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Dear all,
Suppose, I have a column vector of location (position) and orientation of a robot:
[x ; y ; z ; Rx ; Ry ; Rz]
the first three rows are the location and the last three pertain to the orientation.
Now, suppose I want rotate the assembly in Rz with -90 degrees.
I was wondering how to calculate such a matrix transformation?
We know the formula for matrix transformation is 4 by 4 (T = [Rot , Transpose(P) ; 0 , 1]). But my location and orientation matrix is 6 by 1.
Any hints?
I see Jacobian matrix is 6 by 6, but not sure if that works as Jacobian matrix for velocities.
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Hello...
I suggest you see the links on the topic of this paper.
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What should be the number of seeds placed in 1 meter row length in case of wheat while maintaining row to row distance of 20 or 22.5... if we want to maintain 2.5 cm plant to plant distance, then number of seeds that must be placed in 1 meter row length would be 40...If want to maintain 5 cm then only 20 seeds in one meter row length...and if more than 40 seeds or 50 seeds, then seeds must be placed in 2 cm or even less than 2 cm distance...then what would be the principles for calculating space occupied by one plant for enumerating leaf area index or other growth attributes...If someone want to apply 100 kg of the seed rate, then for maintaining optimum plant population of wheat, is 5 cm plant to plant distance is correct....? However it is not practical feasible and possible to throw seeds in continuous fasion maintaining these distances whether 2.5 or 5 or less than 2.5...
proper scientific explanation is welcome...
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Four seeds
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I'm using Xcalibur 2.0 and i want to do the batch reprocess of my sequence. I clicked on the batch reprocess icon, i select only quant report and the rows but when i click ok, a windows appears that says: "row 1 has the following error(s): the raw file does not exist".
Any idea what what does it mean? the manual is very lacking generally speaking.
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please check that it was not aborted; this was my case when I got the same message
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dear users,
I am dealing with quantum espresso. I was doing K-point convergence for CdS (110) slab. An error :
" Error in routine zsqmred (1):
somthing wrong with row 3"
has been found in the output for the k-point 6 6 6.
How can I solve this problem?
Could anyone explain? I am attaching the input and output files:
Thanks in advance.
CdS(110) 6.in
&CONTROL
calculation = 'scf'
pseudo_dir = '.'
disk_io = 'none'
/
&SYSTEM
a = 4.20080e+00
b = 4.20080e+00
c = 2.99519e+01
cosac = 5.77350e-01
ibrav = -12
nat = 4
ntyp = 2
ecutwfc = 70
occupations = 'smearing'
degauss = 0.1
/
&ELECTRONS
/
ATOMIC_SPECIES
S 32.06600 S.pbe-van_bm.UPF
Cd 112.41100 Cd.pbe-n-van.UPF
ATOMIC_POSITIONS {crystal}
S 13.372274 0.000000 14.455626
Cd 13.372274 2.100402 12.970417
S 11.271872 2.100402 11.485209 0 0 0
Cd 11.271872 0.000000 10.000000 0 0 0
K_POINTS {automatic}
6 6 6 0 0 0
Output file:
Program PWSCF v.6.7MaX starts on 6Aug2022 at 20:59:21
This program is part of the open-source Quantum ESPRESSO suite
for quantum simulation of materials; please cite
"P. Giannozzi et al., J. Phys.:Condens. Matter 21 395502 (2009);
"P. Giannozzi et al., J. Phys.:Condens. Matter 29 465901 (2017);
in publications or presentations arising from this work. More details at
Parallel version (MPI), running on 80 processors
MPI processes distributed on 2 nodes
R & G space division: proc/nbgrp/npool/nimage = 80
Waiting for input...
Reading input from standard input
Current dimensions of program PWSCF are:
Max number of different atomic species (ntypx) = 10
Max number of k-points (npk) = 40000
Max angular momentum in pseudopotentials (lmaxx) = 3
Subspace diagonalization in iterative solution of the eigenvalue problem:
one sub-group per band group will be used
scalapack distributed-memory algorithm (size of sub-group: 8* 8 procs)
Parallelization info
--------------------
sticks: dense smooth PW G-vecs: dense smooth PW
Min 17 17 5 2864 2864 434
Max 18 18 6 2898 2898 464
Sum 1405 1405 405 230325 230325 36001
bravais-lattice index = -12
lattice parameter (alat) = 7.9384 a.u.
unit-cell volume = 2912.3225 (a.u.)^3
number of atoms/cell = 4
number of atomic types = 2
number of electrons = 36.00
number of Kohn-Sham states= 22
kinetic-energy cutoff = 70.0000 Ry
charge density cutoff = 280.0000 Ry
scf convergence threshold = 1.0E-06
mixing beta = 0.7000
number of iterations used = 8 plain mixing
Exchange-correlation= SLA PW PBE PBE
( 1 4 3 4 0 0 0)
celldm(1)= 7.938362 celldm(2)= 1.000000 celldm(3)= 7.130047
celldm(4)= 0.000000 celldm(5)= 0.577350 celldm(6)= 0.000000
crystal axes: (cart. coord. in units of alat)
a(1) = ( 1.000000 0.000000 0.000000 )
a(2) = ( 0.000000 1.000000 0.000000 )
a(3) = ( 4.116532 0.000000 5.821660 )
reciprocal axes: (cart. coord. in units 2 pi/alat)
b(1) = ( 1.000000 0.000000 -0.707106 )
b(2) = ( 0.000000 1.000000 0.000000 )
b(3) = ( 0.000000 0.000000 0.171772 )
PseudoPot. # 1 for S read from file:
./S.pbe-van_bm.UPF
MD5 check sum: 858e92cafdd1f9d4b79a4c1d80f8d317
Pseudo is Ultrasoft, Zval = 6.0
Generated by new atomic code, or converted to UPF format
Using radial grid of 811 points, 6 beta functions with:
l(1) = 0
l(2) = 0
l(3) = 1
l(4) = 1
l(5) = 2
l(6) = 2
Q(r) pseudized with 8 coefficients, rinner = 1.100 1.100 1.100
1.100 1.100
PseudoPot. # 2 for Cd read from file:
./Cd.pbe-n-van.UPF
MD5 check sum: 7378a36be6f6525eac7221f5472cc446
Pseudo is Ultrasoft + core correction, Zval = 12.0
Generated by new atomic code, or converted to UPF format
Using radial grid of 889 points, 6 beta functions with:
l(1) = 0
l(2) = 0
l(3) = 1
l(4) = 1
l(5) = 2
l(6) = 2
Q(r) pseudized with 6 coefficients, rinner = 1.000 1.000 1.000
1.000 1.000
atomic species valence mass pseudopotential
S 6.00 32.06600 S ( 1.00)
Cd 12.00 112.41100 Cd( 1.00)
No symmetry found
Cartesian axes
site n. atom positions (alat units)
1 S tau( 1) = ( 72.8793273 0.0000000 84.1557407 )
2 Cd tau( 2) = ( 66.7654163 2.1004020 75.5093588 )
3 S tau( 3) = ( 58.5511074 2.1004020 66.8629827 )
4 Cd tau( 4) = ( 52.4371964 0.0000000 58.2166008 )
number of k points= 112 Gaussian smearing, width (Ry)= 0.1000
Number of k-points >= 100: set verbosity='high' to print them.
