Antidiabetic and Antioxidant Effects of Acteoside from Jacaranda mimosifolia Family Biognoniaceae in Streptozotocin–Nicotinamide Induced Diabetes in Rats

BACKGROUND: Acteoside is a phenylethanoid compound isolated from Jacaranda mimosifolia D. Don leaves with a potential antidiabetic effect. OBJECTIVES: This study was designed to investigate the antidiabetic and antioxidant effects of acteoside in streptozotocin-nicotinamide (STZ-NA)-induced Type 2 diabetes in rats. METHODS: Diabetes was induced by intraperitoneal (i.p.) injection of a single dose of STZ (52.5 mg/kg), 15 min following i.p. administration of NA (25 mg/kg). Rats were divided into six groups; Group I: Normal rat group received the vehicle, Group II: Diabetic control group, and Groups III-IV: Diabetic rat groups were treated by either oral acteoside (10, 20, and 40 mg/kg) or pioglitazone (30 mg/kg) for 21 consecutive days. Biochemical parameters were assessed in the serum and liver homogenates. Examination of liver sections for histopathology was also carried out. RESULTS: Acteoside treated rats showed significant lower levels of blood glucose, glycosylated hemoglobin, total cholesterol, triglycerides, and increased serum insulin compared to control diabetic rats. Furthermore, acteoside treated rats, in comparison to the diabetic control, demonstrated significantly reduced malondialdehyde, increased reduced glutathione liver contents, and attenuated pathological alterations in the liver. These effects were comparable to those caused by the standard antidiabetic drug, pioglitazone. In vitro, acteoside scavenged stable free radical 1,1-diphenyl-2-picrylhydrazyl. CONCLUSION: Acteoside could be considered as a potential therapeutic agent for type 2 diabetes mellitus. However, studying further mechanisms underlying its antidiabetic effect is recommended

Performance Evaluation of a Direct Absorption Collector for Solar Thermal Energy Conversion

The solar absorption efficiency of water as a base-fluid can be significantly improved by suspending nanoparticles of various materials in it. This experimental work presents the photo thermal performance of water-based nano-fluids of graphene oxide (GO), zinc oxide (ZnO), copper oxide (CuO), and their hybrids under natural solar flux for the first time. Nanofluid samples were prepared by the two-step method and the photothermal performance of these nanofluid samples was conducted under natural solar flux in a particle concentration range from 0.0004 wt % to 0.0012 wt %. The photothermal efficiency of water-based 0.0012 wt % GO nanofluid was 46.6% greater than that of the other nanofluids used. This increased photothermal performance of GO nanofluid was associated with its good stability, high absorptivity, and high thermal conductivity. Thus, pure graphene oxide (GO) based nanofluid is a potential candidate for direct absorption solar collection to be used in different solar thermal energy conversion applications

Verification of Current-State Opacity in Discrete Event Systems by Using Basis Coverability Graphs

A new approach to the verification of current-state opacity for discrete event systems is proposed in this paper, which is modeled with unbounded Petri nets. The concept of opacity verification is first extended from bounded Petri nets to unbounded Petri nets. In this model, all transitions and partial places are assumed to be unobservable, i.e., only the number of tokens in the observable places can be measured. In this work, a novel basis coverability graph is constructed by using partial markings and quasi-observable transitions. By this graph, this research finds that an unbounded net system is current-state opaque if, for an arbitrary partial marking, there always exists at least one regular marking in the result of current-state estimation with respect to the partial marking not belonging to the given secret. Finally, a sufficient and necessary condition is proposed for the verification of current-state opacity. A manufacturing system example is presented to illustrate that the concept of current-state opacity can be verified for unbounded net systems

