cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.03211
title: Specific Glioma Prognostic Subtype Distinctions Based on DNA Methylation Patterns
title: Specific Glioma Prognostic Subtype Distinctions Based on DNA Methylation Patterns

description: DNA methylation is an important regulator of gene expression and may provide an important basis for effective glioma diagnosis and therapy. Here, we explored specific prognosis subtypes based on DNA methylation status using 653 gliomas from The Cancer Genome Atlas (TCGA) database. Five subgroups were distinguished by consensus clustering using 11,637 cytosines preceding a guanosine (CpGs) that significantly influenced survival. The specific DNA methylation patterns were correlated with age, tumor stage, and prognosis. Additionally, weighted gene co-expression network analysis (WGCNA) analysis of CpG sites revealed that 11 of them could distinguish the samples into high- and low-methylation groups and could classify the prognostic information of samples after cluster analysis of the training set samples using the hierarchical clustering algorithm. Similar results were obtained from the test set and 12 glioma patients. Moreover, in vitro experiments revealed an inverse relationship between methylation level and migration ability or insensitivity to temozolomide (or radiotherapy) of glioma cells based on the final prognostic predictor. Thus, these results suggested that the model constructed in this study could provide guidance for clinicians regarding the prognosis of various epigenetic subtypes.
description: DNA methylation is an important regulator of gene expression and may provide an important basis for effective glioma diagnosis and therapy. Here, we explored specific prognosis subtypes based on DNA methylation status using 653 gliomas from The Cancer Genome Atlas (TCGA) database. Five subgroups were distinguished by consensus clustering using 11,637 cytosines preceding a guanosine (CpGs) that significantly influenced survival. The specific DNA methylation patterns were correlated with age, tumor stage, and prognosis. Additionally, weighted gene co-expression network analysis (WGCNA) analysis of CpG sites revealed that 11 of them could distinguish the samples into high- and low-methylation groups and could classify the prognostic information of samples after cluster analysis of the training set samples using the hierarchical clustering algorithm. Similar results were obtained from the test set and 12 glioma patients. Moreover, in vitro experiments revealed an inverse relationship between methylation level and migration ability or insensitivity to temozolomide (or radiotherapy) of glioma cells based on the final prognostic predictor. Thus, these results suggested that the model constructed in this study could provide guidance for clinicians regarding the prognosis of various epigenetic subtypes.
DOI: 10.57760/sciencedb.03216
title: The melatonin-MT1 receptor axis modulates tumor growth in PTEN-mutated gliomas
title: The melatonin-MT1 receptor axis modulates tumor growth in PTEN-mutated gliomas

description: More than 40% of glioma patients have tumors that harbor PTEN (phosphatase and tensin homologue deleted on chromosome ten) mutations; this disease is associated with poor therapeutic resistance and outcome. Such mutations are linked to increased cell survival and growth, decreased apoptosis, and drug resistance; thus, new therapeutic strategies focusing on inhibiting glioma tumorigenesis and progression are urgently needed. Melatonin, an indolamine produced and secreted predominantly by the pineal gland, mediates a variety of physiological functions and possesses antioxidant and antitumor properties. Here, we analyzed the relationship between PTEN and the inhibitory effect of melatonin in primary human glioma cells and cultured glioma cell lines. The results showed that melatonin can inhibit glioma cell growth both in culture and in vivo. This inhibition was associated with PTEN levels, which significantly correlated with the expression level of MT1 in patients. In fact, c-fos-mediated MT1 was shown to be a key modulator of the effect of melatonin on gliomas that harbor wild type PTEN. Taken together, these data suggest that melatonin-MT1 receptor complexes represent a potential target for the treatment of glioma.
description: More than 40% of glioma patients have tumors that harbor PTEN (phosphatase and tensin homologue deleted on chromosome ten) mutations; this disease is associated with poor therapeutic resistance and outcome. Such mutations are linked to increased cell survival and growth, decreased apoptosis, and drug resistance; thus, new therapeutic strategies focusing on inhibiting glioma tumorigenesis and progression are urgently needed. Melatonin, an indolamine produced and secreted predominantly by the pineal gland, mediates a variety of physiological functions and possesses antioxidant and antitumor properties. Here, we analyzed the relationship between PTEN and the inhibitory effect of melatonin in primary human glioma cells and cultured glioma cell lines. The results showed that melatonin can inhibit glioma cell growth both in culture and in vivo. This inhibition was associated with PTEN levels, which significantly correlated with the expression level of MT1 in patients. In fact, c-fos-mediated MT1 was shown to be a key modulator of the effect of melatonin on gliomas that harbor wild type PTEN. Taken together, these data suggest that melatonin-MT1 receptor complexes represent a potential target for the treatment of glioma.
DOI: 10.57760/sciencedb.03215
title: DataSet of thermodynamic optimization with multi objectives and parameters for liquid air energy storage system based on the particle swarm optimization (PSO)
title: DataSet of thermodynamic optimization with multi objectives and parameters for liquid air energy storage system based on the particle swarm optimization (PSO)

