Entanglement between the future and past in the quantum vacuum

We note that massless fields within the future and past light cone may be quantized as independent systems. We show that the vacuum is an entangled state of these systems, exactly mirroring the known entanglement between the spacelike separated Rindler wedges. We describe a detector which exhibits a thermal response to the vacuum when switched on at t=0. The feasibility of experimentally detecting this effect is discussed.Comment: 4 pages, 1 figur

High-performance light-weight electrodes for hydrogen-oxygen fuel cells

High performance light weight electrodes for hydrogen oxygen fuel cell

Point Defect Dynamics in Two-Dimensional Colloidal Crystals

We study the topological configurations and dynamics of individual point defect vacancies and interstitials in a two-dimensional colloidal crystal. Our Brownian dynamics simulations show that the diffusion mechanism for vacancy defects occurs in two phases. The defect can glide along the crystal lattice directions, and it can rotate during an excited topological transition configuration to assume a different direction for the next period of gliding. The results for the vacancy defects are in good agreement with recent experiments. For the interstitial point defects, which were not studied in the experiments, we find several of the same modes of motion as in the vacancy defect case along with two additional diffusion pathways. The interstitial defects are more mobile than the vacancy defects due to the more two-dimensional nature of the diffusion of the interstitial defects.Comment: 8 pages, 9 postscript figures. Version to appear in Phys. Rev.

Dewatering well assessment for the highway drainage system at four sites in the East St. Louis area, Illinois: FY 92 Phase 9

"Prepared for the Illinois Department of Transportation.

Dewatering well assessment for the highway drainage system at five sites in the East St. Louis area, Illinois: FY 94 Phase 11

"Prepared for the Illinois Department of Transportation.

Producers' Use of Crop Borders for Management of Potato Virus Y (PVY) in Seed Potatoes

Potato virus Y (PVY) is a very serious problem throughout most major seed potato producing states. Seed potato producers in Minnesota and North Dakota were surveyed in early 2005 to assess their perception of the profitability and risks associated with using crop borders to manage PVY in seed lots. Five of the 23 producers responding (a 25% response rate) said they had used crop borders in 2004. These 23 producers entered 152 seed lots into state seed certification programs. On average, producers had less than 0.1 seed lots rejected for PVY based on summer inspection. The average number of seed lots rejected in winter trials was 1.7. Of the 152 seed lots, these producers said they had entered into state seed certification programs, they reported detailed information on 108 lots. Generations 1 and 2 were the most likely generations to be protected by a crop border. Of these 108 seed lots, 104 passed summer inspection for PVY. Seventy-four percent of the 89 lots sent in for the winter test were reported to have passed. The use of crop borders was significant in explaining whether a seed lot had passed the winter test or not. Thirty-one (97%) of the 32 seed lots that were planted within a crop border passed the winter test while 31 (54%) of the 57 seed lots that were not planted with a crop border passed the winter test. No relationship was found between the choice of border crop and passing the winter test. Producers also were asked to state their agreement or disagreement with several statements regarding their knowledge and opinions on use of crop borders.Crop Production/Industries,

Dewatering well assessment for the highway drainage system at four sites in the East St. Louis area, Illinois: FY 93 Phase 10

"Prepared for the Illinois Department of Transportation.

Uncollected Essays

Foreword by Paul A. Olson • Buzones, an Alternative Etymology • The Manuel des Péchés and an English Episcopal Decree • Correspondence – The Manuel des Péchés • A Note on the Classical Origin of ‘Circumstances’ in the Medieval Confessional • A Study of Certain Aspects of the Cultural Tradition of ‘Handlyng Synne’ • The Cultural Tradition of Handlyng Synne • Marie de France, Lais, Prologue, 13-16 • Cumhthach Labhras an Lonsa • Chaucerian Tragedy • St. Foy among the Thorns • Amors de terra lonhdana • The Subject of the De Amore of Andreas Capellanus • Why the Devil Wears Green • A Further Note on Conjointure • The Book of the Duchess • Chaucer Criticism • “And for my land thus hastow mordred me?” Land Tenure, the Cloth Industry, and the Wife of Bath • Chaucer and the “Commune Profit”: The Manor • The Intellectual, Artistic and Historical Context • Religion and Stylistic History • Simple Signs from Everyday Life in Chaucer • Chaucer and Christian Tradition • The Wife of Bath and Midas • The Probable Date and Purpose of Chaucer’s Troilus • Who Were “The People”? • Chaucer and the Economic and Social Consequences of the Plague • The Probable Date and Purpose of Chaucer’s Knight’s Tale • The Physician’s Comic Tale • Wisdom and “The Manciple’s Tale”: A Chaucerian Comic Interlude ISBN: 978-1-60962-113-1 doi: 10.13014/K23776W6https://digitalcommons.unl.edu/zeabook/1060/thumbnail.jp

Unsupervised decoding of long-term, naturalistic human neural recordings with automated video and audio annotations

Fully automated decoding of human activities and intentions from direct neural recordings is a tantalizing challenge in brain-computer interfacing. Most ongoing efforts have focused on training decoders on specific, stereotyped tasks in laboratory settings. Implementing brain-computer interfaces (BCIs) in natural settings requires adaptive strategies and scalable algorithms that require minimal supervision. Here we propose an unsupervised approach to decoding neural states from human brain recordings acquired in a naturalistic context. We demonstrate our approach on continuous long-term electrocorticographic (ECoG) data recorded over many days from the brain surface of subjects in a hospital room, with simultaneous audio and video recordings. We first discovered clusters in high-dimensional ECoG recordings and then annotated coherent clusters using speech and movement labels extracted automatically from audio and video recordings. To our knowledge, this represents the first time techniques from computer vision and speech processing have been used for natural ECoG decoding. Our results show that our unsupervised approach can discover distinct behaviors from ECoG data, including moving, speaking and resting. We verify the accuracy of our approach by comparing to manual annotations. Projecting the discovered cluster centers back onto the brain, this technique opens the door to automated functional brain mapping in natural settings