaction descriptions for purpose,
`
`using pre-stored description characteristics associated with purpose, and summarizing
`
`those transactions that meet the purpose and fall into the date range eategorizing
`
`
`
`description; and
`
`a reporting function for providing the summarized transactions to the specific
`
`person or enterprise
`
`
`
`2. (Currently amended) The system of claim l wherein the reporting function provides a
`
`total transaction expenditure amount with the summarized transactions further
`
`
`
`

`
`3-4. (Cancelled)
`
`5. (Currently amended) The system of claim 1 wherein
`
`a summary
`
`is provided for a first plurality of persons or enterprises subscribing to the system
`
`according to e% reguests entered by a second plurality of persons or
`
`enterprises subscribing to the system.
`
`6. (Currently amended) The system of claim 1 wherein categories description
`
`characteristics are developed from information taken from communication between
`
`clients and the system.
`
`7. (Currently amended) The system of claim 6 wherein a probability algorithm is used in
`
`developing categories description characteristics.
`
`8. (Currently amended) The system of claim 1 wherein
`
`description characteristics are periodically amended according to further information that
`
`is collected and processed.
`
`9. (Canceled)
`
`10. (Previously presented) The system of claim 1 wherein the system reports to clients
`
`through the Internet network.
`
`ll. (Original) The system of claim 2 wherein the system further comprises a function
`
`storing past transaction history associated with the particular person or enterprise.
`
`12. (Previously presented) The system of claim ll wherein the past transaction history is
`
`used to predict future transaction statistical information.
`
`

`
`-4-
`
`13. (Currently amended) A method for eategorizing sorting and reporting transaction
`
`information transactions using proprietary software tangibly embodied on a computer-
`
`readable medium, comprising:
`
`(a) automatically navigating to and retrieving transaction information associated
`
`with a specific person or entepprise from third-party Intemet-connected web sites and
`
`gathering information concerning transactions by a collection function of the software
`
`
`
` said information including at least date, description and
`
`amount of the transactions;
`
`(b) reguesting a summapv_ of transactions by a client via an input function of the
`
`software over a specific range of dates, according to a definition of pugpose of
`transactions‘
`
`(c) parsing the collected transaction descriptions for pugpose, via a processing
`
`function of the software using pre-stored description characteristics associated with
`
`puppose, and summarizing those transactions that meet the puppose and fall into the date
`
`
`
`(c) reporting the categorized summarized transactions to the particular person or
`
`enterprise by a reporting function.
`
`14. (Currently amended) The method of claim 13 wherein the reporting function provides
`
`a total transaction expenditure amount with the summarized transactions fart-her
`
`
`
`15-16. (Cancelled)
`
`17. (Currently amended) The method of claim 13 wherein
`
`a
`
`summapv_ is provided for a first plurality of persons or enterprises according to category
`
`definition entered by a second plurality of persons or enterprises.
`
`

`
`18. (Currently amended) The method of claim 13 wherein categories description
`
`characteristics are developed from information taken from communication between
`
`clients and the system.
`
`l9. (Currently amended) The method of claim l8 wherein a probability algorithm is used
`
`in developing description characteristics categories.
`
`20. (Currently amended) The method of claim 13 wherein
`
`description characteristics are periodically amended according to further information that
`
`is collected and processed.
`
`21. (Canceled)
`
`22. (Previously presented) The method of claim l3 wherein the system reports to clients
`
`through the Internet network.
`
`23. (Original) The method of claim l4 wherein the method further comprises a step for
`
`storing past transaction history associated with the particular person or enterprise.
`
`24. (Previously presented) The method of claim 23 wherein the past transaction history is
`
`used to predict future transaction statistical information.
`
`

