Activity

Epidemic simulations have recently been used to model the dynamics of malicious codes in the network of wireless sensors. This is because of its open existence, which offers a simple target for malware attacks aimed at disrupting network operations or, worse, causing complete network failure. The Susceptible-Exposed-Infectious-Quarantined-Recovered-Susceptible with Vaccination compartments models like SIR-M, SEIRV, SEIQRV, SEIRS, SITR, SIR with delay are studied by various authors and some of such models that characterize worm dynamics in WSN. After a concise presentation of the wireless sensor network, some primary research consequences of e-pandemic models (of various researchers) are given and assessed. At that point the uses of wireless sensor network in the clinical wellbeing, agribusiness, and military, space and marine investigation are laid out. What’s more, we break down the upside of wireless sensor network in these sectors. In this review article, we sum up the fundamental factors that influence the uses of wireless sensor networks in view of e-epidemic models and revived some epidemic models and also discussed some conceivable future works of different epidemic wireless sensor models.Learning science in the context of socio-scientific issues (SSI) can promote scientific literacy that links science to everyday life and society. In this position paper, we argue that developing and using multiple models equip students with the appropriate knowledge and skills needed to deal with complex issues. We draw upon literature from science education and philosophy of science and advance our theoretical argument about why it is critical for students to develop and use multiple models as part of their science learning experiences in general, and how the practice benefits students in the context of SSI in particular. We posit that students should engage in both scientific and socio-scientific models as they explore a complex societal issue because (1) engagement in multiple scientific models promotes students’ understanding about the phenomena relevant to the focal issue, and (2) engagement in socio-scientific models helps students to use that scientific knowledge in the larger social contexts and reason about how interacting science and social factors may impact students’ positions on the complex issue. We take COVID-19 as the learning context and present exemplar models students can develop and use as they learn about the pandemic. We conclude the paper by discussing the teaching aspects of the proposed modeling approach for SSI-based instruction as well as identifying possible areas for future research.Against the backdrop of countries increasingly being confronted with undesirable but unreturnable non-citizen terrorist suspects, this article describes the resettlement process of 150 cleared but unreturnable Guantanamo Bay detainees. GSK458 Merely 13% of these detainees have been resettled in full democracies, compared to 52% in authoritarian regimes. Using Starkley et al.’s concept of ‘zone agreement’ the article explains how the U.S. particularly managed to incentivize pragmatically oriented – rather than idealistically motivated – governments to engage in third country resettlement [16]. From the perspective of the U.S. the resettlement scheme can be considered relatively successful, while the experiences of resettlement countries and the resettled detainees themselves have been very mixed.An outbreak of a new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), began in December 2019. Accurate, rapid, convenient, and relatively inexpensive diagnostic methods for SARS-CoV-2 infection are important for public health and optimal clinical care. The current gold standard for diagnosing SARS-CoV-2 infection is reverse transcription-polymerase chain reaction (RT-PCR). However, RTPCR assays are designed for use in well-equipped laboratories with sophisticated laboratory infrastructure and highly trained technicians, and are unsuitable for use in under-equipped laboratories and in the field. In this study, we report the development of an accurate, rapid, and easy-to-implement isothermal and nonenzymatic signal amplification system (a catalytic hairpin assembly (CHA) reaction) coupled with a lateral flow immunoassay (LFIA) strip-based detection method that can detect SARSCoV-2 in oropharyngeal swab samples. Our method avoids RNA isolation, PCR amplification, and elaborate result analysis, which typically takes 6-8 h. The entire CHA-LFIA detection method, from nasopharyngeal sampling to obtaining test results, takes less than 90 min. Such methods are simple and require no expensive equipment, only a simple thermostatically controlled water bath and a fluorescence reader device. We validated our method using synthetic oligonucleotides and clinical samples from 15 patients with SARS-CoV-2 infection and 15 healthy individuals. Our detection method provides a fast, simple, and sensitive (with a limit of detection (LoD) of 2000 copies/mL) alternative to the SARS-CoV-2 RT-PCR assay, with 100 % positive and negative predictive agreements.This article argues in defence of human-robot friendship. I begin by outlining the standard Aristotelian view of friendship, according to which there are certain necessary conditions which x must meet in order to ‘be a friend’. I explain how the current literature typically uses this Aristotelian view to object to human-robot friendships on theoretical and ethical grounds. Theoretically, a robot cannot be our friend because it cannot meet the requisite necessary conditions for friendship. Ethically, human-robot friendships are wrong because they are deceptive (the robot does not actually meet the conditions for being a friend), and could also make it more likely that we will favour ‘perfect’ robots, and disrespect, exploit, or exclude other human beings. To argue against the above position, I begin by outlining and assessing current attempts to reject the theoretical argument-that we cannot befriend robots. I argue that the current attempts are problematic, and do little to support the claim that we can be friends with robots now (rather than in some future time).