The Living with a Star Program: NASA's Role in Assuring Performance in Space and Atmospheric Environments

NASA has initiated the Living with a Star (LWS) Program to develop the scientific understanding to address the aspects of the Connected Sun-Earth system that affect life and society. A goal of the program is to bridge the gap between science, engineering, and user application communities. This will enable future science, operational, and commercial objectives in space and atmospheric environments by improving engineering approaches to the accommodation and/or mitigation of the effects of solar variability on technological systems. A pre-formulation study determined the optimum combination of science missions, modeling, and technology infusion elements to accomplish this goal. The results of the study are described

The mitochondrial genome sequence of the ciliate Paramecium caudatum reveals a shift in nucleotide composition and codon usage within the genus Paramecium

<p>Abstract</p> <p>Background</p> <p>Despite the fact that the organization of the ciliate mitochondrial genome is exceptional, only few ciliate mitochondrial genomes have been sequenced until today. All ciliate mitochondrial genomes are linear. They are 40 kb to 47 kb long and contain some 50 tightly packed genes without introns. Earlier studies documented that the mitochondrial guanine + cytosine contents are very different between <it>Paramecium tetraurelia </it>and all studied <it>Tetrahymena </it>species. This raises the question of whether the high mitochondrial G+C content observed in <it>P. tetraurelia </it>is a characteristic property of <it>Paramecium </it>mtDNA, or whether it is an exception of the ciliate mitochondrial genomes known so far. To test this question, we determined the mitochondrial genome sequence of <it>Paramecium caudatum </it>and compared the gene content and sequence properties to the closely related <it>P. tetraurelia</it>.</p> <p>Results</p> <p>The guanine + cytosine content of the <it>P. caudatum </it>mitochondrial genome was significantly lower than that of <it>P. tetraurelia </it>(22.4% vs. 41.2%). This difference in the mitochondrial nucleotide composition was accompanied by significantly different codon usage patterns in both species, i.e. within <it>P. caudatum </it>clearly A/T ending codons dominated, whereas for <it>P. tetraurelia </it>the synonymous codons were more balanced with a higher number of G/C ending codons. Further analyses indicated that the nucleotide composition of most members of the genus <it>Paramecium </it>resembles that of <it>P. caudatum </it>and that the shift observed in <it>P. tetraurelia </it>is restricted to the <it>P. aurelia </it>species complex.</p> <p>Conclusions</p> <p>Surprisingly, the codon usage bias in the <it>P. caudatum </it>mitochondrial genome, exemplified by the effective number of codons, is more similar to the distantly related <it>T. pyriformis </it>and other single-celled eukaryotes such as <it>Chlamydomonas</it>, than to the closely related <it>P. tetraurelia</it>. These differences in base composition and codon usage bias were, however, not reflected in the amino acid composition. Most probably, the observed picture is best explained by a hitherto unknown (neutral or adaptive) mechanism that increased the guanine + cytosine content in <it>P. tetraurelia </it>mtDNA on the one hand, and strong purifying selection on the ancestral amino acid composition on the other hand. These contradicting forces are counterbalanced by a considerably altered codon usage pattern.</p

Processing Ordinality and Quantity: The Case of Developmental Dyscalculia

In contrast to quantity processing, up to date, the nature of ordinality has received little attention from researchers despite the fact that both quantity and ordinality are embodied in numerical information. Here we ask if there are two separate core systems that lie at the foundations of numerical cognition: (1) the traditionally and well accepted numerical magnitude system but also (2) core system for representing ordinal information. We report two novel experiments of ordinal processing that explored the relation between ordinal and numerical information processing in typically developing adults and adults with developmental dyscalculia (DD). Participants made “ordered” or “non-ordered” judgments about 3 groups of dots (non-symbolic numerical stimuli; in Experiment 1) and 3 numbers (symbolic task: Experiment 2). In contrast to previous findings and arguments about quantity deficit in DD participants, when quantity and ordinality are dissociated (as in the current tasks), DD participants exhibited a normal ratio effect in the non-symbolic ordinal task. They did not show, however, the ordinality effect. Ordinality effect in DD appeared only when area and density were randomized, but only in the descending direction. In the symbolic task, the ordinality effect was modulated by ratio and direction in both groups. These findings suggest that there might be two separate cognitive representations of ordinal and quantity information and that linguistic knowledge may facilitate estimation of ordinal information

Global modeling of aerosol dynamics: Model description, evaluation, and interactions between sulfate and nonsulfate aerosols

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/95258/1/jgrd12001.pd

Gender Gap in Parental Leave Intentions: Evidence from 37 Countries

Despite global commitments and efforts, a gender-based division of paid and unpaid work persists. To identify how psychological factors, national policies, and the broader sociocultural context contribute to this inequality, we assessed parental-leave intentions in young adults (18–30 years old) planning to have children (N = 13,942; 8,880 identified as women; 5,062 identified as men) across 37 countries that varied in parental-leave policies and societal gender equality. In all countries, women intended to take longer leave than men. National parental-leave policies and women’s political representation partially explained cross-national variations in the gender gap. Gender gaps in leave intentions were paradoxically larger in countries with more gender-egalitarian parental-leave policies (i.e., longer leave available to both fathers and mothers). Interestingly, this cross-national variation in the gender gap was driven by cross-national variations in women’s (rather than men’s) leave intentions. Financially generous leave and gender-egalitarian policies (linked to men’s higher uptake in prior research) were not associated with leave intentions in men. Rather, men’s leave intentions were related to their individual gender attitudes. Leave intentions were inversely related to career ambitions. The potential for existing policies to foster gender equality in paid and unpaid work is discussed.Gender Gap in Parental Leave Intentions: Evidence from 37 CountriespublishedVersio

