Results 121 to 130 of about 991,502 (283)
Here, the study shows for the first time that Forsythoside E (FE) can promote PKM2 tetramerization by binding to its K311 site. Furthermore, it induces metabolic reprogramming of macrophages and inhibits NLRP3 expression. Finally, it can alleviate sepsis‐induced liver injury by promoting M2 anti‐inflammatory polarization.
Bingxin Wu +8 more
wiley +1 more source
Database Systems - Present and Future [PDF]
The database systems have nowadays an increasingly important role in the knowledge-based society, in which computers have penetrated all fields of activity and the Internet tends to develop worldwide.
Ion LUNGU +2 more
core
The precise regulation of AP2M1 is essential for normal hematopoiesis. Overexpression of AP2M1 negatively affects the clinical outcomes of AML patients. Upregulation of AP2M1 enhances stemness and chemoresistance in HSPC cells of AML. AP2M1 modulates NOTCH1 expression, enhancing the Notch1 signaling pathway.
Hansong Lee +28 more
wiley +1 more source
Informaticology: combining Computer Science, Data Science, and Fiction Science
Motivated by an intention to remedy current complications with Dutch terminology concerning informatics, the term informaticology is positioned to denote an academic counterpart of informatics where informatics is conceived of as a container for a ...
Bergstra, Jan A.
core
Good intentions are not enough: how informatics interventions can worsen inequality
T. Veinot, Hannah Mitchell, J. Ancker
semanticscholar +1 more source
Nanoscopic Mapping of the Extracellular Space in Amyloid Plaque‐rich Cortex
The extracellular space and diffusion around amyloid plaques are examined using shadow imaging and single‐particle tracking. Increased diffusivity is found near plaques, extracellular matrix alterations, and plaque core penetrability that varies with amyloid phenotype.
Juan Estaún‐Panzano +11 more
wiley +1 more source
E-LEARNING STRATEGIES IN THE CONTEXT OF KNOWLEDGE SOCIETY [PDF]
Given the actual society, called often knowledge society, most organizations are experimenting with some form of computer-assisted instruction, in order to train their employees.
Anda VELICANU +2 more
core
This study demonstrates a machine learning framework that predicts the primary particle size of Lithium‐rich Nickel‐Cobalt‐Manganese (Li‐rich NCM) materials from synthesis conditions, even with incomplete literature data. By combining chemistry‐aware imputation with uncertainty‐quantified modeling, it identifies sintering temperature and time as ...
Benediktus Madika +6 more
wiley +1 more source
Unraveling Band‐Tail Effects on Temperature‐Dependent Emission in GaAsBi via Photoluminescence
An innovative dual‐spectroscopy approach resolves the debate over GaAsBi's emission temperature sensitivity. By combining temperature‐dependent photoluminescence and transmission spectroscopy, the method decouples the contributions of band‐tail states from the intrinsic band‐edge behavior.
Bing Yan +6 more
wiley +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
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 +4 more
wiley +1 more source

