Social Sciences
<p>Avatars are the alter-egos of users in Social Virtual Reality (SVR). They enable embodied interaction, preserving a wide spectrum of non-verbal and verbal communication cues in real-time, independent of users’ physical location. Avatar's appearance is highly variable as it spans from non to little human-like cartoonish forms to photorealistic replicas of real persons, leading to a wide range of potential effects other’s digital appearance has on the interpersonal relations established during an interaction.
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This dataset was derived from a questionnaire survey, including online surveys and field surveys, to test the reliability and validity of the media convergence perception scale. The questionnaire consisted of two parts. The first part was related to the 38 items generated in the prior step. The socio-demographic characteristic information of interviewees was captured in the second part. In addition, there was an additional question about whether respondents have used CLCM before, which is essential for the following data analysis.
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Social Media Big Dataset for Research, Analytics, Prediction, and Understanding the Global Climate Change Trends is focused on understanding the climate science, trends, and public awareness of climate change. The use of dataset for analytics of climate change trends greatly helps in researching and comprehending global climate change trends.
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Enterprise green innovation has emerged as an urgent concern for manufacturing companies in the current context of global green and sustainable development. China's "peak carbon emissions" and "carbon neutrality" goals require companies to take proactive measures to reduce carbon emissions and improve energy efficiency, with the application of digital technology playing a crucial role in this process.
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RITA (Resource for Italian Tests Assessment), is a new NLP dataset of academic exam texts written in Italian by second-language learners for obtaining the CEFR certification of proficiency level.
RITA dataset is available for automatic processing in CSV and XML format, under an agreement of citation.
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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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This dataset was created and utilized for preparing an article submitted to the IEEE Transactions on Evolutionary Computtations. Based on critical review and experiment, the article intends to shed some light on the way crossover-mutation intraction balannce in GA could be comprehended in the view tthat current literature is short of providing generalized rule that guides determination of tha balance of the two operators across domains of problems.
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Individuals tend to overstate privacy concerns concerning their online behaviors; however, users share more personal data than they realize when accepting terms and conditions. This research explores how contextual integrity -understood as privacy attitudes- often defined as social norms over privacy in a particular context (Nissenbaum 2004)- can be further explored through vignettes in social research.
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As the world has entered the ‘era of limits’, it is quintessential to prioritize and emphasize the importance of limits to growth. Principles of system thinking along with the system dynamics methodology help delve into the roots of complex system behavior to better predict them. A system is an interconnection of independent but inter-related parts where a positive change in one part of the system may prove to be calamitous for some other part and thereby for the system as a whole.
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The datasets are all EXCEL files, and the datasets include daily stock price changes of three listed companies from 2021.1.4 to 2021.12.31 and Shanghai banking borrowing rates from 2021.2.2 to 2021.12.28. The three listed companies are Xiaomi Group, Zijin Mining and Fuwei Film and TV, which are representative in their respective fields. Since most of the numerical simulation parameters are directly given artificially in the existing studies, which is not convincing.
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