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The papers in this volume explore the cognitive neuroscience of second language acquisition from the perspectives of critical/sensitive periods, maturational effects, individual differences, neural regions involved, and processing characteristics. The research methodologies used include functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and event related potentials (
Side-channel resilience is a crucial feature when assessing whether a postquantum cryptographic proposal is sufficiently mature to be deployed. In this paper, we propose a generic and efficient adaptive approach to improve the sample complexity (i.e., the required number of traces) of plaintext-checking (PC) oracle-based sidechannel attacks (SCAs), a major class of key recovery chosen-ciphertext S
Activation functions play a central role in deep learning since they form an essential building stone of neural networks. In the last few years, the focus has been shifting towards investigating new types of activations that outperform the classical Rectified Linear Unit (ReLU) in modern neural architectures. Most recently, rational activation functions (RAFs) have awakened interest because they w
Many hand-held or mixed reality devices are used with a single sensor for 3D reconstruction, although they often comprise multiple sensors. Multi-sensor depth fusion is able to substantially improve the robustness and accuracy of 3D reconstruction methods, but existing techniques are not robust enough to handle sensors which operate with diverse value ranges as well as noise and outlier statistics
There exist several datasets for developing self-driving car methodologies. Manually collected datasets impose inherent limitations on the variability of test cases and it is particularly difficult to acquire challenging scenarios, e.g. ones involving collisions with pedestrians. A way to alleviate this is to consider automatic generation of safety-critical scenarios for autonomous vehicle (AV) te
The phase gradient autofocus (PGA) is a robust autofocusing approach that can efficiently refocus defocused synthetic aperture radar (SAR) imagery produced by frequency-domain algorithms. However, from a conventional viewpoint, PGA cannot be extended to refocus SAR imagery produced by time-domain algorithms, such as the filtered backprojection (FBP), as the spectrum of the FBP imagery is range amb
Impulsive noise is one of the most challenging forms of interference in an underwater acoustic environment. In this paper, we present an underwater acoustic channel deconvolution method based on a sparse representation framework. The application of the method enables a channel impulse response reconstruction that is robust to impulsive noise. By exploiting the inherent structure in the channel res
BackgroundThe primary aim of specialised palliative care (SPC) is to improve the quality of life (QoL) for patients with a high symptom burden from a life-threatening disease. This randomised study aimed to assess the QoL impact of early integration of SPC alongside tumour-specific palliative treatment in patients with gastrointestinal (GI) cancers.MethodsWe randomly assigned ambulatory patients w
For a generalized (or non-central) camera model, the minimal problem for two views of six points has efficient solvers. However, minimal problems of three views with four points and three views of six lines have not yet been explored and solved, despite the efforts from the computer vision community. This paper develops the formulations of these two minimal problems and shows how state-of-the-art
Given a sensor network, TDOA self-calibration aims at simultaneously estimating the positions of receivers and transmitters, and transmitters time offsets. This can be formulated as a system of polynomial equations. Due to the elevated number of unknowns and the nonlinearity of the problem, obtaining an accurate solution efficiently is nontrivial. Previous work has shown that iterative algorithms
Extreme weather events like floods are expected to become more common asclimate change continues, putting health at risk. Systems should be able tocontinue delivering essential health services when shocked by events like floodsand provide care for the expected new health needs caused by the shock.Resilient health systems have the capacity to maintain their functions and tochange when shocked, enab
Monocular depth estimation is a highly challenging problem that is often addressed with deep neural networks. While these use recognition of high level image features to predict reasonably looking depth maps,the result often has poor metric accuracy. Moreover,the standard feed forward architecture does not allow modification of the prediction based on cues other than the image.In this paper we rel
Ground source heat pump systems, operating in conjunction with vertical ground heat exchangers, will play a key role in decarbonising heating and cooling of buildings. Design of traditional borehole heat exchangers relies on tools which implement routine analytical relationships between heat transferred and the temperature change in the ground and circulating thermal fluid. However, for novel pile
Conjugate addition of lithium methylcyanocuprate to the titlealdehydes proceeded with high diastereoselectivity (d.e. 94%). Methyl lithium 1,2-addition, followed by Swern oxidation of the resultingalcohols, gave benzyl botryodiplodin and benzyl epi-botryodiplodin.Hydrogenolysis of the benzyl groups gave the enantiomeric pairs ofbotryodiplodin 10r and 10s and epi-botryodiplodin (9r and 9s).
In compressed sensing a sparse vector is approximately retrieved from an underdetermined equation system Ax = b. Exact retrievalwouldmean solving a large combinatorial problem which is well known to be NP-hard. For b of the form Ax0 + ϵ, where x0 is the ground truth and ϵ is noise, the 'oracle solution' is the one you get if you a priori know the support of x0, and is the best solution one could h
I jordbrukslandskapet produceras en mängd ekosystemtjänster, där mat, foder och fiber kanske är de mest uppenbara. För att dessa försörjande tjänster skall kunna produceras på ett långsiktigt hållbart sätt krävs även en rad så kallade intermediära ekosystemtjänster, som kretslopp av näringsämnen, pollinering, naturlig kontroll av skadeinsekter och reglering av vattenflöden. Även om dessa ekosystem
In 2007 more than a quarter (26%) of the South African adult population was functionally illiterate. As a result many non-profit organisations (NPOs) in South Africa strive to raise adult literacy levels. Adult illiteracy leads to problems such as, amongst others, high levels of unemployment, poverty and crime.Most NPOs do not practice strategic communication management to build strong, lasting an
We consider a perturbation problem for embedded eigenvalues of a self-adjoint differential operator in L2(R;Rn). In particular, we study the set of all small perturbations in an appropriate Banach space for which the embedded eigenvalue remains embedded in the continuous spectrum. We show that this set of small perturbations forms a smooth manifold and we specify its co-dimension. Our methods invo
