The Diffusion of the Internet and the Geography of the Digital Divide in the United States

This paper analyses the rapid diffusion of the Internet across the United States over the past decade for both households and firms. We put the Internet's diffusion into the context of economic diffusion theory where we consider costs and benefits on the demand and supply side. We also discuss several pictures of the Internet's physical presence using some of the current main techniques for Internet measurement. We highlight different economic perspectives and explanations for the digital divide, that is, unequal availability and use of the Internet.

Sensitivity and parameter-estimation precision for alternate LISA configurations

We describe a simple framework to assess the LISA scientific performance (more specifically, its sensitivity and expected parameter-estimation precision for prescribed gravitational-wave signals) under the assumption of failure of one or two inter-spacecraft laser measurements (links) and of one to four intra-spacecraft laser measurements. We apply the framework to the simple case of measuring the LISA sensitivity to monochromatic circular binaries, and the LISA parameter-estimation precision for the gravitational-wave polarization angle of these systems. Compared to the six-link baseline configuration, the five-link case is characterized by a small loss in signal-to-noise ratio (SNR) in the high-frequency section of the LISA band; the four-link case shows a reduction by a factor of sqrt(2) at low frequencies, and by up to ~2 at high frequencies. The uncertainty in the estimate of polarization, as computed in the Fisher-matrix formalism, also worsens when moving from six to five, and then to four links: this can be explained by the reduced SNR available in those configurations (except for observations shorter than three months, where five and six links do better than four even with the same SNR). In addition, we prove (for generic signals) that the SNR and Fisher matrix are invariant with respect to the choice of a basis of TDI observables; rather, they depend only on which inter-spacecraft and intra-spacecraft measurements are available.Comment: 17 pages, 4 EPS figures, IOP style, corrected CQG versio

EgoBlur: Responsible Innovation in Aria

Project Aria pushes the frontiers of Egocentric AI with large-scale real-world data collection using purposely designed glasses with privacy first approach. To protect the privacy of bystanders being recorded by the glasses, our research protocols are designed to ensure recorded video is processed by an AI anonymization model that removes bystander faces and vehicle license plates. Detected face and license plate regions are processed with a Gaussian blur such that these personal identification information (PII) regions are obscured. This process helps to ensure that anonymized versions of the video is retained for research purposes. In Project Aria, we have developed a state-of-the-art anonymization system EgoBlur. In this paper, we present extensive analysis of EgoBlur on challenging datasets comparing its performance with other state-of-the-art systems from industry and academia including extensive Responsible AI analysis on recently released Casual Conversations V2 dataset

Expressions 1998-1999

https://openspace.dmacc.edu/expressions/1018/thumbnail.jp

Preindustrial control simulations with HadGEM3-GC3.1 for CMIP6

Pre‐industrial control simulations with the HadGEM3‐GC3.1 climate model are presented at two resolutions. These are N216ORCA025, which has a horizontal resolution of 60km in the atmosphere and 0.25° in the ocean, and N96ORCA1, which has a horizontal resolution of 130km in the atmosphere and 1° in the ocean. The aim of this study is to document the climate variability in these simulations, make comparisons against present‐day observations (albeit under different forcing), and discuss differences arising due to resolution. In terms of interannual variability in the leading modes of climate variability the two resolutions behave generally very similarly. Notable differences are in the westward extent of El‐Niño and the pattern of Atlantic multidecadal variability, in which N216ORCA025 compares more favourably to observations, and in the Antarctic Circumpolar Current, which is far too weak in N216ORCA025. In the North Atlantic region, N216ORCA025 has a stronger and deeper AMOC, which compares well against observations, and reduced biases in temperature and salinity in the North Atlantic subpolar gyre (NA SPG). These simulations are being provided to the sixth Coupled Model Intercomparison Project (CMIP6) and provide a baseline against which further forced experiments may be assessed

