Results 131 to 140 of about 773,014 (287)
Advanced Science, EarlyView.Water scarcity poses a critical threat to global food security. A low‐power, flexible electromagnetic actuator is presented for smart drip irrigation systems. The device achieves precise, wide‐range flow modulation (0.05–5.8 mL/min) in response to real‐time plant demands, reducing water consumption compared to conventional flood irrigation.
Duo Chen +7 more
wiley +1 more source
A Novel 10‐Protein Score for Liver Fat Content Predicts Cardiovascular‐Kidney‐Metabolic Disease Risk
Advanced Science, EarlyView.A novel 10‐protein plasma score precisely quantifies liver fat, outperforming the fatty liver index. It robustly predicts the risk of numerous cardiovascular‐kidney‐metabolic diseases and integrates with genetic data for precision prevention, offering a practical alternative to magnetic resonance imaging (MRI). Abstract Liver fat content (LFC) is a key
Xiaoqin Gan +12 more
wiley +1 more source
Advanced Science, EarlyView.Hybrid FRET–BRET biosensors were developed to monitor RAF–KRAS interactions in living cells. These sensors enable real‐time visualization of interaction dynamics, quantitative spectral analysis, and validation of mutation‐selective inhibitors, providing a versatile platform for probing KRAS regulation and therapeutic responses. ABSTRACT The RAS–RAF–MEK–
Jeong‐Min Go +12 more
wiley +1 more source
Cantor Type Attractors in Stochastic Growth Models. [PDF]
We study a one-sector stochastic optimal growth model where production is affected by a shock taking one of two values. Such exogenous shock may enter multiplicatively or additively.
Mitra, Tapan, Privileggi, Fabio
core
Strict monotonicity, strict convexity, and strict contractions in the semigroup theory
Journal of Mathematical Analysis and Applications, 1982 Devys, Christophe, Morel, Jean-Michel
openaire +1 more source
S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
Advanced Science, EarlyView.Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu +6 more
wiley +1 more source
Electronic Journal of Differential Equations, 2019 This article concerns a three-component delayed lattice dynamical system arising in competition models. In such models, traveling wave solutions serve an important tool to understand the competition mechanism, i.e.
Pei Gao, Shi Liang Wu
doaj
On the obstacle problem in fractional generalised Orlicz spaces
Mathematics in EngineeringWe consider the one and the two obstacles problems for the nonlocal nonlinear anisotropic $ g $-Laplacian $ \mathcal{L}_g^s $, with $ 0 < s < 1 $. We prove the strict T-monotonicity of $ \mathcal{L}_g^s $ and we obtain the Lewy-Stampacchia inequalities $
Catharine W. K. Lo +1 more
doaj +1 more source
A Wireless, Battery‐Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition
Advanced Science, EarlyView.In this work, Xu and co‐workers develop a wireless, battery‐free artificial throat patch system (ATPS) consisting of a carbon nanotube‐based thin‐film strain sensor and a miniaturized flexible printed circuit board, to enable real‐time sensing of throat signals.
Bingxin Xu +10 more
wiley +1 more source
MathematicsAccurate spatial interpolation of environmental data requires utilizing flexible models that can capture complex spatial patterns. In this paper, we present two improved dual kriging (DK) models comprising a nonlinear trend function that combines ...
Somlak Utudee +2 more
doaj +1 more source