Chlorophyll a(Chl a)is a key photosynthetic pigment and an essential indicator of phytoplankton biomass.Accurate Chl a measurements are crucial for understanding marine biogeochemical processes.China launched the Chin...Chlorophyll a(Chl a)is a key photosynthetic pigment and an essential indicator of phytoplankton biomass.Accurate Chl a measurements are crucial for understanding marine biogeochemical processes.China launched the Chinese Ocean Color and Temperature Scanner(COCTS)aboard the HY-1D satellite in 2020,yet its Chl a products require further validation in complex coastal waters.This study assesses HY-1D Chl a products in the Bohai and Yellow Seas,two optically complex coastal regions,using in situ data collected during multiple cruises.Additionally,we compare HY-1D Chl a products with those from the Moderate Resolution Imaging Spectroradiometer(MODIS)and the Visible Infrared Imaging Radiometer Suite(VIIRS).We observed that although Chl a products from HY-1D are generally consistent with those from the MODIS and VIIRS in spatial distribution,there are still significant errors when compared with in situ data.Therefore,we developed a new blended algorithm to improve the accuracy of HY-1D Chl a products.The algorithm distinguishes between turbid and relatively clean waters using a classification index based on the ratio of remote sensing reflectance(R_(rs)(λ)).After the initial classification,we developed targeted algorithms based on the optical properties of different water bodies.The new model shows a significant improvement,reducing the mean absolute percentage error(MAPE)from 43.1%to 24.3%.Additionally,merging Chl a data from HY-1D,MODIS,and VIIRS maintains good accuracy,with HY-1D Chl a products significantly enhancing data coverage and robustness.This research provides important support for producing high-quality HY-1D Chl a products for coastal waters.展开更多
All-perovskite tandem solar cells have the potential to surpass the theoretical efficiency limit of single junction solar cells by reducing thermalization losses.However,the challenges encompass the oxidation of Sn^(2...All-perovskite tandem solar cells have the potential to surpass the theoretical efficiency limit of single junction solar cells by reducing thermalization losses.However,the challenges encompass the oxidation of Sn^(2+)to Sn^(4+)and uncontrolled crystallization kinetics in Sn-Pb perovskites,leading to nonradiative recombination and compositional heterogeneity to decrease photovoltaic efficiency and operational stability.Herein,we introduced an ionic liquid additive,1-ethyl-3-methylimidazolium iodide (EMIMI) into Sn-Pb perovskite precursor to form low-dimensional Sn-rich/pure-Sn perovskites at grain boundaries,which mitigates oxidation of Sn^(2+)to Sn^(4+)and regulates the film-forming dynamics of Sn/Pb-based perovskite films.The optimized single-junction Sn-Pb perovskite devices incorporating EMIMI achieved a high efficiency of 22.87%.Furthermore,combined with wide-bandgap perovskite sub-cells in tandem device,we demonstrate 2-terminal all-perovskite tandem solar cells with a power conversion efficiency of 28.34%,achieving improved operational stability.展开更多
BACKGROUND Depression is a disease with a significant global social burden.Single nucleotide polymorphisms(SNPs)are correlated with the development of depression.This study investigates the relationship between polymo...BACKGROUND Depression is a disease with a significant global social burden.Single nucleotide polymorphisms(SNPs)are correlated with the development of depression.This study investigates the relationship between polymorphisms in the GPHN and ATP6V1D gene promoter regions and susceptibility to depression in the Chinese population.AIM To provide new insights into identifying SNPs for predicting depression in the Chinese population.METHODS We conducted a case-control study involving 555 individuals with depression and 509 healthy controls.GPHN rs8020095 and ATP6V1D rs3759755,rs10144417,rs2031564,and rs8016024 in the promoter region were genotyped using nextgeneration sequencing.Dual luciferase reporter genes were employed to assess the transcriptional activity of promoter regions for each SNP genotype,with transcription factors binding to each site predicted using the JASPAR database.RESULTS Compared to healthy controls,the ATP6V1D promoter rs10144417 AG genotype (P = 0.015), rs3759755 AC/CC genotype (P = 0.036), and GPHN gene rs8020095 GA and AA genotypes (GA: P =0.028, GG: P = 0.025) were significantly associated with a lower prevalence of depression. Linked disequilibria werepresent in five SNPs, with the AGATA haplotype frequency in patients significantly lower than in healthy subjects(P = 0.023). Luciferase activity of the rs3759755-A recombinant plasmid was significantly higher than that of thers3759755-C recombinant plasmid (P = 0.026), and the rs8020095-A recombinant plasmid activity was significantlyhigher than that of the rs8020095-G recombinant plasmid (P = 0.001). Transcription factors orthodenticle homeobox2, orthodenticle homeobox 1, forkhead box L1, NK homeobox 3-1, and nuclear factor, interleukin 3 regulateddemonstrated binding affinity with rs3759755A > C and rs8020095A > G.CONCLUSIONThis study demonstrates that SNPs (rs3759755 and rs10144417) in the promoter region of the ATP6V1D and SNP(rs8020095) of GPHN are indeed associated with susceptibility to depression.展开更多