Crop Updates 2005 - Lupins and Pulses

This session covers sixty five papers from different authors: 1. 2004 LUPIN AND PULSE INDUSTRY HIGHLIGHTS, Peter White Department of Agriculture 2. BACKGROUND, Peter White Department of Agriculture 2004 REGIONAL ROUNDUP 3. Northern Agricultural Region, Martin Harries, Department of Agriculture 4. Central Agricultural Region, Ian Pritchard, Department of Agriculture 5. Great Southern and Lakes, Rodger Beermier, Department of Agriculture 6. Esperance Port Zone, Mark Seymour, Department of Agriculture, and David Syme, The Grain Pool of WA LUPIN AND PULSE PRODUCTION AGRONOMY AND GENETIC IMPROVEMENT 7. Lupin, Martin Harries, Department of Agriculture 8. Narrow-leafed lupin breeding, Bevan Buirchell, Department of Agriculture 9. Yellow lupin breeding in Western Australia, Kedar Adhikari, Mark Sweetingham and Bevan Buirchell, Department of Agriculture 10. WALAB2000 - First Anthracnose resistant albus lupins, Kedar Adhikari, Bevan Buirchell, MarkSweetingham and Geoff Thomas, Department of Agriculture 11. Improving lupin grain quality and yield through genetic manipulation of key physiological traits, Jon Clements1 and Bevan Buirchell2,1CLIMA, The University of Western Australia 2Department of Agriculture 12. Lupin alkaloids in four Australian species, Shao Fang Wang, Chemistry Centre (WA), CLIMA, The University of Western Australia 13. Improving lupin tolerance to herbicides of metribuzin, isoxaflutole and carfentrazone-ethyl, Ping Si1, Mark Sweetingham12, Bevan Buirchell12, David Bowran2 and Huaan Yang12 , 1CLIMA, The University of Western Australia, 2Department of Agriculture 14. Combined cultural and shielded sprayer herbicide application for weed management, Martin Harries and Mike Baker Department of Agriculture 15. Field testing of lupin seed of various sources with and without post maturity, pre harvest rain for field establishment, Martin Harries, Wayne Parker, Mike Baker, Department of Agriculture 16. Lupin seed rate by wide row spacing, Martin Harries, Bob French, Damien Owen D’arcy, Department of Agriculture 17. How environment influences row spacing response in lupins, Bob French, Department of Agriculture 18. The effect of wider row spacing on lupin architecture, growth and nutrient uptake dynamics, Bill Bowden and Craig Scanlan, Department of Agriculture 19. Fertiliser placement and application rate in wide rows, Martin Harries, Damien Owen D’arcy, Department of Agriculture 20. The pros and cons of cowing lupins in ‘wide’ rows, Wayne Parker, Bob French and Martin Harries, Department of Agriculture 21. Investigation into the influence of row orientation in lupin crops, Jeff Russell1 and Angie Roe2, 1Department of Agriculture, 2Farm Focus Consultants 22. Making the most of Mandelup, Greg Shea and Chris Matthews, Department of Agriculture 23. The effect of wild radish density and lupin cultivars on their competition at Merredin, Shahab Pathan, Abul Hashem and Bob French, Department of Agriculture 24. The potential of pearl lupin (Lupinus mutabilis) for southern Australia, Jon Clements1, Mark Sweetingham2, Bevan Buirchell2, Sofia Sipsas2, Geoff Thomas2, John Quealy1, Roger Jones2, Clive Francis1, Colin Smith2 and Gordon Francis1, 1CLIMA, University of Western Australia 2Department of Agriculture 25. Field pea, Mark Seymour, Department of Agriculture 26. Breeding highlights, Tanveer. Khan and Bob French, Department of Agriculture 27. Variety evaluation, Tanveer Khan, Kerry Regan, Jenny Garlinge and Rod Hunter, Department of Agriculture 28. Large scale field pea variety trials, Martin Harries, Department of Agriculture 