Results 161 to 170 of about 1,813,028 (298)

Gradient‐Conductivity Architecture Enables Synchronous Enhancement of Sensitivity and Detection Range in Multifunctional All‐Paper Sensors

Advanced Functional Materials, EarlyView.
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li, Jun Xu, Dezhong Xu, Zhaohui Zhang, Jiyi Li, Daxian Cao, Kefu Chen, Mizi Fan   +7 more
wiley   +1 more source

Change detection based on unsupervised sparse representation for fundus image pair. [PDF]

Sci Rep, 2022
Fu Y, Zhao X, Liang Y, Zhao T, Wang C, Zhang D.   +5 more
europepmc   +1 more source

Mechanical Programming of PEGDA‐β‐CD Polyrotaxane‐Based Hydrogels via Host–Guest Molecular Recognition

Advanced Functional Materials, EarlyView.
A mechanically programmable hydrogel for tissue engineering is developed by modulating the molecular threading density of poly(ethylene glycol) diacrylate‐β‐cyclodextrin (PEGDA‐β‐CD) polyrotaxane and combining it with β‐CD‐modified gelatin. The polyrotaxane‐guided transition from disordered pores to laminar microstructures enables precise tuning ...
Shiyi Chen, Xudan Xing, Haopu Su, Dominik Voll, Xiaohe Xu, Jiafeng Wan, Tongtong Cui, Christian W. Schmitt, Stefan Bräse, Peng Li, Patrick Théato   +10 more
wiley   +1 more source

Sparse representation learning derives biological features with explicit gene weights from the Allen Mouse Brain Atlas. [PDF]

PLoS One, 2023
Abbasi M, Sanderford CR, Raghu N, Pasha M, Bartelle BB.   +4 more
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

An object-based sparse representation model for spatiotemporal image fusion. [PDF]

Sci Rep, 2022
Asefpour Vakilian A, Saradjian MR.
europepmc   +1 more source

Unified Phase‐Field Framework for Antiferroelectric, Ferroelectric and Dielectric Phases: Application to HZO Thin Films

Advanced Functional Materials, EarlyView.
HfxZr1−xO2${\rm Hf}_x{\rm Zr}_{1-x}{\rm O}_2$ offers CMOS‐compatible nanoscale ferroelectricity yet suffers from a high Ec${\rm E}_c$ demanding large operating voltages. A unified phase‐field framework spanning AFE/FE/DE phases shows how FE grains soften neighboring AFE grains over λ$\lambda$ ≈$\approx$ 22–37 nm.
P. Pankaj, Sandeep Sugathan, Jiyoung Kim, Si Joon Kim, Pil‐Ryung Cha   +4 more
wiley   +1 more source

Elimination of pseudo-HFOs in iEEG using sparse representation and Random Forest classifier. [PDF]

Annu Int Conf IEEE Eng Med Biol Soc, 2022
Besheli BF, Sha Z, Henry T, Gavvala JR, Gurses C, Karamursel S, Ince NF.   +6 more
europepmc   +1 more source

Preferential Interfacial Engineering of Hydrogels via Interdigitated Nanoparticle Assembly

Advanced Functional Materials, EarlyView.
Robust surface functionalization of hydrogel surfaces is performed via interdigitated metal nanoparticle assembly, inducing strong affinity with the hydrogel matrix. The partially exposed nanoparticle domains act as interfacial nanobridges that mediate both chemical and physical bonding with diverse materials, including small molecules, fluorous ...
Hyeonjin Kim, Hyeseoung Lim, Ji Min Lee, Heeyeon Kang, Yongkwon Song, Woojae Chang, So‐Jin Park, Jin Yoo, Atsushi Hozumi, Jinhan Cho, Jongkuk Ko, Sanghyuk Wooh   +11 more
wiley   +1 more source

Multi-Modal Medical Image Fusion With Geometric Algebra Based Sparse Representation. [PDF]

Front Genet, 2022
Li Y, Fang N, Wang H, Wang R.
europepmc   +1 more source