cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.14070
title: Myocardial IVIM measurement data
title: Myocardial IVIM measurement data

description: The double-exponential model-fitting diagram obtained from the software (Syngo.via Client 4.1, Siemens Healthcare) was used to measure the IVIM values. 16 segments were measured according to the American Heart Association guidelines. Regions of interest as large as possible of each myocardial segment were measured sequentially by drawing oval areas in the mid-wall area and avoiding the small local artifacts area. The software automatically acquired the IVIM values of the 16 segments for LV, including the slow apparent diffusion coefficient (ADCslow), fast apparent diffusion coefficient (ADCfast), and perfusion fraction (f)
description: The double-exponential model-fitting diagram obtained from the software (Syngo.via Client 4.1, Siemens Healthcare) was used to measure the IVIM values. 16 segments were measured according to the American Heart Association guidelines. Regions of interest as large as possible of each myocardial segment were measured sequentially by drawing oval areas in the mid-wall area and avoiding the small local artifacts area. The software automatically acquired the IVIM values of the 16 segments for LV, including the slow apparent diffusion coefficient (ADCslow), fast apparent diffusion coefficient (ADCfast), and perfusion fraction (f)
DOI: 10.57760/sciencedb.14086
title: Prompt Fission Neutron Uranium Logging(III): logging instrument
title: Prompt Fission Neutron Uranium Logging(III): logging instrument

description: Prompt Fission Neutron Uranium Logging(III): logging instrument Relevant logging experimental data and Monte Carlo simulation results，include: (a) cd metal thermal neutron shielding efficiency (b) HDPE thickness effect on epithermal neutron counting (c) Sensitivities of the 3He detector (d) Sensitivities of the Epithermal neutron detector (e) Different probe time spectrum data (f) logging speed logging curve data et al.
description: Prompt Fission Neutron Uranium Logging(III): logging instrument Relevant logging experimental data and Monte Carlo simulation results，include: (a) cd metal thermal neutron shielding efficiency (b) HDPE thickness effect on epithermal neutron counting (c) Sensitivities of the 3He detector (d) Sensitivities of the Epithermal neutron detector (e) Different probe time spectrum data (f) logging speed logging curve data et al.
DOI: 10.57760/sciencedb.14108
title: Teacher&StudentData
title: Teacher&StudentData

description: The data include answers from teachers and students on their perceptions of predictors of achievement.
description: The data include answers from teachers and students on their perceptions of predictors of achievement.
DOI: 10.57760/sciencedb.14122
title: 10W GHz-rate Femtosecond All-fiber MOPA System using PCF-based optoacoustically mode-locked fiber laser
title: 使用基于 PCF 的光声模式锁定光纤激光器的 10W GHz 速率飞秒全光纤 MOPA 系统

description: We present an erbium-doped soliton fiber laser utilizing nonlinear polarization rotation, enhanced by a short-length solid-core photonic crystal fiber for GHz acoustic core resonance. By optimizing pump power to 920 mW, we achieve a stable 1.89-GHz, ~960-fs pulse train with 10 mW average power and an SNR of 55 dB, indicating robust high harmonic mode-locking. A 10-m dispersion-compensated fiber broadens the pulse to 5 ps, which is then amplified through a three-stage Yb-Er co-doped fiber system, resulting in 10.8 W average power and 5.7 nJ per pulse. The amplified pulse is compressed to 84 fs via higher-order soliton self-compression in a 3.3 m single-mode fiber, achieving a peak power of 1.5 kW and a quality factor of ~22%. This all-fiber laser system provides high average power, high repetition rate, and ultrashort pulse durations, enabling flexible high-power pulse generation for ultrafast applications.
description: We present an erbium-doped soliton fiber laser utilizing nonlinear polarization rotation, enhanced by a short-length solid-core photonic crystal fiber for GHz acoustic core resonance. By optimizing pump power to 920 mW, we achieve a stable 1.89-GHz, ~960-fs pulse train with 10 mW average power and an SNR of 55 dB, indicating robust high harmonic mode-locking. A 10-m dispersion-compensated fiber broadens the pulse to 5 ps, which is then amplified through a three-stage Yb-Er co-doped fiber system, resulting in 10.8 W average power and 5.7 nJ per pulse. The amplified pulse is compressed to 84 fs via higher-order soliton self-compression in a 3.3 m single-mode fiber, achieving a peak power of 1.5 kW and a quality factor of ~22%. This all-fiber laser system provides high average power, high repetition rate, and ultrashort pulse durations, enabling flexible high-power pulse generation for ultrafast applications.
DOI: 10.57760/sciencedb.14137
title: Afforestation effects on soil bulk density, porosity, and texture raw data
title: Afforestation effects on soil bulk density, porosity, and texture raw data

