1,024 research outputs found
A Grammar for Reproducible and Painless Extract-Transform-Load Operations on Medium Data
Many interesting data sets available on the Internet are of a medium
size---too big to fit into a personal computer's memory, but not so large that
they won't fit comfortably on its hard disk. In the coming years, data sets of
this magnitude will inform vital research in a wide array of application
domains. However, due to a variety of constraints they are cumbersome to
ingest, wrangle, analyze, and share in a reproducible fashion. These
obstructions hamper thorough peer-review and thus disrupt the forward progress
of science. We propose a predictable and pipeable framework for R (the
state-of-the-art statistical computing environment) that leverages SQL (the
venerable database architecture and query language) to make reproducible
research on medium data a painless reality.Comment: 30 pages, plus supplementary material
Greater data science at baccalaureate institutions
Donoho's JCGS (in press) paper is a spirited call to action for
statisticians, who he points out are losing ground in the field of data science
by refusing to accept that data science is its own domain. (Or, at least, a
domain that is becoming distinctly defined.) He calls on writings by John
Tukey, Bill Cleveland, and Leo Breiman, among others, to remind us that
statisticians have been dealing with data science for years, and encourages
acceptance of the direction of the field while also ensuring that statistics is
tightly integrated.
As faculty at baccalaureate institutions (where the growth of undergraduate
statistics programs has been dramatic), we are keen to ensure statistics has a
place in data science and data science education. In his paper, Donoho is
primarily focused on graduate education. At our undergraduate institutions, we
are considering many of the same questions.Comment: in press response to Donoho paper in Journal of Computational
Graphics and Statistic
Development of computer software to analyze entire LANDSAT scenes and to summarize classification results of variable-size polygons
The Forest Pest Management Division (FPMD) of the Pennsylvania Bureau of Forestry has the responsibility for conducting annual surveys of the State's forest lands to accurately detect, map, and appraise forest insect infestations. A standardized, timely, and cost-effective method of accurately surveying forests and their condition should enhance the probability of suppressing infestations. The repetitive and synoptic coverage provided by LANDSAT (formerly ERTS) makes such satellite-derived data potentially attractive as a survey medium for monitoring forest insect damage over large areas. Forest Pest Management Division personnel have expressed keen interest in LANDSAT data and have informally cooperated with NASA/Goddard Space Flight Center (GSFC) since 1976 in the development of techniques to facilitate their use. The results of this work indicate that it may be feasible to use LANDSAT digital data to conduct annual surveys of insect defoliation of hardwood forests
We Found 29 Habits and Practices Adopted by Effective Fish and Wildlife Management Professionals
Spatial separation in a thermal mixture of ultracold Yb and Rb atoms
We report on the observation of unusually strong interactions in a thermal
mixture of ultracold atoms which cause a significant modification of the
spatial distribution. A mixture of Rb and Yb with a temperature
of a few K is prepared in a hybrid trap consisting of a bichromatic
optical potential superimposed on a magnetic trap. For suitable trap parameters
and temperatures, a spatial separation of the two species is observed. We infer
that the separation is driven by a large interaction strength between
Yb and Rb accompanied by a large three-body recombination rate.
Based on this assumption we have developed a diffusion model which reproduces
our observations
Double Binds and Double Blinds: Evaluation Tactics in Critically Oriented HCI
Critically oriented researchers within Human-Computer Interaction (HCI) have fruitfully intersected design and critical analysis to engage users and designers in reflection on underlying values, assumptions and dominant practices in technology. To successfully integrate this work within the HCI community, critically oriented researchers have tactically engaged with dominant practices within HCI in the design and evaluation of their work. This paper draws attention to the ways that tactical engagement with aspects of HCI evaluation methodology shapes and bears consequences for critically oriented research. We reflect on three of our own experiences evaluating critically oriented designs and trace challenges that we faced to the ways that sensibilities about generalizable knowledge are manifested in HCI evaluation methodology. Drawing from our own experiences, as well as other influential critically oriented design projects in HCI, we articulate some of the trade-offs involved in consciously adopting or not adopting certain normative aspects of HCI evaluation. We argue that some forms of this engagement can hamstring researchers from pursuing their intended research goals and have consequences beyond specific research projects to affect the normative discourse in the field as a whole
Sympathetic cooling in a mixture of diamagnetic and paramagnetic atoms
We have experimentally realized a hybrid trap for ultracold paramagnetic
rubidium and diamagnetic ytterbium atoms by combining a bichromatic optical
dipole trap for ytterbium with a Ioffe-Pritchard-type magnetic trap for
rubidium. In this hybrid trap, sympathetic cooling of five different ytterbium
isotopes through elastic collisions with rubidium was achieved. A strong
dependence of the interspecies collisional cross section on the mass of the
ytterbium isotope was observed.Comment: 4 pages, 4 figure
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