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OBJECTIVE To study the isoforms of insulin-like growth factor binding protein-1 (IGFBP-1) in cervical secretion and to evaluate whether their assessment could serve in prediction of cervical ripeness at term. METHODS We measured the concentrations of IGFBP-1 in cervical swab samples of 64 women scheduled for labor induction by amniotomy or cervical(More)
OBJECTIVE To determine the value of combinations of cervical interleukin-6 (IL-6), cervical interleukin-8 (IL-8), the phosphorylated isoform of insulin-like growth-factor binding protein-1 (IGFBP-1), and cervical ultrasonography in the prediction of preterm birth. DESIGN Prospective follow up. SETTING Oulu University Hospital maternity clinic from(More)
Insulin-like growth factor binding protein-1 (IGFBP-1) is a major protein in amniotic fluid. In this study, we evaluated the diagnostic potential of IGFBP-1 measurement in cervical/vaginal secretions as an indicator of ruptured fetal membranes. Data were also compared with those obtained by the ROM-check Membrane Immunoassay (Adeza Biochemical, Sunnyvale,(More)
We evaluated the clinical usefulness of a new bedside test (PROM TEST) for insulin-like growth factor binding protein-1 (IGFBP-1) in the detection of ruptured fetal membranes (ROM). Cervicovaginal secretion was sampled between 15 and 37 weeks of gestation from asymptomatic women with apparently intact membranes and from women with clinically confirmed ROM,(More)
— This paper compares three different fitness diversity adaptations in Multimeme Algorithms (MmAs). These diversity indexes have been integrated within a MmA present in literature, namely Fast Adaptive Memetic Algorithm. Numerical results show that it is not possible to establish a superiority of one of these adaptive schemes over the others and choice of a(More)
Existing ultrasound devices for assessing the human tibia are based on detecting the first arriving signal, corresponding to a wave propagating at, or close to, the bulk longitudinal velocity in bone. However, human long bones are effectively irregular hollow tubes and should theoretically support the propagation of more complex guided modes similar to Lamb(More)
Data clustering is an unsupervised data analysis and data mining technique, which offers refined and more abstract views to the inherent structure of a data set by partitioning it into a number of disjoint or overlapping (fuzzy) groups. Hundreds of clustering algorithms have been developed by researchers from a number of different scientific disciplines.(More)