Adiabatic refocusing pulses for volume selection in magnetic resonance spectroscopic imaging.

Because of their excellent slice profiles and high immunity to RF inhomogeneity, adiabatic full passage (AFP) pulses are ideal for use in spatial localization. The nonlinear, position-dependent phase of a single AFP pulse generated during refocusing of transverse magnetization traditionally is eliminated by using identical pairs of AFP pulses, at the expense of increased RF power deposition and increased echo time (TE). Here it is shown that one can achieve significant phase refocusing by executing single AFP pulses along non-equivalent spatial axes. When used for volume selection in MR spectroscopic imaging (MRSI) the remaining nonlinear phase becomes inconsequential when the phase across a spectroscopic volume is small. Selection of rectangular and octagonal volumes is demonstrated with half the number of AFP pulses used in the traditional approach. It is shown that octagonal volume selection in the human brain provides excellent suppression of extracranial lipids, and thus allows multislice (1)H MRSI at 4 Tesla to be performed within the guidelines for RF power deposition.     

不同性别飞行学员人格特征的比较

目的 :探讨男女飞行学员人格特征的差别 ,为选拔战斗机女飞行员提供心理选拔方法的参照 .方法 :女学员组为某飞行学院 2 2名女飞行学员 ,男学员组为同一飞行学院 4 3名男飞行学员 .采用卡特尔 16种个性因素测验 (16PF) ,应用DXC多项心理测评仪进行集体测试 .结果 :在 16PF的 2 4个分析项目中 ,情绪的稳定性 (C)、兴奋性 (F)、敢为性 (H)、怀疑性 (L)、紧张性 (Q4)、适应与焦虑、内向与外向等 7个因子分男学员和女学员有显著差异 (P <0 .0 5或P <0 .0 1) ,其中在稳定性、兴奋性、敢为性和外向性等 4个因素上 ,女学员的分数显著高于男学员 (P <0 .0 5或P <0 .0 1) ;而在怀疑性、紧张性、焦虑性等 3个因子分上则是男学员显著高于女学员(P <0 .0 5或P <0 .0 1) .结论 :女飞行学员的个性特点是情绪稳定 ,轻松兴奋 ,冒险敢为 ,适应环境 ,趋于外向 ,紧张困扰和焦虑较少 .本调查结果表明 ,女飞行学员的人格特征基本符合战斗机飞行员人格结构的要求     

Fast method for 1D non-cartesian parallel imaging using GRAPPA.

MRI with non-Cartesian sampling schemes can offer inherent advantages. Radial acquisitions are known to be very robust, even in the case of vast undersampling. This is also true for 1D non-Cartesian MRI, in which the center of k-space is oversampled or at least sampled at the Nyquist rate. There are two main reasons for the more relaxed foldover artifact behavior: First, due to the oversampling of the center, high-energy foldover artifacts originating from the center of k-space are avoided. Second, due to the non-equidistant sampling of k-space, the corresponding field of view (FOV) is no longer well defined. As a result, foldover artifacts are blurred over a broad range and appear less severe. The more relaxed foldover artifact behavior and the densely sampled central k-space make trajectories of this type an ideal complement to autocalibrated parallel MRI (pMRI) techniques, such as generalized autocalibrating partially parallel acquisitions (GRAPPA). Although pMRI can benefit from non-Cartesian trajectories, this combination has not yet entered routine clinical use. One of the main reasons for this is the need for long reconstruction times due to the complex calculations necessary for non-Cartesian pMRI. In this work it is shown that one can significantly reduce the complexity of the calculations by exploiting a few specific properties of k-space-based pMRI.     

Selection and the effect of prenatal smoking

There is a debate about the extent to which the effect of prenatal smoking on infant health outcomes is causal. Poor outcomes could be attributable to mother characteristics, which are correlated with smoking. I examine the importance of selection on the effect of prenatal smoking by using three British cohorts where the mothers' knowledge about the harms of prenatal smoking varied substantially. I find that the effect of smoking on the probability of a low birth weight birth conditional on gestation is slightly more than twice as large in 2000 compared with 1958, implying that selection could explain as much as 50% of the current association between smoking and birth outcomes. Copyright © 2009 John Wiley & Sons, Ltd.     

Can marital selection explain the differences in health between married and divorced people? From a longitudinal study of a British birth cohort

In view of the rising divorce rates, the impact of divorce on health has an increasing importance in public health. The differentials in health between the married and the divorced may be explained by ‘marital selection’ and ‘marital protection’. Using longitudinal data from a study of the 1958 British birth cohort, factors that select people into divorce were identified from the areas of socio-economic status, health, and attractiveness, which included physical attractiveness, health-related behaviour and temperament. Evidence for both positive and adverse selection is found. The different sets of selection factors for females and males appear to be in line with gender role expectations. The health differentials between married and divorced men were weak and can be explained away by the selection factors. Having controlled for the selection effects, there were still significant associations between divorce and physical and psychological health in women. Though these unexplained differentials cannot be definitely interpreted as the consequences of marital dissolution, this interpretation remains plausible.     

