The Nrd1-Nab3-Sen1 (NNS) complex is essential for controlling pervasive transcription and generating sn/snoRNAs in S. cerevisiae. The NNS complex terminates transcription of noncoding RNA genes and promotes exosome-dependent processing/degradation of the released transcripts. The Trf4-Air2-Mtr4 (TRAMP) complex polyadenylates NNS target RNAs and favors their degradation. NNS-dependent terminatio...

In order to better assess non-nutritive sweetener (NNS) consumption, measurement tools with greater utility are needed. The objective of this investigation is to determine the reproducibility and validity of a newly developed NNS food frequency questionnaire (NNS-FFQ) that measures five types of NNS (saccharin, aspartame, acesulfame potassium, sucralose and erythritol). Adult participants (n = ...

Marine invasive non-native species (NNS) are one of the greatest threats to global marine biodiversity, causing significant economic and social impacts. Marinas are increasingly recognised as key reservoirs for invasive NNS. They provide submersed artificial habitat that unintentionally supports the establishment of NNS introduced from visiting recreational vessels. While ballast water and ship...

BACKGROUND Non-nutritive sucking stimulation may anticipate the beginning of oral feeding and may influence the development of sucking in pre-term newborns. AIM To describe the development of the sucking pattern and the effects of NNS. METHOD Participants of this study were 95 preterm newborns (PTNB), adequate for their gestational age (GA), born with GAs inferior or equal to 33 weeks, rand...

The aim of the present study was to assess the effects of the different states of alertness on 1) nonnutritive swallowing (NNS) frequency, 2) the relationship between NNS and the respiratory cycle, and 3) the association of NNS with spontaneous apneas. Recordings of sleep states, diaphragm and laryngeal constrictor electrical activity, nasal flow, electrocardiogram, respiratory inductance pleth...

Radial Basis Function Neural Networks (RBF NNs) are one of the most applicable NNs in the classification of real targets. Despite the use of recursive methods and gradient descent for training RBF NNs, classification improper accuracy, failing to local minimum and low-convergence speed are defects of this type of network. In order to overcome these defects, heuristic and meta-heuristic algorith...

Increased interest among consumers in the reduction of dietary sugar intake has led to the wider availability of food products containing non-nutritive sweeteners (NNS). However, the extent to which NNS are currently being used by manufacturers to sweeten processed food and beverage products, and how NNS may be displacing added sugars as a sweetener is unknown. The current study utilized brande...

OBJECTIVE To estimate the prevalence of non-nutritive sweeteners (NNS) consumption in a sample of patients with diabetes. MATERIAL AND METHODS We applied two questionnaires, one of food frequency adapted to products containing NNS and the other of beliefs related to NNS. The prevalence of NNS consumption was determined and correlated with the body mass index, energy and sugar consumption, wai...

Arti cial Neural Networks (NNs) are high parallel structures that consist of a large number of elementary non-linear units (called neurons) fully interconnected. In this article we present a hardware implementation of NNs combined with a DSP; both NNs and DSP combined together results in a powerful system used in control applications. NNs process most of the control tasks, while DSP performs si...

The aim of the present study was to investigate the effect of hypercapnia and hypoxia on apnea and nonnutritive swallowing (NNS) frequency, as well as on the coordination between NNS and phases of the respiratory cycle in newborn lambs, while taking into account the potential effects of states of alertness. Six lambs were chronically instrumented for recording electroencephalogram, eye movement...