Dense grid: 230325 G-vectors FFT dimensions: ( 45, 45, 320)
Estimated max dynamical RAM per process > 26.87 MB
Estimated total dynamical RAM > 2.10 GB
Initial potential from superposition of free atoms
starting charge 35.99929, renormalised to 36.00000
negative rho (up, down): 2.680E-02 0.000E+00
Starting wfcs are 26 randomized atomic wfcs
total cpu time spent up to now is 2.4 secs
Self-consistent Calculation
iteration # 1 ecut= 70.00 Ry beta= 0.70
Davidson diagonalization with overlap
ethr = 1.00E-02, avg # of iterations = 4.4
negative rho (up, down): 2.681E-02 0.000E+00
total cpu time spent up to now is 10.3 secs
total energy = -232.90789116 Ry
estimated scf accuracy < 3.11883681 Ry
iteration # 2 ecut= 70.00 Ry beta= 0.70
Davidson diagonalization with overlap
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Error in routine zsqmred (1):
somthing wrong with row 3
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
stopping ...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Error in routine zsqmred (2):
somthing wrong with row 3
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
stopping ...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Error in routine zsqmred (3):
somthing wrong with row 3
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
stopping ...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Error in routine zsqmred (3):
somthing wrong with row 3
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
stopping ...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Error in routine zsqmred (1):
somthing wrong with row 3
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Are you sure about the atomic positions? You select 'crystal' so the atomic positions are defined in terms of the unit cell vectors that you have given. Therefore normally the atomic positions in crystal coordinates are vectors with elements between -1 and 1. Yours are clearly not in this range. I would recommend you check again that element
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Hi, I am using Protege and I want to import data from an Excel-sheet (currently using Celfie plugin for this purpose). I've three classes (i.e. Consumer, Energy, Date) and I want to populate them from an Excel-sheet. As far it is concerned with creating Individuals of these classes, I've done by using the following rules
For Consumer Class:
Individual: @H*
Types: Consumer
Facts: SMID @H*
(SMID is Smart Meter ID and it is a DataProperty)
(Starting Column: H, Ending Column: H, Starting Row: 2, Ending Row: 6)
For Energy Class:
Individual: @**
Types: Energy
Facts: EnergyInWatt @**
(EnergyInWatt is DataProperty)
(Starting Column: A, Ending Column: G, Starting Row: 2, Ending Column: 6)
For Date Class:
Individual: @**
Types: date
Facts: ConsumedOn @**
(ConsumedOn is DataProperty)
(Starting Column: A, Ending Column: G, Starting Row: 1, Ending Row: 1)
Now, I want to create relationships among them as I've created ObjectProperties such as
  1. Consumer consumes Energy
  2. Energy isConsumedOn Date
Where, consumes and isConsumedOn are ObjectProperties.
Note: The Excel-sheet is attached.
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Hello.. You must capture first in object property menu the properties consumes and isConsumedOn. i think you captured before in an excelsheet by columns:
Column A. Consumer
Column B. Energy
Column C. Date
Then
Individual: @A* Facts: consumes @B*
Individual: @B* Facts: isConsumedOn @C*
By default all individuals will be as mm:string but you can change de annotation to mm:date too.
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Hello!
I would like to get the average curve from several curves on a plot. Is there a way to do this in Excel?
(Background information: I have drawn three different curves for three different x-y data sets. However, each of these has a different amount of XY points and different in length and I can't simply take the average across the row. Any solutions?) See the picture
Thanks!
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The following python code could Average Multiple Curves and plot them.
I've shared it on Github and it's available from the following link:
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Hello good people!
Recently I am trying to create a heatmap in R by using complex heatmap, the heatmap has in total 2795 genes that are up and down regulated (as row)and I would like to figure out the names of each gene but unfortunately due to large number of dataset, it seems overlapped. I used the following R script to generate the heatmap:
> library("ComplexHeatmap")
> data <- read.table("…..txt", header=T, row.names = 1, sep="\t")
> data2 <- as.matrix(data)
#Z-sore
> mat_scaled = t(scale(t(data2)))
> Heatmap(mat_scaled, clustering_distance_rows = "euclidean", clustering_method_rows = "ward.D2", show_row_names = True)
> install.packages("dendsort”)
> library("dendsort”)
> Heatmap(mat_scaled, name = "mat", cluster_rows = row_dend, cluster_columns = col_dend, column_title = "reorder by dendsort", show_row_names = True)
> dev.off ()
Is there any bioconductor package or a method in R to show all the rownames or any other way to export the names of the rows?
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Finally I get the answer of my question. This is the R script that I used to solve my query.
library("ComplexHeatmap")
data <- read.table("/Users/Lenovo/Desktop/ABCDEF/for_clustering_list13.txt", header=T, row.names = 1, sep="\t")
data2 <- as.matrix(data)
#Z-score
mat_scaled = t(scale(t(data2)))
library("dendsort")
row_dend = dendsort(hclust(dist(mat_scaled)))
col_dend = dendsort(hclust(dist(t(mat_scaled))))
Heatmap(mat_scaled, name = "z-score", clustering_distance_rows = "pearson", clustering_method_rows = "ward.D2", clustering_distance_columns = "pearson", clustering_method_columns = "ward.D2", show_row_names = TRUE, cluster_rows = row_dend)
heatmap <- Heatmap(mat_scaled, name = "z-score", clustering_distance_rows = "pearson", clustering_method_rows = "ward.D2", clustering_distance_columns = "pearson", clustering_method_columns = "ward.D2", show_row_names = TRUE, cluster_rows = row_dend)
clu <- t(t(row.names(data2[row_order(heatmap), ])))
write.csv(clu, "gene_names.csv") (For generating CSV file)
png(filename = "heatmap.png", width = 15000, height = 15000,
units = "px", pointsize = 0.00001,
bg = "white" )
Heatmap(mat_scaled, name = "z-score", clustering_distance_rows = "pearson", clustering_method_rows = "ward.D2", clustering_distance_columns = "pearson", clustering_method_columns = "ward.D2", show_row_names = TRUE, cluster_rows = row_dend) (For generating PNG file)
dev.off()
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I have selected four types of coastal five types of coastal fishing crafts/boats three types of boats have engine and other two do not have engine. I need to find technical efficiency of these four types of boats. all boats operate one day fishing trip.
