68 research outputs found

    Intelligent GPS Spoofing Attack Detection in Power Grids

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    The GPS is vulnerable to GPS spoofing attack (GSA), which leads to disorder in time and position results of the GPS receiver. In power grids, phasor measurement units (PMUs) use GPS to build time-tagged measurements, so they are susceptible to this attack. As a result of this attack, sampling time and phase angle of the PMU measurements change. In this paper, a neural network GPS spoofing detection (NNGSD) with employing PMU data from the dynamic power system is presented to detect GSAs. Numerical results in different conditions show the real-time performance of the proposed detection method

    Malaysian Scholarly Open Access Journals during 2005-2012: A Survey

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    The main idea of this survey was to gather the data related to Malaysian Open Access Journals (OAJs) with respect to their subject, host organization, indexing, full text availability and language during 2005-2012. Malaysian journals were selected for this survey because Malaysia is currently one of the successful countries in science and technology among other Islamic countries. Data gathering was performed through using various sources of information such as literature, search engines, and directories. Altogether 216 Malaysian scientific OAJs were identified and analyzed. Most of these journals are published by universities in comparison with research institutes. The number of OAJs in “Social Sciences” and “Engineering and Technology” is higher than other subject fields. The main language of Malaysian OAJs is English. IRANDOR4 : 98.1000/ijism.92.11221

    Multi-Method Approach of Teaching Professional Ethics to Improve Organizational Commitment and Job Involvement: A Quasi- Experimental Study

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    Introduction: Learning professional ethics can enhance the effectiveness of medical graduates as future health care providers. Therefore, this study was conducted to examine the effectiveness of professional ethics education based on a multi-method approach in organizational commitment and job involvement of senior nurse anesthesia students of Ahvaz Jundishapur University of Medical Sciences (AJUMS), Ahvaz, Iran, in 2022.Methods: This was a quasi-experimental study with a pre-test post-test design including 64 senior nurse anesthesia students of AJUMS who were selected using census method and randomly divided (using simple random method) into two groups of intervention and control (n=32 each). For the intervention group, two 5-hour training workshops were held in 2 consecutive weeks using different training methods offered in an integrated manner, while participants in the control group received no education. Finally, the data were collected and analyzed using SPSS version 16, based on Kolmogorov–Smirnov test, paired and independent t-tests, chi-square test, and analysis of covariance.Results: Professional ethics education based on a multi-method approach had a positive effect on the organizational commitment and job involvement of senior nurse anesthesia students. There was a significant difference between the two groups in terms of their job involvement (P=0.005 and F=1.65) and organizational commitment scores (P=0.025 and F=35.56). These findings suggest that professional ethics education based on a multimethod approach can improve job involvement and organizational commitment and its dimensions (normative, continuance, and affective).Conclusion: Teaching professional ethics by explaining the moral virtues of work, business affairs, and code of professional conduct promotes job involvement and organizational commitment of senior nurse anesthesia students

    Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review

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    Context: User intent modeling is a crucial process in Natural Language Processing that aims to identify the underlying purpose behind a user's request, enabling personalized responses. With a vast array of approaches introduced in the literature (over 13,000 papers in the last decade), understanding the related concepts and commonly used models in AI-based systems is essential. Method: We conducted a systematic literature review to gather data on models typically employed in designing conversational recommender systems. From the collected data, we developed a decision model to assist researchers in selecting the most suitable models for their systems. Additionally, we performed two case studies to evaluate the effectiveness of our proposed decision model. Results: Our study analyzed 59 distinct models and identified 74 commonly used features. We provided insights into potential model combinations, trends in model selection, quality concerns, evaluation measures, and frequently used datasets for training and evaluating these models. Contribution: Our study contributes practical insights and a comprehensive understanding of user intent modeling, empowering the development of more effective and personalized conversational recommender systems. With the Conversational Recommender System, researchers can perform a more systematic and efficient assessment of fitting intent modeling frameworks

    Therapeutic Options and Critical Care Strategies in COVID-19 Patients; Where Do We Stand in This Battle?

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    A pandemic of COVID-19 made an appearance in Wuhan, China, in late December 2019 and rapidly became a serious concern worldwide, with killing more than 238000 people until 3rd May 2020. Given the fact that a vaccine against the virus probably won’t be available anytime in the near future, the therapeutic strategies have become more prominent. Many supposedly effective drugs are under evaluation which may hinder the replication of SARS-CoV-2, and subsequently the infection. Lately on 1th may 2020, FDA authorized the use of experimental drug, Remdesivir for "emergency purpose" in COVID-19 cases. Chloroquine and hydroxychloroquine, among the very first under-trial drugs, have been revealed to have promising impacts in treatment of SARS-CoV2. Broad-spectrum antivirals as well as HIV protease-inhibitors are still subject to assessment. Particularly angiotensin-converting enzyme 2 (ACE2) inhibitors are increasingly taken into consideration because of ACE2 being recognized as a host-cell receptor for COVID-19. Immune-Enhancement therapy by Interferons and Intravenous immunoglobulin (IVIG) has been shown to be effective in some cases. Moreover, Convalescent Plasma Therapy and auxiliary blood purification were considered as the treatment of SARS-CoV2 infection. Among the critically ill patients, Oxygen-therapy, timely usage of inflammatory inhibitors, and controlling viral shedding by antivirals may reduce the mortality and morbidity of COVID-19

