Abstracts of research articles should be translated from Arabic into English before being submitted for publication in Libyan academic journals. Because English publishing allows non-native speakers to gain international recognition (Duszak & Lewkowicz, 2008). This study aimed to identify the most typical errors made while translating the Arabic abstracts into English. For this purpose, a corpus of 33 translated abstracts of research articles (RA) were analyzed. They were extracted from 11 issues of the Journal of Gharyan University and were published from 2016 to 2021. The analytical frameworks developed by Popescu (2013) and Laio (2010) were adopted. A preliminary analysis was carried out to develop a new category of translation errors that is appropriate for the current corpus. The results revealed a large number of errors in the translated abstracts. They were translation, stylistic, and linguistic errors. It is suggested that the Journal of Gharyan University should devote more effort to evaluating and polishing the translated abstracts before publishing the articles. If they wish to obtain a worldwide reputation, they should also include translators on the journal's editorial board to translate the Arabic abstracts into English appropriately. 

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A new robust blind image watermarking method based on lifting wavelet transform (LWT), and Schur decomposition in combination with discrete cosine transform (DCT), and entropy analysis for copyright protection of multimedia information is introduced in this paper. At first, the 2-level LWT is applied to the original image to improve the invisibility of the watermarking method and then the high-frequency sub-band of 2-level LWT is decomposed by DCT. Then, the DCT coefficients are divided into 4×4 non-overlapping blocks. After that, Schur decomposition applies to each selected block, while the first row, the first column element of the upper triangular matrix is used to embed the watermark. For evaluation, the invisibility and robustness of the proposed watermarking method, the peak signal to noise ratio (PSNR), and normalized cross-correlation (NC) are used to measure the quality and the ability of the proposed watermarking method to be robust against signal processing operations and geometric attacks. Experimental results have demonstrated that the proposed method is achieved a very good tradeoff between invisibility and robustness. The comparisons with other scheme have shown that the proposed digital watermarking scheme has a superior performance in terms of invisibility than other. 

The goal of this study was to investigate the vegetation composition and structure of the Al-Orban area in Gharyan district, Libya over two continues growing seasons from the first of January 2020 to the first of Jaunary 2022. During this period, a total of 309 plant species were identified and collected in the field. These species belonged to 43 families, with 39 families of dicotyledons and 4 families of monocotyledons. The most dominant family was Asteraceae with 60 species, followed by Fabaceae with 32 species, Poaceae with 33 species, and Brassicaceae with 35 species. The most dominant genera were Plantago and Euphorbia, each represented by 6 species, followed by Erodium and Chenopodiun with 5 species each, and Astragalus, Centaurea, Rumex, Concolvulus, and Stipa each represented by 4 species. Life-form spectrum analysis indicated that Therophytes were the most predominant with 189 species, followed by Hemicryptophytes with 47 species, and geophytes with 40 species. Furthermore, chorotype spectrum analysis showed the dominance of Mediterranean species with 128 species, followed by Mediterranean/Iranian-Turanian with 66 species. These findings provide valuable insight into the plant diversity and distribution in the Al-Orban area of Gharyan district, Libya.

Abstract

The research was conducted to discuss the impact of storytelling and theater in building a remarkable personality and moral values in children. Furthermore, it has been mentioned the importance of preschool period and educated family to help of building the child’s personality and cultivating moral values. In addition, this research has been mentioned that in Libya there is not separation between moral education, strong personality and religion, which has been gotten all his values from second language and it has been explained and clarified the character development.

Moreover, it has been discussed two main headlines, ‘the storytelling and the child’s early age’ and ‘the role of storytelling and theater to create a creative and strong personality.

 Besides, some tricks and plays techniques have been mentioned to enhance the creativity and remarkable personality among children, (pretend play / language play /musical play and play drawing and writing).

Finally, some advices and recommendations have been given to the parents and teachers in order to guide them to the appropriate ways to establish the child’s personality and moral values. 

Engineering education has a crucial role in the economic and social development of society; this paper aims to investigate the most significant factors that contributing in improving the quality of the engineering education. Furthermore, identify the factors affecting the students’ academic performance. The study was conducted by using statistical Design of Experiments (DOE) approach to investigate the main effects of lecture delivery, assessment, engagement, communication, and interaction with instructors. Minitab software is implemented to perform statistical analysis to identify the significance of each factor, and degree by which each factor influences the students’ academic achievement. Results showed that the students’ academic performance is affected by the availability of course materials, and communications with instructors.

This paper addresses a bi-criteria optimization problem to minimize total flow time and makespan simultaneously for a cellular flowshop with Sequence Dependent Setup Times (FMCSP with SDSTs); A multi-objective Particle Swarm Optimization (MPSO) and a Multi-objective Simulated Annealing (MOSA) Algorithm are proposed to solve the proposed problem. furthermore, an improved algorithm (named as IMPSO-TA), where MPSO is combined with Threshold Acceptance (TA) algorithm to improve the convergence of the obtained Pareto Fronts. The proposed algorithms are evaluated using several Quality Indicators (QI) measures for multi-objective optimization problems. Results showed that proposed algorithms can generate approximated Pareto Fronts in a reasonable CPU time. Furthermore, quality of Pareto fronts generated by IMPSO-TA is better than Pareto fronts found by MPSO and MOSA based on the test problems that are used in this research at the cost of CPU time. Further, the proposed IMPSO-TA performs as best available algorithms in the literature for small and medium test problems with a very minor deviation for best results for large test problems.