40 research outputs found

    Implicitly imprinting the past on the present: Automatic partner attitudes and the transition to parenthood

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    A new model is proposed to explain how automatic partner attitudes affect how couples cope with major life transitions. The Automatic Partner Attitudes in Transition (APAT) model assumes that people simultaneously possess contextualized automatic attitudes toward their partner that can differ substantively in valence pre- and post-transition. It further assumes that evaluatively inconsistent pre- and post-transition automatic partner attitudes elicit heightened behavioral angst or uncertainty, self-protective behavior in response to risk, and relationship distress. A longitudinal study of the transition to first parenthood supported the model. People with evaluatively inconsistent automatic partner attitudes, whether more negative pre-transition and positive post-transition, or more positive pre-transition and negative post-transition, exhibited heightened evidence of cardiovascular threat discussing conflicts, increased self-protective behavior in response to parenting-related transgressions in daily interaction, and steeper declines in relationship well-being in the year following the transition to parenthood

    Generation of Marker- and Backbone-Free Transgenic Potatoes by Site-Specific Recombination and a Bi-Functional Marker Gene in a Non-Regular One-Border Agrobacterium Transformation Vector

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    A binary vector, designated PROGMO, was constructed to assess the potential of the Zygosaccharomyces rouxii R/Rs recombination system for generating marker- and backbone-free transgenic potato (Solanum tuberosum) plants with high transgene expression and low copy number insertion. The PROGMO vector utilises a constitutively expressed plant-adapted R recombinase and a codA-nptII bi-functional, positive/negative selectable marker gene. It carries only the right border (RB) of T-DNA and consequently the whole plasmid will be inserted as one long T-DNA into the plant genome. The recognition sites (Rs) are located at such positions that recombinase enzyme activity will recombine and delete both the bi-functional marker genes as well as the backbone of the binary vector, leaving only the gene of interest flanked by a copy of Rs¿and RB. Efficiency of PROGMO transformation was tested by introduction of the GUS reporter gene into potato. It was shown that after 21 days of positive selection and using 300 mgl¿1 5-fluorocytosine for negative selection, 29% of regenerated shoots carried only the GUS gene flanked by a copy of Rs and RB. The PROGMO vector approach is simple and might be widely applicable for the production of marker- and backbone-free transgenic plants of many crop species

    Facing the Facets: No Association Between Dispositional Mindfulness Facets and Positive Momentary Stress Responses During Active Stressors

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    Mindfulness has been associated with enhanced coping with stress. However, it remains unclear how dispositional mindfulness impacts the nature and valence of experiences during active stressors. Across 1,001 total participants, we used cardiovascular responses from the biopsychosocial model of challenge/threat to assess the degree to which individuals cared about a stressor in the moment and had a positive versus negative psychological experience. Although we found a small association between mindfulness—particularly the acting with awareness facet—and responses consistent with caring more about the stressor(i.e., greater task engagement), we found no evidence that mindfulness was associated with exhibiting a more positive psychological response (i.e., greater challenge)during the stressor. Despite no differences in the valence of momentary experiences as a function of mindfulness, individuals higher in mindfulness self-reported more positive experiences afterward. These findings suggest that dispositional mindfulness may benefit responses to active stressors only after they have passed

    SWP73 Subunits of Arabidopsis SWI/SNF Chromatin Remodeling Complexes Play Distinct Roles in Leaf and Flower Development

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    Arabidopsis thaliana SWP73A and SWP73B are homologs of mammalian BRAHMA-associated factors (BAF60s) that tether SWITCH/SUCROSE NONFERMENTING chromatin remodeling complexes to transcription factors of genes regulating various cell differentiation pathways. Here, we show that Arabidopsis thaliana SWP73s modulate several important developmental pathways. While undergoing normal vegetative development, swp73a mutants display reduced expression of FLOWERING LOCUS C and early flowering in short days. By contrast, swp73b mutants are characterized by retarded growth, severe defects in leaf and flower development, delayed flowering, and male sterility. MNase-Seq, transcript profiling, and ChIP-Seq studies demonstrate that SWP73B binds the promoters of ASYMMETRIC LEAVES1 and 2, KANADI1 and 3, and YABBY2, 3, and 5 genes, which regulate leaf development and show coordinately altered transcription in swp73b plants. Lack of SWP73B alters the expression patterns of APETALA1, APETALA3, and the MADS box gene AGL24, whereas other floral organ identity genes show reduced expression correlating with defects in flower development. Consistently, SWP73B binds to the promoter regions of APETALA1 and 3, SEPALLATA3, LEAFY, UNUSUAL FLORAL ORGANS, TERMINAL FLOWER1, AGAMOUS-LIKE24, and SUPPRESSOR OF CONSTANS OVEREXPRESSION1 genes, and the swp73b mutation alters nucleosome occupancy on most of these loci. In conclusion, SWP73B acts as important modulator of major developmental pathways, while SWP73A functions in flowering time control