description: This is a dataset on the impact of afforestation on soil physical properties (soil bulk density, porosity, electrical conductivity, and textures) from 455 peer-reviewed academic papers as well as master's theses and dissertations.
description: This is a dataset on the impact of afforestation on soil physical properties (soil bulk density, porosity, electrical conductivity, and textures) from 455 peer-reviewed academic papers as well as master's theses and dissertations.
DOI: 10.57760/sciencedb.14149
title: The supporting data for the paper"Time Series Prediction with Transformer Neural Network Optimized by IFS and Hunger-Driven DMOA"
title: The supporting data for the paper"Time Series Prediction with Transformer Neural Network Optimized by IFS and Hunger-Driven DMOA"

description: About DatasetContentDaily price data for indexes tracking stock exchanges from all over the world (United States, China, Canada, Germany, Japan, and more). The data was all collected from Yahoo Finance, which had several decades of data available for most exchanges.Prices are quoted in terms of the national currency of where each exchange is located.AcknowledgementsData collected from Yahoo FinancePhoto by Jason Leung on UnsplashTransformer Neural Network Time Series Prediction Dataset
description: About DatasetContentDaily price data for indexes tracking stock exchanges from all over the world (United States, China, Canada, Germany, Japan, and more). The data was all collected from Yahoo Finance, which had several decades of data available for most exchanges.Prices are quoted in terms of the national currency of where each exchange is located.AcknowledgementsData collected from Yahoo FinancePhoto by Jason Leung on UnsplashTransformer Neural Network Time Series Prediction Dataset
DOI: 10.57760/sciencedb.psych.00298
title: Independence of Implicit Mentalizing and Submentalizing in Automatic Perspective Taking
title: 自动观点采择中内隐心智化和潜心智化的分离

description: 1. behavioral experimental procedures; 2. behavioral data and their analysis results; 3. ERP data and their analysis codes
description: 1. behavioral experimental procedures; 2. behavioral data and their analysis results; 3. ERP data and their analysis codes
DOI: 10.57760/sciencedb.14151
title: Reliability Analysis of Dam Based on Vine Copula Function
title: Reliability Analysis of Dam Based on Vine Copula Function

description: Table or data on paper Reliability Analysis of Dam Based on Vine Copula Function
description: Table or data on paper Reliability Analysis of Dam Based on Vine Copula Function
DOI: 10.57760/sciencedb.14155
title: Single-cell RNA of genital herpes
title: Single-cell RNA of genital herpes

description: single-cell RNA sequencing (scRNA-seq) of immune cells isolated from the peripheral blood of both healthy individuals and recurrent genital herpes.
description: single-cell RNA sequencing (scRNA-seq) of immune cells isolated from the peripheral blood of both healthy individuals and recurrent genital herpes.
DOI: 10.57760/sciencedb.14152
title: Second harmonic generation and third harmonic enhancement in silicon by composite metasurface and intense terahertz
title: Second harmonic generation and third harmonic enhancement in silicon by composite metasurface and intense terahertz

description: The compression and integration of nonlinear optical processes to the nanoscale are expected to have significant implications for quantum optics, biology and medicine. In this work, a composite metasurface consisting of hollow-bow-tie-shaped metal metasurface and patterned amorphous silicon metasurface is proposed. An external terahertz (THz) electric field enhanced by the hollow-bow-tie structure is employed to break the centrosymmtry which allows the generation of optical second harmonic. Meanwhile, the amorphous silicon nanocolumns inside the hollow-bow-tie-shaped structure enhances the optical laser field and improves the conversion efficiency of second and third harmonics. The numerical results indicate that at an incident optical laser intensity of 1.20 GW/cm2 and a y-component of the incident THz electric field of 10 kV/cm, the powers of the generated second and third harmonics are 3.96×10-6 W and 7.42×10-6 W, respectively, with conversion efficiencies of 3.93×10-7 and 7.18×10-7. The conversion efficiency of the third harmonic is increased by a factor of 700 compared to that of unpatterned silicon. The configuration proposed in this paper offers a solution for applications that need to take into account both high nonlinear efficiency and ultra-fast tunability.
description: The compression and integration of nonlinear optical processes to the nanoscale are expected to have significant implications for quantum optics, biology and medicine. In this work, a composite metasurface consisting of hollow-bow-tie-shaped metal metasurface and patterned amorphous silicon metasurface is proposed. An external terahertz (THz) electric field enhanced by the hollow-bow-tie structure is employed to break the centrosymmtry which allows the generation of optical second harmonic. Meanwhile, the amorphous silicon nanocolumns inside the hollow-bow-tie-shaped structure enhances the optical laser field and improves the conversion efficiency of second and third harmonics. The numerical results indicate that at an incident optical laser intensity of 1.20 GW/cm2 and a y-component of the incident THz electric field of 10 kV/cm, the powers of the generated second and third harmonics are 3.96×10-6 W and 7.42×10-6 W, respectively, with conversion efficiencies of 3.93×10-7 and 7.18×10-7. The conversion efficiency of the third harmonic is increased by a factor of 700 compared to that of unpatterned silicon. The configuration proposed in this paper offers a solution for applications that need to take into account both high nonlinear efficiency and ultra-fast tunability.
DOI: 10.57760/sciencedb.partic.00005
title: Positron Emission Projection Imaging: A technique for concentration field measurements in opaque industrial systems
title: Positron Emission Projection Imaging: A technique for concentration field measurements in opaque industrial systems

