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      A Review on Phytochemical and Pharmacological Aspects of Ochradenus baccatus

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          Abstract

          Ochradenus baccatus, also known as "Taily Weed," is a perennial shrub that belongs to the Resedaceae family and is often used as a folk medicine for the treatment of headache, fever or sexual disorders in the Middle Eastern countries. It is also used as an antibiotic, cooling agent and deodorant. Due to its widespread use in traditional medicine in the Middle Eastern countries and lack of scientific evidence, it is being investigated for its phytotherapeutic potential in different disease conditions.

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          Treatment strategies against diabetes: Success so far and challenges ahead

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            A Comprehensive Review on Hydrothermal Carbonization of Biomass and its Applications

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              Blockchain and Fog Based Architecture for Internet of Everything in Smart Cities

              Fog computing (FC) is used to reduce the energy consumption and latency for the heterogeneous communication approaches in the smart cities’ applications of the Internet of Everything (IoE). Fog computing nodes are connected through wired or wireless medium. The goal of smart city applications is to develop the transaction relationship of real-time response applications. There are various frameworks in real-world to support the IoE in smart-cities but they face the issues like security, platform Independence, multi-application assistance, and resource management. This article is motivated from the Blockchain and Fog computing technologies and presents a secured architecture Blockchain and Fog-based Architecture Network (BFAN) for IoE applications in the smart cities. The proposed architecture secures sensitive data with encryption, authentication, and Blockchain. It assists the System-developers and Architects to deploy the applications in smart city paradigm. The goal of the proposed architecture is to reduce the latency and energy, and ensure improved security features through Blockchain technology. The simulation results demonstrate that the proposed architecture performs better than the existing frameworks for smart-cities.
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                Author and article information

                Journal
                BIO Web of Conferences
                BIO Web Conf.
                EDP Sciences
                2117-4458
                2024
                January 12 2024
                2024
                : 86
                : 01019
                Article
                10.1051/bioconf/20248601019
                7c4c0e32-5828-4469-a6ed-2ab3969d4db4
                © 2024

                https://creativecommons.org/licenses/by/4.0/

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