Data aggregation in Geographic Information Systems (GIS) is a desirable feature, only marginally present in commercial systems nowadays, mostly through ad-hoc solutions. Moreover, little attention has been given to the problem of integrating GIS and OLAP (On Line Analytical Processing) applications. In this paper, we first present a formal model for representing spatial data. This model integra...

A new form of nanoporous material, metal intercalated covalent organic framework (MCOF) is proposed and its energy storage property revealed. Employing density functional and thermodynamical analysis, we find that stable, chemically active, porous materials could form by stacking covalent organic framework (COF) layers with metals as a gluing agent. Metal acts as active sites, while its aggrega...

The crystal structures of the complete series of compounds of the general formula MexGaCl3−x have been determined. New polymorphs of GaCl3 and MeGaCl2 were found. All chloro compounds MexGaCl3−x (x = 0, 1, 2) are dimers with Ga2Cl2 four-membered rings. (GaCl3)2 and (MeGaCl2)2 are aggregated into layers with the same aggregation motif (each molecule connected to four neighbouring molecules), (Me...

Platelet aggregation inhibitory effect and anticoagulant properties of fractions separated from the venoms of Cerastes persicus fieldi and Echis carinatus were investigated. The partial fractionation was performed on a Sephadex G-100 column. Two fractions separated from Cerastes persicus fieldi showed anti platelet aggregation activity on ADP (200 µM)-induced platelet aggregation (ca 80% inhibi...

We introduce Parseval networks, a form of deep neural networks in which the Lipschitz constant of linear, convolutional and aggregation layers is constrained to be smaller than 1. Parseval networks are empirically and theoretically motivated by an analysis of the robustness of the predictions made by deep neural networks when their input is subject to an adversarial perturbation. The most impor...

This paper proposes a class of well-conditioned neural networks in which a unit amount of change in the inputs causes at most a unit amount of change in the outputs or any of the internal layers. We develop the known methodology of controlling Lipschitz constants to realize its full potential in maximizing robustness: our linear and convolution layers subsume those in the previous Parseval netw...

Recently, induced pluripotent stem cells (iPSCs) have been generated in vivo from reprogrammable mice. These in vivo iPSCs display features of totipotency, i.e., they differentiate into the trophoblast lineage, as well as all 3 germ layers. Here, we developed a new reprogrammable mouse model carrying an Oct4-GFP reporter gene to facilitate the detection of reprogrammed pluripotent stem cells. W...

platelet aggregation inhibitory effect and anticoagulant properties of fractions separated from the venoms of cerastes persicus fieldi and echis carinatus were investigated. the partial fractionation was performed on a sephadex g-100 column. two fractions separated from cerastes persicus fieldi showed anti platelet aggregation activity on adp (200 µm)-induced platelet aggregation (ca 80% inhibi...

Water plays an important role in geological processes. Providing constraints on what may influence the distribution of aqueous fluids is thus crucial to understanding how water impacts Earth's geodynamics. Here we demonstrate that ductile flow exerts a dynamic control on water-rich fluid circulation in mantle shear zones. Based on amphibole distribution and using dislocation slip-systems as a p...

We introduce Parseval networks, a form of deep neural networks in which the Lipschitz constant of linear, convolutional and aggregation layers is constrained to be smaller than 1. Parseval networks are empirically and theoretically motivated by an analysis of the robustness of the predictions made by deep neural networks when their input is subject to an adversarial perturbation. The most impor...