Abstract

 In recent years, there has been much emphasis and motivation for teaching at schools of different levels to move from the traditional way of teaching “chalk and talk‟ to a more creative and innovative teaching methodology. In this paper, it has been defined the creative thinking and its hidden meaning, also it has explained the creativity as a process which has included four kinds (fluency, flexibility, originality, elaboration). Likewise, it has been mention some barriers that prevent the students of the creative thinking that has divided into three kinds of blocks (perceptual blocks, emotional blocks and cultural blocks). Furthermore, some stimulated strategies and techniques have been explainedd in order to enhance and support using creative thinking of young students. In addition , distinct types of media which have been involved in modern teaching techniques in order to create more creative thoughts which may be helpful in improving the creative thinking of young students. Moreover, some facts about how to prepare for the age of modern teaching technology have offered. Some remarkable examples: encourage students to use different computer programs, electronic mail, databases in their research or ask and answer of their varied questions. The importance of this paper has been embodied in the following: It gives opportunity to influence the personality of teachers to improve their traditional methods of teaching and it is an attempt to change the ministry of education’s policies relating to the current curriculum , in order to move forward more understanding and creative thinking of the information more than memorization.

Nowadays, the bulk of e-commerce is carried out in English. At the same time, however, the emergence and growth of Arab e-commerce has attracted attention from e-commerce giants, such as AliBaba and Amazon. Acquiring a deeper understanding of culture-specific advertising practices is thus quickly becoming necessary for digital advertisers and marketers seeking to tap into both English- and Arabic-speaking consumer markets. Despite this, little has been written on online advertising discourse within the particular contexts. To address this, the present study reports on a pragmatic two-level rhetorical analysis of the macro-structure of the sub-genre of online advertisements in English and Arabic and focuses on the identification of the persuasive linguistic features employed to signal constituent moves. Drawing upon Swales’ move-step model of rhetorical analysis, the exploration of a comparable corpus of 100 online advertisements of skin care products per language introduced new layers in the rhetorical organisation of [online] advertisements. The results revealed that English and Arabic advertisements consisted of both common and culture-specific rhetorical moves. The persuasive strategies employed common lexico-grammatical features at syntactic, semantic, and discoursal level, albeit to a different extent. Overall, the results of this study illustrate that online advertisements of skin care products could be considered as a particular sub-genre with context-specific macro- and micro-structures. Through the investigation of the specific datasets, this study expands upon the existing analytical frameworks used for the study of advertising discourse and adds to the intercultural exploration of the rhetorical structures and persuasive strategies used in online advertisements.

Thyroid function is impaired by diabetes, resulting into thyroid disorders, accompanied by the alteration of thyroid-stimulating hormone (TSH) and thyroxine (T4) levels. The aim of this study was to investigate the role of vitamin D supplementation on TSH and total T4 levels in serum of Libyan patients suffering from type 2 diabetes mellitus (T2DM) with thyroid disorders. A total of 180 subjects were recruited and distributed into two groups: 80 participants in control group (43 females and 37 males), with an age range of 26-72 years, and 100 participants in T2DM patient group (54 females and 46 males), with an age range of 26-63 years. Each T2DM patient received a monthly intramuscular injection of 200000 ng/ml vitamin D for three months. Glucose, vitamin D, total T4 and TSH levels were determined in serum samples of healthy subjects and of T2DM patients (pre- and post-administration of vitamin D). After the T2DM group received vitamin D supplementation, the mean of vitamin D level increased in the T2DM, while the mean of glucose level decreased. Most importantly, the mean of total T4 level for patients increased significantly (p ˂ 0.05) from 1.34 to 8.23 g/dL, both of which were lower than the control group mean 10.99 g/dL. In contrast, the mean of TSH level for patients decreased significantly (p ˂ 0.05) from 11.77 to 2.71 mU/L, and both values were greater than the control group mean 2.01 mU/L. ANOVA results showed that age, gender, and body mass index had no significant individual interactions (p > 0.05) with vitamin D supplementation on total T4 and TSH levels. Vitamin D supplementation had a beneficial role on total T4 and TSH levels in serum of Libyan T2DM patients with thyroid disorders.