description: Liquid air energy storage is a promising large-scale energy storage technology for the grid with the increasing penetration of renewable energy. However, most of the previous researches focusing on the thermodynamic optimization relied on different kinds of simulation software, which were commonly single-objective and single-parameter, and needed complex manual test. Thus, an intelligent optimization algorithm based on the particle swarm optimization (PSO) was proposed to achieve the optimal system performance. The thermodynamic model was developed based on MATLAB, and the round-trip efficiency (RTE) and exergy efficiency were selected as performance evaluation indexes. The adiabatic efficiency of the compressor and expander and the ambient temperature were set as optimization variables to obtain the optimal combination of multi parameters, especially the compression and expansion pressures. The comparison between the optimization results and that derived from a traditional simulation software demonstrates that the algorithm has high reliability and adaptability for the multi-parameter and multi-objective optimization of the liquid air energy storage system. The optimal RTE and exergy efficiency of the system are 0.6220 and 0.6576, respectively, and the corresponding compression pressure and expansion pressure are 8.6 MPa and 7.4 MPa, respectively.
description: Liquid air energy storage is a promising large-scale energy storage technology for the grid with the increasing penetration of renewable energy. However, most of the previous researches focusing on the thermodynamic optimization relied on different kinds of simulation software, which were commonly single-objective and single-parameter, and needed complex manual test. Thus, an intelligent optimization algorithm based on the particle swarm optimization (PSO) was proposed to achieve the optimal system performance. The thermodynamic model was developed based on MATLAB, and the round-trip efficiency (RTE) and exergy efficiency were selected as performance evaluation indexes. The adiabatic efficiency of the compressor and expander and the ambient temperature were set as optimization variables to obtain the optimal combination of multi parameters, especially the compression and expansion pressures. The comparison between the optimization results and that derived from a traditional simulation software demonstrates that the algorithm has high reliability and adaptability for the multi-parameter and multi-objective optimization of the liquid air energy storage system. The optimal RTE and exergy efficiency of the system are 0.6220 and 0.6576, respectively, and the corresponding compression pressure and expansion pressure are 8.6 MPa and 7.4 MPa, respectively.
DOI: 10.57760/sciencedb.03217
title: Supervillin promotes tumor angiogenesis in liver cancer
title: Supervillin promotes tumor angiogenesis in liver cancer

