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I'm trying to run a multigroup SEM, but I'm getting the following error. Can you help me?
ERROR:
THE MODEL ESTIMATION TERMINATED NORMALLY
THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES COULD NOT BE
COMPUTED. THE MODEL MAY NOT BE IDENTIFIED. CHECK YOUR MODEL.
PROBLEM INVOLVING THE FOLLOWING PARAMETER:
Parameter 191, Group CIS: [ SAT ]
THE CONDITION NUMBER IS -0.313D-17.
SYNTAX:
VARIABLE:
NAMES ARE DA1-DA9 DD1-DD9 DG1-DG13
SAT1-SAT20 DP1-DP6
GRUPO;
USEVARIABLE ARE DA1-DA9
SAT1-SAT20 ;
CATEGORICAL ARE DA1-DA9
SAT1-SAT20;
GROUPING is GRUPO (1=CIS, 2=TRANS);
ANALYSIS:
TYPE=mgroup;
ESTIMATOR IS wlsmv;
parameterization = Theta ;
MODEL:
SOBR by SAT1-SAT4*;
SOBR@1;
CONT by SAT5-SAT8*;
CONT@1;
COMPET by SAT9-SAT12*;
COMPET@1;
PERT by SAT13-SAT16*;
PERT@1;
AUTON by SAT17-SAT20*;
AUTON@1;
SAT by SOBR CONT COMPET PERT AUTON;
DISANT by DA1-DA9*;
DISANT@1;
SAT on DISANT;
OUTPUT: MODINDICES STDYX CINTERVAL ;
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When I try to connect cooling coil type 996 with absorption chiller type 665, I get the following error message.
The subroutine SAT of the utility routine PSYCHROMETRICS, which calculates the thermodynamic properties of moist air, has been called with a temperature below absolute zero (-273 C). Please check the TYPE routine which calls the psychrometrics routine for possible sources of errors.
the error occured ,but i didn't find anything was going wrong in mysimulation ,and just this error
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TRNSYS Error 118 typically indicates an issue with the input data or the simulation setup. Here are some steps you can take to resolve it:
1. **Check Input Data**: Verify that all input data files required for your simulation are correctly formatted and contain valid data. Pay special attention to any data files referenced in your TRNSYS project.
2. **Review Component Inputs**: Double-check the inputs and parameters for each component in your TRNSYS project. Ensure that all inputs are within valid ranges and that there are no conflicting settings.
3. **Inspect Connections**: Review the connections between components to ensure they are properly defined and compatible. Make sure that inputs and outputs are connected appropriately and that there are no missing or redundant connections.
4. **Validate Models**: Check the models used in your simulation for errors or inconsistencies. Ensure that any custom or user-defined models are correctly implemented and that they produce the expected results.
5. **Debugging Tools**: Use TRNSYS debugging tools, such as the TRNSED editor or TRACE mode, to identify the specific source of the error. These tools can help pinpoint the component or input causing the issue.
6. **Consult Documentation**: Refer to the TRNSYS documentation, including manuals, tutorials, and forums, for guidance on troubleshooting Error 118 and resolving common simulation problems.
7. **Contact Support**: If you're unable to resolve the error on your own, consider reaching out to the TRNSYS support team or community for assistance. Provide detailed information about your simulation setup and any error messages to facilitate troubleshooting.
By following these steps and systematically diagnosing the problem, you can effectively address TRNSYS Error 118 and ensure the successful execution of your simulation.
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Hello! I received a model of a concrete bench as a SAT file. Then i used Fusion360 to insert an infill pattern inside the concrete bench, now i want to model this in Abaqus but i can't get Abaqus to mesh the part can somebody help me? I have attached the two SAT files with an infill pattern.
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Jarne De Vleeschauwer Unfortunately, during the geometry conversion, particularly at the edges where internal connectivity was established in your modeling, overlapping surfaces have been detected. This could lead to issues with the analysis. To resolve this, please remodel or simplify the geometry, particularly focusing on the areas highlighted in the attached mesh screenshots. While this mesh can technically be used, it's highly advisable to remove the unnecessary overlapping surfaces for optimal results. The ABAQUS algorithm may not interpret overlapping surfaces correctly, potentially leading to inaccurate analysis. If you encounter further difficulties after addressing the overlaps, please don't hesitate to reach out for assistance on my WhatsApp; Https://wa.me/+923440907874
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Please, check my P=NP proof for errors:
Please reply with a comment if you find any errors and if you find none, too.
