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A:

The problem is that your file has the UTF-8 BOM signature at the start, which tells the reader that the file contains an UTF-8-encoded text file.
Since the autotools use the C locale by default, you don’t get an UTF-8 text file, you get a C text file, which is why you can’t decode it with unifont.
You have two options:

Make the file start with an ANSI BOM
Change your autotools build settings to use an UTF-8 locale

I don’t know what your autotools environment is, so you have to figure out what to do in it, depending on what you have.

/**
* Module dependencies.
*/

var assert = require(‘assert’);

describe(‘.
Module’, function () {

describe(‘without arguments’, function () {

it(‘extends to a common level’, function () {
assert.equal(require(‘../../lib/ref’).Module(‘anything’), require(‘../../lib/ref’)(‘Module’));
});

it(‘is no longer exists’, function () {
var expected = require(‘../../lib/ref’).Module();
assert.notStrictEqual(expected, require(‘../../lib/ref’)(‘Module’));
});

});

});
has previously been used in a similar capacity in the UK. It is likely that it will be adopted to a greater extent in the future.

Strengths and limitations
————————-

The main strengths of the CCCPP study are the large number of participants and the broad representativeness of the study sample. All North European countries were included except for France and the Netherlands. The population and public health researchers at the Tromsø and University of South-Eastern Norway Centre for Public Health invited all researchers at universities, research centres and health authorities in the countries that participated in this project to attend the national meeting in Norway and participate in this project, which resulted in over 1600 participants. A further strength is the unbiased collection of data by the study administrators.

The data were collected anonymously and downloaded directly from the web-based platform. Only one module was used (global assessment of occupational sitting) with the same questions
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