description: A novel Positron Emission Projection Imaging (PEPI) algorithm designed to compute the plane-projected spatial distribution of radiolabelled materials without the need for collimation is introduced. By leveraging improved data efficiency, we have achieved a technique with enhanced spatial resolution and temporal resolution compared to previous PEPI algorithms. Validation of this algorithm was conducted using synthetic data generated from a digital twin of a PET scanner, demonstrating its accuracy for practical applications. The industrial advantage of this novel algorithm was applied in the imaging of laminar flow mixing within a ploughshare mixer, with the experimental results compared against those obtained from validated computational fluid dynamics (CFD) models. This comparison highlights an important use case for PEPI as a robust validation tool for CFD simulations, crucial for enhancing industrial processes. PEPI, which uses deeply penetrating gamma-photons, is now capable of imaging opaque fluids and solids in industrial casing. Future directions for this work include further algorithmic refinements and expanding its application across various industrial systems, establishing PEPI as a robust tool for in-depth industrial process analysis. The advancements presented here allow for optimized mixer design and enhanced process efficiency, extending the frontiers of tomographic imaging in industrial applications.
description: A novel Positron Emission Projection Imaging (PEPI) algorithm designed to compute the plane-projected spatial distribution of radiolabelled materials without the need for collimation is introduced. By leveraging improved data efficiency, we have achieved a technique with enhanced spatial resolution and temporal resolution compared to previous PEPI algorithms. Validation of this algorithm was conducted using synthetic data generated from a digital twin of a PET scanner, demonstrating its accuracy for practical applications. The industrial advantage of this novel algorithm was applied in the imaging of laminar flow mixing within a ploughshare mixer, with the experimental results compared against those obtained from validated computational fluid dynamics (CFD) models. This comparison highlights an important use case for PEPI as a robust validation tool for CFD simulations, crucial for enhancing industrial processes. PEPI, which uses deeply penetrating gamma-photons, is now capable of imaging opaque fluids and solids in industrial casing. Future directions for this work include further algorithmic refinements and expanding its application across various industrial systems, establishing PEPI as a robust tool for in-depth industrial process analysis. The advancements presented here allow for optimized mixer design and enhanced process efficiency, extending the frontiers of tomographic imaging in industrial applications.
DOI: 10.57760/sciencedb.14159
title: (7+18)DoF Gripper Dataset
title: (7+18)DoF夹具数据集

description: (7+18)DoF fixture dataset generated by simulation
description: (7+18)DoF fixture dataset generated by simulation
DOI: 10.57760/sciencedb.partic.00010
title: Discrete element method model calibration and validation for the spreading step of the powder bed fusion process to predict the quality of the layer surface
title: Discrete element method model calibration and validation for the spreading step of the powder bed fusion process to predict the quality of the layer surface

description: A Discrete Element Method model, including interparticle cohesive forces, was calibrated and validated to develop a tool to predict the powder layer’s quality in the powder bed fusion process. An elastic contact model was used to describe cohesive interparticle interactions. The surface energy of the model particles was estimated by assuming that the pull-off force should provide the strength of the material evaluated at low consolidation with shear test experiments. The particle rolling friction was calibrated considering the bulk density of the layer produced by the spreading tool. The model was validated with the experiments by comparing the wavelet power spectra obtained with the simulations with those of the experimental layers illuminated by grazing light. The calibration proposed in this study demonstrated superior performance compared to our previous methods, which relied on measuring the angle of repose and unconfined yield strength.
description: A Discrete Element Method model, including interparticle cohesive forces, was calibrated and validated to develop a tool to predict the powder layer’s quality in the powder bed fusion process. An elastic contact model was used to describe cohesive interparticle interactions. The surface energy of the model particles was estimated by assuming that the pull-off force should provide the strength of the material evaluated at low consolidation with shear test experiments. The particle rolling friction was calibrated considering the bulk density of the layer produced by the spreading tool. The model was validated with the experiments by comparing the wavelet power spectra obtained with the simulations with those of the experimental layers illuminated by grazing light. The calibration proposed in this study demonstrated superior performance compared to our previous methods, which relied on measuring the angle of repose and unconfined yield strength.
DOI: 10.57760/sciencedb.14166
title: depression in early adolescence: gender differences in prevalence, depressive symptoms,and somatic and emotional comorbidities
title: depression in early adolescence: gender differences in prevalence, depressive symptoms,and somatic and emotional comorbidities

