Multi-objective liver cancer algorithm: A novel algorithm for solving engineering design problems. [PDF]
Kalita K +5 more
europepmc +1 more source
MiR‐513a promotes human erythroid differentiation by modulating c‐Jun
During early human erythropoiesis, miR‐513a promoted erythroid differentiation in primary human CD34+ hematopoietic stem‐progenitor cells and human TF‐1 erythroleukemic cells by indirectly decreasing c‐Jun and phospho‐c‐Jun expression, which are associated with increased GATA1 expression.
MinJung Kim +11 more
wiley +1 more source
The TrollLabs open hackathon dataset: Generative AI and large language models for prototyping in engineering design. [PDF]
Ege DN +6 more
europepmc +1 more source
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
Enhanced gorilla troops optimizer powered by marine predator algorithm: global optimization and engineering design. [PDF]
Hassan MH, Kamel S, Mohamed AW.
europepmc +1 more source
Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková +3 more
wiley +1 more source
A Review on Engineering Design for Enhancing Interfacial Contact in Solid-State Lithium-Sulfur Batteries. [PDF]
Qi B +6 more
europepmc +1 more source
A Multi-Objective Sine Cosine Algorithm Based on a Competitive Mechanism and Its Application in Engineering Design Problems. [PDF]
Liu N +5 more
europepmc +1 more source
Dynamic Random Walk and Dynamic Opposition Learning for Improving Aquila Optimizer: Solving Constrained Engineering Design Problems. [PDF]
Varshney M, Kumar P, Ali M, Gulzar Y.
europepmc +1 more source