    Lovers in a dangerous time: Ecologically motivated relationship safety regulation

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    The proposed model of ecologically motivated relationship safety regulation posits that close relationships offer symbolic safety when natural ecologically-based threats activate the need for self-preservation. The model makes the twin assumptions that (1) natural ecological threats motivate people in unreliable relationships to perceive their relationships as bastions of safety, but (2) that their personal capacities for resilience in the face of threat constrain such motivated perceptions. Two internal meta-analyses of 4 correlational/cross-sectional and 5 experimental studies (Ntotal=5,030) using different methods and conceptualizations of natural ecological threats (acute and chronic pain; pathogenic transmission) supported the hypotheses. People in less satisfying relationships symbolically defended against natural ecological threats by affirming the available safety in their close relationships when they were high in self-esteem (i.e., high in personal resiliency), but not when they were low in self-esteem. However, people in highly satisfying relationships did not defend against natural ecological threats, likely because they already felt safe in their relationships

    Constraint Based System-Level Diagnosis of Multiprocessors

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    Massively parallel multiprocessors induce new requirements for system-level fault diagnosis, like handling a huge number of processing elements in an inhomogeneous system. Traditional diagnostic models (like PMC, BGM, etc.) are insufficient to fulfill all of these requirements. This paper presents a novel modelling technique, based on a special area of artificial intelligence (AI) methods: constraint satisfaction (CS). The constraint based approach is able to handle functional faults in a similar way to the Russel-Kime model. Moreover, it can use multiple-valued logic to deal with system components having multiple fault modes. The resolution of the produced models can be adjusted to fit the actual diagnostic goal. Consequently, constrint based methods are applicable to a much wider range of multiprocessor architectures than earlier models. The basic problem of system-level diagnosis, syndrome decoding, can be easily transformed into a constraint satisfaction problem (CSP). Thus, the diagnosis algorithm can be derived from the related constraint solving algorithm. Different abstraction leveles can be used for the various diagnosis resolutions, employing the same methodology. As examples, two algorithms are described in the paper; both of them is intended for the Parsytec GCel massively parallel system. The centralized method uses a more elaborate system model, and provides detailed diagnostic information, suitable for off-line evaluation. The distributed method makes fast decisions for reconfiguration control, using a simplified model. Keywords system-level self-diagnosis, massively parallel computing systems, constraint satisfaction, diagnostic models, centralized and distributed diagnostic algorithms

    Recombinase technology: applications and possibilities

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    The use of recombinases for genomic engineering is no longer a new technology. In fact, this technology has entered its third decade since the initial discovery that recombinases function in heterologous systems (Sauer in Mol Cell Biol 7(6):2087–2096, 1987). The random insertion of a transgene into a plant genome by traditional methods generates unpredictable expression patterns. This feature of transgenesis makes screening for functional lines with predictable expression labor intensive and time consuming. Furthermore, an antibiotic resistance gene is often left in the final product and the potential escape of such resistance markers into the environment and their potential consumption raises consumer concern. The use of site-specific recombination technology in plant genome manipulation has been demonstrated to effectively resolve complex transgene insertions to single copy, remove unwanted DNA, and precisely insert DNA into known genomic target sites. Recombinases have also been demonstrated capable of site-specific recombination within non-nuclear targets, such as the plastid genome of tobacco. Here, we review multiple uses of site-specific recombination and their application toward plant genomic engineering. We also provide alternative strategies for the combined use of multiple site-specific recombinase systems for genome engineering to precisely insert transgenes into a pre-determined locus, and removal of unwanted selectable marker genes
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