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Multi-objective optimization design for a 15 MW semisubmersible floating offshore wind turbine using evolutionary algorithm
This paper introduces a framework designed to optimize the configuration of a 15 MW floating offshore wind turbine (FOWT) with a focus on the cost. The proposed framework employs a multi-objective evolutionary algorithm, integrating frequency domain (FD) simulations with equilibrium analysis to assess the responses of the floating platform and its mooring system. The objective function of the optimization includes the steel structural mass of the floating platform, the pitch heeling angle, and the motion response amplitude operator (RAO) peak as determined by the FD simulation. Constraints pertinent to these objective functions, alongside the safety of the mooring system and the dynamic response and parameter settings of the FOWT, are meticulously enforced. The resulting optimized designs exhibit substantial improvements in the steel structural mass and pitch heeling angle compare to the initial design parameters. The reliability of this optimization framework is corroborated through time domain (TD) simulations, which elucidate the effects of the pitch heel angle and motion RAO peaks on the time domain response of the optimized structures. These insights offer reference for the future optimization of floating platforms and mooring systems in the realm of offshore wind energy
ARTIC RSV amplicon sequencing reveals global RSV genotype dynamics
This repository contains the consensus sequences generated for the study "ARTIC RSV amplicon sequencing reveals global RSV genotype dynamics". The fasta sequence headers are in the following format: > Seq_ID | Sequencing_run | Collection_year | Collection_country | internal_or_external | RSV_lineage Only samples sequenced internally at the Royal Infirmary of Edinburgh (int) have a sequencing run detailed.Maloney, D., Fernandes, G., Jasim, S., Williams, T., Namugenyi, S., Carr, M., Meyer, J. R., Sharma, A., Marshal, L., Nunley, B. E., Xie, H., Carvajal, M., Kunerth, H. D., Tanmoy, A., O'Toole, Á., Weixler, A., Lanter, K., Gonzalez, G., Sereewit, J., … Rambaut, A. (2025). ARTIC RSV amplicon sequencing reveals global RSV genotype dynamics [Data set]. Zenodo. https://doi.org/10.5281/zenodo.1558485
Persistent maternal age effects on male offspring fitness traits in a wild mammal population
This repository contains the data for all analyses in our manuscript, Persistent maternal age effects on male offspring fitness traits in a wild mammal. Please see below for data re-use instructions and read the attached README.rtf file for further details. Please contact [email protected] for any more information. The attached files contain data derived from the long term field project monitoring individual Soay sheep on St Kilda and their environment. This is a request to please let us know if you use them. Several people have spent the best part of their careers collecting the data. If you plan to analyse the data, there are a number of reasons why it would be very helpful if you could contact Dan Nussey ([email protected]) before doing so. [NB. If you are interested in analysing the detailed project data in any depth you may find it helpful to have our full relational database rather than the file(s) available here. If so, then we have a simple process for bringing you onto the project as a collaborator.] The data can be subject to change due to updates in the pedigree, merging of records, occasional errors and so on. The data are complex and workers who do not know the study system may benefit from advice when interpreting it. At any one time a number of people within the existing project collaboration are analysing data from this project. Someone else may already be conducting the analysis you have in mind and it is desirable to prevent duplication of effort. In order to maintain funding for the project(s), every few years we have to write proposals for original analyses to funding agencies. It is therefore very helpful for those running the project to know what data analyses are in progress. Individual identifiers may vary relative to other data archives from papers using the individual-level data.Ravindran, S., Delaney, K., Bal, X., Pilkington, J. G., Pemberton, J. M., Moorad, J. A., Froy, H., & Nussey, D. H. (2025). Persistent maternal age effects on male offspring fitness traits in a wild mammal population [Data set]. Zenodo. https://doi.org/10.5281/zenodo.1560849
[CODE] safety-research/safety-tooling: v1.0.0
