Matrix product ansatz for Fermi fields in one dimension

Chung, Sangwoo S.; Sun, Kuei; Bolech, C. J.

doi:10.1103/physrevb.91.121108

Cited by 91 publications

(88 citation statements)

References 62 publications

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“…Data were analyzed using R version 3.4.4 statistical software (The R Foundation for Statistical Computing, Vienna, Austria) [13] and imputation was done using the "mice" package [14].…”

Section: Discussionmentioning

confidence: 99%

Serotonergic Regulation and Cognition after Stroke: The Role of Antidepressant Treatment and Genetic Variation

et al. 2019

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Introduction: Serotonin affects several brain functions including cognition. The serotonin transporter (SERT) regulates brain serotonin levels through reuptake into neurons. The gene encoding this transporter, the SERT gene, has several functional polymorphisms affecting the number of transporters and thereby the serotonin levels. SERT gene expression may be important for cognition and selective serotonin reuptake inhibitors (SSRI) may improve cognition post stroke. We therefore examined the association between SERT genotypes, cognitive function and early treatment with the SSRI citalopram among non-depressed Caucasian stroke patients. Patients and Methods: SERT gene polymorphisms in 270 non-depressed first-ever acute ischemic stroke patients randomized to citalopram, n = 130, or placebo, n = 140, were investigated. Patients were genotyped for a length polymorphism (L = long and S = short allele) and a single nucleotide polymorphism (A/G substitution) dividing the L-allele into L_A and L_G. According to these genotypes, patients were further grouped according to low (S/S, L_G/S and L_G/L_G), medium (S/L_A and L_G/L_A), or high functional gene expression (L_AL_A). Cognition was measured by the Symbol Digit Modalities Test (SDMT) at 1 and 6 months. Mean SDMT scores according to genotype and randomization groups were compared using multiple logistic regression adjusting for age, stroke severity, premorbid functional status, and vascular risk factors including smoking, hypertension, and diabetes. Results: Stratified by genotype groups, there were no statistically significant differences in SDMT scores between randomization groups. Placebo-treated patients with low SERT expression genotypes, however, tended to have lower mean SDMT scores (at 1 month: 30.2, SD 10.8) compared to citalopram-treated patients (33.6, SD 13.7). Within the placebo group, the low genotype expression patients had significantly lower adjusted mean SDMT scores at 1 month compared to the high genotype expression patients (adjusted mean difference of –6 points, CI –12.0 to –0.05). We found similar results at 6 months, although not statistically significant. The genotype expression was not associated with SDMT scores among citalopram-treated patients. Conclusion: There was no difference in cognition between citalopram and placebo-treated patients according to the genotype group. Our results indicate, however, that low expression SERT genotype may contribute to reduced cognitive function post stroke as placebo-treated patients with low SERT expression tended to score lower on the SDMT. The significant difference in SDMT scores between low and high expression patients was present only in the placebo-treated group, thereby warranting further exploration of the potential effect of early citalopram treatment on cognitive functioning. Our results are preliminary and need replication in larger-scale studies.

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“…Data were analyzed using R version 3.4.4 statistical software (The R Foundation for Statistical Computing, Vienna, Austria) [13] and imputation was done using the "mice" package [14].…”

Section: Discussionmentioning

confidence: 99%

Serotonergic Regulation and Cognition after Stroke: The Role of Antidepressant Treatment and Genetic Variation

et al. 2019

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“…Where data were presented only in graphical format, we used digitizing software (WebPlotDigitizer version 4.1; Rohatgi, 2018) to extract these. Means, standard errors and sample sizes were then used to calculate Hedges' d standardized mean difference as a measure of effect size (Box S1; Hedges, 1981;Hillebrand & Gurevitch, 2016) using the metafor package in r (Viechtbauer, 2010). We arbitrarily assigned effect sizes positive (>0) when resident individuals showed a fitness benefit, and negative (<0) when migrants showed a benefit.…”

Section: Data Extractionmentioning

confidence: 99%

Fitness consequences of different migratory strategies in partially migratory populations: A multi‐taxa meta‐analysis

