In the past decade, atomic and molecular layer deposition (ALD MLD), these two sister techniques have been attracting more research attention to address technical challenges in various advanced battery systems. The charm of both ALD MLD lies their unique mechanism for growing a large variety functional materials, featuring uniform conformal films enabled at atomic/molecular level low temperatur...

This correspondence represents two new soft decision decoding algorithms that promise to reduce complexity and at the same time achieve the maximum likelihood decoding (MLD) performance. The first method is an Adaptive Two-Stage Maximum Likelihood Decoder [1] that first estimates a minimum sufficient set and performs decoding within the smaller set to reduce complexity and at the same time achi...

Normative variation in mathematical aptitude (MA) is relevant to many aspects of societal functioning, in particular for occupations in science, technology, engineering and mathematics (STEM). Though elements of numerosity have been identified in some animals, complex MA is uniquely human. Several studies, using a variety of designs, have investigated the heritability of MA, and the extreme end...

In the last decades, strategy variability and flexibility have become major aims in mathematics education. For children with mathematical learning disabilities (MLD) it is unclear whether the same goals can and should be set. Some researchers and policy makers advise to teach MLD children only one solution strategy, others advocate stimulating the flexible use of various strategies, as for typi...

Available biomedical ontologies and knowledge bases currently lack formal and standards-based interconnections between disease, disease vector, and drug treatment vocabularies. The PNNL Medical Linked Dataset (PNNL-MLD) addresses this gap. This paper describes the PNNLMLD, which provides a unified vocabulary and dataset of drug, disease, side effect, and vector transmission background informati...

The reliability-based heuristic search methods for maximum likelihood decoding (MLD) generate test error patterns (or, equivalently, candidate codewords) according to their heuristic values. Test error patterns are stored in lists and its space complexity is crucially large for MLD of long block codes. One of the well-known heuristic search methods for MLD is the A decoding algorithm proposed b...

Parity helps us determine whether an arithmetic equation is true or false. The current research examines the development of sensitivity to parity cues in multiplication in typically achieving (TA) children (grades 2, 3, 4 and 6) and in children with mathematics learning disabilities (MLD, grades 6 and 8), via a verification task. In TA children the onset of parity sensitivity was observed at th...

The focus of this paper is on a parallel algorithm for solving the transport equations in a slab geometry using multigrid. The spatial discretization scheme used is a nite element method called Modiied Linear Discontinuous scheme (MLD). The MLD scheme represents a lumped version of the standard Linear Discontinuous scheme (LD). The parallel algorithm was implemented on the Connection Machine 2 ...