Subsurface rocks,as complex porous media,exhibit multiscale pore structures and intricate physical properties.Digital rock physics technology has become increasingly influential in the study of subsurface rock propert...Subsurface rocks,as complex porous media,exhibit multiscale pore structures and intricate physical properties.Digital rock physics technology has become increasingly influential in the study of subsurface rock properties.Given the multiscale characteristics of rock pore structures,direct three-dimensional imaging at sub-micrometer and nanometer scales is typically infeasible.This study introduces a method for reconstructing porous media using multidimensional data,which combines one-dimensional pore structure parameters with two-dimensional images to reconstruct three-dimensional models.The pore network model(PNM)is stochastically reconstructed using one-dimensional parameters,and a generative adversarial network(GAN)is utilized to equip the PNM with pore morphologies derived from two-dimensional images.The digital rocks generated by this method possess excellent controllability.Using Berea sandstone and Grosmont carbonate samples,we performed digital rock reconstructions based on PNM extracted by the maximum ball algorithm and compared them with stochastically reconstructed PNM.Pore structure parameters,permeability,and formation factors were calculated.The results show that the generated samples exhibit good consistency with real samples in terms of pore morphology,pore structure,and physical properties.Furthermore,our method effectively supplements the micropores not captured in CT images,demonstrating its potential in multiscale carbonate samples.Thus,the proposed reconstruction method is promising for advancing porous media property research.展开更多
基金The National Key Research and Development Program of China under contract No.2021YFB3901304the National Natural Science Foundation of China under contract No.42842176181,42476173,and 42176179the Natural Science Foundation of Jiangsu Province under contract No.BK20211289.
文摘Chlorophyll a(Chl a)is a key photosynthetic pigment and an essential indicator of phytoplankton biomass.Accurate Chl a measurements are crucial for understanding marine biogeochemical processes.China launched the Chinese Ocean Color and Temperature Scanner(COCTS)aboard the HY-1D satellite in 2020,yet its Chl a products require further validation in complex coastal waters.This study assesses HY-1D Chl a products in the Bohai and Yellow Seas,two optically complex coastal regions,using in situ data collected during multiple cruises.Additionally,we compare HY-1D Chl a products with those from the Moderate Resolution Imaging Spectroradiometer(MODIS)and the Visible Infrared Imaging Radiometer Suite(VIIRS).We observed that although Chl a products from HY-1D are generally consistent with those from the MODIS and VIIRS in spatial distribution,there are still significant errors when compared with in situ data.Therefore,we developed a new blended algorithm to improve the accuracy of HY-1D Chl a products.The algorithm distinguishes between turbid and relatively clean waters using a classification index based on the ratio of remote sensing reflectance(R_(rs)(λ)).After the initial classification,we developed targeted algorithms based on the optical properties of different water bodies.The new model shows a significant improvement,reducing the mean absolute percentage error(MAPE)from 43.1%to 24.3%.Additionally,merging Chl a data from HY-1D,MODIS,and VIIRS maintains good accuracy,with HY-1D Chl a products significantly enhancing data coverage and robustness.This research provides important support for producing high-quality HY-1D Chl a products for coastal waters.
基金National Key Research and Development Program of China (2022YFB420030)National Natural Science Foundation of China (2227903)+1 种基金Innovation Project of Optics Valley Laboratory (OVL2021BG008)Foundation of State Key Laboratory of New Textile Materials and Advanced Processing Technologies (FZ2021011)。
文摘All-perovskite tandem solar cells have the potential to surpass the theoretical efficiency limit of single junction solar cells by reducing thermalization losses.However,the challenges encompass the oxidation of Sn^(2+)to Sn^(4+)and uncontrolled crystallization kinetics in Sn-Pb perovskites,leading to nonradiative recombination and compositional heterogeneity to decrease photovoltaic efficiency and operational stability.Herein,we introduced an ionic liquid additive,1-ethyl-3-methylimidazolium iodide (EMIMI) into Sn-Pb perovskite precursor to form low-dimensional Sn-rich/pure-Sn perovskites at grain boundaries,which mitigates oxidation of Sn^(2+)to Sn^(4+)and regulates the film-forming dynamics of Sn/Pb-based perovskite films.The optimized single-junction Sn-Pb perovskite devices incorporating EMIMI achieved a high efficiency of 22.87%.Furthermore,combined with wide-bandgap perovskite sub-cells in tandem device,we demonstrate 2-terminal all-perovskite tandem solar cells with a power conversion efficiency of 28.34%,achieving improved operational stability.
