Results 191 to 200 of about 597,262 (308)
Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi+4 more
wiley +1 more source
Synthetic cells (SCs) hold great promise for biomedical applications, but manual production limits scalability. This study presents an automated method for large‐scale SC synthesis, integrating robotic liquid handling and machine learning‐driven high‐throughput characterization.
Noga Sharf‐Pauker+7 more
wiley +1 more source
A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann+5 more
wiley +1 more source
Nonlinearity and Domain Switching in a 3D‐Printed Architected Ferroelectric
By combining functional properties measurement with in situ 2D X‐ray microdiffraction experiments, it is shown that nonlinear polarization and strain responses of a 3D‐printed architected ferroelectric are driven by localized progression of domain switching, which depends on nonuniform electric‐field distribution as well as evolving stress fields.
Abhijit Pramanick+7 more
wiley +1 more source
The binary code similarity detection (BCSD) technique can quantitatively measure the differences between two given binaries and give matching results at predefined granularity (e.g., function), and has been widely used in multiple scenarios including ...
Peihua Zhang, Chenggang Wu, Zhe Wang
doaj
Machine Learning‐Guided Discovery of Factors Governing Deformation Twinning in Mg–Y Alloys
This study uses interpretable machine learning to identify key microstructural and processing parameters related to twinning in magnesium‐yttrium (Mg–Y) alloys. It is identified that using only grain size, grain orientation, and total applied strain, grains can be classified with 84% accuracy based on whether the grain contains a twin.
Peter Mastracco+8 more
wiley +1 more source
Source Code is a Graph, Not a Sequence: A Cross-Lingual Perspective on Code Clone Detection [PDF]
Mohammed Ataaur Rahaman, Julia Ive
openalex +1 more source
A novel technique for fabricating monolithic functionally graded NiTi shape memory alloy (SMA) laminated hybrid composite has been developed. An excellent metallurgical bonding can be established between two compositionally different NiTi SMAs through spark plasma sintering joining/diffusion bonding followed by hot roll bonding.
Soumya Sinha+2 more
wiley +1 more source
Assessing the Microstructure of SnBiZn Alloys during Semisolid Treatment
The development of Sn‐based alloys for semisolid processing is crucial for Industry 4.0. This study investigates Sn40Bi and Sn40Bi2Zn alloys, revealing that Zn refines Sn‐rich globules by pinning dendrite boundaries. Bi saturation occurs at 60 min, while Zn enhances globule microhardness at 90 min through solid solution strengthening.
Carolina de Siqueira Simioli+2 more
wiley +1 more source