243 research outputs found

    Anticancer activity of methanolic extarct of Momordica charantia against human colon, liver and breast cancer cell lines- In vitro

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    Natural products are the best source for various medicinal drugs. Regardless investigate the toxic effect of these plant extracts, the results will still unsafe and unacceptable. This study aimed to identify anti-cancer activity and cytotoxicity effect of Momordica charantia extract on different cancer cell line. Materials and Methods:to archive the aim of this study 3 different cancer cell lines (HCT116, MCF-7, and HepG2) were treated with different Momordicacharantiaextract doses (from 0-100µg) for each cell line. IC50, cell viability,apoptosis, were evaluated. Results:The effect of Momordicacharantiaextract was highly significant in HepG2 cells than HCT116 cell as well as MCF-7 which showing the IC50 of Momordicacharantia extract in HepG2 was 0.77 µg/ml while in HCT116 was 0.81µg/mland was 1.35µg/ml in MCF-7 cells respectively. Also, the effect of the Momordicacharantia extract was more potent in HCT116 compared to MCF-7 cells.Conclusions: in the light of these resultsMomordicacharantiaextract may use as anticancer pro-drugat a specific type of cancer (Liver HepG2 cell line) but still need further studies to explore the mechanism of action that led to observe different results from different cell lines despite the same extract. Keywords: Momordicacharantia, Apoptosis, MCF-7, HepG2, HCT116

    Multi-period demand response management in the smart grid: a Stackelberg game approach

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    This thesis studies a multi-period demand response management problem in the smart grid where multiple utility companies compete among themselves. The user-utility interactions are modeled by a noncooperative game of a Stackelberg type where the interactions among the utility companies are captured through a Nash equilibrium. It is shown that this game has a unique Stackelberg equilibrium at which the utility companies set prices to maximize their revenues (within a Nash game) while the users respond accordingly to maximize their utilities subject to their budget constraints. Closed-form expressions are provided for the corresponding strategies of the users and the utility companies. It is shown, both analytically and numerically, that the multi-period scheme, compared with the single-period one, provides more incentives for energy consumers to participate in demand response programs. A necessary and sufficient condition on the minimum budget needed for a user to participate is provided. The large population regime is also investigated and an appropriate company-to-user ratio is provided

    Impact of Knowledge and Attitude on Saudis’ Physical Activity Practice and Inactivity Barriers: A Questionnaire-based Study

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    BACKGROUND: Community participation in physical activity is considered a major public health preference of WHO. Saudi Arabia in the last decades faced many tremendous economic changes leading to adoption of western dietary habits associated with sedentary lifestyle. AIM: We aimed to study the relationship between both physical activity knowledge and attitude of community to the practice of individuals. METHODS: We used a questionnaire consists of a mixture of closed-ended questions. Participants were recruited through direct meetings in local markets, schools, and workplaces. Seven hundred and sixty six individuals agreed to participate. RESULTS: Overall correct answers to questions about importance of physical activity were 76.58%. The predominance of participants’ attitude was to establish public places for physical activity in each neighborhood (92.1%). Participants acknowledged that they exercise to improve their health (47.5%). Participants mainly perform light exercises (47.2%) on basis of 1–3 times weekly (48.9%). About 90.8% of participants admitted that they like to increase duration of their physical activity. CONCLUSIONS: Overall physical activity practice of participants’ needs encourage overcoming obstacles that prevent individuals from practicing especially lack of time

    Mutated N-ras does not induce p19arf in CO25 cell line

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    The mouse cell line (CO25) used in this study was transfected with a glucocorticoid inducible mutated human N-ras oncogene under transcriptional control of the steroid-sensitive promoter of the mouse mammary tumors virus long terminal repeat MMTV-LTR. This study was aimed to investigate the expression of p19arf and MDM2 genes under the effect of N-ras oncogene induction and to invent the role of p19arf, MDM2 in N-ras pathway during various periods (12, 24, 48, 72, 96 h) using western blotting method. The levels of â-actin proteins in the same periods were our control group. The observations showed no increase of p19arf protein expression in normal, cancer and differentiated CO25 cells. MDM2 was accumulated until 72 h and after 96 h, it showed a dramatical decrease while β-actin levels were increased correlated to the volume of protein loaded to the gel. Because of the role of p19arf as tumor suppressor and p53-MDM2 linker, it is highly recommended to  investigate the relationship between N-ras and p53 and MDM2 in the same system to recognize the molecule that may play a linker molecule between p53 and MDM2 in p19arf lack system.Key words: Oncogene, N-ras, p19arf, myoblast, CO25 cells, differentiation, MDM2

    Real-time privacy preserving framework for Covid-19 contact tracing

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    The recent unprecedented threat from COVID-19 and past epidemics, such as SARS, AIDS, and Ebola, has affected millions of people in multiple countries. Countries have shut their borders, and their nationals have been advised to self-quarantine. The variety of responses to the pandemic has given rise to data privacy concerns. Infection prevention and control strategies as well as disease control measures, especially real-time contact tracing for COVID-19, require the identification of people exposed to COVID-19. Such tracing frameworks use mobile apps and geolocations to trace individuals. However, while the motive may be well intended, the limitations and security issues associated with using such a technology are a serious cause of concern. There are growing concerns regarding the privacy of an individual\u27s location and personal identifiable information (PII) being shared with governments and/or health agencies. This study presents a real-time, trust-based contact-tracing framework that operates without the use of an individual\u27s PII, location sensing, or gathering GPS logs. The focus of the proposed contact tracing framework is to ensure real-time privacy using the Bluetooth range of individuals to determine others within the range. The research validates the trust-based framework using Bluetooth as practical and privacy-aware. Using our proposed methodology, personal information, health logs, and location data will be secure and not abused. This research analyzes 100,000 tracing dataset records from 150 mobile devices to identify infected users and active users

    Secure Biomedical Document Protection Framework to Ensure Privacy Through Blockchain

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    In the recent health care era, biomedical documents play a crucial role, and they contain much evidence-based documentation associated with many stakeholders data. Protecting those confidential research documents is more difficult and effective, and a significant process in the medical-based research domain. Those bio-documentation related to health care and other relevant community-valued data are suggested by medical professionals and processed. Many traditional security mechanisms such as akteonline and Health Insurance Portability and Accountability Act (HIPAA) are used to protect the biomedical documents as they consider the problem of non-repudiation and data integrity related to the retrieval and storage of documents. Thus, there is a need for a comprehensive framework that improves protection in terms of cost and response time related to biomedical documents. In this research work, blockchain-based biomedical document protection framework (BBDPF) is proposed, which includes blockchain-based biomedical data protection (BBDP) and blockchain-based biomedical data retrieval (BBDR) algorithms. BBDP and BBDR algorithms provide consistency on the data to prevent data modification and interception of confidential data with proper data validation. Both the algorithms have strong cryptographic mechanisms to withstand post-quantum security risks, ensuring the integrity of biomedical document retrieval and non-deny of data retrieval transactions. In the performance analysis, Ethereum blockchain infrastructure is deployed BBDPF and smart contracts using Solidity language. In the performance analysis, request time and searching time are determined based on the number of request to ensure data integrity, non-repudiation, and smart contracts for the proposed hybrid model as it gets increased gradually. A modified prototype is built with a web-based interface to prove the concept and evaluate the proposed framework. The experimental results revealed that the proposed framework renders data integrity, non-repudiation, and support for smart contracts with Query Notary Service, MedRec, MedShare, and Medlock
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