Hmm, that is strange! Anyways, I will create a local copy of palm_core for
this particular project.
Second question: Are the values inside every voxel of *_cca1.nii.gz can be
treated as effect size? Looks like no voxel passes FWE. I want to see if
there is any effect of these 3 modalities.
Thanks
-Virendra
On Thu, Aug 10, 2017 at 10:43 AM, Anderson M. Winkler <
[log in to unmask]> wrote:
> Hi Virendra,
>
> I cannot reproduce that error you received, even using same data and
> options. In any case, please don't use cell2mat. It may have worked in this
> case because of the specific inputs you have (that cell array has just one
> element, which is indeed a matrix) but that isn't a general solution. That
> error shouldn't appear anyway (it doesn't happen for me).
>
> All the best,
>
> Anderson
>
>
> On 10 August 2017 at 12:09, neuroimage analyst <
> [log in to unmask]> wrote:
>
>> Thanks I will do that and let you know how it goes.
>>
>> And my edits of dropping {o} and adding cell2mat to the lines in
>> palm_core were fine?
>>
>> Thanks
>>
>> Regards
>>
>> Virendra
>>
>> On Aug 10, 2017 7:59 AM, "Anderson M. Winkler" <[log in to unmask]>
>> wrote:
>>
>>> Hi Virendra,
>>>
>>> In palm_core.m, line 1144, where it reads:
>>>
>>> *if opts.MV*
>>>
>>>
>>> please replace for:
>>>
>>> *if opts.MV || opts.CCA*
>>>
>>>
>>> That should be it. The next release will have that fixed. Thanks!
>>>
>>> Also, you can drop C2. CCA will always rotate the axes to find the best
>>> (positive) correlation, so that can go away.
>>>
>>> All the best,
>>>
>>> Anderson
>>>
>>>
>>> On 10 August 2017 at 11:00, neuroimage analyst <
>>> [log in to unmask]> wrote:
>>>
>>>> Hi,Anderson
>>>>
>>>> Here is the log.
>>>>
>>>> It goes through till here only after I do the above mentioned change ,
>>>> meaning cell2mat and removing the {o}
>>>>
>>>> >> palm -i gm.nii.gz -i wm.nii.gz -i non_pv_corrected.nii.gz -m
>>>> MNI152_mask.nii -d PALM_CCA/Non_PV_Corrected/design.mat -t
>>>> PALM_CCA/Non_PV_Corrected/contrast.con -n 100 -mv CCA -corrmod
>>>> -corrcon -logp -demean -accel tail -noniiclass
>>>> -nouncorrected..............................................
>>>> .........................
>>>> =======================================================================
>>>> ___ ___ ___
>>>> / /\ / /\ /__/\
>>>> / /::\ / /::\ | |::\
>>>> / /:/\:\ / /:/\:\ ___ ___ | |:|:\
>>>> / /:/~/:/ / /:/~/::\ /__/\ / /\ __|__|:|\:\
>>>> /__/:/ /:/ /__/:/ /:/\:\ \ \:\ / /:/ /__/::::| \:\
>>>> \ \:\/:/ \ \:\/:/__\/ \ \:\ /:/ \ \:\~~\__\/
>>>> \ \::/ \ \::/ \ \:\/:/ \ \:\
>>>> \ \:\ \ \:\ \ \::/ \ \:\
>>>> \ \:\ \ \:\ \__\/ \ \:\
>>>> \__\/ \__\/ \__\/
>>>>
>>>> =======================================================================
>>>> Permutation Analysis of Linear Models
>>>> =======================================================================
>>>> Running PALM alpha108 using MATLAB 9.1.0.441655 (R2016b) with the
>>>> following options:
>>>> -i gm.nii.gz
>>>> -i wm.nii.gz
>>>> -i non_pv_corrected.nii.gz
>>>> -m MNI152_mask.nii
>>>> -d PALM_CCA/Non_PV_Corrected/design.mat
>>>> -t PALM_CCA/Non_PV_Corrected/contrast.con
>>>> -n 100
>>>> -mv CCA
>>>> -corrmod
>>>> -corrcon
>>>> -logp
>>>> -demean
>>>> -accel tail
>>>> -noniiclass
>>>> -nouncorrected
>>>> -savedof
>>>> -saveglm
>>>> -o PALM_CCA/Non_PV_Corrected/results
>>>> Reading input 1/3: gm.nii.gz
>>>> Reading input 2/3: wm.nii.gz
>>>> Reading input 3/3: non_pv_corrected.nii.gz
>>>> Reading design matrix and contrasts.
