Showing papers by "Brigham Young University published in 2010"

Social Relationships and Mortality Risk: A Meta-analytic Review

Abstract: Background The quality and quantity of individuals' social relationships has been linked not only to mental health but also to both morbidity and mortality. Objectives This meta-analytic review was conducted to determine the extent to which social relationships influence risk for mortality, which aspects of social relationships are most highly predictive, and which factors may moderate the risk. Data Extraction Data were extracted on several participant characteristics, including cause of mortality, initial health status, and pre-existing health conditions, as well as on study characteristics, including length of follow-up and type of assessment of social relationships. Results Across 148 studies (308,849 participants), the random effects weighted average effect size was OR = 1.50 (95% CI 1.42 to 1.59), indicating a 50% increased likelihood of survival for participants with stronger social relationships. This finding remained consistent across age, sex, initial health status, cause of death, and follow-up period. Significant differences were found across the type of social measurement evaluated (p<0.001); the association was strongest for complex measures of social integration (OR = 1.91; 95% CI 1.63 to 2.23) and lowest for binary indicators of residential status (living alone versus with others) (OR = 1.19; 95% CI 0.99 to 1.44). Conclusions The influence of social relationships on risk for mortality is comparable with well-established risk factors for mortality. Please see later in the article for the Editors' Summary

Tackling the widespread and critical impact of batch effects in high-throughput data

Abstract: High-throughput technologies are widely used, for example to assay genetic variants, gene and protein expression, and epigenetic modifications. One often overlooked complication with such studies is batch effects, which occur because measurements are affected by laboratory conditions, reagent lots and personnel differences. This becomes a major problem when batch effects are correlated with an outcome of interest and lead to incorrect conclusions. Using both published studies and our own analyses, we argue that batch effects (as well as other technical and biological artefacts) are widespread and critical to address. We review experimental and computational approaches for doing so.

Erosion of lizard diversity by climate change and altered thermal niches.

Abstract: It is predicted that climate change will cause species extinctions and distributional shifts in coming decades, but data to validate these predictions are relatively scarce Here, we compare recent and historical surveys for 48 Mexican lizard species at 200 sites Since 1975, 12% of local populations have gone extinct We verified physiological models of extinction risk with observed local extinctions and extended projections worldwide Since 1975, we estimate that 4% of local populations have gone extinct worldwide, but by 2080 local extinctions are projected to reach 39% worldwide, and species extinctions may reach 20% Global extinction projections were validated with local extinctions observed from 1975 to 2009 for regional biotas on four other continents, suggesting that lizards have already crossed a threshold for extinctions caused by climate change

Neutralization: new insights into the problem of employee systems security policy violations

Abstract: Employees' failure to comply with information systems security policies is a major concern for information technology security managers. In efforts to understand this problem, IS security researchers have traditionally viewed violations of IS security policies through the lens of deterrence theory. In this article, we show that neutralization theory, a theory prominent in Criminology but not yet applied in the context of IS, provides a compelling explanation for IS security policy violations and offers new insight into how employees rationalize this behavior. In doing so, we propose a theoretical model in which the effects of neutralization techniques are tested alongside those of sanctions described by deterrence theory. Our empirical results highlight neutralization as an important factor to take into account with regard to developing and implementing organizational security policies and practices.

Genetic evidence implicates the immune system and cholesterol metabolism in the aetiology of Alzheimer's disease.

Abstract: Background 1Late Onset Alzheimer's disease (LOAD) is the leading cause of dementia. Recent large genome-wide association studies (GWAS) identified the first strongly supported LOAD susceptibility genes since the discovery of the involvement of APOE in the early 1990s. We have now exploited these GWAS datasets to uncover key LOAD pathophysiological processes. Methodology We applied a recently developed tool for mining GWAS data for biologically meaningful information to a LOAD GWAS dataset. The principal findings were then tested in an independent GWAS dataset. Principal Findings We found a significant overrepresentation of association signals in pathways related to cholesterol metabolism and the immune response in both of the two largest genome-wide association studies for LOAD. Significance Processes related to cholesterol metabolism and the innate immune response have previously been implicated by pathological and epidemiological studies of Alzheimer's disease, but it has been unclear whether those findings reflected primary aetiological events or consequences of the disease process. Our independent evidence from two large studies now demonstrates that these processes are aetiologically relevant, and suggests that they may be suitable targets for novel and existing therapeutic approaches.

