What's Changed Optimize some vector operations by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/90 Add a way to create a tensor view of a pointer by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/92 Add python bindings by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/87 Update IndexUtils.hpp by @jturney in https://github.com/Einsums/Einsums/pull/95 Einsums Restructuring by @jturney in https://github.com/Einsums/Einsums/pull/97 Fix print. by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/102 Docs: Docs were not deploying by @jturney in https://github.com/Einsums/Einsums/pull/104 Fix performance issues by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/107 Fix parsing bug by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/110 Fix performance again by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/111 Fixing docs by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/101 Docs: Tweaks for consistency. by @jturney in https://github.com/Einsums/Einsums/pull/120 Move Design Patterns by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/121 Full Changelog: https://github.com/Einsums/Einsums/compare/v0.6.1...v1.0.0
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Supply, Demand, and the Hidden Costs of Progress
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What's Changed 🔎 type comparison with isinstance by @philippemiron in https://github.com/Cloud-Drift/clouddrift/pull/491 🧹 Update type comparison in ragged.py by @selipot in https://github.com/Cloud-Drift/clouddrift/pull/497 🧹 Update random number generator in gdp1h and gdp6h adapters by @selipot in https://github.com/Cloud-Drift/clouddrift/pull/496 🐛 fix locationtype bug in dataset by @kevinsantana11 in https://github.com/Cloud-Drift/clouddrift/pull/494 Update .zenodo.json by @selipot in https://github.com/Cloud-Drift/clouddrift/pull/498 ++ increment version (v0.40.0) by @kevinsantana11 in https://github.com/Cloud-Drift/clouddrift/pull/499 Full Changelog: https://github.com/Cloud-Drift/clouddrift/compare/v0.39.0...v0.40.0more » « less
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What's Changed Hpc stabilize by @alegresor in https://github.com/QMCSoftware/QMCSoftware/pull/382 Update README.md by @zitterbewegung in https://github.com/QMCSoftware/QMCSoftware/pull/385 Geometric brownian motion by @larissensium in https://github.com/QMCSoftware/QMCSoftware/pull/392 QMCPy Overhaul by @alegresor in https://github.com/QMCSoftware/QMCSoftware/pull/391 v2.0 by @alegresor in https://github.com/QMCSoftware/QMCSoftware/pull/394 New Contributors @larissensium made their first contribution in https://github.com/QMCSoftware/QMCSoftware/pull/392 Full Changelog: https://github.com/QMCSoftware/QMCSoftware/compare/v1.6.1...v2.0more » « less
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Dyer, Kelly A (Ed.)Genetic networks are surprisingly robust to perturbations caused by new mutations. This robustness is conferred in part by compensation for loss of a gene’s activity by genes with overlapping functions, such as paralogs. Compensation occurs passively when the normal activity of one paralog can compensate for the loss of the other, or actively when a change in one paralog’s expression, localization, or activity is required to compensate for loss of the other. The mechanisms of active compensation remain poorly understood in most cases. Here we investigate active compensation for the loss or reduction in expression of theSaccharomyces cerevisiaegeneTDH3by its paralogTDH2.TDH2is upregulated in a dose-dependent manner in response to reductions inTDH3by a mechanism requiring the shared transcriptional regulators Gcr1p and Rap1p.TDH1, a second and more distantly related paralog ofTDH3, has diverged in its regulation and is upregulated by another mechanism. Other glycolytic genes regulated by Rap1p and Gcr1p show changes in expression similar toTDH2, suggesting that the active compensation byTDH3paralogs is part of a broader homeostatic response mediated by shared transcriptional regulators.more » « less
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We establish a version of the fractal uncertainty principle, obtained by Bourgain and Dyatlov in 2016, in higher dimensions. The Fourier support is limited to sets Y⊂ℝd which can be covered by finitely many products of δ-regular sets in one dimension, but relative to arbitrary axes. Our results remain true if Y is distorted by diffeomorphisms. Our method combines the original approach by Bourgain and Dyatlov, in the more quantitative 2017 rendition by Jin and Zhang, with Cartan set techniques.more » « less
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