Results 121 to 130 of about 30,034 (265)

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

open access: yesAdvanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung   +7 more
wiley   +1 more source

Single‐Cell Annotation and Localization via Integrating Spatial Transcriptomics Maps the Mouse Ocular Atlas and RAO Dynamics

open access: yesAdvanced Science, EarlyView.
We developed the ASCAL pipeline, integrating complementary spatial transcriptomics, to construct a high‐fidelity mouse whole‐eye single‐cell atlas. Applying ASCAL to a retinal artery occlusion (RAO) model revealed spatially restricted immune activation localized to the ganglion cell layer and the selective depletion of a translationally active, outer ...
Chen Du   +11 more
wiley   +1 more source

Electromagnetic Radiation Stimulated Learning in Perovskite Nickelates

open access: yesAdvanced Science, EarlyView.
ABSTRACT Biological plasticity refers to the ability of synapses to strengthen or weaken over time. These adaptive properties play a fundamental role in learning and memory, spanning many orders of magnitude in timescales. Short‐term plasticity (STP) arises from rapid correlative activity, while long‐term plasticity (LTP) is governed by slower ...
Ranjan Kumar Patel   +8 more
wiley   +1 more source

Circulating Amino Acid Network Remodeling Reveals Systemic Metabolic Reprogramming Predictive of Colorectal Cancer Recurrence and Metastasis

open access: yesAdvanced Science, EarlyView.
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee   +9 more
wiley   +1 more source

Efficient Concentration and Complete Destruction of Short‐Chain and Emerging PFAS in Contaminated Water via Integrated Interface Engineering‐Enhanced Carbon Felt Sorption and Photochemical Processes

open access: yesAdvanced Science, EarlyView.
A closed‐loop “Concentrate‐Destroy” strategy is presented for completely eliminating short‐chain and emerging PFAS, in which the new 3D PPy@P‐CF is used for efficiently concentrating PFAS and Cu2+‐mediated photodegradation is applied for the completely destroying PFAS in the sorbent regeneration eluent.
Hao Yu   +5 more
wiley   +1 more source

A Blood‐Derived Double‐Network Hydrogel with Robust Wet Adhesion for Keratinized Mucosa Regeneration via Neutrophil Phenotype Reprogramming and Mechanophysical Niche Modulation

open access: yesAdvanced Science, EarlyView.
The iPRF‐MA/Alg‐NHS/Lut@EGCG (PGAE) double‐network hydrogel achieves durable wet adhesion in the oral environment. It simultaneously reprograms neutrophils from NETosis to phagocytosis for biofilm clearance, and activates the FAK‐RhoA‐YAP mechanotransduction pathway in gingival fibroblasts to drive extracellular matrix remodeling, thereby promoting ...
Sicong Ren   +9 more
wiley   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

open access: yesAdvanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao   +4 more
wiley   +1 more source

Oscillation criteria for self-adjoint differential systems [PDF]

open access: yesTransactions of the American Mathematical Society, 1961
openaire   +2 more sources

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

open access: yesAdvanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai   +3 more
wiley   +1 more source

Notes on Some Oscillation Criteria

open access: yesBulletin of the Faculty of Science, Ibaraki University. Series A, Mathematics, 1968
openaire   +2 more sources

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