CTNF 19/003,617 CTNF 87874 DETAILED ACTION This action is in response to application 19/003,617 filed on 12/27/2024. Notice of Pre-AIA or AIA Status 07-03-aia AIA 15-10-aia The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA. Double Patenting 08-33 AIA 3. The nonstatutory double patenting rejection is based on a judicially created doctrine grounded in public policy (a policy reflected in the statute) so as to prevent the unjustified or improper timewise extension of the “right to exclude” granted by a patent and to prevent possible harassment by multiple assignees. A nonstatutory obviousness-type double patenting rejection is appropriate where the conflicting claims are not identical, but at least one examined application claim is not patentably distinct from the reference claim(s) because the examined application claim is either anticipated by, or would have been obvious over, the reference claim(s). See, e.g., In re Berg , 140 F.3d 1428, 46 USPQ2d 1226 (Fed. Cir. 1998); In re Goodman , 11 F.3d 1046, 29 USPQ2d 2010 (Fed. Cir. 1993); In re Longi , 759 F.2d 887, 225 USPQ 645 (Fed. Cir. 1985); In re Van Ornum , 686 F.2d 937, 214 USPQ 761 (CCPA 1982); In re Vogel , 422 F.2d 438, 164 USPQ 619 (CCPA 1970); and In re Thorington , 418 F.2d 528, 163 USPQ 644 (CCPA 1969). A timely filed terminal disclaimer in compliance with 37 CFR 1.321(c) or 1.321(d) may be used to overcome an actual or provisional rejection based on a nonstatutory double patenting ground provided the conflicting application or patent either is shown to be commonly owned with this application, or claims an invention made as a result of activities undertaken within the scope of a joint research agreement. Effective January 1, 1994, a registered attorney or agent of record may sign a terminal disclaimer. A terminal disclaimer signed by the assignee must fully comply with 37 CFR 3.73(b). 08-36 AIA 4. Claim s 1-20 are rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over claim s 1-20 of U.S. Patent No. 12,225,197 B2 in view of Sugio et al. (US Pub. No.: 2022/0108489 A1) . Furthermore, although the conflicting claims at issue are not identical, they are not patentably distinct from each other because U.S. Patent No.: 12,225,197 B2 claims: Instant Application: 19/003,617 Note: bold and underlined fonts means same features between instant application and conflicting appl . Conflicting Application: 18/126,082 → now US Patent No.: 12,225,197 B2 Claim [1]: A method for point cloud encoding , performed by an encoder, comprising: partitioning a point cloud, and determining a current coding block ; determining a quantization parameter optimization enable identifier, a hierarchical level index, and a quantization parameter offset parameter of the current coding block ; determining, according to the hierarchical level index and the quantization parameter offset parameter, a quantization step Qstep corresponding to a level of detail (LOD) ; and upon detecting that the quantization parameter optimization enable identifier is a first value, performing the following operations for one or more points included in the current coding block : determining an LOD i where a currently processed point P i is located; predicting the point P i according to the LOD i to obtain a prediction value of the point P i ; determining a quantization step Qstep i which is adaptive to the LOD i ; determining, according to the prediction value of the point P i and an original value of the point P i , a residual of the point P i ; quantizing the residual of the point P i according to the quantization step Qstep i to obtain a quantized residual of the point P i ; and encoding and signalling the quantization parameter optimization enable identifier . Claim [1]: A method for point cloud encoding, comprising: partitioning a point cloud, and determining a current coding block ; determining a quantization parameter optimization enable identifier, a hierarchical level index, and a quantization parameter offset parameter of the current coding block ; determining, according to the hierarchical level index and the quantization parameter offset parameter, a quantization step Qstep corresponding to a level of detail (LOD) ; and upon detecting that the quantization parameter optimization enable identifier is a first value, performing the following operations for one or more points included in the current coding block ; determining an LOD i where a currently processed point P i is located; predicting the point P i according to the LOD i to obtain a prediction value of the point P i ; determining a quantization step Qstep i which is adaptive to the LOD i ; determining, according to the prediction value of the point P i and an original value of the point P i , a residual of the point P i ; quantizing the residual of the point P i according to the quantization step Qstep i to obtain a quantized residual of the point P i ; and encoding and signalling the quantization parameter optimization enable identifier . Claim [2]: The method of claim 1, wherein the determining a quantization parameter optimization enable identifier, a hierarchical level index, and a quantization parameter offset parameter of the current coding block comprises: acquiring coding parameters of the current coding block; and determining the quantization parameter optimization