The article studies the change in the statistical properties of measurements of the Z-component of the Earth’s magnetic field, carried out on mutually distant magnetometers during 15 days before the earthquake of February 6, 2023 in eastern Turkey. The differences in the corresponding statistics associated with both the difference in directions to the epicenter and the significant difference in distances to azimuthally close magnetometers are analyzed.
This study is based on the analysis of the current state and main trends in the design, synthesis and application of various transparent electrodes, including transparent conductive semiconductor oxides, metal ultrathin films, partially filled structures and multilayer oxide/metal/oxide structures.
This wind speed dataset is voluntarily made public by me, with the aim of supporting academic research, data analysis, and further exploration in related fields. The dataset strictly adheres to relevant safety protocols, ensuring that all data usage and dissemination comply with safety requirements and respect applicable laws and regulations. By making this dataset public, I hope to provide a reliable resource for the academic community, researchers, and other institutions in need, to foster more research and technological development based on wind speed.
This dataset integrates textual, financial, and macroeconomic indicators to support research on bank failure prediction and financial distress forecasting in Vietnam. It includes financial news from the BKAI News Corpus Dataset (2009–2023) and financial crisis data from "A Dataset for the Vietnamese Banking System (2002–2021)" (Tu Le et al., 2022), covering crisis-related events such as restructuring, special control, mergers, and acquisitions.
The current state and prospects of development of the component base for ultra-high-speed electronics with low power consumption are considered. Approaches to the design of solid-state electronic devices based on nanowires that can be used in future digital electronics and their constructions are proposed. Estimates of the expected characteristics of these devices are presented.
The Semantic Highlight Mask Dataset holds significant importance in the field of computer vision, particularly for tasks such as object detection, image segmentation, and scene understanding. This paper proposes a novel Semantic Highlight Mask Dataset designed to support high-precision semantic segmentation and emphasize key regions in images. The dataset encompasses a diverse range of image categories, with finely annotated highlight masks assigning semantic labels and saliency weights to each pixel.
The Semantic Highlight Mask Dataset holds significant importance in the field of computer vision, particularly for tasks such as object detection, image segmentation, and scene understanding. This paper proposes a novel Semantic Highlight Mask Dataset designed to support high-precision semantic segmentation and emphasize key regions in images. The dataset encompasses a diverse range of image categories, with finely annotated highlight masks assigning semantic labels and saliency weights to each pixel.
ElecsDataset is a specialized 3D semantic segmentation dataset designed for substation environments. It addresses the shortage of domain-specific annotated data in the field of substation 3D semantic segmentation. This dataset offers high-resolution, meticulously annotated point clouds that capture complex equipment structures and real-world occlusions. It consists of data collected from three substations of varying scales. The dataset is systematically partitioned into 6 distinct spatial regions with heterogeneous dimensions.
ElecsDataset is a specialized 3D semantic segmentation dataset designed for substation environments. It addresses the shortage of domain-specific annotated data in the field of substation 3D semantic segmentation. This dataset offers high-resolution, meticulously annotated point clouds that capture complex equipment structures and real-world occlusions. It consists of data collected from three substations of varying scales. The dataset is systematically partitioned into 6 distinct spatial regions with heterogeneous dimensions.
The dataset of the DGCMF-MSN, where includes 1,020 drug entities, 5,598 standardized side effects, and 133,750 validated positive association samples. Additionally, the feature-engineered data derived from the three-modal data of these 1,020 drugs are also included. Drug-se_matrix.txt is a matrix of drug-side effect associations. Drugs.smiles contains feature engineering results derived from SMILES representations. Drugs.fpt contains molecular fingerprint feature engineering results.
The growing intricacy of investment decisions in unpredictable economic conditions underscores the importance of comprehending the fundamental psychological factors that shape investor behavior and preferences. For this purpose, this research illustrates the impact of personal saving orientation in elucidating the impact of flow experience and social support, desire for learning on investment decisions. The research assesses a proposed model grounded in the Theory of Planned Behavior (TPB) by collecting questionnaire data from 516 investors using the PLS-SEM technique...
The growing intricacy of investment decisions in unpredictable economic conditions underscores the importance of comprehending the fundamental psychological factors that shape investor behavior and preferences. For this purpose, this research illustrates the impact of personal saving orientation in elucidating the impact of flow experience and social support, desire for learning on investment decisions. The research assesses a proposed model grounded in the Theory of Planned Behavior (TPB) by collecting questionnaire data from 516 investors using the PLS-SEM technique...
This dataset supports the research paper "Synchronized Waveform Monitoring Unit Application: Lissajous DQ Curve to Improve Situational Awareness in Power Distribution Networks". It contains electromagnetic transient (EMT) simulation results from the IEEE 33-bus distribution system, including:
The digital health service market has gained higher demand, but there lacks intensive research to propose a usability design framework for the health service mobile application that caters to older adults in Malaysia. This research proposes an enhanced usability framework to support the design and development of the Malaysia health service mobile applications to serve older users.
This dataset comprises a comprehensive collection of educational courses, each characterized by several key attributes: interests, title, description, category, level, past experience, and rating.
RAN Slicing (RS) is a 6G Radio Access Network technology for resource allocation that meets the diverse needs of users. The current surge in traffic across vertical services requires a paradigm capable of handling unpredictability in a stochastic environment. This paper follows a sequential approach to address the differing needs in RS. We propose an extended application powered by a Double Deep Q Network (DDQN) to instantiate an Apprentice Agent (AA) that serves users based on on-demand requests.
This dataset contains high-resolution solar and wind measurement data collected from the Feni region, Bangladesh, spanning from 2017 to 2019. Logged at a 1-minute interval, the dataset provides a comprehensive record of atmospheric and meteorological conditions, essential for renewable energy analysis, climatological studies, and resource assessment.
This dataset contains high-resolution wind measurement data collected from 22 channels at varying heights, providing valuable insights for wind energy assessment, atmospheric research, and meteorological studies. The dataset includes wind speed, wind direction, and environmental parameters measured at multiple altitudes ranging from 10m to 120m. Each channel records parameters such as average wind speed, standard deviation, minimum and maximum values, gust speed, and wind vane direction. Additionally, atmospheric parameters such as temperature, relative humidity, and pressure are included.
The Naval Air Training and Operating Procedures Standardization (NATOPS) manual standardizes general flight and operating procedures for the US naval aircraft. There are a large number of publications that belong to NATOPS; among the many, an aircraft signals manual (NAVAIR 00-80T-113) contains information about all aircraft systems including general aircraft and carrier flight deck handling signals.
This ZIP file contains two distinct datasets collected over a 13, 14 and 15-day periods.
<p>This meteorological data is provided by the Inner Mongolia Meteorological Bureau and includes data from three stations.
<p>This meteorological data is provided by the Inner Mongolia Meteorological Bureau and includes data from three stations.
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.
This is a map-matching dataset, likely used for geospatial analysis and route mapping applications. The dataset is organized into multiple numbered segments, each potentially containing different routes, map regions, or tracking data.
Based on the name "map-matching-dataset" and the file structure, this dataset is probably used for developing or testing algorithms that match trajectory traces to road networks. Such datasets typically contain trajectory points, road network data, and ground truth matches for evaluation purposes.
