| 0:00:01 | consider about what is that attention model were reported |
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| 0:00:07 | restored result pointed out |
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| 0:00:10 | that i think it was this issue can be a moment to see |
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| 0:00:16 | these because these are used a spontaneity of participants |
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| 0:00:20 | global tendency disposition attention |
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| 0:00:24 | more about the results are included |
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| 0:00:28 | you'll a |
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| 0:00:30 | electrical a probabilistic relational hundred the kind of car solution |
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| 0:00:35 | trusses session routes |
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| 0:00:38 | so we have traditionally is at the two so that attention |
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| 0:00:43 | albeit perception that's consequently found out |
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| 0:00:46 | that is possible that |
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| 0:00:49 | we should also mention that |
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| 0:00:52 | but also the first session values |
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| 0:00:57 | some |
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| 0:01:00 | can be distinguished |
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| 0:01:03 | right as in t if you based on t |
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| 0:01:06 | for this fifteen |
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| 0:01:09 | we define as well but has shown that |
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| 0:01:11 | so these are shown also calls at points that's |
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| 0:01:16 | and it is what evidence one |
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| 0:01:18 | and also in this section |
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| 0:01:21 | and an interface |
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| 0:01:25 | forty four |
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| 0:01:27 | the goes in the session |
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| 0:01:30 | was fifty percent area it is computed you please |
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| 0:01:34 | or be formally based |
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| 0:01:36 | so e d explicitly results are shown that one and two english i think c |
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| 0:01:46 | the sparse problems are due to establish if it will |
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| 0:01:51 | so it would be an application of i shall we can show that implement three |
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