115 research outputs found

    Compatibility studies of several molten uranium and thorium alloys in niobium, tantalum, and yttrium

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    Niobium, tantalum, yttrium, and Inconel have been used to contain molten aluminum, lead, tin, zinc, and several of their respective uranium and thorium alloys for various times up to 3000 hours and at temperatures ranging from 600 to 1100° C. Altogether 76 capsule tests were run, almost all in a static isothermal condition. Tantalum showed the best resistance followed by niobium, Inconel, and yttrium respectively. The systems, lead in tantalum and lead in niobium, showed the greatest potentials for possible liquid-metal fuel carrier systems. An alloy of uranium-bismuth-tin contained in tantalum also exhibited promising possibilities . The tabulated test data include a classification of the type of corrosion attack which occurred and a measured value of the amount of corrosive penetration. Each test was also given an arbitrary rating for easy reference comparisons. A number of photomicrographs are included for each set of tests

    Childhood Depression and Conduct Disorder: I. Behavioral, Affective, and Cognitive Aspects of Family Problem-Solving Interactions

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    We assessed the family interactions of depressed, conduct-disordered, mixed depressed-conductdisordered, and nonclinic children, ages 7-14 years, during a standardized family problem-solving discussion in the clinic. The child's and the mother's problem-solving proficiency, aversive behavior, and associated affective behavior (depressed and angry-hostile) were observed. The child and mother also rated each other's affect during the interaction for the dimensions sad, angry, critical, and happy on Likert-type scales. The child's and mother's cognitive constructions about the interaction were assessed using videomediated recall. Although all clinic groups had lower levels of effective problem solving than did nonclinic children, their deficiencies were somewhat different. Mixed and depressed children displayed high levels of depressed affect and low levels of angry affect, whereas conduct-disordered children displayed both angry and depressed affect. In addition, conduct-disordered children had lower levels of positive problem solving and higher levels of aversive content than did non-conduct-disordered children. Depressed and conduct-disordered children had higher levels of self-referent negative cognitions than did mixed and comparison children, and depressed children also had higher other-referent negative cognitions than did all other groups. The study provides support for theories and treatment that stress the importance of family problem-solving and conflict resolution skills in child psychopathology

    Sequential and Differential Interaction of Assembly Factors During Nitrogenase MoFe Protein Maturation

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    Nitrogenases reduce atmospheric nitrogen, yielding the basic inorganic molecule ammonia. The nitrogenase MoFe protein contains two cofactors, a [7Fe-9S-Mo-C-homocitrate] active-site species, designated FeMo-cofactor, and a [8Fe-7S] electron-transfer mediator called P-cluster. Both cofactors are essential for molybdenum-dependent nitrogenase catalysis in the nitrogen-fixing bacterium Azotobacter vinelandii. We show here that three proteins, NafH, NifW, and NifZ, copurify with MoFe protein produced by an A. vinelandii strain deficient in both FeMo-cofactor formation and P-cluster maturation. In contrast, two different proteins, NifY and NafY, copurified with MoFe protein deficient only in FeMo-cofactor formation. We refer to proteins associated with immature MoFe protein in the following as “assembly factors.” Copurifications of such assembly factors with MoFe protein produced in different genetic backgrounds revealed their sequential and differential interactions with MoFe protein during the maturation process. We found that these interactions occur in the order NafH, NifW, NifZ, and NafY/NifY. Interactions of NafH, NifW, and NifZ with immature forms of MoFe protein preceded completion of P-cluster maturation, whereas interaction of NafY/NifY preceded FeMo-cofactor insertion. Because each assembly factor could independently bind an immature form of MoFe protein, we propose that subpopulations of MoFe protein–assembly factor complexes represent MoFe protein captured at different stages of a sequential maturation process. This suggestion was supported by separate isolation of three such complexes, MoFe protein–NafY, MoFe protein–NifY, and MoFe protein–NifW. We conclude that factors involved in MoFe protein maturation sequentially bind and dissociate in a dynamic process involving several MoFe protein conformational states

