Results 161 to 170 of about 671 (237)

Specific recruitment properties of spinal reflex of thigh muscle in sprinter. [PDF]

Sci Rep
Kakehata G, Nakagawa K, Kaneko N, Masugi Y, Iso S, Nakazawa K.   +5 more
europepmc   +1 more source

Cornus Mas L. Seed‐Derived Biosorbent for Methylene Blue Removal: Surface Characterization and Biosorption Performance

Advanced Materials Interfaces, EarlyView.
Cornus mas L. seeds are transformed into a high‐performance biosorbent through chemical modification, effectively removing methylene blue from aqueous solutions. Comprehensive characterization and optimization reveal a maximum biosorption capacity of 71.71 mg g−1, establishing this sustainable, cost‐effective material as a promising solution for ...
Hakan Yıldız, Adem Necip, Arslan Yusuf Yüksel   +2 more
wiley   +1 more source

Is allergic rhinitis associated with hidden hearing loss in pediatric/adolescent patients? A cross-sectional study. [PDF]

Front Pediatr
Gao S, Liu P, Li H.
europepmc   +1 more source

Thermal Radiation Emission From 3D Graphene Networks

Advanced Materials Interfaces, EarlyView.
Three‐dimensional graphene networks are demonstrated as exceptional broadband thermal emitters, exhibiting high‐intensity, spectrally homogeneous emission and strong mechanical flexibility compared to conventional emitters like silicon carbide.
Maria Chiara Paolozzi, Emanuele Scoppi, Jacopo Sera, Salvatore Macis, Antonio Grilli, Samuel Jeong, Yoshikazu Ito, Stefano Lupi   +7 more
wiley   +1 more source

Overcoming Printing and Interfacial Challenges in Liquid Metal Direct Writing for Integrated Stretchable Electronics

Advanced Materials Technologies, EarlyView.
Liquid metal direct writing is advanced from a technological and fundamental point. Utilizing a kinematic bed, printing on large surfaces with irregularities is enabled. Furthermore, a pressure‐driven flow during printing is discovered that affects the thickness of traces.
Maximilian Krack, Lennert Purnal, Parth Vinayakrao Sewlikar, Sam Cuyvers, Gus Geurts, Rathul Nengminza Sangma, Derese Desta, Dieter Reenaers, Bart Ruttens, Iris De Graeve, Tom Hauffman, Seppe Terryn, Bram Vanderborght, Michaël Daenen, Wim Deferme, Monika Rai   +15 more
wiley   +1 more source

Three-Electrode, 3D-Printed NMR Cells for Electrooxidation Studies. [PDF]

Anal Chem
Salout SA, Shupletsov L, Senkovska I, Khan AH, Kaskel S, Brunner E.   +5 more
europepmc   +1 more source

Smart and Sustainable Sizing: Investigating the Sensing Behavior of Glass Fabrics Coated With Waterborne Polyurethane/Graphene Dispersions

Advanced Materials Technologies, EarlyView.
Waterborne polyurethane/graphene formulations are developed as piezoresistive coatings on glass fabric to enable flexible strain sensing. The graphene‐enabled conductive network provides a stable electromechanical response under cyclic compression. The coating demonstrates reliable pressure‐dependent resistance changes, highlighting its potential for ...
Vishnu Vijayan Pillai, Premika Govindaraj, Sai Aditya Pradeep, Olivia Sequerth, Srikanth Pilla, Franz Konstantin Fuss, Peter Kingshott, Nishar Hameed, Nisa V Salim   +8 more
wiley   +1 more source

Validation of NB CE-Chirps in the Diagnosis of Superior Semicircular Canal Dehiscence Syndrome. [PDF]

Diagnostics (Basel)
Mat Q, Lelubre C, Maniaci A, Gargula S, Iannella G, Lechien JR, Tainmont S.   +6 more
europepmc   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source