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Inouye Solar Telescope DKIST will revolutionize our ability to measure, understand, and model the basic physical processes that control the structure and dynamics of the Sun and its atmosphere. The first-light DKIST images, released publicly on 29 January , only hint at the extraordinary capabilities that will accompany full commissioning of the five facility instruments. With this Critical Science Plan CSP we attempt to anticipate some of what those capabilities will enable, providing a snapshot of some of the scientific pursuits that the DKIST hopes to engage as start-of-operations nears. Introduction The primary goal of the Daniel K. Inouye Solar Telescope DKIST is to address long-standing problems in solar physics, such as the operation of the solar dynamo and the heating and acceleration of the solar chromospheric and coronal plasma, but its scientific impact will extend well beyond the Sun. DKIST data will contribute to our understanding of fundamental physical processes, such as the generation and annihilation of magnetic field in plasmas of very high electrical conductivity, the role of turbulence under extreme conditions not achievable in terrestrial laboratories, and the quantum mechanical underpinnings of polarization spectroscopy essential to the interpretation of a broad range of astrophysical observations.Bhowmik Title Sequence - assured
Bollywood Rewind Bandini: Of affection, crime and punishment 5 days ago Working with Nadeem, Shravan belted out quite a few hits within the 90s. At the moment, India is dealing with the second wave of Covid The nationwide tally of COVID instances mounted to 1,50,61, with a document single-day rise of two,73, coronavirus infections. India additionally reported 1, deaths in a brand new document excessive as we speak. Maharashtra, Delhi and Karnataka noticed the largest single-day surge within the final 24 hours. Bhowmik Title SequenceHas: Bhowmik Title Sequence
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Ankit Murarka Balaji Radhakrishnan Sushma Ravichandran Given the current social distancing regulations across the world, social media has become the primary mode of communication for most people. This has isolated millions suffering from mental illnesses who are unable to receive assistance in person.
They have increasingly turned to online platforms to express themselves and to look for guidance in dealing with their illnesses. Keeping this in mind, we propose a solution to classify mental illness posts on social media thereby enabling users to seek appropriate help.
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In addition, we share a new high-quality dataset1 to drive research on this topic. The dataset consists of the title and post texts from Tigle and 13 subreddits each associated with one of the five mental illnesses listed above or a None class indicating the absence of any mental illness.
Our model is trained on Reddit data but is easily extensible to other social media platforms as well as demonstrated in our results. We also demonstrate how we stress test our model using behavioral testing. Our dataset is publicly available and we encourage researchers to utilize this to advance research in this arena. We hope that this work contributes to the public health system by automating some of the detection Bhowmik Title Sequence and alerting relevant authorities about users that need immediate help.]
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