cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00206.00036
title: Supplement to ``Investigation of methods to enhance the power of high-dimensional tests"
title: 高维检验的功效提高方法探究附加材料

description: This is a simulation result of the effectiveness improvement methods for high-dimensional data testing (such as mean testing, linear model testing, and independence testing), including images and tables. 
description: This is a simulation result of the effectiveness improvement methods for high-dimensional data testing (such as mean testing, linear model testing, and independence testing), including images and tables.
DOI: 10.57760/sciencedb.partic.00047
title: Significant effects of transport on nanoparticles during new particle formation events in the atmosphere of Beijing
title: Significant effects of transport on nanoparticles during new particle formation events in the atmosphere of Beijing

description: The mechanisms of new particle formation (NPF) events that occurred under high aerosol loadings (“polluted” NPF) in the atmosphere have been unclear, which has inhibited the precision of particle pollution control. To deepen the understanding of how the “polluted” NPF events occur, a one-month comprehensive measurement was conducted in the atmosphere of Beijing during the summer of 2016. The “clean” NPF events (frequency=22%) (condensation sink, CS&lt;0.015 s–1) were found to be caused by local nucleation and growth. The “polluted” NPF events (frequency=28%) (CS&gt;0.015 s–1) were influenced by both local nucleation-growth and regional transport, and the contributions from the two factors to 6–25 nm particle number concentration were 60% and 40%, respectively. This study emphasized the importance of the transport for nanoparticles in relatively polluted atmospheres, and for that the regional joint particle pollution control would be an essential policy.
description: The mechanisms of new particle formation (NPF) events that occurred under high aerosol loadings (“polluted” NPF) in the atmosphere have been unclear, which has inhibited the precision of particle pollution control. To deepen the understanding of how the “polluted” NPF events occur, a one-month comprehensive measurement was conducted in the atmosphere of Beijing during the summer of 2016. The “clean” NPF events (frequency=22%) (condensation sink, CS&lt;0.015 s–1) were found to be caused by local nucleation and growth. The “polluted” NPF events (frequency=28%) (CS&gt;0.015 s–1) were influenced by both local nucleation-growth and regional transport, and the contributions from the two factors to 6–25 nm particle number concentration were 60% and 40%, respectively. This study emphasized the importance of the transport for nanoparticles in relatively polluted atmospheres, and for that the regional joint particle pollution control would be an essential policy.
DOI: 10.15468/dl.kt5ggy
title: Occurrence Download

description: A dataset containing 689 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lestrimelitta rufipes (Friese, 1903)"
 ]
}

 The dataset includes 689 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001125-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.partic.00048
title: Multi-scale numerical simulation of fluidized beds: Model applicability assessment
title: Multi-scale numerical simulation of fluidized beds: Model applicability assessment