CROSSROADS---Microfoundations of Performance: Balancing Efficiency and Flexibility in Dynamic Environments

Abstract: Our purpose is to clarify the microfoundations of performance in dynamic environments. A key premise is that the microfoundational link from organization, strategy, and dynamic capabilities to performance centers on how leaders manage the fundamental tension between efficiency and flexibility. We develop several insights. First, regarding structure, we highlight that organizations often drift toward efficiency, and so balancing efficiency and flexibility comes, counterintuitively, through unbalancing to favor flexibility. Second, we argue that environmental dynamism, rather than being simply stable or dynamic, is a multidimensional construct with dimensions that uniquely influence the importance and ease of balancing efficiency and flexibility. Third, we outline how executives balance efficiency and flexibility through cognitively sophisticated, single solutions rather than by simply holding contradictions. Overall, we go beyond the caricature of new organizational forms as obsessed with fluidity and the simplistic view of routines as the microfoundation of performance. Rather, we contribute a more accurate view of how leaders effectively balance between efficiency and flexibility by emphasizing heuristics-based “strategies of simple rules,” multiple environmental realities, and higher-order “expert” cognition. Together, these insights seek to add needed precision to the microfoundations of performance in dynamic environments.

Unethical behavior in the name of the company: the moderating effect of organizational identification and positive reciprocity beliefs on unethical pro-organizational behavior.

Abstract: We examined the relationship between organizational identification and unethical pro-organizational behavior (UPB)—unethical behaviors conducted by employees to potentially benefit the organization. We predicted that organizational identification would be positively related to UPB and that positive reciprocity beliefs would moderate and strengthen this relationship. The results from 2 field studies support the interaction effect and show that individuals who strongly identify with their organization are more likely to engage in UPB when they hold strong positive reciprocity beliefs. Given the nature of reciprocity, our findings may suggest that highly identified employees who hold strong reciprocity beliefs may conduct UPB with an anticipation of a future reward from their organization. Theoretical and managerial implications of our results for understanding unethical behaviors are discussed.

Expected Idiosyncratic Skewness

Abstract: We test the prediction of recent theories that stocks with high idiosyncratic skewness should have low expected returns. Because lagged skewness alone does not adequately forecast skewness, we estimate a cross-sectional model of expected skewness that uses additional predictive variables. Consistent with recent theories, we find that expected idiosyncratic skewness and returns are negatively correlated. Specifically, the Fama-French alpha of a low-expected-skewness quintile exceeds the alpha of a high-expected-skewness quintile by 1.00% per month. Furthermore, the coefficients on expected skewness in Fama-MacBeth cross-sectional regressions are negative and significant. In addition, we find that expected skewness helps explain the phenomenon that stocks with high idiosyncratic volatility have low expected returns. The Author 2009. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org, Oxford University Press.

Enhancing Treatment Outcome of Patients at Risk of Treatment Failure: Meta-Analytic and Mega-Analytic Review of a Psychotherapy Quality Assurance System.