`
`-6-
`
`Remarks
`
`The present Response is to the Office Action mailed 10/17/2008, made final.
`
`Claims 1-8, 10-14, 16-20 and 22-24 are presented for examination.
`
`Rejections - 35 USC § 102
`
`Claims 1-8, 10-14, 16-20, and 22-24 maintain rejected under 35 U.S.C. 102(e) as being
`
`anticipated by Kumar et al. (US 6859212, filed 04/06/2001).
`
`As to claim 1:
`
`Kumar teaches a system tangibly embodied on a computer-readable medium for
`
`categorizing transactions [see the Abstract and col. 5, lines 17- 48: itemized transaction],
`
`comprising:
`
`- a collection function gathering information concerning transactions, including at
`
`least date, description and amount of the transactions, for a particular person or
`
`enterprise [See Col. 14, lines 41-37; Col. 15, lines I-60: Agent 39 may be
`
`programmed to perform certain tasks such as obtaining account information,
`
`executing simple transactions, returning user—requested notification information
`
`about upcoming events]; and
`
`° a processing function categorizing individual ones of the collected transactions
`
`according to at least part of the transaction description [See the Abstract: a
`
`transaction module having a summary interface is provided as part of a software
`
`suite for enabling viewing and manipulation ofmultiple categories ofaggregated
`
`data compiledfrom a plurality of data sources and accessible through a single
`
`interfacing node operated on a data—packet—network. The transaction module
`
`comprises, an interactive main interface accessible through the summary
`
`interface, the main interface for listing new transactions related to registered
`
`financial accounts
`
`assigning categories to the listed transactions & Col. 38,
`
`line 18 - Col.39, line 17: These default categories are intelligent, in that
`
`

`
`-7-
`
`transactions are automatically categorized with an appropriate category as they
`
`occur and are entered under the appropriate category based on a user's prior
`
`categorization scheme When new transactions occur, they are automatically
`
`categorized according to user preference];
`
`wherein the collection function automatically retrieves the information concerning
`
`transactions from third-party Internet-connected web sites adapted to provide account
`
`information to the particular person or enterprise [See col. 6, lines 34-50; Col. 11, line 36-
`
`Col. 12, line l9; Col. 13, line 22- Col. 14, line 8; Col. 18, line 52- Col. 20, line 19: the
`
`interactive transaction—viewing interface is a personalize hyper—text markup language
`
`interface
`
`the remote node is a cellular phone
`
`a hand—held computer the
`
`categorical criteria for viewing transaction include account, timeframe, and by category
`
`includingfood and beverage, utilities, home, auto, charitable contribution, and
`
`entertainment is presentedfor ordering a graphic chart according to the selected
`
`criteria] .
`
`As to claim 2:
`
`Kumar teaches a compilation function summarizing transactions in individual categories
`
`[See the Abstract and Col. 1, lines 26-35: an interactive softwarefunctionality enabling
`
`management and transactional control including categorized viewing ofpersonal
`
`transaction data including account data maintained on behalfofusers by an entity
`
`providing data compilation, aggregation, and summary services].
`
`As to claim 3:
`
`Kumar teaches a reporting function reporting the summarizing transactions to the
`
`particular person or enterprise [See Col. ll, line 63 - Col. 12, line 20.‘ knowledge of
`
`specific WEB pages, and certain types of WEB pages, is highly desirable. In many
`
`embodiments characteristics ofdestination WEB pages are researched by persons
`
`facilitators) maintaining and enhancing Password—All Portal software 35, and many
`
`

`
`-8-
`
`characteristics may be provided in configuration modules for users to accomplish
`
`specific tasks
`
`task results including reports, and hard documents such as airline tickets
`
`may be sent over the Internet or other data packet—networks to user—defined destinations
`
`such as fax machines, connected computer nodes, e—mail servers, and other Internet-
`
`connected appliances].
`
`As to claim 4:
`
`Kumar teaches categorization is done according to category definitions entered by the
`
`particular person or on behalf of the enterprise [See Col. 15, lines 12-59: enable directive
`
`inputfrom both a client (user) and a knowledge worker or workers associated with the
`
`service
`
`a unique input scripting module 79 that is adapted to allow a human knowledge
`
`worker to create and supply directive scripts containing the site logic needed by gatherer
`
`67 to find and retrieve data from a WEB site].
`
`As to claim S:
`
`Kumar teaches categorization is done for a first plurality of persons or enterprises
`
`subscribing to the system according to category definition entered by a second plurality
`
`of persons or enterprises subscribing to the system [See Col. 20, lines 7-64: particular
`
`site associated with the request URLs
`
`then all site logics for those URLs are accessed
`
`retrieved at a schedule timefor performing the summary gathering].
`
`As to claim 6:
`
`Kumar teaches categories are developed from information taken from communication
`
`between clients and the system [See the Abstract; Col. 6, lines 22-50; and Col. 8, line 56-
`
`col.9, line 30.‘ a summary interface for enabling viewing and manipulation ofmultiple
`
`categories ofaggregated data
`
`a remote node having access to the data—packet
`
`network].
`
`As to claim 7:
`
`