description: In the past few decades, multi-scale numerical methods have been developed to model dense gas-solid flow in fluidized beds with different resolutions, accuracies, and efficiencies. However, changes in fluidized beds’ simulations are still not elucidated: (i) the proper selection of the sub-models, parameters, and numerical resolution; (ii) the multivariate coupling of operating conditions, bed configurations, polydispersity, and additional forces. Accordingly, a state-of-the-art review is performed to assess the applicability of multi-scale numerical methods in predicting dense gas-solid flow in fluidized beds at specific fluidization regimes (e.g., bubbling fluidization region, fast fluidization regime), with a focus on the inter-particle collision models, inter-phase interaction models, collision parameters, and polydispersity effect. A mutual restriction exists between resolution and efficiency. Higher-resolution methods need more computational resources and thus are suitable for smaller-scale simulations to provide a database for closure development. Lower-resolution methods require fewer computational resources and thus underpin large-scale simulations to explore macro-scale phenomena. Model validations need to be further conducted under multiple flow conditions and comprehensive metrics (e.g., velocity profiles at different heights, bubbles, or cluster characteristics) for further improvement of the applicability of each numerical method.
description: In the past few decades, multi-scale numerical methods have been developed to model dense gas-solid flow in fluidized beds with different resolutions, accuracies, and efficiencies. However, changes in fluidized beds’ simulations are still not elucidated: (i) the proper selection of the sub-models, parameters, and numerical resolution; (ii) the multivariate coupling of operating conditions, bed configurations, polydispersity, and additional forces. Accordingly, a state-of-the-art review is performed to assess the applicability of multi-scale numerical methods in predicting dense gas-solid flow in fluidized beds at specific fluidization regimes (e.g., bubbling fluidization region, fast fluidization regime), with a focus on the inter-particle collision models, inter-phase interaction models, collision parameters, and polydispersity effect. A mutual restriction exists between resolution and efficiency. Higher-resolution methods need more computational resources and thus are suitable for smaller-scale simulations to provide a database for closure development. Lower-resolution methods require fewer computational resources and thus underpin large-scale simulations to explore macro-scale phenomena. Model validations need to be further conducted under multiple flow conditions and comprehensive metrics (e.g., velocity profiles at different heights, bubbles, or cluster characteristics) for further improvement of the applicability of each numerical method.
DOI: 10.57760/sciencedb.partic.00049
title: Interpretable machine learning analysis and automated modeling to simulate fluid-particle flows
title: Interpretable machine learning analysis and automated modeling to simulate fluid-particle flows

description: The present study extracts human-understandable insights from machine learning (ML)-based mesoscale closure in fluid-particle flows via several novel data-driven analysis approaches, i.e., maximal information coefficient (MIC), interpretable ML, and automated ML. It is previously shown that the solid volume fraction has the greatest effect on the drag force. The present study aims to quantitatively investigate the influence of flow properties on mesoscale drag correction (Hd). The MIC results show strong correlations between the features (i.e., slip velocity (𝑢˜𝑠𝑦∗) and particle volume fraction (𝜀¯𝑠)) and the label Hd. The interpretable ML analysis confirms this conclusion, and quantifies the contribution of 𝑢˜𝑠𝑦∗, 𝜀¯𝑠 and gas pressure gradient to the model as 71.9%, 27.2% and 0.9%, respectively. Automated ML without the need to select the model structure and hyperparameters is used for modeling, improving the prediction accuracy over our previous model (Zhu et al., 2020; Ouyang, Zhu, Su, & Luo, 2021).
description: The present study extracts human-understandable insights from machine learning (ML)-based mesoscale closure in fluid-particle flows via several novel data-driven analysis approaches, i.e., maximal information coefficient (MIC), interpretable ML, and automated ML. It is previously shown that the solid volume fraction has the greatest effect on the drag force. The present study aims to quantitatively investigate the influence of flow properties on mesoscale drag correction (Hd). The MIC results show strong correlations between the features (i.e., slip velocity (𝑢˜𝑠𝑦∗) and particle volume fraction (𝜀¯𝑠)) and the label Hd. The interpretable ML analysis confirms this conclusion, and quantifies the contribution of 𝑢˜𝑠𝑦∗, 𝜀¯𝑠 and gas pressure gradient to the model as 71.9%, 27.2% and 0.9%, respectively. Automated ML without the need to select the model structure and hyperparameters is used for modeling, improving the prediction accuracy over our previous model (Zhu et al., 2020; Ouyang, Zhu, Su, & Luo, 2021).
DOI: 10.57760/sciencedb.partic.00050
title: Engineered self-healing single-cavity microcapsules for pulsatile release of drug delivery
title: Engineered self-healing single-cavity microcapsules for pulsatile release of drug delivery

