236,289 research outputs found
BOX BOX BOX
No full textResearch Background: BOX BOX BOX revolves around three self-built portable electronic instruments and foregrounds the unique affordances of DIY technologies while suggesting new aesthetic approaches. Although conceived initially around just one instrument, called “BOX”, two other instruments “HST1d” and “Beat Machine v 0.3” play an important role and continue the DIY agenda. The intention with “BOX” is to communicate the inner workings of the instrument and the decisions/gestures of the human performer via 48 LEDs which are frequently orientated towards the audience. “BOX” has no visible controls on its outside surfaces but hides light and a control interface within, an accelerometer built into the lid acts as overall volume control and provides a link between sound, light, and motion.
Research Contribution: The project highlights the tension between tactile gestures and complex remappings; physicality is celebrated but the potential of self-animating systems that are difficult to navigate is explored. There is a clear obsession with circles, loops, and patterns. The overall goal is to foreground a variety of autonomous and manually operated systems that combine to force the performer’s attention to the matters at hand. The software is written in Pure Data and runs on an iPad via Mobile Music Platform, this is controlled by bespoke laser-cut hardware. BOX BOX BOX is an inherently improvisational work but is structured by interactive behaviors and sonic systems.
Research Significance: In 2019 BOX BOX BOX was 1. accepted to the Glasgow Electronic and Audiovisual Media (GLEAM) Festival and performed at Glasgow University (UK) 2. presented as part of an Electronic Music concert and invited artist talk at Derby University (UK) 3. the various BOX BOX BOX were presented in a Lecture/Demonstration at the Orpheus Research Summit at the Orpheus Institute in Ghent (BE) 4) presented (somewhat informally) at the Emily Carr University of Art and Design in Vancouver (CA).No Full Tex
selection of daily Sentinel-2 imagery from Southern Greenland 2017 to 2021
No full textimagery features Qajuuttap sermia, Bredefjord and Qalerallit sermiat. Narsarsuaq is visible in the coverage. The imagery are stored as 10 m geotiff files processed by J. Box using code adapted after that from https://github.com/AdrienWehrle/earthspy of Adrien Wehrlé at U. Zurich. The code can be run easily by [email protected] for other times of year
Greenland SMB, D and TMB annual time series 1840-2012
No full text
<body lang=en-DK link=blue vlink="#954F72" style='tab-interval:36.0pt;
word-wrap:break-word'>
All-Greenland
Surface and Total Mass Balance annual time series after
<li class=MsoNormal style='color:black;mso-list:l2 level1 lfo3;tab-stops:list 36.0pt;
vertical-align:baseline'>Kjeldsen
et al (2015) <span
style='color:#1155CC'>https://doi.org/10.1038/nature16183
<li class=MsoNormal style='color:black;mso-list:l2 level1 lfo3;tab-stops:list 36.0pt;
vertical-align:baseline'>Box
(2013) SMB <span
style='color:#1155CC'>https://doi.org/10.1175/JCLI-D-12-00518.1
<li class=MsoNormal style='color:black;mso-list:l2 level1 lfo3;tab-stops:list 36.0pt;
vertical-align:baseline'>Box
and Colgan (2013) TMB <span
style='color:#1155CC'>https://doi.org/10.1175/jcli-d-12-00546.1
<li class=MsoNormal style='color:black;margin-bottom:4.0pt;mso-list:l2 level1 lfo3;
tab-stops:list 36.0pt;vertical-align:baseline'><span style='mso-fareast-font-family:
"Times New Roman"'>Box et al. (2013) Accumulation <a
href="https://doi.org/10.1175/JCLI-D-12-00373.1">https://doi.org/10.1175/JCLI-D-12-00373.1
Data
file
and notes
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:4.0pt;
margin-left:36.0pt'>Greenland_mass_balance_totals_1840-2012_ver_20141130_with_uncert_via_Kjeldsen_et_al_2015.csv
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:4.0pt;
margin-left:36.0pt'>Column headers:
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:4.0pt;
margin-left:36.0pt'>year
accumulation accumulation 1sigma melt melt
1sigma
retention retention
1sigma runoff runoff 1sigma
discharge from 6 year lagged average runoff discharge
1sigma TMB TMB
1sigma
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:4.0pt;
margin-left:36.0pt'>1840 645.43
65.82 277.70 64.34 143.07 48.72 173.56
46.15 406.08 36.65 65.79
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:4.0pt;
margin-left:36.0pt'>Units: Gt per year, temperature
in deg. C
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:4.0pt;
margin-left:36.0pt'>Column description: “1sigma”
refers to uncertainty; “accumulation” is snow accumulation equivalent with tp
minus vapor lsos; “melt” is snow or ice converted to liquid; “retention” is nternal
accumulation; “runoff” is liquid melt water exiting ice sheet; “SMB” is surface
mass balance; “TMB” is total mass balance
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:4.0pt;