The proof uses logic (incompleteness of ZFC), algorithms accepting algorithms as arguments, reducing SAT to another NP-problem, inversions of bijections.
The proof does not present a practically feasible NP-complete algorithm (so, I don't yet mine Bitcoin by it).
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I found an error in my proof.
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Weather stations are key facilities to record long-term change in surface air temperature (SAT) in land. However, some weather stations are located in or near cities, and they may suffer from relocations due to the expansion of the cities and the resulting deterioration of observing settings. This is especially true in developing regions like China mainland. Most of the national stations in this region have been relocated for at least one time.
The practice has led to breakpoints in the SAT data series, and researchers have to make an adjustment called homogenization before they go further to analyze long-term change in SAT. Different homogenization procedures produced different results of the SAT trends, with some effectively restoring the urbanization effect in the historical SAT records. Thus the homogenization will bring in a new bias in the site and regional SAT data series.
Each country or region may have different practices when the weather stations are engulfed by buildings. What are you seeing in your countries or regions? Have the observational stations been also moved away from urban areas? How do you think about the possible influence of urbanization on the historical SAT records no matter what strategies have been practiced?
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Interesting and practical question Prof Guoyu Ren , in developing and rapidly
evolving economies such as India, this concern resonates deeply, particularly in regions undergoing dynamic land-use transformations, often under the aegis of initiatives like "Smart City" developments. In these scenarios, meteorological stations that have been consistently recording data (SAT) over extended periods encounter disruptions, potentially compromising the integrity and continuity of the data. This phenomenon necessitates rigorous methodologies to ensure data homogeneity and compensate for any anomalies introduced by such transitions.
In India, the central agency, the relocation of India Meteorological Department (IMD) is responsible for maintaining and managing weather stations and it is done with meticulous care to ensure the continuity and integrity of meteorological data. The India Meteorological Department (IMD) often applies data homogenization techniques to maintain data consistency post-relocation. The standard practice is when moving stations with similar climatic conditions to the original, and occasionally, both old and new stations operate simultaneously to gauge data variations. Additionally, any relocation or significant station event is thoroughly documented, and regular equipment maintenance and calibration are prioritized, ensuring optimal accuracy in readings. But even after all these measures, it is highly unlikely to have the data completely error-free.
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"There are many studies, and they all throw slightly different statistics. But researcher Brien D. Ray found that overall, 78% of the compared and reviewed studies confirm that homeschooled children performed significantly better than their public schooled peers in terms of academic performance."
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My dear, it is possible if all conditions are met .... Greetings
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I am creating 5 different regression models to measure a single phenomenon, tuition discounts. Tuition discounts are my independent variable in each regression. The Dependent variables are revenue, SAT scores, and percentage of underrepresented races. Each regression also has control variables such as net tuition price, endowment, total enrollment. My question is: can I use percentage of race as a control variable for my regression measuring the relationship between tuition discounts and SAT scores? Percentage of race is a good predictor for SAT scores so it makes sense to use as a control, but it is a dependent variable in one of my other regressions. It seems a little cannibalistic to use the variable in two places.
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Yes you can on Design of Experment
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Hey guys. I am reading a great article (Ross, D. T.; Perou, C. M. Dis. Markers 2001, 17, 99–109), and am trying to figure out the genetic footprints and differences between 2 tumor cell lines. First I tried to manually compare colors in the original figure (http://genome-www.stanford.edu/breast_cancer/cell_line_review2001/images/figure1.html) and find red/green pairs, but something tells me there’s a more elegant way to use data. So I found supplementary sheets made by GenePix software (http://genome-www.stanford.edu/breast_cancer/cell_line_review2001/data/), for cell lines that I was interested in. These sheets got a bunch of columns with different names and values for every gene. Since I’m not familiar with gene expression lingo, could somebody point me to a column that shows the level of expression of a particular gene, ie the exact column that correlates to the color in the above linked picture?
Thanx!
