The mediating effect of internet addiction and the moderating effect of physical activity on the relationship between alexithymia and depression

The mediating effect of internet addiction and the moderating effect of physical activity on the relationship between alexithymia and depression

Cerutti, R., Zuffianò, A. & Spensieri, V. The role of difficulty in identifying and describing feelings in non-suicidal self-injury behavior (NSSI): Associations with perceived attachment quality, stressful life events, and suicidal ideation. Front. Psychol. 9, 318 (2018). PubMed  PubMed Central  Google Scholar  Bagby, R. M., Parker, J. D. & Taylor, G. J. The twenty-item toronto …

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Edge computing based real-time Nephrops (Nephrops norvegicus) catch estimation in demersal trawls using object detection models

Edge computing based real-time Nephrops (Nephrops norvegicus) catch estimation in demersal trawls using object detection models

The dataset The datasets used in model training and evaluation of the methodology are generated from the videos recorded on June 27, 2020, on commercial Nephrops grounds in Skagerrak using an underwater stereo camera system13,20. The YOLO models require images with bounding box annotations for training. Therefore, a dataset of 4044 images was generated from …

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Terahertz binary computing in a coupled toroidal metasurface

Terahertz binary computing in a coupled toroidal metasurface

The study of Boolean operations is done via the change in the distance between the central resonator and the two other split resonators on the side of the central resonator. The initial configuration that was analyzed had a symmetrical structure with both the C resonators at a distance \(d_1=d_2=10\,\upmu\)m from the central SRR. The transmission …

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Tunable stochastic memristors for energy-efficient encryption and computing

Tunable stochastic memristors for energy-efficient encryption and computing

Influence of CuxTe1-x compositions on the resistive switching behavior The CuxTe1-xHO memristors have different switching behaviors depending on the Cu concentration (x) in the CuxTe1-x electrode. It exhibits volatile threshold switching (TS) behavior at x = 0.1 (Cu0.1Te0.9/HfO2, Fig. 1a, Supplementary Note 1 and Supplementary Fig. 1)10,11,12,13,14, and nonvolatile resistive switching (RS) behavior at x = 0.3 and 0.6. Figure 1b displays the …

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A novel single-channel edge computing LoRa gateway for real-time confirmed messaging

A novel single-channel edge computing LoRa gateway for real-time confirmed messaging

System architecture Figure 1 illustrates the system architecture, which comprises various components: a mobile application, management platform, server (either cloud-based server or local server), LoRa gateway, and end nodes. Both the mobile application and management platform enable users to operate the end nodes, monitor their status, and receive uplink messages. The server is a pivotal component …

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Integrated mechanical computing for autonomous soft machines

Integrated mechanical computing for autonomous soft machines

Material characterization Dogbone-shaped samples were 3D printed with the soft material that comprises bistable elements (Elastic 50 A, Formlabs), and uniaxial tensile tests were then performed according to ASTM D412-C specifications to measure the linear elastic and viscoelastic property, yield stress, and long-term toughness. We used a universal testing machine (Model 5942, Instron®, Illinois Tool Works …

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Greening China’s digital economy: exploring the contribution of the East–West Computing Resources Transmission Project to CO2 reduction

Greening China’s digital economy: exploring the contribution of the East–West Computing Resources Transmission Project to CO2 reduction

We employed both a scenarios approach and fsQCA to estimate the impact of digital infrastructure on carbon emissions in China. While the scenarios approach involves a comprehensive exploration of key factors (e.g., PUE, green electricity, etc.) that influence carbon emissions across the entire EWCRT Project, the fsQCA focuses on the configurational relationships of these key …

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Neuro-computing solution for Lorenz differential equations through artificial neural networks integrated with PSO-NNA hybrid meta-heuristic algorithms: a comparative study

Neuro-computing solution for Lorenz differential equations through artificial neural networks integrated with PSO-NNA hybrid meta-heuristic algorithms: a comparative study

Kudryashov, N. A. Analytical solutions of the Lorenz system. Regul. Chaotic Dyn. 20(2), 123–133. https://doi.org/10.1134/S1560354715020021 (2015). Article  ADS  MathSciNet  Google Scholar  Bougoffa, L., Al-Awfi, S. & Bougouffa, S. A complete and partial integrability technique of the Lorenz system. Res. Phys. 9, 712–716. https://doi.org/10.1016/j.rinp.2018.03.031 (2018). Article  Google Scholar  Algaba, A., Fernández-Sánchez, F., Merino, M. & Rodríguez-Luis, …

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Dimensionality reduction for images of IoT using machine learning

Dimensionality reduction for images of IoT using machine learning

This section describes the experiments and the results. Experiment preparation In our approach, a dataset comprising 6000 images has been used to train the autoencoder. The trained model will be used in the experiments to perform dimensionality reduction with the image data at the edge. The training performed on a machine has the following benefits: …

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