“…METHOD: Participants (N = 1,823) each performed 176 reaction time trials consisting of 29 SOA levels and three visual intensity levels, using CrowdFlower, with a compensation of US$0.20 per participant. …”
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“…BACKGROUND: Crowdsourcing, outsourcing problems and tasks to a crowd, has grown exponentially since the term was coined a decade ago. …”
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“…However, with limited medical resources, increases in preventive health expenditure crowd out curative expenditure, and vice versa, which in turn impairs the population’s health and deters economic growth. …”
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“…Finally, we found that excluding ratings from participants who were not familiar with a given news source dramatically reduced the effectiveness of the crowd. Our findings indicate that having algorithms up-rank content from trusted media outlets may be a promising approach for fighting the spread of misinformation on social media.…”
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“…The most prevalent behaviors were categorized into: be heard, be distracted, show negative internal emotions, crowd, avoid, withdraw, be exhausted, and learning. …”
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“…The data may be underestimated because of misdiagnose or missed diagnosis; High incidence crowd of the disease is the middle-aged male smoker, the tumor-node-metastasis (TNM) stages of them are later than others; Typical neurological symptoms include varying degrees of short-term memory loss, seizures and varying degrees of mental disorders; neurological symptoms usually occur before the onset of cancer or respiratory symptoms appear, an average of about 2 months be taken from onset to diagnosis; Serum antibody (anti-Hu, GABA-R-Ab), cerebrospinal fluid, head magnetic resonance imaging (MRI) and electroencephalogram (EEG) of the patients has abnormalities; Videography, especially computed tomography (CT) is a good means of screening the primary tumor, pathology diagnosis mainly rely on bronchoscopy; The treatment of primary tumors can be more effective in alleviating the nervous system symptoms than immunotherapy. …”
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“…The ChEA3 background database contains a collection of gene set libraries generated from multiple sources including TF–gene co-expression from RNA-seq studies, TF–target associations from ChIP-seq experiments, and TF–gene co-occurrence computed from crowd-submitted gene lists. Enrichment results from these distinct sources are integrated to generate a composite rank that improves the prediction of the correct upstream TF compared to ranks produced by individual libraries. …”
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“…Keywords that were searched included (Mass gathering OR Crowd) AND (Assessment OR Evaluation) AND (Disaster OR Emergencies) AND (Injuries OR Stamped). …”
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“…However, experts have cautioned that MCF could exacerbate health and social disparities by amplifying the choices (and biases) of the crowd and leveraging these to determine who has access to financial support for healthcare. …”
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“…METHODS: To this end, in the context of the CrowdHEALTH project, data from heterogeneous sources will be exploited and the Policy Development Toolkit (PDT) model will be used. …”
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“…It was found that, for chosen bioaerosol generation parameters and weather conditions, the new personal sampler would be capable to reliably detect pathogens at all locations occupied by crowd, even at distances of up to 600 m from the source.…”
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“…We consider cricket as a case study and classify five scene categories, i.e., batting, bowling, boundary, crowd and close-up. We employ our model using pre-trained AlexNet Convolutional Neural Network (CNN) for scene classification. …”
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“…In the events discussed in this Review, the combination of a large influx of people, many from countries with outbreak-prone infectious diseases, with a high degree of crowd interactions imposed substantial burdens on host countries' health systems. …”
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“…METHODS: A prospective cross-sectional study of 298 random volunteers was conducted, with each participant completing a survey instrument that was administered through an internet crowd-sourcing service (Amazon Mechanical Turk). …”
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“…Public health strategies and responses can be divided into four main areas, including monitoring, public education, crowd controlling, and care facilities. CONCLUSION: According to the results of the management decisions of some governments on quarantining, social isolation, screening methods, and flight suspensions due to the severity and anonymity of COVID-19, it is highly assured that these strategies would be the most successful approaches to confront the present pandemic. …”
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“…CONCLUSION: We conclude that high-level ensemble information can influence how we perceive individual items in a crowd, even when working memory demands are low and the ensemble information is not directly task-relevant.…”
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“…The necessity of keeping open and accessible public commercial establishments such as supermarkets or pharmacies increases during the pandemic provided that distancing rules and crowd control are satisfied. Herein, using agent-based models, we explore the potential spread of the novel SARS-CoV-2 considering the case of a small size supermarket. …”
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“…This paper draws from retail space allocation, crowd science, operational research and ergonomics/biomechanics to develop a method for identifying the minimum amount of space an individual needs to socially distance in shops, markets, shopping centres and open commercial spaces, when there are other people present. …”
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“…Our results support policies that limit crowd size in indoor spaces and provide viral load benchmarks for infection control and therapeutic interventions intended to prevent secondary transmission.…”
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“…The analysis has been conducted using the crowd-sourced Heart for Heart data. The prediction performance of ML using two features (AUC of 94.7%) – the a wave of the second derivative PPG and tpr, including four covariates, sex, height, weight, and smoking – was similar to that of the best performing CNN, 12-layer ResNet (AUC of 95.3%). …”
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