Abstract: Objective: Outcome research has documented worsening among a minority of the patient population (5% to 10%). In this study, we conducted a meta-analytic and mega-analytic review of a psychotherapy quality assurance system intended to enhance outcomes in patients at risk of treatment failure. Method: Original data from six major studies conducted at a large university counseling center and a hospital outpatient setting (N 6,151, mean age 23.3 years, female 63.2%, Caucasian 85%) were reanalyzed to examine the effects of progress feedback on patient outcome. In this quality assurance system, the Outcome Questionnaire–45 was routinely administered to patients to monitor their therapeutic progress and was utilized as part of an early alert system to identify patients at risk of treatment failure. Patient progress feedback based on this alert system was provided to clinicians so that they could intervene before treatment failure occurred. Meta-analytic and mega-analytic approaches were applied in intent-to-treat and efficacy analyses of the effects of feedback interventions. Results: Three forms of feedback interventions—integral elements of this quality assurance system—were effective in enhancing treatment outcome, especially for signal alarm patients. Two of the three feedback interventions were also effective in preventing treatment failure (clinical support tools and the provision of patient progress feedback to therapists). Conclusions: The current state of evidence appears to support the efficacy and effectiveness of feedback interventions in enhancing treatment outcome.

Failing to Learn? The Effects of Failure and Success on Organizational Learning in the Global Orbital Launch Vehicle Industry

Abstract: It is unclear whether the common finding of improved organizational performance with increasing organizational experience is driven by learning from success, learning from failure, or some combination of the two. We disaggregate these types of experience and address their relative (and interactive) effects on organizational performance in the orbital launch vehicle industry. We find that organizations learn more effectively from failures than successes, that knowledge from failure depreciates more slowly than knowledge from success, and that prior stocks of experience and the magnitude of failure influence how effectively organizations can learn from various forms of experience.

Insight into the Mechanism of the Influenza A Proton Channel from a Structure in a Lipid Bilayer

Abstract: The M2 protein from the influenza A virus, an acid-activated proton-selective channel, has been the subject of numerous conductance, structural, and computational studies. However, little is known at the atomic level about the heart of the functional mechanism for this tetrameric protein, a His37-Trp41 cluster. We report the structure of the M2 conductance domain (residues 22 to 62) in a lipid bilayer, which displays the defining features of the native protein that have not been attainable from structures solubilized by detergents. We propose that the tetrameric His37-Trp41 cluster guides protons through the channel by forming and breaking hydrogen bonds between adjacent pairs of histidines and through specific interactions of the histidines with the tryptophan gate. This mechanism explains the main observations on M2 proton conductance.

Perspective---Finding the Organization in Organizational Theory: A Meta-Theory of the Organization as a Social Actor

Abstract: Organization theory is a theory without a protagonist. Organizations are typically portrayed in organizational scholarship as aggregations of individuals, as instantiations of the environment, as nodes in a social network, as members of a population, or as a bundle of organizing processes. This paper hopes to highlight the need for understanding, explicating, and researching the enduring, noun-like qualities of the organization. We situate the organization in a broader social landscape by examining what is unique about the organization as a social actor. We propose two assumptions that underlie our conceptualization of organizations as social actors: external attribution and intentionality. We then highlight important questions and implications forming the core of a distinctively organizational analytical perspective.

Hippocampal volume deficits associated with exposure to psychological trauma and posttraumatic stress disorder in adults: a meta-analysis.

Abstract: Trauma exposure itself in the absence of posttraumatic stress disorder (PTSD) may be associated with hippocampal volume deficits. We meta-analytically compared hippocampal volumes in PTSD subjects, in trauma-exposed subjects without PTSD, and in trauma-unexposed subjects. Using the words and phrases PTSD, neuroimaging, hippocampus, brain, violence, trauma, abuse, rape, war, combat, accident, and disaster, we searched major computerized databases to obtain candidate studies through 2008 for inclusion. We identified 39 hippocampal volumetric studies in adults with PTSD compared to control groups consisting of either trauma-exposed controls without PTSD or trauma-unexposed controls, or both. We meta-analytically compared left, right, and total hippocampal volumes between 1) PTSD subjects and a trauma-unexposed group, 2) PTSD subjects and a trauma-exposed group without PTSD, and 3) a trauma-unexposed group and a trauma-exposed group without PTSD. Hippocampal volumes were smaller in the PTSD group and trauma-exposed group without PTSD compared to the trauma-unexposed group. Further, the right hippocampus was smaller in the PTSD group compared to the trauma-exposed group without PTSD. Additionally, the right hippocampus was larger than the left in the PTSD and trauma-unexposed groups but not in the trauma-exposed group without PTSD. Hippocampal volume reduction is associated with trauma exposure independent of PTSD diagnosis, albeit additional hippocampal reduction was found in PTSD compared to the trauma-exposed group without PTSD.