Initial release What's Changed add all code by @jplhughes in https://github.com/safety-research/safety-tooling/pull/1 add base url by @jplhughes in https://github.com/safety-research/safety-tooling/pull/2 rename core folder by @jplhughes in https://github.com/safety-research/safety-tooling/pull/3 update readme by @jplhughes in https://github.com/safety-research/safety-tooling/pull/6 add openai batch api by @jplhughes in https://github.com/safety-research/safety-tooling/pull/8 Add InferenceAPI Tests and CI Workflow by @devin-ai-integration in https://github.com/safety-research/safety-tooling/pull/5 feat: add new claude-3-5 models from 20241022 by @dpaleka in https://github.com/safety-research/safety-tooling/pull/9 docs: update test running instructions and add submodule docs by @devin-ai-integration in https://github.com/safety-research/safety-tooling/pull/12 Together api by @Wanff in https://github.com/safety-research/safety-tooling/pull/13 Together api finetuning support + refactoring finetuning api by @Wanff in https://github.com/safety-research/safety-tooling/pull/16 Feat/finetune api save id and model by @Wanff in https://github.com/safety-research/safety-tooling/pull/22 Feat/finetune api save id and model by @Wanff in https://github.com/safety-research/safety-tooling/pull/23 Support Comments in SECRETS by @devin-ai-integration in https://github.com/safety-research/safety-tooling/pull/15 Add SAFETYTOOLING_PRINT_PROMPTS by @dpaleka in https://github.com/safety-research/safety-tooling/pull/25 Abhay/misc by @abhay-sheshadri in https://github.com/safety-research/safety-tooling/pull/26 updates to together ai ft script by @jplhughes in https://github.com/safety-research/safety-tooling/pull/17 raise error for hf format by @jplhughes in https://github.com/safety-research/safety-tooling/pull/27 Add redis caching by @dpaleka in https://github.com/safety-research/safety-tooling/pull/24 Added support for vllm hosted models by @abhay-sheshadri in https://github.com/safety-research/safety-tooling/pull/28 wandb & vllm updates by @jplhughes in https://github.com/safety-research/safety-tooling/pull/29 fix: add logprobs of the generated tokens (not top_logprobs) in vllm api by @dpaleka in https://github.com/safety-research/safety-tooling/pull/30 BatchInferenceAPI by @dpaleka in https://github.com/safety-research/safety-tooling/pull/32 Chunking in Batch API by @dpaleka in https://github.com/safety-research/safety-tooling/pull/33 Added support for o1-2024-12-17 and structured outputs by @shahofblah in https://github.com/safety-research/safety-tooling/pull/35 Add new models and equivalences by @devin-ai-integration in https://github.com/safety-research/safety-tooling/pull/37 feat: change anthropic batch polling to hours by @dpaleka in https://github.com/safety-research/safety-tooling/pull/36 Dpo support for oai by @Wanff in https://github.com/safety-research/safety-tooling/pull/42 vllm small fixes by @jplhughes in https://github.com/safety-research/safety-tooling/pull/34 Add microsecond precision to log file name by @dpaleka in https://github.com/safety-research/safety-tooling/pull/46 logprob updates to together ai inference by @jplhughes in https://github.com/safety-research/safety-tooling/pull/44 support multiple completions for VLLM by @andyrdt in https://github.com/safety-research/safety-tooling/pull/47 timeout, new 4o, text normalization by @jplhughes in https://github.com/safety-research/safety-tooling/pull/48 Johnh/bunch of small changes by @jplhughes in https://github.com/safety-research/safety-tooling/pull/49 fix: add redis support for caching by @dpaleka in https://github.com/safety-research/safety-tooling/pull/38 Abhay/support for new models by @abhay-sheshadri in https://github.com/safety-research/safety-tooling/pull/50 fix(readme): update finetuning command path by @JCocola in https://github.com/safety-research/safety-tooling/pull/52 llama 3b and deepseek-r1 on together by @dpaleka in https://github.com/safety-research/safety-tooling/pull/51 improve logging by @Revys17 in https://github.com/safety-research/safety-tooling/pull/56 Feature/non strict kwargs by @jplhughes in https://github.com/safety-research/safety-tooling/pull/57 non strict models by @jplhughes in https://github.com/safety-research/safety-tooling/pull/58 Feature/simplify reqs by @jplhughes in https://github.com/safety-research/safety-tooling/pull/59 move to .env file by @jplhughes in https://github.com/safety-research/safety-tooling/pull/60 feat: add special handling for seed parameter when calling Anthropic models by @dpaleka in https://github.com/safety-research/safety-tooling/pull/63 fix: vars from .env should override globally set vars, like SECRETS did by @dpaleka in https://github.com/safety-research/safety-tooling/pull/64 fix bitrot in README.md example by @g-w1 in https://github.com/safety-research/safety-tooling/pull/66 env fix to look in submodule by @jplhughes in https://github.com/safety-research/safety-tooling/pull/68 turn openrouter error messages into openai ones so you can use openrouter with openai api by @g-w1 in https://github.com/safety-research/safety-tooling/pull/67 bump deps by @jplhughes in https://github.com/safety-research/safety-tooling/pull/71 vllm automatic deployment using hf models by @jplhughes in https://github.com/safety-research/safety-tooling/pull/72 