description: A wide range of polymer-based drug delivery systems have been reported for the treatment of various diseases. However, the dosing regimen of many drugs, such as stimulator of interferon genes agonists, programmed cell death protein-1 antibodies, and coronavirus disease 2019 vaccines, consists of repeated intratumoral or intramuscular injections. These repeated administrations may lead to poor adherence, thus resulting in compromised therapeutic outcomes and increased financial burden. Here, we developed a multidose drug delivery platform by engineering polylactic-co-glycolic acid (PLGA) with different molecular weights into self-healing single-cavity microcapsules (SSM). This approach showed a flexible collocation strategy to achieve customized pulsatile drug release and was fully degradable with good safety. Notably, this single-injection delivery system contains only PLGA, holding great promise for clinical translation.
description: A wide range of polymer-based drug delivery systems have been reported for the treatment of various diseases. However, the dosing regimen of many drugs, such as stimulator of interferon genes agonists, programmed cell death protein-1 antibodies, and coronavirus disease 2019 vaccines, consists of repeated intratumoral or intramuscular injections. These repeated administrations may lead to poor adherence, thus resulting in compromised therapeutic outcomes and increased financial burden. Here, we developed a multidose drug delivery platform by engineering polylactic-co-glycolic acid (PLGA) with different molecular weights into self-healing single-cavity microcapsules (SSM). This approach showed a flexible collocation strategy to achieve customized pulsatile drug release and was fully degradable with good safety. Notably, this single-injection delivery system contains only PLGA, holding great promise for clinical translation.
DOI: 10.57760/sciencedb.partic.00051
title: New horizons for therapeutic applications of nanozymes in oral infection
title: New horizons for therapeutic applications of nanozymes in oral infection

description: As a category of nanomaterials with excellent catalytic efficiency, great substrate specificity, and high recovery efficiency, nanozymes have attracted increasing attention in various biomedical applications. Currently, numbers of nanozyme-assisted strategies have been well developed for the theranostics of various diseases by taking advantages of their multienzyme-like characteristics, low cost, and high stability. As the most prevalent oral diseases, oral infection poses a global hazard to human health, and current therapeutic options are insufficient to resolve all the clinical issues. Based on their admirable activity, nanozymes can be frequently employed in the identification and treatment of various oral infectious disorders. Herein, we provide a brief review focused on the classification of nanozymes, analyses of nanozyme-based antibacterial mechanism, research progress in oral bacterial control, and representative studies of nanozyme-assisted oral inflammatory management. Moreover, major challenges and potential opportunities regarding the use of nanozymes in oral infectious diseases are also highlighted and discussed. This review not only summarizes the recent studies of nanozymes in oral infection but also promotes the further development of enzyme-mimetic strategies towards various oral diseases.
description: As a category of nanomaterials with excellent catalytic efficiency, great substrate specificity, and high recovery efficiency, nanozymes have attracted increasing attention in various biomedical applications. Currently, numbers of nanozyme-assisted strategies have been well developed for the theranostics of various diseases by taking advantages of their multienzyme-like characteristics, low cost, and high stability. As the most prevalent oral diseases, oral infection poses a global hazard to human health, and current therapeutic options are insufficient to resolve all the clinical issues. Based on their admirable activity, nanozymes can be frequently employed in the identification and treatment of various oral infectious disorders. Herein, we provide a brief review focused on the classification of nanozymes, analyses of nanozyme-based antibacterial mechanism, research progress in oral bacterial control, and representative studies of nanozyme-assisted oral inflammatory management. Moreover, major challenges and potential opportunities regarding the use of nanozymes in oral infectious diseases are also highlighted and discussed. This review not only summarizes the recent studies of nanozymes in oral infection but also promotes the further development of enzyme-mimetic strategies towards various oral diseases.
DOI: 10.57760/sciencedb.space.01952
title: A Three-Frequency Ca+ Doppler Lidar for Ion Temperature Measurements in the E and F Regions
title: A Three-Frequency Ca+ Doppler Lidar for Ion Temperature Measurements in the E and F Regions

