Molecular Insights into the Crystallization of 4’-Hydroxyacetophenone from Water: Solute Aggregation, Liquid–Liquid Phase Separation, and Polymorph Selection by Carlos E. S. Bernardes (7183481)

“…As cooling progresses, they become more compact, a process accompanied by a reduction in water content, which is more significant as the solution concentration increases. …”

Bort/venetoclax promote synergistic cell death through inducing expression of apoptotic and DNA damage response markers as well as inhibitor of NF-κB but suppressed regulators for... by Kam Pui Tam (19746865)

Data Sheet 1_Statistics and behavior of clinically significant extra-pulmonary vein atrial fibrillation sources: machine-learning-enhanced electrographic flow mapping in persistent... by Peter Ruppersberg (22123543)

“…Notably, the majority of significant sources were not continuously active; however, when these sources switched “ON,” the spatial variability of AF cycle lengths in the respective atrium decreased by more than 50%, suggesting an entraining effect.…”

GO and KEGG analysis of DEPs. by Huiyang Jia (14444661)

Sociodemographic characteristics of the sample. by Senay Yildirim-Kahriman (22693464)

“…A moderate negative correlation was observed between CAM and CAM-MYCS scores (r = −0.511; p < 0.001), indicating that increased awareness of real causes is associated with decreased belief in myths. Regression analysis revealed that CAM scores were significantly predicted by academic year, being in the normal Body Mass Index (BMI) spectrum, and by having attended an oncology course (R² = 0.142; p < 0.001), whereas CAM-MYCS scores were predicted by academic year and high BMI values (R² = 0.072; p < 0.001). …”

Spatial patterns of developmental changes in nodal entropy using different statistical models. by Tianyuan Lei (19683861)

The model in which the PoFbx23 is required in activating PoAce1 to control the expression of target genes. by Zhongjiao Liu (11877464)

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LD decay plots for A, B, D and whole genome. by Fatima Henkrar (17346528)

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Manhattan and respective-QQ plots for agronomic traits in the 191-wheat association panel using BLINK. by Fatima Henkrar (17346528)

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Coordinates (correlations) of agronomic traits with the first five principal components from PCA. by Fatima Henkrar (17346528)

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Population structure analysis. by Fatima Henkrar (17346528)

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Data that underlies the TAP-MS of three Ace1-TAP samples. by Zhongjiao Liu (11877464)

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Data that underlies the ChIP-qPCR in this paper. by Zhongjiao Liu (11877464)

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The results of TAP-MS using transcription factor PoAce1 as bait. by Zhongjiao Liu (11877464)

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The top proteins interacting with PoAce1 identified through TAP-MS. by Zhongjiao Liu (11877464)

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Ubiquitination of PoAce1 and effect of proteasome inhibitor MG132 on PoAce1. by Zhongjiao Liu (11877464)

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The result of TAP-MS using PoAce1 as the bait. by Zhongjiao Liu (11877464)

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The interaction between PoFbx23A and PoAce1. by Zhongjiao Liu (11877464)

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Comparison of broad-sense heritability estimates across and within environments for agronomic traits. by Fatima Henkrar (17346528)

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Manhattan and respective-QQ plots for agronomic traits in the 191-wheat association panel using FarmCPU. by Fatima Henkrar (17346528)

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