Ben-Gurion University of the Negev

About: Ben-Gurion University of the Negev is a education organization based out in Beersheba, Israel. It is known for research contribution in the topics: Population & Poison control. The organization has 24300 authors who have published 60851 publications receiving 1484608 citations. The organization is also known as: Universitat Ben Gurion Banegev & Universiṭat Ben-Guryon ba-Negev.

A multi-method multi-trait test of the dual-attitude perspective.

Abstract: The dual-attitude perspective posits that it is useful for research and theory to assume two distinct constructs: explicit and implicit attitudes (or automatic and deliberate evaluation). Much evidence supports this perspective, but some important tests are missing, casting doubts on studies that relied on the perspective for inference. We used a multimethod multitrait design to extensively test the validity of the dual perspective. The dataset (N = 24,015) included measurements of attitudes in 3 domains (race, politics, the self) with 7 indirect measures, and at least 3 self-report measures for each attitude domain. The dual-attitude model fit the data better than a single-attitude model. Six of the 7 indirect measures were related to the implicit construct more than to the explicit construct. The evidence supports the dual-attitude perspective, bolsters the validation of 6 indirect measures, and clears doubts from countless previous studies that used only one indirect measure to draw conclusions about implicit attitudes. (PsycINFO Database Record

KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics.

Abstract: Real-time state estimation of dynamical systems is a fundamental task in signal processing and control. For systems that are well-represented by a fully known linear Gaussian state space (SS) model, the celebrated Kalman filter (KF) is a low complexity optimal solution. However, both linearity of the underlying SS model and accurate knowledge of it are often not encountered in practice. Here, we present KalmanNet, a real-time state estimator that learns from data to carry out Kalman filtering under non-linear dynamics with partial information. By incorporating the structural SS model with a dedicated recurrent neural network module in the flow of the KF, we retain data efficiency and interpretability of the classic algorithm while implicitly learning complex dynamics from data. We numerically demonstrate that KalmanNet overcomes nonlinearities and model mismatch, outperforming classic filtering methods operating with both mismatched and accurate domain knowledge.

Distribution of lattice orbits on homogeneous varieties

Abstract: Given a lattice \Gamma in a locally compact group G and a closed subgroup H of G, one has a natural action of \Gamma on the homogeneous space V=H\G. For an increasing family of finite subsets {\Gamma_T: T>0}, a dense orbit v\Gamma, v\in V, and compactly supported function \phi on V, we consider the sums S_{\phi,v}(T)=\sum_{\gamma\in \Gamma_T} \phi(v \gamma). Understanding the asymptotic behavior of S_{\phi,v}(T) is a delicate problem which has only been considered for certain very special choices of H, G and {\Gamma_T}. We develop a general abstract approach to the problem, and apply it to the case when G is a Lie group and either H or G is semisimple. When G is a group of matrices equipped with a norm, we have S_{\phi,v}(T) \sim \int_{G_T} \phi(vg) dg, where G_T={g\in G:||g||

Bricks made of coal fly-ash and slag, cured in the open air

Abstract: Volume mass, compressive strength, water uptake and water absorption of pressed test samples made of a mixture of coal fly-ash, slag and sodium silicate solution (water-glass) were determined. It was found that such mixtures can solidify in the open air and form water-stable materials. The composition and structure of new formations for the binder and cured material itself were established using X-ray diffraction and a scanning electron microscope. The material has a high water uptake, which may be reduced using a number of different methods, the best of which is short-term impregnation with a hydrophobic material of the siloxane group. The water uptake and water absorption of compressed samples impregnated with such materials are similar to those of comparable building materials, such as lime-sand bricks, clay bricks or concrete blocks.