What would you suggest to pivot from research in life sciences to science and policy making?

Say, I have two topics;

1. the survival of kittens and the parent's breed

2. the government's contribution to service provision

Thank you

If I assign participants to a condition (between-subject) by the order they join the research (e.g., 1st participant goes to cond. A, 2nd part. to cond. B, 3rd part. to cond. C, 4th part. to cond. A, 5th part. to cond. B, 6th part. to cond. C, 7th part. to cond. A, and so on...).

What kind of design is that? Is it possible to call it "Blocked Randomization"? Any studies that used a similar approach?

PS: I am recruiting participants online and once they agree to participate, they'll be assigned to a condition depending by who's turn (e.g., I started by assigning part. 1 to cond. A, it follows that part. 2 goes to cond. B, 3 to C, 4 to A, and so on...)

Thanks in advance

I'm looking for research partners or work together as a research team. I am a Ph.D. candidate in Business administration and my research direction is strategic management, industrial management. Presently, my research focuses on Technology innovation, dominant design, patent pool, ecosystem, technology competition, standard, and cooperation.

Any recommendations to someone would be much appreciated

Any previous research to support that Organizational strategies that impact adopting AI in construction are considered as the controlled variables through the research in relation to the dependent variable of project performance measurements.

Strategies Learning -change -knowlwedge

I have around 180 responses to 56 questions. Each respondent was asked to rate each question on the sale of -1 to 7. This is based on Schwartz (1992) Theory and I decided to keep it the same.

I used Principal Components as the method, and Oblique (Promax) Rotation. I had to modify iterations for Convergence from 25 to 29 to get rotations.

Looking at the Pattern Matrix Table (on SPSS). I noted that there are some cross loading taking place between different factors/ components. These are greater than 0.3 in some instances and sometimes even two factors or more have similar values of around 0.5 or so.

What do I do in this case? Do I remove such variables all together to see how this affects the results? My initial attempt showed there was not much change and the number of factors remained the same.

To clarify, as I have 56 variables, I am trying to reduce this to underlying constructs to help me better understand my results. Using Factor Analysis I got 15 Factors with with 66.2% cumulative variance.

Hello,

I am attempting to compute the counterpoise correction for several pure sulfuric acid clusters. We have been able to completely compute (H2SO4)1-5, but are having issues beyond this. Despite using the fully-optimized clusters by #PW91PW91/6-311++G(3df,3pd)/auto opt freq. The issue occurring is the error message of after leaving link 122....

Basis read from rwf: (5D, 7F)

No pseudopotential information found on rwf file.

The combination of multiplicity 1 and 65 electrons is impossible.

Now the cluster is charge neutral...

the input information is as follows.....