margin-left:36.0pt'>From these data SMB can be
computed as: accumulation - runoff - discharge
Time
series visualization code and data: <a
href="https://github.com/jasonebox/TMB_Greenland_1840-2012"><span
style='font-family:"Calibri",sans-serif;color:#1155CC'>https://github.com/jasonebox/TMB_Greenland_1840-2012
Issues:
<a
href="https://github.com/jasonebox/TMB_Greenland_1840-2012/issues"><span
style='font-family:"Calibri",sans-serif;color:#1155CC'>https://github.com/jasonebox/TMB_Greenland_1840-2012/issues
Description
The Box<span
lang=EN-US style='color:black;mso-ansi-language:EN-US'> (<span
style='color:black'>2013) 171 year (1840-2010) surface mass balance
reconstruction is developed from linear regression parameters that describe the
correlation between a.) spatially discontinuous in-situ monthly air temperature
records (Cappelen, 2011; Cappelen et al., 2001, 2006; Vinther et al., 2006) or
firn/ice cores (Box et al., 2013) and b.) spatially continuous outputs from
regional climate model RACMO version 2.1 (Ettema et al., 2010). A 43-year
overlap period 1960–2012 with RACMO2.1 is used to determine regression
parameters on a 5 km grid cell basis. Then the predictor (air temperature and
firn/ice core) data span 1840 to 2012. A fundamental assumption is that the
calibration factors, regression slope and offset for the calibration period
1960–2012 are stationary over time. See “part I” of Box et al. (2013) for a
description of the method, which includes a formal approach to estimate
uncertainty.
The Box<span
lang=EN-US style='color:black;mso-ansi-language:EN-US'> (<span
style='color:black'>2013) 171 year (1840-2010) SMB reconstruction is refined in
(Kjeldsen et al., 2015) to incorporate: including peripheral ice masses in
addition to the ice sheet; a more sophisticated meltwater retention scheme
(Pfeffer et al., 1991); multiple in-situ records are weighted in their
contribution to the estimated value; the annual accumulation rates from ice
cores are dispersed <span
style='color:black'>into a monthly temporal resolution by weighting the monthly
(based on the 1960–2012 RACMO2.1 data) fraction of the annual total for each
grid cell in the domain and the revised surface mass balance data end with year
2012.
The 173
year (1840-2012) reconstruction of annual total mass balance (TMB) is after
(Box and Colgan, 2013) improved in (Kjeldsen et al., 2015). Annual solid ice
discharge<span
style='color:black'> (<span lang=EN-US style='color:black;mso-ansi-language:
EN-US'>D) was estimated via a fit of
unsmoothed solid ice discharge data (Rignot et al., 2008, 2011) with Box<span
lang=EN-US style='color:black;mso-ansi-language:EN-US'> (<span
style='color:black'>2013) runoff data having a 6-year trailing average in Kjeldsen
et al. (<span
style='color:black'>2015). The physical basis for the SID parameterization
using runoff is described in (Box and Colgan, 2013).
Works
Cited
<span
style='font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:
Symbol'>·
Box,
J. E.: Greenland Ice Sheet Mass Balance Reconstruction. Part II: Surface Mass
Balance (1840–2010), J. Clim., 26(18), 6974–6989, 2013.
<span
style='font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:
Symbol'>·
Box, J. E. and Colgan, W.: Greenland Ice Sheet
Mass Balance Reconstruction. Part III: Marine Ice Loss and Total Mass Balance
(1840–2010), J. Clim., 26(18), 6990–7002, 2013.
<span
style='font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:
Symbol'>·
Box, J. E., Cressie, N., Bromwich, D. H., Jung,
J.-H., van den Broeke, M., van Angelen, J. H., Forster, R. R., Miège, C.,
Mosley-Thompson, E., Vinther, B. and McConnell, J. R.: Greenland Ice Sheet Mass
Balance Reconstruction. Part I: Net Snow Accumulation (1600–2009), J. Clim.,
26(11), 3919–3934, 2013.
<span
style='font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:
Symbol'>·
Cappelen, J.: DMI monthly climate data
collection 1768– 2010, Denmark, the Faroe Islands and Greenland, Danish
Meteorological Institute., 2011.
<span
style='font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:
Symbol'>·
Cappelen, J., Jørgensen, B. V., Laursen, E. V.,
Stannius, L. S. and Thomsen, R. S.: The observed climate of Greenland, 1958–99
with climatological standard normals, Danish Meteorological Institute.,
Technical Report 00-18, 151 pp., 2001.
<span
style='font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:
Symbol'>·
Cappelen, J., Laursen, E. V., Jørgensen, P. V.
and Kern-Hansen, C.: DMI monthly climate data collection 1768–2005, Denmark,
the Faroe Islands and Greenland, Danish Meteorological Institute., 2006.
<span
style='font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:
Symbol'>·
Ettema, J., van den Broeke, M. R., van
Meijgaard, E., van de Berg, W. J., Box, J. E. and Steffen, K.: Climate of the
Greenland ice sheet using a high-resolution climate model – Part 1: Evaluation,
The Cryosphere, 4(4), 511–527, 2010.
