Results 181 to 190 of about 2,169,107 (354)
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore+7 more
wiley +1 more source
Web server benchmarking using parallel WAN emulation [PDF]
Rob Simmonds+4 more
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This review discusses cellulose‐based hydrogels technology, analyzes their application progress in physiological signal monitoring, and explores the effects of pretreatment, crosslinking, and molding methods on gel performance, to provide valuable insights into the efficient utilization of plant fibers and the environmentally friendly development of ...
Zhiming Wang+8 more
wiley +1 more source
VADAR: a web server for quantitative evaluation of protein structure quality [PDF]
Leigh Willard
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It is demonstrated that severe lattice distortion and coherent nanoprecipitates overcome the strength–ductility dilemma and mitigate discontinuous plastic flow (DPF) at 4.2 K. Such microstructural design enhances both thermal and athermal stress components, leading to exceptional mechanical performance.
Min Young Sung+11 more
wiley +1 more source
Abstrak---VestaCP merupakan salah satu fasilitas yang banyak digunakan oleh jasa penyedia domain atau hosting dalam memudahkan penggunanya untuk mensetting sebuah website, dengan cPanel ini maka pengguna(mahasiswa) akan dimudahkan dalam mengatur ...
Arif Hidayat
doaj
SIRW: a web server for the Simple Indexing and Retrieval System that combines sequence motif searches with keyword searches [PDF]
Chenna Ramu
openalex +1 more source
Programmable Entanglement of Granular Mechanical Metamaterials
This paper introduces entangled granular metamaterials—clusters of complex grains whose interlocking drives emergent, tunable properties. Here, we identify geometric features that enable entanglement and quantify them via disentanglement dynamics. We demonstrate robotic handling where magnetically controlled grains achieve robust collective picking and
Ashkan Rezanejad+4 more
wiley +1 more source
An embedded Web server architecture for XML-based network management [PDF]
Hongtaek Ju+6 more
openalex +1 more source