>>>> Elapsed time parsing inputs: ~ 49.4836 seconds.
>>>> Number of possible permutations is 1.08209e+27.
>>>> Generating 100 shufflings (permutations only).
>>>> Building null distribution.
>>>> Number of possible permutations is 1.08209e+27.
>>>> Generating 100 shufflings (permutations only).
>>>> Building null distribution.
>>>> Elapsed time with permutations: ~ 25120.2 seconds.
>>>> Computing p-values.
>>>> Saving p-values (uncorrected, and corrected within modality and within
>>>> contrast).
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_fwep_m1_c1
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_fwep_m1_c2
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_fwep_m2_c1
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_fwep_m2_c2
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_fwep_m3_c1
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_fwep_m3_c2
>>>> Saving p-values (corrected across modalities).
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_mfwep_m1_c1
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_mfwep_m2_c1
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_mfwep_m3_c1
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_mfwep_m1_c2
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_mfwep_m2_c2
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_mfwep_m3_c2
>>>> Saving p-values (corrected across contrasts).
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_cfwep_m1_c1
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_cfwep_m1_c2
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_cfwep_m2_c1
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_cfwep_m2_c2
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_cfwep_m3_c1
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_cfwep_m3_c2
>>>> Saving p-values (corrected across modalities and contrasts).
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_mcfwep_m1_c1
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_mcfwep_m1_c2
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_mcfwep_m2_c1
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_mcfwep_m2_c2
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_mcfwep_m3_c1
>>>> Saving file: PALM_CCA/Non_PV_Corrected/resu
>>>> lts_vox_tstat_mcfwep_m3_c2
>>>> Saving p-values for classical multivariate (uncorrected and corrected
>>>> within contrast).
>>>> Index exceeds matrix dimensions.
>>>>
>>>> Error in palm_competitive (line 113)
>>>> unsrtR(:,c) = single(srtR(rev(:,c),c)); % original order as the data
>>>>
>>>>
>>>> Error in palm_pareto (line 90)
>>>> [~,Gdist,Gcdf] = palm_competitive(Gdist,'ascend',true);
>>>>
>>>>
>>>> Error in palm_saveall (line 1349)
>>>> Ptosave =
>>>> palm_pareto(plm.Q{m}{c},plm.Qm
>>>> ax{m}{c},plm.mvrev{m}{c},opts.accel.tail_thr,opts.accel.G1out);
>>>>
>>>>
>>>> Error in palm_core (line 2484)
>>>> palm_saveall(plm,opts);
>>>>
>>>>
>>>> Error in palm (line 81)
>>>> palm_core(varargin{:});
>>>>
>>>> Looking forward to your reply.
>>>>
>>>> Thanks
>>>> Regards
>>>> Virendra
>>>>
>>>>
>>>> On Thu, Aug 10, 2017 at 6:26 AM, Anderson M. Winkler <
>>>> [log in to unmask]> wrote:
>>>>
>>>>> Hi Virendra,
>>>>>
>>>>> I don't seem to be able to replicate the issue. Could you show the
>>>>> full command line and the full output you receive in the screen?
>>>>>
>>>>> Thanks.
>>>>>
>>>>> All the best,
>>>>>
>>>>> Anderson
>>>>>
>>>>> On 10 August 2017 at 00:33, neuroimage analyst <
>>>>> [log in to unmask]> wrote:
>>>>>
>>>>>> Hi, Anderson
>>>>>>
>>>>>> I tried running the CCA in PALM using v108 but it complained about
>>>>>> line
>>>>>> saying "Reference to a cleared variable o"
>>>>>> *M = plm.Pset{p}*plm.Rz{y}{m}{c}{o}*plm.X{y}{m}{c}{o};*
>>>>>>
>>>>>> So I modified the line to:
>>>>>> *M = plm.Pset{p}*cell2mat(plm.Rz{y}{m}{c})*plm.X{y}{m}{c};*
>>>>>>
>>>>>> and it is running fine.The reason I had to convert cell 2 mat as cell
>>>>>> Matlab doesn't support cell multiplication.
