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Userbot Ini Memiliki Banyak Fitur Keren, Bekerja Dengan Python Dan Telethon Dan Pytgcalls
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A Telegram bot to download TikTok videos without any watermark.
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This task shows you the drag and drop capabilities of PsychoPy and PsychoJS. The demonstration uses a drag and drop puzzle game. The task requires you to drag and drop the black and white pieces into the empty square.
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In this task participants are required to press either left or right arrow key depending on which way the fish in centre is facing. Participants are required to ignore the direction of the surrounding fish. This is a children version of Flanker Task based on M. Rosario Rueda et al. (2004).
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In this task participants are required to press either left or right arrow key depending on which way the fish in centre is facing. Participants are required to ignore the direction of the surrounding fish. This is a children version of Flanker Task based on M. Rosario Rueda et al. (2004).
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A basic n-back task in which sequential items are presented. Participants must click/tap the screen if this item is the same as n-back.
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Balloon Analogue Risk Task (BART)
The experiment: ——
This is a simplified (and prettified) version of the BART task by Lejuez et al (2002). Participants have to blow up a balloon that they know will burst at some point. They ‘earn’ rewards for getting the balloons to be larger, but increase the risk of bursting it, in which case they earn no reward for that balloon. The question is, how many times does someone pump each balloon trying to optimise their rewards.
The measure is designed to quantify individual differences in risk-taking.
Analysing your data: ——
You should filter out data where the balloon burst and measure the number of pumps made for the remaining trials.
Notes: ——
WARNING: This is an advanced demo involving lots of code components
This can be extended to be more similar to the original paper by adding further colours of balloons with different bursting profiles.
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Use the mouse to control what part of an image you can see. This demo shows you how easy it is to build rich dynamic studies using only the Builder view.
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