`
`-9-
`
`Kumar teaches a probability algorithm is used in developing categories [See Col. 3, lines
`
`23- 44: a plurality ofreport algorithms matches the request to an individual one of the
`
`report algorithms. The data—gathering subsystem accesses plural Internet sites associated
`
`with the user and extracts raw data therefrom according to needs of the report algorithm.
`
`The report processor processes the raw data according to the report algorithm into meta-
`
`summarized information defined by the report algorithm, and the portal system transmits
`
`the meta—summarized information as a report to a destination associated with the report
`
`request].
`
`As to claim 8:
`
`Kumar teaches identifiers for categories are periodically amended according to further
`
`information that is collected and processed [See Col. 20, lines 31- col. 2], line 25:
`
`specified URLs for the purpose of gathering summary data].
`
`As to claim 10:
`
`Kumar teaches the system reports to clients through the Internet network [See Col. l4,
`
`lines 22- 57: Internet servers 23, 25, and 27 represent servers
`
`return certain summary
`
`information contained on user—subscribed WEB pages, such as account summaries, order
`
`tracking information and certain other information according to user—defined
`
`parameters].
`
`As to claim 11:
`
`Kumar teaches function storing past transaction history associated with the particular
`
`person or enterprise [See Col. 5, line 7 - col. 6, line 14: categorical viewing of transaction
`
`history
`
`by a specific account, a specified timefiame, and by a selected category.
`
`Additionally, the options are selectable for ordering combinations of criteria for
`
`producing a transaction view, wherein the transaction view comprises an ordered history
`
`view].
`
`

`
`As to claim 12:
`
`-10-
`
`Kumar teaches past transaction history is used to predict future transaction statistical
`
`information [See Col. 5, line 17 - Col. 6, line 21: history view].
`
`As to claim 13:
`
`Refer to the discussion of claim 1 above for rejection. Additionally, Kumar teaches
`
`automatically navigating to third-party Internet-connected web site [See Col. 2, lines 38-
`
`53; Col. ll, lines 12- 34; Col. 13, lines 22- Col. 14, line 40.‘ provide an automatic and
`
`transparent login function for the subscriber while jumping the subscriber to subject
`
`destination].
`
`As to claims 14, 16, 18,-20 and 22-24:
`
`Refer to the discussion of claims 2, 4, 6-8, and l0 -12 above, respectively, for rejections.
`
`As to claim 17:
`
`Kumar teaches categorization is done for a first plurality of person or enterprises to
`
`category definition entered by a second plurality of person or enterprises [See Col. 15,
`
`lines l2-59: enable directive inputfrom both a client (user) and a knowledge worker or
`
`workers associated with the service
`
`a unique input scripting module 79 that is adapted
`
`to allow a human knowledge worker to create and supply directive scripts containing the
`
`site logic needed by gatherer 67 to find and retrieve data firom a WEB site].
`
`Applicant’s response:
`
`Applicant herein amends the claims to more particularly point out the patentable
`
`subject matter of applicant’s invention not taught or suggested in the art of Kumar.
`
`Applicant’s independent claims, as amended, now recite an input function enabling a
`
`client to provide to the system a request for a summary of transactions over a specific
`
`range of dates, according to a definition of purpose of transaction; a processing function
`
`parsing the collected transaction descriptions for purpose, using pre-stored description
`
`

