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Description

Background and aims

The physical parameters and the occurrence and abundance of zooplankton in Ain-Zayanah lagoon, Benghazi, Libya, were studied from August, 2005–July, 2006, as a part of detailed investigation on the feasibility of converting the lagoon into an aquaculture farm for captive breeding and culturing of different economically important edible fish, fish fry, molluscan and crustacean animals, and for culturing the zooplankton which form the food of these organisms.

Methods

Five different sites located near to the shore were selected in the lagoon for water and zooplankton monthly sampling and analyses. The physical parameters of the water included air and water temperatures, transparency, electrical conductivity, total dissolved solids, pH, dissolved oxygen and total hardness; they were analysed using standard methods. Various differences were revealed in the relationships of these parameters in and between sites, months and seasons.

Results

Seven major groups of zooplankton inhabited Ain-Zayanah lagoon; rotifers formed the dominant one (40.50%), followed by rhabtida (21.61%), crustacean larva (14.55%), foraminifera (13.23%), ostracoda (5.97%), copepoda (4.13%) and cladocera (0.01%). Air and water temperatures, pH, DO, electrical conductivity, TDS and hardness had different relationships with the seven zooplankton groups in Ain-Zayanah lagoon.

Conclusion

The results obtained were discussed extensively in the light of available literature in the fields, and suitable conclusions, suggestions and precautions to be taken were given in connection with the establishment of Aquaculture farm in Ain-Zayanah lagoon

This study delves into the evaluation of daily profits within the network of Sephora cosmetics branches, employing distributed systems, the K-means algorithm, and WEKA visualization techniques. The objective is to analyze the profitability patterns across Sephora branches and uncover underlying clusters to optimize strategic decision-making. The research methods encompassed the utilization of distributed systems to collect and integrate daily profit data from multiple Sephora branches. The K-means clustering algorithm was applied to segment the dataset, discerning distinct clusters based on profit margins and performance metrics. The WEKA visualization tool was instrumental in depicting these clusters in a comprehensive and interpretable manner, offering insights into profit distributions and potential areas for enhancement. This research revealed intricate profitability structures within the Sephora branch network. The application of the K-means algorithm, distinct clusters of branches with varying profitability profiles were identified. WEKA visualization facilitated the graphical representation of these clusters, elucidating the relationships between different branches based on daily profits. Such insights can aid decision-makers in strategizing resource allocation, marketing initiatives, and operational improvements tailored to each cluster's profitability dynamics. The amalgamation of distributed systems, K-means algorithm, and WEKA visualization offered a robust framework for assessing and optimizing the financial performance of  Sephora branches. This research contributes valuable insights into the evaluation of daily profits across  Sephora cosmetics branches, showcasing the potential of distributed systems and advanced analytical tools in understanding profitability patterns. The findings provide a foundation for strategic interventions aimed at enhancing profitability and operational efficiencies within the Sephora branch network.

Clostridioides difficile is an important human pathogen causing antibiotic-associated diarrhoea worldwide. Besides using antibiotics for treatment, the interest in bacteriophages as an alternative therapeutic option has increased. Prophage abundance and genetic diversity are well-documented in clinical strains, but the carriage of prophages in environmental strains of C. difficile has not yet been explored. Thus, the prevalence and genetic diversity of integrated prophages in the genomes of 166 environmental C. difficile isolates were identified. In addition, the clustered regularly interspaced short palindromic repeats (CRISPR)-Cas systems were determined in the genomes of prophage regions. Predicted prophages and CRISPR-Cas systems were identified by using the PHASTER web server and CRISPRCasFinder, respectively. Phylogenetic relationships among predicated prophages were also constructed based on phage-related genes, terminase large (TerL) subunits and LysM. Among 372 intact prophages, the predominant prophages were phiCDHM1, phiCDHM19, phiMMP01, phiCD506, phiCD27, phiCD211, phiMMP03, and phiC2, followed by phiMMP02, phiCDKM9, phiCD6356, phiCDKM15, and phiCD505. Two newly discovered siphoviruses, phiSM101- and phivB_CpeS-CP51-like Clostridium phages, were identified in two C. difficile genomes. Most prophages were found in sequence types (STs) ST11, ST3, ST8, ST109, and ST2, followed by ST6, ST17, ST4, ST5, ST44, and ST58. An obvious correlation was found between prophage types and STs/ribotypes. Most predicated prophages carry CRISPR arrays. Some prophages carry several gene products, such as accessory gene regulator (Agr), putative spore protease, and abortive infection (Abi) systems. This study shows that prophage carriage, along with genetic diversity and their CRISPR arrays, may play a role in the biology, lifestyle, and fitness of their host strains.

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. 

Abstract:

The incessant use of mobile phones can be attributed to its portability and thus have become one of the most widely used devices in mobile communication which makes it so essential in our lives.

The convenience and portability of mobile phones has made it possible to be carried everywhere, e.g. Mosques, lecture halls, medical centers etc. Its convenience can create inconvenience in some places when there is continuous beeping or ringtones of mobile phones which becomes annoying when such noise is disruptive in areas where silence is required or the use or of mobile phone is restricted or prohibited like Libraries and Study rooms.

This review aimed to investigate the effect of pH on morphology, and size of gold nanoparticles (AuNPs) biosynthesized using extracts of various plant parts and agricultural waste. By reviewing previous studies, it was found that the formation of AuNPs was more rapid in neutral and basic mediums than in acidic mediums. Furthermore, most of those studies indicated that the smallest sizes of biosynthesized AuNPs, produced by plant extracts, were in neutral and alkaline mediums. Regarding the morphology, it was found that multiple shapes of the AuNPs were obtained in an acidic medium of the reaction, while there was typically a dominant shape of the AuNPs in the basic medium. In conclusion, significant quantities of AuNPs with appropriate sizes and morphology could be obtained by controlling the medium of the reaction when AuNPs are biosynthesized using extracts of plant parts and agricultural waste.