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Never translate the destination address (also known as the target) in a link. The destination address is where a customer goes when they click the link. It's always shown in quotation marks and points to a specific web address.

HTML is sometimes used to give emphasis or additional styling to words or phrases, or to display symbols. You must translate only the words that are being styled by the HTML, and not the codes or tags themselves. Take a look at the examples to make sure that you understand what to translate and what you should leave unchanged.

In the following example, the <strong> tags are used to display text in bold:

In this case, you'd translate only the words On Sale .

On Sale

In the following example, HTML codes larr; and rarr; are used to generate left and right arrow symbols:

Here, you'd translate only the phrases Previous Product and Next Product .

Previous Product Next Product

In the following example, HTML <strong> tags are used to display the filename collection -sidebar.liquid in bold.

collection -sidebar.liquid

The filename here is a Liquid template file . You should translate the filename only if it's necessary to match the name of the file itself. For example, if you have created your own files, then you might need to change the filename in the HTML.

Never translate HTML tags or symbol codes. These are used by your browser, and are not seen by your customers.

Never translate Elsa Peretti Teardrop pendant in sterling silver Tiffany amp; Co j5pIb5zjEZ
tags, objects, or filters.

Liquid is the templating language that controls the appearance of your website in different contexts. Liquid content is always wrapped in one of the following sets of symbols:

For example:

In this example, you would translate only the text around the Liquid, and not {{ date }} .

Here's an example of a text field that uses a combination of plain text, HTML, and Liquid:

Although this example might look complex, the only part that you'd need to translate is the word on .

You can view and change any translation once it's available in your theme. For example, if a translation that you created is incomplete , then you can continue to make changes.

To view or update a translation:

Add to the translations in the current language or click Change theme language to choose another language in the DENIM Denim shorts Cooperativa Pescatori Posillipo ETQDHTE

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| Files base Data Sources

File based data sources for data models are usually "local" files that a user wishes to either model directly or included to embellish configured data sources. File based data sources require no pre-configuration and offer few limitations to the business user.

File source include Excel, Access and Text files. It also includes Excel files that contain Cashmere Silk Scarf Green Trees m by VIDA VIDA 7uKEGUb
models that will be used to generate a model directly.

Using a File Data Source

To add a file, select the file type and then click the add button in the right hand panel (blue highlight below)

You will be prompted with a small pop-up dialog to either import the file into BI Office (purple arrow below) or to reference a file on a shared network drive (red arrow).

NOTE:If you upload, the file will be uploaded in chunks and can take some time as it is pulled over the Internet. There is also an upload file size limit set by your administrator.

You can add as many file sources in a single model as needed. If the file is text based, you may need to provide further input into how the text file should be parsed when processed in the model. See below for more on logo patch backpack Red GCDS AUhdv8

Shared files offer an interesting option for importing file based data sources. Instead of uploading the file statically to BI Office, the user instead provides a pointer to its location on the network. When the model is processed the file is read in and included in the model. This offers the option for file based models to auto update themselves with new data when the model is set to auto-refresh in BI Office, by simply replacing the source in its networked location with an updated file.

IMPORTANT:The shared file must use an "UNC" file path format to the shared directory and file on the network. The directory must also be visible both by the machines hosting BI Office and the SSAS tabular instance. Click 'Check Path' to ensure the format is correct.

Once the file is uploaded, the "Text Loader"wizard will appear.

The wizard will automatically select the Delimiter (outlined in orange). If the selection is wrong, you can manually select a different one. (A delimiter is the character within the text that separates the data.)

Select the checkbox (indicated with the blue arrow) to make the first row from the text as its header.

The wizard will automatically make selections for the encoding and culture settings, but you can adjust them through Advanced Settings (red arrow). Click the Advanced Settings button to get the pop-up window (see below) where you can manually change the settings.

Functional MRI Paradigm.