Create LICENSE by @jplhughes in https://github.com/safety-research/safety-tooling/pull/74 Allowing prefilling on DeepSeek API by @aryopg in https://github.com/safety-research/safety-tooling/pull/75 Abhay/add together prefill format by @abhay-sheshadri in https://github.com/safety-research/safety-tooling/pull/73 Fix venv python version and pre-commit config by @EbTech in https://github.com/safety-research/safety-tooling/pull/76 Adds a slightly more robust version of from_almj_prompt_format by @JacksonKaunismaa in https://github.com/safety-research/safety-tooling/pull/70 Ran pre-commit autoupdate by @EbTech in https://github.com/safety-research/safety-tooling/pull/81 OpenRouter integration and tests by @dpaleka in https://github.com/safety-research/safety-tooling/pull/78 oai fix by @jplhughes in https://github.com/safety-research/safety-tooling/pull/82 open router retries by @jplhughes in https://github.com/safety-research/safety-tooling/pull/83 fix stop reason bug by @jplhughes in https://github.com/safety-research/safety-tooling/pull/84 Add logprob support for DeepSeek by switching to the OpenAI API by @kxcloud in https://github.com/safety-research/safety-tooling/pull/80 Bugfix: allow OpenAI completions by @kxcloud in https://github.com/safety-research/safety-tooling/pull/86 Fix backoff logic in anthropic API retry code by @Revys17 in https://github.com/safety-research/safety-tooling/pull/88 robustify anthropic and openai inference to various errors by @g-w1 in https://github.com/safety-research/safety-tooling/pull/77 add gopher prompt so that you can prompt base models in a chat format by @g-w1 in https://github.com/safety-research/safety-tooling/pull/69 Add GPT 4.1 support by @EbTech in https://github.com/safety-research/safety-tooling/pull/90 make Together models not error out by @dpaleka in https://github.com/safety-research/safety-tooling/pull/87 Log expenditure using model-specific token counts by @EbTech in https://github.com/safety-research/safety-tooling/pull/92 Fix bug in Anthropic Reasoning Mode by @aryopg in https://github.com/safety-research/safety-tooling/pull/91 Fix broken check.py by importing the right utils by @EbTech in https://github.com/safety-research/safety-tooling/pull/93 Another utils.count_tokens miscall by @EbTech in https://github.com/safety-research/safety-tooling/pull/94 fix open router choices None bug by @jplhughes in https://github.com/safety-research/safety-tooling/pull/97 New Contributors @jplhughes made their first contribution in https://github.com/safety-research/safety-tooling/pull/1 @devin-ai-integration made their first contribution in https://github.com/safety-research/safety-tooling/pull/5 @dpaleka made their first contribution in https://github.com/safety-research/safety-tooling/pull/9 @Wanff made their first contribution in https://github.com/safety-research/safety-tooling/pull/13 @abhay-sheshadri made their first contribution in https://github.com/safety-research/safety-tooling/pull/26 @shahofblah made their first contribution in https://github.com/safety-research/safety-tooling/pull/35 @andyrdt made their first contribution in https://github.com/safety-research/safety-tooling/pull/47 @JCocola made their first contribution in https://github.com/safety-research/safety-tooling/pull/52 @Revys17 made their first contribution in https://github.com/safety-research/safety-tooling/pull/56 @g-w1 made their first contribution in https://github.com/safety-research/safety-tooling/pull/66 @aryopg made their first contribution in https://github.com/safety-research/safety-tooling/pull/75 @EbTech made their first contribution in https://github.com/safety-research/safety-tooling/pull/76 @JacksonKaunismaa made their first contribution in https://github.com/safety-research/safety-tooling/pull/70 @kxcloud made their first contribution in https://github.com/safety-research/safety-tooling/pull/80 Full Changelog: https://github.com/safety-research/safety-tooling/commits/v1.0.0John Hughes, Daniel Paleka, Aram Ebtekar, Rowan Wang, Jacob G-W, Abhay Sheshadri, Aryo Pradipta Gema, Caleb Larson, kxcloud, Andy Arditi, JacksonKaunismaa, Jorio Cocola, & Shubhorup Biswas. (2025). safety-research/safety-tooling: v1.0.0 (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.1536360
Dy-based single-molecule magnet as a case study for magnetization relaxation under applied pressure - open dataset
Chicco, S., Garlatti, E., Mavromagoulos, A., Tsanai, A., Bonfa', P., piovano, . andrea ., Dey, S., Little, H., Chiesa, A., Ivanov, A., Onuorah, I. J., Parsons, S., Rajaraman, G., Guidi, T., Murrie, M., & Carretta, S. (2025). Dy-based single-molecule magnet as a case study for magnetization relaxation under applied pressure - open dataset [Data set]. Zenodo. https://doi.org/10.5281/zenodo.1531093
[CODE] QuEST-Kit/QuEST: v4.1.0
