1,378 research outputs found

    The Impact of Social Media on Panic During the COVID-19 Pandemic in Iraqi Kurdistan: Online Questionnaire Study

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    Background: In the first few months of 2020, information and news reports about the coronavirus disease (COVID-19) were rapidly published and shared on social media and social networking sites. While the field of infodemiology has studied information patterns on the Web and in social media for at least 18 years, the COVID-19 pandemic has been referred to as the first social media infodemic. However, there is limited evidence about whether and how the social media infodemic has spread panic and affected the mental health of social media users. Objective: The aim of this study is to determine how social media affects self-reported mental health and the spread of panic about COVID-19 in the Kurdistan Region of Iraq. Methods: To carry out this study, an online questionnaire was prepared and conducted in Iraqi Kurdistan, and a total of 516 social media users were sampled. This study deployed a content analysis method for data analysis. Correspondingly, data were analyzed using SPSS software. Results: Participants reported that social media has a significant impact on spreading fear and panic related to the COVID-19 outbreak in Iraqi Kurdistan, with a potential negative influence on people’s mental health and psychological well-being. Facebook was the most used social media network for spreading panic about the COVID-19 outbreak in Iraq. We found a significant positive statistical correlation between self-reported social media use and the spread of panic related to COVID-19 (R=.8701). Our results showed that the majority of youths aged 18-35 years are facing psychological anxiety. Conclusions: During lockdown, people are using social media platforms to gain information about COVID-19. The nature of the impact of social media panic among people varies depending on an individual's gender, age, and level of education. Social media has played a key role in spreading anxiety about the COVID-19 outbreak in Iraqi Kurdistan

    Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks

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    The benefits of autonomous vehicles (AVs) are widely acknowledged, but there are concerns about the extent of these benefits and AV risks and unintended consequences. In this article, we first examine AVs and different categories of the technological risks associated with them. We then explore strategies that can be adopted to address these risks, and explore emerging responses by governments for addressing AV risks. Our analyses reveal that, thus far, governments have in most instances avoided stringent measures in order to promote AV developments and the majority of responses are non-binding and focus on creating councils or working groups to better explore AV implications. The US has been active in introducing legislations to address issues related to privacy and cybersecurity. The UK and Germany, in particular, have enacted laws to address liability issues, other countries mostly acknowledge these issues, but have yet to implement specific strategies. To address privacy and cybersecurity risks strategies ranging from introduction or amendment of non-AV specific legislation to creating working groups have been adopted. Much less attention has been paid to issues such as environmental and employment risks, although a few governments have begun programmes to retrain workers who might be negatively affected.Comment: Transport Reviews, 201

    Improving the torque generation in self-sensing BLDC drives by shaping the current waveform

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    Brushless DC drives are widely used in different fields of application because of their high efficiency and power density. Torque ripple can be considered one of the drawbacks of these drives. This paper proposes a method to reduce the torque ripple in BLDC drives. For this reason, the current amplitude is adapted to the rotor position rather than to be kept constant as done in a conventional commutation method. This is done by computing an optimum reference current based on the phase back-EMF waveform. The proposed approach is implemented in a self-sensing drive so its applicability to self-sensing BLDC motor drives is verified. Simulation and experimental results are given and discussed to show that the proposed method actually is able to improve torque production

    Differentiating U(1)U(1)^\prime supersymmetric models with right sneutrino and neutralino dark matter

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    We perform a detailed analysis of dark matter signals of supersymmetric models containing an extra U(1)U(1)^\prime gauge group. We investigate scenarios in which either the right sneutrino or the lightest neutralino are phenomenologically acceptable dark matter candidates and we explore the parameter spaces of different supersymmetric realisations featuring an extra U(1)U(1)^\prime. We impose consistency with low energy observables, with known mass limits for the superpartners and ZZ^\prime bosons, as well as with Higgs boson signal strengths, and we moreover verify that predictions for the anomalous magnetic moment of the muon agree with the experimental value and require that the dark matter candidate satisfies the observed relic density and direct and indirect dark matter detection constraints. For the case where the sneutrino is the dark matter candidate, we find distinguishing characteristics among different U(1)U(1)^\prime mixing angles. If the neutralino is the lightest supersymmetric particle, its mass is heavier than that of the light sneutrino in scenarios where the latter is a dark matter candidate, the parameter space is less restricted and differentiation between models is more difficult. We finally comment on the possible collider tests of these models.Comment: 21 pages, 11 figures, version accepted by PR

    Implementing SVPWM Technique to an Axial Flux Permanent Magnet Synchronous Motor Drive with Internal Model Current Controller

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    This paper presents a study of axial flux permanent magnet synchronous motor (AFPMSM) drive system. An internal model control (IMC) strategy is introduced to control the AFPMSM drive through currents, leading to an extension of PI control with integrators added in the off-diagonal elements to remove the cross-coupling effects between the applied voltages and stator currents in a feed-forward manner. The reference voltage is applied through a space vector pulse width modulation (SVPWM) unit. A diverse set of test scenarios has been realized to comparatively evaluate the state estimation of the sensor-less AFPMSM drive performances under the implemented IMCbased control regime using a SVPWM inverter. The resulting MATLAB simulation outcomes in the face of no-load, nominal load and speed reversal clearly illustrate the well-behaved performances of IMC controller and SVPWM technique to an Axial Flux PM Motor Drive system

    Optimising the design of new build housing in the United Kingdom:the case of size and form

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    The house is the most life changing and most expensive product that most people will own in their lifetime. House design and construction is a very complicated process that affects and is influenced by various stakeholders such as government and non-governmental organisations, local authorities, housing developers, the general public, national and international environmental agencies. Even though modern lifestyle requirement has changed dramatically in the last 15 years, UK houses remain amongst the unchanged, smallest, uncharacteristic, energy inefficient and most expensive in Europe, this study provides evidence of the negative consequence of building small houses includes overcrowding, unhealthy and unsustainable developments. Furthermore, replication of the old design and lack of innovation in modern design becomes a trend and resulted only 1 in 4 people prefer to live in new built houses (RIBA 2013). Initially, this research provides insight into many problems associated with new houses built in the last 15 years, in term of small spaces, recycled form design, energy performance, cost, lack of architectural characteristic, marketing difficulties and scarcity of accommodating modern life requirements. Subsequently, addressing most of the factors impacted on the design aspect, such as land price, housing shortage, role of Green Belt, environmental and energy agenda, mind-set, modern lifestyle needs and public involvement in the design process. However, the focus of this study is an in-depth research into two aspects housing design: Size and Form, investigating the factors affecting the size of newly build houses and form design only. The research also outlines the key issues that led to the current space allowance and the lack of architectural innovation. The study identified and provides suggestions for tackling theses problems and produce healthier more liveable homes that will be adaptable under different future lifestyle changes. The aim of this study is to ‘investigate the factors that influences the current size and form of the newly built houses in the UK’ The research has been carried out using a mixed methodology targeting architects, estate agents and professional within the construction industry. Secondary data from governmental agencies and NHBC data has been reviewed to establish the trend in housing design and to understand the key reasons behind replication and recycling old house design (post war or 19th Century housing design).The outcome of this study highlights the necessity of having an immediate action and coordination among all the stakeholders involved in the housing production to optimise the design of new spacial and form design in a way to encourage innovation in design and encourage. The study concludes that providing National Minimum Space Standard is essential in helping the industry meets the minimum expectation liveable spaces that help in meeting the life style demands of 21st Century
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