Proposing the online community self-disclosure model: the case of working professionals in France and the U.K. who use online communities

Abstract: The global use of online communities has exploded to involve hundreds of millions of users. Despite the tremendous social impact and business opportunities afforded by these communities, li...

Prevention of Treatment Failure: The Use of Measuring, Monitoring, and Feedback in Clinical Practice

Abstract: Empirical evidence shows that treatment failure is a significant problem and one that practitioners routinely overlook. A substantial minority of patients either fail to gain a benefit from the treatments offered to them, or they outright worsen by the time they leave treatment. Intervening in a timely fashion with such individuals cannot occur if practitioners are unaware of which cases are likely to have this outcome. Prevention of Treatment Failure describes procedures and techniques that can be used by clinical practitioners and administrators to identify patients who are at risk for treatment failure. The book summarizes evidence that convincingly shows that a shift in routine care is needed, and that such a shift can be accomplished easily through integrating specific methods of monitoring patient treatment response on a frequent basis in routine care. Treatment response is placed in the context of historical views of healthy functioning and operationalized through the use of brief self-report scales. Providing alert-signals to therapists, along with problem-solving tools, is suggested as an evidence-based practice that substantially reduces patient deterioration and increases the chances of the return to normal functioning. The book also provides illustrations on how accumulated data resulting from monitoring patient treatment response can be used to improve systems of care.

Diffusion Tensor Imaging of Mild to Moderate Blast-Related Traumatic Brain Injury and Its Sequelae

Abstract: To evaluate the effects of mild to moderate blast-related traumatic brain injury (TBI) on the microstructure of brain white matter (WM) and neurobehavioral outcomes, we studied 37 veterans and service members (mean age 31.5 years, SD = 7.2; post-injury interval 871.5 days; SD = 343.1), whose report of acute neurological status was consistent with sustaining mild to moderate TBI due to blast while serving in Iraq or Afghanistan. Fifteen veterans without a history of TBI or exposure to blast (mean age 31.4 years, SD = 5.4) served as a comparison group, including seven subjects with extracranial injury (post-injury interval 919.5 days, SD = 455.1), and eight who were uninjured. Magnetic resonance imaging disclosed focal lesions in five TBI participants. Post-concussion symptoms (Neurobehavioral Symptom Inventory), post-traumatic stress disorder (PTSD) symptoms (PTSD Checklist-Civilian), and global distress and depression (Brief Symptom Inventory) were worse in the TBI participants than the compariso...

Trends and considerations in robot-assisted autism therapy

Abstract: Recent research suggests that children with autism exhibit certain positive social behaviors while interacting with robots that are not observed while interacting with their peers, caregivers, and therapists. This paper explores trends in robot-assisted autism therapy, as well as some of the specific therapies that have been shown to elicit desirable social interactions when working with children with autism. Considerations for the design of robots for use in robot-assisted therapies are also presented. Finally, general conclusions and recommendations are made to help further the work of robot-assisted autism therapy.

A Nodule-Specific Protein Secretory Pathway Required for Nitrogen-Fixing Symbiosis

Abstract: The nitrogen-fixing symbiosis between Sinorhizobium meliloti and its leguminous host plant Medicago truncatula occurs in a specialized root organ called the nodule. Bacteria that are released into plant cells are surrounded by a unique plant membrane compartment termed a symbiosome. We found that in the symbiosis-defective dnf1 mutant of M. truncatula, bacteroid and symbiosome development are blocked. We identified the DNF1 gene as encoding a subunit of a signal peptidase complex that is highly expressed in nodules. By analyzing data from whole-genome expression analysis, we propose that correct symbiosome development in M. truncatula requires the orderly secretion of protein constituents through coordinated up-regulation of a nodule-specific pathway exemplified by DNF1.