description: The prevalence of depression among adolescents is notably high; however, there has been limited research investigating gender differences in depressive symptoms and somatic and emotional comorbidities in early adolescence. We used convenience sampling and obtained a sample of 1602 students in early adolescence with a mean age of 21.88 and standard deviation of 1.16 in China. Depression, somatic comorbidities (i.e., qi stagnation, qi deficiency, and pain), and emotional comorbidities (i.e., anxiety and hostility) were measured. We found that somatic and emotional comorbidities were moderately to strongly associated with depression in early adolescents, and the detection rates for subthreshold depression (SD) and major depression (MD) were 7.37% and 7.74%, respectively, with a significantly higher prevalence observed in females than in males. In the SD group, males had more concentration problems in depression than females, and females had higher levels of somatic and emotional comorbidities than males. In the SD group, males had more concentration problems and fatigue issues in depression, and females had more suicidal ideation and higher levels of anxiety and somatic pain than males. Therefore, a gender-informed approach to early interventions for depression in adolescents is recommended.
description: The prevalence of depression among adolescents is notably high; however, there has been limited research investigating gender differences in depressive symptoms and somatic and emotional comorbidities in early adolescence. We used convenience sampling and obtained a sample of 1602 students in early adolescence with a mean age of 21.88 and standard deviation of 1.16 in China. Depression, somatic comorbidities (i.e., qi stagnation, qi deficiency, and pain), and emotional comorbidities (i.e., anxiety and hostility) were measured. We found that somatic and emotional comorbidities were moderately to strongly associated with depression in early adolescents, and the detection rates for subthreshold depression (SD) and major depression (MD) were 7.37% and 7.74%, respectively, with a significantly higher prevalence observed in females than in males. In the SD group, males had more concentration problems in depression than females, and females had higher levels of somatic and emotional comorbidities than males. In the SD group, males had more concentration problems and fatigue issues in depression, and females had more suicidal ideation and higher levels of anxiety and somatic pain than males. Therefore, a gender-informed approach to early interventions for depression in adolescents is recommended.
DOI: 10.57760/sciencedb.14171
title: Paper experiment simulation data
title: 论文实验仿真数据

description: In this paper, we propose a novel scheme to enhance the spectral efficiency and security of simultaneous wireless information and power transfer (SWIPT) systems. Firstly, the scheme employs generalized spatial modulation (GSM) on transmission antennas and partitioned intelligent reflecting surface (IRS), significantly increasing the number of transmission channels. Consequently, our proposed GSM scheme can transmit more information bits compared to traditional GSM. Secondly, we fully exploit the codeword structure of space-time block coding (STBC) by embedding artificial noise (AN) into the STBC signals. By utilizing channel state information, we set coefficients to cancel out the AN at the legitimate receiver, ensuring that only the illegitimate receiver is affected by the AN, thereby guaranteeing the security of the communication. Finally, since the energy harvesting receiver (EHR) cannot eliminate the AN, it can instead collect more energy through the AN. Additionally, we have derived an upper bound expression for the average bit error probability (ABEP) of the proposed scheme. Our research is of particular interest and use to academics in the field of telecommunications, which comprises an essential segment of your journal’s readership. We believe our research findings align with the aims and scope of your esteemed journal, as they outline approaches to improving bit error rate performance, enhancing security, and optimizing energy harvesting. These aspects are crucial for improving communication quality
description: In this paper, we propose a novel scheme to enhance the spectral efficiency and security of simultaneous wireless information and power transfer (SWIPT) systems. Firstly, the scheme employs generalized spatial modulation (GSM) on transmission antennas and partitioned intelligent reflecting surface (IRS), significantly increasing the number of transmission channels. Consequently, our proposed GSM scheme can transmit more information bits compared to traditional GSM. Secondly, we fully exploit the codeword structure of space-time block coding (STBC) by embedding artificial noise (AN) into the STBC signals. By utilizing channel state information, we set coefficients to cancel out the AN at the legitimate receiver, ensuring that only the illegitimate receiver is affected by the AN, thereby guaranteeing the security of the communication. Finally, since the energy harvesting receiver (EHR) cannot eliminate the AN, it can instead collect more energy through the AN. Additionally, we have derived an upper bound expression for the average bit error probability (ABEP) of the proposed scheme. Our research is of particular interest and use to academics in the field of telecommunications, which comprises an essential segment of your journal’s readership. We believe our research findings align with the aims and scope of your esteemed journal, as they outline approaches to improving bit error rate performance, enhancing security, and optimizing energy harvesting. These aspects are crucial for improving communication quality