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An AI-based Ancient Hebrew Language Translator aims to revive Ancient Hebrew by constructing a comprehensive dataset with contemporary and ancient Hebrew samples. Seamless integration of the Google Vision API facilitates Optical Character Recognition (OCR) for image processing. The translation process initiates in English through the model, leading to a multilingual interface. This initiative represents a crucial step in preserving ancient languages in the digital age.
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TThe dataset contains Tweet IDs related to Twitter communication in the field of corporate social responsibility, which were downloaded for the period from January 1, 2017 to April 31, 2022. These are 520,638 from 168,134 different users. This dataset contained all tweets containing the hashtag #csr for the period under study.
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TThe dataset contains Tweet IDs related to Twitter communication in the field of corporate social responsibility, which were downloaded for the period from January 1, 2017 to April 31, 2022. These are 520,638 from 168,134 different users. This dataset contained all tweets containing the hashtag #csr for the period under study.
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143 Views
TThe dataset contains Tweet IDs related to Twitter communication in the field of corporate social responsibility, which were downloaded for the period from January 1, 2017 to April 31, 2022. These are 520,638 from 168,134 different users. This dataset contained all tweets containing the hashtag #csr for the period under study.
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Views
TThe dataset contains Tweet IDs related to Twitter communication in the field of corporate social responsibility, which were downloaded for the period from January 1, 2017 to April 31, 2022. These are 520,638 from 168,134 different users. This dataset contained all tweets containing the hashtag #csr for the period under study.
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Views
TThe dataset contains Tweet IDs related to Twitter communication in the field of corporate social responsibility, which were downloaded for the period from January 1, 2017 to April 31, 2022. These are 520,638 from 168,134 different users. This dataset contained all tweets containing the hashtag #csr for the period under study.
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13 Views
TThe dataset contains Tweet IDs related to Twitter communication in the field of corporate social responsibility, which were downloaded for the period from January 1, 2017 to April 31, 2022. These are 520,638 from 168,134 different users. This dataset contained all tweets containing the hashtag #csr for the period under study.
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75 Views
To test the effectiveness of different ambiguity models in representing real decision-making under ambiguity, we ran an incentivized experiment of choice under ambiguity. The study involved 310 participants recruited using the online international labor market, Amazon Mechanical Turk (MTurk), to participate in an experimental study implemented on the survey platform, Qualtrics. Each of the 310 subjects made 150 preference choices between two options involving variations of the four ambiguity problems with varying levels of ambiguity and risk.
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160 Views
The data presented here was acquired using a testbed for biocompatible molecular communication based on magnetic nanoparticles. The folders correspond to the variety of channel parameters that were investigated and two additional data transmission samples. Details regarding the testbed setup can be found in the accompanying publication.
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This data was collected during a validation study of our Torso-Dynamics Estimation System (TES). The TES consisted of a Force Sensing Seat (FSS) and an inertial measurement unit (IMU) that measured the kinetics and kinematics of the subject's torso motions. The FSS estimated the 3D forces, 3D moments, and 2D COPs while the IMU estimated the 3D torso angles. To validate the TES, the FSS and IMU estimates were compared to gold standard research equipment (AMTI force plate and Qualisys motion capture system, respectively).
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106 Views