A Self-Activated CNN Approach for Multi-Class Chest-Related COVID-19 Detection

Chest diseases can be dangerous and deadly. They include many chest infections such as pneumonia, asthma, edema, and, lately, COVID-19. COVID-19 has many similar symptoms compared to pneumonia, such as breathing hardness and chest burden. However, it is a challenging task to differentiate COVID-19 from other chest diseases. Several related studies proposed a computer-aided COVID-19 detection system for the single-class COVID-19 detection, which may be misleading due to similar symptoms of other chest diseases. This paper proposes a framework for the detection of 15 types of chest diseases, including the COVID-19 disease, via a chest X-ray modality. Two-way classification is performed in proposed Framework. First, a deep learning-based convolutional neural network (CNN) architecture with a soft-max classifier is proposed. Second, transfer learning is applied using fully-connected layer of proposed CNN that extracted deep features. The deep features are fed to the classical Machine Learning (ML) classification methods. However, the proposed framework improves the accuracy for COVID-19 detection and increases the predictability rates for other chest diseases. The experimental results show that the proposed framework, when compared to other state-of-the-art models for diagnosing COVID-19 and other chest diseases, is more robust, and the results are promising

An Attribute-Based Access Control for IoT Using Blockchain and Smart Contracts

With opportunities brought by the Internet of Things (IoT), it is quite a challenge to maintain concurrency and privacy when a huge number of resource-constrained distributed devices are involved. Blockchain have become popular for its benefits, including decentralization, persistence, immutability, auditability, and consensus. Great attention has been received by the IoT based on the construction of distributed file systems worldwide. A new generation of IoT-based distributed file systems has been proposed with the integration of Blockchain technology, such as the Swarm and Interplanetary File System. By using IoT, new technical challenges, such as Credibility, Harmonization, large-volume data, heterogeneity, and constrained resources are arising. To ensure data security in IoT, centralized access control technologies do not provide credibility. In this work, we propose an attribute-based access control model for the IoT. The access control lists are not required for each device by the system. It enhances access management in terms of effectiveness. Moreover, we use blockchain technology for recording the attribute, avoiding data tempering, and eliminating a single point of failure at edge computing devices. IoT devices control the user’s environment as well as his or her private data collection; therefore, the exposure of the user’s personal data to non-trusted private and public servers may result in privacy leakage. To automate the system, smart contracts are used for data accessing, whereas Proof of Authority is used for enhancing the system’s performance and optimizing gas consumption. Through smart contracts, ciphertext can be stored on a blockchain by the data owner. Data can only be decrypted in a valid access period, whereas in blockchains, the trace function is achieved by the storage of invocation and the creation of smart contracts. Scalability issues can also be resolved by using the multichain blockchain. Eventually, it is concluded from the simulation results that the proposed system is efficient for IoT

Synthesis of BiFeO3/ZnMgAl-LDH nanocomposite for instantaneous decolorization of methylene blue by ultrasonic induced adsorption system: characterization and equilibrium studies

The bismuth ferrite/ZnMgAl-LDH (BFO/LDH) nanocomposite was successfully synthesized in the in situ co-precipitation method as an enhanced adsorbent of methylene blue dye under sonication interference. The synthetic structure was deeply characterized by different structural, chemical, textural, and physical techniques, including XRD, FT-IR, Raman analysis, BET surface area TEM, and XPS. The charterization findings describe the formation of the composite as magnetic spherical-like nanoparticles with a grain size less than 100 nm, a surface area of 13.4 m ^2 g ^–1 , and multifunctional active chemical groups. The composite was applied to adsorb methylene blue (MB) via adsorption from an aqueous solution. MB adsorption experiments were conducted in an ultrasonic bath, and the effect of various adsorption parameters such as composite dosage, pH, time, and initial dye concentration has been briefly studied. The result indicated that pH 12 is more optimal for MB adsorption. The adsorption kinetics of the composite are determined to be pseudo-second-order. Furthermore, BFO/LDH composites exhibit a higher adsorption capacity (244.49 mg g ^−1 ) under optimal conditions. The equilibrium adsorption isotherm follows the Langmuir isotherm model. The results indicate that the prepared BFO/LDH composite provides a novel effective adsorbent for MB from aqueous media and could be applied for actual wastewater purification