32 research outputs found

    The gonadotropins: Tissue-specific angiogenic factors?

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    Correlation of elevated leptin levels in amniotic fluid and maternal serum in neural tube defects

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    OBJECTIVE: To measure maternal serum and amniotic fluid leptin concentrations in pregnant women diagnosed antenatally as having fetuses with a neural tube defect in the second trimester

    CAN THE CLASSICAL EUCHROMATIC VARIANTS OF 9q12/qh+ CAUSE RECURRENT ABORTIONS?

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    Can the classical euchromatic variants of 9q12/qh+ cause recurrent abortions?: Various heteromorphisms of the 9q heterochromatic area have been reported, and the 9q12/qh varient has been postulated to be more prevalent than initially perceived. Of note is that all probands are clinically normal. This paper documents two cases with a G-band within the 9q12h region and recurrent miscarriages. Patient 1 is a 22-year-old woman with a history of 2 miscarriages. Patient 2 is a 19-year-old woman with a history of 3 miscarriages. Chromosome analysis of the patients showed 46,XX,9q12h+. Thus, the existence of a G+ band in 9qh may not be a normal variant in humans. We suggest IVF and preimplantation genetic diagnosis in such patients

    Transfusion-related acute lung injury following coronary artery bypass graft surgery

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    Blood transfusion is sometimes a necessary procedure during or following coronary artery bypass graft (CABG) surgery. However, transfusion-related acute lung injury (TRALI)/possible TRALI is a rare and fatal complication and characterized by acute hypoxemia and non-cardiogenic pulmonary edema that occurs within 6 hours following a transfusion. Anti-leukocyte antibodies or, possibly, other bioactive substances cause inflammation and capillary endothelial destruction in susceptible recipients' lungs. Prompt diagnosis and mechanical ventilatory support are important. A successful treatment of two male patients following CABG surgery, compatible with TRALI/possible TRALI, is presented here

    C-Means Clustering Applied to Speech Discrimination

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    An effective voice activity detection (VAD) algorithm is proposed for improving speech recognition performance in noisy environments. The proposed speech/pause discrimination method is based on a hard-decision clustering approach built over a set of subband log-energies. Detecting the presence of speech frames (a new cluster) is achieved using a basic sequential algorithm scheme (BSAS) according to a given “distance” (in this case, geometrical distance) and a suitable threshold. The accuracy of the Cl-VAD algorithm lies in the use of a decision function defined over a multiple-observation (MO) window of averaged subband log-energies and the modeling of noise subspace into cluster prototypes. In addition, time efficiency is also reached due to the clustering approach which is fundamental in VAD real time applications, i.e. speech recognition. An exhaustive analysis on the Spanish SpeechDat-Car databases is conducted in order to assess the performance of the proposed method and to compare it to existing standard VAD methods. The results show improvements in detection accuracy over standard VADs and a representative set of recently reported VAD algorithms
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