>>>>>>
>>>>>> The script did not finish running as yet but it has produced
>>>>>> *_vox_cca_c1 and *_vox_cca_c2. These files are identical although c1 = 1 0
>>>>>> 0 ... and c2 = -1 0 0 ...
>>>>>>
>>>>>> Is this the expected behaviour? and whether the changes that I did in
>>>>>> those lines are correct?
>>>>>>
>>>>>> Thanks
>>>>>>
>>>>>> Regards
>>>>>>
>>>>>> Virendra
>>>>>>
>>>>>> On Wed, Aug 9, 2017 at 7:04 AM, Anderson M. Winkler <
>>>>>> [log in to unmask]> wrote:
>>>>>>
>>>>>>> Hi Virendra,
>>>>>>>
>>>>>>> Just one call. It won't change what you'd like to test: after
>>>>>>> removing EV2, and the mean-centering that is done internally when CCA is
>>>>>>> used, the EV1 will be coding group differences. The contrasts should then
>>>>>>> be:
>>>>>>>
>>>>>>> C1: [1 0 0 ...]
>>>>>>> C2: [-1 0 0 ...]
>>>>>>>
>>>>>>> That's it!
>>>>>>>
>>>>>>> All the best,
>>>>>>>
>>>>>>> Anderson
>>>>>>>
>>>>>>>
>>>>>>> On 9 August 2017 at 10:40, neuroimage analyst <
>>>>>>> [log in to unmask]> wrote:
>>>>>>>
>>>>>>>> Thank you Anderson
>>>>>>>>
>>>>>>>> So, should I then run CCA for the 2 groups separately in 2
>>>>>>>> different call to palm? How to set the contrast for 2 groups?
>>>>>>>>
>>>>>>>> Thanks
>>>>>>>>
>>>>>>>> Regards
>>>>>>>>
>>>>>>>> Virendra
>>>>>>>>
>>>>>>>>
>>>>>>>> On Aug 9, 2017 6:23 AM, "Anderson M. Winkler" <
>>>>>>>> [log in to unmask]> wrote:
>>>>>>>>
>>>>>>>>> Hi Virendra,
>>>>>>>>>
>>>>>>>>> I don't seem to be able to replicate the issue. Could you show the
>>>>>>>>> full command line and the full output you receive in the screen?
>>>>>>>>>
>>>>>>>>> Thanks.
>>>>>>>>>
>>>>>>>>> All the best,
>>>>>>>>>
>>>>>>>>> Anderson
>>>>>>>>>
>>>>>>>>> On 10 August 2017 at 00:33, neuroimage analyst <
>>>>>>>>> [log in to unmask]> wrote:
>>>>>>>>>
>>>>>>>>>> Hi, Anderson
>>>>>>>>>>
>>>>>>>>>> I tried running the CCA in PALM using v108 but it complained
>>>>>>>>>> about line
>>>>>>>>>> saying "Reference to a cleared variable o"
>>>>>>>>>> *M = plm.Pset{p}*plm.Rz{y}{m}{c}{o}*plm.X{y}{m}{c}{o};*
>>>>>>>>>>
>>>>>>>>>> So I modified the line to:
>>>>>>>>>> *M = plm.Pset{p}*cell2mat(plm.Rz{y}{m}{c})*plm.X{y}{m}{c};*
>>>>>>>>>>
>>>>>>>>>> and it is running fine.The reason I had to convert cell 2 mat as
>>>>>>>>>> cell Matlab doesn't support cell multiplication.
>>>>>>>>>>
>>>>>>>>>> The script did not finish running as yet but it has produced
>>>>>>>>>> *_vox_cca_c1 and *_vox_cca_c2. These files are identical although c1 = 1 0
>>>>>>>>>> 0 ... and c2 = -1 0 0 ...