enable identifier, the hierarchical level index, and the quantization parameter offset parameter in the coding parameters . Claim [2]: The method of claim 1, wherein the determining a quantization parameter optimization enable identifier, a hierarchical level index, and a quantization parameter offset parameter of the current coding block comprises: acquiring coding parameters of the current coding block; and determining the quantization parameter optimization enable identifier, the hierarchical level index, and the quantization parameter offset parameter in the coding parameters . Claim [3]: The method of claim 1, wherein the bitstream comprises a bitstream of parameter set, wherein the parameter set is used for decoding data of one or more point clouds at different times, the data is attribute data; and the parameter set is an attribute parameter set . Claim [3]: The method of claim 1, wherein the bitstream comprises a bitstream of parameter set, wherein the parameter set is used for decoding data of one or more point clouds at different times, the data is attribute data; and the parameter set is an attribute parameter set . Claim [4]: The method of claim 1, wherein the determining a quantization step Qstep i which is adaptive to the LOD i comprises: querying a quantization step lookup table according to a hierarchical level index of the LOD i to determine the quantization step Qstep i corresponding to the LOD i , wherein the quantization step lookup table comprises a corresponding relationship between LODs and quantization step Qsteps . Claim [4]: The method of claim 1, wherein the determining a quantization step Qstep i which is adaptive to the LOD i comprises: querying a quantization step lookup table according to a hierarchical level index of the LOD i to determine the quantization step Qstep i corresponding to the LOD i , wherein the quantization step lookup table comprises a corresponding relationship between LODs and quantization step Qsteps . Claim [5]: The method of claim 1, wherein the determining, according to the hierarchical level index and the quantization parameter offset parameter, a quantization step Qstep i corresponding to the LOD i comprises: determining a quantization parameter Qp i ; determining, according to the hierarchical level index and the quantization parameter offset parameter, a quantization parameter offset of each LOD i ; and determining, according to the quantization parameter Qp i and the quantization parameter offset of each LOD i , a quantization step Qstep i corresponding to each LOD i . Claim [6]: The method of claim 1, wherein the determining, according to the hierarchical level index and the quantization parameter offset parameter, a quantization step Qstep i corresponding to the LOD i comprises: determining a quantization parameter Qp i ; determining, according to the hierarchical level index and the quantization parameter offset parameter, a quantization parameter offset of each LOD i ; and determining, according to the quantization parameter Qp i and the quantization parameter offset of each LOD i , a quantization step Qstep i corresponding to each LOD i . Claim [6]: The method of claim 5, wherein the determining, according to the hierarchical level index and the quantization parameter offset parameter, a quantization parameter offset of each LOD i comprises: determining whether a currently processed LOD belongs to a level range restrained by the hierarchical level index, wherein the level range comprises first N levels of a plurality of LODs, and N is a positive integer less than or equal to a first threshold value; if yes, determining a value j of the quantization parameter offset of the currently processed LOD according to the quantization parameter offset parameter, wherein j is an integer greater than 0 and less than or equal to a second threshold value; and if not, determining the value of the quantization parameter offset of the currently processed LOD as 0 . Claim [7]: The method of claim 6, wherein the determining, according to the hierarchical level index and the quantization parameter offset parameter, a quantization parameter offset of each LOD i comprises: determining whether a currently processed LOD belongs to a level range restrained by the hierarchical level index, wherein the level range comprises first N levels of a plurality of LODs, and N is a positive integer less than or equal to a first threshold value; if yes, determining a value j of the quantization parameter offset of the currently processed LOD according to the quantization parameter offset parameter, wherein j is an integer greater than 0 and less than or equal to a second threshold value; and if not, determining the value of the quantization parameter offset of the currently processed LOD as 0 . Claim [7]: The method of claim 6, wherein when the quantization parameter Qp i is greater than or equal to a third threshold value, then j is a first preset value; and when the quantization parameter Qp i is less than the third threshold value, then j is a second preset value . Claim [8]: The method of claim 7, wherein when the quantization parameter Qp i is greater than or equal to a third threshold value, then j is a first preset value; and when the quantization parameter Qp i is less than the third threshold value, then j is a second