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We describe the Millimeter wave Anisotropy eXperiment IMaging Array (MAXIMA), a balloon-borne experiment which measured the temperature anisotropy of the cosmic microwave background (CMB) on angular scales of 10′ to 5°. MAXIMA mapped the CMB using 16 bolometric detectors in spectral bands centered at 150, 240, and 410 GHz, with 10′ resolution at all frequencies. The combined receiver sensitivity to CMB anisotropy was ~40 µK√s. The bolometric detectors, which were cooled to 100 mK, were a prototype of the detectors which will be used on the Planck Surveyor Satellite of the European Space Agency. Systematic parasitic contributions were controlled by using four uncorrelated spatial modulations, thorough cross-linking, multiple independent CMB observations, heavily baffled optics, and strong spectral discrimination. Pointing reconstruction was accurate to 1′, and absolute calibration was better than 4%. Two MAXIMA flights with more than 8.5 h of CMB observations have mapped a total of 300 deg² of the sky in regions of negligible known foreground emission. MAXIMA results have been released in previous publications and shown to be consistent with the Wilkinson Microwave Anisotropy Probe. MAXIMA I maps, power spectra, and correlation matrices are publicly available at http://cosmology.berkeley.edu/maxima. [ABSTRACT FROM AUTHOR]

ABSTRACT We describe different methods for estimating the bispectrum of cosmic microwave background data. In particular, we construct a minimum-variance estimator for the flat-sky limit and compare results with previously studied frequentist methods. Application to the MAXIMA data set shows consistency with primordial Gaussianity. Weak quadratic non-Gaussianity is characterized by a tunable parameter f[sub NL] , corresponding to non-Gaussianity at a level of ∼10[sup -5]f[sub NL] (the ratio of non-Gaussian to Gaussian terms), and we find limits of f[sub NL]= 1500 ± 950 for the minimum-variance estimator and f[sub NL]= 2700 ± 1650 for the usual frequentist estimator. These are the tightest limits on primordial non-Gaussianity, which include the full effects of the radiation transfer function. [ABSTRACT FROM AUTHOR]

We use a frequentist statistical approach to set confidence intervals on the values of cosmological parameters using the MAXIMA-1 and COBE measurements of the angular power spectrum of the cosmic microwave background. We define a Δχ² statistic, simulate the measurements of MAXIMA-1 and COBE, determine the probability distribution of the statistic, and use it and the data to set confidence intervals on several cosmological parameters. We compare the frequentist confidence intervals with Bayesian credible regions. The frequentist and Bayesian approaches give best estimates for the parameters that agree within 15 per cent, and confidence interval widths that agree to within 30 per cent. The results also suggest that a frequentist analysis gives slightly broader confidence intervals than a Bayesian analysis. The frequentist analysis gives values of Ω = 089[sup +0.26, sub -0.19], Ω[sub B]h² = 0.026[sup + 0.020,sub 0.011] and n = 1.02[sup +0.31, sub -0.10], and the Bayesian analysis gives values of Ω = 0.98[sup +0.14, sub -0.19], Ω[sub B]h² = 0.029[sup +0.015, sub -0.010] and n = 1.18[sup +0.10, sub -0.23], all at the 95 per cent confidence level. [ABSTRACT FROM AUTHOR]

Observations of the CMB can be contaminated by diffuse foreground emission from sources such as Galactic dust and synchrotron radiation. In these cases, the morphology of the contaminating source is known from observations at different frequencies, but not its amplitude at the frequency of interest for the CMB. We develop a technique for accounting for the effects of such emission in this case, and for simultaneously estimating the foreground amplitude in the CMB observations. We apply the technique to CMB data from the MAXIMA-1 experiment, using maps of Galactic dust emission from combinations of IRAS and DIRBE observations, as well as compilations of Galactic synchrotron emission observations. The spectrum of the dust emission over the 150--450 GHz observed by MAXIMA is consistent with preferred models but the effect on CMB power spectrum observations is negligible., Astronomy

