Along with COVID-19 pandemic we are also fighting an 'infodemic'. Fake news and rumors are rampant on social media. Believing in rumors can cause significant harm. This is further exacerbated at the time of a pandemic. To tackle this, we curate and release a manually annotated dataset of 10,700 social media posts and articles of real and fake news on COVID-19. We perform a binary classification task (real vs fake) and benchmark the annotated dataset with four machine learning baselines -Decision Tree, Logistic Regression, Gradient Boost, and Support Vector Machine (SVM). We obtain the best performance of 93.32% F1-score with SVM on the test set. The data and code is available at: https://github.com/parthpatwa/covid19-fake-news-dectection.
Fake news, hostility, defamation are some of the biggest problems faced in social media. We present the findings of the shared tasks (https://constraint-shared-task-2021.github.io/) conducted at the CONSTRAINT Workshop at AAAI 2021. The shared tasks are 'COVID19 Fake News Detection in English' and 'Hostile Post Detection in Hindi'. The tasks attracted 166 and 44 team submissions respectively. The most successful models were BERT or its variations.
Prolongation of the pregnancy in cases of incompetence of cervix or short cervix can be done by prompt diagnosis at the correct time with a decision on encirclage taken at the right time. An observational retrospective study conducted over a period of 6 months in a tertiary care centre enrolling 14 pregnant women who had various risk factors like multiple gestation, short cervix, cervical incompetence, bad obstetric history, anomalous uterus, in vitro fertilization technique, history of primary infertility ,recurrent abortions and mid-trimester losses or preterm delivery, and the results were interpreted with various tables and charts showing the benefits of elective versus emergency encirclage. Through the study, it was found that there wasn't any significant difference in the incidence of a patient who underwent cervical encirclage whether the patient had a prior antenatal registration or not. 71% of the patients enrolled for encirclage were primigravida and the most common gestation age was between 12-24 weeks. The most common age group was 21-30 years of age. Cervical incompetence and short cervix were the most important risk factor needed for cervical cerclage. Most of the patients delivered at around 34-37 weeks of gestation. 21.4% patient underwent rescue cerclage and delivered between 34-37 weeks of gestation. 57.14% underwent elective cerclage and delivered near term. Elective cerclage has a better outcome of pregnancy to reach near term than rescue cerclage.
The demand of 3D image is growing sharply in the recent trends. Digital image processing performs image processing on digital images by the use of computer algorithms. Strain measurement is a big challenge for 3D images in the field of image processing. This paper proposed a noble algorithm for strain measurement of 3D stereo image using image processing for applications like non-invasive bio-sensing, non-contact measurements of space crafts, faults in pipeline industries, etc. Strain measurement is made possible with the help of filtration techniques and digital image correlation.
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