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Dear Mr Ragavan Nadarajah.. Thanks for the information that you shared with me
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When I am using MOLUSCE, a QGIS plugin, it displays a warning message: the geometry of different rasters does not match. Raster geometry generally means raster cell size, number of rows and columns, and projection. So how can I generate two or multiple rasters that have the exact same geometry? Does anyone have any helpful advice on how I can get past this error message?
I would greatly appreciate any suggestions or feedback.
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Just go through the given link below and I hope you will get the solution.
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Hi,
I was trying to upload my labelled data in the Matlab CL application but the analysis isn't happening successfully. The uploaded data has around 100 rows (labelled entries) and therefore I was wondering if the application can use a limited data to train, tune and test the model.
I understand that it would be great to have more data for analysis but at this stage I wanted to assess how the model prediction is going using the subject application. Any relevant links or guidance to effectively achieve this goal would be useful. Thanks!
Regards,
Akbar
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@Syed Akbar Raza Naqvi I think If you are using machine learning approaches as like SVM, KNN etc for classification task you can work even in small size dataset. But for deep learning model, CNN etc, with small size dataset you should adopt some techniques to handle over fitting problems during model training..
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I came across this question ,please clarify.
m=4,the matrix size will be 4 X 15.all rows and all columns all neither be ones nor zeros.
Which means all entries are mixed but not all the entries be same on a row or a coloumn
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Construct an m x (2^m-1) matrix whose columns are all possible m length binary vectors, except all-zero vector
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Hi,
I am trying to generate a structure file through PGDSpider, for a diploid organism, where each locus is in two consecutive columns in one row, rather than data for each individual be stored as 2 consecutive rows, where each locus is in one column (as mentioned as one option in structure format: https://web.stanford.edu/group/pritchardlab/software/structure22/readme.pdf). In the spid file, I defined: # What is the ploidy of the data?
VCF_PARSER_PLOIDY_QUESTION=DIPLOID_ONE_ROW (http://www.cmpg.unibe.ch/software/PGDSpider/PGDSpider%20manual_vers%202-1-1-5.pdf). However, the output still have each individuals be stored as 2 consecutive rows rather than in one row. Just wondering whether you have any suggestions for it.
Thanks,
Jia
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Thank's a lot Jia Zhou , I was dealing these days with the same problem and your script has been my solution. Thank you very much!
Lucía
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I am looking for night images of Las Vegas in summer (june to august), taken by Landsat 8. The goal is a LST analysis.
However, there does not seem to be a single image available for the ascending direction path 137 / row 209 in Earthexplorer. It shows always that there was no image found.
Am I making a mistake here in the search?
A similar question from 2017 (https://www.researchgate.net/post/How_can_I_download_nighttime_landsat_8_images) mentioned to contact customer support for night time images. Is this still up to date and how can I reach them?
There are several ways to contact them, but I do not know who exactly to contact regarding this matter.
Thank you in advance!
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Hi community, I've performed some repeated measures correlation (using this algorithm ) between several bacterial genera and inflammatory markers (e.g. 60 genera vs 10 cytokines).
I've obtained a non-squared matrix, with different variables in rows and columns.
Is is possible to preform a network diagram with these type of matrixes????
thank you in advance
best
Sara
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Hi,
Softwares ORIGIN 12 and R have the modules to generate Network Diagrams.
There are Youtube videos on this topic too.
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I have done DNA isolation of sugarcane but it seems there is a problem in the bands(upper row) what could be the reason for this
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Your dna samples are partially degraded and some contain a lot of rna but if your next step is a pcr then I would expect them to be good enough to amplify a product.
Your samples may have been stored for too long or thawed for too long before isolating the dna.Try to minimise the time that the sample stays as a crude extract before separating the dna
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I was designing MEMS based Microcantilever bio sensor on COMSOL MULTIPHYSICS. in the simulation part I am repeatedly getting the following errors. Can any one give me an idea how can I rectify it ?
Failed to find a solution.
Segregated Step 1
System matrix is zero.
In Segregated Step 1:
Returned solution is not converged.
- Feature: Stationary Solver 1 (sol1/s1)
Failed to find a solution.
Segregated Step 1
Singular matrix.
There are 165 void equations (empty rows in matrix) for the variable comp1.V.
at coordinates: (5.56209e-006,1.25581e-005,2.6e-006), (5.12418e-006,1.21161e-005,2.6e-006), (5.56209e-006,1.18855e-005,2.6e-006), (5.56209e-006,1.25581e-005,2.3e-006), (5.56209e-006,1.18824e-005,2.3e-006), ...
and similarly for the degrees of freedom (empty columns in matrix).
In Segregated Step 1:
Returned solution is not converged.
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I found this types of problem in Comsol for boundary condition problem (i.e when boundary setup was incomplete) for electromagnetic frequency domain solution.
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I have granulated blast furnace slag (GBFS) and Fly ash. As you can see in the table 2 in the file attached to this question, Sio2 of Fly ash and GBFS are 52.72 and 32.12 and Al2O3 of fly ash and GBFS are 16.30 and 16.41, respectively.
In the next table, you see the amount of Si/Al calculated for mixture design. I wonder if you could kindly let me know how they calculated the Si/Al, 1.47 for instance at the first row, and how they changed it and reached Si/Al = 1.51 in the second row.
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Hi,
You can calculate in the following way:
1. calculate the no. of moles of each element-oxide or element. You can do that by simplying dividing the weight of element oxide/mol. wt. of element oxide. This will give you moles of element oxide in that particular weight of material.
2. If you need to calculate moles for element, then for eg., calculate weight of Si in SiO2, now divide that by mol wt of Si. This will give u moles of Si.
Similarly calculate moles for all desired element-oxide or element watever is the requirement. Divide the moles of desired element and u vl get Si:Al molar ratio.
3. In particularly, for table 2, they have not given details of SiO2 and Na2O in alkali solution, so the presence of SiO2 and Na2O in the solution will affect your molar ratio. Find out the elemental compsition of the liquid solution. Calculate moles in the above suggested way.
4. Add all the relevant moles of elements and divide as per watever ratio you are looking for. (eg. add all moles of Si (in precursor and alkali solution)/ add all moles of Al (in precursor and alkali solution) this will give you the final Si/Al molar ratio (mentioned in table 2 under Si/Al)
I hope i have explained it to you in a simple manner.
Let me know if you neeed any help
Thanks and All the best
Leena vachasiddha
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Hi all,
Is there a maximum number of studies to be included in a scoping review? If yes, kindly advise the number or any best practice (specifically, in the medical field). Also, if we include more than 200 studies in a scoping review (for example, 280 studies), then how should this be handled? What is the best practice for this? I envision there should be a table of some sort with predefined variables, and then there would be the 280 rows for the 280 studies, but how should this be managed / presented in a scoping review, given the high number of studies included?