Exploring a governance theory of supply chain management: barriers and facilitators to integration

Abstract: Supply chain management is rapidly growing as both a strategic initiative and an academic discipline. As firms increasingly include their supply chain partners in the development of business strategy, researchers will have to constantly reevaluate the underlying themes and emergent theories of strategic logistics, management, and marketing by introducing new topics and revisiting seminal extant results. As such, this research was developed to explore the important concept of supply chain integration through strategic governance theory development. Since supply chain governance is a relatively new topic, a grounded study of both new and existing integration facilitators and barriers is presented. The study was initiated with a qualitative “managerial” development of scale items followed by a full empirical analysis. The result is an industry based returning to the source methodology for testing current governance related issues in industry. Contributions include the development of multiple dimensions of supply chain governance across facilitators and barriers, an explanation of the interplay between governance facilitators of, and barriers to, integration, a discussion of strategic level managerial implications, and a call for the future extension of governance research into the theory wanting domain of logistics and supply chain management.

The opening of Pandora’s Box: climate change impacts on soil fertility and crop nutrition in developing countries

Abstract: Feeding the world’s growing population is a serious challenge. Food insecurity is concentrated in developing nations, where drought and low soil fertility are primary constraints to food production. Many crops in developing countries are supported by weathered soils in which nutrient deficiencies and ion toxicities are common. Many systems have declining soil fertility due to inadequate use of fertility inputs, ongoing soil degradation, and increasingly intense resource use by burgeoning populations. Climate models predict that warmer temperatures and increases in the frequency and duration of drought during the 21st century will have net negative effects on agricultural productivity. The potential effects of climate change on soil fertility and the ability of crops to acquire and utilize soil nutrients is poorly understood, but is essential for understanding the future of global agriculture. This paper explores how rising temperature, drought and more intense precipitation events projected in climate change scenarios for the 21st century might affect soil fertility and the mineral nutrition of crops in developing countries. The effects of climate change on erosion rates, soil organic carbon losses, soil moisture, root growth and function, root-microbe associations and plant phenology as they relate to mineral nutrition are discussed. Our analysis suggests that the negative impacts of climate change on soil fertility and mineral nutrition of crops will far exceed beneficial effects, which would intensify food insecurity, particularly in developing countries.

Effects of Dynamic Corrective Feedback on ESL Writing Accuracy

Abstract: Though recent research has shown that written corrective feedback (WCF) may improve aspects of writing accuracy in some English as a second language (ESL) contexts, many teachers continue to be confused about the practical steps they should utilize to help their students improve their writing. Moreover, some have raised concerns as to whether commonly used approaches to ESL writing pedagogy and grammar instruction are effective in helping students improve their linguistic accuracy. This article describes an instructional strategy we developed for improving students' accuracy based on insights gleaned from practice, research, and theory. We refer to this instructional methodology as dynamic WCF. The article also discusses a test of the methodology's efficacy that compared the performance of two groups of students, one using a conventional process approach to writing instruction and the other using the dynamic WCF approach. Test results demonstrated that although rhetorical competence, writing fluency, and writing complexity were largely unaffected by the dynamic WCF pedagogy, significant improvement was observed for writing accuracy.

