Prevalence and Predictors of Food Insecurity in Migrant Farmworkers in Georgia

We examined the prevalence of food insecurity in migrant farmworkers in Georgia.Of these workers 62.83% did not have enough food, and non–H-2A workers had an adjusted risk of food insecurity almost 3 times higher than did H-2A workers. Lack of access to cooking facilities, transportation problems, and having children were additional risk factors. Migrant farmworkers are at extreme risk for food insecurity, although being an H-2A guestworker was protective within this population. Policy interventions are needed to protect these vulnerable farmworkers

Utility of Routine Laboratory Biomarkers to Detect COVID-19: A Systematic Review and Meta-Analysis

No routine laboratory biomarkers perform well enough in diagnosing COVID-19 in isolation for them to be used as a standalone diagnostic test or to help clinicians prioritize patients for treatment. Instead, other diagnostic tests are needed. The aim of this work was to statistically summarise routine laboratory biomarker measurements in COVID-19-positive and -negative patients to inform future work. A systematic literature review and meta-analysis were performed. The search included names of commonly used, routine laboratory tests in the UK NHS, and focused on research papers reporting laboratory results of patients diagnosed with COVID-19. A random effects meta-analysis of the standardized mean difference between COVID-19-positive and -negative groups was conducted for each biomarker. When comparing reported laboratory biomarker results, we identified decreased white blood cell, neutrophil, lymphocyte, eosinophil, and platelet counts; while lactate dehydrogenase, aspartate aminotransferase, and alanine aminotransferase were elevated in COVID-19-positive compared to COVID-19-negative patients. Differences were identified across a number of routine laboratory biomarkers between COVID-19-positive and -negative patients. Further research is required to identify whether routine laboratory biomarkers can be used in the development of a clinical scoring system to aid with triage of patients

Many Labs 3: Evaluating participant pool quality across the academic semester via replication

The university participant pool is a key resource for behavioral research, and data quality is believed to vary over the course of the academic semester. This crowdsourced project examined time of semester variation in 10 known effects, 10 individual differences, and 3 data quality indicators over the course of the academic semester in 20 participant pools (N = 2696) and with an online sample (N = 737). Weak time of semester effects were observed on data quality indicators, participant sex, and a few individual differences conscientiousness, mood, and stress. However, there was little evidence for time of semester qualifying experimental or correlational effects. The generality of this evidence is unknown because only a subset of the tested effects demonstrated evidence for the original result in the whole sample. Mean characteristics of pool samples change slightly during the semester, but these data suggest that those changes are mostly irrelevant for detecting effects. (C) 2015 Elsevier Inc. All rights reserved

Many Labs 3: Evaluating participant pool quality across the academic semester via replication

The university participant pool is a key resource for behavioral research, and data quality is believed to vary over the course of the academic semester. This crowdsourced project examined time of semester variation in 10 known effects, 10 individual differences, and 3 data quality indicators over the course of the academic semester in 20 participant pools (N = 2696) and with an online sample (N = 737). Weak time of semester effects were observed on data quality indicators, participant sex, and a few individual differences—conscientiousness, mood, and stress. However, there was little evidence for time of semester qualifying experimental or correlational effects. The generality of this evidence is unknown because only a subset of the tested effects demonstrated evidence for the original result in the whole sample. Mean characteristics of pool samples change slightly during the semester, but these data suggest that those changes are mostly irrelevant for detecting effects

Many Labs 3: Evaluating participant pool quality across the academic semester via replication

The university participant pool is a key resource for behavioral research, and data quality is believed to vary over the course of the academic semester. This crowdsourced project examined time of semester variation in 10 known effects, 10 individual differences, and 3 data quality indicators over the course of the academic semester in 20 participant pools (N = 2696) and with an online sample (N = 737). Weak time of semester effects were observed on data quality indicators, participant sex, and a few individual differences conscientiousness, mood, and stress. However, there was little evidence for time of semester qualifying experimental or correlational effects. The generality of this evidence is unknown because only a subset of the tested effects demonstrated evidence for the original result in the whole sample. Mean characteristics of pool samples change slightly during the semester, but these data suggest that those changes are mostly irrelevant for detecting effects. (C) 2015 Elsevier Inc. All rights reserved

Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.13.1

0.13.1 (May 20, 2017) FIX: Make release compatible with conda-forge build process (https://github.com/nipy/nipype/pull/2017) ENH: Update some minimum versions in compliance with Debian Jessie (https://github.com/nipy/nipype/pull/2017) ENH: Circle builds use cached docker layers (https://github.com/nipy/nipype/pull/2017) ENH: Base docker to use FS6 and ANTS 2.2.0 (https://github.com/nipy/nipype/pull/2024) FIX: Mailmap and contributor acknowledgment (https://github.com/nipy/nipype/pull/2017) FIX: Preserve node properties in sub nodes of MapNode (https://github.com/nipy/nipype/pull/2019) FIX: Fix interfaces 3DUnifize, ICA_AROMA, BinaryMaths, RegAverage, BBRegister, AffineInitializer (https://github.com/nipy/nipype/pull/2025, https://github.com/nipy/nipype/pull/2027, https://github.com/nipy/nipype/pull/2036, https://github.com/nipy/nipype/pull/2037, https://github.com/nipy/nipype/pull/2031, https://github.com/nipy/nipype/pull/2010) ENH: Add Anisotropic Power interface (https://github.com/nipy/nipype/pull/2039) FIX: Bayesian estimation in SPM (https://github.com/nipy/nipype/pull/2030) 0.13.0 (May 11, 2017) ENH: Multi-stage recon-all directives (https://github.com/nipy/nipype/pull/1991) FIX: FEAT "folder does not exist" error (https://github.com/nipy/nipype/pull/2000) ENH: Niftyfit interfaces (https://github.com/nipy/nipype/pull/1910) FIX: Define ANTSPATH for BrainExtraction automatically (https://github.com/nipy/nipype/pull/1986) ENH: New trait for imaging files (https://github.com/nipy/nipype/pull/1949) ENH: Niftyseg interfaces (https://github.com/nipy/nipype/pull/1911) ENH: Niftyreg interfaces (https://github.com/nipy/nipype/pull/1913) MRG: Allow more support for CLI (https://github.com/nipy/nipype/pull/1908) ENH: 3dQwarpPlusMinus interface (https://github.com/nipy/nipype/pull/1974) FIX: PY3.6 support (https://github.com/nipy/nipype/pull/1977) FIX: PY3 and stream fixes for MRTrix2TrackVis (https://github.com/nipy/nipype/pull/1804) ENH: More mask options for CompCor interfaces (https://github.com/nipy/nipype/pull/1968 + https://github.com/nipy/nipype/pull/1992) ENH: Additional TOPUP outputs (https://github.com/nipy/nipype/pull/1976) ENH: Additional Eddy flags (https://github.com/nipy/nipype/pull/1967) ENH: ReconAll handlers for less common cases (https://github.com/nipy/nipype/pull/1966) ENH: FreeSurferSource now finds graymid/midthickness surfs (https://github.com/nipy/nipype/pull/1972) ENH: Additional fslmaths dimensional reduction operations (https://github.com/nipy/nipype/pull/1956) ENH: More options for RobustFOV interface (https://github.com/nipy/nipype/pull/1923) ENH: Add MRIsCombine to FreeSurfer utils (https://github.com/nipy/nipype/pull/1948) FIX: Level1Design EV parameter substitution (https://github.com/nipy/nipype/pull/1953) FIX: Dcm2niix outputs can be uncompressed (https://github.com/nipy/nipype/pull/1951) FIX: Ensure build fails in Circle when tests fail (https://github.com/nipy/nipype/pull/1981) ENH: Add interface to antsAffineInitializer (https://github.com/nipy/nipype/pull/1980) ENH: AFNI motion parameter support for FrameWiseDisplacement (https://github.com/nipy/nipype/pull/1840) ENH: Add ANTs KellyKapowski interface (https://github.com/nipy/nipype/pull/1845) FIX: AFNI interface bug setting OMP_NUM_THREADS to 1 (https://github.com/nipy/nipype/pull/1728) FIX: Select Eddy run command at runtime (https://github.com/nipy/nipype/pull/1871) FIX: Increase FLIRT's flexibility with apply_xfm (https://github.com/nipy/nipype/pull/1875) DOC: Update FSL preprocess docstrings (https://github.com/nipy/nipype/pull/1881) ENH: Support GIFTI outputs in SampleToSurface (https://github.com/nipy/nipype/pull/1886) FIX: Configparser differences between PY2 and PY3 (https://github.com/nipy/nipype/pull/1890) ENH: Add mris_expand interface (https://github.com/nipy/nipype/pull/1893) FIX: Split over-eager globs in FreeSurferSource (https://github.com/nipy/nipype/pull/1894) FIX: Store undefined by default so that xor checks don't trip (https://github.com/nipy/nipype/pull/1903) FIX: Gantt chart generator PY3 compatibility (https://github.com/nipy/nipype/pull/1907) FIX: Add DOF and --fsl-dof options to BBRegister (https://github.com/nipy/nipype/pull/1917) ENH: Auto-derive input_names in Function (https://github.com/nipy/nipype/pull/1918) FIX: Minor fixes for NonSteadyStateDetector (https://github.com/nipy/nipype/pull/1926) DOC: Add duecredit references for AFNI and FSL (https://github.com/nipy/nipype/pull/1930) ENH: Added zenodo (https://zenodo.org/) file (https://github.com/nipy/nipype/pull/1924) ENH: Disable symlinks on CIFS filesystems (https://github.com/nipy/nipype/pull/1941) ENH: Sphinx extension to plot workflows (https://github.com/nipy/nipype/pull/1896) ENH: Added non-steady state detector for EPI data (https://github.com/nipy/nipype/pull/1839) ENH: Enable new BBRegister init options for FSv6+ (https://github.com/nipy/nipype/pull/1811) REF: Splits nipype.interfaces.utility into base, csv, and wrappers (https://github.com/nipy/nipype/pull/1828) FIX: Makespec now runs with nipype in current directory (https://github.com/nipy/nipype/pull/1813) FIX: Flexible nifti opening with mmap if Numpy < 1.12.0 (https://github.com/nipy/nipype/pull/1796 + https://github.com/nipy/nipype/pull/1831) ENH: DVARS includes intensity normalization feature - turned on by default (https://github.com/nipy/nipype/pull/1827) FIX: DVARS is correctly using sum of squares instead of standard deviation (https://github.com/nipy/nipype/pull/1827) ENH: Refactoring of nipype.interfaces.utility (https://github.com/nipy/nipype/pull/1828) FIX: CircleCI were failing silently. Some fixes to tests (https://github.com/nipy/nipype/pull/1833) FIX: Issues in Docker image permissions, and docker documentation (https://github.com/nipy/nipype/pull/1825) ENH: Revised all Dockerfiles and automated deployment to Docker Hub from CircleCI (https://github.com/nipy/nipype/pull/1815) ENH: Update ReconAll interface for FreeSurfer v6.0.0 (https://github.com/nipy/nipype/pull/1790) FIX: Cast DVARS float outputs to avoid memmap error (https://github.com/nipy/nipype/pull/1777) FIX: FSL FNIRT intensity mapping files (https://github.com/nipy/nipype/pull/1799) ENH: Additional outputs generated by FSL EDDY (https://github.com/nipy/nipype/pull/1793) TST: Parallelize CircleCI build across 4 containers (https://github.com/nipy/nipype/pull/1769) 0.13.0-rc1 (January 4, 2017) FIX: Compatibility with traits 4.6 (https://github.com/nipy/nipype/pull/1770) FIX: Multiproc deadlock (https://github.com/nipy/nipype/pull/1756) TST: Replace nose and unittest with pytest (https://github.com/nipy/nipype/pull/1722, https://github.com/nipy/nipype/pull/1751) FIX: Semaphore capture using MultiProc plugin (https://github.com/nipy/nipype/pull/1689) REF: Refactor AFNI interfaces (https://github.com/nipy/nipype/pull/1678, https://github.com/nipy/nipype/pull/1680) ENH: Move nipype commands to group command using click (https://github.com/nipy/nipype/pull/1608) FIX: AFNI Retroicor interface fixes (https://github.com/nipy/nipype/pull/1669) FIX: Minor errors after migration to setuptools (https://github.com/nipy/nipype/pull/1671) ENH: Add AFNI 3dNote interface (https://github.com/nipy/nipype/pull/1637) ENH: Abandon distutils, only use setuptools (https://github.com/nipy/nipype/pull/1627) FIX: Minor bugfixes related to unicode literals (https://github.com/nipy/nipype/pull/1656) TST: Automatic retries in travis (https://github.com/nipy/nipype/pull/1659/files) ENH: Add signal extraction interface (https://github.com/nipy/nipype/pull/1647) ENH: Add a DVARS calculation interface (https://github.com/nipy/nipype/pull/1606) ENH: New interface to b0calc of FSL-POSSUM (https://github.com/nipy/nipype/pull/1399) ENH: Add CompCor (https://github.com/nipy/nipype/pull/1599) ENH: Add duecredit entries (https://github.com/nipy/nipype/pull/1466) FIX: Python 3 compatibility fixes (https://github.com/nipy/nipype/pull/1572) REF: Improved PEP8 compliance for fsl interfaces (https://github.com/nipy/nipype/pull/1597) REF: Improved PEP8 compliance for spm interfaces (https://github.com/nipy/nipype/pull/1593) TST: Replaced coveralls with codecov (https://github.com/nipy/nipype/pull/1609) ENH: More BrainSuite interfaces (https://github.com/nipy/nipype/pull/1554) ENH: Convenient load/save of interface inputs (https://github.com/nipy/nipype/pull/1591) ENH: Add a Framewise Displacement calculation interface (https://github.com/nipy/nipype/pull/1604) FIX: Use builtins open and unicode literals for py3 compatibility (https://github.com/nipy/nipype/pull/1572) TST: reduce the size of docker images & use tags for images (https://github.com/nipy/nipype/pull/1564) ENH: Implement missing inputs/outputs in FSL AvScale (https://github.com/nipy/nipype/pull/1563) FIX: Fix symlink test in copyfile (https://github.com/nipy/nipype/pull/1570, https://github.com/nipy/nipype/pull/1586) ENH: Added support for custom job submission check in SLURM (https://github.com/nipy/nipype/pull/1582) ENH: Added ANTs interface CreateJacobianDeterminantImage; replaces deprecated JacobianDeterminant (https://github.com/nipy/nipype/pull/1654