The Minimax Sensor Location Problem (SELP) is a nonlinear, nonconvex programming problem which aims to locate sensors to monitor a planar region. The objective is to determine the locations that will minimize the maximum probability of “missing” an event in the region. Two evolutionary algorithms, differential evolution (DE) and the co-variance matrix adaptation evolutionary strategy (CMA-ES), ...

The body mass index (BMI) and waist circumference (WC) are commonly used anthropometric measures for predicting cardiovascular diseases risk factors, but it is uncertain which specific measure might be the most appropriate predictor of a cluster of cardiometabolic abnormalities (CMA) in Chinese adults. A body shape index (ABSI) and body roundness index (BRI) have been recently developed as alte...

Individuals with intellectual disability (ID) and/or neurodevelopmental disorders (NDD) are currently investigated several different approaches in clinical genetic diagnostics. To investigate the value of a genome-first approach we compared results from three diagnostic pipelines patients ID/NDD: (n=100), genome as secondary test (n=129) or chromosomal microarray (CMA) without FMR1 analysis (n=...

The Covariance Matrix Adaptation Evolution Strategy (CMAES) is widely accepted as a robust derivative-free continuous optimization algorithm for non-linear and non-convex optimization problems. CMA-ES is well known to be almost parameterless, meaning that only one hyper-parameter, the population size, is proposed to be tuned by the user. In this paper, we propose a principled approach called se...

Chromosomal microarray analysis (CMA) testing has been proposed for detection of genetic imbalances in infants or children with characteristics of developmental delay/intellectual disability (DD/ID), autism spectrum disorder (ASD), and/or congenital anomalies. CMA increases the diagnostic yield over karyotyping in this population and may impact clinical management decisions. Next-generation seq...

Data assimilation of dust aerosol observations for CUACE/Dust forecasting system T. Niu, S. L. Gong, G. F. Zhu, H. L. Liu, X. Q. Hu, C. H. Zhou, and Y. Q. Wang Center for Atmosphere Watch & Services (CAWAS), Chinese Academy of Meteorological Sciences, China Meteorological Administration (CMA), Beijing 100081, China Air Quality Research Division, Science & Technology Branch, Environment Canada, ...

A common assumption in blind equalization schemes using the Constant Modulus Algorithm (CMA) is that the source sequence is an independent identically distributed (i.i.d.) sequence with equiprobable symbols. Much of the analysis demonstrating the global convergence of CMA in a noiseless channel to an open-eye setting uses this assumption. This work investigates the effect of source statistics (...

A 41-year old pregnant woman underwent amniocentesis to conduct a conventional karyotyping analysis; the analysis reported an abnormal karyotype: 46, XY, add(9)(p24). Chromosomal microarray analysis (CMA) is utilized in prenatal diagnoses. A single nucleotide polymorphism microarray revealed a male fetus with balanced chromosomal translocations on 9p and balanced chromosomal rearrangements, but...

This technical report corroborates the design of Cognitive Medium Access (CMA), a protocol enabling coexistence with multiple parallel WLAN channels by keeping interference below a given constraint. The derivation of CMA in [1] is solidified by measurement-based models, including an experimental study of the physical layer interaction between both systems, as well as a stochastic model allowing...

BACKGROUND Cow's milk allergy (CMA) is the most common food allergy in infants and young children, affecting 2% to 3% of the general population. Most studies have shown the prognosis of developing tolerance to cow's milk to be good, with most outgrowing their allergy by age 3 years. OBJECTIVE To define the natural course of CMA and identify the factors that best predict outcome in a large ref...