Overview This minor release (#622) adds some convenience functions to control QuEST's reporter functions, patches a critical segmentation fault in simulation above 32 qubits, patches the build's installation process and some minor reporter issues, and improves the documentation. New features Two new Debug > Reporting functions customise the outputs of functions like reportPauliStr() and reportPauliStrSum(): setReportedPauliChars() specifies new output characters to replace "IXYZ". setReportedPauliStrStyle() sets whether to print PauliStr as "XYIIIZ" or "Z0 Y4 X5". Patches #623 patched a critical bug in the amplitude-enumeration logic which caused a segmentation fault for simulations of over 32 qubits (believed to cause #618). 15a08ae693a4119f7676ad07e58e137c6eb855b1 removed superfluous re-validation of user input inside Trotter circuits. 5e449fe2eaf8c45194eb1bc774da7e88f8b69c99 patched a seg-fault when calling setMaxNumReportedItems(1,1) (though insignificant bug #588 remains). fb2527e5285b84fa46ae7f0f1a4c432d133936da patched reportScalar() which previously ignored the number of sig-figs set with setMaxNumReportedSigFigs(). c92ebb39eda859de41402788e602233a73e512b6 patched invalid-input error messages that interrupt reports which do not end in a trailing newline (by now always printing a newline before the error message). #624 restored C++17 compatibility of the source (by removing non-standard designated initialisers), which is now targeted by the build (though unit tests still require C++20). #601 and #616 patched the build's install process which previously required users to gratuitously re-specify preprocessor macros (like COMPILE_MPI) when including the pre-installed QuEST header. 420e11d25a2380c7e4853c91e5fa633b6243a4ec ensures that changes to the devel branch will trigger CI tests (as intended). Other changes Examples have been restructured, and a new example using QuEST to perform real-time Hamiltonian simulation (dynamics.c(pp)) was added. CI now runs Windows tests first since they are the most error-prone. CI now runs all isolated examples (in addition to merely compiling them), testing for link-time issues (see e9fa519617edd498a9f7e8901ce7273f44ceebe1). CI now compiles and runs all files in the new automated examples folder, offering external contributors a quick and easy way to platform-agnostically test their PR (in lieu of preparing a unit test)(see e9fa519617edd498a9f7e8901ce7273f44ceebe1). Code-coverage reporting in PRs (using LCOV) was disabled since it did not capture accelerated backend coverage. Many functions received new documentation (although the war continues). Several custom Doxygen tags were renamed (see #621) New contributors This release contained patches from new contributors: Luc Jaulmes in #616 James Richings in #623Tyson Jones, aniabrown, Jacob Wilkins, Richard Meister, Fergus Cooper, BalintKoczor, Nicolas Vogt, Oliver Thomson Brown, Erich Essmann, Drew Silcock, Christopher, Gleb Struchalin, JPRichings, Kshitij Chhabra, Luc Jaulmes, Milos Prokop, & bruno villasenor. (2025). QuEST-Kit/QuEST: v4.1.0 (v4.1.0). Zenodo. https://doi.org/10.5281/zenodo.1553187
Data related to Spencer et al, 2020 CVR. The LINC00961 transcript and its encoded micropeptide, small regulatory polypeptide of amino acid response, regulate endothelial cell function
This dataset is held in the Edinburgh DataVault, directly accessible only to authorised University of Edinburgh staff. External users may request access to a copy of the data by contacting the Principal Investigator, Contact Person or Data Manager named on this page. University of Edinburgh users who wish to have direct access should consult the information about retrieving data from the DataVault at: https://www.ed.ac.uk/is/research-support/datavault.This vault contains: - the processed data of the embryonic stem cell (ESC) to endothelial cell (EC) differentiation bulk RNAseq - manuscript files with some analysis done during the manuscript preparation and revisions - sequences and genomic organisation of LINC00961/ SPAAR - analysis of lncRNAs regulated by the TFs (ERG and ETV2) => data not included in manuscript - miRNA array performed on samples from the ESC to EC differentiation => data not included in manuscript - Analysis of other lncRNAs (PCAT19 and RP11-371O7_3) => data not included in manuscrip
stefanocoretta/grni-vitality: v1.0
Vitality assessment of Gallo-Romance of Northern ItalyStefano Coretta, & jesshampton. (2025). stefanocoretta/grni-vitality: v1.0 (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.1571593
Repeated behavioral evolution is associated with convergence of gene expression in cavity-nesting songbirds
Transcriptomic, hormonal, and behavioral data as well as model output from females and males of 10 songbird speciesLipshutz, Sara; Hibbins, Mark; Bentz, Alexandra B.; Buechlein, Aaron; Empson, Tara; George, Elizabeth; et al. (2025). Repeated behavioral evolution is associated with convergence of gene expression in cavity-nesting songbirds. figshare. Dataset. https://doi.org/10.6084/m9.figshare.26367061.v