<span
style='font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:
Symbol'>·
Kjeldsen, K. K., Korsgaard, N. J., Bjørk, A. A.,
Khan, S. A., Box, J. E., Funder, S., Larsen, N. K., Bamber, J. L., Colgan, W.,
van den Broeke, M., Siggaard-Andersen, M.-L., Nuth, C., Schomacker, A.,
Andresen, C. S., Willerslev, E. and Kjær, K. H.: Spatial and temporal
distribution of mass loss from the Greenland Ice Sheet since AD 1900, Nature,
528(7582), 396–400, 2015.
<span
style='font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:
Symbol'>·
Pfeffer, W. T., Meier, M. F. and Illangasekare,
T. H.: Retention of Greenland runoff by refreezing: Implications for projected
future sea level change, J. Geophys. Res., 96, 22,117, 1991.
<span
style='font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:
Symbol'>·
Rignot, E., Box, J. E., Burgess, E. and Hanna,
E.: Mass balance of the Greenland ice sheet from 1958 to 2007, Geophysical
Research Letters, 35(20), doi:10.1029/2008gl035417, 2008.
<span
style='font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:
Symbol'>·
Rignot, E., Velicogna, I., van den Broeke, M.
R., Monaghan, A. and Lenaerts, J. T. M.: Acceleration of the contribution of the
Greenland and Antarctic ice sheets to sea level rise, Geophys. Res. Lett.,
38(5), doi:10.1029/2011gl046583, 2011.
<span
style='font-family:Symbol;mso-fareast-font-family:Symbol;mso-bidi-font-family:
Symbol'>·
Vinther, B. M., Andersen, K. K., Jones, P. D.,
Briffa, K. R. and Cappelen, J.: Extending Greenland temperature records into
the late eighteenth century, J. Geophys. Res., 111(D11),
doi:10.1029/2005jd006810, 2006.
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[Report to Chief J. E. Curry, by an unknown author #1]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
[Report to Chief J. E. Curry, by an unknown author #2]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
The J-Box Problem
No full textThe study group was presented with the problem of determining the behaviour of a web of wet cellulose fibres - called a tow - as it passes through part of the manufacturing process. The name of the problem derives from the fact that on its passage down the production line the tow passes through a J-shaped box, whose purpose is to provide a buffer where the tow is stored long enough and hot enough for certain chemical reactions to take place, mainly concerned with giving the right quality to the fibre surface. (The production line in fact involves two J-boxes, one containing wet tow, the other dry, and we are here entirely concerned with the first of these, the wet J-box.)
Three aspects of the tow behaviour were proposed for investigation:
1. What is the mechanical behaviour of the tow within the J-box ? Specifically, how do the time spent within the J-box and the shape of the tow outlet column depend on the J- box geometry, tow density and compressibility, flow rate, friction coefficients etc.
2. What is the temperature history, and hence the chemical history, of the tow within the J-box?
3. Why do dislocations and loops occur within the tow?
We first give typical parameters and other details of the process, and then further details of these three questions
Box, J E, 1731552
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/372979Surname: BOX
Given Name(s) or Initials: J E
Military Service Number or Last Known Location: 1731552
Missing, Wounded and Prisoner of War Enquiry Card Index Number: SEA-3655184020
Item: [2016.0049.05301] "Box, J E, 1731552
THE IMPACTS OF NEST BOX TEMPERATURE ON EASTERN BLUEBIRD (SIALIA SIALIS) CLUTCH SIZE, HATCH RATES, AND INCUBATION DURATION IN CENTRAL GEORGIA
No full textRising global temperatures due to climate change have caused declines in many bird species, primarily because temperature is a primary factor in nest site selection and nest success. For example, temperatures exceeding 42°C can have reproductive consequences for nesting females during the incubation stage, including smaller clutch size, low hatch rates, and a shorter incubation period. Secondary cavity nesting birds such as the Eastern Bluebird are particularly vulnerable as common occupants of nest boxes, which are often warmer inside than the outside ambient temperature. We monitored 67 Eastern Bluebird nest boxes at two sites in central Georgia during the bluebird breeding season from 2022-2024. Each nest box contained data loggers on the inside of the nest box that recorded temperature every hour. We examined the relationships between two temperature variables (average daily high nest temperature and the number of hours spent at or above 42°C) and nest success variables (clutch size, hatch rate, incubation days) using generalized linear models. Clutch size declines were significantly associated with increases in average daily high temperature and hatch rates were significantly associated with hours at or above 42°C, which could be due to both embryonic physiological complications and adult behavioral adjustments that lead to delayed or halted embryonic development in the egg, thus reducing the number of fledges per nest. Incubation duration was not associated with either of our temperature variables. Successful management practices for secondary cavity nesting birds will require temperature mitigation and predator deterrence techniques as global temperatures continue to rise
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