preset value . Claim [8]: The method of claim 4, wherein the determining, according to the hierarchical level index and the quantization parameter offset parameter, a quantization parameter offset of the LOD comprises: determining, according to a hierarchical level index corresponding to a level combination which a currently processed LOD is in, a hierarchical level index of the currently processed LOD; and querying, according to the hierarchical level index of the currently processed LOD, the quantization parameter offset parameter to determine a quantization parameter offset corresponding to the quantization parameter offset parameter . Claim [5]: The method of claim 4, wherein the determining, according to the hierarchical level index and the quantization parameter offset parameter, a quantization parameter offset of the LOD comprises: determining, according to a hierarchical level index corresponding to a level combination which a currently processed LOD is in, a hierarchical level index of the currently processed LOD; and querying, according to the hierarchical level index of the currently processed LOD, the quantization parameter offset parameter to determine a quantization parameter offset corresponding to the quantization parameter offset parameter . Claim [9 ]: A method for point cloud decoding , performed by a decoder, comprising: performing the following operations for one or more points included in a current coding block: determining an LOD i where a currently processed point P i is located; predicting the point P i according to the LOD i to obtain a prediction value of the point P i ; determining a quantization step Qstep i which is adaptive to the LOD i , comprising: determining the quantization step Qstep i which is adaptive to the LOD i according to a hierarchical level index and quantization parameter offset parameter corresponding to the current coding block; determining a quantized residual of the point P i ; performing inverse quantization on the quantized residual of the point P i according to the quantization step Qstep i to obtain a reconstructed residual of the point P i ; and determining a reconstructed value of the point P i according to the reconstructed residual of the point P i and the prediction value of the point P i . Claim [9]: A method for point cloud decoding, comprising : performing the following operations for one or more points included in a current coding block: determining an LOD i where a currently processed point P i is located; predicting the point P i according to the LOD i to obtain a prediction value of the point P i ; determining a quantization step Qstep i which is adaptive to the LOD i , comprising: determining the quantization step Qstep i which is adaptive to the LOD i according to a hierarchical level index and quantization parameter offset parameter corresponding to the current coding block; determining a quantized residual of the point P i ; performing inverse quantization on the quantized residual of the point P i according to the quantization step Qstep; to obtain a reconstructed residual of the point P i ; and determining a reconstructed value of the point P i according to the reconstructed residual of the point P i and the prediction value of the point P i . Claim [10]: The method of claim 9, wherein before determining the quantization step Qstep i which is adaptive to the LOD i according to the hierarchical level index and quantization parameter offset parameter corresponding to the current coding block, further comprising: determining a value of a quantization parameter optimization enable identifier of the current coding block; if the value of the quantization parameter optimization enable identifier is a first value, determining the hierarchical level index and the quantization parameter offset parameter corresponding to the current coding block; and determining a quantization step Qstep corresponding to the LOD according to the hierarchical level index and the quantization parameter offset parameter . Claim [10]: The method of claim 9, wherein before determining the quantization step Qstep i which is adaptive to the LOD i according to the hierarchical level index and quantization parameter offset parameter corresponding to the current coding block, further comprising: determining a value of a quantization parameter optimization enable identifier of the current coding block; if the value of the quantization parameter optimization enable identifier is a first value, determining the hierarchical level index and the quantization parameter offset parameter corresponding to the current coding block; and determining a quantization step Qstep corresponding to the LOD according to the hierarchical level index and the quantization parameter offset parameter . Claim [11]: The method of claim 10, wherein the determining a value of a quantization parameter optimization enable identifier of the current coding block comprises: parsing a bitstream, and determining the value of the quantization parameter optimization enable identifier in a parameter set of the current coding block . Claim [11]: The method of claim 10, wherein the determining a value of a quantization parameter optimization enable identifier of the current coding block comprises: parsing a bitstream, and determining the value of the quantization