    Discovery of a bipolar X-ray jet from the T Tauri star DG Tau

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    We have obtained and analyzed Chandra ACIS-S observations of the strongly accreting classical T Tauri star DG Tau. Our principal goals are to map the immediate environment of the star to characterize possible extended X-rays formed in the jet, and to re-visit the anomalous, doubly absorbed X-ray spectrum of DG Tau itself. We combine our new ACIS-S data with a data set previously obtained. The data are superimposed to obtain flux and hardness images. Separate X-ray spectra are extracted for DG Tau and areas outside its point spread function. We detect a prominent X-ray jet at a position angle of PA ~225 deg (tentatively suggested by Guedel et al. 2005), coincident with the optical jet axis. We also identify a counter jet at PA = 45 deg. The X-ray jets are detected out to a distance of ~5" from the star, their sources being extended at the ACIS-S resolution. The jet spectra are soft, with a best-fit electron temperature of 3.4 MK. We find evidence for excess absorption of the counter jet. The spectrum of the DG Tau point source shows two components with largely different temperatures and absorption column densities. The similar temperatures and small absorbing gas columns of the jet sources and the soft component of the "stellar" source suggest that these sources are related, produced either by shocks or by magnetic heating in the jets. Cooling estimates suggest that the pressure in the hot gas contributes to jet expansion. The hard "stellar" component, on the other hand, is associated with a stellar corona or magnetosphere. The excessive photoelectric absorption of this component suggests the presence of dust-depleted accretion streams above coronal magnetic fields.Comment: accepted by Astronomy & Astrophysics, 11 pages, 6 figure

    Sex differences in alpha-synucleinopathies: a systematic review

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    BackgroundPast research indicates a higher prevalence, incidence, and severe clinical manifestations of alpha-synucleinopathies in men, leading to a suggestion of neuroprotective properties of female sex hormones (especially estrogen). The potential pathomechanisms of any such effect on alpha-synucleinopathies, however, are far from understood. With that aim, we undertook to systematically review, and to critically assess, contemporary evidence on sex and gender differences in alpha-synucleinopathies using a bench-to-bedside approach.MethodsIn this systematic review, studies investigating sex and gender differences in alpha-synucleinopathies (Rapid Eye Movement (REM) Behavior Disorder (RBD), Parkinson’s Disease (PD), Dementia with Lewy Bodies (DLB), Multiple System Atrophy (MSA)) from 2012 to 2022 were identified using electronic database searches of PubMed, Embase and Ovid.ResultsOne hundred sixty-two studies were included; 5 RBD, 6 MSA, 20 DLB and 131 PD studies. Overall, there is conclusive evidence to suggest sex-and gender-specific manifestation in demographics, biomarkers, genetics, clinical features, interventions, and quality of life in alpha-synucleinopathies. Only limited data exists on the effects of distinct sex hormones, with majority of studies concentrating on estrogen and its speculated neuroprotective effects.ConclusionFuture studies disentangling the underlying sex-specific mechanisms of alpha-synucleinopathies are urgently needed in order to enable novel sex-specific therapeutics

    An improved general kinetic analysis of non-linear irreversible polymerisations

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    A method to predict average molecular weights before and after gelation for general irreversible non-linear polymerisations forming tree-like molecules is described. Recently developed numerical methods for solving two point boundary value problems are essential for the success of these calculations after gelation and open the way to eventually be able to efficiently predicting chain length distributions. Anionic and free-radical polymerisation of vinyl monomers in the presence of divinyl monomers or with transfer to polymer are taken as case studies. Comparison to experimental data and with simulation results obtained through “numerical fractionation” confirms the usefulness of current approach.FCT European Communit

    Optical Drug Monitoring: Photoacoustic Imaging of Nanosensors to Monitor Therapeutic Lithium in Vivo

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    Personalized medicine could revolutionize how primary care physicians treat chronic disease and how researchers study fundamental biological questions. To realize this goal, we need to develop more robust, modular tools and imaging approaches for in vivo monitoring of analytes. In this report, we demonstrate that synthetic nanosensors can measure physiologic parameters with photoacoustic contrast, and we apply that platform to continuously track lithium levels in vivo. Photoacoustic imaging achieves imaging depths that are unattainable with fluorescence or multiphoton microscopy. We validated the photoacoustic results that illustrate the superior imaging depth and quality of photoacoustic imaging with optical measurements. This powerful combination of techniques will unlock the ability to measure analyte changes in deep tissue and will open up photoacoustic imaging as a diagnostic tool for continuous physiological tracking of a wide range of analytes

