Correlates of active commuting, transport physical activity, and light rail use in a university setting

Introduction: This study identified correlates of active commute mode, transport physical activity (TPA), and intention to use light rail transit (LRT) at a large university in advance of a new LRT connection to campus. Methods: Staff, faculty and students completed a campus-wide travel survey in 2017. Multivariable logistic and linear regression models assessed associations between individual, organizational and environmental correlates with outcomes of interest in a sample of 6894 respondents to identify factors that may encourage a shift from vehicle to active commute modes and increase TPA. Results: Those who biked or walked to campus exceeded weekly physical activity recommendations in TPA alone. Commuting by transit was associated with higher levels of TPA, compared to vehicle commuting. Greater commute mode enjoyment was associated with active modes. Staff were least likely to commute via active transport (AT) and had fewer minutes of TPA. Women and Asian racial groups were less likely to report TPA. Rideshare and discounted transit pass use were positively associated with all outcomes. Conclusions: New LRT presents a critical opportunity to achieve gains in both campus health and environmental sustainability. The factors identified in this study should be further explored as potential intervention or programmatic targets to encourage mode shift

Measuring retention within the adolescent brain cognitive development (ABCD)SM study

The Adolescent Brain Cognitive Development (ABCD

Cryptic diversity in a fig wasp community-morphologically differentiated species are sympatric but cryptic species are parapatric

A key debate in ecology centres on the relative importance of niche and neutral processes in determining patterns of community assembly with particular focus on whether ecologically similar species with similar functional traits are able to coexist. Meanwhile, molecular studies are increasingly revealing morphologically indistinguishable cryptic species with presumably similar ecological roles. Determining the geographic distribution of such cryptic species provides opportunities to contrast predictions of niche versus neutral models. Discovery of sympatric cryptic species increases alpha diversity and supports neutral models, while documentation of allopatric/parapatric cryptic species increases beta diversity and supports niche models. We tested these predictions using morphological and molecular data, coupled with environmental niche modelling analyses, of a fig wasp community along its 2700 km latitudinal range. Molecular methods increased previous species diversity estimates from eight to eleven species, revealing morphologically cryptic species in each of the four wasp genera studied. Congeneric species pairs that were differentiated by a key morphological functional trait (ovipositor length) coexisted sympatrically over large areas. In contrast, morphologically similar species, with similar ovipositor lengths, typically showed parapatric ranges with very little overlap. Despite parapatric ranges, environmental niche models of cryptic congeneric pairs indicate large regions of potential sympatry, suggesting that competitive process are important in determining the distributions of ecologically similar species. Niche processes appear to structure this insect community and cryptic diversity may typically contribute mostly to beta rather than alpha diversity

Erratum to: 36th International Symposium on Intensive Care and Emergency Medicine

[This corrects the article DOI: 10.1186/s13054-016-1208-6.]

Leukocyte telomere length: Effects of schizophrenia, age, and gender.

BackgroundSchizophrenia is linked with early medical comorbidity and mortality. These observations indicate possible "accelerated biological aging" in schizophrenia, although prior findings are mixed, and few such studies have examined the role of gender. One putative marker of biological aging is leukocyte telomere length (LTL), which typically shortens with age.MethodsWe assessed LTL in phenotypically well characterized 134 individuals with schizophrenia (60 women and 74 men) and 123 healthy comparison subjects (HCs) (66 women and 57 men), aged 26 to 65 years.ResultsOverall, LTL was inversely associated with age (t(249) = -6.2, p < 0.001), and a gender effect on the rate of LTL decrease with age was found (t(249) = 2.20, p = 0.029), with men declining more rapidly than women. No significant overall effect of diagnosis on the rate of decline was detected. However, at the average sample age (48 years), there was a significant gender effect in both schizophrenia and HC groups (t(249) = 2.48, p = 0.014), with women having longer LTL than men, and a significant gender X diagnosis effect (t(249) = 2.43, p = 0.016) - at the average sample age, women with schizophrenia had shorter LTL than HC women.DiscussionGender, not the diagnosis of schizophrenia, was the major factor involved with LTL shortening across the age range studied. We discuss the constraints of a cross-sectional design and other methodological issues, and indicate future directions. Understanding the impact of schizophrenia on biological aging will require separate evaluations in men and women

Leukocyte telomere length: Effects of schizophrenia, age, and gender.

BackgroundSchizophrenia is linked with early medical comorbidity and mortality. These observations indicate possible "accelerated biological aging" in schizophrenia, although prior findings are mixed, and few such studies have examined the role of gender. One putative marker of biological aging is leukocyte telomere length (LTL), which typically shortens with age.MethodsWe assessed LTL in phenotypically well characterized 134 individuals with schizophrenia (60 women and 74 men) and 123 healthy comparison subjects (HCs) (66 women and 57 men), aged 26 to 65 years.ResultsOverall, LTL was inversely associated with age (t(249) = -6.2, p < 0.001), and a gender effect on the rate of LTL decrease with age was found (t(249) = 2.20, p = 0.029), with men declining more rapidly than women. No significant overall effect of diagnosis on the rate of decline was detected. However, at the average sample age (48 years), there was a significant gender effect in both schizophrenia and HC groups (t(249) = 2.48, p = 0.014), with women having longer LTL than men, and a significant gender X diagnosis effect (t(249) = 2.43, p = 0.016) - at the average sample age, women with schizophrenia had shorter LTL than HC women.DiscussionGender, not the diagnosis of schizophrenia, was the major factor involved with LTL shortening across the age range studied. We discuss the constraints of a cross-sectional design and other methodological issues, and indicate future directions. Understanding the impact of schizophrenia on biological aging will require separate evaluations in men and women

Maximal Antichain Lattice Algorithms for Distributed Computations

Abstract. The lattice of maximal antichains of a distributed computation is generally much smaller than its lattice of consistent global states. We show that a useful class of predicates can be detected on the lattice of maximal antichains instead of the lattice of consistent cuts obtaining significant (exponential for many cases) savings. We then propose new online and offline algorithms to construct and enumerate the lattice of maximal antichains. Previously known algorithm by Nourine and Raynoud [NR99,NR02] to construct the lattice takes O(n 2 m) time where n is the number of events in the computation, and m is the size of the lattice of maximal antichains. The algorithm by Jourdan, Rampon and Jard [JRJ94] takes O((n + w 2)wm) time where w is the width of the computation. All these algorithms assume as input the lattice of maximal antichains prior to the arrival of a new event. We present a new online incremental algorithm, OLMA, that computes the newly added elements to the lattice without requiring the prior lattice. Since the lattice may be exponential in the size of the computation, we get a significant reduction in the space complexity. The OLMA algorithm takes O(mw 2 log wL) time and O(wLw log n) space where wL is the width of the lattice of maximal antichains. The lower space complexity makes our algorithm applicable for online global predicate detection in a distributed system. For the purposes of analyzing offline traces, we also propose new enumeration algorithms to traverse the lattice.