Results 51 to 60 of about 13,794 (268)
Coping with viral diversity in HIV vaccine design. [PDF]
PLoS Computational Biology, 2007 The ability of human immunodeficiency virus type 1 (HIV-1) to develop high levels of genetic diversity, and thereby acquire mutations to escape immune pressures, contributes to the difficulties in producing a vaccine.
David C Nickle +8 more
doaj +1 more source
Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials
Advanced Engineering Materials, EarlyView.Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley +1 more source
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Advanced Engineering Materials, EarlyView.Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
Morphology, Transport, and Dynamics of Protein Adsorption in Open‐Cell Metal Foam
Advanced Engineering Materials, EarlyView.Stainless steel (SS) open‐cell foams are shown to adsorb more protein per unit area than previously reported 316L SS and chromium oxide surfaces under static and flow conditions. An integrated approach combining 3D pore imaging, flow simulation, and protein adsorption experiments characterizes the foam’s performance.
Chinmaya Prerana Inguva +2 more
wiley +1 more source
EconomiesThis paper develops a theory-first framework explaining how tariff policy reshapes participation and position in global value chains (GVCs). Building on the input–output price model and value-added trade accounting, we formalize the tariff cascade and ...
Hadi Zarea +4 more
doaj +1 more source
Image compression and encryption based on wavelet transform and chaos [PDF]
Компьютерная оптика, 2019 With the rapid development of network technology, more and more digital images are transmitted on the network, and gradually become one important means for people to access the information.
Haibo Gao , Wenjuan Zeng
doaj +1 more source
Supporting AI Readiness Through Digital Workflows in Materials Science
Advanced Engineering Materials, EarlyView.Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source
Canal à deux relais utilisant Compress-and-Forward [PDF]
, 2019 International audienceCe papier propose une étude d'un canal bi-directionnel où deux relais aident deux utilisateurs à échanger leurs données. Nous nous concentrons sur le cas où l'un des deux relais utilise le schéma Compress-and-Forward (CF) alors que ...
Savard, Anne, Clavier, Laurent
core +2 more sources
Generation of high-yield, azimuthally spin-polarized positron beams from relativistic electrons in cone–channel targets [PDF]
Matter and Radiation at ExtremesHigh-energy, high-yield structured spin-polarized positron beams have important applications in nuclear physics, high-energy physics, and information storage. However, their generation remains a significant challenge.
Yue Cao +8 more
doaj +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
Advanced Engineering Materials, EarlyView.High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source