Driver Distraction Identification with an Ensemble of Convolutional Neural Networks

The World Health Organization (WHO) reported 1.25 million deaths yearly due to road traffic accidents worldwide and the number has been continuously increasing over the last few years. Nearly fifth of these accidents are caused by distracted drivers. Existing work of distracted driver detection is concerned with a small set of distractions (mostly, cell phone usage). Unreliable ad-hoc methods are often used.In this paper, we present the first publicly available dataset for driver distraction identification with more distraction postures than existing alternatives. In addition, we propose a reliable deep learning-based solution that achieves a 90% accuracy. The system consists of a genetically-weighted ensemble of convolutional neural networks, we show that a weighted ensemble of classifiers using a genetic algorithm yields in a better classification confidence. We also study the effect of different visual elements in distraction detection by means of face and hand localizations, and skin segmentation. Finally, we present a thinned version of our ensemble that could achieve 84.64% classification accuracy and operate in a real-time environment.Comment: arXiv admin note: substantial text overlap with arXiv:1706.0949

Association of dopamine D4 receptor gene variants with autism

Background: Autism spectrum disorder (ASD) is a heritable neurodevelopmental disorder with poorly understood and complex etiology. The central dopaminergic system is strongly implicated in ASD pathogenesis. Genes encoding various elements of this system have been linked to ASD. This study aimed to estimate the distribution frequency of dopamine D4 receptor-exon III repeat region polymorphic genotypes among Egyptian children with autism.Methods: This case-control study included 178 children with autism (mean age 4.46±1.72 years) (118 males and 60 females) and a normal control group (n=128) of matching age and gender. Assessments by DSMIV- TR criteria, Stanford-Binet intelligence scale and childhood autism rating scale (CARS) were done. Assay for DRD4 48 bp VNTR genotypes was performed on amplified DNA by RFLP-PCR.Results: The 4/4 allele had the highest frequency among both autistic (39.32%) and control children (62.5%), with no significant difference between them. The 7/7 allele had also a high frequency (33.7%) among autistic patients, which was significantly different (p˂0.05) from the control group (12.5%) Furthermore, 70% of the patients carrying the 7/7 allele had the lowest IQ scores (58.5±6.5).Conclusions: There is a strong evidence that the DRD4 7/7 allele might be a risk factor for autism.

Peristaltic transport of Johnson-Segalman fluid under effect of a magnetic field

The peristaltic transport of Johnson-Segalman fluid by means of an infinite train of sinusoidal waves traveling along the walls of a two-dimensional flexible channel is investigated. The fluid is electrically conducted by a transverse magnetic field. A perturbation solution is obtained for the case in which amplitude ratio is small. Numerical results are reported for various values of the physical parameters of interest

A deep convolutional structure-based approach for accurate recognition of skin lesions in dermoscopy images

One-third of all cancer diagnoses worldwide are skin malignancies. One of the most common tumors, skin cancer can develop from a variety of dermatological conditions and is subdivided into different categories based on its textile, color, body, and other morphological characteristics. The most effective strategy to lower the mortality rate of melanoma is early identification because skin cancer incidence has been on the rise recently. In order to categorize dermoscopy images into the four diagnosis classifications of melanoma, benign, malignant, and human against machine (HAM) not melanoma, this research suggests a computer-aided diagnosis (CAD) system. Experimental results show that the suggested approach enabled 97.25% classification accuracy. In order to automate the identification of skin cancer and expedite the diagnosis process in order to save a life, the proposed technique offers a less complex and cutting-edge framework

Removal of Carcinogenic Hexavalent Chromium by Reduction with Iron in Presence of Accelerator Non Toxic Organic Compounds (Chalcone)

The focus of this work is on Cr, which has two predominant oxidation states of the atmosphere: + â€3, which is an essential nutrient in low doses, and +â€6, which is highly toxic and carcinogenic. We found that, the reduction of Cr6+ to Cr3+ was first order reaction and the rate controlling step is the diffusion of (Cr6+) from bulk to iron surface. Toxicity reduction method includes studding of 1-aryl-3-(1-phenylpyrazolo [3,4-b] quinoxalin-3-yl) -2-propenones derivatives or chalcone derivatives concentration, temperatures and rotation speeds effect, which exhibit a strong dependence and supported that the process is diffusion controlled. Thermodynamic parameter ΔG*, ΔH* and ΔS* are given. Mass transfer study of the process was correlated by the equation: Sh = 0.53Sc0.33Re0.38. The order of acceleration was confirmed by quantum calculations

The 103^{103}Rh NMR Spectroscopy and Relaxometry of the Rhodium Formate Paddlewheel Complex

The NMR spectroscopy of spin-1/2 nuclei with low gyromagnetic ratio is challenging, due to the low NMR signal strength. Methodology for the rapid acquisition of $^{103}$Rh NMR parameters is demonstrated for the case of the rhodium formate "paddlewheel" complex $\mathrm{Rh_2(HCO_2)_4}$. A scheme is described for enhancing the $^{103}$Rh signal strength by polarization transfer from $^{1}$H nuclei and which also greatly reduces the interference from ringing artifacts, a common hurdle for the direct observation of low-$\gamma$ nuclei. The $^{103}$Rh relaxation time constants $T_1$ and $T_2$ are measured within 20 minutes using $^{1}$H-detected experiments. The field-dependence of the $^{103}$Rh $T_1$ is measured. The high-field relaxation is dominated by the chemical shift anisotropy (CSA) mechanism. The $^{103}$Rh shielding anisotropy is found to be very large: $|\Delta\sigma|=9900\pm540\mathrm{\,ppm}$. This estimate is compared with density functional theory calculations.Comment: submitted to JC

Enhanced reactivity of pyridin-3-o1 towards 4-phenyl-l, 2, 4-triazoline-3, 5- dione: FMO treatment of the cycloaddition process

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