parameter optimization enable identifier in a parameter set of the current coding block . Claim [12]: The method of claim 11, wherein the parameter set is an attribute parameter set, wherein the determining the hierarchical level index and the quantization parameter offset parameter of the current coding block comprises: determining the hierarchical level index and the quantization parameter offset parameter in the attribute parameter set . Claim [12]: The method of claim 11, wherein the parameter set is an attribute parameter set, wherein the determining the hierarchical level index and the quantization parameter offset parameter of the current coding block comprises: determining the hierarchical level index and the quantization parameter offset parameter in the attribute parameter set . Claim [13]: The method of claim 9, wherein the determining a quantization step Qstep i which is adaptive to the LOD i comprises: querying a quantization step lookup table according to the hierarchical level index of the LOD i to determine the quantization step Qstep i corresponding to the LOD i , wherein the quantization step lookup table comprises a corresponding relationship between LODs and quantization step Qsteps . Claim [13]: The method of claim 9, wherein the determining a quantization step Qstep i which is adaptive to the LOD i comprises: querying a quantization step lookup table according to the hierarchical level index of the LOD i to determine the quantization step Qstep i corresponding to the LOD i , wherein the quantization step lookup table comprises a corresponding relationship between LODs and quantization step Qsteps . Claim [14]: The method of claim 9, wherein the determining a quantization step Qstep i corresponding to the LOD i according to the hierarchical level index and the quantization parameter offset parameter comprises: determining a quantization parameter Qp i ; determining a quantization parameter offset of each LOD i according to the hierarchical level index and the quantization parameter offset parameter; and determining a quantization step Qstep i corresponding to each LOD i according to the quantization parameter Qp i and the quantization parameter offset of each LOD i . Claim [14]: The method of claim 9, wherein the determining a quantization step Qstep; corresponding to the LOD i according to the hierarchical level index and the quantization parameter offset parameter comprises: determining a quantization parameter Qp i ; determining a quantization parameter offset of each LOD i according to the hierarchical level index and the quantization parameter offset parameter; and determining a quantization step Qstep i corresponding to each LOD i according to the quantization parameter Qp i and the quantization parameter offset of each LOD i . Claim [15]: The method of claim 14, wherein the determining a quantization parameter offset of each LOD i according to the hierarchical level index and the quantization parameter offset parameter comprises: determining whether a currently processed LOD belongs to a level range restrained by the hierarchical level index, wherein the level range comprises first N levels of a plurality of LODs, and N is a positive integer less than or equal to a first threshold value; if yes, determining a value j of the quantization parameter offset of the currently processed LOD according to the quantization parameter offset parameter, wherein j is an integer greater than 0 and less than or equal to a second threshold value; and if not, determining the value of the quantization parameter offset of the currently processed LOD as 0 . Claim [15]: The method of claim 14, wherein the determining a quantization parameter offset of each LOD i according to the hierarchical level index and the quantization parameter offset parameter comprises: determining whether a currently processed LOD belongs to a level range restrained by the hierarchical level index, wherein the level range comprises first N levels of a plurality of LODs, and N is a positive integer less than or equal to a first threshold value; if yes, determining a value j of the quantization parameter offset of the currently processed LOD according to the quantization parameter offset parameter, wherein j is an integer greater than 0 and less than or equal to a second threshold value; and if not, determining the value of the quantization parameter offset of the currently processed LOD as 0 . Claim [16]: The method of claim 15, wherein when the quantization parameter Qp i is greater than or equal to a third threshold value, then j is a first preset value; and when the quantization parameter Qp i is less than the third threshold value, then j is a second preset value . Claim [16]: The method of claim 15, wherein when the quantization parameter Qp i is greater than or equal to a third threshold value, then j is a first preset value; and when the quantization parameter Qp i is less than the third threshold value, then j is a second preset value . Claim [17]: The method of claim 14, wherein the determining a quantization parameter offset of each LOD according to the hierarchical level index and the quantization parameter offset parameter comprises: determining, according to a hierarchical level index corresponding to a level combination which a currently processed LOD is in, a