Thanks in advance. Much appreciated.
Kind Regards,
Zakia Salod
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Increase number of study
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I know it looks difficult but I'll explain the best I can.
I have a dataset in SPSS in which each row corresponds a conflict.
There are 2.506 conflicts in the 5 regions explored. This regions are in one numeric variable.
Europe: 154
Middle east: 357
Asia: 1.007
Africa: 793
America: 195
However there are regions that have more and less countries...
I want to know if there is a correlation between the number of conflicts and a region's size.
I also know how many countries there are in each.
I'd prefer to have scatter/dot graph as an output.
Do I add variables, insert new data...? Can someone give me a hand on this?
Thanks
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Define the size of the region by geography and population, and then, take count of reported conflicts in each of them. By so doing, you have conveniently carried out your St task.
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I have row data files; need to find amplitude and phase of the signals. Is it possible to find it using the origin.
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The previous part has been removed as the question is resolved.
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Hi Marcel Grieger I found the entire paper, so it's sorted now. Thanks
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Dear colleagues, I've a code, where I'm using learning sample size 25 with shifting for each month by every step with 204 monthly data.
In pred I've got only one row pred<-predict(fit,inputs[-train[,1:170]]),but I need 170 rows in the output data frame.
If anybody,please,to look the code and to suggest me how I can add all 170 rows in pred data frame as the result of learning sample?
Thank you very much
library(RSNNS)
library(rnn)
library(keras)
library(tensorflow)
library(xts)
require(quantmod)
library(tidyverse)
library(lubridate)
library(writexl)
require(openxlsx)
library(writexl)
sslog<-as.ts(read.csv("z.csv"))
mi<-sslog
shift <- 25
S <- c()
for (i in 1:(length(mi)-shift+1))
{
s <- mi[i:(i+shift-1)]
S <- rbind(S,s)
}
train<-S
y<-as.zoo(sslog)
x1<-Lag(y,k=1)
x2<-Lag(y,k=2)
x3<-Lag(y,k=3)
x4<-Lag(y,k=4)
x5<-Lag(y,k=5)
x6<-Lag(y,k=6)
x7<-Lag(y,k=7)
x8<-Lag(y,k=8)
x9<-Lag(y,k=9)
x10<-Lag(y,k=10)
x11<-Lag(y,k=11)
x12<-Lag(y,k=12)
slog<-cbind(y,x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,x12)
slog<-slog[-(1:12),]
inputs<-slog[,2:13]
outputs<-slog[,1]
fit<-elman(inputs[train[,1:170]],
outputs[train[,1:170]],
size=c(3,2),
learnFuncParams=c(0.2),
maxit=40)
fit2<-elman(inputs[train[,1:170]],
outputs[train[,1:170]],
size=c(2,2),
learnFuncParams=c(0.2),
maxit=40)
#plotIterativeError(fit)
y<-as.vector(outputs[-train[,1:170]])
#plot(y,type="l")
pred<-predict(fit,inputs[-train[,1:170]])
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Maybe put the "1:170" before the comma
pred<-predict(fit,inputs[-train[1:170,]])
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Please help me to solve my problem in my code ......
I need to use S as index to change positions of matrix A
I need make permutation positions of elements of matrix by bellow substitute:
Substitute A(S(i) ) with A (S(M×N)−i+1).,where M and N is rows and cols of matrix
Here i = 1, 2,..., M × N/2
then I need reversible to obtain original matrix.
I write the code but I couldn't get the original matrix and I contacted with authors but no one response to me .
Note: this way for permutation from this paper: A novel plaintext-related image encryption scheme using hyper-chaotic system and the matrix is an image but for simplicity I implemented permutation on small matrix called A.
A =[111 222 30 4;50 65 70 83; 10 27 39 40 ; 54 67 72 81 ];% original matrix we need to shuffle
S=[1 11 1 4 3 14 6 11 13 11 7 15 5 9 9 7];% index used to shuffle matrix A
%{
Remove the repeated elements from matrix index S, and
then put the absent numbers at the end to generate a new sequence X.
%}
C = 1:numel(A);
S = unique(S,'stable');
S = [S C(~ismember(C,S))]
% start permutation
[row,col]=size(A);
len=row*col;
B=reshape(A,1,len);
A=B;
for i =1:len/2
A(S(i))=A(S(len-i+1));
end
Ab=reshape(A,row,col);
% To get original matrix :eversible to obtain original matrix but I couldn't get original matrix .
AA=reshape(Ab,1,len);
for i =1:len/2
AA(S(len-i+1))=AA(S(i));
end
Abb=reshape(AA,row,col);
@Peng Changgen this way for permutation from your paper: A novel plaintext-related image encryption scheme using hyper-chaotic system.
please explain to my what is my error.
@Fawad Masood can you help me?
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Dear Saif,
It is not a big deal in MATLAB. In order to play with shaping/reshaping with MATLAB, please kindly try to spend some time in its exercises, e.g., https://au.mathworks.com/help/matlab/ref/reshape.html
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My name is Natalie, and I am a graduate student at the University of Tulsa. I am using the Trauma History Questionnaire for my dissertation to assess trauma exposure. My advisor is new to trauma research, and we are starting the data entry process for this measure. We plan on looking at the number of trauma exposures if traumas occurred during childhood or adulthood (or both), and if possible, looking at revictimization rates.
We are finding this measure complex to enter and build our SPSS dataset for. Our participants had put age ranges for when events occurred and used vague developmental stages to answer the age at which trauma occurred (putting "adolescence" or "high school," for example), to name a few of the issues we have run into. We have started to enter the data by creating multiple rows for each participant, with a row for each age that a trauma type has occurred.
We are wondering what the best way to build a dataset is for this measure. We welcome any insight! We tried to input this measure into an online survey platform such as RedCAP or Qualtrics. However, we were not able to input this measure as flexibly as needed. If you have any insight on that process, I would appreciate that as well!
We would appreciate any guidance on this issue. Thank you!
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HEIIO. MY DEAR. IAM NOT SPSS
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i am doing a point mutation of tyrosine to alanine leading to 3 alanine in a row in the peptide sequence.
the structure before mutation is alpha helix, will the mutation may lead to disruption of the alpha helix?
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As a matter of fact, according to: Pace, C. N., & Scholtz, J. M. (1998). A helix propensity scale based on experimental studies of peptides and proteins. Biophysical journal, 75(1), 422–427. https://doi.org/10.1016/s0006-3495(98)77529-0Alanine has the highest helix propensity. In other words your helix becomes even more stable.
An indication can be obtained by using a secondary structure prediction program like:
Just changes the FASTA form of your sequence and see whether a drastic change is to be expected or not.
Best regards.
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I have diet composition of a species in an area (10 different components) for two different years. So I have two columns (year 1 and 2) and 10 rows (the food items), and the cells are filled with proportions. I want to test if there is a statistical difference in diet between the two years. What test do I use?
