- Feb 2021
- fast payday loans online
- payday loans for bad credit instant approval
- online personal loans
- payday loans online no credit check instant approval
- payday loans online same day deposit
- Personal loans online
- payday loan no credit check
- online payday loans same day deposit
- best online payday loans
- payday and installment loans
- same day loans no credit checks
- best installment loans
- direct deposit payday loans
- emergency cash immediately bad credit
- payday loans online same day deposit bad credit
- Aug 2020
Correa, R., Du, W., & Liao, G. Y. (2020). U.S. Banks and Global Liquidity (Working Paper No. 27491; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27491
- Jun 2020
Now all that was gone. In theory, they qualified for a $3,400 federal stimulus check, but they had no bank account or address to collect it. In theory, Dave was entitled to unemployment, but as of May only about 43 percent of the state’s 1.1 million claims had been paid.
A few paragraphs later this appears: "She set her phone alarm for midnight so that as Thursday turned to Friday, she could check whether Dave’s first paycheck had hit their account. She could hear the clatter of raccoons foraging in a nearby dumpster and the hum of cars rolling through the drive-through. At 12:01 a.m. she looked to see whether Dave’s paycheck had shown up in his account." First they don't have an account for the stimulus money to go to, then they're getting up at midnight to see if the paycheck had hit their account. In addition, it takes about a week to set up direct deposit with most companies.
- Apr 2020
- Jul 2018
Fully reproducible code is available in the form of jupyter notebooks (https://jupyter.org) with instructions to install all necessary software, download sequence data, assemble it, and run genomic analyses (https://github.com/dereneaton/Canarium-GBS) (DOI 10.5281/zenodo.1273357). For all genomic analyses in this study we used the ipyrad Python API and the ipyrad-analysis toolkit (https://github.com/dereneaton/ipyrad) which provides a set of wrappers around common genomic analysis tools to run highly parallelized analyses using simple Python scripts.
Example of author sharing all code via jupyter notebooks in a github repo. They have archived to Zenodo and include both URLs in the text. Their analysis relies on an existing toolkit - it is not obvious from the manuscript whether this toolkit has been deposited anywhere.
Journal: PLOS ONE Subject area: plant biology, ecology (check?)
Source code of the model presented here is available on GitHub (https://github.com/lukasgeyrhofer/phagegrowth) (Payne et al., 2018) and its archived version is accessible through Zenodo: https://dx.doi.org/10.5281/zenodo.1038582 and https://github.com/elifesciences-publications/phagegrowth.
Example of authors archiving their own code. The eLife process is to fork the author's repo to the eLife github repo to save a snapshot of the repo at the time of acceptance. The authors here have also chosen to archive to Zenodo (via the Github release --> Zenodo mechanism?). Both the Zenodo DOI and the eLife fork are included in the text as archive/snapshot copies of the original (also cited).
Note the author's original repo is included in the references.
Journal: eLife Subject area: ecology, evolutionary biology
doi: 10.5281/zenodo.1038582RRID:SCR_004129Zenodo repository
In this example, the archived code repository has been listed in the eLife Key Resources Table