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marketingprofitmedia · 11 months ago

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Scalar App Review – Making Us $852.35 Daily In Autopilot

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Scalar App Review: Overview

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Scalar App Review: About Authors

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Scalar App Review: Features

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Scalar App Review: How Does It Work?

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Scalar App Review: Pros and Cons

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Scalar App Review: My Recommendation

Scalar App presents an intriguing proposition for affiliate marketers seeking automation. However, its effectiveness remains unproven, and ethical considerations regarding AI-generated content require careful evaluation. Consider exploring free or low-cost alternatives and prioritizing high-quality human-crafted content for optimal results. Remember, affiliate marketing success hinges on establishing trust with your audience, and that can’t be fully automated.

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Check Out My Previous Reviews: AI Gigz Hub Review, WP Funnels Review, Gizmo Review, Auto Health Sites Review, Vocal Clone AI Review, TubeBuildr AI Review, ClickSchedule Ai Review, PuzzleBooks AI Review, & TalkGPT Review.

Thank for reading my Scalar App Review till the end. Hope it will help you to make purchase decision perfectly.

Disclaimer: Due to the lack of a publicly available website and limited verifiable information about Scalar App, this review is based on scattered sources and should be approached with caution. It is recommended to conduct further research before making any decisions.

Note: This is a paid software, and the one-time price is $17 for lifetime.

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earlgraytay · 7 years ago

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paradoxcase replied to your post “[content warning: discussion of violent homo/transphobia, misogyny,...”

I don't think the definition you're using is the real one. Privilege is just certain things being easier for some people than others. Power is a separate thing, although it can be related. There is no "level" of privilege, there are only different kinds of privilege, which can't really be compared on any scalar metric. Any kind of analysis like this that starts with technical social science terms as defined by tumblr is doomed to failure.

The problem is that a) there’s no written-in-stone definition of most SJ-related words and concepts, even in academia, and b) the loose, Tumblresque definition of the word ‘privilege’ is the one you’re most likely to see in the wild.

If there were clear, objective definitions of words- like the 1 kilo weight they keep in a vaccuum chamber to keep the kilogram standardised- then you’d be right, I’d be wildly off-base here. But most words have fluid definitions, and many words have different definitions in different settings. Furthermore, the most common definition of the word is the one that’s used (and misused) in popular settings, regardless of whether there’s a more ‘correct’ definition.

I’m sure there are academic definitions of the word ‘privilege’ that are clearer and more elegant than the one most commonly used on Tumblr, and do not fall into the pitfalls that bad Tumblr discourse can fall into. Multiple definitions, which are fiercely debated by various feminist/afrohumanist/queer-theorist scholars. The trouble is, no one is using those definitions outside academia.

The definition of the word ‘privilege’ that people use on Tumblr is derived mostly from a badly-remembered version of Unpacking the Invisible Knapsack. It looks like the full version of the essay is more complicated than the version I read on Tumblr (hah, fancy that). But the Tumblr understanding of ‘privilege’ is based on the metaphor that ‘privilege’ is like not having a knapsack full of rocks; every marginalised person has one or more rocks of Disadvantage in their knapsack, and privileged people can’t understand why they can’t keep up. This definition combines the academic concept of privilege (which I always understood as ‘having blind spots; not having to notice other people’s problems’) with the academic definition of social power (being able to do more in the world than other people).

I think this is a good (if flawed) metaphor, but when you combine it with several other toxic tendencies of Tumblr... well, you get the really shitty understanding of privilege I talked about in my essay.

The whole ‘privileged people should sit down, shut up, and listen’ thing, for example, means that in order to have a voice in SJ communities, you have to prove that you are as Disadvantaged As Possible for people to take you seriously. For example: if you’re a man who wants to talk about male rape/abuse, you absolutely have to be a survivor and be willing to talk about it in gory detail. If you aren’t or don’t, people will assume you’re trolling. (And even if you do, they will accuse you of going ‘what about teh menz’. I’m not speaking from experience here, why do you ask. </sarcasm>)

Another example is the way that people - again, on Tumblr- tend to assume that someone who disagrees with the Prevailing Tumblr Opinion is a privileged person. I have an acquaintance who’s mixed-race and disabled, and has unpopular opinions about both things. (For example: she doesn’t think alternative medicine is culturally appropriative, and she is strongly pro-recovery.) You would not believe how much hatred she gets for ‘being a white girl’ and ‘being an abled person’, because she has an opinion that other people don’t share. Clearly she doesn’t have the same amount of rocks in her backpack that they have, or she’d see that they were right; she must be privileged.

And the thing is, because Tumblr culture has a pretty large amount of influence on younger feminist/queer/anti-racist communities, this definition of privilege is the one that’s spread in the wider sphere, and it’s kind of choked out any other definition when it comes to SJ. Heck, ‘privilege’ used to mean ‘the rights noblemen have that common folks don’t', and outside of the UK, you don’t see the word used that way often. If enough people start using a word a certain way, that becomes the prevailing meaning of the word- regardless of whether it’s the ‘right’ one or not.

So this definition of privilege is the one you’ll find on pop-feminist websites; it’s the one you’ll find when Very Serious People in the more mainstream media start talking about those ~wacky feminists~ and the ~things they believe~; it’s the one that’s (maliciously) misinterpreted by conservatives and by the alt-right.

I think that definition is extremely flawed, especially because (again) it doesn’t recognise that privilege is a fluid quality, that it changes over time, that the whitest-cissest-straightest man in the world can still lose privilege by doing certain things and the blackest-transest-gayest woman in the world can still claw out a certain amount of privilege for herself, or that the amount of privilege you have is highly dependent on your society and the circumstances around you. I think even some of the more academic definitions I’ve heard are flawed in this way, but the prevailing Tumblr understanding of the word is completely broken.