description: Tumor angiogenesis is a hallmark of liver cancer and is necessary for tumor growth and progression. Supervillin (SVIL) is highly expressed and implicated in several malignant processes of liver cancer. However, the functional relationships between SVIL and tumor angiogenesis in liver cancer have not yet been fully elucidated. The present study was based on bioinformatics analysis, patient tissue sample detection, three‑dimensional simulated blood vessel formation, a series of cytological experiments and mouse models. The results demonstrated the important role of SVIL in the progression of malignant liver cancer and tumor angiogenesis, both in terms of vasculogenic mimicry (VM) and endothelium‑dependent vessel (EDV) development. SVIL knockdown inhibited VM formation and induced tumor cell apoptosis via the VEGF‑p38 signaling axis and through various VM‑associated transcriptional factors, including vascular endothelial‑cadherin, matrix metalloproteinase 9/12 and migration‑inducing protein 7. SVIL may therefore be considered a potential tumor vascular biomarker and a promising therapeutic target for patients with liver cancer.
description: Tumor angiogenesis is a hallmark of liver cancer and is necessary for tumor growth and progression. Supervillin (SVIL) is highly expressed and implicated in several malignant processes of liver cancer. However, the functional relationships between SVIL and tumor angiogenesis in liver cancer have not yet been fully elucidated. The present study was based on bioinformatics analysis, patient tissue sample detection, three‑dimensional simulated blood vessel formation, a series of cytological experiments and mouse models. The results demonstrated the important role of SVIL in the progression of malignant liver cancer and tumor angiogenesis, both in terms of vasculogenic mimicry (VM) and endothelium‑dependent vessel (EDV) development. SVIL knockdown inhibited VM formation and induced tumor cell apoptosis via the VEGF‑p38 signaling axis and through various VM‑associated transcriptional factors, including vascular endothelial‑cadherin, matrix metalloproteinase 9/12 and migration‑inducing protein 7. SVIL may therefore be considered a potential tumor vascular biomarker and a promising therapeutic target for patients with liver cancer.
DOI: 10.57760/sciencedb.03221
title: DataSet of thermodynamic analysis of a liquid air energy storage system with off-peak electric heat storage and reutilization
title: DataSet of thermodynamic analysis of a liquid air energy storage system with off-peak electric heat storage and reutilization

description: As a large-scale energy storage technology, liquid air energy storage (LAES) can effectively improve the stability and quality of power grid. However, the traditional LAES has low cycle efficiency, high initial investment and low economic benefits. In order to improve the system performance, a LAES system based on off-peak electric heat storage and high temperature preheating of turbine inlet air was proposed. The thermodynamic characteristics of the LAES system were analyzed, and the energy analysis, exergy analysis and economic evaluation were carried out. Combined with off-peak electric heat storage, the power generation during the peak time by the LAES system can be significantly increased, and the economy of the LAES system can be effectively improved with the peak-valley electricity price difference, especially in areas where the price difference is obvious. The results will be beneficial for the application and promotion of the LAES technology.
description: As a large-scale energy storage technology, liquid air energy storage (LAES) can effectively improve the stability and quality of power grid. However, the traditional LAES has low cycle efficiency, high initial investment and low economic benefits. In order to improve the system performance, a LAES system based on off-peak electric heat storage and high temperature preheating of turbine inlet air was proposed. The thermodynamic characteristics of the LAES system were analyzed, and the energy analysis, exergy analysis and economic evaluation were carried out. Combined with off-peak electric heat storage, the power generation during the peak time by the LAES system can be significantly increased, and the economy of the LAES system can be effectively improved with the peak-valley electricity price difference, especially in areas where the price difference is obvious. The results will be beneficial for the application and promotion of the LAES technology.
DOI: 10.57760/sciencedb.03224
title: The original dataset of the thermodynamic and economic analysis of the coupled systems
title: The original dataset of the thermodynamic and economic analysis of the coupled systems

description: The original data set of the tri-generation system based on liquid air energy storage includes calculation files using Excel and source files based on process analysis. The original data set of coupled gas power plant system based on liquid air energy storage includes calculation files using Excel and source files based on process analysis.
description: The original data set of the tri-generation system based on liquid air energy storage includes calculation files using Excel and source files based on process analysis. The original data set of coupled gas power plant system based on liquid air energy storage includes calculation files using Excel and source files based on process analysis.
DOI: 10.57760/sciencedb.03230
title: 2021xuhao paper data
title: 2021xuhao论文数据