The influenza A pandemic H1N1 was first detected in the USA in April 2009. It is associated with a high risk of complications in pregnant women and children. Transplacental infection of influenza A is rare. We report a case of in utero transmission of influenza A H1N1 infection in a newborn whose mother was seriously ill with influenza A H1N1 during the perinatal period. Our patient was probably infected in utero because he was delivered by caesarean section and was never exposed to his mother, who required intensive cardiopulmonary support at the time of delivery. [ABSTRACT FROM AUTHOR]

Background. Progress in prenatal diagnosis and prenatal screening in the past 2 decades has facilitated improved diagnostic methods for fetal abnormalities. Objectives. To assess the indications for late termination of pregnancy, gestational ages and to discuss ethical and legal considerations. Methods. A retrospective study compiling and analysing data from justified medical terminations of pregnancies, reported between January 2001 and June 2012 at Charles Nicolle Hospital. Congenital infectious embryofetopathies were excluded. Results. Over this period, there were 77 cases of clinically justified medical terminations of pregnancies -- a rate of 1.9 per 1 000 total births. The mean gestational age was 27 weeks. In 33 cases, the medical abortion was performed beyond 26 weeks (42.8%). Fetal malformations were predominantly of the central nervous system. Conclusion. Medical terminations of pregnancy for fetal indications are relatively rare. However, they raise ethical, medical and legal issues, due in part to a late prenatal diagnosis. Such decisions should be taken through a multidisciplinary committee. [ABSTRACT FROM AUTHOR]

Serum proteomic analysis can be a valuable approach for the discovery of protein biomarkers for early detection or monitoring of a disease. In this study, two analytical methods were compared for quantification of serum proteins in patients with oral cancer. In the first approach, we quantified serum proteins between oral squamous cell carcinoma (OSCC) and healthy control subjects by performing in-solution digestion of serum proteins, isobaric tags for relative and absolute quantification (iTRAQ) labeling of the resulting peptides, strong cation exchange (SCX) fractionation of labeled peptides and finally capillary liquid chromatography with tandem mass spectrometry (LC-MS/MS) analysis of the peptides. In the second approach, we first separated serum proteins with SDS-PAGE. The gel-separated proteins were then digested with trypsin and the resulting peptides were labeled with iTRAQ and analyzed with LC-MS/MS for protein quantification. A total of 319 serum proteins were quantified with the first proteomic approach whereas a total of 281 proteins were quantified by the second proteomic approach. Most of the proteins were identified and quantified by both approaches, suggesting that these methods are similarly effective for serum proteome analysis. This study provides compelling evidence that quantitative serum proteomic analysis of OSCC is a valuable approach for identifying differentially expressed proteins in cancer patients' circulation systems that may be used as potential biomarkers for disease detection. Further validation in large oral cancer patient populations may lead to a simple and low invasive clinical tool for OSCC diagnosis or monitoring.

We use the measurement of the cosmic microwave background taken during the MAXIMA-1 flight to estimate the bispectrum of cosmological perturbations. We propose an estimator for the bispectrum that is appropriate in the flat sky approximation, apply it to the MAXIMA-1 data, and evaluate errors using bootstrap methods. We compare the estimated value with what would be expected if the sky signal were Gaussian and find that it is indeed consistent, with a chi(2) per degree of freedom of approximately unity. This measurement places constraints on models of inflation.

Gaussianity of the cosmological perturbations is one of the key predictions of standard inflation, but it is violated by other models of structure formation such as cosmic defects. We present the first test of the Gaussianity of the cosmic microwave background (CMB) on subdegree angular scales, where deviations from Gaussianity are most likely to occur. We apply the methods of moments, cumulants, the Kolmogorov test, the chi(2) test, and Minkowski functionals in eigen, real, Wiener-filtered, and signal-whitened spaces, to the MAXIMA-1 CMB anisotropy data. We find that the data, which probe angular scales between 10 arcmin and 5 deg, are consistent with Gaussianity. These results show consistency with the standard inflation and place constraints on the existence of cosmic defects.

Recent results from BOOMERANG-98 and MAXIMA-1, taken together with COBE DMR, provide consistent and high signal-to-noise measurements of the cosmic microwave background power spectrum at spherical harmonic multipole bands over 2