Here are the columns:
SPOT
NAME
Clone ID
Gene Symbol
Gene Name
Cluster ID
Accession
Preferred name
CH1D_MEDIAN
CH1I_MEDIAN
CH1_PER_SAT
CH1I_SD
CH1B_MEAN
CH1B_MEDIAN
CH1B_SD
CH1D_MEAN
CH2I_MEAN
CH2D_MEAN
CH2D_MEDIAN
CH2I_MEDIAN
CH2_PER_SAT
CH2I_SD
CH2B_MEAN
CH2B_MEDIAN
CH2B_SD
CH2BN_MEDIAN
CH2DN_MEAN
CH2IN_MEAN
CH2DN_MEDIAN
CH2IN_MEDIAN
CORR
DIAMETER
FLAG
LOG_RAT2N_MEAN
LOG_RAT2N_MEDIAN
PIX_RAT2_MEAN
PIX_RAT2_MEDIAN
PERGTBCH1I_1SD
PERGTBCH1I_2SD
PERGTBCH2I_1SD
PERGTBCH2I_2SD
RAT1_MEAN
RAT1N_MEAN
RAT2_MEAN
RAT2_MEDIAN
RAT2_SD
RAT2N_MEAN
RAT2N_MEDIAN
REGR
SUM_MEAN
SUM_MEDIAN
TOT_BPIX
TOT_SPIX
X_COORD
Y_COORD
TOP
BOT
LEFT
RIGHT
SECTOR
SECTORROW
SECTORCOL
SOURCE
PLATE
PROW
PCOL
FAILED
IS_VERIFIED
IS_CONTAMINATED
LUID
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Okay, I'm getting somewhere, and this (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM144001) helps. So, judging by the looks of the descriptions offered, I guess I need LOG_RAT2N_MEAN or RAT2N_MEAN.
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I a master studen in Business Information Management, and nowadays i am writing my thesis as the first research for me.
i have used scales for my 6 variables from different researches as bellow :
ID – (Information Design), GD – (Graphic Design), ND – (Graphic Design) and TRU – (Trust) from Ganguly vd. (2010)
and SAT – (Satisfaction)from Flavian vd. (2006) and
PIN – (Purchase Intention)from Lee ve Lin (2005).
and tested scales Reliability with Cronbach Alfa and their value is all over of 0.7 and tested Validity using correlation matrix (Lee ve Lin, 2005:169) and correlation values are between 0.05 ve 0.67, and when i used regression analysis (stepwise) all of my variables are entered to regression stepwise equation.
so:
1- can i complete my thesis without using factor analysis. Because when i used it just 3 factors appeared (please see attachment image). and don't want to remove any of my variables cause my thesis will completely change.
2- if the factor analysis must be used in every research can i not use them then say that in conclusion part as a restriction.
please i need your help and hop provide me research that did 1- or 2-
and i hope i can get them otherwise my thesis will be so simple
Best regards.
thank you
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The question of whether your original set of scales form a more limited number of factors depends on the correlations among those scales. I suggest you form each of the scales and then examine the correlation matrix among them. If some of them are indeed high (say .8 or above), then it would make more sense to combine them rather than deal with the problem of multicollinearity that would result from trying to separate their effects.
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I'm trying to find a dataset in the form of Excel - with as much data as possible - that include SAT scores of individuals and whether they play a musical instrument or not. Where could I find it?
Or maybe something similar like IQ and musical instruments.
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What am I generating at -4 V and NaCl (aq) solution using carbon (working electrode and counter electrode) and Ag-AgCl-KCl(sat) as reference electrode?
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Dear Almeshal ,
I just now realized that this questions is 4 year old, sorry
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There are various standardized tests. For example, the TOEFL for English proficiency, or the SAT for admission to university. What are they good for? What are they not good for? How accurate are they? Are they a truly general indicator of proficiency or aptitude?
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They are not good at measuring critical thinking and higher-order skills.
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I am working on a project with a large data-set and I am looking for an automated or semi-automated tool to segment Visceral abdominal Tissue, Deep SAT and Superficial SAT.
Thank you!
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Dear Cristiane Tuma Santos,
Look the link, maybe useful.
Regards, Shafagat
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Combined federal and state funding for public education in the US is fast approaching $1 trillion, yet National Center for Education Statistics data, PISA results, and SAT data indicate that student performance has been static in some areas and declining in others, even as performance standards have dropped. Nevertheless, when faced with these data, politicians claim--as they have for several decades--that the "solution" is more money. How do we understand this mindset?
