Filter Results
22155440 results
  • Data Types:
    • Dataset
  • The last decade faced a number of pandemics [1]. The current outbreak of COVID is creating havoc globally. The daily incidences of COVID-2019 from 11th January 2020 to 9th May 2020 were collected from the official COVID dashboard of world health organization (WHO) [2] , i.e. https://covid19.who.int/explorer. The data is updated with the population of the countries and further Case fatality rate, Basic Attack Rate (BAR) and Household Secondary Attack Rate (HSAR) are computed for all the countries. The data would be used by epidemiologists [3], data scientists and medical professionals across the world to draft various preventive and prescriptive measures for handling this outbreak.
    Data Types:
    • Tabular Data
    • Dataset
  • Data and files used in our study,
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • Document
  • Key Points: 1.Spray aerosol production from raindrop impact on seawater grows exponentially with increasing raindrop diameter. 2.The calculated spray aerosol production flux from precipitation could be larger than bubble bursting source in marine areas during rain events. 3.Spray aerosols from raindrop impact on seawater/soil contain metals and organics.
    Data Types:
    • Tabular Data
    • Dataset
    • Text
  • Data Types:
    • Dataset
  • This data was used for the case study of the following manuscript: "Regionalization of Primary Health Care Units with Multi-Institutional Collaboration"
    Data Types:
    • Tabular Data
    • Dataset
  • Data Types:
    • Dataset
  • Data Types:
    • Dataset
  • This study is to analyse the complementary and alternative treatments for the prevention of COVID-19/Coronavirus in the Turkish news.The sample of this descriptive study consisted of 160 news articles published between 11 March – 11 April 2020 on the websites of three highest-circulating newspapers throughout the nation. Quantitative media context analysis method, a form consisting of 14 questions and 2 sections were employed to evaluate news on newspapers. The data was analysed by using SPSS 21.0 statistical package programme using numbers and percentages.
    Data Types:
    • Dataset
    • Document
  • Attentional bias (AB) to smoking-related cues is considered an important risk factor for the development and maintenance of smoking. Attentional bias modification (ABM) has been used to modify the AB of smokers to smoking-related cues. Still, the training effects are extensively controversial. The present study aimed to investigate the effects of ABM that can affect AB and its components in smokers, and whether the training effects could transfer to different measures of AB. Forty-six male college smokers were allocated to either ABM training group using a modified visual probe task (n = 24), or corresponding placebo training (PT) group (n = 22). Training was computer-based and comprised three sessions in one week. Smoking craving and nicotine dependence were assessed using two self-report questionnaires, and the AB and its components were assessed using visual probe task with different stimulus durations from pre- to post-training. The transfer effects of visual-probe ABM on other AB measures were examined by assessing AB using the cue-target task and the pictorial Stroop task both before and after ABM training. Results showed that ABM training led to significantly decrease in AB to smoking-related cues as compared with the PT condition. The facilitated attention significantly reduced at 200 ms, whereas the difficulty in disengagement significantly decreased at 500 ms after ABM training. However, ABM had no effects on smoking craving and nicotine dependence. The training effects of visual-probe ABM could transfer to the cue-target task, but failed to generalize to the pictorial Stroop task.
    Data Types:
    • Tabular Data
    • Dataset
17