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An evolutionary continuum from nucleated dwarf galaxies to star clusters

Systematic studies1–4 have revealed hundreds of ultra-compact dwarf galaxies (UCDs5) in the nearby Universe. With half-light radii rh of approximately 10–100 parsecs and stellar masses M ≈ 106–108 solar masses, UCDs are among the densest known stellar systems6. Although similar in appearance to massive globular clusters7, the detection of extended stellar envelopes4,8,9, complex star formation histories10, elevated mass-to-light ratio11,12 and supermassive black holes13–16 suggest that some UCDs are remnant nuclear star clusters17 of tidally stripped dwarf galaxies18,19, or even ancient compact galaxies20. However, only a few objects have been found in the transient stage of tidal stripping21,22, and this assumed evolutionary path19 has never been fully traced by observations. Here we show that 106 galaxies in the Virgo cluster have morphologies that are intermediate between normal, nucleated dwarf galaxies and single-component UCD ....

United States , Observatorio Astronomico , Burrell Schmidt , Virgo Cluster , Generation Virgo Cluster , Generation Virgo Cluster Survey , Fornax Cluster , Max Properties , Virgo Cluster Survey , It Nuclear , Next Generation Virgo Cluster , Milky Way Sized , Cluster Survey , Canada France Hawaii Telescope , Hubble Space , Next Generation Virgo Cluster Survey , Atlas De Galaxias Australes , Open Source Softw ,

A high-performance neuroprosthesis for speech decoding and avatar control

Speech neuroprostheses have the potential to restore communication to people living with paralysis, but naturalistic speed and expressivity are elusive1. Here we use high-density surface recordings of the speech cortex in a clinical-trial participant with severe limb and vocal paralysis to achieve high-performance real-time decoding across three complementary speech-related output modalities: text, speech audio and facial-avatar animation. We trained and evaluated deep-learning models using neural data collected as the participant attempted to silently speak sentences. For text, we demonstrate accurate and rapid large-vocabulary decoding with a median rate of 78 words per minute and median word error rate of 25%. For speech audio, we demonstrate intelligible and rapid speech synthesis and personalization to the participant’s pre-injury voice. For facial-avatar animation, we demonstrate the control of virtual orofacial movements for speech and non-speech communic ....

United States , Paulh Brookes , Jd Organization , International Conference On Learning Representations , Pacific Rim Conference On Communications Computers , International Conference On Machine , Virtual User Forum , Curran Associates , Association For Computational Linguistics , International Conference On Machine Learning Vol , International Conference On Neural Information Processing Systems , Workshop At International Conference On Learning Representations , International Conference On Acoustics , International Brain , Information Processing Association Annual Summit , Brain Computer Interface , Alternative Communication , International Conference , New Era , Robust Speech Recognition , Exploiting Deep , Neural Eng , Audio Speech , Signal Processing , Amazon Mechanical , Implicit Communication ,

Disparities in Internet Access and COVID-19 Vaccination in New York City

Disparities in Internet Access and COVID-19 Vaccination in New York City
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New York , United States , Breezy Point , City Of New York , Columbia University , Battery Park City , Port Morris , Isaach Michaels , Zehra Biscale , Sylviaj Pirani , Alvaro Carrascal , Department Of Sociomedical Sciences , Public Health Training Center , Racial Ethn Health Disparities , New York Times , Columbia University Mailman School Of Public Health , Mental Hygiene Neighborhood Health Action Centers , Technology Officer , University At Albany School Of Public Health , York City Department Of Health , Department Of Epidemiology , American Community , York State Department Of Health , R Foundation For Statistical Computing , Internet Access , Prev Chronic Dis ,

Systematic mapping of global research on climate and health: a machine learning review

Systematic mapping of global research on climate and health: a machine learning review
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France General , Intergovernmental Panel On Climate Change , Intergovernmental Panel On Climate , Commonwealth Development Office , World Bank , Iecet Fund Electr , Science Core Collection , Open Res , Intergovernmental Panel , Climate Change , Mach Learn Res , Open Source Softw , Interdiscip Rev Clim Change , Scikit Learn , Fund Electr , இடை அரசு குழு ஆன் காலநிலை மாற்றம் , இடை அரசு குழு ஆன் காலநிலை , காமன்வெல்த் வளர்ச்சி அலுவலகம் , உலகம் வங்கி , அறிவியல் கோர் சேகரிப்பு , திறந்த ரெஸ் , இடை அரசு குழு , காலநிலை மாற்றம் ,

Why Clinical Laboratorians Should Embrace the R Programming Language

Like many other industries, clinical laboratories are becoming more reliant on data analytics. Clinical laboratories generate, process, and store transactional data with high quality and efficiency. These data are required for patient care and quality assurance activities and increasingly are used for operational decisions. To analyze all these data, laboratories often rely on commercial spreadsheets or other specialized software applications. However, these programs can be functionally limited and often are not suitable for more complex statistical analyses and visualizations or for analysis of large or high-dimensional datasets. Importantly, the analysis and visualization workflows in these programs have limited reproducibility and transparency. ....

University Of Pennsylvania , United States , Hadley Wickham , Roberth Lurie , Shannon Haymond , A Perfect Fit For Clinical Laboratory Data , Michael Palmieri Laboratory For Metabolic , R Archive Network , Perelman School Of Medicine , Northwestern University Feinberg School Of Medicine , Community Of Users , What Are Its , Microsoft Excel , Key Attributes , Broad Based Community , Comprehensiver Archive Network , Customr Based , Perfect Fit , Clinical Laboratory , Stack Overflow , Data Science , Northwestern University Feinberg School , Perelman School , Michael Palmieri Laboratory , Advanced Diagnostics , Incorrect Implementation ,