%mem=800MW

%nproc=8

#PW91PW91/6-311++G(3df,3pd)/auto counterpoise=6 SP

Required

0 1 0 1 0 1 0 1 0 1 0 1 0 1

S(Fragment=1) 5.63290100 0.52591500 0.76587900

O(Fragment=1) 4.63936500 1.16263000 -0.08688600

O(Fragment=1) 6.05347300 -0.83160800 0.13301600

O(Fragment=1) 6.94306300 1.33994500 0.65171200

O(Fragment=1) 5.25034000 0.34952700 2.16284200

H(Fragment=1) 7.39300400 1.00699600 1.51062400

H(Fragment=1) 5.24104300 -1.41327900 -0.08587100

S(Fragment=2) 1.31089800 1.96295600 0.00138900

O(Fragment=2) 2.60913400 2.66555700 0.48177000

O(Fragment=2) 0.29223700 2.99563700 0.02151000

O(Fragment=2) 1.54793500 1.26440500 -1.25355300

O(Fragment=2) 0.92009900 0.93747700 1.11423800

H(Fragment=2) 2.05312200 -0.23818000 -1.58451200

H(Fragment=2) 1.34967300 0.03539000 0.93617400

S(Fragment=3) 2.64973400 -2.01929800 -0.53556800

O(Fragment=3) 2.37814300 -1.16712900 -1.81864300

O(Fragment=3) 2.08092000 -1.34570000 0.62717700

O(Fragment=3) 1.92873900 -3.35507800 -0.82178700

O(Fragment=3) 4.05756700 -2.36541000 -0.47035000

H(Fragment=3) 3.43328000 2.09364100 0.29286500

S(Fragment=3) -1.59995000 -2.19358300 -0.59944000

O(Fragment=4) -1.63664300 -2.02052800 0.94452000

O(Fragment=4) -0.92396300 -0.88719400 -1.16007100

O(Fragment=4) -0.65874400 -3.25555200 -0.88460700

O(Fragment=4) -2.94534700 -2.31840700 -1.13075700

H(Fragment=4) -2.46136200 -1.46572700 1.22444700

H(Fragment=4) 0.91162300 -3.25800500 -0.83419000

H(Fragment=4) -1.56635800 -0.12145800 -1.23668400

S(Fragment=5) -3.06860300 2.37293800 -0.79259600

O(Fragment=5) -2.46789700 1.25244000 -1.47857300

O(Fragment=5) -2.93579700 3.56475300 -1.84378800

O(Fragment=5) -4.44404000 2.30367100 -0.35339800

O(Fragment=5) -2.23238800 2.81962200 0.43482600

H(Fragment=5) -1.22163100 2.84246600 0.24659300

H(Fragment=5) -2.34377200 3.08871200 -2.45853500

S(Fragment=6) -5.08346100 -0.82219700 1.28284900

O(Fragment=6) -3.64784100 -0.55065400 1.47057800

O(Fragment=6) -5.78111100 -1.60969300 2.24616600

O(Fragment=6) -5.82094300 0.55602500 1.17969900

H(Fragment=6) -5.30047600 1.18573100 0.60420600

O(Fragment=6) -5.27474800 -1.40827400 -0.17138700

H(Fragment=6) -4.40490500 -1.75564900 -0.52936900

1 2 2.0 3 1.5 4 1.5 5 2.0

2

3

4

5

6

7

8 9 1.5 10 2.0 11 2.0 12 1.5

9

10

11

12 14 1.0

13 16 1.0

14

15 16 1.5 17 2.0 18 1.5 19 2.0

16

17

18

19

20

21 22 1.5 23 1.0 24 2.0 25 2.0

22

23 28 1.0

24

25

26

27

28

29 30 2.0 31 1.0 32 2.0 33 1.5

30

31 35 1.0

32

33

34

35

36 37 2.0 38 2.0 39 1.5 41 1.0

37

38

39 40 1.0

40

41 42 1.0

42

I have attempted to to use

#PW91PW91/6-311++G(3df,3pd)/auto pseudo=read counterpoise=6 SP

and the file immediatley crashes eith error message

Standard basis: 6-311++G(3df,3pd) (5D, 7F)

======================================================================================================

Pseudopotential Parameters

======================================================================================================

Center Atomic Valence Angular Power

Number Number Electrons Momentum of R Exponent Coefficient SO-Coeffient

======================================================================================================

Wanted an integer as input.

Found a floating point number as input.

1 2 2.0 3 1.5 4 1.5 5 2.0

?

and also tired....

#PW91PW91/6-311++G(3df,3pd)/auto pseudo=read counterpoise=6 nosymm SP

and the following error message for the log file...

Standard basis: 6-311++G(3df,3pd) (5D, 7F)

======================================================================================================

Pseudopotential Parameters

======================================================================================================

Center Atomic Valence Angular Power

Number Number Electrons Momentum of R Exponent Coefficient SO-Coeffient

======================================================================================================

Wanted an integer as input.

Found a floating point number as input.

1 2 2.0 3 1.5 4 1.5 5 2.0

?

Does anyone have any suggestions to solve this issue

Thanks

I'd like to sequence the genome of the gopher tortoise. The genomes of congeners are ~2.4Gb. I'm trying to decide how much coverage is necessary; we plan to run the sample on a portion of a NovaSeq run, and at least one PacBio SmrtCell. I'm trying to evaluate the benefits of additional sequencing effort: my starting point would be something like 30x coverage for the 2x150 NovaSeq run, and one PacBio SmrtCell (~8x coverage with HiFi reads? Not so sure about this), but i'm wondering how necessary a second PacBio cell, or additional Illumina reads, would be for assembling a nice genome.

We don't have any tissues available for transcriptomics, and the immediate application will be to map whole-genome methylation seq reads to the genome.

I'm pretty new to all of this, so any suggestions or references to guidelines are most welcome! Thanks!

I want to extract good amount of high quality RNA from human lung epithelial cells. I have pellets of nearly 1X10^7 cells per tube. I need very high purity total RNA that can be successfully used for subsequent Nanopore RNA sequencing. Can anyone suggest a good method please. Thanks.