X’s dominance ‘over’ as Bluesk...
“On today’s X, #AcademicTwitter is dead. And most scholars in the world do not want to be active on what the platform has become.”
I spoke to @TimesHigherEd about where scholars have gone. To Bluesky, Threads, Mastodon and ....
https://www.timeshighereducation.com/news/xs-dominance-over-bluesky-becomes-new-hub-research
As we enter a new year and an uncertain future, it’s clear that some of us need to read more than others, but we all need to read for relaxation, inspiration and knowledge. I hope you’ll make it a goal to carve out some time to read, and I’m here to give you my top 100 books that I am excited about this year. I scour catalogs and websites, search my favorite authors, keep up with socials and try to get through as much email as I can to find the gems that I know Ms. readers will love and
This is the one of the main things I brought up about starter packs when they were wildly popular in the beginning as people rebuilt their social networks 🫣 #AcademicChatter
Hopefully people are more cognisant of this fact as we build #SciSky 🧪 with the lessons we've learned from #AcademicTwitter!
Thrilled to share my 1st paper in @nature.portfolio npj Biofilms & Microbiomes! We show how Parallel Factor Analysis reveals microbial subcommunities & pathways in gingivitis. Thanks to my coauthors!
Gingivitis—the inflammation of the gums—is a reversible stage of periodontal disease. It is caused by dental plaque formation due to poor oral hygiene. However, gingivitis susceptibility involves a complex set of interactions between the oral microbiome, oral metabolome and the host. In this study, we investigated the dynamics of the oral microbiome and its interactions with the salivary metabolome during experimental gingivitis in a cohort of 41 systemically healthy participants. We use Parallel Factor Analysis (PARAFAC), which is a multi-way generalization of Principal Component Analysis (PCA) that can model the variability in the response due to subjects, variables and time. Using the modelled responses, we identified microbial subcommunities with similar dynamics that connect to the magnitude of the gingivitis response. By performing high level integration of the predicted metabolic functions of the microbiome and salivary metabolome, we identified pathways of interest that describe the changing proportions of Gram-positive and Gram-negative microbiota, variation in anaerobic bacteria, biofilm formation and virulence.
Excited to share my debut research paper, "WHOIS Data Redaction & its Impact on Unsolicited Emails," now published on @ieee_bot #Access and available on #IEEEXplore! 📊
👉 https://doi.org/10.1109/ACCESS.2024.3511269
#domains #GDPR #ICANN #WHOIS #IEEE #AcademicTwitter #PhdChat #Research #OpenAccess
#academictwitter #AcademicChatter Did you all note this instance mastodon.academy! The reasons to stay on Xitter are getting less and less!!Thanks @brembs
(edited to make clear I address fellow academics)
I'm glad to see how #AcademicTwitter seems to be reuniting on #bluesky these days.
I decided to remain on @Mastodon for the time being, as I believe its truly decentralized design is the more sustainable approach.
Yet, I will be using the opt-in interoperability solution provided by @bsky.brid.gy. I hope many others will do so, too.