OBJECTIVE We build classification models and risk assessment tools for diabetes, hypertension and comorbidity using machine-learning algorithms on data from Kuwait. We model the increased proneness in diabetic patients to develop hypertension and vice versa. We ascertain the importance of ethnicity (and natives vs expatriate migrants) and of using regional data in risk assessment. DESIGN Retr...

We remind the main facts about the odd Laplacian acting on half-densities on an odd symplectic manifold and discuss a homological interpretation for it suggested recently by P. Ševera. We study relations of odd symplectic geometry with classical objects. We show that the Berezinian of a canonical transformation for an odd symplectic form is a polynomial in matrix entries and a complete square. ...

The paper is dedicated to parallel data sort based on sorting networks. The proposed methods and circuits have the following characteristics: 1) using two-level parallel comparators in even-odd transition networks with feedback to a register keeping input/intermediate data; 2) parallel merging of many sorted sequences; 3) using even-odd transition networks built from other sorting networks; 4) ...

Abstract An odd wheel graph is a formed by connecting new vertex to all vertices of an cycle. We answer question Rosenfeld and Le showing that wheels cannot be drawn in the plane so lengths edges are integers.

Statistical database security is an important problem that has major implications for privacy and protection in the computerised, online world. In this paper we prove that the bounds on the number of answerable range queries in a 1-dimensional statistical database of size n for n odd, or n even and greater than 52, derived in [4] in fact hold for all n except for n = 12, and are achievable usin...