Buchan

Gilroy

Catry

et al. 2019

Journal of Animal Ecology

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Partial migration—wherein migratory and non‐migratory individuals exist within the same population—represents a behavioural dimorphism; for it to persist over time, both strategies should yield equal individual fitness. This balance may be maintained through trade‐offs where migrants gain survival benefits by avoiding unfavourable conditions, while residents gain breeding benefits from early access to resources. There has been little overarching quantitative analysis of the evidence for this fitness balance. As migrants—especially long‐distance migrants—may be particularly vulnerable to environmental change, it is possible that recent anthropogenic impacts could drive shifts in fitness balances within these populations. We tested these predictions using a multi‐taxa meta‐analysis. Of 2,939 reviewed studies, 23 contained suitable information for meta‐analysis, yielding 129 effect sizes. Of these, 73% (n = 94) reported higher resident fitness, 22% (n = 28) reported higher migrant fitness, and 5% (n = 7) reported equal fitness. Once weighted for precision, we found balanced fitness benefits across the entire dataset, but a consistently higher fitness of residents over migrants in birds and herpetofauna (the best‐sampled groups). Residency benefits were generally associated with survival, not breeding success, and increased with the number of years of data over which effect sizes were calculated, suggesting deviations from fitness parity are not due to sampling artefacts. A pervasive survival benefit to residency documented in recent literature could indicate that increased exposure to threats associated with anthropogenic change faced by migrating individuals may be shifting the relative fitness balance between strategies.

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“…The meta-analyses were performed with the "metafor" R package (Viechtbauer, 2010), using multi-level models with random effects for studies, species, and phylogeny. Study, species, and phylogenetic heterogeneity were calculated as the percentage of variance that each factor accounted for (of the total of all variance components) in each model.…”

Section: Literature Meta-analysismentioning

confidence: 99%

Challenging a 15‐year‐old claim: The North Atlantic Oscillation index as a predictor of spring migration phenology of birds

Haest

Hüppop

Bairlein

2018

Global Change Biology

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Many migrant bird species that breed in the Northern Hemisphere show advancement in spring arrival dates. The North Atlantic Oscillation (NAO) index is one of the climatic variables that have been most often investigated and shown to be correlated with these changes in spring arrival. Although the NAO is often claimed to be a good predictor or even to have a marked effect on interannual changes in spring migration phenology of Northern Hemisphere breeding birds, the results on relations between spring migration phenology and NAO show a large variety, ranging from no, over weak, to a strong association. Several factors, such as geographic location, migration phase, and the NAO index time window, have been suggested to partly explain these observed differences in association. A combination of a literature meta-analysis, and a meta-analysis and sliding time window analysis of a dataset of 23 short- and long-distance migrants from the constant-effort trapping garden at Helgoland, Germany, however, paints a completely different picture. We found a statistically significant overall effect size of the NAO on spring migration phenology (coefficient = -0.14, SE = 0.054), but this on average only explains 0%-6% of the variance in spring migration phenology across all species. As such, the value and biological meaning of the NAO as a general predictor or explanatory variable for climate change effects on migration phenology of birds, seems highly questionable. We found little to no definite support for previously suggested factors, such as geographic location, migration phenology phase, or the NAO time window, to explain the heterogeneity in correlation differences. We, however, did find compelling evidence that the lack of accounting for trends in both time series has led to strongly inflated (spurious) correlations in many studies (coefficient = -0.13, SE = 0.019).

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Matrix product ansatz for Fermi fields in one dimension

Cited by 91 publications

References 62 publications

Serotonergic Regulation and Cognition after Stroke: The Role of Antidepressant Treatment and Genetic Variation

Serotonergic Regulation and Cognition after Stroke: The Role of Antidepressant Treatment and Genetic Variation

Fitness consequences of different migratory strategies in partially migratory populations: A multi‐taxa meta‐analysis

Challenging a 15‐year‐old claim: The North Atlantic Oscillation index as a predictor of spring migration phenology of birds

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