Results 171 to 180 of about 244,714 (312)
Ignacio Blanco,1 Isidro Diego,2 Patricia Bueno,3 Eloy Fernández,4 Francisco Casas-Maldonado,5 Cristina Esquinas,6 Joan B Soriano,7 Marc Miravitlles6 1Alpha1-Antitrypsin Deficiency Spanish Registry, Lung Foundation Breathe, Spanish Society of ...
Blanco I +7 more
doaj
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 +8 more
wiley +1 more source
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 +5 more
wiley +1 more source
Benchmarking Spatial Interpolation Methods for Long-Term Meteorological Exposure Assessment in China: Comparing Inverse Distance Weighting and Ordinary Kriging in Climate-Health Research. [PDF]
Zhang R +10 more
europepmc +1 more source
Additively Manufactured Porous Ceramics as Tunable Dielectrics for Passive Temperature Sensing
Porous ceramic lattices, 3D‐printed from a multicomponent oxide ink, are integrated with LC resonators for passive wireless temperature sensing. By tuning porosity, the dielectric properties and RF response are engineered to produce distinct resonant frequency shifts with temperature. The results establish a structure‐driven approach to customizing the
Sogol Heidarishahrivar +5 more
wiley +1 more source
Determination of dengue high-risk areas in the Philippines: a kernel density estimation, inverse distance weighting, and ecological niche modeling. [PDF]
Olana KOA +4 more
europepmc +1 more source
Additive Manufacturing of Ni‐Based Thermoelectric Materials for Waste Heat Recovery
Thermoelectric generators convert waste heat into electricity but are constrained by conventional fabrication. Here, laser powder bed fusion enables direct printing of customised n‐type Cu60Ni40 and p‐type Ni90Cr10 legs. The assembled module achieves 0.8% efficiency at ΔT = 419 K, demonstrating scalable additive manufacturing of eco‐friendly, design ...
Karolin Amstein +6 more
wiley +1 more source
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
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov +3 more
wiley +1 more source
BATTERY CAPACITY ESTIMATION WITH INVERSE DISTANCE WEIGHTING
openaire +1 more source