Abstract: Earth velocity changes under many reasons. They cause variations in the length of daytime. These reasons are; interior changes, which usually occur during events that tend to speed up Earth’s rotation slightly but noticeably, and Outward changes, where material that was typically at one point at a higher elevation on Earth surface falls down to be at a lower point. The first reason may show in several figures like earthquake and condensing core of earth. On the other hand, tide, melting glacier poles, and changing weather they cause the other reason. The amount of time that increasing or decreasing in a day until now do not exceed few seconds, but on the massive scale of time as the age of earth it becomes important value. 

In this paper, a novel robust blind grayscale image digital watermarking scheme is introduced based on lifting wavelet transform (LWT) in combination with discrete cosine transform (DCT), Hessenberg decomposition, and entropy analysis for copyright protection of multimedia information. At first, the two levels of LWT are applied to the host grayscale image to improve the imperceptibility of the watermarking scheme and then the high-frequency sub-band of the 2-level of LWT is decomposed by DCT. Next, the DCT coefficients are divided into 4× 4 non-overlapping blocks. After that, Hessenberg decomposition performs on each selected block, whereas the first row, first column element of the upper Hessenberg matrix is utilized to hide the watermark. To evaluate the imperceptibility and robustness of the proposed digital watermarking scheme, the peak signal-to-noise ratio (PSNR), and normalized cross-correlation (NC) are utilized to measure the quality and the ability of the proposed watermarking scheme to robust against signal processing operations and geometric attacks. Experimental and analysis results have demonstrated that the proposed scheme is achieved a very good tradeoff between imperceptibility and robustness. The comparison with other scheme have shown that the proposed digital watermarking schemes have a superior performance in terms of imperceptibility and robustness than other

• Abstract: The aim of this study is to investigate some punctuation errors made by English majors at Faculty of Arts, Assab'ah, University of Gheryan. To reach to this goal, the researchers administered a test to a group of 12 students, 2 males and 10 females. The results revealed that the most common errors committed by the participants were: wrong capitalization, misuse of the comma, the inappropriate use of full stop, dropping question marks, and some problems in using hyphen and quotation marks. In the light of the study findings, the researchers suggests that teachers should emphasize the importance of all the punctuation marks in writing. Key words: punctuation, committed, Majors, errors.

Face recognition is a biometric technique that can be used for a variety of purposes, such as national security, access control, identity fraud, banking, and finding missing children. Faces are highly dynamic and facial features are not always easily extracted, which can lead to discarding textural information like the smoothness of faces, a hairstyle that, might contain strong identity information. In addition, brightness, scale, and facial expressions play a significant role in the face-recognizing process. Therefore, face recognition is considered as a difficult problem. To figure out this problem effective methods using databases techniques are needed. This paper describes face recognition methods and their structure. Based on Wen Yi Zhao and Rama Chellappa work the face recognition methods are divided into three groups: a holistic approach, feature-based approach, and hybrid approach, where Principal Component Analysis PCA, a holistic approach method, is presented as a mathematical technique that can assist the process of face recognition. Also, the paper shows how the PCA is used to extract facial features by removing the principal components of the available multidimensional data.

Face recognition is a biometric technique that can be used for a variety of purposes, such as national security, access control, identity fraud, banking, and finding missing children. Faces are highly dynamic and facial features are not always easily extracted, which can lead to discarding textural information like the smoothness of faces, a hairstyle that, might contain strong identity information. In addition, brightness, scale, and facial expressions play a significant role in the face-recognizing process. Therefore, face recognition is considered as a difficult problem. To figure out this problem effective methods using databases techniques are needed. This paper describes face recognition methods and their structure. Based on Wen Yi Zhao and Rama Chellappa work the face recognition methods are divided into three groups: a holistic approach, feature-based approach, and hybrid approach, where Principal Component Analysis PCA, a holistic approach method, is presented as a mathematical technique that can assist the process of face recognition. Also, the paper shows how the PCA is used to extract facial features by removing the principal components of the available multidimensional data.