description: A Three-Frequency Ca+ Doppler Lidar for Ion Temperature Measurements in the E and F Regions Fang Wu1,2, Jing Jiao1*, Lifang Du1, Haoran Zheng1, Zelong Wang3, Xuewu Cheng4, Fuju Wu5, Yuan Xia6, Jiqin Wang4, Wei Wang4, Kexin Wang3, Yuchang Xun7, Jiyao Xu1, Yajun Zhu1, Wei Yuan1, Weijun Liu1, Guotao Yang1*1 State Key Laboratory of Space Weather, National Space Science Center, Chinese Academy of Sciences, Beijing, China,2 University of Chinese Academy of Sciences, Beijing, China,3 School of Science, Jiangsu University of Science and Technology, Zhenjiang, China,4 Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China,5 School of Physics, Henan Normal University, Xinxiang, China,6 School of Electronic Engineering, Nanjing Xiaozhuang University, Nanjing, China,7 College of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan, China,Corresponding authors: Guotao Yang (gtyang@swl.ac.cn) and Jing Jiao (jjiao@swl.ac.cn)
description: A Three-Frequency Ca+ Doppler Lidar for Ion Temperature Measurements in the E and F Regions Fang Wu1,2, Jing Jiao1*, Lifang Du1, Haoran Zheng1, Zelong Wang3, Xuewu Cheng4, Fuju Wu5, Yuan Xia6, Jiqin Wang4, Wei Wang4, Kexin Wang3, Yuchang Xun7, Jiyao Xu1, Yajun Zhu1, Wei Yuan1, Weijun Liu1, Guotao Yang1*1 State Key Laboratory of Space Weather, National Space Science Center, Chinese Academy of Sciences, Beijing, China,2 University of Chinese Academy of Sciences, Beijing, China,3 School of Science, Jiangsu University of Science and Technology, Zhenjiang, China,4 Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China,5 School of Physics, Henan Normal University, Xinxiang, China,6 School of Electronic Engineering, Nanjing Xiaozhuang University, Nanjing, China,7 College of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan, China,Corresponding authors: Guotao Yang (gtyang@swl.ac.cn) and Jing Jiao (jjiao@swl.ac.cn)
DOI: 10.57760/sciencedb.14690
title: Protective activity of health-promoting compounds in leaves of Crataegus pinnatifida Bge.
title: Protective activity of health-promoting compounds in leaves of Crataegus pinnatifida Bge.

description: 这是文章山楂叶的支持数据。内容包括以下几个方面： 1. 文章的研究过程。2. 化合物的 1H 和 13C NMR 和 2D NMR 波谱。3. 抗氧化实验数据。4. 化合物对过氧化氢诱导的神经细胞的保护活性数据。5. 化合物对酒精诱导的肝细胞损伤的保护活性数据。
description: 这是文章山楂叶的支持数据。内容包括以下几个方面： 1. 文章的研究过程。2. 化合物的 1H 和 13C NMR 和 2D NMR 波谱。3. 抗氧化实验数据。4. 化合物对过氧化氢诱导的神经细胞的保护活性数据。5. 化合物对酒精诱导的肝细胞损伤的保护活性数据。
DOI: 10.57760/sciencedb.partic.00052
title: Integrating trace Ti-doping and LiYO2-coating to stabilize Ni-rich cathodes for lithium-ion batteries
title: Integrating trace Ti-doping and LiYO2-coating to stabilize Ni-rich cathodes for lithium-ion batteries

