Abstract: Five muscarinic receptor genes ( m1 – m5 ) that encode distinct subtypes have been cloned. Because of their structural homology and pharmacological similarity, ligand binding probes currently available do not clearly distinguish among the subtypes. To obtain a clear distribution within CNS molecularly defined subtypes, seven brain regions were examined for expression respective mRNAs. The most sensitive method detecting mRNA is through amplification cDNAs. Brain obtained from male...

Eye and mouth state analysis is an important step in fatigue detection. An algorithm that analyzes the of eye by extracting contour features proposed. First, face area detected acquired image database. Then, eyes are located EyeMap through a clustering method to extract sclera-fitting calculate aspect ratio. In addition, effective proposed solve problem fitting when human affected strabismus. Meanwhile, value chromatism s defined RGB space, accurately lip segmentation. Based on color...

Fatigued driving detection in complex environments is a challenging problem. This paper proposes fatigued algorithm based on multi-index fusion and state recognition network, for further analysis of driver fatigue states. study uses multi-task cascade convolutional neural network face facial key point detection, corrects the according to points eye, intercepts binoculus image recognize eye state, mouth left right corner state. can improve accuracy driver's head tilt, deflection, so on. Next,...

Ship detection in synthetic aperture radar (SAR) images is widely applied marine monitoring. In recent years, convolutional neural networks (CNNs) have made significant advances SAR ship detection. However, the scene imbalance problem, i.e. much more offshore scenes than inshore images, severely hampers improvement of accuracy. this article, we propose scene-aware data augmentation to address problem. First, a novel concept, rate, introduced estimate land area percentage various images. We...

We introduce a Gaussian Mixture Model (GMM) constrained by Markov Random Field (MRF) framework for image compression in this paper. The is predicted using GMM with MRF and the parameters of are estimated an adjusted Expectation-Maximization (EM) algorithm. Optimization (MMO) used to select optimal number distributions avoid local optimum EM at same time. Parameters encoded fixed-length bits. A codebook improve coding efficiency covariance parameters. residual between original prediction High...

In this study, we propose a modeling-based compression approach for dense/lenslet light field images captured by Plenoptic 2.0 with square microlenses. This method employs the 5-D Epanechnikov Kernel (5-D EK) and its associated theories. Owing to limitations of modeling larger image block using Mixture Regression (EMR), Mixture-of-Experts Gaussian Initialization EMoE-GI) is proposed. outperforms GMR). The aspect our coding framework utilizes entire EI 5D Adaptive Model Selection AMLS)...

Wide-Field Small Aperture Telescopes (WFSAT) are widely used for surveilling space objects. Due to their wide-field of view (FOV) characteristics, these telescopes can cover a large areas the sky at once, improving observation efficiency. However, optical telescope is highly sensitive external stray light (such as moonlight and thin clouds), which significantly reduce quality data. In severe cases, it cause malfunction inaccurately position object. response this problem, paper proposes model...

A robust, asymmetric, multidepth, three-dimensional object encryption scheme based on a computer-generated Fresnel hologram in the cascaded fractional Fourier domain is proposed. layer-based transform used to generate hologram, which then decomposed into two phase-only masks with random phase distribution using matrix composition and decomposition methods. Encryption implemented by created domains, pair of private keys generated process. The cryptosystem asymmetric possesses high resistance...

Abstract A significant body of evidence exists that is consistent with the possibility heightened cholinergic activity in certain brain regions, such as hypothalamus, leads to increased sympathetic tone and subsequent hypertension. The increase mediated at least part through enhanced sensitivity muscarinic receptors. In this study, we used technique reverse transcriptase–polymerase chain reaction estimate relative levels mRNA encoding five known subtypes receptors within hypothalamus...

In this paper, we present an adaptive stereo video object segmentation algorithm based on depth and spatio-temporal information. First, the is extracted from left channel with a new algorithm, which consists of three steps: segmentation, change detection twice frame-difference, edge modification. Then, inverse matching operation proposed for extraction right according to in disparity map. Finally experimental results demonstrate that our successfully extracts moving objects various...

In augmented reality, the insertion of virtual objects into real scene needs to meet requirements visual consistency. The rendered by reality system should be consistent with illumination scene. However, for complex scenes, it is not enough just complete estimation. When there are transparent in scene, difference refractive index and roughness will influence effect fusion. To tackle this problem, paper proposes a new approach jointly estimate material inserting We solve parameters...

Abstract Vesamicol (AH 5183) inhibits the uptake of acetylcholine into cholinergic neuronal storage vesicles. Earlier in vitro studies have demonstrated that such inhibition can lead to a failure transmission, particularly peripheral tissues. The present study was designed determine whether vesamicol could inhibit central transmission conscious freely moving rats. Central (lateral cerebroventricular) injection 20 μg significantly reduced hypertensive and bradycardic response subsequent...

With the emergence of light field imaging in recent years, compression its elementary image array (EIA) has become a significant problem. Our coding framework includes modeling and reconstruction. For modeling, covariance-matrix form 4D Epanechnikov kernel (4D EK) correlated statistics were deduced to obtain 4-D mixture models (4-D EMMs). A regression EMR) was proposed based on this EK, adaptive model selection AMLS) algorithm designed realize optimal for pseudo video sequence (PVS)...

Novel view synthesis from existing inputs remains a research focus in computer vision. Predicting views becomes more challenging when only limited number of are available. This challenge is commonly referred to as the few-shot problem. Recently, various strategies have emerged for synthesis, such transfer learning, depth supervision, and regularization constraints. However, learning relies on massive scene data, supervision affected by input quality, causes increased computational costs or...