29. Kaspa demonstrations, Rodger Beermier, Mark Seymour, Ian Pritchard, Graham Mussell, Department of Agriculture 30. Field pea harvesting demonstration at Merredin, Glen Riethmuller, Greg Shea and Bob French, Department of Agriculture 31. Does Kaspa respond differently to disease, fungicides, time of sowing or seed rate, Mark Seymour, Department of Agriculture 32. Field pea response to foliar Manganese in mallee district, Mark Seymour, Department of Agriculture 33. Kaspa harvesting observations 2004, Mark Seymour, Ian Pritchard, Glen Riethmuller, Department of Agriculture 34. ‘Blackspot Manager’ for understanding blackspot of peas and ascochyta blight management, Moin Salam and Jean Galloway, Department of Agriculture 35. 250,000 ha of field pea in WA – Is it sustainable? Larn McMurray1 and Mark Seymour2, 1South Australian Research and Development Institute, 2Department of Agriculture 36. Desi chickpea, Wayne Parker, Department of Agriculture 37. Breeding highlights, Tanveer Khan1,2 and Kadambot Siddique2,1Department of Agriculture, 2CLIMA, The University of Western Australia 38. Variety evaluation, Tanveer Khan, Kerry Regan, Jenny Garlinge and Rod Hunter, Department of Agriculture 39. Large scale variety testing of desi chickpeas, Martin Harries, Greg Shea, Mike Baker, Dirranie Kirby, Department of Agriculture 40. Desi variety chickpea trial, Martin Harries and Murray Blyth, Department of Agriculture 41. Seeding rates and row spacing of chickpea desi, Martin Harries, MurrayBlyth, Damien Owen D’arcy, Department of Agriculture 42. Molecular characterisation of chickpea wild relatives, Fucheng Shan, Heather Clarke and Kadambot Siddique, CLIMA, The University of Western Australia 43. Plant phosphorus status has a limited influence on the concentration of phosphorus-mobilising carboxylates in the rhizosphere of chickpea, Madeleine Wouterlood, Hans Lambers and Erik Veneklaas, The University of Western Australia 44. Kabuli chickpea, Kerry Regan, Department of Agriculture, and CLIMA, The University of Western Australia 45. ‘Kimberly Large’ A high quality and high yielding new variety for the Ord River Irrigation Area, Kerry Regan1,2, Kadambot Siddique2, Peter White1,2, Peter Smith1 and Gae Plunkett1,1Department of Agriculture, 2CLIMA, University of Western Australia 46. Development of ascochyta resistant and high quality varieties for Australia, Kadambot Siddique1, Kerry Regan1,2, Tim Pope1 and Mike Baker2, 1CLIMA, The University of Western Australia 2Department of Agriculture 47. Towards double haploids in chickpeas and field pea, Janine Croser, Julia Wilson and Kadambot Siddique, CLIMA, The University of Western Australia 48. Crossing chickpea with wild Cicer relatives to introduce resistance to disease and tolerance to environmental stress, Heather Clarke and Kadambot Siddique, CLIMA, The University of Western Australia 49. Faba bean, Peter White, Department of Agriculture 50. Germplasm evaluation, Peter White1,2, Kerry Regan1,2, Tim Pope2, Martin Harries1, Mark Seymour1, Rodger Beermier1 and Leanne Young1, 1Department of Agriculture, 2CLIMA, The University of Western Australia 51. Lentil, Kerry Regan, Department of Agriculture, and CLIMA, The University of Western Australia 52. Variety and germplasm evaluation, Kerry Regan1,2, Tim Pope2, Leanne Young1, Martin Harries1, Murray Blyth1 and Michael Materne3, 1Department of Agriculture, 2CLIMA, University of Western Australia, 3Department of Primary Industries, Victoria 53. Lathyrus species, Kadambot Siddique1, Kerry Regan2, and Colin Hanbury2, 1CLIMA, the University of Western Australia, 2Department of Agricultur