description: Ni-rich layered cathodes have become the promising candidates for the next-generation high-energy Li-ion batteries due to their high energy density and competitive cost. However, they suffer from rapid capacity fading due to the structural and interfacial instability upon long-term operation. Herein, the Ti-doped and LiYO2-coated Ni-rich layered cathode has been synthesized via a facile one-step sintering strategy, which significantly restrains the interfacial parasitic side reactions and enhances the structural stability. Specifically, the trace Ti4+ doping greatly stabilizes the lattice oxygen and alleviates the Li/Ni disorder while the LiYO2 coating layer can prevent the erosion of the cathode by the electrolyte during cycles. As a result, the Ti-NCM83@LYO delivers a high specific capacity of 135 mAh g–1 even at 10C and there is almost no capacity loss at 1C for 100 cycles. This work provides a simple one-step dual-modification strategy to meet the commercial requirements of Ni-rich cathodes.
description: Ni-rich layered cathodes have become the promising candidates for the next-generation high-energy Li-ion batteries due to their high energy density and competitive cost. However, they suffer from rapid capacity fading due to the structural and interfacial instability upon long-term operation. Herein, the Ti-doped and LiYO2-coated Ni-rich layered cathode has been synthesized via a facile one-step sintering strategy, which significantly restrains the interfacial parasitic side reactions and enhances the structural stability. Specifically, the trace Ti4+ doping greatly stabilizes the lattice oxygen and alleviates the Li/Ni disorder while the LiYO2 coating layer can prevent the erosion of the cathode by the electrolyte during cycles. As a result, the Ti-NCM83@LYO delivers a high specific capacity of 135 mAh g–1 even at 10C and there is almost no capacity loss at 1C for 100 cycles. This work provides a simple one-step dual-modification strategy to meet the commercial requirements of Ni-rich cathodes.
DOI: 10.57760/sciencedb.14699
title: Relationship between Green Space Resources, Health and Well-being of Recreationists, Satisfaction, and Environmentally Responsible Behavior in Urban Parks
title: 城市公园绿地资源、游憩者的健康和福祉、满意度与环境责任行为关系研究
DOI: 10.57760/sciencedb.14700
title: Morphology characterization and humidity measurement data of PEO/ZnO sensor
title: Morphology characterization and humidity measurement data of PEO/ZnO sensor

description: Scanning electron microscopy (SEM, Germany-ZEISS sigma500) was used to characterize the morphology and microstructure of the samples. X-ray diffraction (XRD, Bruker D8 Advance, Bruker, Karlsruhe, Germany; Cu Kα radiation, λ = 0.154 nm) was used to characterize the phase composition of the samples. Fourier-transform infrared spectrometry (FTIR, Shimadzu-IRTracer 100, Japan) was used to measure the functional groups of the samples. Elemental analysis of the sample was performed using X-ray photoelectron spectroscopy (XPS, ESCALAB 250Xi, Thermo Fisher Scientific, USA) with an Al Kα source of 1486.6 eV.The humidity performance test used a saturated salt solution of LiCl, MgCl2, K2CO3, Mg(NO3)2, NaCl, KCl, and KNO3 to provide environments with a humidity of 11% RH, 33% RH, 43% RH, 59% RH, 75% RH, 85% RH, or 95% RH, respectively. The performance of a humidity sensor operating at 1 V and operating at a frequency range of 40 Hz to 100 kHz at room temperature (RT) was tested using a Zennium workstation (CIMPS 2, Zahner). 
description: Scanning electron microscopy (SEM, Germany-ZEISS sigma500) was used to characterize the morphology and microstructure of the samples. X-ray diffraction (XRD, Bruker D8 Advance, Bruker, Karlsruhe, Germany; Cu Kα radiation, λ = 0.154 nm) was used to characterize the phase composition of the samples. Fourier-transform infrared spectrometry (FTIR, Shimadzu-IRTracer 100, Japan) was used to measure the functional groups of the samples. Elemental analysis of the sample was performed using X-ray photoelectron spectroscopy (XPS, ESCALAB 250Xi, Thermo Fisher Scientific, USA) with an Al Kα source of 1486.6 eV.The humidity performance test used a saturated salt solution of LiCl, MgCl2, K2CO3, Mg(NO3)2, NaCl, KCl, and KNO3 to provide environments with a humidity of 11% RH, 33% RH, 43% RH, 59% RH, 75% RH, 85% RH, or 95% RH, respectively. The performance of a humidity sensor operating at 1 V and operating at a frequency range of 40 Hz to 100 kHz at room temperature (RT) was tested using a Zennium workstation (CIMPS 2, Zahner).