1,670 research outputs found

    Climate-Related Investing Across Asset Classes

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    Responsible investment -- understood as the incorporation of environmental, social, and governance (ESG) information into investment analysis -- is a discipline that allows investors to:- Better assess long-term risks and opportunities in their portfolios; and- Better align their investment strategies with opportunities to create longterm wealth for investors and society alike.It is a tool for investors who seek to improve long-term financial returns through enhanced ESG analysis. It also appeals to mission or impact investors, who seek to achieve defined social and/or environmental goals while achieving targeted rates of return. In both cases, investors use responsible investment as a tool to improve their ability to achieve their goals.Climate change is among the most important issues addressed by today's responsible investment universe. The physical risks of climate change, the likelihood of major changes in political and regulatory investment environments as a result of climate change, the opportunities associated with a radical global transformation to a low-carbon economy -- these issues create far-reaching implications for investors as they make decisions about their investment strategies, and as they evaluate particular fund managers and investment opportunities. New ideas, products, and methods have entered the market to address the long-term implications of climate change.This short handbook takes as its premise that a climate lens reveals risks and opportunities across all elements of an investor's portfolio. Every asset class offers investors an opportunity to pursue climate-friendly investments, to mitigate exposure to climate risk, and to engage stakeholders to improve climate-related performance across the range of investment opportunities

    Exploring differences in adolescents' educational expectations: a structural equation modeling approach

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    2010 Fall.Includes bibliographical references.The current study examined a number of influences that are theorized to affect adolescents' educational expectations, including socio-economic status, perceived barriers to success, peer factors, family influences, school performance, and school adjustment. This study utilized a subset of pre-existing data, with the subset consisting of 76,218 students who completed the Community Drug and Alcohol Survey as part of a stratified random sample of junior high schools throughout the United States. The hypotheses were tested using structural equation modeling. The major findings were that Perceived Family SES was related to Resource Barriers, Resource Barriers was related to School Performance, Friends' School Adjustment was related to School Adjustment, Family Academic Support was related to School Adjustment, Friends' School Performance was related to School Performance, School Adjustment was related to School Performance, Family Academic Support was related to Educational Expectations, and School Performance was related to Educational Expectations. The measurement model results indicated that the latent construct of Perceived Barriers was more appropriately considered to be several distinct latent constructs. When this revision was taken into account, the measurement model achieved adequate fit (Robust NFI = .901, Robust CFI - .902). The structural equation model results found that the Perceived Barrier items may have been interpreted differently by the students than intended, with minority students in particular interpreting those items differently. While the peer constructs operated as hypothesized, the structural model achieved a better fit when Family Academic Support rather than School Performance, was used as a predictor of School Adjustment. Overall, the proximal indicator of Educational Expectations in the current study was School Performance. The initial structural model achieved a fit of Robust NFI = .811, Robust CFI = .812, and the revised structural model achieved improved fit at a level of Robust NFI = .859, Robust CFI = .860. While the current study is limited by a number of factors, the results are in agreement with findings from previous literature, and indicate that School Performance may be more important to understanding adolescents' Educational Expectations than previously acknowledged

    An Investigation of the Character Strengths and Resilience of Future Military Leaders

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    Introduction: The importance of both character and resilience for critical occupations (military, emergency medicine, first responders, and correctional officers) has been emphasized at the highest levels of military leadership. No studies to date have examined the relationship between character strengths and resilience within military populations. The purpose of this study was to evaluate the perceived importance of character strengths for Canadian military cadet success, the top strengths endorsed by cadets, and, in a subset of cadets, the relationships among core strengths and resilience. In line with previous research on character strengths in military populations, we predicted that bravery, honesty, perseverance, and teamwork might be included in the five most frequent signature strengths. Methods: A total of 360 Naval/Officer Cadets from a Canadian Military College were invited to participate in a study during two training sessions. Participants (n = 153) first completed a survey comprised of a resilience measure and demographic items. Then, one month later, students (n=134) were asked to complete a Values in Action (VIA) character strengths profile, and a survey with questions related to character strengths (their personal top-five character strengths, and strengths they believed were important for military-related stressors and leadership, academic success, resilience, and completion of military challenge). We were only able to match responses for a subset of participants, allowing a final sample of 94 participants. Results: Findings indicated that military cadets consider perseverance, judgment, teamwork, perspective, and self-regulation to be most critical for bouncing back from stressors. However, in line with our predictions, the most frequently endorsed strengths that characterized cadets were bravery, honesty, and perseverance. Finally, perseverance (p = .029), bravery (p = .01), and humor = .01) were positively correlated with cadet resilience, while endorsement of love was negatively correlated with resilience (p = .002). Conclusion: Focus on character strengths in military cadets can enhance academic and physical performance. Resilience assessment could be important for the purposes of military selection, performance, and well-being. Our findings indicate perseverance, bravery, and humor in particular might be relevant indicators of cadet resilience

