12 research outputs found
Reproductive phenology of 233 species from four herbaceous–shrubby communities in the Gran Sabana Plateau of Venezuela
The reproductive phenology of 233 species from four herbaceous-shrubby communities in the Venezuelan Guayana Highlands (shrublands, secondary bush, savanna, and broad-leaved meadow) exhibited non-seasonal patterns of variability These were found to be related to composition of life-forms, precipitation regime and soil type
CMS physics technical design report : Addendum on high density QCD with heavy ions
Peer reviewe
MECANISMOS DE DISEMINACIÓN DE ESPECIES XEROFITAS
Los estudios en vegetación xerofila son muy escasos. Por ello se realizó el presente como un aporte de información sobre este tipo de vegetación, cuyo objetivo fue: Establecer mediante inferencias morfológicas los mecanismos de diseminación de 14 especies de un bosque xerofitico. El estudio se realizó en un monte espinoso tropical, ubicado en el sureste de la ciudad de Cumaná a 1 0° 25' 52" norte y 64° 11 ' 36" oeste. La muestra estuvo comprendida entre árboles, arbustos y suculentas columnares representativas de la zona. Se utilizaron 30 frutos por especie, considerando el tipo morfológico del fruto, forma del fruto y de la semilla, color y la determinación de varias variables morfométricas. Los mecanismos de dispersión fueron establecidos mediante observaciones en el campo y por reportes bibliográficos previos. Los principales mecanismos establecidos fueron mamalocoría-ornitocoría (Rhodocactus guamacho (Weber) Kunth, Stenocereus griseus (Haw) F. Buxb y Subpilocereus repandus (L.) Backeb) y balocoríamirmecocoría (Cnidoscolus urens (L.) Arthur, Croton sp. y Jatropha gossypifolia L.) PALABRAS CLAVES: Diseminación, xerofitico,.fruto. ABSTRACT There are few studies in semiarid vegetation . This study was conducted inorder to contribute more information about this vegetation pattern . The purpose was to determine disperssio mechanisms through the study of the morphology characteristics offruitss and seed in 14 species found in the semiarid thorn scrub forest southeast of Cumaná (10° 25' 52" N, 64° 11 36" W). Trees scrub and Cactaceae speciess were selected as samples in the study are a 30 fruits per species were u sed to determine the fruit' s morphological type, shape, color and mor-phom etic variables. Direct observation and related 1iterature were u sed to determine the doispers ion mechanisms. The main dispersion mechanisms that we could observe were mamalochory-ornitochory (Rhodocactus guamocho (Weber) Kunth Stenocerus griseus (Haw) F. Buxb and Subpilocereus repandus (L.) Backeb) and balochory-mirmecochpry (Cnidoscolus urens (L.) Arthur, Crolon sp. and Jatropha gossypifolia L.). KEY WORD: Dispersal, Xerophytic, fruit
Rainfall, Fruiting Phenology, and the Nesting Season of White-Crowned Pigeons in the Upper Florida Keys
Phenology of Hyacinthoides non-scripta (L.) chouard, Melittis melissophyllum L. and Symphytum tuberosum L. in two deciduous forests in the Cantabrian mountains, Northwest Spain
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
Opportunistic infections and AIDS malignancies early after initiating combination antiretroviral therapy in high-income countries
Background: There is little information on the incidence of AIDS-defining events which have been reported in the literature to be associated with immune reconstitution inflammatory syndrome (IRIS) after combined antiretroviral therapy (cART) initiation. These events include tuberculosis, mycobacterium avium complex (MAC), cytomegalovirus (CMV) retinitis, progressive multifocal leukoencephalopathy (PML), herpes simplex virus (HSV), Kaposi sarcoma, non-Hodgkin lymphoma (NHL), cryptococcosis and candidiasis. Methods: We identified individuals in the HIV-CAUSAL Collaboration, which includes data from six European countries and the US, who were HIV-positive between 1996 and 2013, antiretroviral therapy naive, aged at least 18 years, hadCD4+ cell count and HIV-RNA measurements and had been AIDS-free for at least 1 month between those measurements and the start of follow-up. For each AIDS-defining event, we estimated the hazard ratio for no cART versus less than 3 and at least 3 months since cART initiation, adjusting for time-varying CD4+ cell count and HIV-RNA via inverse probability weighting. Results: Out of 96 562 eligible individuals (78% men) with median (interquantile range) follow-up of 31 [13,65] months, 55 144 initiated cART. The number of cases varied between 898 for tuberculosis and 113 for PML. Compared with non-cART initiation, the hazard ratio (95% confidence intervals) up to 3 months after cART initiation were 1.21 (0.90-1.63) for tuberculosis, 2.61 (1.05-6.49) for MAC, 1.17 (0.34-4.08) for CMV retinitis, 1.18 (0.62-2.26) for PML, 1.21 (0.83-1.75) for HSV, 1.18 (0.87-1.58) for Kaposi sarcoma, 1.56 (0.82-2.95) for NHL, 1.11 (0.56-2.18) for cryptococcosis and 0.77 (0.40-1.49) for candidiasis. Conclusion: With the potential exception of mycobacterial infections, unmasking IRIS does not appear to be a common complication of cART initiation in high-income countries
CMS physics technical design report: Addendum on high density QCD with heavy ions
This report presents the capabilities of the CMS experiment to explore the rich heavy-ion physics programme offered by the CERN Large Hadron Collider (LHC). The collisions of lead nuclei at energies ,will probe quark and gluon matter at unprecedented values of energy density. The prime goal of this research is to study the fundamental theory of the strong interaction - Quantum Chromodynamics (QCD) - in extreme conditions of temperature, density and parton momentum fraction (low-x). This report covers in detail the potential of CMS to carry out a series of representative Pb-Pb measurements. These include "bulk" observables, (charged hadron multiplicity, low pT inclusive hadron identified spectra and elliptic flow) which provide information on the collective properties of the system, as well as perturbative probes such as quarkonia, heavy-quarks, jets and high pT hadrons which yield "tomographic" information of the hottest and densest phases of the reaction.0info:eu-repo/semantics/publishe