基金Supported by the Natural Science Foundation of Sichuan,China,No.2022NSFSC0778Research Project Foundation of Sichuan Applied Psychology Research Center,No.CSXL-24202+1 种基金Foundation of Sichuan Clinical Research Center for Geriatrics,No.24LHLNYX1-04 and No.24LHLNYX1-06and the Key Laboratory Foundation for Development and Regeneration of Sichuan Province,No.24LHFYSZ1-25.
文摘BACKGROUND Depression is a disease with a significant global social burden.Single nucleotide polymorphisms(SNPs)are correlated with the development of depression.This study investigates the relationship between polymorphisms in the GPHN and ATP6V1D gene promoter regions and susceptibility to depression in the Chinese population.AIM To provide new insights into identifying SNPs for predicting depression in the Chinese population.METHODS We conducted a case-control study involving 555 individuals with depression and 509 healthy controls.GPHN rs8020095 and ATP6V1D rs3759755,rs10144417,rs2031564,and rs8016024 in the promoter region were genotyped using nextgeneration sequencing.Dual luciferase reporter genes were employed to assess the transcriptional activity of promoter regions for each SNP genotype,with transcription factors binding to each site predicted using the JASPAR database.RESULTS Compared to healthy controls,the ATP6V1D promoter rs10144417 AG genotype (P = 0.015), rs3759755 AC/CC genotype (P = 0.036), and GPHN gene rs8020095 GA and AA genotypes (GA: P =0.028, GG: P = 0.025) were significantly associated with a lower prevalence of depression. Linked disequilibria werepresent in five SNPs, with the AGATA haplotype frequency in patients significantly lower than in healthy subjects(P = 0.023). Luciferase activity of the rs3759755-A recombinant plasmid was significantly higher than that of thers3759755-C recombinant plasmid (P = 0.026), and the rs8020095-A recombinant plasmid activity was significantlyhigher than that of the rs8020095-G recombinant plasmid (P = 0.001). Transcription factors orthodenticle homeobox2, orthodenticle homeobox 1, forkhead box L1, NK homeobox 3-1, and nuclear factor, interleukin 3 regulateddemonstrated binding affinity with rs3759755A > C and rs8020095A > G.CONCLUSIONThis study demonstrates that SNPs (rs3759755 and rs10144417) in the promoter region of the ATP6V1D and SNP(rs8020095) of GPHN are indeed associated with susceptibility to depression.
基金supported by the Shandong Provincial Natural Science Foundation(ZR2024MD116)National Natural Science Foundation of China(Grant Nos.42174143,42004098)Technology Innovation Leading Program of Shaanxi(No.2024 ZC-YYDP-27).
文摘Subsurface rocks,as complex porous media,exhibit multiscale pore structures and intricate physical properties.Digital rock physics technology has become increasingly influential in the study of subsurface rock properties.Given the multiscale characteristics of rock pore structures,direct three-dimensional imaging at sub-micrometer and nanometer scales is typically infeasible.This study introduces a method for reconstructing porous media using multidimensional data,which combines one-dimensional pore structure parameters with two-dimensional images to reconstruct three-dimensional models.The pore network model(PNM)is stochastically reconstructed using one-dimensional parameters,and a generative adversarial network(GAN)is utilized to equip the PNM with pore morphologies derived from two-dimensional images.The digital rocks generated by this method possess excellent controllability.Using Berea sandstone and Grosmont carbonate samples,we performed digital rock reconstructions based on PNM extracted by the maximum ball algorithm and compared them with stochastically reconstructed PNM.Pore structure parameters,permeability,and formation factors were calculated.The results show that the generated samples exhibit good consistency with real samples in terms of pore morphology,pore structure,and physical properties.Furthermore,our method effectively supplements the micropores not captured in CT images,demonstrating its potential in multiscale carbonate samples.Thus,the proposed reconstruction method is promising for advancing porous media property research.