hierarchical level index of the currently processed LOD; and querying, according to the hierarchical level index of the currently processed LOD, the quantization parameter offset parameter to determine a quantization parameter offset corresponding to the quantization parameter offset parameter . Claim [17]: The method of claim 14, wherein the determining a quantization parameter offset of each LOD according to the hierarchical level index and the quantization parameter offset parameter comprises: determining, according to a hierarchical level index corresponding to a level combination which a currently processed LOD is in, a hierarchical level index of the currently processed LOD; and querying, according to the hierarchical level index of the currently processed LOD, the quantization parameter offset parameter to determine a quantization parameter offset corresponding to the quantization parameter offset parameter . Claim [18]: A decoder, comprising a non-transitory storage medium and a central processing unit, wherein the non-transitory storage medium stores a program that is executable by the central processing unit; the central processing unit is connected to the non-transitory storage medium; and when the central processing unit executes the program , the decoder performs a method for point cloud decoding comprising : performing the following operations for one or more points included in a current coding block; determining an LOD i where a currently processed point P i is located; predicting the point P i according to the LOD i to obtain a prediction value of the point P i ; determining a quantization step Qstep i which is adaptive to the LOD i , comprising: determining the quantization step Qstep i which is adaptive to the LOD i according to a hierarchical level index and quantization parameter offset parameter corresponding to the current coding block; determining a quantized residual of the point P i ; performing inverse quantization on the quantized residual of the point P i according to the quantization step Qstep i to obtain a reconstructed residual of the point P i ; and determining a reconstructed value of the point P i according to the reconstructed residual of the point P i and the prediction value of the point P i . Claim [18]: A decoder, comprising a non-volatile storage medium and a central processing unit, wherein the non-volatile storage medium stores an executable program ; the central processing unit is connected to the non-volatile storage medium; and when the central processing unit executes the executable program , the decoder performs a method for point cloud decoding comprising : performing the following operations for one or more points included in a current coding block; determining an LOD i where a currently processed point P i is located; predicting the point P i according to the LOD i to obtain a prediction value of the point P i ; determining a quantization step Qstep i which is adaptive to the LOD i , comprising: determining the quantization step Qstep i which is adaptive to the LOD i according to a hierarchical level index and quantization parameter offset parameter corresponding to the current coding block; determining a quantized residual of the point P i ; performing inverse quantization on the quantized residual of the point P i according to the quantization step Qstep i to obtain a reconstructed residual of the point P i ; and determining a reconstructed value of the point P i according to the reconstructed residual of the point P i and the prediction value of the point P i . Claim [19]: The decoder of claim 18, wherein before determining the quantization step Qstep i which is adaptive to the LOD i according to the hierarchical level index and quantization parameter offset parameter corresponding to the current coding block, the decoder further performs: determining a value of a quantization parameter optimization enable identifier of the current coding block; if the value of the quantization parameter optimization enable identifier is a first value, determining the hierarchical level index and the quantization parameter offset parameter corresponding to the current coding block; and determining a quantization step Qstep corresponding to the LOD according to the hierarchical level index and the quantization parameter offset parameter . Claim [19]: The decoder of claim 18, wherein before determining the quantization step Qstep i which is adaptive to the LOD i according to the hierarchical level index and quantization parameter offset parameter corresponding to the current coding block, the decoder further performs: determining a value of a quantization parameter optimization enable identifier of the current coding block; if the value of the quantization parameter optimization enable identifier is a first value, determining the hierarchical level index and the quantization parameter offset parameter corresponding to the current coding block; and determining a quantization step Qstep corresponding to the LOD according to the hierarchical level index and the quantization parameter offset parameter . Claim [20]: The decoder of claim 19, wherein the determining a value of a quantization parameter optimization enable identifier of the current coding block comprises: parsing a bitstream, and determining the value of the