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Dear Williams,
The inverse relationship between a given sector (education, health, ...) is not uncommon. Budget is one thing, but not everything. There are a lot of factors that need be controlled (modeled in the functional relationship between quality of education and budget). One of the factor is budget allocation efficiency or budget alignment. Budget have to be spent where it can bring high impact, such as hiring, retaining and motivating teachers. The second factor is the quality and relevance of the existing curriculum at all levels. The third and most important issue is the role of parents in the day to day follow-up of their offspring: checking how their kids are performing in their exams, communicating with the school administration and proper understanding of their children's aptitude and inclination. The last point is the school environment has to be safe, attractive and motivating for the kids to pursue their education. In conclusion, unless we understand the state of the above factors and how their interacting with the educational system of the country, we cannot have a clear picture, what would have happened without the big money flow into the sector?
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I've been working on a WG design that has been initially modeled and optimized inside CST 2012 to reach a certain VSWR and insertion loss value. Once correct dimensions has been found, I go ahead and replicate the model (1:1 on all parameters) inside Solid Edge. After that I export this replicated model as .SAT in the purpose of importing it inside CST. Once that has been done, I go ahead and simulate this replicated model to verify that I'm having the same results as the model initially designed inside CST. This is where things gets confusing; I'm not able to achieve as good results anymore, in fact, VSWR and IL values are way off! Keep in mind that the models are 1:1 to each other. WG ports are placed at the same place in relation to each other.
I've turned up the mesh density value and the accuracy as well in both cases before starting the simulation. 
I guess it's a side effect when CST tries to mesh imported geometry vs model geometry that has been designed within CST? If that's the case, is there any other file format that maintains the exact/almost exact RF performance as the initial CST modeled geometry?
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I would check the imported geometry. It's possible that Solid Edge created properties (e.g. segmented curves) so that the imported and CST structures are not identical. Don't judge sameness based on the rendering of the models in GUI. Plot and compare the actual mesh. Look for differences, particularly in how curved surfaces or sharp discontinuities are meshed.
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I am working on wireless sensor network.In our case data from dense field of array is routed on UAV, so we can say that UAV work as gateway. I want that data from UAV to base station keeping in mind that we don't have cellular coverage and no station on filed, so option are 
Satellite link Communication.
Ad-hoc Network.
I need some insight what would be the possibilities and which solution is good option. The final system that we want to develop is kind of hybrid solution incorporated cellular as well as SAT or Ad-hoc.    
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The US Air Force sends UAV data via satellite all the time.  Also flight control can be done via satellite when latency is not a problem.  Takeoff and landing are always done via line of sight radio.  USAF uses the term remote piloted aircraft, so try a search for RPA instead of UAV. 
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The industrial instances Max-Sat evaluation are too big. I'm looking for instance that do not have more than few thousands of variables.
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Thank you for your help Mohamed-Mourad Lafifi 
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Does someone could indicate to me an All SAT solver which does not subsume truth-value assignments? p.s.: All SAT solver = a SAT solver which returns all assignments. Thanks!
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You could use BDDs and explore all paths to leaves. Structurally, some variables will be skipped in those paths so you would have to complement each path with the 2^n assignments to the n non-assigned variables along each such path.
Or take any SAT solver, find a satisfying assignment. Since SAT solvers assign every variable, it is a total assignment. Then adds the negation of this assignment (which happens to be a clause) to the original problem and repeat. The enumeration stops when there is no satisfying assignment. It is a bit of work, but I suppose this should be doable in a couple of hours.
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Able to differentiate using scatter plot that one feature is linear in nature while other feature of same data set is non-linear against time cycle.
Both the feature has almost same co-orealtion value against time cycle.
I need to select features having non- linear type only against time cycle.
Note:- co-orelation, covariance or r-sqaured are unable to differentiate it.
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You can use the bispectrum of your time series.
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Hello,
In my lab we are using ELISA to determine antibody titres in sheep sera by several different immunisation regimens. Previously this assay was done last year (four times, due to the serum not being diluted enough to get an endpoint calculated, and various other problems) though consistently we were able to show titres from group A were higher than group B (about 700-fold increase in endpoint titre). We calculate endpoint cutoff using the mean + 2 SD of negative samples (from the sheep before they were immunised). I know this is not 'ideal' but this is looking for differences between groups, rather than seroconversion or some other measurement.
