Results 221 to 230 of about 5,971,608 (284)

Twin‐Lever Multifunctional Meta‐Optics With High Longitudinal Tolerance

Advanced Science, EarlyView.
We introduce a single‐layer, CMOS‐compatible metasurface that allows for polarization‐programmable, achromatic broadband dual‐mode imaging with high longitudinal tolerance. The twin‐lever design combines bright‐field focusing and vortex‐based edge‐enhanced imaging while managing axial intensity distribution from 488 to 633 nm.
Isma Javed, Kyungtae Kim, Aqib Raza Shah, Dohyun Kang, Joohoon Kim, Azhar Javed Satti, Xuefeng Liu, Muhammad Zubair, Jichuan Xiong, Muhammad Qasim Mehmood, Junsuk Rho   +10 more
wiley   +1 more source

Landscape Preferences and Leisure Constraints in Age-Friendly Community Parks. [PDF]

Ann N Y Acad Sci
Li Y, Du C, Li B.
europepmc   +1 more source

Tri‐Functional Electrocatalysis for Zinc–Air Battery Coupled Water Splitting: A Catalyst‐Electrode‐Device‐System Perspective

Advanced Science, EarlyView.
This review establishes a catalyst–electrode–device–system framework for tri‐functional HER/OER/ORR electrocatalysis that couples water splitting with Zn–air batteries. Five catalyst families are covered: noble‐metal, metal‐based, single‐atom, heterostructure, and metal‐free systems.
Xixi Di, Chao Duan, Shuzhen Li, Yiyang Che, Xiaoshuang Liu, Chuanyin Xiong, Mengxia Shen, Yichao Wang, Derek Hao, Yonghao Ni   +9 more
wiley   +1 more source

Clinical outcomes and perioperative safety of primary total knee arthroplasty for hemophilic arthropathy versus osteoarthritis: a retrospective cohort study. [PDF]

Arthroplasty
Ma R, Liu Q, Hu X, Sun H, Zhao J, Tong J, Su Z, Zhu C.   +7 more
europepmc   +1 more source

A Multi‐Scale Computational Framework for Evaluating Wireless Neuromodulation Feasibility via Magnetoelectric Nanoparticles

Advanced Science, EarlyView.
A multiscale computational framework links single‐nanoparticle magnetoelectric behavior to tissue‐level electric field distributions, integrating experimental data from nanoparticle characterization and in vitro stimulation setups. Applied to a cortical slice configuration, the framework predicts optimal MENP concentrations and stimulation parameters ...
Marta Bonato, Elric Zhang, Emma Chiaramello, Serena Fiocchi, Giulia Suarato, Valentin Gantenbein, Nathalia Cancino‐Fuentes, Alejandro Suarez‐Perez, Maria V. Sanchez‐Vives, Salvador Pané, Marta Parazzini   +10 more
wiley   +1 more source

Deep Learning-Based Intelligent Resource Management for Renewable Energy Engineering Projects. [PDF]

Ann N Y Acad Sci
Yao Y.
europepmc   +1 more source

Self‐Sustaining Sensing Systems: Integration Strategies and Signal–Power Matching in Energy‐Harvesting Electronics

Advanced Science, EarlyView.
Energy‐harvesting‐integrated sensors couple ambient energy conversion with sensing, processing, and wireless communication. This review organizes recent progress through integration architectures and operating principles, revisiting co‐packaged, monolithic, and co‐functional designs together with always‐on, event‐driven, and multi‐modal sensing modes ...
Taehyun Park, Ki‐Yoon Park, Yeonho Choi, Dong‐Myeong Shin, Hong‐Joon Yoon, Hocheon Yoo   +5 more
wiley   +1 more source

Experimental investigation and reliability-based optimization of the nut factor in bolted joints considering friction coefficient, surface roughness and material hardness. [PDF]

PLoS One
Tran VT, Nguyen HL.
europepmc   +1 more source

Designer Moiré Quantum Materials Enabled by Freestanding Oxide Membranes in Twisted and Hybrid Bilayers

Advanced Science, EarlyView.
Freestanding oxide membranes transform twistronics by enabling deterministic stacking, strain release, and integration with two‐dimensional materials. A unified framework links local atomic registry to structural reconstruction, polar textures, charge modulation, flat bands, and magnetic responses, while identifying the fabrication and characterization
Puneet Kaur, Rahul, Jan‐Chi Yang
wiley   +1 more source

Safe and adaptive control of non-stationary stochastic systems via Lyapunov-constrained distributional reinforcement learning. [PDF]

Sci Rep
Khaniki MAL, Mirzaee M, Moradi E.
europepmc   +1 more source