High frequency oscillations as a correlate of visual perception

“NOTICE: this is the author’s version of a work that was accepted for publication in International journal of psychophysiology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International journal of psychophysiology , 79, 1, (2011) DOI 10.1016/j.ijpsycho.2010.07.004Peer reviewedPostprin

Confronting The Difference: Ethnicity And Patterns Of Achievement In Initial Teacher Education For The Further Education And Skills Sector

In Higher Education (HE), an ongoing and incompletely understood achievement gap in degree classification has been identified between white and Black and Minority Ethnic (BME) students. BME students have been found to achieve less well than their white counterparts, even when initial A Level grades are the same. This paper examines a related issue, which has received scant attention; ethnicity and differential achievement in Initial Teacher Education (ITE) for the Further Education (FE) and Skills Sector. At the University which provides the focus for this paper, BME students are well-represented overall, and specifically well-represented on ITE provision for the sector. The introduction of a teaching observation grading pilot during 2010-11 made possible a detailed analysis of an aspect of ITE trainee progression and achievement. This paper presents the findings of further analyses of grading for the overall University trainee cohort, where differential achievement by ethnicity has been revealed. Strategies designed to promote the achievement of all trainees will be discussed

Single-pulse classifier for the LOFAR Tied-Array All-sky Survey

Searches for millisecond-duration, dispersed single pulses have become a standard tool used during radio pulsar surveys in the last decade. They have enabled the discovery of two new classes of sources: rotating radio transients and fast radio bursts. However, we are now in a regime where the sensitivity to single pulses in radio surveys is often limited more by the strong background of radio frequency interference (RFI, which can greatly increase the false-positive rate) than by the sensitivity of the telescope itself. To mitigate this problem, we introduce the Single-pulse Searcher (SPS). This is a new machine-learning classifier designed to identify astrophysical signals in a strong RFI environment, and optimized to process the large data volumes produced by the new generation of aperture array telescopes. It has been specifically developed for the LOFAR Tied-Array All-Sky Survey (LOTAAS), an ongoing survey for pulsars and fast radio transients in the northern hemisphere. During its development, SPS discovered seven new pulsars and blindly identified ˜80 known sources. The modular design of the software offers the possibility to easily adapt it to other studies with different instruments and characteristics. Indeed, SPS has already been used in other projects, e.g. to identify pulses from the fast radio burst source FRB 121102. The software development is complete and SPS is now being used to re-process all LOTAAS data collected to date

Early Recognition of Human Activities from First-Person Videos Using Onset Representations

In this paper, we propose a methodology for early recognition of human activities from videos taken with a first-person viewpoint. Early recognition, which is also known as activity prediction, is an ability to infer an ongoing activity at its early stage. We present an algorithm to perform recognition of activities targeted at the camera from streaming videos, making the system to predict intended activities of the interacting person and avoid harmful events before they actually happen. We introduce the novel concept of 'onset' that efficiently summarizes pre-activity observations, and design an approach to consider event history in addition to ongoing video observation for early first-person recognition of activities. We propose to represent onset using cascade histograms of time series gradients, and we describe a novel algorithmic setup to take advantage of onset for early recognition of activities. The experimental results clearly illustrate that the proposed concept of onset enables better/earlier recognition of human activities from first-person videos

Are There Options to Prevent Early Occurring Deaths in Acute Myocardial Infarction: Prospective Evaluation of All < 24 h In-Hospital Deaths, 2004-2006-The MONICA/KORA Augsburg Infarction Registry

Objectives: To provide valid clinical data of early in-hospital deaths with presumed acute myocardial infarction (AMI) who are often not included in clinical trials or registries. Methods: From August 2004 to August 2006 all patients (age 25-84 years) dying within 24 h after hospitalization in a large tertiary care academic teaching hospital were screened regarding an underlying cardiovascular cause of death. Results: After validation, 79 out of 1,352 patients remained with a final diagnosis of AMI. Sixty-six percent of these experienced prehospital cardiac arrest or shock. In 37% no resuscitation attempts were performed in-hospital, the most common reason being multimorbidity. Only 23% could be transferred to coronary angiography for revascularisation attempts. An independent panel of clinicians judged that only in one patient would another management strategy have been promising. Of interest, 33% of the deceased patients had typical or atypical chest pain the days before the lethal event. Conclusion: A large percentage of AMI patients who died soon after hospitalization were in critical circulatory state directly before hospitalization. In 37%, in-hospital resuscitation attempts were omitted for understandable reasons. Options for improvement in acute care in the investigated setting were not found. However, in one third of the cases earlier preventive measures might have been reasonable. Copyright (C) 2010 S. Karger AG, Base

Probabilistic prediction of rupture length, slip and seismic ground motions for an ongoing rupture: implications for early warning for large earthquakes

Earthquake EarlyWarning (EEW) predicts future ground shaking based on presently available data. Long ruptures present the best opportunities for EEW since many heavily shaken areas are distant from the earthquake epicentre and may receive long warning times. Predicting the shaking from large earthquakes, however, requires some estimate of the likelihood of the future evolution of an ongoing rupture. An EEW system that anticipates future rupture using the present magnitude (or rupture length) together with the Gutenberg-Richter frequencysize statistics will likely never predict a large earthquake, because of the rare occurrence of ‘extreme events’. However, it seems reasonable to assume that large slip amplitudes increase the probability for evolving into a large earthquake. To investigate the relationship between the slip and the eventual size of an ongoing rupture, we simulate suites of 1-D rupture series from stochastic models of spatially heterogeneous slip. We find that while large slip amplitudes increase the probability for the continuation of a rupture and the possible evolution into a ‘Big One’, the recognition that rupture is occurring on a spatially smooth fault has an even stronger effect.We conclude that anEEWsystem for large earthquakes needs some mechanism for the rapid recognition of the causative fault (e.g., from real-time GPS measurements) and consideration of its ‘smoothness’. An EEW system for large earthquakes on smooth faults, such as the San Andreas Fault, could be implemented in two ways: the system could issue a warning, whenever slip on the fault exceeds a few metres, because the probability for a large earthquake is high and strong shaking is expected to occur in large areas around the fault. A more sophisticated EEW system could use the present slip on the fault to estimate the future slip evolution and final rupture dimensions, and (using this information) could provide probabilistic predictions of seismic ground motions along the evolving rupture. The decision on whether an EEW system should be realized in the first or in the second way (or in a combination of both) is user-specific