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Do you have the numerators and denominators for the proportions?
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Suppose I have created the matrix C=[1 2 3; 3 4 5;6 7 8;9 10 11;12 13 14;15 16 17];
and I would like to pick up any row vector randomly from this C matrix.
Which MATLAB command/function useful for this?
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To Kiarash Aryankia: it is such a neat piece of code!
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We harvested 15 * 25 feet corn research plots in the field. Two middle rows were harvested out of 6 corn rows from a plot. I have corn grain yield in pounds (US) and want to convert that into bushels per acre yield.
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Thank you, Sabir Ali
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I have a dataset (Excel file /Size1.4GB ) that have 8 sheets each one having 900,000 rows.
I want to convert string to numeric. Moreover, normalization and scaling too.
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Yo could try pandas package for Python. It’s easy-way to use and transform your data. Yo can convert your string columns to categories, and then to numbers.
Here an example code:
import pandas as pd
df = pd.read_csv("your_excel_finel_in_CSV_format.csv")
df.your_string_col_name1 = pd.Categorical(df.your_string_col_name1).codes
df.your_string_col_name2 = pd.Categorical(df.your_string_col_name2).codes
...
Here a dummy example based on your data:
import pandas as pd
df = pd.DataFrame({"col1":[1, 2, 3, 4, 5], "col2":[22.5, -3.45, 5.12, 48.00, 33.33], "col3": ["http://www.yahoo.com/123", "http://www.yahoo.com/mail", "http://www.yahoo.com/mail/yahoo", "http://www.yahoo.com/123", "http://www.yahoo.com/mail"]})
print(df)
df.col3 = pd.Categorical(df.col3).codes print(df)
I hope I have been able to help you with this task.
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I have synthesized Zirconia and copper oxide metal oxides whose JCPDS card no is indicated here. But I need the standard data for these metal oxides or JCPDS card no. 00-049-1642 and 00-048-1548.
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JCPDS is now the ICDD, and has been for some time. The software and the data are proprietary, which one of these databases cost a good amount of money. However, you can look at places like the crystallographic open database (COD) or American Mineralogist. SREC also provides a complete and upkept list of free crystallographic databases. These will allow you to search the composition you are looking for. The only caveat is that you need to check the structures that you use, with something like VESTA. I've included previous thread links as well as links to databases.
Previous threads:
Databases:
Good luck!
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Hello, I need help to find an online survey maker( free or have student plan) that enables to make an interactive table that rows numbers based on the variable which is answered by the other question(that it must be greater than 1) columns number are constant and the answer of each box is the short answer. For example, based on the number of family members, we can make a table to get the personal data of each member.
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Dear Elham Kargar,
Thank you for your question.
You may use Kobotoolbox. You can build your questions in the website or in excel, and put several logics there. In case of collecting response, you can use their Kobocollect app or their website.
Hope it helps.
Please do not hesitate to contact me if you require any further clarification.
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Can somebody please explain what does the values of columns from 8th row and onwards represent.
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Not my cup of tea, but you can read their works and maybe you'll find it. At the bottom of this paper there are some equations for EAM potentials:
Full article: Development of new interatomic potentials appropriate for crystalline and liquid iron (tandfonline.com)
but the original paper is: Full article: Analysis of semi-empirical interatomic potentials appropriate for simulation of crystalline and liquid Al and Cu (tandfonline.com)
Also, there are e-mails, so even the author themselves might help you:) Good luck
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I have a set of 10 questionnaires based out of 5 point Likert scale
( 1: Strongly Disagree to 5: Strongly Agree )
Questionnaires are associated to a particular topic, i.e., To understand Customer preference on Green operations.
As of now I just conducted a descriptive statistics column-wise, where each column represents each specific questions and mean was calculated for each column and sorted the 10 questions based on higher mean.
Is this data sufficient enough to conclude that significant number of respondents have strong agreement in Question 2,4,5,6; Less agreement for Q 1,3,9,10 for instance?
I have also created a target variable accommodating the mean value calculated Row wise. However I do not know how to proceed further with such considerations.
Also are there better methodologies to get summary considering entire set of 10 questions as one?? I do have other data regarding gender, locations, age group etc...
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Vishnu Sivasankaran the question in your case is not how to statistically treat your 10 survey items measured on Likert Scale, important here is that how you derived these survey items (adopted from literature or developed yourself?), what latent variable these items measure, and where the variable fit in your research model. There is a difference between opinion survey and a scientific research questionnaire, especially in quantitative studies. For quantitative studies, either a researcher adopts or develops a survey to measure a latent construct, there are specific procedures to follow for reliability and validity of the measure. So, better be sure about the objectives of the study first and then proceed accordingly. Tq
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Hello Friends,
I am curious to know what kind of test can we apply for this dataset. Columns are categorical (Study site) variables. the active number indicates the sighting of a particular mammal species.
Rows are different types of tree species.
Any help would be appreciated
#Chi-Square #Statistics #Descriptives #ANOVA
Thanks
Thayyib
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Guillaume Adeux: Only these six sites have a mammal species. These six SGs have diverse plants. Hence, we are looking for their behaviour such as feeding, nesting. Is there a statistical test other than Rank Correlation or Kandell Tau?
I am a finance researcher by practice. So, I admit I am not good at conservation and biodiversity statistics.
 My sister is currently working on a research paper based on her PG dissertation.
Thanks again
Thayyib
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Since I am working on autonomous vehicle, I am interested in developing a path planning/navigation system for guiding in row crops. Please tell me about the type of algorithm/programme that needs to be developed for same. Also, inform me what type of camera and GPS system (Make; Model) for real time application will be the best that can identify the crop rows.
Is there any firm in India which can provide the necessary equipment/components.
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You are welcome. As I had already underlined, I have no knowledge about such cameras. I have never seen such cameras in my hand or any other place. I have not also seen any technical online video in detail about them . I know no detail about the cameras. I only suggested my idea through the theoretical scope. I discriminated between 3D cameras and 2D cameras. I had seen a video from Boston Dynamics Atlas robot and also in TV, in which some cameras render the environment image in 3D scan and can analyze the environment for collision avoidance. A 3D scanner camera is suitable for advanced motion planning. But I guess some simpler cameras you could possibly use for your case. I mean a camera which can distinguish between the rough terrain where the farms are bordered, and the traction where the crops are grown. This could be simply available by a camera which could detect two different colors: color of row crop, and the curb obstacles along borders of any farm. There might be no need for an advanced 3D scanner camera, so long as a simple camera can distinguish dark and light fields and tractions over the farming land based on their color (grey and black). This is all I knew.
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Hello!
I ran a logistic regression with a categorical IV (control, low experimental, high experimental) and a dichotomous DV (no/yes).
