Convolutional Neural Networks (CNN) have high performance in the fields of object recognition and classification. The strength of CNNs comes from the fact that they are able to extract information from raw-pixel content and learn features automatically. Feature extraction and classification algorithms can be either hand-crafted or Deep Learning (DL) based. DL detection approaches can be either two stages (region proposal approaches) detector or a single stage (non-region proposal approach) detector. Region proposal-based techniques include R-CNN, Fast RCNN, and Faster RCNN. Non-region proposal-based techniques include Single Shot Detector (SSD) and You Only Look Once (YOLO). We are going to compare the speed and accuracy of Faster RCNN,

Improving in assembling technology has provided machines of higher evaluation with better resistances and managed behavior. This machinery led to remarkably higher dynamic forces and therefore higher stresses. In this paper, a dynamic investigation of rectangular machine diesel and gas engines foundation at the top surface of one-layer dry sand with various states (i.e., loose, medium and dense) was carried out. The dynamic investigation is performed numerically by utilizing limited component programming, PLAXIS 3D. The soil is accepted as flexible totally plastic material submits to Mohr-Coulomb yield basis. A harmonic load is applied at the foundation with amplitude of 10 kPa at a frequency of (10, 15 and 20) HZ and se

This study investigated the structural behavior of a beam–slab member fabricated using a steel C-Purlins beam carrying a profile steel sheet slab covered by a dry board sheet filled with recycled aggregate concrete, called a CBPDS member. This concept was developed to reduce the cost and self-weight of the composite beam–slab system; it replaces the hot-rolled steel I-beam with a steel C-Purlins section, which is easier to fabricate and weighs less. For this purpose, six full-scale CBPDS specimens were tested under four-point static bending. This study investigated the effect of using double C-Purlins beams face-to-face as connected or separated sections and the effect of using concrete material that contains different recycled

Background: Leukemia is a cancer of blood cells which treated by different anticancer agents, Plants nowadays considered a new source for the development of new anticancer agent. Euphorbia Lathyris use in folklore to treat skin cancer. Objective Euphorbia lathyris seeds phytochemically investigated then examined its cytotoxic activity against leukemia cells. Materials and Methods: Euphorbia lathyris seed was extracted by maceration with different organic solvents (petroleum ether, chloroform and methanol), each organic extract submitted to phytochemical investigation and evaluated its cytotoxic activity on Leukemic blood with three different doses (50,100 and 150 µg mL¯1) and three different intervals. The data were evaluated by two-way a

Introduction:Visceral leishmaniasis (VL), also known as kala-azar, is a diffuse protozoan infection caused by Leishmania donovani complex. VL is principally caused by L. donovani and L. infantum (synonym L. chagasi in South America). The parasite targets the reticulo-endothelial system, with penetration of the spleen, liver, bone marrow and lymph nodes lead to organomegaly and pancytopenia. Organic pentavalent antimonials have been the first-line drugs for the therapy of leishmaniasis for the latest six decades, and clinical resistance to these drugs has emerged as a primary obstacle to successful treatment and control. Miltefosine has been shown to be higher or equivalent to presently approved essential medicines for at least one of viscer

               Microalgae have been used widely in bioremediation processes to degrade or adsorb toxic dyes. Here, we evaluated the decolorization efficiency of Chlorella vulgaris and Nostoc paludosum against two toxic dyes, crystal violet (CV) and malachite green (MG). Furthermore, the effect of CV and MG dyes on the metabolic profiling of the studied algae has been investigated. The data showed that C. vulgaris was most efficient in decolorization of CV and MG: the highest percentage of decolorization was 93.55% in case of MG, while CV decolorization percentage was 62.98%. N. paludosum decolorized MG dye by 77.6%, and the decolorization percentage of CV was 35.1%. Metabolic profiling of