Gender Gap in Parental Leave Intentions: Evidence from 37 Countries

Despite global commitments and efforts, a gender-based division of paid and unpaid work persists. To identify how psychological factors, national policies, and the broader sociocultural context contribute to this inequality, we assessed parental-leave intentions in young adults (18–30 years old) planning to have children (N = 13,942; 8,880 identified as women; 5,062 identified as men) across 37 countries that varied in parental-leave policies and societal gender equality. In all countries, women intended to take longer leave than men. National parental-leave policies and women’s political representation partially explained cross-national variations in the gender gap. Gender gaps in leave intentions were paradoxically larger in countries with more gender-egalitarian parental-leave policies (i.e., longer leave available to both fathers and mothers). Interestingly, this cross-national variation in the gender gap was driven by cross-national variations in women’s (rather than men’s) leave intentions. Financially generous leave and gender-egalitarian policies (linked to men’s higher uptake in prior research) were not associated with leave intentions in men. Rather, men’s leave intentions were related to their individual gender attitudes. Leave intentions were inversely related to career ambitions. The potential for existing policies to foster gender equality in paid and unpaid work is discussed

Evaluations of tropospheric aerosol properties simulated by the community earth system model with a sectional aerosol microphysics scheme

A sectional aerosol model (CARMA) has been developed and coupled with the Community Earth System Model (CESM1). Aerosol microphysics, radiative properties, and interactions with clouds are simulated in the size-resolving model. The model described here uses 20 particle size bins for each aerosol component including freshly nucleated sulfate particles, as well as mixed particles containing sulfate, primary organics, black carbon, dust, and sea salt. The model also includes five types of bulk secondary organic aerosols with four volatility bins. The overall cost of CESM1-CARMA is approximately ∼2.6 times as much computer time as the standard three-mode aerosol model in CESM1 (CESM1-MAM3) and twice as much computer time as the seven-mode aerosol model in CESM1 (CESM1-MAM7) using similar gas phase chemistry codes. Aerosol spatial-temporal distributions are simulated and compared with a large set of observations from satellites, ground-based measurements, and airborne field campaigns. Simulated annual average aerosol optical depths are lower than MODIS/MISR satellite observations and AERONET observations by ∼32%. This difference is within the uncertainty of the satellite observations. CESM1/CARMA reproduces sulfate aerosol mass within 8%, organic aerosol mass within 20%, and black carbon aerosol mass within 50% compared with a multiyear average of the IMPROVE/EPA data over United States, but differences vary considerably at individual locations. Other data sets show similar levels of comparison with model simulations. The model suggests that in addition to sulfate, organic aerosols also significantly contribute to aerosol mass in the tropical UTLS, which is consistent with limited data

A Hierarchical Approach to Characterizing the Fracture Behavior of Bone utilizing Synchrotron Radiation

Bone has a complex hierarchical microstructure that spans from the nanoscale of the collagen molecules to the macroscopic physiological scale. In order to assess bone's risk of fracture with issues such as aging, disease, or irradiation it is critical to have a clear mechanistic framework which analyzes bone's deformation and fracture behavior at each structurally significant length scale. In this context, this present study seeks to characterize the fracture properties of bone by applying a hierarchical approach. Accordingly, this study utilizes x-ray microtomography from synchrotron radiation in order to identify the crack-resistant extrinsic mechanisms in different types of cortical bone. It was found that bone, which is a highly anisotropic material, displays toughening through crack deflection, out of plane twist and crack bridging. Next this study utilizes in situ tensile tests with x-ray scattering to investigate the submicron deformation in bone; at this length scale bone toughens intrinsically through plasticity mechanisms such as fibrillar sliding. Lastly, this study uses this mechanistic framework to evaluate the effects of irradiation on the fracture properties of bone. Here it was found that bone exposed to high doses of irradiation, greater than 70 kGy (Gy=J/Kg), leads to a severe progressive dose dependent degradation in strength, ductility, and toughness which is attributed to a change in the crack path (extrinsic effect) and a degradation of the collagen integrity from altered collagen cross-link (intrinsic effect). Overall, the goal of this work is to outline a framework that can be applied to future studies investigating the effects of disease and aging on bone

A Hierarchical Approach to Characterizing the Fracture Behavior of Bone utilizing Synchrotron Radiation

Bone has a complex hierarchical microstructure that spans from the nanoscale of the collagen molecules to the macroscopic physiological scale. In order to assess bone's risk of fracture with issues such as aging, disease, or irradiation it is critical to have a clear mechanistic framework which analyzes bone's deformation and fracture behavior at each structurally significant length scale. In this context, this present study seeks to characterize the fracture properties of bone by applying a hierarchical approach. Accordingly, this study utilizes x-ray microtomography from synchrotron radiation in order to identify the crack-resistant extrinsic mechanisms in different types of cortical bone. It was found that bone, which is a highly anisotropic material, displays toughening through crack deflection, out of plane twist and crack bridging. Next this study utilizes in situ tensile tests with x-ray scattering to investigate the submicron deformation in bone; at this length scale bone toughens intrinsically through plasticity mechanisms such as fibrillar sliding. Lastly, this study uses this mechanistic framework to evaluate the effects of irradiation on the fracture properties of bone. Here it was found that bone exposed to high doses of irradiation, greater than 70 kGy (Gy=J/Kg), leads to a severe progressive dose dependent degradation in strength, ductility, and toughness which is attributed to a change in the crack path (extrinsic effect) and a degradation of the collagen integrity from altered collagen cross-link (intrinsic effect). Overall, the goal of this work is to outline a framework that can be applied to future studies investigating the effects of disease and aging on bone