>>>>>>>>>>
>>>>>>>>>> Is this the expected behaviour? and whether the changes that I
>>>>>>>>>> did in those lines are correct?
>>>>>>>>>>
>>>>>>>>>> Thanks
>>>>>>>>>>
>>>>>>>>>> Regards
>>>>>>>>>>
>>>>>>>>>> Virendra
>>>>>>>>>>
>>>>>>>>>> On Wed, Aug 9, 2017 at 7:04 AM, Anderson M. Winkler <
>>>>>>>>>> [log in to unmask]> wrote:
>>>>>>>>>>
>>>>>>>>>>> Hi Virendra,
>>>>>>>>>>>
>>>>>>>>>>> Just one call. It won't change what you'd like to test: after
>>>>>>>>>>> removing EV2, and the mean-centering that is done internally when CCA is
>>>>>>>>>>> used, the EV1 will be coding group differences. The contrasts should then
>>>>>>>>>>> be:
>>>>>>>>>>>
>>>>>>>>>>> C1: [1 0 0 ...]
>>>>>>>>>>> C2: [-1 0 0 ...]
>>>>>>>>>>>
>>>>>>>>>>> That's it!
>>>>>>>>>>>
>>>>>>>>>>> All the best,
>>>>>>>>>>>
>>>>>>>>>>> Anderson
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> On 9 August 2017 at 10:40, neuroimage analyst <
>>>>>>>>>>> [log in to unmask]> wrote:
>>>>>>>>>>>
>>>>>>>>>>>> Thank you Anderson
>>>>>>>>>>>>
>>>>>>>>>>>> So, should I then run CCA for the 2 groups separately in 2
>>>>>>>>>>>> different call to palm? How to set the contrast for 2 groups?
>>>>>>>>>>>>
>>>>>>>>>>>> Thanks
>>>>>>>>>>>>
>>>>>>>>>>>> Regards
>>>>>>>>>>>>
>>>>>>>>>>>> Virendra
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> On Aug 9, 2017 6:23 AM, "Anderson M. Winkler" <
>>>>>>>>>>>> [log in to unmask]> wrote:
>>>>>>>>>>>>
>>>>>>>>>>>>> Hi Virendra,
>>>>>>>>>>>>>
>>>>>>>>>>>>> Thanks for sending the files and for the patience.
>>>>>>>>>>>>>
>>>>>>>>>>>>> This error can be fixed by replacing, in line 2047 of
>>>>>>>>>>>>> palm_core.m, where it reads:
>>>>>>>>>>>>>
>>>>>>>>>>>>> *for t = find(yselq),*
>>>>>>>>>>>>>
>>>>>>>>>>>>>
>>>>>>>>>>>>> for the following:
>>>>>>>>>>>>>
>>>>>>>>>>>>> *for t = find(yselq)',*
>>>>>>>>>>>>>
>>>>>>>>>>>>>
>>>>>>>>>>>>> That is, an apostrophe was missing, which caused the variable
>>>>>>>>>>>>> t being not a row but a column, which on its turn changes the behaviour of
>>>>>>>>>>>>> the for-loop.
>>>>>>>>>>>>>
>>>>>>>>>>>>> In looking into this, it seems that there was also an issue
>>>>>>>>>>>>> with the intersection mask across modalities, which not being produced;
>>>>>>>>>>>>> this has now been fixed elsewhere in the code (it wouldn't affect your
>>>>>>>>>>>>> analysis, but could crash with different data). This has now been fixed
>>>>>>>>>>>>> too, in alpha108.
>>>>>>>>>>>>>
>>>>>>>>>>>>> A separate comment on your data: the design has one column for
>>>>>>>>>>>>> each of the two groups. This is generally fine, except for CCA, where we
>>>>>>>>>>>>> mean-center all columns, and then the design becomes rank deficient. To get
>>>>>>>>>>>>> around it, and avoid warning messages, just remove the 2nd column of your
>>>>>>>>>>>>> design matrix and also the corresponding bits of the contrasts.
>>>>>>>>>>>>>
>>>>>>>>>>>>> Hope this solves the problem. If not, please let me know.
>>>>>>>>>>>>> Thanks!
