Change in Arctic sea ice extent is one of the indicators of global climate changes. Spatio-temporal change and change patterns can be identified using various methods to facilitate human understanding global climate c...Change in Arctic sea ice extent is one of the indicators of global climate changes. Spatio-temporal change and change patterns can be identified using various methods to facilitate human understanding global climate changes. Three empirical orthogonal function(EOF) techniques are discussed and applied to decades of sea-ice concentration(SIC) dataset in Arctic area for identifying independent patterns. It was found that: 1) discrepancies exist in magnitude and scope for each EOF pattern, however, the first two leading EOFs of variability possess high similarities in structure and shape; 2) Even though there are somewhat differences in amplitude of each PC mode, the first two leading PC modes maintain consistent in overall trend and periodicity; 3) There are significant discrepancies and inconsistencies in the third and fourth leading EOF and PC modes. The accuracies of three techniques are further validated in representing the physical phenomena of SIC anomaly patterns.展开更多
Pancreatic cancer(PC)is a commonly malignant tumor with a 5-year survival rate of only 10%.1 Cuproptosis is a newly discovered cell death mechanism closely associated with the development of tumors.This study mainly a...Pancreatic cancer(PC)is a commonly malignant tumor with a 5-year survival rate of only 10%.1 Cuproptosis is a newly discovered cell death mechanism closely associated with the development of tumors.This study mainly aimed to investigate cuproptosis-related genes(CRGs)and found the marker genes to construct a prognostic model for PC patients.Meanwhile,we explored their roles in immune infiltration and their relationship with drug sensitivity.After comparing the expression patterns of ten CRGs,we found these genes were differently expressed between the tumor and normal tissues.Then we further performed functional enrichment analysis,cluster analysis,and immunoeinfiltration correlation analysis.展开更多
基金Project(41301420)supported by the National Natural Science Foundation of ChinaProject(12JJB005)supported by the Hunan Provincial Natural Science Foundation of China+1 种基金Project(2014VGE03)supported by the Key Lab of Virtual Geographic Environment from Ministry of Education,ChinaProject(LEND2013B04)supported by the NASA Key Laboratory of Land Environment and Disaster Monitoring,USA
文摘Change in Arctic sea ice extent is one of the indicators of global climate changes. Spatio-temporal change and change patterns can be identified using various methods to facilitate human understanding global climate changes. Three empirical orthogonal function(EOF) techniques are discussed and applied to decades of sea-ice concentration(SIC) dataset in Arctic area for identifying independent patterns. It was found that: 1) discrepancies exist in magnitude and scope for each EOF pattern, however, the first two leading EOFs of variability possess high similarities in structure and shape; 2) Even though there are somewhat differences in amplitude of each PC mode, the first two leading PC modes maintain consistent in overall trend and periodicity; 3) There are significant discrepancies and inconsistencies in the third and fourth leading EOF and PC modes. The accuracies of three techniques are further validated in representing the physical phenomena of SIC anomaly patterns.
基金the Ethics Committee of the Second Affiliated Hospital of Nanchang University(approval numbers:(2023)CDYFYYLK(05e023)).
文摘Pancreatic cancer(PC)is a commonly malignant tumor with a 5-year survival rate of only 10%.1 Cuproptosis is a newly discovered cell death mechanism closely associated with the development of tumors.This study mainly aimed to investigate cuproptosis-related genes(CRGs)and found the marker genes to construct a prognostic model for PC patients.Meanwhile,we explored their roles in immune infiltration and their relationship with drug sensitivity.After comparing the expression patterns of ten CRGs,we found these genes were differently expressed between the tumor and normal tissues.Then we further performed functional enrichment analysis,cluster analysis,and immunoeinfiltration correlation analysis.
