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4,377 result(s) for "Stern, D."
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OpenMM 7: Rapid development of high performance algorithms for molecular dynamics
OpenMM is a molecular dynamics simulation toolkit with a unique focus on extensibility. It allows users to easily add new features, including forces with novel functional forms, new integration algorithms, and new simulation protocols. Those features automatically work on all supported hardware types (including both CPUs and GPUs) and perform well on all of them. In many cases they require minimal coding, just a mathematical description of the desired function. They also require no modification to OpenMM itself and can be distributed independently of OpenMM. This makes it an ideal tool for researchers developing new simulation methods, and also allows those new methods to be immediately available to the larger community.
Germany’s digital health reforms in the COVID-19 era: lessons and opportunities for other countries
Reimbursement is a key challenge for many new digital health solutions, whose importance and value have been highlighted and expanded by the current COVID-19 pandemic. Germany’s new Digital Healthcare Act (Digitale–Versorgung–Gesetz or DVG) entitles all individuals covered by statutory health insurance to reimbursement for certain digital health applications (i.e., insurers will pay for their use). Since Germany, like the United States (US), is a multi-payer health care system, the new Act provides a particularly interesting case study for US policymakers. We first provide an overview of the new German DVG and outline the landscape for reimbursement of digital health solutions in the US, including recent changes to policies governing telehealth during the COVID-19 pandemic. We then discuss challenges and unanswered questions raised by the DVG, ranging from the limited scope of the Act to privacy issues. Lastly, we highlight early lessons and opportunities for other countries.
The Thing. Project Pegasus
\"Project Pegasus hired the blue-eyed Thing as its security guard - but what's the point if the base is already filled with super villains? It's the classic saga, featuring all yoru favorites - including Hercules and Thundra, Deathlok and Doctor Strange, Captain America and Marvel, Man-Thing and ... Classic Thing? Watch as bashful Benjy faces action in Olympus and the Nexus, and from Hollywood to Yancy Street! Gasp as three heroes debut new identities and thrill to all the fun of super heroes poler night! Plus: will lending a hand protecting the facility from the Lava Men earn Spider-Man a spot on the Avengers? Or will a super villain riot lead to pandemonium at Project Pegasus?\"--Page 4 of cover.
A repeating fast radio burst associated with a persistent radio source
The dispersive sweep of fast radio bursts (FRBs) has been used to probe the ionized baryon content of the intergalactic medium 1 , which is assumed to dominate the total extragalactic dispersion. Although the host-galaxy contributions to the dispersion measure appear to be small for most FRBs 2 , in at least one case there is evidence for an extreme magneto-ionic local environment 3 , 4 and a compact persistent radio source 5 . Here we report the detection and localization of the repeating FRB 20190520B, which is co-located with a compact, persistent radio source and associated with a dwarf host galaxy of high specific-star-formation rate at a redshift of 0.241 ± 0.001. The estimated host-galaxy dispersion measure of approximately 903 − 111 + 72 parsecs per cubic centimetre, which is nearly an order of magnitude higher than the average of FRB host galaxies 2 , 6 , far exceeds the dispersion-measure contribution of the intergalactic medium. Caution is thus warranted in inferring redshifts for FRBs without accurate host-galaxy identifications. A repeating fast radio burst co-located with a persistent radio source and associated with a dwarf host galaxy of a high star-formation rate has been detected.
Guardians of the galaxy : tomorrow's heroes omnibus
\"A thousand years from now, Vance Astro, Yondu, Martinex and Charlie-27 will rise to free the enslaved planet Earth -- as the Guardians of the Galaxy! Soon, Captain America, Doctor Strange, the Thing, the Hulk and more join the time-spanning heroes in the war to reclaim the future! Threats arise from other worlds -- as well as new allies Nikki and the uncanny Starhawk! But when Guardians and Avengers join forces in the present day, will even the combined might of two millennia be enough to stop the deranged demigod Michael Korvac? Plus: the Silver Surfer, Ms. Marvel, Spider-Man and Adam Warlock!\"-- Amazon.com description.
The multiple merger assembly of a hyperluminous obscured quasar at redshift 4.6
Massive galaxies in the early Universe host supermassive black holes at their centers. When material falls toward the black hole, it releases energy and is observed as a quasar. Astronomers found a population of powerful distant quasars that are obscured by dust, but it has been unclear how they are formed. Díaz-Santos et al. observed the dust-obscured quasar WISE J224607.56-052634.9 at submillimeter wavelengths, finding three small companion galaxies connected to the quasar by bridges of gas and dust. They inferred that galaxy mergers can provide both the raw material to power a quasar and large quantities of dust to obscure it. Science , this issue p. 1034 Galaxy mergers can provide the raw materials to drive powerful dust-observed quasars in the early Universe. Galaxy mergers and gas accretion from the cosmic web drove the growth of galaxies and their central black holes at early epochs. We report spectroscopic imaging of a multiple merger event in the most luminous known galaxy, WISE J224607.56−052634.9 (W2246−0526), a dust-obscured quasar at redshift 4.6, 1.3 billion years after the Big Bang. Far-infrared dust continuum observations show three galaxy companions around W2246−0526 with disturbed morphologies, connected by streams of dust likely produced by the dynamical interaction. The detection of tidal dusty bridges shows that W2246−0526 is accreting its neighbors, suggesting that merger activity may be a dominant mechanism through which the most luminous galaxies simultaneously obscure and feed their central supermassive black holes.
Bridging known and unknown dynamics by transformer-based machine-learning inference from sparse observations
In applications, an anticipated issue is where the system of interest has never been encountered before and sparse observations can be made only once. Can the dynamics be faithfully reconstructed? We address this challenge by developing a hybrid transformer and reservoir-computing scheme. The transformer is trained without using data from the target system, but with essentially unlimited synthetic data from known chaotic systems. The trained transformer is then tested with the sparse data from the target system, and its output is further fed into a reservoir computer for predicting its long-term dynamics or the attractor. The proposed hybrid machine-learning framework is tested using various prototypical nonlinear systems, demonstrating that the dynamics can be faithfully reconstructed from reasonably sparse data. The framework provides a paradigm of reconstructing complex and nonlinear dynamics in the situation where training data do not exist and the observations are random and sparse. In experimental situations, random and sparse observations hinder understanding of the underlying complex dynamical system. The authors introduce a hybrid, transformer-based machine-learning framework to reconstruct the dynamics of new, unseen systems from sparse observations by training on a diverse set of synthetic systems.