Results 171 to 180 of about 7,566 (264)

Adaptive Cu Reconstruction in Heterostructure Drives High‐Rate Nitrate‐to‐Ammonia Conversion

Advanced Science, EarlyView.
An adaptively reconstructed Cu/CoOX heterojunction, featuring a surface‐localized, hydroxyl‐rich oxidized Cu species, forms in situ from a CuO/CoOX (Co1Cu9OX) pre‐catalyst during electrochemical nitrate reduction. The self‐adaptive reconstruction and the incorporation of heterostructure regulate nitrogen‐containing intermediate adsorption and *H supply,
Chunyu Yuan, Saikat Bolar, Yongzheng Zhang, Akitaka Ito, Tatsuhiko Ohto, Takeshi Fujita   +5 more
wiley   +1 more source

Bias Calibration for Semi-Supervised Continual Learning. [PDF]

Sensors (Basel)
Ji Z, Jiao Z, Miao D, Tang C.
europepmc   +1 more source

DDSurfer: A Weakly‐Supervised Dual‐Stream Deep Learning Framework for Cortical Surface Reconstruction From Diffusion MRI

Advanced Science, EarlyView.
DDSurfer reconstructs cortical surfaces directly from diffusion MRI without requiring T1‐weighted scans. By fusing complementary microstructural features and learning diffeomorphic deformations, it efficiently generates accurate white matter and pial surfaces, improving geometric fidelity and morphometric reliability across datasets for robust surface ...
Chengjin Li, Wei Zhang, Xi Zhu, Yuqian Chen, Nir A. Sochen, Jarrett Rushmore, Carl‐Fredrik Westin, Yogesh Rathi, Lauren J. O'Donnell, Ofer Pasternak, Fan Zhang   +10 more
wiley   +1 more source

Fully-Automated Insulin Delivery System. [PDF]

J Diabetes Sci Technol
Rashid MM, Quinn L, Cinar A.
europepmc   +1 more source

An Artificially Selected Cytokinin‐Pathway Transcription Factor Balances Soybean Yield and Pathogen Resistance

Advanced Science, EarlyView.
A cytokinin pathway transcription factor, RR2b, was artificially selected during soybean domestication and improvement based on its differential transcriptional activity, which correlates with ATT repeat polymorphisms in its promoter. RR2b balances yield and defense by fine‐tuning its expression level and offers a promising target for decoupling trade ...
Qun Ma, Yaqing Chen, Yiwen Gao, Xueting Hu, Qun Yang, Yucheng Liu, Peiyong Xin, Jijun Yan, Jinfang Chu, Lei Li, Zhixi Tian, Bo Ren   +11 more
wiley   +1 more source

Internet of Things-Based Energy Consumption-Aware Framework Design for Smart Grid Environment. [PDF]

Sensors (Basel)
Çolak MA, Bayılmış C.
europepmc   +1 more source

Gap‐Free Information Transfer in 4D‐STEM via Fusion of Complementary Scattering Channels

Advanced Science, EarlyView.
Fused Full‐Field STEM (FF‐STEM) is introduced as a 4D‐STEM imaging modality that combines direct ptychography with tilt‐corrected dark‐field reconstruction in a single acquisition. Fourier‐space fusion using Wiener‐type spectral weighting closes the low‐frequency contrast gap inherent to bright‐field methods, delivering gap‐free, dose‐efficient, near ...
Shengbo You, Georgios Varnavides, Sagar Khavnekar, Nikita Palatkin, Sihan Shao, Mingjian Wu, Daniel Stroppa, Darya Chernikova, Baixu Zhu, Ricardo Egoavil, Stefano Vespucci, Dileep Krishnan, Xingchen Ye, Florian K. M. Schur, Erdmann Spiecker, Philipp Pelz   +15 more
wiley   +1 more source

Adaptive resource aware and privacy preserving federated edge learning framework for real time internet of medical things applications. [PDF]

Sci Rep
Mahmood K, Khan S, Abdelhaq M, Hassan MU, Uddin M, Alsaqour R, Awan KA, Alsoufi MA.   +7 more
europepmc   +1 more source

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

Advanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais, S. Peng, J. Chang, F. Li, Q. Zhu, K. Yuan, G. Hugelius, H. Li, Y. Cai, F. Chevallier, K. Tibrewal, E. A. Kort, K. Arndt, J. Watts, B. Buma, N. Besic, P. I. Palmer, H. Cadillo‐Quiroz, E. Euskirchen, M. J. Gondwe, A. Hoyt, R. Jackson, S. Malone, D. Monteverde, S. Natali, M. Ramonet, C. Rey‐Sanchez, L. B. Sagang, E. A. G. Schuur, R. Vargas, R. Varner, Z. Zhang, B. Poulter   +32 more
wiley   +1 more source

From Flow to Function: Using Different Static Mixers to Fabricate Microarchitected Materials Via Chaotic Printing

Advanced Science, EarlyView.
Complex microarchitectures emerge from simple flow‐driven transformations as static mixers iteratively reorient and split material domains. Coupled with diverse deposition strategies, chaotic printing provides an accessible platform for fabricating architected materials that support biologically and chemically relevant processes. ABSTRACT Nature builds
Edna Johana Bolívar‐Monsalve, Carlos Fernando Ceballos‐González, Diego Alonso Quevedo‐Moreno, Irving Isaí Rendón‐Moreno, Ariel Cantoral‐Sánchez, Héctor Ambriz‐González, Mario Moisés Alvarez, Grissel Trujillo‐de Santiago   +7 more
wiley   +1 more source