20,140 research outputs found

    mj-will/nessai-models: v0.5.0

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    <h2>What's Changed</h2> <ul> <li>Update build and CI by @mj-will in https://github.com/mj-will/nessai-models/pull/34</li> <li>Add SlabSpike model by @johnveitch in https://github.com/mj-will/nessai-models/pull/33</li> <li>BLD: use dash in name instead of underscore by @mj-will in https://github.com/mj-will/nessai-models/pull/35</li> <li>Update docs by @mj-will in https://github.com/mj-will/nessai-models/pull/36</li> </ul> <h2>New Contributors</h2> <ul> <li>@johnveitch made their first contribution in https://github.com/mj-will/nessai-models/pull/33</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/mj-will/nessai-models/compare/v0.4.0...v0.5.0</p&gt

    mj-will/nessai: v0.10.0

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    <p>Release of nessai v0.10.0.</p> <p>This release includes a few new minor features, many of these that were implemented to enable easier integration with <a href="https://pycbc.org/">PyCBC</a>. It also fixes some minor bugs that should not impact existing results. For full details, see the relevant sections below and the <a href="https://github.com/mj-will/nessai/compare/v0.9.1...v0.10.0">full changelog</a>.</p> <p><strong>Important</strong> References to <code>dZ</code> have been changes to <code>dlogZ</code>, this is consistent with what is used by other samplers. This change is purely cosmetic and there have been no changes to how the stopping criterion is computed.</p> <h3>Added</h3> <ul> <li><code>birth_log_likelihoods</code> to <code>NestedSampler</code> and <code>logL_birth</code> to the result dictionary (<a href="https://github.com/mj-will/nessai/pull/318">#318</a>)</li> <li>Support for non-vectorised log-prior functions (<a href="https://github.com/mj-will/nessai/pull/330">#330</a>)</li> <li>Add the live points to the trace plot for the standard nested sampler (<a href="https://github.com/mj-will/nessai/pull/334">#334</a>)</li> <li>Add an option to resume from a pickle object rather than a resume file (<a href="https://github.com/mj-will/nessai/pull/337">#337</a>)</li> </ul> <h3>Changed</h3> <ul> <li>Nested samples are now stored as an array in the result object rather than a dictionary (<a href="https://github.com/mj-will/nessai/pull/318">#318</a>)</li> <li>Reduce the size of importance nested sampling checkpoints (<a href="https://github.com/mj-will/nessai/pull/327">#327</a>)</li> <li>Rename <code>nessai.utils.bilbyutils</code> to <code>nessai.utils.settings</code> (<a href="https://github.com/mj-will/nessai/pull/332">#332</a>)</li> <li>Changed name of <code>dZ</code> to <code>dlogZ</code>, this does not change how the stopping criterion is calculated (<a href="https://github.com/mj-will/nessai/pull/333">#333</a>)</li> </ul> <h3>Fixed</h3> <ul> <li>Fix a bug with the prior bounds that occurred when <code>bounds</code> and <code>names</code> had different orders (<a href="https://github.com/mj-will/nessai/pull/329">#329</a>)</li> <li>Fix a bug with <code>close_pool</code> that lead to the pool being closed irrespective of the value (<a href="https://github.com/mj-will/nessai/pull/331">#331</a>)</li> </ul> <h3>Deprecated</h3> <ul> <li><code>nessai.utils.bilbyutils</code> is deprecated in favour on <code>nessai.utils.settings</code> and will be removed in a future release (<a href="https://github.com/mj-will/nessai/pull/332">#332</a>)</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/mj-will/nessai/compare/v0.9.1...v0.10.0</p&gt

    mj-will/nessai: v0.10.1

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    <p>Release of nessai v0.10.1.</p> <p>This is a bugfix release and does not introduce any breaking changes.</p> <p>This release addresses a bug introduced in <a href="https://github.com/mj-will/nessai/releases/tag/v0.10.0">v0.10.0</a> that caused significant slowdowns in bilby analyses. We recommend that users using bilby with nessai v0.10.0 upgrade as soon as possible.</p> <h2>Changes</h2> <p><strong>Fixed</strong></p> <ul> <li>Relax tolerance used when checking if the log-prior is vectorised such that bilby priors are treated as vectorised (<a href="https://github.com/mj-will/nessai/pull/343">#343</a>)</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/mj-will/nessai/compare/v0.10.0...v0.10.1</p&gt

    mj-will/nessai: v0.12.0a0

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    <p>This is an alpha release of v0.12.0 of nessai.</p> <p>This release is not intended for production use, and the changes here are not considered final.</p> <p>The main changes in this pre-release are improvements to the importance nested sampler, most notably:</p> <ul> <li>final i.i.d samples can now be drawn during sampling rather than post sampling,</li> <li>the sampler no longer requires the <code>to_unit_hypercube</code> method for sampling.</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/mj-will/nessai/compare/v0.11.0...v0.12.0a0</p&gt

    mj-will/nessai: v0.12.0

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    <p>Release of nessai v0.12.0</p> <p>This release reworks large parts of the importance nested sampler to enable drawing i.i.d samples during sampling and remove the requirement for the <code>to_unit_hypercube</code> method.</p> <p>The high-level API remains unchanged but the APIs for the <code>ImportanceNestedSampler</code> and <code>ImportanceFlowProposal</code> classes have changed. Existing runs of the importance nested sampler cannot be resumed with this version.</p> <h2>Summary of changes</h2> <ul> <li>Explicitly support Python 3.12 (worked previously but was not tested)</li> <li>Rework the importance nested sampler to support drawing i.i.d samples live and no longer require the <code>to_unit_hypercube</code> method</li> <li>Changes to the importance nested sampler defaults</li> <li>Standardize how sampling history is stored</li> <li>Runs are now always seeded (randomly if a seed is not specified)</li> <li>Fix two minor plotting bugs</li> <li>Remove deprecated <code>max_threads</code> argument.</li> </ul> <p><a href="https://github.com/mj-will/nessai/blob/v0.12.0/CHANGELOG.md"><strong>Full Changelog</strong></a></p&gt

