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.

Abstract

Background: Cutaneous Leishmaniasis (CL) is a disease transmitted by infected sandflies in tropical and subtropical areas of the world. Over 12 million people are infected with CL, with 90% of cases occurring in Afghanistan, Iran, Algeria, Brazil, Peru, Saudi Arabia, Syria, and Libya. CL causes localized skin lesions that may disappear without treatment or persist, causing severe tissue damage, permanent disfigurement, and serious disability. Physical methods such as cryotherapy, heat therapy, photodynamic therapy, laser, and radiofrequency have shown promising results in treating CL. However, none of the suggested treatments are universally effective, and many of them are associated with serious local and systemic side effects. Early diagnosis and treatment can cure the disease, prevent psychological impact, and help in the prevention of transmission. Different therapeutic modalities (monotherapy or combined therapy) were used in patient treatment, with different approaches planned according to the severity and duration of the condition.

Patients and methods: The study was conducted on 60 Patients who were divided into three groups: 20 patients treated with dapsone tab 100mg once daily for one month and 20 with radiofrequency, the third group, 20 Patients were treated with a combination of dapsone tab 100mg and radiofrequency. Treatment sessions were scheduled 1 session every 2 weeks. Statistical analysis was carried out using SPSS software version 18 (USA).

Results and Discussion: Patients underwent weekly physical exams to evaluate clinical response and adverse effects. Clinical response was classified as complete, good, or poor. Data were analyzed using one-way NOVA, Turkey's test, chisquare test, ANOVA, and Fischer's exact test. There was no significant difference among studied groups regarding demographic data. Patients treated with dapsone and radiofrequency were significantly more cleared in 1-2 months than those treated with radiofrequency alone. Conclusion: Patients had weekly physical exams to evaluate the clinical response and adverse effects. Clinical response was classified as complete, good, or poor. Data was analyzed using various tests. Dapsone and radiofrequency-treated patients cleared more in 1-2 months.

Keywords: Cutaneous leishmaniasis; Dapsone; Radiofrequency; Aalgabal algarby; Libya

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. 

This study investigated the challenges facing 4^th year Health Sciences College students in Gharyan University in translating/ learning English medical terms into Arabic. Two types of instruments were used to collect quantitative data needed for answering the research questions. The study participants were asked to translate and analyse some given medical English terms into Arabic, and via a questionnaire items they were asked to select the strategies they used to translate and analyse the given terms. The results revealed that many of the participants failed to translate the given medical terms into Arabic and most of them failed to analyse the terms into their individual segments. The analysed questionnaire data showed that most of the participants prefer to use bilingual dictionaries in translating the given terms. Explicit teaching of the medical terms translation with the focus on the meaning of the affixes and the roots of the terms may help in achieving correct translation of any English medical terms into Arabic language.  

Key words: challenges, medical terms, quantitative data, questionnaire.

Abstract:

In this research study, we investigate the effectiveness of a proposed automated framework that leverages AI algorithms to improve the accuracy, scalability, and efficiency of data analysis. We compare the performance of the proposed framework to traditional data analysis methods in terms of accuracy, time and effort required for data analysis, and scalability. We conducted a questionnaire-based survey to collect data on the application of the proposed framework and traditional data analysis methods in real-world scenarios. We used statistical analyses, including t-tests and regression analyses, to analyze the data and draw conclusions. Our findings indicate that the proposed automated framework outperforms traditional data analysis methods in terms of accuracy, reduces the time and effort required for data analysis, and has better scalability for processing large datasets in real-time. Our results suggest that the proposed framework offers significant benefits for organizations seeking to improve their data analysis processes. However, we also note the importance of considering the costs and benefits of implementing the framework, as well as any ethical or legal implications. Further research is recommended to confirm the findings and to investigate the effectiveness of the proposed framework in different contexts and with different datasets.

Clostridioides difficile is the most important pathogen causing antimicrobial-associated diarrhea and has recently been recognized as a cause of community-associated C. difficile infection (CA-CDI). This study aimed to characterize virulence factors, antimicrobial resistance (AMR), ribotype (RT) distribution and genetic relationship of C. difficile isolates from diverse fecally contaminated environmental sources. C. difficile isolates were recovered from different environmental samples in Northern Germany. Antimicrobial susceptibility testing was determined by E-test or disk diffusion method. Toxin genes (tcdA and tcdB), genes coding for binary toxins (cdtAB) and ribotyping were determined by PCR. Furthermore, 166 isolates were subjected to whole genome sequencing (WGS) for core genome multi-locus sequence typing (cgMLST) and extraction of AMR and virulence-encoding genes. Eighty-nine percent (148/166) of isolates were toxigenic, and 51% (76/148) were positive for cdtAB. Eighteen isolates (11%) were non-toxigenic. Thirty distinct RTs were identified. The most common RTs were RT127, RT126, RT001, RT078, and RT014. MLST identified 32 different sequence types (ST). The dominant STs were ST11, followed by ST2, ST3, and ST109. All isolates were susceptible to vancomycin and metronidazole and displayed a variable rate of resistance to moxifloxacin (14%), clarithromycin (26%) and rifampicin (2%). AMR genes, such as gyrA/B, bla_CDD-1/2, aph(3′)-llla-sat-4-ant(6)-la cassette, ermB, tet(M), tet(40), and tetA/B(P), conferring resistance toward fluoroquinolone, beta-lactam, aminoglycoside, macrolide and tetracycline antimicrobials, were found in 166, 137, 29, 32, 21, 72, 17, and 9 isolates, respectively. Eleven “hypervirulent” RT078 strains were detected, and several isolates belonged to RTs (i.e., RT127, RT126, RT023, RT017, RT001, RT014, RT020, and RT106) associated with CA-CDI, indicating possible transmission between humans and environmental sources pointing out to a zoonotic potential.

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. 

Abstract: 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.

Derivative-free optimization techniques are widely used for solving optimization problems. The

focus in this work is given to some variants of Nelder-Mead and particle swarm methods to tackle two

unconstrained optimization problems originated from optimal control, namely the pole assignment problem for

discrete and continuous-time positive systems. we present the Nelder-Mead and Particle Swarm optimization

methods to solve problems. Moreover comparing our results with benchmarks in the literature.