`
`-11-
`
`characteristics associated with purpose, and summarizing those transactions that meet the
`
`purpose and fall into the date range, and a reporting function for providing the
`
`summarized transactions to the specific person or enterprise
`
`Applicant argues that Kumar fails to teach or suggest summarizing transaction
`
`according to a definition of purpose as requested by a client. The art of Kumar also fails
`
`to teach or suggest pre-stored description characteristics associated with purpose. As
`
`admitted by the Examiner in the Response to Arguments portion of the present Office
`
`Action, Kumar teaches that a person or enterprise may manually categorize new
`
`transactions, then the system may recognize same transactions received in the future and
`
`categorize them automatically under the same category initially specified by the person or
`
`enterprise (Col. 38, line 18 - Col.39, line 17). The system of Kumar teaches that the
`
`recognition is performed by matching a description of the new, manually categorized
`
`description with future incoming transactions.
`
`Applicant provides a unique system with an ability to grow and improve the
`
`network summarization and reporting system. In one embodiment of applicant’s
`
`invention, a client may want to receive a summarized report for transactions for "eating
`
`out", for example, over a specific date range. These transactions will not all be for one
`
`enterprise, as in Kumar, but may cover a variety of restaurants. The client might profile a
`
`list of his usual haunts, but that might not be adequate for an efficient accomplishment of
`
`such a service, because the client may well visit new establishments that are not on the
`
`profiled list. In this case, and especially because the hosting enterprise may have a large
`
`number of clients to whom the system provides this service, other abilities are needed to
`
`make appropriate determinations.
`
`Beyond the simple case of a client providing the exact listing in "description"
`
`from account information that can be searched, the client of applicant’s invention may
`
`want summarization for "travel-related" expenditures. The host, in an embodiment, may
`
`compile, by a variety of methods, a robust set of identifiers to find travel-related
`
`expenditures for clients, and the identifiers need not be specific to any one client or small
`
`set of clients. For example, the host system, which relies on a software suite to
`
`

`
`-12-
`
`accomplish the regular scraping of information and the normalization, summarization and
`
`presentation of the information to clients, might develop a set of identifiers including
`
`terms and phrases like, "gas", "Chevron", "station" "oil", "lube service" and many more
`
`for the purpose as specified in the client’s request. If it is understood that the intent is
`
`broadly for travel-related expenditures, the system might include terms that can test and
`
`trap expenditures for airline tickets, meals far fiom home related to travel, and other such
`
`travel-related information.
`
`Applicant argues the art of Kumar is void of any teaching beyond a client
`
`specifying categories and descriptors for categorization and viewing a history of
`
`transactions. Column 40, lines 6-19 of Kumar provide a limiting teaching of a timeframe
`
`menu 327 enabling a user to select a history time period in graduated increments of YTD
`
`(Year to Date), this month, last 3 months, last 6 months, last 12 months, and all history.
`
`Furthermore, a user may, through pre-configuration, create specific and personalized
`
`timeframes for viewing transactional history.
`
`Applicant provides a system which is capable of summarizing and reporting
`
`transactions according to a date range and purpose specified by a client. In applicant’s
`
`system, the software actually defines descriptors which match a client specified purpose
`
`enabling valuable reports for a user or enterprise. This ability was not known in the art at
`
`the time of filing the present invention.
`
`Applicant’s claims as amended, provide a service which far surpasses the
`
`teachings of Kumar, as intentionally prepared and filed by the common assignee of the
`
`present invention and the art of Kumar. Therefore, claims 1 and 13, as amended, are
`
`easily patentable over the art of Kumar. Claims 3-4 and 15-16 are herein canceled.
`
`Claims 2, 5-8, 10-12, 14, 17-20, and 22-24 are patentable on their own merits, or at least
`
`as depended from a patentable claim.
`
`

`
`-13-
`
`Summary
`
`As all of the claims, as amended and argued above, have been shown to be
`
`patentable over the art presented by the Examiner, applicant respectfully requests
`
`reconsideration and the case be passed quickly to issue.
`
`If any fees are due beyond fees paid with this amendment, authorization is made
`
`to deduct those fees from deposit account 50-0534. If any time extension is needed
`
`beyond any extension requested with this amendment, such extension is hereby
`
`requested.
`
`Respectfully submitted,
`Ramakrishna Satyavolu
`
`By [.?)ana€d KR. 93%]
`Donald R. Boys
`Reg. No. 35,074
`
`Central Coast Patent Agency, Inc.
`3 Hangar Way, Suite D
`Watsonville CA 95076
`
`(831)768-1755
`
`