We have repeated the assay to look at a different immunisation regimen, but now group B is coming up higher than group A. This is quite confusing.
The sera have been freeze-thawed a few times (frozen, thawed, aliquoted into plates to freeze, and then thawed for assay). We always make sure we compare sera that have had the same number of freeze-thaw cycles.
This time doing the assay, the student noticed that the thawed serum samples of Group B appeared strange, the protein had aggregated into an oily goo at the bottom, and after vortexing and pipetting mixed back together, but sort of 'settled' again when the samples sat on the bench for about 1 minute (I have observed this too but generally once mixed it stays mixed for at least half an hour).
Is it possible that this is a sign of some aggregation between antibodies, or with lipids in serum, that are increasing signal in the assay? Is there something that can be done to resolubilise the proteins, such as incubating for a long time in detergent?
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Hi Rosemary,
Thanks for your input. I hadn't considered that. I am imagining a scenario where cold agglutinins (or other proteins that can agglutinate) form clumps that the Ab gets trapped or non-specifically bound to, and then when one exposed Ag binding site binds to the plate there are lots of antibodies gunked together and so I detect more antibodies and the titre is higher. We'll try a different freeze down and if it looks funny on thawing maybe a high speed spin.
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I am simulating a building which has about 48 tons cooling load. When I try to connect cooling coil type 697 with absorption chiller type 677, I get the following error message.
"TRNSYS Message 118 : The subroutine SAT of the utility routine PSYCHROMETRICS, which calculates the thermodynamic properties of moist air, has been called with a temperature below absolute zero (-273 C) Please check the type routine which calls the psychrometrics routine for possible sources of errors.
Reported information : Error 118"
If i reduce the cooling capacity of the cooling coil, the error message vanishes but chilled water temperature approches to 500 C.
Can anybody help me with this?
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Please go through the following link for further details of simulation
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 I have some micro CT slices in .tif format. Now I have to make a 3D model (.sat/.iges/.stp format) to analyse with Finite Element software ABAQUS. I can make 3D image (.tif) from CT slice by using matlab. But I can't make it in .sat/.iges/.stp format.I will be happy if someone please help me in this regards. Thanks
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did you solve this problem?  I'm facing the same problem.
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A patient with a H/O laparoscopic hernioplasty with a mesh was investigated for PUO. His culture is negative for Brucella on three separate occasions but SAT positive for Brucella abortus and negative for melitensis.
Subsequently, USG showed pus collection in the surgical site which showed AFB. Culture for mycobacteria has been put up to differentiate between MTB and MOTT.
Can infection with mycobacteria give a false positive SAT for Brucella abortus.
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there are many gram negative bacteria cross reacted with brucella such as yersinia, e.coli , salmonella enteritica, ochrobactrum but I had never read about cross reaction with mycobacteria. may be the patient has mixed infection. What about PCR because some time amount of bacteria in samples have little bacteria that cannot grow in media but give positive with PCR
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I am doing a concurrent validity study for a new assessment tool. I'm comparing the scores for about 200 students using a validated assessment (like the SAT) with scores on this new assessment. Does anyone have suggestions for analysis? I will do correlation between the scores on these two tests, but any suggestions or references would be appreciated.
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OK - I understand. The criterion can be established by people who are experts (among other things).
Yes, that is a good idea. I've done a little of that, but I should definitely do some more speaking with experts. Thank you!
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I can use one SAT-solver several times (http://stackoverflow.com/questions/12252684/can-a-sat-solver-be-used-to-find-all-solutions), but I don't think it is the fastest way to find all feasible assignments. What good implementations do you know?
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This problem is also referred as "all-SAT" (https://www.researchgate.net/publication/220884370_Memory_Efficient_All-Solutions_SAT_Solver_and_Its_Application_for_Reachability_Analysis). Indeed, classical algorithms just uses incremental SAT-calls, excluding the found solutions (cubes) as described in the link. These algorithms also try to minimize these cubes such that not the complete solution has to be excluded (see referred work).
There is some recent work (2014) on this issue. Unfortunately there exist only non-public minisat-extensions. But you may ask the authors of http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6733111&queryText%3Dall-sat