Results 201 to 210 of about 105,449 (311)

Advancing environmental sustainability research and policy in sport. [PDF]

Nat Commun
Zhang Y, Hao H, Ming YY, Zhang Y, Shi B.
europepmc   +1 more source

Shape Memory Microneedle to Prevent Risks of Reproductive Hormone Therapy by Switching Sustained to Burst Release Under a Single Transdermal Insertion

Advanced Functional Materials, EarlyView.
A shape‐memory microneedle system enables reproductive hormone therapy through a single transdermal insertion. The X‐shaped device sustains follicle‐stimulating hormone release for three days, and mild heating restores the O shape to trigger burst human chorionic gonadotropin release.
Sungwoo Cho, Hyunjae Kim, Seung Eun Yu, Sangmin Lee, Ji Youn Lee, Mi‐Lan Kang, Kang Suk Lee, Young Sik Choi, Hak‐Joon Sung   +8 more
wiley   +1 more source

Galaxy Evolution with Manifold Learning. [PDF]

Entropy (Basel)
Takeuchi TT, Cooray S, Kano RR.
europepmc   +1 more source

Shaping Matter with Acoustic Waves: From Particles to Functional Structures

Advanced Functional Materials, EarlyView.
Acoustic‐directed assembly is reviewed as a materials‐oriented strategy for organizing particles, polymers, metals, and biological systems into functional structures. The review distinguishes reversible manipulation from permanent structure formation through medium fixation, particle fixation, and in situ material generation, highlighting routes toward
Avraham Kenigsberg, Shelly Zlotnikov, Maya Fiorentino, Yuval Elias, Ornit Nagler‐Avramovitz, Hagay Shpaisman   +5 more
wiley   +1 more source

Benchmarking Multimodal Deep Fusion Strategies for Heterogeneous Neuroimaging and Cognitive Data Using a Controlled Sex Classification Task. [PDF]

Brain Sci
Camastra C, Pelagi A, Quattrone A, Sarica A.   +3 more
europepmc   +1 more source

Sustainable Electrochemical Synthesis of High‐Quality MXenes: Mechanistic Insights, Applications, Challenges, and Technological Prospects

Advanced Functional Materials, EarlyView.
Electrochemical etching provides an eco‐friendly alternative to hazardous HF methods for MXene production. This approach facilitates the selective isolation of the A‐layer from MAX phases with tunable surface terminations. Controlling voltage, electrolytes, temperature, and duration enables the optimal structural integrity. Nevertheless, existing scale
Jagdeep Singh, Madhusudhana M Devadiga, Santosh K. Tiwari, AS Dhaliwal, Gurpreet Singh Selopal   +4 more
wiley   +1 more source

Optimizing large-scale graph database ingestion through edge value ranking: a proposed framework. [PDF]

Front Big Data
Madduru PR, Thomas B.
europepmc   +1 more source

Microscopic Origin of Temperature‐Dependent Anisotropic Heat Transport in Ultrawide‐Bandgap Rutile GeO2

Advanced Functional Materials, EarlyView.
Rutile GeO2${\rm GeO}_{2}$ exhibits orientation‐dependent heat transport with temperature‐dependent anisotropy, showing higher cross‐plane thermal conductivity along [001] than along the equivalent in‐plane [100] and [010] directions. Temperature‐dependent TDTR measurements and first‐principles phonon calculations identify the microscopic phonon ...
Pouria Emtenani, Marta Loletti, Felix Nippert, Eduardo Bedê Barros, Zbigniew Galazka, Hans Tornatzky, Christian Thomsen, Juan Sebastián Reparaz, Riccardo Rurali, Markus R. Wagner   +9 more
wiley   +1 more source

Redirecting Nano‐Silicon Agglomeration: Dual‐Carbon Design Triggers Self‐Adaptive Nanoporous Si Sponge for Enhanced Lithium Storage

Advanced Functional Materials, EarlyView.
This study addresses silicon anode degradation using an engineered nSi/Gr/C dual‐carbon matrix. By restricting SEI infiltration, the architecture redirects silicon agglomeration into a beneficial structural self‐adaptive activation. During cycling, silicon nanoparticles self‐organize into a resilient nanoporous sponge. This dynamic network accommodates
Wei Zhang, Yuxia Zhong, Wen Ren, Lei Zhang, Yexin Pan, Mitch Guijun Li, Gary J. Cheng, Ruohan Yu   +7 more
wiley   +1 more source

Exploiting quantum chaos diagnostics in QAOA for enhanced hybrid quantum classical deep learning classification. [PDF]

Sci Rep
Villalba-Díez J, Losada-González JC.
europepmc   +1 more source