In this study, the consequences of treatment with brake pad particles on kidney and spleen were evaluatedthrough microscopic anatomy sections for 60 male albino mice. The animals were divided into six groups, the first three groups (A,B,C) were exposed to brake pad particles depending on periods of exposure (4, 8, and 12weeks, respectively), while the other three groups were control groups,designated asF, which were exposed to laboratory fresh air only. A special locally-designed inhalation chamber was used to expose the animals. The exposure dose to brake pad particles (total suspended particles) was 2.228 µg/m³ for 30 min/day, 5 days/week,4, 8 and 12 weeks.The statistical analysis showed that the weights of organs for both kidney and spleen of treated mice had highly significant differences (P< 0.01) compared with control groups.The histological sections examination of the kidney, when compared with the control group, showed subcapsular tubular vascular degeneration and mild cortical focal hemorrhage in group A that was exposedto brake pads particlesfor 4 weeks. In group B, the exposure for 8 weeks resulted in cortical vascular degeneration, cortico-medullary vascular congestion, focal interstitial nephritis, and thickening of interstitial tissue.Other effects included marked dilation of collecting ducts with tubular vascular degeneration, necrosis, glomerular degeneration and deterioration, and cast formation. Group C, exposed for 12 weeks , showed similar changes of the kidney to those of group B. As related to spleen sections,they demonstrated mild subcapsular vascular degeneration of lymphocytes in group A,while the exposure in group Bresulted in moderate amyloid deposits with hemosiderosis, along withmild subcapsular vascular degeneration of lymphocyteswithin the red pulp. In group C, which was treated for 12 months, severe splenomegaly with advanced secondary splenic amyloidosis was also observed within the red pulp.It was characterized by marked deposited acellular and amorphous pinkish homogenous material within red pulp.The continuous exposure to brake pad particles causes harmful effectson the tissues ofessential body organs in human health.These particles should be thought-about as a sort of additional air pollutants in several cities of Iraqin the future.
Deep learning has recently received a lot of attention as a feasible solution to a variety of artificial intelligence difficulties. Convolutional neural networks (CNNs) outperform other deep learning architectures in the application of object identification and recognition when compared to other machine learning methods. Speech recognition, pattern analysis, and image identification, all benefit from deep neural networks. When performing image operations on noisy images, such as fog removal or low light enhancement, image processing methods such as filtering or image enhancement are required. The study shows the effect of using Multi-scale deep learning Context Aggregation Network CAN on Bilateral Filtering Approximation (BFA) for d
... Show MoreExperimental investigation for small horizontal portable wind turbine (SHPWT) of NACA-44, BP-44, and NACA-63, BP-63 profiles under laboratory conditions at different wind velocity range of (3.7-5.8 m/s) achieved in present work. Experimental data tabulated for 2, 3, 4, and 6- bladed rotor of both profiles within range of blade pitch angles . A mathematical model formulated and computer Code for MATLAB software developed. The least-squares regression is used to fit experimental data. As the majority of previous works have been presented for large scale wind turbines, the aims were to present the performance of (SHPWT) and also to make a comparisons between both profiles to conclude which is the best performance. The overall efficiency and el
... Show MoreIn every country in the world, there are a number of amputees who have been exposed to some accidents that led to the loss of their upper limbs. The aim of this study is to suggest a system for real-time classification of five classes of shoulder girdle motions for high-level upper limb amputees using a pattern recognition system. In the suggested system, the wavelet transform was utilized for feature extraction, and the extreme learning machine was used as a classifier. The system was tested on four intact-limbed subjects and one amputee, with eight channels involving five electromyography channels and three-axis accelerometer sensor. The study shows that the suggested pattern recognition system has the ability to classify the sho
... Show MoreDuring COVID-19, wearing a mask was globally mandated in various workplaces, departments, and offices. New deep learning convolutional neural network (CNN) based classifications were proposed to increase the validation accuracy of face mask detection. This work introduces a face mask model that is able to recognize whether a person is wearing mask or not. The proposed model has two stages to detect and recognize the face mask; at the first stage, the Haar cascade detector is used to detect the face, while at the second stage, the proposed CNN model is used as a classification model that is built from scratch. The experiment was applied on masked faces (MAFA) dataset with images of 160x160 pixels size and RGB color. The model achieve
... Show MoreIn this study, an experimental investigation had conducted for six high strength laced reinforced concrete one-way slabs to discover the behavior of laced structural members after being exposed to fire flame (high temperature). Self-compacted concrete (SCC) had used to achieve easy casting and high strength concrete. All the adopted specimens were identical in their compressive strength of ( , geometric layout 2000 750 150 mm and reinforcement specifics except those of lacing steel content, three ratios of laced steel reinforcement of (0.0021, 0.0040 and 0.0060) were adopted. Three specimens were fired with a steady state temperature of for two hours duration and then after the specimens were cooled suddenly by spraying water. The
... Show MoreThe search included a comparison between two etchands for etch CR-39 nuclear track detector, by the calculation of bulk etch rate (Vb) which is one of the track etching parameters, by two measuring methods (thichness and change mass). The first type, is the solution prepared from solving NaOH in Ethanol (NaOH/Ethanol) by varied normalities under temperature(55˚C)and etching time (30 min) then comparated with the second type the solution prepared from solving NaOH in water (NaOH/Water) by varied normalities with (70˚C) and etching time (60 min) . All detectors were irradiated with (5.48 Mev) α-Particles from an 241Am source in during (10 min). The results that Vb would increase with the increase of
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