RQ: Were participants in the low or high experimental condition more likely to select "yes" and request further information on the topic than those in the control?
Attached is the output in PDF for and I am having difficulty interpreting it.
Black 0 shows that a model without variables would predict that most participants would select no—which is not a surprise because there were more participants who selected no.
Then, the Omnibus Tests of Model Coefficients table shows that once the variables are entered, they are a better predictor compared to the null model (p = .009). The pseudo-R2 is very, very small, though.
The classification table under Block 1 then shows the same ratio of observed to predicted values as Block 0. Doesn't this mean that the addition of the IV did not help predict the no vs yes DV?
Finally, in the Block 1 variables in the equation table, the row labeled condition (2), the high experimental condition, is statistically significant (Wald = 9.19, p =.002, Exp(B) = 1.72).
How do I interpret these findings? Did those in the high experimental condition have higher odds of selecting "yes" compared to those in the control condition?
Thank you so much!
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I am having some similar issues. Did you ever figure it out? Block 0 classification table shows 87.9% predictive accuracy when just guessing no for my dependent variable. I have three independent variables, all of which are significant in the "variables not in the equation" table. With the "Variables in the Equation" table, significance of the model <.001. Hosmer and Lemeshow test not significant (which is good to my limited knowledge). Then, Block 1 classification table predicts no "Yes" answers on my dependent variable and still shows 87.9% predictive accuracy. If the model was significantly better, why is it not predicting ANY yes answers? Frequency of "yes" answers for dependent variable in the actual data set is 21 events out of 174. Am I setting up the options incorrectly on the regression? Any help appreciated!
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For my experiment, we are examing the effects of estrous stage on heroin withdrawal enhanced fear learning in rats, and for several of the test days we would like to acquire the vaginal cells by washing with saline from a pipette. However, we wanted to perform this procedure several days in a row, and I was worried about the possible stress of repeatedly doing this to the animal. Is it okay to perform the flushing technique repeatedly? I can't find anything on the best practices for this or any info about the possible stress it induces. Thank you!
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Hi, Lydia!
Vaginal lavage is a stressful manipulation, so you really have to be careful about it. Few papers show higher corticosterone levels and higher cardiac frequency after the procedure.
There's also a paper showing that it attenuates cocaine-stimulated activity, establishes place preference in rats, and masks the existing difference between estrous cycle phases.
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Hi, Currently I am conducting a simulation with ARENA. so, I have problem now. The simulation is about Tug boat utility. Here are the cases, so I have three types of vessels and 4 tugboats. if the arrival is first vessel, so it will assign all the tug boat in the specific time, if the arrival is vessel 2 or vessel 3, it needs only 2 random tug boat (the idle, if not idle, the vessel needs to wait). How can I apply those kinds of scenario on my ARENA since my main objective is calculating the utility of each tug boat.
thank you.
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Well yeah it was processed but it did not go out from the module.
okey thankyou, I will check the book. Have a good day!
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I saved the following quote last year to my laptop: “The statements often read like a prayer in solitude, a provocative charge at a rally challenging the audience to take on a cause, an acceptance speech at the Academy Awards expressing gratitude to family and friends, or an intimate letter to a loved one”. (Williams, 2016, p. 25).
However, I am now struggling to find the original source. Does anyone know where it's from? In reference to death row final statements.
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The Spectrophotometer report has a 400-700nm band of 6 units. Each unit has an increment of values followed by the previous one for the particular row. The report also mentioned these data as %R/%T plot and K/S (Absorb.) assuming a standard of the sample. How to apply Kubelka-Munk's formula here?
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You can follow the attached guide.
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I have been doing a lot of thermofluor assays for determining binding affinities. This necessitates getting the raw fluorescence values organized into a different column for each sample. Unfortunately, QuantStudio Design and Analysis software is not so kind as to export the data in this manner. Instead, it exports the data all in one column, with separate samples stacked on top of one another in a workbook ~infinity rows deep. There is at least a well ID and sample name column that lists this info next to each temperature and fluorescence value.
Is there a way to write an excel script that would be able to organize each samples' data into columns like this by referencing the well ID associated with each sample? Or some other way?
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Thank you so much, Yuhta! This is amazing and will save my colleagues and I so much time.
Much appreciated,
Nathan
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How to achieve a 1000x focus (using Fresnel lens) on CPV module containing 21 cells arranged 3 columns*7 rows? The CPVs are scattered on the copper plate, and they are very close to each other, how to ensure that each CPV can have enough light? I mean what is the mechanism of concentrating such light on the cells (the module contains 21 cells arranged as 3 columns and 7 rows).
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Hi ! We are trying to train an LSTM under Anaconda (Spyder) from a dataset of size 333113kb. (3628801 rows * 31columns) The data is stored in a .csv file and is imported using the pandas library
The train doesn't even start, we want to know if it's the IDE or the data size that is causing this problem?
Any solutions?
Thanks in advance.
NB : we are using an Intel Core (TM) i5-8300H CPU 2.3 GHz with 8Go of RAM.
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Hi dear, did you solve your problem?
Was there an error message in the IPython console?
If yes, what was it?
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Dear members,
I have a matrix with a pattern, it starts from an index given by a value for the integers, i.e, i=0, 1, 2,3.... As I know the matrix which multiplies a vector of data (also with defined values based on special constants), which alternative coming from the known techniques of linear algebra lets operate on the rows in order to transform the original matrix to its inverse? (Is still valid the Gauss reduction techniques or others modern?) Not sure if an inverse matrix with infinite elements could be gotten easily, as theoretically the definition of square matrix does not apply or we need to imagine an infinite square matrix (infinite rows and columns as in M, below).
I know the old methods, but the modern algebra or formal lets define properly the operations for a matrix like this, from which I need get its inverse:
M= ( ( 1 0 0 0 .... 0....) for i=0
(1 2 4 8.... (2 at j).... ) for i=1
(1 2x2 (2 at 4) (2 at 6) ...... ) for i=2
(1 2x3 (( 2 at 2) X (3 at 2)) (2 at 3( x (3 at 3)...... ) for i=3
....
....
..... );
In general, I pursuit for methods to determine properly the inverse of this matrix or for all kind of matrices, if applies. the matrix M lets calculate some terms involving the Bernoulli numbers from a special coefficients G0, G1, G2, .... which I need to define thanks to the inverse. Inverse might be possible.
Thanks
Carlos
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I'm working in a research project, and its objective is to predict the future land use and land cove (LULC) of the study area. To predict the LULC, I'm using MOLUSCE plugin in QGIS. But the predicted LULC is found with different cell size and number of row /column.
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So you have to define it and do not let it to be undefined.
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Dear collegians; Attending to compare the centerline (planting line or row) to the adjacent lines on left and right, aiming the number of lines that do not differ significantly from the median line, and in which the environmental effects are equal, and those that differ significantly from the right and left of the middle line, that can be recommended as guard lines in a cotton experiment planted on 75cm departed rows and 25cm intra-spaced plants.