quantization parameter optimization enable identifier in a parameter set of the current coding block . Claim [20]: The decoder of claim 19, wherein the determining a value of a quantization parameter optimization enable identifier of the current coding block comprises: parsing a bitstream, and determining the value of the quantization parameter optimization enable identifier in a parameter set of the current coding block . However, examiner notes that Sugio et al. (US Pub. No.: 2022/0108489 A1) teaches the unique limitations in the instant application regarding Sugio discloses a method for point cloud encoding (see fig. 41, paragraph [0154) and decoding (see paragraph [0159), and a decoder (see fig. 42), comprising: partitioning a point cloud (see paragraph [0631), and determining a current coding block (see fig. 1, paragraph [0945]); a hierarchical level index (see fig. 99); a quantization parameter offset (see fig. 82 unit S7019); a quantization step Qstep (see fig. 44); determining an LOD i where a currently processed point P i is located (see fig. 66); predicting the point P according to the LOD i to obtain a prediction value of the point P i (see paragraph [0414]); and quantizing the residual of the point P i (see paragraph [0753]). Therefore, it would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains could recognize the advantage of providing a point cloud coding method, point cloud decoding method, and relevant apparatuses by modifying Yuan’s teachings in the present US Patent No.: 12,225,197 B2 for the purpose of determining the quantization step Qstep i which is adaptive to the LOD i according to a hierarchical level index and quantization parameter offset parameter corresponding to the current coding block, thereby improving compression efficiency . Allowable Subject Matter 13-03-01 AIA 5. The following is a statement of reasons for the indication of allowable subject matter: Claims 1-20 of the instant application would be allowable provided obviousness type double patenting rejection above is overcome . Conclusion 07-96 AIA 6. The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Iguchi et al. (US Pub. No.: 2023/0118907A1) discloses three-dimensional data encoding method, three-dimensional data decoding method, three-dimensional data encoding device, and three-dimensional decoding device. Park et al. (US Pub. No.: 2022/0343548 A1) discloses point cloud data transmission device, point cloud data transmission method, point cloud data reception device, and point cloud data reception method. Ramasubramonian et al. (US Pub. No.: 2021/0409714 A1) discloses scale factor for quantization parameter values in geometry-based point cloud compression . 7. Any inquiry concerning this communication or earlier communications from the examiner should be directed to Richard Carter whose telephone number is (571)270-1220. The examiner can normally be reached on M-F 8:30 am - 5:00 pm. 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If you would like assistance from a USPTO Customer Service Representative or access to the automated information system, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /R.B.C/Examiner, Art Unit 2485 /JAYANTI K PATEL/Supervisory Patent Examiner, Art Unit 2485 June 10, 2026 Application/Control Number: 19/003,617 Page 2 Art Unit: 2485 Application/Control Number: 19/003,617 Page 3 Art Unit: 2485 Application/Control Number: 19/003,617 Page 4 Art Unit: 2485 Application/Control Number: 19/003,617 Page 5 Art Unit: 2485 Application/Control Number: 19/003,617 Page 6 Art Unit: 2485 Application/Control Number: 19/003,617 Page 7 Art Unit: 2485 Application/Control Number: 19/003,617 Page 8 Art Unit: 2485 Application/Control Number: 19/003,617 Page 9 Art Unit: 2485 Application/Control Number: 19/003,617 Page 10 Art Unit: 2485 Application/Control Number: 19/003,617 Page 11 Art Unit: 2485 Application/Control Number: 19/003,617 Page 12 Art Unit: 2485 Application/Control Number: 19/003,617 Page 13 Art Unit: 2485 Application/Control Number: 19/003,617 Page 14 Art Unit: 2485 Application/Control Number: 19/003,617 Page 15 Art Unit: 2485 Application/Control Number: 19/003,617 Page 16 Art Unit: 2485 Application/Control Number: 19/003,617 Page 17 Art Unit: 2485 Application/Control Number: 19/003,617 Page 18 Art Unit: 2485 Application/Control Number: 19/003,617 Page 19 Art Unit: 2485 Application/Control Number: 19/003,617 Page 20 Art Unit: 2485 Application/Control Number: 19/003,617 Page 21 Art Unit: 2485 Application/Control Number: 19/003,617 Page 22 Art Unit: 2485 Application/Control Number: 19/003,617 Page 23 Art Unit: 2485 Application/Control Number: 19/003,617 Page 24 Art Unit: 2485 Application/Control Number: 19/003,617 Page 25 Art Unit: 2485 Application/Control Number: 19/003,617 Page 26 Art Unit: 2485 Application/Control Number: 19/003,617 Page 27 Art Unit: 2485 Application/Control Number: 19/003,617 Page 28 Art Unit: 2485 Application/Control Number: 19/003,617 Page 29 Art Unit: 2485 Application/Control Number: 19/003,617 Page 30 Art Unit: 2485 Application/Control Number: 19/003,617 Page 31 Art Unit: 2485 Application/Control Number: 19/003,617 Page 32 Art Unit: 2485 Application/Control Number: 19/003,617 Page 33 Art Unit: 2485 Application/Control Number: 19/003,617 Page 34 Art Unit: 2485
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