Combining Phylogenomics and Fossils in Higher-Level Squamate Reptile Phylogeny: Molecular Data Change the Placement of Fossil Taxa

Abstract: Molecular data offer great potential to resolve the phylogeny of living taxa but can molecular data improve our understanding of relationships of fossil taxa? Simulations suggest that this is possible, but few empirical examples have demonstrated the ability of molecular data to change the placement of fossil taxa. We offer such an example here. We analyze the placement of snakes among squamate reptiles, combining published morphological data (363 characters) and new DNA sequence data (15,794 characters, 22 nuclear loci) for 45 living and 19 fossil taxa. We find several intriguing results. First, some fossil taxa undergo major changes in their phylogenetic position when molecular data are added. Second, most fossil taxa are placed with strong support in the expected clades by the combined data Bayesian analyses, despite each having >98% missing cells and despite recent suggestions that extensive missing data are problematic for Bayesian phylogenetics. Third, morphological data can change the placement of living taxa in combined analyses, even when there is an overwhelming majority of molecular characters. Finally, we find strong but apparently misleading signal in the morphological data, seemingly associated with a burrowing lifestyle in snakes, amphisbaenians, and dibamids. Overall, our results suggest promise for an integrated and comprehensive Tree of Life by combining molecular and morphological data for living and fossil taxa.

Geodesic graph cut for interactive image segmentation

Abstract: Interactive segmentation is useful for selecting objects of interest in images and continues to be a topic of much study. Methods that grow regions from foreground/background seeds, such as the recent geodesic segmentation approach, avoid the boundary-length bias of graph-cut methods but have their own bias towards minimizing paths to the seeds, resulting in increased sensitivity to seed placement. The lack of edge modeling in geodesic or similar approaches limits their ability to precisely localize object boundaries, something at which graph-cut methods generally excel. This paper presents a method for combining geodesic-distance information with edge information in a graphcut optimization framework, leveraging the complementary strengths of each. Rather than a fixed combination we use the distinctiveness of the foreground/background color models to predict the effectiveness of the geodesic distance term and adjust the weighting accordingly. We also introduce a spatially varying weighting that decreases the potential for shortcutting in object interiors while transferring greater control to the edge term for better localization near object boundaries. Results show our method is less prone to shortcutting than typical graph cut methods while being less sensitive to seed placement and better at edge localization than geodesic methods. This leads to increased segmentation accuracy and reduced effort on the part of the user.

Latin American Party Systems

Abstract: Political parties provide a crucial link between voters and politicians. This link takes a variety of forms in democratic regimes, from the organization of political machines built around clientelistic networks to the establishment of sophisticated programmatic parties. Latin American Party Systems provides a novel theoretical argument to account for differences in the degree to which political party systems in the region were programmatically structured at the end of the twentieth century. Based on a diverse array of indicators and surveys of party legislators and public opinion, the book argues that learning and adaptation through fundamental policy innovations are the main mechanisms by which politicians build programmatic parties. Marshalling extensive evidence, the book�s analysis shows the limits of alternative explanations and substantiates a sanguine view of programmatic competition, nevertheless recognizing that this form of party system organization is far from ubiquitous and enduring in Latin America.

The Corpus of Contemporary American English as the first reliable monitor corpus of English

Abstract: The Corpus of Contemporary American English is the first large, genre-balanced corpus of any language, which has been designed and constructed from the ground up as a 'monitor corpus', and which can be used to accurately track and study recent changes in the language. The 400 million words corpus is evenly divided between spoken, fiction, popular magazines, newspapers, and academic journals. Most importantly, the genre balance stays almost exactly the same from year to year, which allows it to accurately model changes in the 'real world'. After discussing the corpus design, we provide a number of concrete examples of how the corpus can be used to look at recent changes in English, including morph- ology (new suffixes -friendly and -gate), syntax (including prescriptive rules, quotative like, so not ADJ, the get passive, resultatives, and verb complementa- tion), semantics (such as changes in meaning with web, green, or gay), and lexis-- including word and phrase frequency by year, and using the corpus architecture to produce lists of all words that have had large shifts in frequency between specific historical periods.

Institutional Environment and Entrepreneurial Cognitions: A Comparative Business Systems Perspective

Abstract: In this study, we investigate the relationship between institutional elements of the social environment and entrepreneurial cognitions, which lead to the individual's venture creation decision. Emp...