    Protective effect of chronic administration of pelargonidin on neuronal apoptosis and memory process in amyloid-beta-treated rats

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    Objective: Alzheimer's disease (AD) is a progressive neurodegenerative disorder associated with impaired cognitive skills and learning and memory dysfunctions.  It has been suggested that pelargonidin (PG), as an antioxidant agent, has a neuroprotective effect. PG could prevent damaging effects of amyloid-beta (Aβ) deposition. The aim of this study was to determine the chronic effect of PG on hippocampal neurons and memory processes in a rat model of AD. Materials and Methods: Twenty-eight male adult rats were divided into sham, AD, AD+PG (5 μg, intracerebroventricular), and PG (5 μg, intracerebroventricular) groups. Intracerebroventricular (ICV) injection of Aβ peptides (6 μg) was done using stereotaxic surgery. ICV administration of PG or saline was performed daily for 28 consecutive days. Behavioral analysis was performed using the novel object recognition (NOR) and passive avoidance tests. Neuronal apoptosis was detected using TUNEL assay in the hippocampus. Results: The ICV injection of Aβ reduced step-through latency and discrimination index in behavioral tests (p <0.001). Aβ increased the number of apoptotic neurons (p <0.001). PG treatment decreased the time spent in the dark compartment and neuronal apoptosis in the AD+PG rats (p <0.001). PG increased the discrimination index in the NOR test (p <0.001).  Although PG did not change behavioral variables, it decreased cell death in the PG group. Conclusion: PG attenuated neuronal apoptosis and improved cognition and memory deficiency in AD rats. The protective effect of PG against Aβ may be due to its anti-apoptotic property. It is suggested that PG can be useful to treat AD

    Evaluating the potential of whole-genome sequencing for tracing transmission routes in experimental infections and natural outbreaks of bovine respiratory syncytial virus

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    Bovine respiratory syncytial virus (BRSV) is a major cause of respiratory disease in cattle. Genomic sequencing can resolve phylogenetic relationships between virus populations, which can be used to infer transmission routes and potentially inform the design of biosecurity measures. Sequencing of short

    Screening antivirals with a mCherry-expressing recombinant bovine respiratory syncytial virus: a proof of concept using cyclopamine

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    Bovine respiratory syncytial virus (BRSV) is a pathogenic pneumovirus and a major cause of acute respiratory infections in calves. Although different vaccines are available against BRSV, their efficiency remains limited, and no efficient and large-scale treatment exists. Here, we developed a new reverse genetics system for BRSV expressing the red fluorescent protein mCherry, based on a field strain isolated from a sick calf in Sweden. Although this recombinant fluorescent virus replicated slightly less efficiently compared to the wild type virus, both viruses were shown to be sensitive to the natural steroidal alkaloid cyclopamine, which was previously shown to inhibit human RSV replication. Our data thus point to the potential of this recombinant fluorescent BRSV as a powerful tool in preclinical drug discovery to enable high throughput compound screening

    Strong protection induced by an experimental DIVA subunit vaccine against bluetongue virus serotype 8 in cattle

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    AbstractBluetongue virus (BTV) infections in ruminants pose a permanent agricultural threat since new serotypes are constantly emerging in new locations. Clinical disease is mainly observed in sheep, but cattle were unusually affected during an outbreak of BTV seroype 8 (BTV-8) in Europe. We previously developed an experimental vaccine based on recombinant viral protein 2 (VP2) of BTV-8 and non-structural proteins 1 (NS1) and NS2 of BTV-2, mixed with an immunostimulating complex (ISCOM)–matrix adjuvant. We demonstrated that bovine immune responses induced by this vaccine were as good or superior to those induced by a classic commercial inactivated vaccine. In this study, we evaluated the protective efficacy of the experimental vaccine in cattle and, based on the detection of VP7 antibodies, assessed its DIVA compliancy following virus challenge. Two groups of BTV-seronegative calves were subcutaneously immunized twice at a 3-week interval with the subunit vaccine (n=6) or with adjuvant alone (n=6). Following BTV-8 challenge 3 weeks after second immunization, controls developed viremia and fever associated with other mild clinical signs of bluetongue disease, whereas vaccinated animals were clinically and virologically protected. The vaccine-induced protection was likely mediated by high virus-neutralizing antibody titers directed against VP2 and perhaps by cellular responses to NS1 and NS2. T lymphocyte responses were cross-reactive between BTV-2 and BTV-8, suggesting that NS1 and NS2 may provide the basis of an adaptable vaccine that can be varied by using VP2 of different serotypes. The detection of different levels of VP7 antibodies in vaccinated animals and controls after challenge suggested a compliancy between the vaccine and the DIVA companion test. This BTV subunit vaccine is a promising candidate that should be further evaluated and developed to protect against different serotypes
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