All sketches were presented for 12 s together with a two-sentence description of the situation similar to Study 1. The text was presented in a black 24-point non-serif font (Arial) on a white background in two to three rows below the drawings. The stimulus presentation was followed by a blank screen for 1 s and a subsequent rating period lasting 3 s. During the rating period subjects were asked to indicate their level of vicarious embarrassment experienced during the previous picture story. Responses were indicated on a scale ranging from 1 () to 5 () using a button press of the right hand. A jittered low-level baseline showing a fixation cross for an average of 8 s was interleaved between the rating phase and the following trial. Sketches were presented in a pseudo-randomized order, ensuring that no type of situation was immediately repeated and all types of situation appeared in equal numbers. The total experiment time was 22.28 min. Stimuli were presented on an LCD screen with Presentation 11.0 software package (Neurobehavioral Systems, Albany, CA, USA, Under The Bump Crepe Culottes in Stripe Black/white Asos Maternity 27rx6Umv
). Prior to the experiment participants received careful instructions about the experimental procedure outside the scanner using two example situations that were not displayed during the fMRI session.

Functional MRI Data Analysis.

FMRI data were analyzed using SPM8 ( ). The first four volumes (dummy images) of the session were discarded from further analyses. The remaining 549 EPI volumes were motion-corrected and spatially normalized to the standard template of the Montreal Neurological Institute (MNI). The normalized volumes were resliced with a voxel size of 2×2×2 mm, smoothed with an 8 mm full-width half-maximum isotropic Gaussian kernel and high-pass filtered at 1/256 Hz to remove low frequency drifts.

Statistical analysis was performed in a two-level, mixed-effects procedure. The fixed-effects GLM on the first level included six epoch regressors modeling hemodynamic responses to the vicariously embarrassing situations (4), neutral situations (1), and rating phase (1) with the abovementioned stimulus durations. The vicarious embarrassment ratings after each situation were entered as parametric modulators to explain additional variance in neural activation due to differences in emotional responses on the within-subject level. Six additional regressors modeling head movement parameters were introduced to account for noise. Individually weighted -maps of activation differences between the vicarious embarrassment and the neutral situations were analyzed on the second level.

The second-level analysis of activation differences was conducted with a full factorial random-effects GLM. The GLM contained one factor with the four dependent levels of vicarious embarrassment situations. The analysis of activation differences between vicariously embarrassing and neutral situations was controlled for individual differences in vicarious embarrassment experiences during the fMRI session by introducing subjects' averaged ratings within each type of situation as a covariate in the GLM. For the following analysis, brain regions with strongest associations with the different types of vicariously embarrassing situations were identified through a conjunction analysis of the contrasts of vicarious embarrassment compared to neutral situations (AA > Neutr ∩ AU > Neutr ∩ IA > Neutr ∩ IU > Neutr). The result of the conjunction-analysis was thresholded at <.05 applying family-wise error (FWE) correction for whole brain analysis. All results are reported in MNI space.

To minimize circularity of the analyses estimates of brain activation were extracted independent of individual differences in trait empathy. First, functional regions-of-interest (ROIs) were constructed for the ACC and anterior insula. To achieve best estimates of the areas activated in vicariously embarrassment situations, the results of the conjunction analysis were thresholded at p <.001, uncorrected (see Loop Silver Earrings one size Saskia Diez Cz2Alwkp
, blue and pink areas). To verify that the functional ROIs still correspond to the anatomical structures, these results were constrained by anatomical masks covering the insula and the middle/anterior cingulate cortex. The anatomical masks were created according to the anatomical labeling atlas implemented in the WFU-PickAtlas (Version 2.4) applying a dilation factor of one. Second, the averages of parameter estimates in the functionally and anatomically constrained clusters were computed for each individual. The resulting parameters for blood oxygenation level dependent (BOLD) responses in the ACC and the left insula were then entered into a repeated-measures GLM. The repeated factor CATEGORY covered the four levels of vicariously embarrassing situations, and individual differences in empathy were entered as a continuous factor. To further elucidate the effects of individual differences in trait empathy on ratings of vicarious embarrassment correlations were computed separately for each category and the emotional and cognitive subfacets of the E-scale.

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