`
`(cid:16)(cid:20)(cid:23)(cid:16)
`
`Electronic Patent Application Fee Transmittal
`
`Title of Invention:
`
`Categorization of summarized information
`
`First Named Inventor/Applicant Name:
`
`Ramakrishna Satyavolu
`
`Attorney Docket Number:
`
`P3977C|P
`
`Utility under 35 USC111(a) Filing Fees
`
`Description
`
`Fee Code
`
`Quantity
`
`Sub-Total in
`
`USD($)
`
`
`
`

`
`Description
`
`Fee Code
`
`Quantity
`
`Sub-Total in
`
`USD($)
`
`405
`
`Total in USD ($)
`
`Miscellaneous:
`
`(cid:20)(cid:24)
`
`15
`
`

`
`Electronic Acknowledgement Receipt
`
`International Application Number:
`
`Title of Invention:
`
`Categorization of summarized information
`
`First Named Inventor/Applicant Name:
`
`Payment information:
`
`Payment Type
`
`Deposit Account
`
`Payment was successfully received in RAM
`
`RAM confirmation Number
`
`Deposit Account
`
`$405
`
`13288
`
`500534
`
`Auth°”zedUSer
`
`Part /.zip (if appl.)
`
`File Listing:
`
`Document
`Number
`
`Document Description
`
`File Size(Bytes)/
`Message Digest
`
`Multi
`
`Pages
`
`(cid:20)(cid:25)
`
`

`
`_
`_
`_
`Request for Continued Examination
`(RCE)
`
`sb0030e_fi||RCE.pdf
`
`f47cd1153015a0bf600d9c51c6fbd73b8663
`b3dd
`
`627028
`
`Amendment Submitted/Entered with
`Filing ofCPA/RCE
`
`4943Oar6 df
`"°
`
`147317
`
`f8820390397129f2bf77fcf55b0de21b1a7b
`7044
`
`Fee Worksheet (PTO-06)
`
`fee-info.pdf
`
`61 :61608c5a569740cd4e4a6aa5e2bad991
`cc11a
`
`Information:
`
`Information:
`
`Information:
`
`This Acknowledgement Receipt evidences receipt on the noted date by the USPTO ofthe indicated documents,
`characterized by the applicant, and including page counts, where applicable. It serves as evidence of receipt similar to a
`Post Card, as described in MPEP 503.
`
`New Applications Under 35 U.S.C. 111
`lfa new application is being filed and the application includes the necessary components for a filing date (see 37 CFR
`1.53(b)-(d) and MPEP 506), a Filing Receipt (37 CFR 1.54) will be issued in due course and the date shown on this
`Acknowledgement Receipt will establish the filing date of the application.
`
`National Stage of an International Application under 35 U.S.C. 371
`lfa timely submission to enter the national stage of an international application is compliant with the conditions of 35
`U.S.C. 371 and other applicable requirements a Form PCT/DO/E0/903 indicating acceptance of the application as a
`national stage submission under 35 U.S.C. 371 will be issued in addition to the Filing Receipt, in due course.
`
`New International Application Filed with the USPTO as a Receiving Office
`lfa new international application is being filed and the international application includes the necessary components for
`an international filing date (see PCT Article 11 and MPEP 1810), a Notification of the International Application Number
`and ofthe International Filing Date (Form PCT/R0/105) will be issued in due course, subject to prescriptions concerning
`national security, and the date shown on this Acknowledgement Receipt will establish the international filing date of
`the application.
`
`(cid:20)(cid:26)
`
`17
`
`

