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This paper explores public perceptions surrounding the use of Artificial Intelligence (AI) in cultural and media production across the Arab region. Based on a comprehensive questionnaire distributed among 2000 participants, the study investigates attitudes toward AI-driven content, ethical concerns, cultural identity threats, educational impacts, and legal responsibilities.
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<p><span style="font-size: medium;">As artificial intelligence (AI) technologies rapidly integrate into cultural and media content production, questions arise about how the Arab public perceives, trusts, and engages with AI-generated content. This study investigates the perceptions of 500 participants from across the Arab world through a structured survey focusing on awareness, trust, cultural values, and the influence of algorithms on media behavior.
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The experimental protocol provided to record for two minutes two IMUs channels assembled on a variable stiffness prosthetic foot (one on the main body of the prosthesis and the other on the ankle), 3-axis linear accelerations (ax , ay and az) and 3-axis Euler angles (θx , θy and θz), at 100 Hz for seven activities (walking, fast walking, stand, stairs and ramps ascending and descending) under different Dx slider configurations (Dx = 42, 45, 48, 51, and 54 mm), i.e. stiffness settings.
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This is the patent data we collected from USTPO. Its part of the paper that we used for our study. It contains patent data regarding financial, assistive, and artificial intelligence technology convergence. These patents are all registered in USPTO (united states patent and trademark office) from 2001 to 2020. These data were used for network analysis. Further details will be uploaded after paper acception.
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Agriculture is the backbone of Mizoram’s state economy as the majority of the people use agriculture and its allied sector as their livelihood. According to the 2011 census, more than 50% of the people are still engaged in agriculture and its related activities. Jhum cultivation or shifting cultivation is the primary farming pattern in the state.
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Known as the “Water Tower of Asia,” the Tibetan Plateau plays an important role not only in regional hydrology, but also in the larger, more global water cycle, as well as climate regulation. While this region plays such an important role, things get difficult when it comes to extracting water data using remote sensing techniques—primarily because of snow interference, which leads to all kinds of misjudgments and detection errors.
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In order to enable an efficient and reliable integration of photovoltaic power plants into power
grids in sub-Saharan Africa in general and Chad in particular, which is committed to massively exploiting
solar energy to address its energy deficit, this work aims to forecast hourly temperature and global horizontal
irradiation (GHI). In this study, we employ ensemble methods represented by random forest (RF) and extreme
boosting gradient (XGB) model. Their performances are then compared with the support vector regression
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The dataset comprises the spectral density peak power levels from a spectrum survey in a rural area of Belgium. For the spectrum measurements we consider 21 locations of a rural scenario in Nevele, Belgium. This is a mostly flat area with detached isolated houses and farms. We defined a grid of different locations for measuring the peak signal levels [dBm] across the spectrum between 170 MHz and 1000 MHz, during a period of 0.5 h. The measurements across the different locations are not synchronized and, therefore not correlated in the time domain.
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This dataset supports the structural equation modeling (SEM) analysis of the impact of emerging IT integration on supply chain resilience. The data were collected using a snowball sampling method, initially distributed to EMBA students at Northwestern Polytechnical University and Xidian University, who were encouraged to share the survey link within their professional networks.
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