Results 111 to 120 of about 5,448,204 (257)
RCI is associated with functional suppression of oxytocinergic neurons in the PVN. Reduced PVNOXT neuronal activity contributes to altered sympathetic regulation involving the IML–sympathetic chain pathway, accompanied by changes in norepinephrine signaling at the BTI.
Liyang Wan +8 more
wiley +1 more source
Yarn-Dyed Fabric Defect Detection Based On Autocorrelation Function And GLCM
In this study, a new detection algorithm for yarn-dyed fabric defect based on autocorrelation function and grey level co-occurrence matrix (GLCM) is put forward.
Zhu Dandan +3 more
doaj +1 more source
Autocorrelation function of microcavity-emitting field in the linear regime
We study the photon statistics of the field emitted from a semiconductor microcavity containing a quantum well. We present an analytical expression of the autocorrelation function in non-resonant pumping.
H. Eleuch
core +1 more source
Improved Skills for Predicting Sub‐Seasonal to Seasonal Global Sea Surface Temperature
Addressing the critical Sub‐seasonal to Seasonal predictability gap, this study presents CAS‐Canglong, a novel deep learning framework. By leveraging 3D Swin‐Transformers to capture long‐range ocean interactions, the model demonstrates superior skill over traditional GCMs.
Longhao Wang +6 more
wiley +1 more source
Analysis of autocorrelation function of Boolean functions in Haar domain
Design of strong symmetric cipher systems requires that the underlying cryptographic Boolean function meet specific security requirements. Some of the required security criteria can be measured with the help of the autocorrelation function as a tool ...
Siddiqi, Mohammad Umar, Rafiq, Hashum M.
core
Autocorrelation function of velocity increments time series in fully developed turbulence
In fully developed turbulence, the velocity field possesses long-range correlations, denoted by a scaling power spectrum or structure functions. Here we consider the autocorrelation function of velocity increment $\Delta u_{\ell}(t)$ at separation ...
Lu, Zhiming +9 more
core +1 more source
Computing the Autocorrelation Function for the Autoregressive Process [PDF]
In this document, we explain how complex integration theory can be used to compute the autocorrelation function for the autoregressive process. In particular, we use the deformation invariance theorem, and Cauchy’s residue theorem to reduce the problem ...
Mohamed, Souleimane Cheikh Sidi +1 more
core +1 more source
We demonstrate a stochastic spiking neural network by integrating an α‐ln2Se3/h‐BN/CIPS FeFET synapse with an Au/CIPS/Au neuron. Unlike conventional memoryless stochastic neurons, the proposed neuron generates stochastic spikes through the evolution of internal ferroelectric polarization states, giving rise to intrinsic temporal correlations and ...
Hanseo Jeon +7 more
wiley +1 more source
Development and Study of Demodulation Techniques for Frequency Manipulated Signals
The goal of our research is development and study of different demodulation techniques for a frequency shift keyed signals. The signal under study is a frequency-shift keyed (FSK) signal when the information signal regulates the carrier frequency.
D. I. Kaplun +7 more
doaj
Enriched Soil Organic Carbon Underpins Long‐Term Stable Crop Productivity Across China's Croplands
Quantifying the nonlinear relationships and causal effects of soil organic carbon (SOC) on crop stability reveals specific critical thresholds and saturation points. This partitions the national SOC spectrum into three functional phases. Integrating these spatial delineations with high‐resolution maps of marginal gains pinpoints regions with the ...
Yuyang Huang +11 more
wiley +1 more source