description: The file contains data from two papers related to cryogenic propellant cross-feed pipeline and one paper on VOC condensation recovery.
description: The file contains data from two papers related to cryogenic propellant cross-feed pipeline and one paper on VOC condensation recovery.
DOI: 10.57760/sciencedb.j00133.00147
title: Multimodal Dataset of Chinese Folk Songs
title: 中国民歌多模态数据集

description: The dataset contains the following three files: 民歌歌词及原始情感标签.xlsx: names, lyrics, original emotional words and other information of folk songs; 民歌音频.rar: audios of folk songs (. wav format);情感词释义.txt: Baidu Chinese interpretation text of general emotional lexicon and original emotional words. 
description: The dataset contains the following three files: 民歌歌词及原始情感标签.xlsx: names, lyrics, original emotional words and other information of folk songs; 民歌音频.rar: audios of folk songs (. wav format);情感词释义.txt: Baidu Chinese interpretation text of general emotional lexicon and original emotional words.
DOI: 10.57760/sciencedb.j00133.00148
title: Guangdong Hong Kong Macao Greater Bay Area Patent Application Data Set
title: 粤港澳大湾区专利申请数据集

description: The data set is the patent application data of Guangzhou, Foshan, Shenzhen and Dongguan from 2010 to 2020
description: The data set is the patent application data of Guangzhou, Foshan, Shenzhen and Dongguan from 2010 to 2020
DOI: 10.57760/sciencedb.03233
title: CO2 columns Using an Airborne Infrared Remote Sensing Spectrometer (Air-IRSS) in the North China Plain
title: 华北平原CO2柱浓度分布机载红外遥测结果

description: In 2016, we carried out the airborne measurement of CO2 distribution over the North China Plain, and obtained the CO2 columns along the flight trajactory.
description: In 2016, we carried out the airborne measurement of CO2 distribution over the North China Plain, and obtained the CO2 columns along the flight trajactory.
DOI: 10.57760/sciencedb.03234
title: measured spectrosopy of airport
title: 机场测量光谱

description: This data set is the measured spectrum of the sunshade flux of the airport pollution gas 
description: This data set is the measured spectrum of the sunshade flux of the airport pollution gas
DOI: 10.57760/sciencedb.03236
title: The carbon dioxide emission from a power plant
title: 电厂CO2排放遥测数据

description: The CO2 columns and emissions from a power plant in Huainan, were measured using near infrared spectral telemetry system.
description: The CO2 columns and emissions from a power plant in Huainan, were measured using near infrared spectral telemetry system.
DOI: 10.57760/sciencedb.03237
title: Emissions of Airport Monitoring with Solar Occultation Flux-Fourier Transform Infrared Spectromete
title: Emissions of Airport Monitoring with Solar Occultation Flux-Fourier Transform Infrared Spectromete

description: This data set is the gas measurement spectrum of the airport in different seasons and at different times 
description: This data set is the gas measurement spectrum of the airport in different seasons and at different times
DOI: 10.57760/sciencedb.03243
title: Interfacial Passivation for Perovskite Solar Cells: The Effects of the Functional Group in Phenethylammonium Iodide
title: Interfacial Passivation for Perovskite Solar Cells: The Effects of the Functional Group in Phenethylammonium Iodide