Selection for increased pheromone response in the male pink bollworm,Pectinophora gossypiella (lepidoptera: Gelechiidae)

The genetic basis of the duration and incidence of male wing fanning to pheromone in the pink bollworm moth,Pectinophora gossypiella (Saunders), was examined by artificial selection. Using a still-air bioassay, males from a laboratory colony were selected for increased duration of wing fanning when exposed to a 6535 blend of (Z,E)- and (Z,Z)-7,11-hexadecadienyl acetates. The mean (±SE) duration of wing fanning in the selected line increased from 5.4±1.4 to 17.4±2.7 s after six generations. The increase in wing fanning duration was the result of an increase in response duration among responders and not the percentage of males that responded. Realized heritability of wing-fanning duration was 0.16±0.02. The amount and ratio of pheromone produced by females in the male-selected line did not change.This research was supported in part by NSF Grant PCM-8309398 and a University of Massachusetts Biomedical Research Grant.     

抗乙酰胆碱受体单链抗体对致病性抗体结合活性的抑制作用

为探讨单链抗体 (ScFv )对重症肌无力 (MG )的特异性免疫治疗作用 ,从分离自MG患者胸腺的抗乙酰胆碱受体(AchR )抗原结合片段Fab6 37构建单链抗体ScFv6 37。应用放射免疫测定法测定了ScFv6 37与刺激抗原人AchR的特异性结合活性以及与相关抗原大鼠AchR和电鳐AchR的交叉反应 ,应用竞争性ELISA测定抑制致病性抗AchR完整抗体IgG6 37与人AchR结合活性。结果发现ScFv6 37只能与人AchR结合 ,不能与大鼠和电鳐的AchR结合。对IgG6 37与人AchR结合的抑制率为 17 5 %～ 32 9%。表明单链抗体对AchR具有一定的“保护”作用。     

Thymic stromal cell specialization and the T-cell receptor repertoire

Ten years ago, we proposed a model for thymus function in which thymic epithelial cells are primarily responsible for imprinting major histocompatibility complex (MHC)-restricted specificity, and bone marrow-derived macrophages or dendritic cells are responsible for the induction of self-tolerance. Since then, transgenic and knockout models have allowed for a dissection of thymic stromal components in vivo, leading to a new understanding of their specialized functions. We have determined that with regard to class II-restricted CD4 T-cell development, two distinct subsets of thymic epithelium help shape the repertoire: Cortical epithelium appears solely responsible for positive selection, whereas a fucose-bearing subset of medullary epithelium is specialized for negative selection. This absolute separation of positive and negative selection into two distinct spatial and temporal compartments leads to a much simpler view of the process of repertoire selection. Finally, a novel view of the function of the thymic medulla is discussed.     

Antibiotic resistance in Staphylococcus aureus colonising the intestines of Swedish infants

Staphylococcus aureus has become a frequent coloniser of the intestinal tract of infants, but the health effects of such colonisation are not clear. In this study, the antibiotic resistance patterns of 116 S. aureus strains from the commensal intestinal microflora were determined. The strains were obtained from 81 Swedish infants who had been followed with regular stool samples and registration of antibiotic usage during their first year of life. The faecal population levels of the individual strains and the duration of their persistence in the microflora had been determined previously. The prevalence of antibiotic resistance among the 116 strains was modest: methicillin, 0%; penicillin G, 78%; erythromycin A, 3%; tetracycline, 2%; clindamycin, 0.9%; and fusidic acid, 0.9%. Colonisation by antibiotic-resistant strains was unrelated to antibiotic consumption by individual infants. Antibiotic-resistant strains were as capable of persisting in the intestinal microflora and reaching high faecal population levels as fully susceptible strains. No strain lost or acquired resistance during the colonisation period. Thus, antibiotic-resistant strains of S. aureus seem to be as fit for competition in the large bowel microflora as susceptible strains, even in the absence of selective pressure from antibiotics. This may aggravate the ecological consequences of antibiotic resistance development.     

Classification of Breast Masses Using Selected Shape,Edge-sharpness,and Texture Features with Linear and Kernel-based Classifiers

Breast masses due to benign disease and malignant tumors related to breast cancer differ in terms of shape, edge-sharpness, and texture characteristics. In this study, we evaluate a set of 22 features including 5 shape factors, 3 edge-sharpness measures, and 14 texture features computed from 111 regions in mammograms, with 46 regions related to malignant tumors and 65 to benign masses. Feature selection is performed by a genetic algorithm based on several criteria, such as alignment of the kernel with the target function, class separability, and normalized distance. Fisher's linear discriminant analysis, the support vector machine (SVM), and our strict two-surface proximal (S2SP) classifier, as well as their corresponding kernel-based nonlinear versions, are used in the classification task with the selected features. The nonlinear classification performance of kernel Fisher's discriminant analysis, SVM, and S2SP, with the Gaussian kernel, reached 0.95 in terms of the area under the receiver operating characteristics curve. The results indicate that improvement in classification accuracy may be gained by using selected combinations of shape, edge-sharpness, and texture features.