Genetic Regulation of Physiological Reproductive Lifespan and Female Fertility

There is substantial genetic variation for common traits associated with reproductive lifespan and for common diseases influencing female fertility. Progress in high-throughput sequencing and genome-wide association studies (GWAS) have transformed our understanding of common genetic risk factors for complex traits and diseases influencing reproductive lifespan and fertility. The data emerging from GWAS demonstrate the utility of genetics to explain epidemiological observations, revealing shared biological pathways linking puberty timing, fertility, reproductive ageing and health outcomes. The observations also identify unique genetic risk factors specific to different reproductive diseases impacting on female fertility. Sequencing in patients with primary ovarian insufficiency (POI) have identified mutations in a large number of genes while GWAS have revealed shared genetic risk factors for POI and ovarian ageing. Studies on age at menopause implicate DNA damage/repair genes with implications for follicle health and ageing. In addition to the discovery of individual genes and pathways, the increasingly powerful studies on common genetic risk factors help interpret the underlying relationships and direction of causation in the regulation of reproductive lifespan, fertility and related traits.     

Women's Health Initiative: Why now? What is it? What's new?

Studies collectively named the Women's Health Initiative (WHI) are currently enrolling 164,500 postmenopausal women in several overlapping clinical trials and an observational study. The overall goals of WHI are to understand the determinants of postmenopausal women's health and to evaluate the efficacy of practical interventions in preventing the major causes of morbidity and mortality in older women. This article reviews the research leading to the WHI studies; describes the study designs and protocols, with an emphasis on what's new about WHI from a psychological perspective; and outlines the major psychosocial hypotheses under investigation and the major challenges WHI presents to psychological science. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The mental health needs of physically disabled persons: Their perspective.

Evaluated disabled persons' perceptions of the types of problems experienced by the disabled population and the extent of this population's need for psychological services. 145 severely physically disabled former clients of a state rehabilitation commission responded to a questionnaire. Data show that 55% of Ss were aged 16–29 yrs, while 88% were 55 yrs old or less. 61.3% of Ss were males; 41% of Ss were married, 13% were divorced, 8% were separated, and 36% were single. 75% reported substantial need; 8% felt there was minimal or no need. Perceived problem areas included personal/emotional, organic/biological, marital/family, and vocational/career planning. Results suggest that this group of consumers perceives that there is a significant need for mental health services among individuals who are physically disabled. (21 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Developmental stability in jumping.

The principles of dynamical systems were used to study the effects of changing internal (i.e., developing subsystems) and external (i.e., task demands) constraints on the development of jumping. Children, 3, 5, 7, and 9 years old, and 3 groups of adults—of average skill, skilled in volleyball, and skilled in gymnastics—were filmed performing two different tasks, a standing long jump and a vertical jump. The results revealed that despite changes in both external and internal constraints, there were no differences in the pattern of coordination for jumping. Differences were found in the position and magnitude variables. Clearly, the constraints manipulated here were insufficient to disrupt the stability of the jump's coordination. We suggest that these results indicate that jumping is a stable movement organization that transcends the changes in constraints associated with developing subsystems and particular task demands. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

In-home treatment of abusive families: Cost and placement at one year.

Evaluated a child-abuse prevention project designed to keep abused children safely at home. In-home prevention services were provided to 59 children in 26 families referred by county child protective services as an alternative to out-of-home placement. Therapists, carrying a caseload of 2 families each, provided intensive treatment in the families' homes for 4–6 wks. A comparison group of 24 child protective service referred families, with 49 children, received usual county services. A 1-yr follow-up evaluated the 2 groups on cost, on whether or not the children stayed at home, and on psychological measures of family functioning. Results indicate that the goals of reducing out-of-home placement and lowering placement costs were being met. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

29Si MAS NMR study of the hydration of tricalcium silicate in the presence of finely divided silica

²⁹Si magic angle spinning nuclear magnetic resonance spectroscopy has been used to investigate the effect of finely divided silica on the hydration of tricalcium silicate (C₃S). In order to reduce the time needed to obtain quantitative results, low levels of paramagnetic iron oxide were added to materials to increase the nuclear relaxation rate. The reactions of the C₃S and the finely divided silica could then be monitored separately and without chemical modification. The results were correlated with data from microcalorimetry, thermogravimetric analysis and electron microscopy. Under the conditions used here the presence of the silica accelerates greatly the hydration process, and results in a markedly increased degree of polymerization in the resulting gel, without significantly affecting the induction period of the reaction. The significance of these results for understanding the hydration process of C₃S in the presence of silica is outlined.     