    A systematic approach to assess climate information products applied to agriculture and food security in Guatemala and Colombia

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    [EN] Increased interannual climate variability affects agricultural livelihoods throughout the world. In many regions, climate services support decision-makers in their adaptation efforts. The range of these services and the number of associated information products have increased dramatically in recent years. However, the relationships between these products and their use and usability for targeted decision-making have rarely been systematically evaluated. Here, we report on the development of a systematic and user-centered approach to assess climate information products and networks of products; and apply it to products covering the nexus of climate, agri- culture, and food security in Guatemala and Colombia. Across both countries, we assessed 28 products used for agricultural decision making, outreach, planning research, and design of emergency responses. While climate- only information products play a central role in each network, information products intended to support agri- culture and food security need to integrate information from different themes or disciplines and sources at different scales. We find that major improvements in the credibility, legitimacy, scale, cognition, procedures, recommendations, and content of most existing products are required. Brevity and clarity of language are highlighted as desirable in both countries, as well as use of trusted and publicly-available data, and non-paper- based delivery formats. The approach and methodology are valuable for facilitating the prioritization of actions for improvement and/or the development of new products, thereby helping climate services for agriculture and food security to realize their true potential.We acknowledge support from the Climate Change, Agriculture and Food Security (CCAFS), under the project P42 Agroclimas 1 - Tailored agroclimatic and food security information for decision making in Latin America and P1604 Agroclimas 2 - Digitally integrated approaches for managing climate risks and increasing food security (http://bit.ly/2i3V0Nh).CCAFS is carried out with support from CGIAR Trust Fund Donors and through bilateral funding agreements. For details please visit https://ccafs.cgiar.org/donors.The views expressed in this paper cannot be taken to reflect the official opinions of these organizations. We also acknowledge support from the Colombian Ministry of Agriculture (MADR), who enable the co-production of climate services in Colombia through the AClimateColombia program (http://www.aclimatecolombia.org).JR-V and DG were partly supported by the project Climate Services for Resilient Development (CSRD)-United States Agency for International Development (USAID) Award#: AID-BFS-G-11-00002-10 towards the CGIAR Fund (MTO 069018). CSRD (http://www.cs4rd.org/) brings together public and private organizations and agencies committed to realizing the potential to enhance climate resilience and climate-smart policies and practices throughout the world, particularly in developing countries.Bouroncle-Seoane, C.; Müller, A.; Giraldo, D.; Rios, D.; Imbach, P.; Girón, E.; Portillo, F.... (2019). A systematic approach to assess climate information products applied to agriculture and food security in Guatemala and Colombia. Climate Services. 16:1-17. https://doi.org/10.1016/j.cliser.2019.100137S1171

    Biomarker Discovery by Novel Sensors Based on Nanoproteomics Approaches

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    During the last years, proteomics has facilitated biomarker discovery by coupling high-throughput techniques with novel nanosensors. In the present review, we focus on the study of label-based and label-free detection systems, as well as nanotechnology approaches, indicating their advantages and applications in biomarker discovery. In addition, several disease biomarkers are shown in order to display the clinical importance of the improvement of sensitivity and selectivity by using nanoproteomics approaches as novel sensors

    Improving the role of River Basin Organisations in sustainable river basin governance by linking social institutional capacity and basin biophysical capacity

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    The river basin organisation (RBO) model has been advocated as organisational best practice for sustainable river basin management, despite scant evidence of its effectiveness to manage complex river systems. This review provides a framework which combines functional social-institutional capacities with basin biophysical indicators in a diagnostic tool to determine RBO governance performance. Each of these two capacities are represented by four groups of indicators respectively covering social learning capacity and biophysical capacity. The distance and alignment between capacity and measure of performance scores can be used to prioritise program planning and resource allocation for improving river basin governance, and to undertake periodic evaluations as part of a trajectory analysis. The diagnostic functional framework provides tangible indicators of performance around key concepts in river basin governance. It offers a first attempt to strengthen the position and effectiveness of an RBO in dealing with complex adaptive systems
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