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I did a similar work for cabbage sir.
You can find my paper here sir.
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How to make python extract one row every seven rows from a .csv dataset?
I have a dataset of 4 columns and 15000 rows, and I need to extract one row for every seven rows i.e 1, 7, 14, ...
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Alexander Cristian Resentera You don't need to import library every time you use the methods within its library. Just import it at the beginning and you are done. To execute iloc function, write this script just below the script you have shown above:
selected_datos1 = datos1.iloc[::7, :]
selected_datos2 = datos2.iloc[::7, :]
selected_datos3 = datos3.iloc[::7, :]
Execute these lines of codes and the extracted every 7th rows will be within the variables that you declared (in this case selected_datos1, selected_datos2, and selected_datos3).
This is a very handy library in python to work with large excel sheets, text files. So, I suggest you to go through this link to learn more about it: https://www.tutorialspoint.com/python_pandas/python_pandas_dataframe.htm
Best Regards,
Shangharsha
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is it beneficial to take up acid lime cultivation in raised bed method. What should be the measurements of the raised bed and recommended spacing between row to row and plant to plant?
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We are trying to channel rainfall from the inter row to the seeded row in dryland farming systems in Western Australia. In order to do this we have created inter-row hills to run water into the seeded furrow. The efficiency of collecting water is low and we are wondering if you can treat the hills inexpensively to get more efficient runoff into the furrows? We are currently trying polymers to improve runoff but with mixed success. Details of this work are given in Barrett-Lennard et al. 2021 (micro water harvesting........)
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Hi Dave
Mike Bolland tried several methods of water harvesting at Salmon Gums RS about 40 years ago. There was several simple ways but maybe linked to older methods of sowing than today. Knowing Mike its probably published! Roger Feltcher was manager there in those days maybe he's not around these days. However Mike is still going and maybe able to be contacted.
All going well. cheers
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'New' materials in houses or boats contain nitrogen-containing compounds that are converted to
cyanide in cases of fire, thus causing cyanide poisoning in exposed persons. However, diagnosis is difficult.
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Jan O. Aaseth here are the links which shows us about the details you have requested in the question
Hope so these will be useful and answers your question and really good to see questions related to blood cyanide analysis which I was searching online on RG
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Hello. I am doing an immunostaining of human iPSC adherent to a 384-well plate. Previosly I did a small-scale titration and optimized concentrations and incubation times of each step.
My problem is that I didn't realize it would be so difficult to scale it up to 384-well plate. The main reason for that is that we don't have automated pipets or multipipets in the lab, so I have to do all the washes by manually pipetting in/out of each well. Similarly, in previous experiments, I realized that using vacuum machine to aspirate leads to loss of a big proportion of my cells.
There are other reasons, but TL;DR: I am unable to perform fixing->permeabilization->blocking->staining of all 384 wells in one day (or even two). Humanly impossible. I've tried to do it in batches (2 rows at a time) but this means that I had to put the plate back in the incubator after staining them because the remaining rows have live cells in it. This greatly degrades the dyes apparently because I've just been in the imaging room and the signal is very poor.
The solution I am leaning right now is to change the protocol to look like the following:
Day 1: Fix and permeabilize cells. After permeabilization I wash them twice with PBS after second wash I leave them in PBS at 4ºC.
Day 2: Block, stain with primary antibody and wash 3x with PBS. Incubate with secondary overnight.
Day 3: Wash the second antibody and leave the cells in PBS at 4ºC
Day 4: Stain with DAPI, wash with PBS.
Day 5: Imaging
Do you think it will work? In principle if I wash them well and leave them at 4ºC, there should be no problem if the cells will stay in the fridge for one day before staining, since they are in PBS. Does anyone has a suggestion? Any help will be appreciated.
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Hi Maksym,
Conducting this experiment in a 384 well plate without multichannel or automated pipettes will definitely not be a fun adventure. Our lab routinely does immunofluorescence but we typically do not run our analyses in greater than 96 well plates. Our protocol is similar to yours except, if we need to break the protocol overnight, we apply the block and then break the protocol. The other thing is we decant the block but do not do any washes before applying our primary antibody. This would save you quite a bit of hand strain (and time) if you can remove these washes. So ours is fix and permeabilize, wash, block, break overnight (4℃), primary, wash, secondary, wash, nuclear stain, wash, image. Hope this helps.
Leah
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Suppose, we have row vector (1 0 0) and column vector (1; 0 ; 0). Now, both can be used to represent unit x-axis. How to differentiate? What specifically row and column vector in form of matrix represent physically?
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You can go through the topic of dual space associated with a vector space, in this regard.
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dear all,
i'am searching for some good reviews in the field of hydrogen use, hydrogen effect, hydrogen fuel technology in the field of sports and medicine.
please share your papers with me.
is there some research in the field of regeneration in sports and post operation in medicine?
is there some research in special sports like triathlon, canoe, swimming and lifting?
thanks.
beste regards
torsten
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Dear Torsten, here are more recent papers:
Alharbi AAD, Ebine N, Nakae S, Hojo T, Fukuoka Y. Application of Molecular Hydrogen as an Antioxidant in Responses to Ventilatory and Ergogenic Adjustments during Incremental Exercise in Humans. Nutrients 2021;13(2):459.
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Hi guys!
As a part of the preliminary analysis, I want to show that the items used to measure attitude are valid and can be computed into a single factor score.
(NOTE: I know they are valid from other studies, I just want to present it in the paper as a double-check. It is really not the main purpose of the paper, but it is a good option to learn for me).
I've been told to run a principal components analysis and report the explained % of the variance of the first component row in the "total variance explained" box.
  1. I am confused as to, why it is only the % of the first row that needs to be reported. And what I would actually be telling, by reporting only the biggest percentage of 1 component.
An example of the written output should be something like:
"Factor score of attitudes (single-factor principal component analysis explained xx% of the variance) was computed by averaging the item score (reliability: Cronbach's alpha =x)"
Rather than just writing as I've been told, I really want to understand this. However, I have yet to find any explanations or examples of this in other research papers.
So I hope some of you clever people could help me
Kind regards
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Hello Ida,
The premise that a set of variables is unidimensional would imply that the proportion of variance explained by the first extracted factor or component (though you're being advised to use PCA, I would recommend factor analysis with a principal axis or maximum likelihood extraction method instead) was: (a) "substantial," with (b) good item-factor (or item-component) loadings for all items, and (c) subsequent factors/components, if extracted, were "minor" relative to the first. The first part (a) is the reason you were given the suggestion to look only at the variance accounted for for the first extracted component.
I would suggest that a better approach to verifying that the measure structure held with your sample would be to run a confirmatory factor analysis (for the declared one-factor model).
Good luck with your work.