    Character strengths and inner peace

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    This research explored the relationships among inner peace and character strengths, both of which are understood to contribute to wellbeing, using a cross-sectional design. In Study One (N = 25,302), we examined individuals’ perceptions of the strengths most relevant to fostering a sense of inner peace. In Study Two (N = 21,201), we examined relationships among individuals’ scores on the 24 character strengths and serenity and harmony in life. Interestingly, the strengths individuals believed to be important for fostering inner peace (in Study One) were different from those found to actually correlate with measures of inner peace (in Study Two). Hope was most strongly associated with facets of serenity (inner haven, trust, and acceptance) and harmony in life. Our findings indicate that, hope, zest, and gratitude are likely primary facets of inner peace, with spirituality and forgiveness acting as secondary facets for inner peace. Implications and future directions are discussed

    YOGY: a web-based, integrated database to retrieve protein orthologs and associated Gene Ontology terms

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    We present YOGY a web-based resource for orthologous proteins from nine eukaryotic organisms: Homo sapiens, Mus musculus, Rattus norvegicus, Arabidopsis thaliana, Drosophila melanogaster, Caenorhabditis elegans, Plasmodium falciparum, Schizosaccharomyces pombe and Saccharomyces cerevisiae. Using a gene name from any of these organisms as a query, this database provides comprehensive, combined information on orthologs in other species using data from five independent resources: KOGs, Inparanoid, HomoloGene, OrthoMCL and a table of curated fission and budding yeast orthologs. Associated Gene Ontology (GO) terms of orthologs can also be retrieved for functional inference. Integrating these different and complementary datasets provides a straightforward tool to identify known and predicted orthologs of proteins from a variety of species. This resource should be useful for bench scientists looking for functional clues for their genes of interest as well as for curators looking for information that can be transferred based on orthology and for rapidly identifying the relevant GO terms as an aid to literature curation. YOGY is accessible online at

    Model organism databases: essential resources that need the support of both funders and users.

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    Modern biomedical research depends critically on access to databases that house and disseminate genetic, genomic, molecular, and cell biological knowledge. Even as the explosion of available genome sequences and associated genome-scale data continues apace, the sustainability of professionally maintained biological databases is under threat due to policy changes by major funding agencies. Here, we focus on model organism databases to demonstrate the myriad ways in which biological databases not only act as repositories but actively facilitate advances in research. We present data that show that reducing financial support to model organism databases could prove to be not just scientifically, but also economically, unsound

    Improving functional annotation for industrial microbes: a case study with Pichia pastoris.

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    The research communities studying microbial model organisms, such as Escherichia coli or Saccharomyces cerevisiae, are well served by model organism databases that have extensive functional annotation. However, this is not true of many industrial microbes that are used widely in biotechnology. In this Opinion piece, we use Pichia (Komagataella) pastoris to illustrate the limitations of the available annotation. We consider the resources that can be implemented in the short term both to improve Gene Ontology (GO) annotation coverage based on annotation transfer, and to establish curation pipelines for the literature corpus of this organism.We gratefully acknowledge funding from the Wellcome Trust (PomBase and Canto; WT090548MA to SGO), and the EU 7th Framework Programme (BIOLEDGE Contract No: 289126 to SGO).This is the published version distributed under a Creative Commons Attribution License 2.0, which can also be found on the publisher's website at: http://www.sciencedirect.com/science/article/pii/S0167779914001061
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