The study was designed in the northwestern part of Karbala city for the purpose of knowing the efficiency of some plant species of trees and shrubs planted by the municipality of the city to contribute to the deposition of dust particles suffered by the city's environment, in particular, as well as its ability to accumulate heavy metals in dust or soil, and to consider the study model for application in different parts of Iraq. It was found that the plant species (Acacia , Eucalyptus , Clkonukiyrs and Dodenia) in the studied area that were given the symbols (A,B,C and D respectively). Used the method of calculating the leaf area index to calculate the amount of dust drawn by the stock plant, then chemical digestion dry and wet techniques spectroscope Flame atomic and spectroscope atomic Flame is to detect the level of metals (lead, Pb, cadmium Cd, Selenium, Se, chromium, Cr, cobalt, Co, As, iron Fe, zenc, Zn, and manganese Mn) accumulated in the leaves of each type of plant. It was recorded in the resent study four genera of plants ( Acacia , Alkonukiyrs , eucalyptus andDodenia) and given the symbols A, B, C and D , respectively), the results show the superiority leaves (B) in the deposition of particles of airborne dust where recorded 3168.50 and 1581.86 Mikgm/cm2 paper , followed by leaf (D) 1630, and 1562.06 Mikgm /cm2 and then leaves (C) 1254.82 and 1317.83 Mikgm / cm2 , followed by leaf (A) and recorded 581.25 and 1071.87 Mikgm/cm2 weight dry and wet respectively . As for the accumulation of heavy metals (lead , cadmium , selenium , chromium , cobalt , tin , iron , zinc , and manganese ), the results show that the plant (A ) had the highest capacity in the accumulation of most of the elements studied , followed by the plant (C) and plant (D ) and leaf (B). was the order of items cumulatively in plants follows : Fe > Se > Zn >Mn> Cu> As >Pb> Co > Cd > Cr, as recorded rates respectively ( 95.4 , 58.2 , 32.5 , 31.8 , 10 , 6.2 , 1.72 , 1.67 , 1.43 and 0.32 Mikgm /cm2
Photodetector based on Rutile and Anatase TiO2 nanostructures/n-Si Heterojunction
Abstract Background: Timely diagnosis of periodontal disease is crucial for restoring healthy periodontal tissue and improving patients’ prognosis. There is a growing interest in using salivary biomarkers as a noninvasive screening tool for periodontal disease. This study aimed to investigate the diagnostic efficacy of two salivary biomarkers, lactate dehydrogenase (LDH) and total protein, for periodontal disease by assessing their sensitivity in relation to clinical periodontal parameters. Furthermore, the study aimed to explore the impact of systemic disease, age, and sex on the accuracy of these biomarkers in the diagnosis of periodontal health. Materials and methods: A total of 145 participants were categorized into three groups based
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RA Ali, LK Abood, Int J Sci Res, 2017 - Cited by 2
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In this paper a new method is proposed to perform the N-Radon orthogonal frequency division multiplexing (OFDM), which are equivalent to 4-quadrature amplitude modulation (QAM), 16-QAM, 64-QAM, 256-QAM, ... etc. in spectral efficiency. This non conventional method is proposed in order to reduce the constellation energy and increase spectral efficiency. The proposed method gives a significant improvement in Bit Error Rate performance, and keeps bandwidth efficiency and spectrum shape as good as conventional Fast Fourier Transform based OFDM. The new structure was tested and compared with conventional OFDM for Additive White Gaussian Noise, flat, and multi-path selective fading channels. Simulation tests were generated for different channels
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The aim of this paper to find Bayes estimator under new loss function assemble between symmetric and asymmetric loss functions, namely, proposed entropy loss function, where this function that merge between entropy loss function and the squared Log error Loss function, which is quite asymmetric in nature. then comparison a the Bayes estimators of exponential distribution under the proposed function, whoever, loss functions ingredient for the proposed function the using a standard mean square error (MSE) and Bias quantity (Mbias), where the generation of the random data using the simulation for estimate exponential distribution parameters different sample sizes (n=10,50,100) and (N=1000), taking initial
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Semiconductor quantum dots (QDs) have attracted tremendous attentions for their unique characteristics for solid-state lighting and thin-film display applications. A simple chemical method was used to synthesis quantum dots (QDs) of zinc sulfide (ZnS) with low cost. The XRD) shows cubic phase of the prepared ZnS with an average particles size of (3-29) nm. In UV-Vis. spectra observed a large blue shift over 38 nm. The band gaps energy (Eg) was 3.8 eV and 3.37eV from the absorption and photoluminescence (PL) respectively which larger than the Eg for bulk. QDs-LED hybrid devices were fabricated using ITO/ PEDOT: PSS/ Poly-TPD/ ZnS-QDs/ with different electron transport layers and cathode of LiF/Al layers. The EL spectrum reveals a bro
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