• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.10
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• pp.4661-4680
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• 2016

Cognitive radio (CR) technology is an effective solution to the spectrum scarcity issue. Collaborative spectrum sensing is known as a promising technique to improve the performance of spectrum sensing in cognitive radio networks (CRNs). However, collaborative spectrum sensing is vulnerable to spectrum data falsification (SSDF) attack, where malicious users (MUs) may send false sensing data to mislead other secondary users (SUs) to make an incorrect decision about primary user (PUs) activity, which is one of the key adversaries to the performance of CRNs. In this paper, we propose a coalition based malicious users detection (CMD) algorithm to detect the malicious user in CRNs. The proposed CMD algorithm can efficiently detect MUs base on the Geary'C theory and be modeled as a coalition formation game. Specifically, SSDF attack is one of the key issues to affect the resource allocation process. Focusing on the security issues, in this paper, we analyze the power allocation problem with MUs, and propose MUs detection based power allocation (MPA) algorithm. The MPA algorithm is divided into two steps: the MUs detection step and the optimal power allocation step. Firstly, in the MUs detection step, by the CMD algorithm we can obtain the MUs detection probability and the energy consumption of MUs detection. Secondly, in the optimal power allocation step, we use the Lagrange dual decomposition method to obtain the optimal transmission power of each SU and achieve the maximum utility of the whole CRN. Numerical simulation results show that the proposed CMD and MPA scheme can achieve a considerable performance improvement in MUs detection and power allocation.

• Microbiology and Biotechnology Letters
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• v.49 no.4
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• pp.587-593
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• 2021

Infertility is a key issue affecting mood and behavior in men. Microorganisms are one of the primary etiological agents that may be associated with infertility. The objective of the present study was to identify bacterial causative agents from the semen of infertile subjects and determine the effect of bacterial infection on sperm quality, as well as determine the susceptibility of these bacteria to drugs. Forty semen samples from 30 infertile patients and 10 fertile individuals were collected. The pH, volume, motility, and concentration of semen were analyzed. The samples were processed and identified by biochemical testing using API identification kits. The antibiotic susceptibility pattern was determined using the disc diffusion method. Abnormal sperm quality was observed. The mean age of the individual and their sperm morphology, concentration, progressive motility, pH level, and pus cell content were 31.9 years, 2.7%, 10.4 million/ml, 27.3%, 8.3, and 5.7, respectively. Among the tested samples, oligoasthenozoospermia was found to show the highest occurrence, at 27/30 samples, followed by teratozoospermia, at 25/30 samples, and asthenozoospermia, at 22/30 samples. Of the tested infertile patients' sperm, 19, 6, and 5 isolates were identified as Escherichia coli, Klebsiella pneumonia, and Staphylococcus epidermidis, respectively. The results also revealed multi-drug resistance in the bacteria. Compared to that shown by the other tested antibiotics, amikacin showed higher activity against all isolated bacteria. However, the bacteria exhibited maximum resistance against gentamicin, cefotaxime, levofloxacin, and ampicillin. In conclusion, leukocytospermia and bacterial infections are possibly responsible for sperm abnormalities. Multi-drug resistant bacteria were detected. Gentamicin, cefotaxime, levofloxacin and ampicillin were shown the highest resistance, while amikacin was the most effective antimicrobial agent against the isolated bacteria.

• Korean Journal of Plant Resources
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• v.36 no.1
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• pp.15-25
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• 2023

Myriophyllum spicatum L. has been used as an ornamental in ponds and aquariums, and as a folk remedy for inflammation and pus. Nevertheless, the biological activity and underlying mechanisms of anti-inflammatory effects are unclear. This study is aimed at investigating the antioxidative and anti-inflammatory activities of ethanol extract of Myriophyllum spicatum L. (EMS) in lipopolysaccharide (LPS)-stimulated RAW 264.7 cells. Antioxidant activity of EMS was assessed by radical-scavenging effects on ferric reducing antioxidant power (FRAP) and 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radicals. As inflammatory response parameters produced by LPS-stimulated RAW 264.7 cells were quantified to assess the anti-inflammatory activity of EMS. Our results showed that EMS increased FRAP and DPPH radical-scavenging activity. In EMS-treated RAW 264.7 cells, the production of NO, PGE₂, TNF-α and IL-1β was significantly inhibited at the non-cytotoxic concentration. In addition, EMS significantly attenuated LPS-stimulated the toll-like receptor (TLR) 4/myeloid differentiation protein (MyD) 88 signaling pathway, and inhibited nuclear translocation of nuclear factor-kappa B(NF-κB). Positive correlations were noted between anti-inflammatory activity and antioxidant activity. In conclusion, it was indicated that EMS suppresses the transcription of inflammatory factors by inhibiting the TLR4/MyD88/NF-κB signaling pathway, thereby suppressing LPS-stimulated inflammation in RAW 264.7 cells. This study highlights the potential role of EMS against inflammation and associated diseases.