Iron Oxide Nanoparticle-Based Ferro-Nanofluids for Advanced Technological Applications

Iron oxide nanoparticle (ION)-based ferro-nanofluids (FNs) have been used for different technological applications owing to their excellent magneto-rheological properties. A comprehensive overview of the current advancement of FNs based on IONs for various engineering applications is unquestionably necessary. Hence, in this review article, various important advanced technological applications of ION-based FNs concerning different engineering fields are critically summarized. The chemical engineering applications are mainly focused on mass transfer processes. Similarly, the electrical and electronics engineering applications are mainly focused on magnetic field sensors, FN-based temperature sensors and tilt sensors, microelectromechanical systems (MEMS) and on-chip components, actuators, and cooling for electronic devices and photovoltaic thermal systems. On the other hand, environmental engineering applications encompass water and air purification. Moreover, mechanical engineering or magneto-rheological applications include dampers and sealings. This review article provides up-to-date information related to the technological advancements and emerging trends in ION-based FN research concerning various engineering fields, as well as discusses the challenges and future perspectives.     

Can a Procedure for the Growth of Single-layer Graphene on Copper be used in Different Chemical Vapor Deposition Reactors?

In the last decade, catalytic chemical vapor deposition (CVD) has been intensively explored for the growth of single-layer graphene (SLG). Despite the scattering of guidelines and procedures, variables such as the surface texture/chemistry of catalyst metal foils, carbon feedstock, and growth process parameters have been well-scrutinized. Still, questions remain on how best to standardize the growth procedure. The possible correlation of procedures between different CVD setups is an example. Here, two thermal CVD reactors were explored to grow graphene on Cu foil. The design of these setups was entirely distinct, one being a “showerhead” cold-wall type, whereas the other represented the popular “tubular” hot-wall type. Upon standardizing the Cu foil surface, it was possible to develop a procedure for cm²-scale SLG growth that differed only by the carrier gas flow rate used in the two reactors.     

A Statistical Model for Early Detection of DDoS Attacks on Random Targets in SDN

Wireless Personal Communications - Software Defined Networks (SDNs) have accelerated and simplified the management, configuration and error detection in today’s networking systems. However,...     

Study of effective parameters on wear behavior of rubbers based on statistical methods

This study investigates the wear, surface roughness, and temperature buildup (TBU) of styrene butadiene rubber (SBR), natural rubber (NR), and nitrile butadiene rubber (NBR) while sliding over abrasives of different sizes with the variation of normal load. Rubber properties such as tensile strength (s) and elongation at break (e) were considered as input parameters. Individual, as well as interacting effects of different parameters, were analyzed in‐depth by using statistical methods. Overall wear of rubber depends not only on the tribological system but also on mechanical properties that contribute different wear mechanisms in addition to abrasion. The abrasive particle size and 1/(se) are the first and second most significant contributing factors, respectively, to all output parameters except the wear rate where the second contributing factor is the applied load and abrasive size is the highest contributor. Larger abrasive particles deepen ploughing marks, which is enhanced by the higher load, and lead to higher surface roughness. The effect of load on TBU is negligible because of the soft nature of the rubber material.     

A Stochastic Approximation Approach for Foresighted Task Scheduling in Cloud Computing

Wireless Personal Communications - With the increasing and elastic demand for cloud resources, finding an optimal task scheduling mechanism become a challenge for cloud service providers. Due to...     

Real-time detection of traffic anomalies in wireless mesh networks

Anomaly detection is emerging as a necessary component as wireless networks gain popularity. Anomaly detection has been addressed broadly in wired networks and powerful methods have been developed for correct detection of a variety of known attacks and other anomalies. In this paper, we propose a real-time anomaly detection and identification scheme for wireless mesh networks (WMN) using components from previous methods developed for wired networks. Experiments over a WMN testbed show the effectiveness of the proposed scheme in isolating different types of anomalies, such as Denial-of-service attacks, port scan attacks, etc. Our scheme uses Chi-square statistics and it is based on similar ideas as the scheme presented by Lakhina et al. although it has lower computational complexity. The original method by Lakhina et al. was developed for wired networks and used Principal Component Analysis (PCA) for reducing the dimensions of observed data and Hotelling’s t ² statistics to distinguish between normal and abnormal traffic conditions. However, in our studies we found that dimension reduction is the most computationally intensive process of the scheme. In this paper we propose an alternative way of reducing dimensions using flow variances in a Chi-square test. Experimental results show that the Chi-square test performs similarly well to the PCA-based method at merely a fraction of the computations. Moreover, we propose an automatic identification scheme to pin-point the cause of the detected anomaly and its contribution in terms of additional or lack of traffic. Our results and comparison with other statistical tools show that the Chi-square test and the PCA-based method with identification scheme make powerful tools for real-time detection of various anomalies in an interference prone wireless networking environment.     