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Very technical study. Kerp it up dear Hung Chung. I do hope you will get success.
My best wishes
Dr Sudhir Yadav
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Hi everyone,
I am working on a project using thematic qualitative content analysis and have been stuck with the profile matrix since I am unsure of how to deal with the fact that i have different data for the same "cases".
The data encompasses:
- 4 interviews with key informants from 5 gardener-associations (1 informant is part of 2 associations)
- information from websites, social media etc. of the same 5 gardener-associations
- 1 interview with a key informant from a housing company working with gardening-projects
- 1 interview with a key informant from the municipal office responsible for gardening on public land
- legal documents regarding the gardening on public land
Now, how should I design the profile matrix?
7 rows/columns for the 5 associations, 1 housing company and 1 municipal department and "merge" the diverse data-sources? And how should I deal with the interview that concerns 2 of the 5 associations?
I appreciate all advice and feed-back!
// Katharina
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Sinan Baran Bayar Alright, thanks a lot!!
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i have Question about relativity
In which row of the periodic table we should start considering relativistic effect ? And why ?
(I know that it is related to the speed of electron), How many percentage of speed of light is sufficient to apply Relativistic effect !?
thank you in advance
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thank you
Dwight Walsh
and Magnus Hanson-Heine for the Clarification,
i have another question related to relativity.
what is the impact of scalar relativistic formalism ?what's the the phenomena is correctly resolved if we implement scalar relativistic formalism? and what if we implement Dirac relativistic formalism what's resolved ?
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Hi everyone, I am working on plant community data. I have three different types of plant diversity, taxonomic (TD), functional (FD) and phylogenetic (PD) which are explained by different drivers (e.g., site, soil C/N, grazing intensity, temperature, ...) in a different way. So I have a contingency table with TD, FD and PD on the three rows and drivers on the seven columns. Values are the contribution of each driver expressed in percentage values, so the sum of each row is 100.
The goal of my project is define if values are significantly different between diversity levels, considering two diversity at a time (e.g., are drivers values significantly different between TD and FD?).
I do not know what statistical test to use and which could be the R package to do so.
Thanks in advance
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First, the standard advice is to have your cells sum to 100% "within the independent variable." I do not know enough about your field to distinguish which way to apply this, but the basic idea is that you will see an effect if the results of the independent variable (i.e., the dependent variables) are different across the categories of the independent variable.
Second, the statistic that would usually be appropriate here is Chi-sq, unless you have very low epsected values in the cells (usually less than 5). In that case, you should consider Fisher's Exact test. So, this is basically a function of sample size in terms of how many observations you have per cell.
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Does anyone have ever troubled with an error of parallel calculation? See blow
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R Version: R version 4.0.3
snowfall 1.84-6.1 initialized (using snow 0.4-3): parallel execution on 5 CPUs.
Library biomod2 loaded.
Library biomod2 loaded in cluster.
Error in checkForRemoteErros(Val):
5 nodes produced errors; first error: arguments imply differing number of rows: 5
2531200,0
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Thank you very much!
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can you provide the code?
For example:
library(qdap) spellcheckstring = "universal motor vlb" mydictionary = c("brake", "starter", "shock", "pad", "kit", "bore", "toyota", "ford", "pump", "nissan", "gas", "alternator", "switch") class(spellcheckstring) # character class(mydictionary) # character check_spelling(spellcheckstring, dictionary = mydictionary)
ERROR: Error in checkForRemoteErrors(val) : one node produced an error: arguments imply differing number of rows: 3, 0
SOLUTIONS:
The dictionary is so small that when it is split up (https://github.com/trinker/qdapTRUE) there are no possible matches for that letter. Use assume.first.correct=FALSE:
check_spelling(spellcheckstring, dictionary = mydictionary, assume.first.correct=FALSE)
Version 2.2.5 (dev version) automatically enforces assume.first.correct=FALSE if custom dictionary does not have at least one word beginning with all 26 letters of the alphabet.
Get the latest release of qdap
if (!require("pacman")) install.packages("pacman") pacman::p_load_gh( "trinker/qdapDictionaries", "trinker/qdapRegex", "trinker/qdapTools", "trinker/qdap" )
AS YOU CAN SEE IT IS VERY LIKE BUT WITHOUT YOUR CODE IT IS IMPOSSIBLE
AS YOU CAN SEE IT IS VERY LIKE BUT WITHOUT YOUR CODE IT IS IMPOSSIBLE
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Our data is in .csv format and hence after Run it is showing error. Our data has gene name in rows and base mean, fold change, p value , p adj in columns. The data was from ncbi geo database. If someone can help, please guide.
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I do not have an answer to your question, but if you need to process this kind of data often, I hugely recommend installing linux ubuntu. Processing large data files in bash terminal is easier and faster than struggling with windows software. Bash terminal is easy to learn anywhere on internet. Good luck.
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I applied this method to bird plasma samples.
I loaded the plate image to be more clearer.
In A, B, and C rows there is the same sample in three different amount;
In D and E rows there is another sample in two different amounts. F row is empty because of the small plasma amount available for this sample;
In G and H rows there are the two samples pre-heated before titatrion, in order to inactivate the complement activity.
I can see the difference between wells with agglutination (Ag) (a sort of mat in the well bottom) and not agglutination (a red point).
I do not understand why in column 12 it looks like there is Ag (because it is similar to other columns), even if it is the negative control (just PBS and Rabbit RBCs). The point is, what situation is the right one between:
- there is no Ag even in the previous columns
or
- it happened something that we see Ag in column 12 as well.
Thank you very much in advance to whom will help me.
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Hello, Angeles Zorrilla Lopez-Perea,
Thank you very much for your answer.
I made the plate in the pic with my samples and I know what the wells contain.
The problem is that I don't see an evident difference, for example in row D, between well D12 and wells from D5 up to D11.
Therefore, considering that the well D12 is the negative ctrl and the other wells of the same row are similar to it, maybe there is no Ag also in the other wells, but if that is true I should expect a dripping in the wells (rabbit RBCs deposited), especially in the negative ctrl (like this that you can see in row G and H).
Column 11 is marked because the serial dilution ends there.
Thank you again
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Hi,
Some background to my question:
I have fitted 1st order multinomial Markov models with covariates.
Since all probabiilties (for each row of the transition matrix) sum to 1, I estimate only the probabilities and respective se's and CI's for the first k-1 of K states in each row of the transition matrix.
Therefore, It is easy to calculate the last transition probability estimate from the other k-1 estimates (for each row of the transition matrix).
However, it is unclear to me how I would obtain the confidence interval for the last category.
Is there a trick how to do that?
Or is there a way how I can approximate the se of the probability of the last category from the estimates of the se from the first k-1 categories?
I hope that my explanation of what my question is, is clear enough.
Thanks for anyone who can provide hints how to do it!
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