Opportunistic Spectrum Sharing using Dumb Basis Patterns: The Line-of-Sight Interference Scenario

We investigate a spectrum-sharing system with non-severely faded mutual interference links, where both the secondary-to-primary and primary-to-secondary channels have a Line-of-Sight (LoS) component. Based on a Rician model for the LoS channels, we show, analytically and numerically, that LoS interference hinders the achievable secondary user capacity. This is caused by the poor dynamic range of the interference channels fluctuations when a dominant LoS component exists. In order to improve the capacity of such system, we propose the usage of an Electronically Steerable Parasitic Array Radiator (ESPAR) antenna at the secondary terminals. An ESPAR antenna requires a single RF chain and has a reconfigurable radiation pattern that is controlled by assigning arbitrary weights to M orthonormal basis radiation patterns. By viewing these orthonormal patterns as multiple virtual dumb antennas, we randomly vary their weights over time creating artificial channel fluctuations that can perfectly eliminate the undesired impact of LoS interference. Because the proposed scheme uses a single RF chain, it is well suited for compact and low cost mobile terminals

Inheritance of Ten Characters in Barley Crosses

Inheritance of many characters in barley has been studied, and two or more genes have been located in each of the seven pairs of chromosomes. Studies of the mode of inheritance of these characters will aid plant breeders materially in working with plants of diverse genetic make-up. Hybridization followed by selection and testing can improve present varieties by replacing them with new ones having more desirable characters. Barley (Hordeum sp._ is one of the few species of plants widely distributed which is well adapted to genetical analysis. This plant has a lower number of chromosomes, complete self fertility, and a wealth of easily classifiable, hereditary characters. This study represents the data obtained in an investigation of ten characters in barley in the F2 and F3 generations. The nature of the inheritance, genes involved, and possible linkages have been determined

Effect of vincristine and vinblastine on mice spermatozoa in vitro

The aim of this project was to study the in vitro effect of antineoplastic drugs (vincristine and vinblastine) on mice spermatozoa. Eighteen adult (age 8-9 weeks) male mice were divided into three groups equally. The animals in each group were slain by cervical dislocation, the testes were removed and two tails of epididymides isolated. Spermatozoa were obtained from the two tails of epididymides by mincing in 500 µl TCM-199.The first group non-treated (unadded) as a control group, second group added 10 µg/ml of vincristine to TCM-199 and the third group added 10 µg/ml of vinblastine to TCM-199. After 10 minutes from added of vincristine and vinblastin measured the following test: spermatozoa activity, percentage dead spermatozoa and morphological abnormalities of spermatozoa. The obtained results indicated that vincristine and vainblastine showed significant reduction in activity, while increased in percentage of dead/live spermatozoa and morphological abnormalities of spermatozoa compared with the control group. Moreover, the data showed that vincristine and vinblastin had effect on spermatozoa in vitro

A proposed architecture of big educational data using hadoop at the University of Kufa

Nowadays, educational data have been increased rapidly because of the online services provided for both students and staff. University of Kufa (UoK) generates a massive amount of data annually due to the use of e-learning web-based systems, network servers, Windows applications, and Students Information System (SIS).  This data is wasted as traditional management software are not capable to analysis it. As a result, the Big Educational Data concept rises to help education sectors by providing new e-learning methods, allowing to meet individual demands and reach the learners' goals, and supporting the students and teacher’s interaction. This paper focuses on designing Big Data analysis architecture, based on the Hadoop in the UoK and the same case for other Iraqi universities. The impact of this work, help the students learn, emphasizing the need of academic researchers and data science specialist for learning and practicing Big Data analytics and support the analysis of the e-learning management system and set the first step toward developing data repository and data policy in UoK

Effect of Recharging Primary Treated Domestic Wastewater on the Soil Characteristics

A study was carried out to investigate the effects of recharging primary treated domestic wastewater on soil characteristics by special recharge-recovery method developed and practiced in the laboratory working model. Recently, the amounts of wastewater are sharply increasing and the kinds of pollutants are also varied as the world wide industry is being developed incessantly. The subbase soil is brought from Jerashi quarry, northeast of Ramadi and placed in model which is made from plexus glass with dimensions (1.1 m * 1.1 m * 0.6 m). Wastewater characteristics, main soil and soil samples after recharging of wastewater 330L, 420L, 510L, and 600L, for one time every seven days and comparing the means for soil chemical characteristics before and after experiment. Soil reaction (pH), electrical conductivity (EC), organic matter (OM), chloride ions (CL), sulphate content (SO3), gypsum content (GC), total dissolved salt, (TSS), and total dissolved solids (TDS). The soil-aquifer system (SAT) can be used efficiently as a wastewater treatment plant. After recharging wastewater, there were slightly increase of pH and OM in comparison with EC, CL, SO3, GC, TSS, and TDS which might cause problems in the long term if the land was used for construction purposes

Development Models of Artificial Neural Network and Multiple Linear Regression for Predicting Compression Index and Compression Ratio for Soil Compressibility of Ramadi City

Artificial neural networks (ANN) as new techniques employed for the development of predictive models to estimate the needed parameters in geotechnical engineering to be used for comparison with laboratory and field tests and consequently reduce the cost, time, and effort. Flexible computing techniques are using an alternative statistical tool to analyze and evaluate experimental data from 102 consolidation tests on a variety of undisturbed soils from Ramadi city. The regression equations are developed to estimate the compression index and the compression ratio from index data. Multi-Layer Perceptron (MLP) network model is used to calculate compression index and a compression ratio of soils and comparing with the multiple linear regression statistical model MLR. It is found that the MLP showed a higher performance than MLR in predicting Cc and Cr and model accuracy between 0.81 to 16 percent. This will provide a good method for minimizing the potential inconsistency of correlations