Fluorescence spectrum due to surface plasmon polariton emission in a three level atom

The dynamics of a V-type three level atom positioned inside a metallic slab sandwiched between two asymmetric infinite dielectrics is studied. The surface plasmon polaritons supported by this structure are calculated, quantized and their dispersions are found to exhibit plasmonic band gaps which in turn modify the spontaneous transition rates and the fluorescence spectrum. Interesting features arise from the variations of the decay rate and spectrum with the mode frequency and electron density including local field effects.     

Chemical Composition,Apoptotic Activity,and Antiparasitic Effects of Ferula macrecolea Essential Oil against Echinococcus granulosus Protoscoleces

Background: Today, the present protoscolicidals used to minimize the serious risks during hydatid cyst surgery are not completely safe and have various adverse side effects. The present study aimed to evaluate the chemical composition and apoptotic activity of Ferula macrecolea essential oil (FMEO) as well as its in vitro and ex vivo protoscolicidal effects against hydatid cyst protoscoleces. Methods: Gas chromatography/mass spectrometry (GC/MS) analysis was performed to determine the chemical composition of FMEO. Protoscoleces of hydatid cysts were collected from liver fertile hydatid cysts of infected sheep and were then treated with various concentrations of the essential oil (75, 150, and 300 µL/mL) for 5–60 min in vitro and ex vivo. Then, by using the eosin exclusion test, the viability of the protoscoleces was studied. The caspase-3-like activity of the FMEO-treated protoscoleces was also evaluated through the colorimetric protease assay Sigma Kit based on the manufacturer’s instructions. Results: According to GC/MS, the main constituents of the essential oil were terpinolene (77.72%), n-nonanal (4.47%), and linalool (4.35%), respectively. In vitro, the maximum protoscolicidal activity of FMEO was observed at the concentrations of 150 and 300 µL/mL, such that 100% of the protoscoleces were killed after 30 and 20 min of exposure, respectively. Based on the obtained findings, the results demonstrate that FMEO required a longer time to kill protoscoleces ex vivo; after 12 min of exposure to FMEO, only 13.4% of the protoscoleces remained alive. After 48 h of the treatment of protoscoleces, FMEO, in a dose-dependent manner and at doses of 75, 150, and 300 µL/mL, induced the activation of the caspase enzyme by 24.3, 35.3, and 48.3%, respectively. Conclusions: Our findings demonstrate the potent protoscolicidal effects of FMEO in vitro and ex vivo; however, further studies are required to assess the safety and the efficiency of FMEO as a promising scolicidal agent in a preclinical model and clinical setting.     

High-throughput virtual screening and preclinical analysis identifies CB-1, a novel potent dual B-Raf/c-Raf inhibitor,effective against wild and mutant variants of B-Raf expression in colorectal carcinoma

Paradoxical Raf activation via Raf dimerization is a major drawback of wild/mutant B-Raf inhibitors. Herein, we report that CB-1 a novel, potent B-Raf/c-Raf dual inhibitor, effective against colon cancer cells, irrespective of their genetic status. High-throughput virtual screening of the ChemBridge library against wild B-Raf (B-Raf^WT), mutant B-Raf (B-Raf^V600E), and c-Raf was performed using an automated protocol with the AutoDock-VINA. Caco-2 and HT-29 cells were used. Of the 23,365 compounds screened computationally, CB-1 showed the highest binding energy towards B-Raf^WT with a ΔG_binding score of ? 13.0 kcal/mol. The compound was also predicted to be effective against B-Raf^V600E and c-Raf molecules with ΔG_binding energies of ? 10.6 and ? 10.1 kcal/mol, respectively. The compound inhibited B-Raf^WT, B-Raf^V600E and c-Raf kinases with IC₅₀ values of 27.13, 51.70, and 40.23 nM, respectively. The GI₅₀ value of CB-1 was 247.9 nM in B-Raf^WT-expressing Caco-2 cells and 352.4 nM in B-RafV600E-expressing HT-29 cells. Dose-dependent increases in total apoptosis and G₁ cell cycle phase arrest was observed in CB-1-treated colon cancer cells. The compound decreased B-Raf expression in both wild and mutant colon cancer cells. CB-1, a novel, potent dual B-Raf/c-Raf inhibitor was effective against colon cancer cells bearing wild-type and mutant variants of B-Raf expression.