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The article presents the results of a comprehensive theoretical and experimental study of ferromagnetic resonance and microwave magnetoelectric effect in multilayer ferrite-piezoelectric structures containing single-crystal iron-yttrium garnet of cut (111) in combination with piezoelectric materials. Mathematical modeling of physical processes occurring in ferrite was performed, which made it possible to reveal weak magnetic cubic anisotropy, which must be taken into account when developing electrically tunable microwave devices.

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It is shown that in semiconductor structures with a low quantum dimension, it is possible to obtain the required potential relief for quasiparticles by changing the sizes of the structure elements. By using the example of a resonant-tunneling diode formed from planar nanowires of various cross-sections and lengths, it is demonstrated how such changes affect the potential for electrons and the electrical characteristics of the device. The considered approach is based on the effect of dimensional quantization of the energy of quasiparticles in solids.

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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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35 Views

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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