`
`PTO/SB/06 (O7-O6)
`Approved for use through 1/31/2007. OMB 0651-0032
`U.S. Patent and Trademark Office; U.S. DEPARTMENT OF COMMERCE
`Under the Paervvork Reduction Act of 1995, no ersons are reuired to resond to a collection of information unless it disla s a valid OMB control number.
`
`PATENT APPLICATION FEE DETERMINATION RECORD
`Substitute for Form PTO-875
`
`APP“°3“°“ °’ D°°"eI Number
`11/293,350
`
`F”I“9 Date
`12/01/2005
`
`I:I To be Mailed
`
`APPLICATION AS FILED — PART I
`
`0
`
`(Column 1)
`NUMBER FILED
`
`(Column 2)
`NUMBER EXTRA
`
`sIvIAI_I_ ENTITY |X|
`)
`FEE ($)
`RATE (33
`
`OTHER THAN
`
`OR
`
`SMALL ENTITY
`
`D BASIC FEE
`37CFR1.16a, b,or c
`
`El SEARCH FEE
`37 CFR 1.16 k, i,or m
`
`|:| EXAMINATION FEE
`(37 CFR1.16( ), (p), or (q))
`TOTAL CLAIMS
`37 CFR 1.16i
`INDEPENDENT CLAIMS
`37 CFR1.16 h
`
`DAPPLICATIONSIZEFEE
`(37 CFR Mas»
`
`N/A
`
`N/A
`
`N/A
`
`N/A
`
`N/A
`
`_
`,
`m'”“S 20‘
`,
`_
`”"”“S3‘
`If the Specification and drawings exceed 100
`h
`t
`f
`th
`I‘
`t'
`'
`f
`d
`"9
`is$‘§5%‘E$‘?Z2‘?E;is%ZI?%Iifi;§’?o?':§cfi“
`additional 50 Sheets or fraction thereof. See
`35 U.S.C. 41 a 1 G and 37 CFR 1.16 S.
`
`I:I MULTIPLE DEPENDENT CLAIM PRESENT (37 CFR1.16(j))
`* If the difference in column 1 is less than zero, enter“0“ in column 2.
`
`APPLICATION AS AMENDED — PART II
`
`(Column 1)
`CLAIMS
`REMAINING
`AFTER
`AMENDMENT
`
`01/20/2009
`
`1??‘
`Independent
`
`-
`Minus
`I:I Application Size Fee (37 CFR 1.16(s))
`
`(Column 3)
`
`PRESENT
`
`(Column 2)
`HIGHEST
`NUMBER
`PREVIOUSLY
`PAID FOR
`
`- 24
`
`D FIRST PRESENTATION OF MULTIPLE DEPENDENT CLAIM (37 CFR1.16(j))
`
`SMALL ENTITY
`
`OTHER THAN
`
`SMALL ENTITY
`
`RATE“)
`
`ADDITIONAL
`FEE ($)
`
`RATE ($)
`
`ADDITIONAL
`FEE W
`
`_
`
`XX 9999
`
`I-
`
`ZU
`
`JEDZU
`
`J E<
`
`(Column 1)
`CLAIMS
`REMAINING
`AFTER
`AMENDMENT
`H
`-
`,,
`2 MW -
`Minus
`
`HIGHEST
`NUMBER
`PREVIOUSLY
`PAID FOR
`
`PRESENT
`EXTRA
`
`Total (37 CFR
`
`37 CFR 1.16 I’)
`
`ADDITIONAL
`FEE ($)
`
`RATE ($)
`
`X $
`
`X $
`
`:
`
`=
`
`RATE ($)
`
`X 99
`
`:
`
`=
`
`ADDITIONAL
`FEE ($)
`
`D Application Size Fee (37 CFR 1.16(s))
`D FIRST PRESENTATION OF MULTIPLE DEPENDENT CLAIM (37 CFR1.16(j)) - OR
`OR
` TOTAL
`
`ADD‘L
`FEE
`
`AMENDMENT
`
`* If the entry in column 1 is less than the entry in column 2, write “0“ in column 3.
`** If the “Highest Number Previously Paid For“ IN THIS SPACE is less than 20, enter “20“.
`*** If the “Highest Number Previously Paid For“ IN THIS SPACE is less than 3, enter
`The “Highest Number Previously Paid For“ (Total or Independent) is the highest number found in the appropriate box in column 1.
`This collection of information is required by 37 CFR 1.16. The information is required to obtain or re

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