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Alzheimer's disease (AD) is a chronic neurodegenerative disease. The genetic risk factors of AD remain better understood. Using previously published dataset of common single nucleotide polymorphisms (SNPs), we studied the association between the minor allele content (MAC) in an individual and AD. We found that AD patients have higher average MAC values than matched controls. We identified a risk prediction model that could predict 2.19% of AD cases. We also identified 49 genes whose expression levels correlated with both MAC and AD. By pathway and process enrichment analyses, these genes were found in pathways or processes closely related to AD. Our study suggests that AD may be linked with too many genetic variations over a threshold. The method of correlations with both MAC and traits appears to be effective in high efficiency identification of target genes for complex traits. • The relationship between the minor allele content (MAC) and Alzheimer's disease was studied at the genome-wide level. • AD patients have higher average MAC values than matched controls in two independent datasets. • An optimal MA set has been obtained that can be used to predict 2.19% of AD cases. • A set of 49 target genes were identified using correlation of gene expression with both MAC and phenotypes. [ABSTRACT FROM AUTHOR]

Computer Vision-based English translation approaches pledge robots to master complicated functions. Conversely, the debate remains unanswered as to how to extend persuasion skills to real-world relationships. The stable operation of robots in English translation is an upcoming development in the educational field. The development of science and technology in the form of robots helps in computer vision technology for object detection and learning. In education, the usage of advanced technology is still facing challenges in English translation based on the computer vision of robots. In the article, researchers investigate robotic simulation, movement identification, and target tracking in computer vision, learning from one illustration of the third person's perspective. Researchers consider using a previous information basis like a text repository to deduce the feature to be dealt with as part of a robot to promote its generalization through object detection and learning. A Robot translation based on computer vision of English translation (RT-CV) framework is proposed in the research. Robots' word recognition, facial expression, speech, and movement are captured and based on computer vision; the translation is permitted with the basic functions. RT-CV is implemented in real-world applications with manipulative functions with generalized outcomes. The results are obtained as emotional interaction with robots' ratio is 87.6%, improving computer vision ratio is 88.7%, the Estimation of translating speed ratio is 84.5%, the efficiency of English translation ratio is 93.8%, and anxiety reduction through communication ratio is 82.2%. [ABSTRACT FROM AUTHOR]

• The PER-FMF designed with the combination of elliptical ring core and tow stress rods. • 10 polarization modes with Δn eff >2.83 × 10−4 at 1550 nm and Δn eff >1.91 × 10−4 over C + L band. • The mode intensity profile can be maintained and Δn eff >2 × 10−4 under the bending radius of 1.5 cm and 1 cm, respectively. • The PER-FMF has good fault-tolerant ability when the structure is not ideal. We present a new type of few-mode fiber which features an elliptical ring-core with two stress rods. This type of few-mode fiber can separate the adjacent modes from each other. By using the high refractive index difference of 0.03 between the core and cladding and the birefringence caused by stress rods and elliptical ring core, 10 modes can be obtained. And the minimal effective refractive index difference between adjacent modes can be measured as 2.83 × 10−4. The performance of its anti-bending test shows that this special structure can achieve low loss characteristic and maintaining its mode intensity profile under the bending radius of 1.5 cm. And the effective refractive index differences (Δn eff) are greater than 2 × 10−4 with the bending radius of 1 cm. It was measured to have good fault-tolerant ability under the condition of unsatisfactory structure. Finally, the simulation shows that the minimal Δn eff of this type few-mode fiber in the whole C + L band is greater than 1.91 × 10−4. This special fiber is targeted at applications in spatial division multiplexing of optical channels, without the need for multiple-input multiple-output (MIMO) signal processing. [ABSTRACT FROM AUTHOR]

Highlights: [•] Optical triangular-shaped pulse train with four time of driving frequency is generated. [•] It’s characterized by quadrupling RF modulation and dispersion-induced power fading. [•] Finite extinction ratio is considered and discussed. [Copyright &y& Elsevier]