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In this paper, out-of-plane random vibration reliability of a ceramic column grid array (CCGA) package was tested in accordance with the ECSS-Q-70-08C standard. Microstructure observations revealed that there was no failure at the solder joints between Sn–Pb columns and the bond pads. However, random vibration life prediction based on traditional Miner’s rule showed that there would be failure in the critical corner solder joint. To properly evaluate the random vibration life of CCGA, an improved Miner’s rule was proposed, accounting for the cumulative damage. Based upon the improved Miner’s rule, the CCGA package could pass the random vibration test, which agreed well with the experimental results. Therefore, the improved Miner’s rule is much better suitable for practical CCGA random vibration life prediction than traditional Miner’s rule. [ABSTRACT FROM AUTHOR]

Also, there were no significant differences between patients with either 2-5% or 5-20% CPCs and those with >= 20% CPCs in PFS and OS ( I P i > 0.05). Compared to patients with < 2% CPCs, median PFS and OS of patients with 2-20% CPCs were 11.2 months (vs 18.8 months, I P i = 0.0001; Fig. [Extracted from the article]

Dear Editor, Leukoencephalopathy is a term given to any disorder that affects the white matter in the CNS [[1]]. On August 19, the brain MRI revealed patchy T2/fluid-attenuated inversion recovery (FLAIR) hyperintense signal in bilateral frontal and parietal white matter, centrum semiovale, and corona radiate (Fig. Whereas daratumumab-associated AEs involving CNS are relatively rare (e.g., only one case of progressive multifocal leukoencephalopathy reported thus far in the trials involving daratumumab) [[2]], DRL has been reported in at least three cases [[3]], showing DRL as a late AE after long-term use of daratumumab (Supplemental Table S1). [Extracted from the article]

Pulmonary arterial hypertension (PAH) is an insidious disease characterized by severe remodeling of the pulmonary vasculature caused in part by pathologic changes of endothelial cell functions. Although heterogeneity of endothelial cells across various vascular beds is well known, the diversity among endothelial cells in the healthy pulmonary vascular bed and the pathologic diversity among pulmonary arterial endothelial cells (PAEC) in PAH is unknown and previously unexplored. Here single-cell RNA sequencing technology was used to decipher the cellular heterogeneity among PAEC in the human pulmonary arteries isolated from explanted lungs from three patients with PAH undergoing lung transplantation and three healthy donor lungs not utilized for transplantation. Datasets of 36,368 PAH individual endothelial cells and 36,086 healthy cells were analyzed using the SeqGeq bioinformatics program. Total population differential gene expression analyses identified 629 differentially expressed genes between PAH and controls. Gene Ontology and Canonical Ingenuity analysis revealed pathways that are known to be involved in pathogenesis, as well as unique new pathways. At the individual cell level, dimensionality reduction followed by density based clustering revealed the presence of eight unique PAEC clusters that were typified by proliferative, angiogenic or quiescent phenotypes. While control and PAH harbored many similar subgroups of endothelial cells, PAH had greater proportions of angiogenic and proliferative subsets. These findings identify that only specific subgroups of PAH PAEC have gene expression different than healthy PAEC, and suggest these subpopulations lead to the pathologic functions leading to remodeling. [ABSTRACT FROM AUTHOR]

"All data associated with this study are available in the main text or the Supplementary materials." now reads: "All raw mRNA-seq data files are available on NCBI's Gene Expression Omnibus (GEO), accessible using the following link https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE185479." Correction to: I Scientific Reports i https://doi.org/10.1038/s41598-021-94163-y, published online 19 July 2021 The original version of this Article omitted an URL to all of the raw single-cell omics data in Data availability section. [Extracted from the article]