Results 171 to 180 of about 494,381 (280)

Multi-parameter pendulum tuned particle damper for vibration suppression in offshore wind turbine towers. [PDF]

Sci Rep
Xiao W, Xie Z, Yao W, Mo F, Cai Z.
europepmc   +1 more source

Glider fleet-based, multi-parameter observations in the tropical Northeast Atlantic [PDF]

, 2011
Fiedler, Björn, Funk, Andreas, Kanzow, Torsten, Karstensen, Johannes, Krahmann, Gerd, Müller, Mario, Ohde, T.   +6 more
core  

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Cerebrovascular Function in Women With Polycystic Ovary Syndrome: A Pilot Multi-Parameter Magnetic Resonance Imaging Study. [PDF]

Clin Endocrinol (Oxf)
Wright ME, Richards CT, Davies S, Lord RN, Rees DA, Murphy K.   +5 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

End-Edge-Cloud Collaborative Monitoring System with an Intelligent Multi-Parameter Sensor for Impact Anomaly Detection in GIL Pipelines. [PDF]

Sensors (Basel)
Li Q, Zeng K, Zhou Y, Xie X, Tang G.
europepmc   +1 more source

Chemoselective Sequential Polymerization: An Approach Toward Mixed Plastic Waste Recycling

Advanced Functional Materials, EarlyView.
Inspired by biological protein metabolism, this study demonstrates the closed‐loop recycling of mixed synthetic polymers via ring‐closing depolymerization followed by a chemoselective sequential polymerizations process. The approach recovers pure polymers from mixed feedstocks, even in multilayer formats, highlighting a promising strategy to overcome a
Gadi Slor, Youwei Ma, Hyunwoo Park, Tae‐Lim Choi, Damien Guironnet, Francesco Stellacci   +5 more
wiley   +1 more source

A Patch and Attention Mechanism-Based Model for Multi-Parameter Prediction of Rabbit House Environmental Parameters. [PDF]

Animals (Basel)
Ji R, Wu G, Chang H, Liu Z, Wu Z.
europepmc   +1 more source

An All‐Optical Driven Bio‐Photovoltaic Interface for Active Control of Live Cells

Advanced Functional Materials, EarlyView.
Bio‐photovoltaic Interface (BIO‐PV‐I) for live cell manipulation is presented. BIO‐PV‐I can be activated non‐invasively and remotely to control the spatial motility, adhesion, and morphology of cells adhering to it. BIO‐PV‐I uses a patterned light‐induced electric potential in iron‐doped lithium niobate crystals whose light‐driven and reversible nature,
Lisa Miccio, Martina Mugnano, Valentina Marchesano, Alejandro Calabuig, Zhe Wang, Gennaro Giordano, Francesca Borrelli, Simonetta Grilli, Pietro Ferraro   +8 more
wiley   +1 more source

Multi-Parameter Modulation of Dirac Plasmons in Germanene via Doping and Strain: A DFT Insight. [PDF]

Materials (Basel)
Li P, Han L, Zhang L, Hui N.
europepmc   +1 more source