>>>>>>>>>>>>>
>>>>>>>>>>>>> All the best,
>>>>>>>>>>>>>
>>>>>>>>>>>>> Anderson
>>>>>>>>>>>>>
>>>>>>>>>>>>>
>>>>>>>>>>>>> On 6 August 2017 at 22:30, neuroimage analyst <
>>>>>>>>>>>>> [log in to unmask]> wrote:
>>>>>>>>>>>>>
>>>>>>>>>>>>>> Hi, Anderson.
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> Thank you for looking into this. You should have received a
>>>>>>>>>>>>>> dropbox link with all the relevant files in it. Please let me know if
>>>>>>>>>>>>>> anything else is needed from me. I really appreciate your time and help.
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> Regards
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> Virendra
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> On Sun, Aug 6, 2017 at 4:03 PM, Anderson M. Winkler <
>>>>>>>>>>>>>> [log in to unmask]> wrote:
>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> Hi Virendra,
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> Could you send me your inputs, design files, etc? You can
>>>>>>>>>>>>>>> put in some online service like Dropbox and send me the link off-list then.
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> Thanks, and apologies for the persistent bug...
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> All the best,
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> Anderson
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> On 6 August 2017 at 11:28, neuroimage analyst <
>>>>>>>>>>>>>>> [log in to unmask]> wrote:
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> Thanks, Anderson.
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> However, it throws the following error now.
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> *Undefined function 'qr' for input arguments of type
>>>>>>>>>>>>>>>> 'double' and attributes*
>>>>>>>>>>>>>>>> *'full 3d real'.*
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> *Error in palm_core>cca (line 3197)*
>>>>>>>>>>>>>>>> *[Qy,~] = qr(Y,0);*
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> *Error in palm_core (line 2048)*
>>>>>>>>>>>>>>>> * Q{m}{c}(t) =*
>>>>>>>>>>>>>>>> *
>>>>>>>>>>>>>>>> cca(plm.Yq{m}{c}(:,:,t),M,opts.ccaparm);*
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> *Error in palm (line 81)*
>>>>>>>>>>>>>>>> *palm_core(varargin{:});*
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> I would greatly appreciate your response.
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> Thanks
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> Regards
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> V
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> On Sun, Aug 6, 2017 at 5:01 AM, Anderson M. Winkler <
>>>>>>>>>>>>>>>> [log in to unmask]> wrote:
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>> Hi Virendra,
>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>> Thanks for letting me know. This should now be fixed in
>>>>>>>>>>>>>>>>> version alpha107. If the problem persists (or some other appears!) please
>>>>>>>>>>>>>>>>> feel free to ask again.
>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>> All the best,
>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>> Anderson
>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>> On 5 August 2017 at 01:43, neuroimage analyst <
>>>>>>>>>>>>>>>>> [log in to unmask]> wrote:
>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>>> Hi, Anderson
>>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>>> I am trying to run PALM CCA for 3 modalities with the
>>>>>>>>>>>>>>>>>> following line:
>>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>>> *palm -i mod1.nii.gz -i mod2.nii.gz -i mod3.nii.gz -m
>>>>>>>>>>>>>>>>>> mask.nii -d design.mat -t contrast.con -o results -npcmod -npccon -mv CCA
>>>>>>>>>>>>>>>>>> -T -logp -accel tail -quiet -noniiclass -nouncorrected -savedof
>>>>>>>>>>>>>>>>>> -saveparametric -Tnpc -demean -n 100*
>>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>>> However, it throws an error:
>>>>>>>>>>>>>>>>>> *Undefined operator '*' for input argument of type 'cell'*
>>>>>>>>>>>>>>>>>> *Error in palm_core (line 2044)*
>>>>>>>>>>>>>>>>>> *M=plm.Pset(p)*plm.Rz{m}{c}*plm.X{m}{c}*
>>>>>>>>>>>>>>>>>> *Error in palm (line 81)*
>>>>>>>>>>>>>>>>>> *palm_core(varargin(:))*
>>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>>> I would greatly appreciate if you could please help me
>>>>>>>>>>>>>>>>>> resolve this error.
>>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>>> Thanks
>>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>>> Regards
>>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>>> Virendra
>>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>
>>>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>
>>>
>
