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These datasets of synthetic workflows (task graphs) were generated to evaluate the performance and scalability of a multi-objective and multi-constrained scheduling approach for workflow applications of various structures, sizes, and sensing/actuating requirements in a cyber-physical system (CPS) based on the edge-hub-cloud paradigm.
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This dataset captures various aspects of parenting styles, child behavior, and family demographics to explore the relationship between caregivers’ approaches and children’s emotional and social development. It includes 22 variables covering parental age, education, number of children, emotional and disciplinary parenting behaviors, and the child's emotional responses and prosocial behaviors.
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This dataset collects production data of G12 and M10 monocrystalline silicon photovoltaic cells at various stages including metal silicon smelting, polycrystalline silicon purification, monocrystalline silicon growth, silicon wafer cutting, and monocrystalline silicon solar cell manufacturing, covering different implementation processes. It aims to conduct in-depth analysis of the production process and provide a basis for optimizing the process and improving the performance of the cells.
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Real-time microwave frequency variation (MFV) measurement is crucial for a wide range of applications. However, current solutions often fall short in terms of resolution, speed and range. We present a novel technique that leverages the sine-cosine encoder principle, enabled by a photonic delay line (PhDL), to detect rapid MFV in real-time with ultra-high resolution.
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Real-time microwave frequency variation (MFV) measurement is crucial for a wide range of applications. However, current solutions often fall short in terms of resolution, speed and range. We present a novel technique that leverages the sine-cosine encoder principle, enabled by a photonic delay line (PhDL), to detect rapid MFV in real-time with ultra-high resolution.
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Real-time microwave frequency variation (MFV) measurement is crucial for a wide range of applications. However, current solutions often fall short in terms of resolution, speed and range. We present a novel technique that leverages the sine-cosine encoder principle, enabled by a photonic delay line (PhDL), to detect rapid MFV in real-time with ultra-high resolution.
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Real-time microwave frequency variation (MFV) measurement is crucial for a wide range of applications. However, current solutions often fall short in terms of resolution, speed and range. We present a novel technique that leverages the sine-cosine encoder principle, enabled by a photonic delay line (PhDL), to detect rapid MFV in real-time with ultra-high resolution.
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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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If you are unable to access your OST file databases and want to convert them into Outlook PST file format, download MailsDaddy OST to PST Converter Tool. It is helpful to easily retrieve OST files and then convert them into Microsoft PST file format. Here users can also export OST files into EML, MBOX, MSG, RTF, Live Exchange Server, Office 365, and others. The application is helpful to save OST file contacts into CSV, and calendar details in ICS format. The program enables users to convert heavy offline OST files into small Outlook PST files.
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