2,604 research outputs found

    Systematic investigation of trench filling with photo materials

    No full text
    Author Amal Dev Raj VilayilMasterarbeit Universität Linz 2022Arbeit auf den öffentlichen PCs in den Bibliotheken der JKU+Medizin abrufba

    open-AIMS/ADRIA.jl: v0.7.0-dev.1

    No full text
    What's Changed Update use of functions due to new import approach by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/334 Migrate from SnoopPrecompile to PrecompileTools by @timholy in https://github.com/open-AIMS/ADRIA.jl/pull/335 Add planning horizon factor by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/336 Replace use of area attribute/field with call to function site_area() to ensure correct values by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/337 Remove reference to defunct fields when making factors constant by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/338 Make use of planning horizon in sims by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/340 Changes to support running ADRIA with external model (ReefMod Engine) data by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/341 CompatHelper: add new compat entry for SimpleWeightedGraphs at version 1, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/343 CompatHelper: add new compat entry for OrderedCollections at version 1, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/344 CompatHelper: bump compat for StatsBase to 0.34, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/345 Split ADRIA-mod domain definition by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/346 Add GBR zones by priority by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/347 Exit with error if given path is not a directory by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/350 Make Aviz into an extension package by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/349 CompatHelper: add new compat entry for Reexport at version 1, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/351 CompatHelper: add new compat entry for ImageMagick at version 1, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/352 Update bleaching mortality model to align with published paper by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/354 Add option to use JMcDM functions in ADRIA site selection by @Rosejoycrocker in https://github.com/open-AIMS/ADRIA.jl/pull/348 Address mismatched number of elements under certain conditions by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/358 Remove Copras method due to erroring by @Rosejoycrocker in https://github.com/open-AIMS/ADRIA.jl/pull/359 CompatHelper: bump compat for HypothesisTests to 0.11, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/363 CompatHelper: add new compat entry for JMcDM at version 0.7, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/362 Update documentation by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/361 Scenario discovery docs by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/364 Fix: Metric errors when applied to a single simulation by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/365 Address ranking errors in mcda outputs by @Rosejoycrocker in https://github.com/open-AIMS/ADRIA.jl/pull/367 Add temporal clustering by @Zapiano in https://github.com/open-AIMS/ADRIA.jl/pull/370 Fix incorrect type check by @Zapiano in https://github.com/open-AIMS/ADRIA.jl/pull/371 CompatHelper: add new compat entry for Clustering at version 0.15, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/372 CompatHelper: bump compat for Zarr to 0.9, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/373 Update time series clustering and add visualization functionality by @Zapiano in https://github.com/open-AIMS/ADRIA.jl/pull/374 Update scenario viz by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/355 Refactor run_scenarios to improve when running multiple rcps by @Zapiano in https://github.com/open-AIMS/ADRIA.jl/pull/376 Bump version number and add new author by @Zapiano in https://github.com/open-AIMS/ADRIA.jl/pull/378 Update docstrings for growth function by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/375 Add map visualization - displays k-area by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/356 Consider near-term conditions with greater weight than far-future conditions by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/387 Changes to number of species in ADRIA by @Rosejoycrocker in https://github.com/open-AIMS/ADRIA.jl/pull/380 Temporal clustering for spatial data by @Zapiano in https://github.com/open-AIMS/ADRIA.jl/pull/382 New Contributors @timholy made their first contribution in https://github.com/open-AIMS/ADRIA.jl/pull/335 @Zapiano made their first contribution in https://github.com/open-AIMS/ADRIA.jl/pull/370 Full Changelog: https://github.com/open-AIMS/ADRIA.jl/compare/v0.5.0...v0.7.0-dev.

    The Cryosphere Discussions

    No full text
    www.geosci-model-dev-discuss.net/6/3003/2013/ doi:10.5194/gmdd-6-3003-2013 © Author(s) 2013. CC Attribution 3.0 License

    System Safety in Healthcare: The Right and Wrong Ways to Perform Failure Mode and Effects Analysis (FMEA)

    No full text
    The objective of performing Failure Mode and Effects Analysis (FMEA) is to use sound risk management principles, coupled with innovative solutions that can assure high return on investment (ROI). Quality Guru Philip Crosby wrote in his book, Quality is Free, that quality is free if you do the right things at the right time. Essentially, the savings from avoiding fixes, process changes and lawsuits are much higher than the cost of doing things right. The principles of sound risk management, experienced by this paper’s co-author Dev Raheja as an international engineering management consultant over 30 years, include: Identifying risks Assessing risks Mitigating risks Orchestrating risk management Aiming at high ROI without compromising safet

    A role for SUMO modification in transcriptional repression and activation

    Get PDF
    Since the discovery of the SUMO (small ubiquitin-related modifier) family of proteins just over a decade ago, a plethora of substrates have been uncovered including many regulators of transcription. Conjugation of SUMO to target proteins has generally been considered as a repressive modification. However, there are now a growing number of examples where SUMOylation has been shown to activate transcription. Here, we discuss whether there is something intrinsically repressive about SUMOylation, or if the outcome of this modification in the context of transcription will prove to be largely substrate-dependent. We highlight some of the technical challenges that will be faced by attempting to answer this question

    ready4show: Author Literate Programs to Share Insights from Applying the Ready4 Framework

    No full text
    ready4show provides tools for authoring technical documentation, analysis reports and scientific summaries to showcase insights generated by open, modular mental health system models. This release corrects citation information.Matthew Hamilton and Glen Wiesner (2022). ready4show: Author Literate Programs to Share Insights from Applying the Ready4 Framework. Version 0.0.0.9098. Zenodo. https://doi.org/10.5281/zenodo.564456

    Nanostructured Lipid Carriers in Pulmonary Drug Delivery: Progress and Prospects

    No full text
    The potential of nanostructured lipid carriers to improve drug solubility, stability, and controlled release has made them a viable approach for pulmonary drug administration. Combining liquid and solid lipids, these carriers provide distinct benefits over conventional drug delivery methods, including enhanced bioavailability, less systemic adverse effects, and the capacity to encapsulate both hydrophilic and hydrophobic medications. In addition to delivering biologics, macromolecules, and cancer treatments, nanostructured lipid carriers may find use in the treatment of respiratory conditions such as asthma, chronic obstructive pulmonary disease, and pulmonary infections. Notwithstanding their benefits, there are still issues with manufacturing scaling up, getting beyond biological obstacles such mucociliary clearance, and handling safety and regulatory issues. More individualized, targeted care is becoming possible because to recent advancements in the design of nanostructured lipid carriers, such as smart delivery technologies and stimuli-responsive systems. This study emphasizes the potential of nanostructured lipid carriers to transform the treatment of respiratory disorders and enhance patient outcomes by highlighting their present advancements, difficulties, and future opportunities in pulmonary medication delivery
    corecore