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CSPAN2 World Health Organization Coronavirus News Conference July 13, 2024

Welcome to the Health Organization press briefing on covid19. We have with us as always the w. H. O. Director general ted, mike ryan, executive director and doctor maria, they take the lead for covid19. Doctor will begin with an update, then when he has finished his opening remarks, i will open the meeting to questions. If youre connected by zoom, please use the raise hand icon to get into the queue to ask her questions, if you connect by phone please hit 9 to indicate you want to ask for questions. I will apologize right now to all those who miss out. We have more than 260 people on the line already connecting and asking questions. So we have to restrict this briefing to announce with our speakers who are meeting the response and can get back to the other demands of their time. I will now hand over to doctor. Thank you. Good morning, good afternoon and good evening wherever you are. The pandemic continues to take a massive t ....

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FBC Bulls Bears July 13, 2024

This play in the 2020 race . This is bulls bears. Im david asman. Joining me, john layfield, trish regan, Gary Kaltbaum and robert wolf. Trumps visit to pittsburgh marks his 14th visit to the state since taking office, surprising win in pennsylvania was key to winning the presidency in 2016. President trumps hoping he c20. So will his hard sell of fracking and Energy Independence help him keep this historically blue state in his corner . Trish, what do you think . Yeah, i think it does. The reason for that is because dont forget who the pennsylvania voters are. I mean you think about democrats historically and robert and i have talked about this before because i grew up in an Irish Catholic family where you were a democrat just like you were irish and just like you were catholic; right . But a lot of those people bec ....

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"An Empirical Comparison of Community Detection Techniques for Amazon D" by Chaitali Choudhary, Inder Singh et al.

Detecting clusters or communities in large graphs from the real world, such as the Amazon dataset, information networks, and social networks, is of considerable interest. Extracting sets of nodes connected to the goal function and “appearing” to be appropriate communities for the application of interest requires approximation methods or heuristics. Several network community identification approaches are analyzed and compared to determine their relative performance in this research. We investigate a variety of well-known performance metrics used to formalize the idea of a good community and several approximation strategies intended to optimize these objective functions. Most widely used community detection algorithms include: Louvain, Girvan-Newman (GNM), Label Propagation (LPA), and Clauset Newman (CNM). Researchers proved that louvain gives the best overall performance in terms of modularity as well as F1-Score. This work investigates a dynamic, publicly accessible Amazon item dat ....

Clauset Newman , Label Propagation , Amazon Co Purchase Network , Community Detection , Dynamic Networks , Empirical Analysis ,