Writing in English is one of the essential factors for successful EFL learning .Iraqi students at the preparatory schools encounter problems when using their background knowledge in handling subskills of writing(Burhan,2013:164).Therefore, this study aims to investigate the 4thyear preparatory school students’ problems in English composition writing, and find solutions to these problems through a suggested schematic language learning strategy training approach dealing with writing problems .The researcher made a survey at eight preparatory schools of AL-Risafa (1) General Directorate of Education :(316) from the scientific branch (159 males &157 females) and (284) from the literary branch (145 males &139 females), in Baghdad, during the second term of the academic year 2014-2015.In this regard, a suitable questionnaire is designed and exposed to a jury of specialists in ELT. The results indicate that the subjects of the study,i.e.preparatory school students are poor in English composition writing due to poor teaching methods, students’lack interest in vocabulary, grammar knowledge ,cultural knowledge, and schema .Then, the study advocates that writing problems can be reduced to a minimum if students are taught by using schema .With this orientation, this study suggests a schematic language learning strategy training that enables students to overcome their writing problems by developing their linguistic schema, formal schema and content schema .Conclusions, recommendations ,and suggestions are made.
In this study, the first kind Bessel function was used to solve Kepler equation for an elliptical orbiting satellite. It is a classical method that gives a direct solution for calculation of the eccentric anomaly. It was solved for one period from (M=0-360)° with an eccentricity of (e=0-1) and the number of terms from (N=1-10). Also, the error in the representation of the first kind Bessel function was calculated. The results indicated that for eccentricity of (0.1-0.4) and (N = 1-10), the values of eccentric anomaly gave a good result as compared with the exact solution. Besides, the obtained eccentric anomaly values were unaffected by increasing the number of terms (N = 6-10) for eccentricities (0.8 and 0.9). The Bessel
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Feature selection (FS) constitutes a series of processes used to decide which relevant features/attributes to include and which irrelevant features to exclude for predictive modeling. It is a crucial task that aids machine learning classifiers in reducing error rates, computation time, overfitting, and improving classification accuracy. It has demonstrated its efficacy in myriads of domains, ranging from its use for text classification (TC), text mining, and image recognition. While there are many traditional FS methods, recent research efforts have been devoted to applying metaheuristic algorithms as FS techniques for the TC task. However, there are few literature reviews concerning TC. Therefore, a comprehensive overview was systematicall
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CD-nanosponges were prepared by crosslinking B-CD with diphenylcarbonate (DPC) using ultrasound assisted technique. 5-FU was incorporated with NS by freeze drying, and the phase solubility study, complexation efficiency (CE) entrapment efficiency were performed. Also, the particle morphology was studied using SEM and AFM. The in-vitro release of 5-FU from the prepared nanosponges was carried out in 0.1N HCl.
5-FU nanosponges particle size was in the nano size. The optimum formula showed a particle size of (405.46±30) nm, with a polydispersity index (PDI) (0.328±0.002) and a negative zeta potential (-18.75±1.8). Also the drug entrapment efficiency varied with the CD: DPC molar ratio from 15.6 % to 30%. The SEM an
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Cognitive mapping in humans is the process of coding, storing, and processing information that. Can be used in special behavior . Several scientific Domains interfere in the concept of cognitive maps including cognitive Psychology and environmental Psychology. Three papers at the start of the last century introduced the concept of cognitive maps , ( Gulliverʼs ,1908 ) brief note mentioned such maps in the context of teaching children orientation and there was a paper published by ( Hutorowicz , 1911 ) comprising an abridged translation of a monograph written by ( B .F .Adler ) o
... Show MoreDetecting and subtracting the Motion objects from backgrounds is one of the most important areas. The development of cameras and their widespread use in most areas of security, surveillance, and others made face this problem. The difficulty of this area is unstable in the classification of the pixels (foreground or background). This paper proposed a suggested background subtraction algorithm based on the histogram. The classification threshold is adaptively calculated according to many tests. The performance of the proposed algorithms was compared with state-of-the-art methods in complex dynamic scenes.