Bidirectional Nerve Refractory Characteristics in Simulations of Direct and Remote Stimulation

The effects of remote stimulation on the refractory characteristics of myelinated nerve fibers were investigated using computer simulations of nerve action potentials, in response to spatially separated conditioning and test stimuli. The behavior of the test action potential was strongly influenced by its direction of propagation relative to that of the conditioning action potential. Under certain conditions, the variation of relative refractory period with conduction velocity (CV) changed from inverse, for propagation in opposing directions, to direct, for propagation in the same direction. A similar directionally dependent result occurred in the study of relative refractory period as a function of stimulus intensity. At certain interstimulus intervals, the test stimulus elicited action potentials which would conduct in the direction opposite to the conditioning action potential, but would not conduct in the wake of that conditioning action potential. These results are explained in terms of the spatial spread of stimulus current resulting from distant placement of the stimulating electrode in a volume conductor. Clinical repercussions of these results for correction of refractory period in collision neurography are discussed.     

Psychological predictors of good health in three longitudinal samples of educated midlife women.

Concurrent and longitudinal associations between cognitive and affective personality variables—intellectual efficiency (IE), anxiety, and hostility—and observer ratings of physical health were examined in 3 longitudinal samples of women: Mills Longitudinal Study (n?=?101); Radcliffe Study (RS, n?=?118); and University of California, San Francisco Study (n?=?44). Observer ratings of health were based on participants' reports of health problems. The California Psychological Inventory (H. G. Gough, 1996) IE, Hostility, and Anxiety Scales were used in all studies at Times 1 and 2, except in RS, when at Time 1 the Zung Anxiety (W. K. Zung, 1971) and the Profile of Mood States (D. M. McNair, M. Lorr, & L. F. Droppleman, 1971) Hostility Scales were used. In the majority of analyses, EE was positively associated with good health, and Anxiety and Hostility were negatively associated with health. IE was the strongest independent predictor of health, indicating that cognitive characteristics may have an important role in health and should be examined further. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Learning Binary Relations Using Weighted Majority Voting

In this paper we demonstrate how weighted majority voting with multiplicative weight updating can be applied to obtain robust algorithms for learning binary relations. We first present an algorithm that obtains a nearly optimal mistake bound but at the expense of using exponential computation to make each prediction. However, the time complexity of our algorithm is significantly reduced from that of previously known algorithms that have comparable mistake bounds. The second algorithm we present is a polynomial time algorithm with a non-optimal mistake bound. Again the mistake bound of our second algorithm is significantly better than previous bounds proven for polynomial time algorithms.A key contribution of our work is that we define a non-pure or noisy binary relation and then by exploiting the robustness of weighted majority voting with respect to noise, we show that both of our algorithms can learn non-pure relations. These provide the first algorithms that can learn non-pure binary relations.The first author was supported in part by NSF grant CCR-91110108 and NSF National Young Investigator Grant CCR-9357707 with matching funds provided by Xerox Corporation, Palo Alto Research Center and WUTA. The second author was supported by ONR grant NO0014-91-J-1162 and NSF grant IRI-9123692.     

A Dynamic Spark-based Classification Framework for Imbalanced Big Data

Classification of imbalanced big data has assembled an extensive consideration by many researchers during the last decade. Standard classification methods poorly diagnosis the minority class samples. Several approaches have been introduced for solving the problem of class imbalance in big data to enhance the generalization in classification. However, most of these approaches neglect the effect of border samples on classification performance; the high impact border samples might expose to misclassification. In this paper, a Spark Based Mining Framework (SBMF) is proposed to address the imbalanced data problem. Two main modules are designed for this purpose. The first is the Border Handling Module (BHM) which under samples the low impact majority border instances and oversamples the minority class instances. The second module is the Selective Border Instances sampling (SBI) Module, which enhances the output of the BHM module. The performance of the SBMF framework is evaluated and compared with other recent systems. A number of experiments were performed using moderate and big datasets with different imbalanced ratio. The results obtained from SBMF framework, when compared to the recent works, show better performance for the different datasets and classifiers.