Al-Bahir Journal for Engineering and Pure Sciences

Next generation wireless systems are characterized by very high transmission bit rates which gives rise to severe Intersymbol interference (ISI) and this makes the detection process very challenging. Hence, assessment of performance of near-optimal detectors like Near Maximum Likelihood Detectors (NMLD) over such channels assumes great importance. This paper deals with the detection of data in the presence of Noise and ISI with NMLD. Performance improvement of NMLD, as compared to nonlinear equalization, has been assessed in terms of BER versus SNR curves obtained through computer simulation. A number of different cases of mobile radio channels have been simulated in this work. In current world the lot of congestion leads severe fading and interference in the channel which may give the pause in data streaming and call drop in voice calling. These channels have different number of reflected paths with different power distribution in the respective paths. The aim of this paper is to take a ‘worst case’ model of a mobile radio channel in terms of rapidity of fading and ISI, and then to investigate the performance of detectors in the receivers.

ZnO has a resistivity of up to 104 U cm¡1 in most cases. Nevertheless, by increasing the layer thickness, the resistivity decreases as well, resulting in greater current transport. The dip coating system was developed to prepare the ultra-thin film, it relied on a controller, stepper motor and some low-cost recycled materials. Thin films of ZnO were successfully deposited on indium tin oxide substrates. The effects of the dipping cycles were investigated. Dipping processes were applied several times (1, 2, and 3) for the same concentrations (0.1) M to obtain homogeneous thin films. X-ray diffraction showed that the structure of ZnO is hexagonal Wurtzite. The crystals were in the nanoscale size range as (19.18, 24.76, and 31.29) nm. As for the examination by FESEM, it was found that homogeneous layers formed when increasing the number of times of coating for the prepared thin films. High transmittance, decreasing in energy gap, and suitable surface resistance ZnO thin films were achieved. In the wavelength range of 190e1100 nm, the thin films had an optical transmittance of up to 87%. The sheet resistance values were determined to be 19.202 U sq¡1 indicating that the characteristics of ZnO thin films have improved. The dip coating device is designed to be easy to use, inexpensive and economic in terms of using the raw materials. This low-cost manufactured device contributes to scientific development for researchers who are unable to buy expensive devices that perform the same purpose and give the same results.

Approximating function by using Spectral Graph Wavelets is an interesting direction in approximation theory. We essential to well choosing the space of functions that are approximated by Spectral Graph Wavelets. Lp spaces of functions are fantastic choices to study It is more interesting to take the value 0

In human culture, machine learning has long been used to address complicated issues. Machine learning is successful because of the help provided by computational power and sensing technology. Data-driven strategies and the development of artificial intelligence will soon have a significant impact on the industry. Common examples include search engines, picture recognition, biometrics, speech and handwriting recognition, natural language processing, as well as medical diagnostics and credit scores. It is obvious that when artificial intelligence permeates our globe and, more precisely, our lives, numerous challenges will become public. According to predictions, Industry 4.0 or Smart Manufacturing will be the next Industrial Revolution. It all has to do with technology connectivity and improvements in the contextualization of data, as with many other advancements in recent years. Smart, however, cannot be realised without either the support of intelligent systems or the support of data science technologies.

Breast cancer (BC) is a very varied disease, with several subtypes that exhibit different biological, molecular, and clinical characteristics. Standard information on tumor biology and clinicopathology can be identified by gene expression profile; have provided enhanced prognostic and predictive information. This study included 37 patients suffering from breast cancer and 15 healthy subjects. DNA has been extracted from all samples and then real-time PCR has been performed to analyze the genotyping of Rs1799853. The results showed higher frequency of CT genotype in the control subjects than the patients (73.3 and 43.2, respectively) and this difference was significant (0dd ¼ 0.28, p-value ¼ 0.038). The CC genotype showed a non-significant higher frequency in patients than in control (24.3 and 6.7, respectively. P-Value ¼ 0.247). The TT genotype also showed higher frequency in patients than in control (32.4 and 20, respectively. P-Value ¼ 0.506). In conclusion, the genotype CT of the SNP Rs1799853 for CYP2C9 gene may have a great defense role against the breast cancer.