Reflux laryngitis in infants may be involved not only in laryngeal disorders, but also in disorders of cardiorespiratory control through its impact on laryngeal function. Our objective was to study the effect of reflux laryngitis on non-nutritive swallowing (NNS) and NNS-breathing coordination. Two groups of six newborn lambs, randomized into laryngitis and control groups, were surgically instr...

The Nrd1-Nab3-Sen1 (NNS) complex pathway is responsible for transcription termination of cryptic unstable transcripts and sn/snoRNAs. The NNS complex recognizes short motifs on the nascent RNA, but the presence of these sequences alone is not sufficient to define a functional terminator. We generated a homogeneous set of several hundreds of artificial, NNS-dependent terminators with an in vivo ...

This paper addresses the application of Self-adaptive Global Best Harmony Search (SGHS) algorithm for the supervised training of feed-forward neural networks (NNs). A structure suitable to data representation of NNs is adapted to SGHS algorithm. The technique is empirically tested and verified by training NNs on two classification benchmarking problems. Overall training time, sum of squared err...

Sensory deprivation and motor restriction associated with extensive oxygen therapy may lead to poor oromotor control in preterm infants. Non-nutritive suck is one of the first complex oromotor behaviors infants perform. This study determined the spatiotemporal variability of non-nutritive suck (NNS) pressure trajectories in three preterm groups with differing oxygen histories-one control group ...

in this paper, a sensitivity analysis of artificial neural networks (nns) is presented and employed for estimating the patch load resistance of plate girders subjected to patch loading. to evaluate the accuracy of the proposed nn model, the results are compared with the previously proposed empirical models, so that we can estimate the resistance of plate girders subjected to patch loading. the ...

Nearest neighbor search (NNS) among large-scale and high-dimensional vectors has played an important role in recent large-scale multimedia search applications. This paper proposes an optimized codebook construction algorithm for approximate NNS based on product quantization. The proposed algorithm iteratively optimizes both codebooks for product quantization and an assignment table that indicat...

CONTEXT Nonnutritive sweetener (NNS) consumption is increasing among children, yet its long-term health impact is unclear, particularly when exposure occurs during early life. OBJECTIVE To synthesize evidence from prospective studies evaluating the association of early-life NNS exposure and long-term metabolic health. DATA SOURCES Medline, Embase, and Cochrane Library (inception to July 201...

Presents a constructive algorithm for training cooperative neural-network ensembles (CNNEs). CNNE combines ensemble architecture design with cooperative training for individual neural networks (NNs) in ensembles. Unlike most previous studies on training ensembles, CNNE puts emphasis on both accuracy and diversity among individual NNs in an ensemble. In order to maintain accuracy among individua...

Neural networks (NNs) are discriminative classifiers which have been successfully integrated with hidden Markov models (HMMs), either in the hybrid NN/HMM or tandem connectionist systems. Typically, the NNs are trained with the framebased cross-entropy criterion to classify phonemes or phoneme states. However, for word recognition, the word error rate is more closely related to the sequence cla...

We evaluated colonoscopic neoplastic yield (adenomas and cancers) in a rural endoscopic unit alongside several key performance indicators known to influence yield. A second aim was to compare neoplastic yield according to colonoscopic indication.Methods We retrospectively audited 371 colonoscopies (163 male, 208 female) undertaken over six months (2007-2008) at the Mersey Hospital, Tasmania.Res...