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The precise prediction of hysteresis characteristics in nanocrystalline and amorphous strips is crucial for analyzing the electromagnetic properties of high-frequency transformers. However, existing hysteresis prediction methods suffer from high cost, time consumption, and inaccuracy, especially for those under high frequency and non-sinusoidal excitation.

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MATLAB design codes and COMSOL Multiphysics simulation files to accompany Near-Perfect Space-Wave to Surface-Wave Coupler Enabled Conformal Space Wave Transporting Metasurfaces submitted to the IEEE Transactions on Antennas and Propagation. The abstract from that paper follows: A technique for the design of conformal metasurfaces with two spatially disconnected space wave ports connected by a surface wave is presented.

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This work employs a new approach to analyze coupled-resonator circuits to design and manufacture a fully metallic dual polarization frequency selective surface (FSS). The proposed filtering structure is composed of a series of unit cells with resonators fundamentally coupled along the z-direction and then repeated periodically in the xy-plane. The fully metallic cascaded unit cell is rigorously analyzed within an infinite periodic environment as a coupled-resonator electromagnetic (EM) circuit.

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135 Views

Mobility VR Gaming: A Dataset of User Movements

This dataset unveils the dynamic movements of VR gamers, capturing the lateral and angular shifts of the VR headset-mounted device (HMD) during immersive gaming sessions. Collected from 40 participants, the data provides a comprehensive understanding of user mobility patterns in VR environments. This valuable resource empowers researchers to refine VR gaming experiences, enhancing immersion and comfort for users.

If you use this dataset in a scientific publication, we would appreciate references to the following paper:

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These are the experiment results of the Software-Defined Disjointed Multipath Network (SDDMN).

They were recorded using Microsoft Excel and saved in the '.xlsx' file format.

The figures referenced in the related paper are also included in these files.

There are four files corresponding to the four experiments:

1. fig_5-3_upload.xlsx corresponds to Experiment 1: The Increased Demand Size.

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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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131 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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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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12 Views

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