Distribution and Habitat Associations of Billfish and Swordfish Larvae across Mesoscale Features in the Gulf of Mexico

Ichthyoplankton surveys were conducted in surface waters of the northern Gulf of Mexico (NGoM) over a three-year period (2006–2008) to determine the relative value of this region as early life habitat of sailfish (Istiophorus platypterus), blue marlin (Makaira nigricans), white marlin (Kajikia albida), and swordfish (Xiphias gladius). Sailfish were the dominant billfish collected in summer surveys, and larvae were present at 37.5% of the stations sampled. Blue marlin and white marlin larvae were present at 25.0% and 4.6% of the stations sampled, respectively, while swordfish occurred at 17.2% of the stations. Areas of peak production were detected and maximum density estimates for sailfish (22.09 larvae 1000 m−2) were significantly higher than the three other species: blue marlin (9.62 larvae 1000 m−2), white marlin (5.44 larvae 1000 m−2), and swordfish (4.67 larvae 1000 m−2). The distribution and abundance of billfish and swordfish larvae varied spatially and temporally, and several environmental variables (sea surface temperature, salinity, sea surface height, distance to the Loop Current, current velocity, water depth, and Sargassum biomass) were deemed to be influential variables in generalized additive models (GAMs). Mesoscale features in the NGoM affected the distribution and abundance of billfish and swordfish larvae, with densities typically higher in frontal zones or areas proximal to the Loop Current. Habitat suitability of all four species was strongly linked to physicochemical attributes of the water masses they inhabited, and observed abundance was higher in slope waters with lower sea surface temperature and higher salinity. Our results highlight the value of the NGoM as early life habitat of billfishes and swordfish, and represent valuable baseline data for evaluating anthropogenic effects (i.e., Deepwater Horizon oil spill) on the Atlantic billfish and swordfish populations

The Atacama Cosmology Telescope: A Measurement of the DR6 CMB Lensing Power Spectrum and its Implications for Structure Growth

We present new measurements of cosmic microwave background (CMB) lensing over $9400$ sq. deg. of the sky. These lensing measurements are derived from the Atacama Cosmology Telescope (ACT) Data Release 6 (DR6) CMB dataset, which consists of five seasons of ACT CMB temperature and polarization observations. We determine the amplitude of the CMB lensing power spectrum at $2.3\%$ precision ($43\sigma$ significance) using a novel pipeline that minimizes sensitivity to foregrounds and to noise properties. To ensure our results are robust, we analyze an extensive set of null tests, consistency tests, and systematic error estimates and employ a blinded analysis framework. The baseline spectrum is well fit by a lensing amplitude of $A_{\mathrm{lens}}=1.013\pm0.023$ relative to the Planck 2018 CMB power spectra best-fit $\Lambda$CDM model and $A_{\mathrm{lens}}=1.005\pm0.023$ relative to the $\text{ACT DR4} + \text{WMAP}$ best-fit model. From our lensing power spectrum measurement, we derive constraints on the parameter combination $S^{\mathrm{CMBL}}_8 \equiv \sigma_8 \left({\Omega_m}/{0.3}\right)^{0.25}$ of $S^{\mathrm{CMBL}}_8= 0.818\pm0.022$ from ACT DR6 CMB lensing alone and $S^{\mathrm{CMBL}}_8= 0.813\pm0.018$ when combining ACT DR6 and Planck NPIPE CMB lensing power spectra. These results are in excellent agreement with $\Lambda$CDM model constraints from Planck or $\text{ACT DR4} + \text{WMAP}$ CMB power spectrum measurements. Our lensing measurements from redshifts $z\sim0.5$--$5$ are thus fully consistent with $\Lambda$CDM structure growth predictions based on CMB anisotropies probing primarily $z\sim1100$. We find no evidence for a suppression of the amplitude of cosmic structure at low redshiftsComment: 45+21 pages, 50 figures. Prepared for submission to ApJ. Also see companion papers Madhavacheril et al and MacCrann et a