    Practical electronic auction scheme with strong anonymity and bidding privacy

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    [[abstract]]In 2003, Chang and Chang proposed an efficient and anonymous auction protocol with freewheeling bids. They claimed that their scheme could ensure the bidders' anonymity and secure confidentiality. Later, Jiang et al. pointed out that their scheme could not withstand the man-in-the-middle attacks; during this time, Jiang et al. proposed an improved scheme based on the scheme by Chang and Chang. In 2006, Chang and Chang proposed an anonymous auction scheme that was much more efficient than the above mentioned schemes. However, all of these three schemes were unable to achieve strong anonymity, bidding privacy, and secret bidding prices for sealed-bids. This article proposes a new scheme to resolve the above problems in which two managers and zero knowledge proof are used. The proposed scheme can be widely applied in any sensitive auction (e.g., auctions of cosmetics, medical services, etc.). Moreover, the proposed scheme also satisfies the following requirements: (1) bidding privacy, (2) strong anonymity, (3) secret bidding prices, (4) unforgeability, (5) verifiability, (6) non-repudiation, (7) traceability, (8) one-time registration and (9) easy revocation. (C) 2011 Elsevier Inc. All rights reserved.[[note]]SC

    Fabbisogni energetici per edifici caratterizzanti il terziario in Italia: aspetti termici ed illuminotecnici

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    Il presente lavoro verte sull'individuazione di benchmark di fabbisogno energetico per edifici di riferimento con destinazione d'uso non-residenziale. In particolare, si intende fornire profili tipo di domanda energetica per l'illuminazione artificiale, al fine di valutarne l'effetto sui profili di fabbisogno di energia per la climatizzazione estiva ed invernale, nonché di individuare le variabili che maggiormente incidono sulla loro determinazione. Per giungere a questi risultati, ci si avvale dell'uso di programmi informatici di simulazione dinamica riconosciuti ed impiegati a livello scientifico, in ambito europeo ed extraeuropeo (Energy Plus). La ricerca viene condotta sotto vari aspetti: architettonico, energetico e ambientale. Il primo obiettivo, partendo dalle indicazioni bibliografiche, legislative e normative, è quello di caratterizzare in modo univoco gli edifici di riferimento per le varie destinazioni d'uso oggetto di analisi: edifici per l'istruzione, ed edifici terziari. Gli edifici di riferimento intendono costituire archetipi rappresentativi del patrimonio edilizio italiano. Il secondo obiettivo è di tipo energetico: si intende definire profili tipo di domanda energetica per l'illuminazione artificiale degli ambienti. Si intendono inoltre valutare contestualmente i fabbisogni energetici netti per il riscaldamento e il raffrescamento degli ambienti. L'obiettivo finale è riuscire a determinare le migliori soluzioni progettuali per la minimizzazione del fabbisogno di energia connesso all'illuminazione, in relazione alle destinazioni d'uso dei differenti edifici, nonché le variabili che più incidono per indirizzare al meglio le attenzioni progettuali in caso di nuova realizzazione. Il presente lavoro, dopo un primo inquadramento generale in cui si delinea quello che è lo stato dell'arte della valutazione dei fabbisogni energetici e della ricerca scientifica in materia di illuminazione artificiale di ambienti non residenziali, passa poi ad indagare il significato di archetipo e a definire degli archetipi edilizi per il patrimonio immobiliare costruito a destinazione d'uso scolastica e terziaria. Successivamente vengono descritti i modelli di calcolo impiegati e sono dettagliati i dati di input impiegati per la loro definizione. Sono infine esplicati i risultati ottenuti, con individuazione dei valori di benchmark energetico per gli archetipi edilizi scolastici e terziari, e con l'analisi di quelle che sono le grandezze maggiormente influenti sul fabbisogno energetico per illuminazion

    Making a better organic-inorganic composite electrolyte to enhance the cycle life of lithium-sulfur batteries

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    A new methodology for resolving the long-standing obstacles of Li-S batteries by the synthesis of a composite gel polymer electrolyte with a unique internal structure is disclosed in this paper. The Li-S cells prepared using this novel electrolyte system exhibit high discharge capacities (1140 mA h g(-1) during the 1st cycle and reversible capacity of 970 mA h g(-1) at the 100th cycle) and improved cycle life.open1166sciescopu

    <i>Mj</i>-TRBP and <i>Mj</i>-eIF6 involvement in antiviral immunity.

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    <p>A: The proliferation of WSSV was enhanced by silencing <i>Mj</i>-TRBP and <i>Mj</i>-eIF6. B: Injection of recombinant TRBP inhibited the proliferation of WSSV, whereas injection of TRBP fragments did not, suggesting the integrity of TRBP is required for its antiviral function.</p

    Self-compression of 4.9 µm pulses to sub-40 fs with 2 mJ energy in Zinc Sulfide

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    Nonlinear self-compression of few-cycle multi-mJ pulses at 4.9 µm in ZnS is presented. 80 fs input pulses are compressed to 37 fs with 2.1 mJ energy at a 1 kHz repetition rate. © 2024 The Author(s
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