Multidimensional scaling (MDS) is a generic name for a family of algorithms that construct a configuration of points in a target metric space from information about inter-point distances measured in some other metric space. Large-scale MDS problems often occur in data analysis, representation and visualization. Solving such problems efficiently is of key importance in many applications. In this...

Maximal distance separable (MDS) matrices are important components for block ciphers. In this paper, we present an algorithm for searching 4 × 4 MDS matrices over GL(4, F2). By this algorithm, we find all the lightest MDS matrices have only 10 XOR counts. Besides, all these lightest MDS matrices are classified to 3 types, and some necessary and sufficient conditions are presented for them as we...

Entity resolution (ER) is about identifying and merging records in a database that represent the same real-world entity. Matching dependencies (MDs) have been introduced and investigated as declarative rules that specify ER policies. An ER process induced by MDs over a dirty instance leads to multiple clean instances, in general. General answer sets programs have been proposed to specify the MD...

BACKGROUND Among long-term care (LTC) residents, we explored the association between anemia status and hemoglobin (Hb) level with Activities of Daily Living (ADL) functioning and health-related quality of life (HRQOL). METHODS Data were derived from the AnalytiCare database, containing laboratory and Minimum Data Set (MDS) reports for 27 LTC facilities in Colorado. Study timeframe was 1/1/07-...

Ghulam Murtaza, Nassar Ikram 1,2 National University of Sciences and Technology, Pakistan [email protected] [email protected] Abstract. An MDS matrix is an important building block adopted by different algorithms that provides diffusion and therefore, has been an area of active research. In this paper, we present an idea of direct exponent and direct square of a matrix. We prove...

– Consider uniformly elliptic random walk on Z with independent jump rates across nearest neighbour bonds of the lattice. We show that the infinite volume effective diffusion matrix can be almost surely recovered as the limit of finite volume periodized effective diffusion matrices.  2003 Éditions scientifiques et médicales Elsevier SAS MSC: 60K37; 60K35; 74Q20

The notion of universally decodable matrices (UDMs) was recently introduced by Tavildar and Viswanath while studying slow fading channels. It turns out that the problem of constructing UDMs is tightly connected to the problem of constructing maximum distance separable (MDS) codes. In this paper, we first study the properties of UDMs in general and then we discuss an explicit construction of a c...

BACKGROUND With the intention to aid planning for elderly focused public health and residential care needs in rapidly aging societies, a simple model using only age, gender and three Minimum Data Set (MDS) subscales (MDS-ADL Self-Performance Hierarchy, MDS-Cognitive Performance and the MDS-Changes in Health, End-stage disease and Symptoms and Signs scales) was used to estimate long-term surviva...

assessment of soil quality is one of the most useful tools for evaluation the soil management condition and different land uses. quantity indices of soil quality are most suitable methods for determination and comparison of soils quality. in this study soil quality indices and selection methods of effective soil properties were compared for evaluating the soil quality in different land uses. se...

T he myelodysplastic syndromes (MDS) are a heterogeneous group of malignant clonal diseases of bone marrow stem and progenitor cells ranging clinically from mild asymptomatic anemia or other cytopenias to rapid transformation to acute leukemia. The early stages of MDS are characterized by dysplasia and increased apoptosis of bone marrow cells resulting in the characteristic pattern of bone marr...