Results 101 to 110 of about 174,041 (209)

Electro‐Stimulated Graphene‐Polymer Nanocomposites Enable Wearable Patches With Feedback‐Controlled Drug Release

Advanced Healthcare Materials, EarlyView.
xx xx. ABSTRACT Stimuli‐responsive nanomaterials capable of spatiotemporal control over drug release are of nanocomposite patch (“e‐Medi‐Patch”) engineered from biodegradable polycaprolactone (PCL), graphene nanoplatelets, and a redox‐active therapeutic, niclosamide. The hierarchical composite integrates π‐π interactions between aromatic drug molecules
Santosh K. Misra, Ketan Dighe, Pranay Saha, Teresa Aditya, Muhammad S. Khan, Maha Alafeef, Parikshit Moitra, Dipanjan Pan   +7 more
wiley   +1 more source

A study on energy consumption analysis and prediction of electric bus at intersections considering driving behavior. [PDF]

Sci Rep
Lyu A, Zhang H, Zhang Y, Li C, Chen Y.
europepmc   +1 more source

Purpose‐Adaptable Reinforced 3D Hyaluronic‐Acid Based Platform to Study Pathomechanisms of the Central Nervous System

Advanced Healthcare Materials, EarlyView.
Platform system to create biofabricated 3D spinal cord tissue models: Combining high resolution PCL fiber placement, a customized, hyaluronic acid‐based hydrogel, two cell types (spinal cord neurons and astrocytes) together with three distinct laminin isoforms allow the formation of functional cell–cell network interactions.
Nicoletta Murenu, Esra Tuerker, Anna‐Lena Wiessler, Jessica Faber, Ievgenii Liashenko, Jeanette Weigelt, Jörg Tessmar, Paul D. Dalton, Sibylle Jablonka, Mateo S. Andrade Mier, Carmen Villmann, Silvia Budday, Natascha Schaefer   +12 more
wiley   +1 more source

Sufficient is better than optimal for training neural networks. [PDF]

Nat Commun
Babayan I, Aliahmadi H, van Anders G.
europepmc   +1 more source

PiP‐Plex: A Particle‐in‐Particle System for Multiplexed Quantification of Proteins Secreted by Single Cells

Advanced Materials, EarlyView.
Detecting proteins secreted by a single cell while retaining its viability remains challenging. A particles‐in‐particle (PiPs) system made by co‐encapsulating barcoded microparticles (BMPs) with a single cell inside an alginate hydrogel particle is introduced.
Félix Lussier, Byeong‐Ui Moon, Mojra Janta‐Polczynski, Yonatan Morocz, Fabian Svahn, Molly Shen, Ljuboje Lukic, Lidija Malic, Teodor Veres, Andy Ng, David Juncker   +10 more
wiley   +1 more source

Women's experiences of breastfeeding during pregnancy: a Turkish descriptive study. [PDF]

BMC Pregnancy Childbirth
Bayraktar S, İnce Z, Yıldız N, Eski N, Çoban A.   +4 more
europepmc   +1 more source

Self‐Assembled Inorganic Nanomembrane Tubes: Rolled‐Up Piezoelectrics for Microacoustic Wave‐Based Actuators and Sensors

Advanced Materials, EarlyView.
This study demonstrates a self‐assembly process to generate free‐standing piezoelectric nanomembranes, forming ultracompact microtubular acoustic wave sensors and actuators. The miniaturized 3D piezoelectric platform reported in this work can be applied in telecommunication, energy harvesting, and acoustofluidics. Moreover, the 3D self‐assembly can add
Raphaël C. L‐M. Doineau, Christian N. Saggau, Stefan Baunack, Thomas Gemming, Yara Abdelaal, Robert Weser, Oliver G. Schmidt, Hagen Schmidt, Andreas Winkler, Mariana Medina‐Sánchez   +9 more
wiley   +1 more source

HTM-MDICE: a transformer-based model for predicting student engagement and ideological understanding in ethical education. [PDF]

Front Psychol
Qin C.
europepmc   +1 more source

Liquid Metal Microrobots for Magnetically Guided Transvascular Navigation

Advanced Materials, EarlyView.
Liquid metal‐based microrobots combine magnetic steering, intrinsic X‐ray visibility and softness, to navigate blood vessels even against flow. Under clinically relevant magnetic fields, liquid metal microrobots roll along vessel walls, cross endothelial barriers, and accumulate in target tissues.
Xiaohui Ju, Roshan Velluvakandy, Xianghua Wu, Miguel Angel Merlos Rodrigo, Zbyněk Heger, Kamila Bendíčková, Jan Frič, Martin Pumera   +7 more
wiley   +1 more source

A novel federated learning framework for medical imaging: Resource-efficient approach combining PCA with early stopping. [PDF]

Med Phys
Nanekaran NP, Ukwatta E.
europepmc   +1 more source