So, yes, I’m defining social terms as used by Tumblr. But a) whether or not it’s the ‘right’ definition of the word, it’s the one used most often in common parlance, and b) this essay was aimed at people on Tumblr anyway, not at academics.

#paradoxcase #words mean things #the earl has an opinion #tumblr malarkey #general malarkey

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mechanicalengineeringblog · 8 years ago

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Correlating Simulation & Modal Test Results with Simcenter 3D

Quick Overview

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A powerful way of reducing design conservatism is to validate the finite element model used to simulate its performance. Comparing the simulation model’s natural frequencies and mode shapes with those acquired in test generates confidence in the model’s ability to represent the as-built structure. This in turn allows analysts to reduce the safety factors used to compute structural margins of safety. Simcenter 3D FE Model Correlation supports both test and simulation engineers who wish to perform such a comparison, efficiently providing both visual and quantitative feedback.

Background

The Modal Assurance Criterion (MAC) is a parameter indicating the degree of consistency between a mode shape from test and another one from simulation. This parameter is a scalar value between 0 and 1: A MAC value near 1 indicates a high degree of correlation or consistency between two mode shapes.

Suppose {ΨA} and {ΨX} are two mode shapes that you want to compare: Their MAC is expressed as follows:

Where:

N is the number of common simulation and test mode shape components

The superscript * indicates the complex conjugate value.

There are LA x LX MAC numbers for given mode shape matrices [ΨA] and [ΨX], where LA is the number of mode shapes in [ΨA] and LX is the number of mode shapes in [ΨX]. These are presented in matrix format:

Problem Definition

We wish to compare the natural frequencies and mode shapes of an aircraft engine nacelle finite element model with the equivalent data acquired during a modal test of the actual structure:

The model and test article both represent half the nacelle.

1. Normal Modes Solution

First we create an NX Nastran normal modes solution, requesting the first 20 free-free (unconstrained) modes of the FEM. The first 6 modes describe rigid body motion, in which the structure moves without any internal strain. The next 14 modes are elastic modes, which are the ones we are interested in correlating.

In the simulation navigator, select the top-most sim node and right-click New Solution

The Solution dialog pops up. Enter a Name and as Solution Type, select Sol 103 Real Eigenvalues from the list

In the Case Control tab of the Solution dialog, next to Lanczos data click Create Modeling Object

In the Real Eigenvalues Lanczos dialog, enter 20 as the Number of Desired Modes. Click OK twice.

In the sim navigator, select the solution, right-click, Solve

After the solution is complete, the mode shapes can be displayed from the post navigator.

2. Import Test Geometry and Results

In the Correlation tab of the Simcenter 3D ribbon, click New Test Reference Solution

Set the Solution Type to Modal Test Data, and then select a Geometry File which contains the test geometry (test sensors, coordinate systems and traces) as well as a Modes File containing the test mode shapes and natural frequencies. In this case, the same file contains both the geometry and the mode shapes.

Click OK. There are now 2 solutions in the sim file.

Since Solution 1 is active and points to imported geometry, the fem is now displayed as monotonic grey.

3. Align the Test Model

In the sim navigator, under Solution 1, select the Test Model node, and right-click Show Model.

You can also click Show Sensors, to see the individual sensors as triads.

It is clear that the test model and the FEM do not share the same global coordinate system. The test model will have to be aligned with the FEM in order for correlation to be possible.

In the sim navigator, under Solution 1, select the Test Model node, and right-click Alignment. The Alignment Control dialog will appear, allowing you to choose 3 test nodes and the equivalent 3 nodes in the FEM. Checking on Preview allows you to see the cumulative effect of the pairs you have selected.

You may need to repeat this step if it is not clear which test sensors correspond to which nodes. After you have successfully performed the alignment, you may select Fine Tune Alignment to further nudge the test model by specifying discrete translations and rotations.

4. Create a Correlation

In the Correlation tab of the Simcenter 3D ribbon, click New Correlation

The Correlation dialog appears. Select test Solution 1 as the Reference Solution, and your normal modes solution as the Work Solution

By default, low-frequency (rigid-body) modes are filtered out. In the Node Map Settings group, enter 75 mm as the matching tolerance between the test sensors and the FEM nodes. Click OK.

Based on the alignment that was performed, and the tolerance entered in the last step, Simcenter FE Model Correlation was able to map 51 sensors to the FE model nodes, based on proximity. If you repeat the alignment and choose different alignment node pairs, you will see a different number of paired nodes in brackets. The test and analysis mode shapes will be interrogated at these 51 locations to determine the MAC.

Next, select the Mode Pairing node under Correlation 1, right-click Edit. The default mode pairing criterion is MAC with a minimum value of 0.7: This means that test and analysis modes having the greatest MAC value above 0.7 will be paired, others will not be paired. For example, work (analysis) mode 12 is not paired to any test mode.

Other pairing methods can be selected.

Next, select the Mode Pairs (n) node under the Mode Pairing node and click the Correlation Details View bar

This pops up the Correlation Details View, which shows the test (reference) and analysis (work) frequencies, percent frequency error and MAC, for each mode pair.

Select any mode pair row in the table, right-click Side-by-Side Animation:

This will bring up a synchronized 2-view layout, showing the test and analysis mode shape animation

Select the Correlation Metrics node under Correlation 1, right-click Correlate. In the Correlate dialog, click Show Results Heat Map

The heat map display shows the MAC matrix

In the Correlate dialog, click Show Results Spreadsheet

SC FE Model Correlation will send the MAC matrix to an Excel spreadsheet.

Select the Correlation Metrics node under Correlation 1, right-click Generate 1-COMAC Results.

This will show sensors at which the individual MAC components are poorest.

#engineering #simcenter #siemensplm

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