Results 101 to 110 of about 162,558 (262)

In Vivo Monitoring of Thrombo‐Inflammatory Biomarkers via Molecularly Imprinted Polymer‐Integrated Hydrogel Microneedles

Advanced Materials, EarlyView.
A wearable electrochemical microneedle patch integrates Prussian Blue redox transduction with molecularly imprinted polymer recognition for reagent‐free sampling and detection of thrombo‐inflammatory biomarkers in dermal interstitial fluid. The platform tracks thrombin and inflammatory cytokines with sensitive in vitro, ex vivo, and in vivo performance,
Mahmoud Ayman Saleh, Peyman GhavamiNejad, Arash Khorrami Jahromi, Sanjana Srikant, Sripadh Guptha Yedire, Fatemeh Keyvani, Roozbeh Siavash Moakhar, Sajad Shiekh, Mackenzie Graham, Joe Quadrilatero, Mahla Poudineh, Sara Mahshid   +11 more
wiley   +1 more source

Effect of ambient air pollution and temperature on the risk of stillbirth: a distributed lag nonlinear time series analysis. [PDF]

J Environ Health Sci Eng, 2020
Ranjbaran M, Mohammadi R, Yaseri M, Kamari M, Habibelahi A, Yazdani K.   +5 more
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Existence of stationary distributions for a class of nonlinear time series models in random environment domain

Journal of Inequalities and Applications, 2011
In this paper, we study the problem of a variety of nonlinear time series model Xn+1 = F(Xn, en+1(Zn+1)) in which {Zn+1} is a Markov chain with finite state space, and for every state i of the Markov chain, {en(i)} is a sequence of independent and ...
Xu Yong, Wang Yueheng, Zhu Enwen
doaj  

Detecting nonlinearity in natural population time series with classical and proxy indicators

Ecological Indicators
Ecosystem dynamics are inherently nonlinear due to complex inter- and intraspecific interactions, which drive the complex population dynamics observed in nature.
Meng Gao, Yutong Yang, Haoyang Gao, Yueqi Wang   +3 more
doaj   +1 more source

The control mechanisms of heart rate dynamics in a new heart rate nonlinear time series model. [PDF]

Sci Rep, 2020
He Z.
europepmc   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Monolithic 3D‐Integrated All‐Solid Ion‐Gated Carbon Nanotube Transistors With Tunable Ionic Conductance for Multi‐Timescale Reservoir Computing

Advanced Materials, EarlyView.
A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung, Hanbin Cho, Yongwoo Lee, Seunghun Baek, Hyeongjun Kim, Yun Goo Ro, Hyunhyub Ko, Joonki Suh, Yong‐Young Noh, Jimin Kwon   +9 more
wiley   +1 more source

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

FORECAST EVALUATION OF THE EXCHANGE RATE USING ARTIFICIAL NEURAL NETWORKS AND ASYMMETRIC COST FUNCTIONS EVALUACIÓN DE PRONÓSTICOS DEL TIPO DE CAMBIO UTILIZANDO REDES NEURONALES Y FUNCIONES DE PÉRDIDA ASIMÉTRICAS

Revista Colombiana de Estadística, 2007
We compare forecasts obtained via linear vs. non linear specifications. The models are adjusted to the daily percentage change of the exchange rate and the comparison is done using both symmetric and asymmetric cost functions.
Jalil Munir Andrés, Misas Martha
doaj