Results 231 to 240 of about 41,459 (288)
Micro Elastofluidics for Tuneable Droplet Merging
This technical paper provides a proof of concept of fully flexible and stretchable microfluidic technology for tuneable droplet mixing and merging. The phenomenon is justified through theoretical, numerical and experimental studies. ABSTRACT Droplet microfluidics enables precise handling of discrete fluid volumes at the microscale, with broad ...
Uditha Roshan +8 more
wiley +1 more source
L'essor des métiers du conseil : dynamiques et tensions
Sophie Divay, Jean-François Orianne
doaj
ENSO-modulated heat source and moisture sink of Asian monsoon and its impact on rice production. [PDF]
Sinha M, Jha S, Kumar A.
europepmc +1 more source
LESSOR DE ľHABITAT COLLECTIF DANS LES VILLES CANADIENNES
openaire +2 more sources
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi +3 more
wiley +1 more source
Feasibility of Recruitment, Perceived Genetic Risk and Susceptibility Beliefs, and Saliva Sample Collection in a Community-Based Prostate Cancer Genetic Risk Pilot Study. [PDF]
Boxtha C +8 more
europepmc +1 more source
An American Reflection on Turkey\u27s Financial Leasing Industry [PDF]
Felsenfeld, Carl
core +1 more source
Graphene‐Based Wearable Textile Triboelectric Nanogenerators and Biomechanical Sensors
This study presents a wearable textile‐based triboelectric nanogenerator (T‐TENG) using sprayed graphene enhanced with a PVA adhesion layer. The graphene‐based electrode demonstrates high electrical conductivity and robustness to multiple bends. The fabricated T‐TENG provides stable and efficient output, with strong responsiveness to biomotion.
Hongyang Dang +4 more
wiley +1 more source
A machine learning based framework for IoT devices identification using web traffic. [PDF]
Hussain S +4 more
europepmc +1 more source

