ABSTRACT

INTRODUCTION: Malignancy is regarded as a potentially fatal disorder that can impact human health globally. More than 90% of all oral cavity malignancies that have been detected are invasive oral squamous cell carcinomas (OSCCs). Patients having OSCC still have an extremely poor survival rate, even though medical therapy has advanced significantly. Medicinal plants have been the subject of recent scientific research. Capparis spinosa L. (CS) is among the prominent plants found across the Mediterranean region.According to phytochemical analysis, CS leaves are considered to be a promising therapeutic plant since they are an essential spring of bioactive substances such as flavonoids and phenolic acids. Research has indicated that CS extract exhibits anti-carcinogenic properties against numerous forms of cancer.

OBJECTIVE: The current research was to the evaluation of the anti-carcinogenic effect of the ethanolic extract of CS leaves on SCC-4 cell lines contrasted with both the untreated cancer cell lines and Cisplatin treated.

MATERIALS AND METHODS: This work comprised an in vitro investigation. SCC-4 cell line was separated into 3 groups: group 1 was considered as negative control (untreated), group 2 was positive control (Cisplatin-treated), and group 3 (treated with CS leaves extract). Viability, proliferation and apoptosis assays were performed to evaluate the possible therapeutic effect of the CS leaves extract in duration of 48 hours.

RESULTS: Treating SCC-4 cell line with the extract of CS leaves has shown that the viability effect was in a dose-dependent fashion. The IC50 or the half-maximal inhibitory concentration was equal to 176.3μg/ml. Also, CS treatment has elevated the apoptotic cells’ percentage and decreased SCC-4 cells proliferation rate in compare to the untreated cancer cell lines and Cisplatin

action.

CONCLUSION: the extract of CS leaves may have a prominent anti-cancerous effect on OSCC.

KEYWORDS: Oral squamous cell carcinoma, Capparis spinosa L., Viability, Proliferation, Apoptosis.

Running Title: Anti-carcinogenic effect of Capparis spinosa L. on SCC-4

The dentigerous cyst is a developmental odontogenic asymptomatic cyst, that is associated with the crown of an

unerupted or impacted tooth. Early diagnosis is important to avoid any future complications and choose the best

treatment option. The purpose of this case report is to describe the management of a dentigerous cyst related to

lower second molar in a young female patient using orthodontic traction as a conservative treatment approach.

This procedure helps to spare the patient an unnecessary surgical excision procedure and the associated excessive

bone removal for a safety margin, stimulates bone healing and promotes the eruption of the cyst-associated tooth.

Keywords Dentigerous cyst, Decompression, Orthodontic traction

During the recent years, remarkable rise occurs into spreading of wireless networks since it offers flexibility, mobility and popularity due to the increase in mobile phones application users. Despite real time applications consume more bandwidth than others which is a big challenge for network designers. Newer VoIP applications start to use codecs that are used to compress and decompress speech signals in addition to coding and decoding. Codecs need to use high compression ratios for the VoIP implementation to generate maximum value of Quality of Service ( QoS )to be Competitor to other traditional public switching networks. Also, Internet protocol version 6 is becoming more popular than version 4 since shortage of address space and additional features have been added to ipv6. In this paper, Different audio codecs G.711, G.729 and GSM that are widely utilized in VoIPv6 applications were studied and compared. These codecs were tested in WiMAX network through an IPv6 environment to determine their performance efficiency and find out the appropriate codec that suits VoIP transmission by observing various QoS parameters such as jitter, Delay, packet loss rate and Mean Opinion Score (MOS) value that affects the quality of voice transmission. These transmissions had taken place while the nodes were stationary or moving with different speeds. All simulation scenarios are performed with OPNET modeller 14.5.

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. 

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.