description: Defect passivation is an effective method to improve the performance of perovskite solar cells. In this study, four phenethylammonium iodides featuring different functional groups directly linking to the benzene ring are introduced on the surface of perovskite films ((FAPbI3)1–x(MAPbBr3–yCly)x) to investigate their passivation effects. It is found that the electron density of the benzene ring has significant influence on the interfacial passivation: phenethylammonium iodide with electron-donating groups (methoxyl and methyl) present favorable passivation effects, while the salt with electron-withdrawing group (nitro) delivers undesirable impacts. The passivation is attributed to the electrostatic interaction between the benzene ring and the undercoordinated Pb2+ ions. The salt-treated films are employed to fabricate solar cells, and an efficiency of 22.98% is achieved. In addition, the treated device shows good long-term stability for 1000 h of storage in a dark, ambient environment.
description: Defect passivation is an effective method to improve the performance of perovskite solar cells. In this study, four phenethylammonium iodides featuring different functional groups directly linking to the benzene ring are introduced on the surface of perovskite films ((FAPbI3)1–x(MAPbBr3–yCly)x) to investigate their passivation effects. It is found that the electron density of the benzene ring has significant influence on the interfacial passivation: phenethylammonium iodide with electron-donating groups (methoxyl and methyl) present favorable passivation effects, while the salt with electron-withdrawing group (nitro) delivers undesirable impacts. The passivation is attributed to the electrostatic interaction between the benzene ring and the undercoordinated Pb2+ ions. The salt-treated films are employed to fabricate solar cells, and an efficiency of 22.98% is achieved. In addition, the treated device shows good long-term stability for 1000 h of storage in a dark, ambient environment.
DOI: 10.57760/sciencedb.o00009.00256
title: TIMEGCM simulations of the September 2005 geomagnetic storm
title: TIMEGCM simulations of the September 2005 geomagnetic storm

description: TIMEGCM simulations of temperature and wind fields for September 2005 geomagnetic storms. The simulations with constant geomagnetic conditions as the driving conditions are stored in the folder named "ckp" and the simulations with real geomagnetic conditions as the driving conditions are stored in the file named "rkp".
description: TIMEGCM simulations of temperature and wind fields for September 2005 geomagnetic storms. The simulations with constant geomagnetic conditions as the driving conditions are stored in the folder named "ckp" and the simulations with real geomagnetic conditions as the driving conditions are stored in the file named "rkp".
DOI: 10.57760/sciencedb.03247
title: Mapping analysis of heavy metal elements in polluted soils using Laser Induced Breakdown Spectroscopy
title: Mapping analysis of heavy metal elements in polluted soils using Laser Induced Breakdown Spectroscopy

description: Laser-induced breakdown　spectroscopy(LIBS) has become a powerful technology　for quantitative analysis of the toxic heavy　metals in soils due to its excellent a attributes　of rapid analysis speed, simultaneous multi-element assay, and low-cost detection with slight sample preparation. In this work, LIBS was applied to analyze the spatial concentration distribution of toxic heavy metals in soils around a smelter. The spectral lines of copper, lead and chromium were used to directly analyzed the concentration distribution in soils around the smelter. The relevance between the spectral line intensities of Cr and the total concentrations detected by inductively coupled plasma optical emission spectrometry was poor. To improve the analysis accuracy, the calibration-free LIBS method combined with Saha equation was used. Compared with the preliminary analysis result of spectral line intensities, the concentration ratios of Cr/Si obtained from CF-LIBS showed a good correlation with the total concentrations. Then, the map of the spatial relative concentration distribution of Cr superposed on the aerial view of the locations was established. 
description: Laser-induced breakdown　spectroscopy(LIBS) has become a powerful technology　for quantitative analysis of the toxic heavy　metals in soils due to its excellent a attributes　of rapid analysis speed, simultaneous multi-element assay, and low-cost detection with slight sample preparation. In this work, LIBS was applied to analyze the spatial concentration distribution of toxic heavy metals in soils around a smelter. The spectral lines of copper, lead and chromium were used to directly analyzed the concentration distribution in soils around the smelter. The relevance between the spectral line intensities of Cr and the total concentrations detected by inductively coupled plasma optical emission spectrometry was poor. To improve the analysis accuracy, the calibration-free LIBS method combined with Saha equation was used. Compared with the preliminary analysis result of spectral line intensities, the concentration ratios of Cr/Si obtained from CF-LIBS showed a good correlation with the total concentrations. Then, the map of the spatial relative concentration distribution of Cr superposed on the aerial view of the locations was established.