Tootfinder

CeeDee Lamb new contract will ‘probably be pretty close’ to Justin Jefferson deal https://www.yardbarker.com/nfl/articles/ceedee_lamb_new_contract_will_probably_be_pretty_close_to_justin_jefferson_…

CeeDee Lamb new contract will ‘probably be pretty close’ to Justin Jefferson deal
CeeDee Lamb was absent from Dallas Cowboys’ minicamp as he awaits a new contract fro the team. As far as what he’s looking for, it’s top tier pay as a wide receiver, according to ESPN’s Jeremy Fowler. Justin Jefferson just signed a deal worth $35 million per year with the Vikings and Lamb could see something similar. And at this point, his on-the-field play backs up the claim.  “This one’s interesting because I checked in with somebody who has an understanding of this negotiation a…

I like when news sites are like, "you've hit your limit of free articles. sign up for more!" when in reality I tried to read one article, got busy halfway through, left the browser tab open to read later (and the tab is unloaded to save memory), and I accidentally load the tab a few times while looking for something else. Then when I finally have time to read the article, "you've hit your limit".

Trump refusal to send National Guard on Jan. 6 infuriated top Dem, new video shows
https://thehill.com/homenews/senate/4714732-new-video-shows-schumer-fury-over-trump-not-sending-national-guard-on-jan-6/

A Labelled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and Other Sources about the 2024 Outbreak of Measles
Nirmalya Thakur, Vanessa Su, Mingchen Shao, Kesha A. Patel, Hongseok Jeong, Victoria Knieling, Andrew Brian
https://arxiv.org/abs/2406.07693 https://arxiv.org/pdf/2406.07693
arXiv:2406.07693v1 Announce Type: new
Abstract: The work of this paper presents a dataset that contains the data of 4011 videos about the ongoing outbreak of measles published on 264 websites on the internet between January 1, 2024, and May 31, 2024. The dataset is available at https://dx.doi.org/10.21227/40s8-xf63. These websites primarily include YouTube and TikTok, which account for 48.6% and 15.2% of the videos, respectively. The remainder of the websites include Instagram and Facebook as well as the websites of various global and local news organizations. For each of these videos, the URL of the video, title of the post, description of the post, and the date of publication of the video are presented as separate attributes in the dataset. After developing this dataset, sentiment analysis (using VADER), subjectivity analysis (using TextBlob), and fine-grain sentiment analysis (using DistilRoBERTa-base) of the video titles and video descriptions were performed. This included classifying each video title and video description into (i) one of the sentiment classes i.e. positive, negative, or neutral, (ii) one of the subjectivity classes i.e. highly opinionated, neutral opinionated, or least opinionated, and (iii) one of the fine-grain sentiment classes i.e. fear, surprise, joy, sadness, anger, disgust, or neutral. These results are presented as separate attributes in the dataset for the training and testing of machine learning algorithms for performing sentiment analysis or subjectivity analysis in this field as well as for other applications. Finally, this paper also presents a list of open research questions that may be investigated using this dataset.

Trump refusal to send National Guard on Jan. 6 infuriated top Dem, new video shows
https://thehill.com/homenews/senate/4714732-new-video-shows-schumer-fury-over-trump-not-sending-national-guard-on-jan-6/

Low-cost wind turbine aeroacoustic predictions using actuator lines
Laura Botero-Bolivar, Oscar A Marino, Cornelis H. Venner, Leandro D. de Santana, Esteban Ferrer
https://arxiv.org/abs/2406.05415

Low-cost wind turbine aeroacoustic predictions using actuator lines
Aerodynamic noise is a limitation for further exploitation of wind energy resources. As this type of noise is caused by the interaction of turbulent flow with the airframe, a detailed resolution of the flow is necessary to obtain an accurate prediction of the far-field noise. Computational fluid dynamic (CFD) solvers simulate the flow field but only at a high computational cost, which is much increased when the acoustic field is resolved. Therefore, wind turbine noise predictions using numerica…

Someone's going to be in big trouble for using the word "elderly" - National Zero
https://nationalzero.com/2024/06/10/someones-going-to-be-in-big-trouble-for-using-the-word-elderly/