Results 141 to 150 of about 61,908 (264)

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

Effects of Hot Water and Plant Growth Regulator Treatments on Bud Germination and Pathogen Elimination in Citrus Scions. [PDF]

Plants (Basel)
Zhang Y, Sun L, Xiao J, Chen H, Li N, Li D, Dai S.   +6 more
europepmc   +1 more source

Redox‐Dependent Chaperoning of GBF1 Condensates Regulates Seed Germination in Arabidopsis

Advanced Science, EarlyView.
In dormant seeds (low ROS), GBF1 forms liquid condensates to repress the germination gene CathB3, and the chaperone GIP1 maintains condensate liquidity and repressive activity. Upon imbibition (high ROS), ROS oxidize GIP1 during germination, impairing its chaperone function.
Yunying Wang, Xiaofeng Fang
wiley   +1 more source

Inoculation with arbuscular mycorrhizal fungi can increase the concentration of per and poly-fluoroalkyl substances in cereal crops. [PDF]

Mycorrhiza
Watts-Williams SJ, Thomas S, Gill AR, Nguyen TD, Kabiri S.   +4 more
europepmc   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Transcriptome analysis reveals the mechanism and key role of CdPER47 in bermudagrass (Cynodon dactylon) adaptation to submergence and post-submergence stresses. [PDF]

BMC Plant Biol
Jia W, Hou S, Yang S, Zou Y, Dou W, Zhu K, Zhao C, Zou S, Liu H, Ai L, Wu S.   +10 more
europepmc   +1 more source

Auto‐Downregulation of the Florigen FT Production Prevents Precocious Flowering in Plants

Advanced Science, EarlyView.
This study shows that the leaf vein‐expressed FD complexes with the florigen FT to bind DNA motifs in FT promoter, which antagonizes CONSTANS‐mediated FT activation to feedback down‐regulate FT expression. This prevents an excessive induction of FT expression by inductive photoperiods, thereby precluding precocious transition to flowering in ...
Shu Tian, Xiao Luo, Bowen Cui, Yuehui He
wiley   +1 more source

Microbiome legacy influences necrosis formation in Diplodia sapinea-infected Scots pine shoots. [PDF]

Environ Microbiome
Knapp DG, Nagy A, Badalzadehe E, Molnár A, Kroon J, Romeralo C, Diez JJ, Witzell J.   +7 more
europepmc   +1 more source

Harnessing MDM2‐Mediated Targeted Degradation of Transcriptional and Epigenetic Machinery to Disrupt Oncogenic Addictions in Pediatric Sarcoma

Advanced Science, EarlyView.
MDM2 dependency in pediatric sarcomas is driven by a novel p53‐independent oncogenic cistrome alongside canonical p53 pathway suppression. This study introduces MDM2‐recruiting transcriptional and epigenetic machinery degraders (MDM2‐TEMADs) as a novel precision oncology modality.
Jiawei Zhou, Xian Guan, Nan Li, Ying Zhang, Long Xie, Xingze Huang, Zhipeng Zhu, Zhuolin Ren, Xiaoyan Yu, Hanjun Guo, Yuanfang Wu, Lin Ma, Suya Zheng, Jingyao Zhang, Jiyang Liu, Victor Kuanmin Lee, Wenhao Chen, H. Phillip Koeffler, Jinhu Wang, Xin Han, Ye Chen, Liang Xu   +21 more
wiley   +1 more source

Phenotypic Screening and Organ-Specific Transcriptomics Unveil Diverse Salt Tolerance Responses at the Seedling Stage in Wheat (<i>Triticum aestivum</i> L.). [PDF]

Plants (Basel)
Zhang W, Zou J, Wu Y, Hu N, Lv S, Liu X, Duan X, Li D, Li H, Liu J, Cao X, Ma W, Chen X, Gao X.   +13 more
europepmc   +1 more source