Results 61 to 70 of about 16,557 (196)

Artificial Intelligent‐Enhanced Metabolite Profiling for Intraoperative IDH1 Genotyping in Glioma Using an Orthogonally Responsive SERS Probe

open access: yesAdvanced Science, EarlyView.
This study presents a novel approach for intraoperative identification of the IDH1 genotype in glioma patients using a surface‐enhanced Raman scattering (SERS) probe to measure glutathione and hydrogen peroxide. By integrating AI‐driven deep learning algorithms, the method achieves rapid and accurate genotype differentiation, offering the potential to ...
Hang Yin   +14 more
wiley   +1 more source

Advancing Soil Organic Carbon Prediction: A Comprehensive Review of Technologies, AI, Process‐Based and Hybrid Modelling Approaches

open access: yesAdvanced Science, EarlyView.
This review highlights advances in soil organic carbon (SOC) quantification using remote sensing, proximal soil sensing, AI (ML and DL), and biogeochemical modelling. Integrating diverse data sources and models improves SOC prediction accuracy. Key priorities include enhancing data availability, refining models, incorporating microbial processes, and ...
Zijuan Ding   +16 more
wiley   +1 more source

Intestinal Clock Promotes Cognitive Memory Through Adenosine Signaling

open access: yesAdvanced Science, EarlyView.
The intestinal clock controls the expression of an adenosine enzyme that modulates systemic adenosine level and A1R signaling in the hippocampus, and in turn, cognitive function involving long‐term potentiation and BDNF‐dependent synaptic changes.
Min Chen   +13 more
wiley   +1 more source

SGCD: High‐Resolution Spatial Domain Characterization via Data Interpolation and Cell‐Type Deconvolution

open access: yesAdvanced Science, EarlyView.
SGCD presents a novel approach for tissue spatial domain identification by employing interpolation to estimate inter‐spot gene expression and deconvolution to resolve cell‐type composition in both sampled and interstitial regions. By integrating gene expression, cell type, and spatial coordinates within a graph contrastive learning framework, SGCD ...
Tianjiao Zhang   +7 more
wiley   +1 more source

Programmable DNA‐Based Molecular Neural Network Biocomputing Circuits for Solving Partial Differential Equations

open access: yesAdvanced Science, EarlyView.
This research introduces an augmented matrix‐based DNA molecular neural network to achieve molecular‐level solving of biological Brusselator PDEs. Crucial innovations include: (i) an augmented matrix‐based DNA molecular neural network, enabling multidimensional parameter integration through DNA strand displacement cascades and iterative weight ...
Yijun Xiao   +5 more
wiley   +1 more source

Machine‐Learning‐Assisted Understanding of Depth‐Dependent Thermal Conductivity in Lithium Niobate Induced by Point Defects

open access: yesAdvanced Electronic Materials, EarlyView.
Thermal conductivity, a fundamental property of lithium niobate, plays a pivotal role in determining its device performance. By integrating experiments with machine‐learning‐assisted simulations, this study demonstrates that oxygen vacancies induced by thermal reduction result in a pronounced suppression of thermal conductivity and a marked depth ...
Yunjia Bao   +7 more
wiley   +1 more source

Aqueous Zinc‐Based Batteries: Active Materials, Device Design, and Future Perspectives

open access: yesAdvanced Energy Materials, EarlyView.
This review conducts a comprehensive analysis of aqueous zinc‐based batteries (AZBs) based on their intrinsic mechanisms, including redox reactions, ion intercalation reactions, alloying reactions, electrochemical double‐layer reactions, and mixed mechanisms, systematically discussing recent advancements in each type of AZBs.
Yan Ran, Fang Dong, Shuhui Sun, Yong Lei
wiley   +1 more source

Toward Complete CO2 Electroconversion: Status, Challenges, and Perspectives

open access: yesAdvanced Energy Materials, EarlyView.
Electrocatalytic CO2 reduction and CO2 batteries face challenges in achieving complete CO2 conversion with high conversion rates and Faradaic efficiency simultaneously. Existing systems compromise one for the other with incomplete CO2 conversion and inefficiencies, hindering practical applications. This perspective highlights state‐of‐the‐art progress,
Changfan Xu   +5 more
wiley   +1 more source

Toward Understanding the Stability of Single‐Atom Catalysts in Oxygen Evolution Reactions

open access: yesAdvanced Energy Materials, EarlyView.
Enhancing the stability of single‐atom catalysts for the oxygen evolution reaction hinges on understanding support interactions, local geometry, and structural dynamics. Transitioning to OH‐modified surfaces offers a promising route to cap surface metals and prevent leaching, paving the way for the next generation of stable OER SACs.
Maxwell Tsipoaka, Ali A. Rownaghi
wiley   +1 more source

A Detailed Comprehensive Role of Digital Technologies in Green Finance Initiative for Net‐Zero Energy Transition

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
This study aims to provide actionable recommendations for leveraging digital innovation for the achievement of scalable, equitable, and transparent Net Zero Energy Transition by offering actionable recommendations. As a result of this comprehensive analysis, the review highlights the critical interplay between digital technologies and GF as vital ...
Furkan Ahmad   +3 more
wiley   +1 more source

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