Results 231 to 240 of about 523,232 (306)
This critical review presents a comprehensive roadmap for the precision 3D printing of cellulose. Quantitative correlations link ink formulation and rheological properties to print fidelity and final material performance. This framework guides the development of advanced functional materials, from biomedical scaffolds to electromagnetic shielding ...
Majed Amini +3 more
wiley +1 more source
Unseen contaminants in Portuguese reservoirs: linking microplastics to ecological potential and human pressures. [PDF]
Guimarães C +3 more
europepmc +1 more source
3D Printed Multimaterial Microfluidic Transistors
We introduce a biocompatible, high resolution photopolymer resin that closely mimics the Young's Modulus (elasticity) and reversible stretchability (no hysteresis) of poly(dimethylsiloxane) (PDMS), enabling the fabrication of microfluidic transistors (i.e., microvalves capable of proportional amplification) by multimaterial stereolithography (mSLA ...
Alireza Ahmadianyazdi +7 more
wiley +1 more source
Influence of environmental factors and tributaries on toxic cyanobacterial growth. [PDF]
Herrera N, Llano S, Peñuela G.
europepmc +1 more source
Water quality assessment for Duhok reservoir
openaire +2 more sources
An all‐in‐one microfluidic platform consists of two‐layered PDMS channels integrated with a hydrogel microwell array. This platform enables flow‐driven tumor cell capture, enhanced spheroid formation within the microwells, and advective drug testing. ABSTRACT Effective cancer drug screening requires platforms that replicate the physiological complexity
Omar M. Rahman +2 more
wiley +1 more source
Numerical simulation of hydrochemical evolution of deep pore thermal reservoirs in shallow groundwater recharge of Yancheng uplift. [PDF]
Mingkun Z +6 more
europepmc +1 more source
Characterization and evaluation of Fe<sup>2+</sup> and Mn<sup>2+</sup> in reservoirs and sediments in the Jianghuai Region. [PDF]
Wang K +7 more
europepmc +1 more source
Integrating optimization and machine learning for estimating water resistivity and saturation in shaley sand reservoirs. [PDF]
Hameedy MAE, Mabrouk WM, Metwally AM.
europepmc +1 more source

