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  1. Article: Nursing to bridge the gap: addressing healthcare inequalities in access to innovative treatments and diagnostic tools.

    Evans, Luke

    British journal of nursing (Mark Allen Publishing)

    2024  Volume 33, Issue 6, Page(s) 314–315

    MeSH term(s) Humans ; Healthcare Disparities
    Language English
    Publishing date 2024-03-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 1119191-0
    ISSN 0966-0461
    ISSN 0966-0461
    DOI 10.12968/bjon.2024.33.6.314
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3449: Show issues Location:
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  2. Article: From clinical to corporate: opportunities for nurses away from the bedside.

    Evans, Luke

    British journal of nursing (Mark Allen Publishing)

    2023  Volume 32, Issue 6, Page(s) 306–308

    Abstract: ... Luke ... ...

    Abstract Luke Evans
    MeSH term(s) Humans ; London ; Nurses
    Language English
    Publishing date 2023-03-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 1119191-0
    ISSN 0966-0461
    ISSN 0966-0461
    DOI 10.12968/bjon.2023.32.6.306
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    Zs.A 3449: Show issues Location:
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  3. Article ; Online: From Latent Dynamics to Meaningful Representations.

    Wang, Dedi / Wang, Yihang / Evans, Luke / Tiwary, Pratyush

    Journal of chemical theory and computation

    2024  

    Abstract: While representation learning has been central to the rise of machine learning and artificial intelligence, a key problem remains in making the learned representations meaningful. For this, the typical approach is to regularize the learned representation ...

    Abstract While representation learning has been central to the rise of machine learning and artificial intelligence, a key problem remains in making the learned representations meaningful. For this, the typical approach is to regularize the learned representation through prior probability distributions. However, such priors are usually unavailable or are ad hoc. To deal with this, recent efforts have shifted toward leveraging the insights from physical principles to guide the learning process. In this spirit, we propose a purely dynamics-constrained representation learning framework. Instead of relying on predefined probabilities, we restrict the latent representation to follow overdamped Langevin dynamics with a learnable transition density─a prior driven by statistical mechanics. We show that this is a more natural constraint for representation learning in stochastic dynamical systems, with the crucial ability to uniquely identify the ground truth representation. We validate our framework for different systems including a real-world fluorescent DNA movie data set. We show that our algorithm can uniquely identify orthogonal, isometric, and meaningful latent representations.
    Language English
    Publishing date 2024-04-22
    Publishing country United States
    Document type Journal Article
    ISSN 1549-9626
    ISSN (online) 1549-9626
    DOI 10.1021/acs.jctc.4c00249
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  4. Article ; Online: Examination of a novel expression-based gene-SNP annotation strategy to identify tissue-specific contributions to heritability in multiple traits.

    Mize, Travis J / Evans, Luke M

    European journal of human genetics : EJHG

    2022  Volume 32, Issue 3, Page(s) 263–269

    Abstract: Complex traits show clear patterns of tissue-specific expression influenced by single nucleotide polymorphisms (SNPs), yet current strategies aggregate SNP effects to genes by employing simple physical proximity-based windows. Here, we examined whether ... ...

    Abstract Complex traits show clear patterns of tissue-specific expression influenced by single nucleotide polymorphisms (SNPs), yet current strategies aggregate SNP effects to genes by employing simple physical proximity-based windows. Here, we examined whether incorporating SNPs with effects on tissue-specific cis-expression would improve our ability to detect trait-relevant tissues across 31 complex traits using stratified linkage disequilibrium score regression (S-LDSC). We found that a physical proximity annotation produced more significant tissue enrichments and larger S-LDSC regression coefficients, as compared to an expression-based annotation. Furthermore, we showed that our expression-based annotation did not outperform an annotation strategy in which an equal number of randomly chosen SNPs were annotated to genes within the same genomic window, suggesting extensive redundancy among SNP effect estimates due to linkage disequilibrium. That said, current sample sizes limit estimation of cis-genetic SNP effects; therefore, we recommend reexamination of the expression-based annotation when larger tissue-specific expression datasets become available. To examine the influence of sample size, we used a large whole blood eQTL reference panel (N = 31,684) applying a similar expression-based annotation strategy. We found that significant cis-expression QTLs in whole blood did not outperform the physical proximity annotation when estimating tissue-specific SNP heritability enrichment for either high- or low-density lipoprotein phenotypes but performed similarly for inflammatory bowel disease. Finally, we report new and updated tissue enrichment estimates across 31 complex traits, such as significant heritability enrichment of the frontal cortex for cognitive performance, educational attainment, and intelligence, providing further evidence of this structure's importance in higher cognitive function.
    MeSH term(s) Humans ; Polymorphism, Single Nucleotide ; Phenotype ; Quantitative Trait Loci ; Gene Expression ; Multifactorial Inheritance ; Genome-Wide Association Study
    Language English
    Publishing date 2022-11-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 1141470-4
    ISSN 1476-5438 ; 1018-4813
    ISSN (online) 1476-5438
    ISSN 1018-4813
    DOI 10.1038/s41431-022-01244-1
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    Zs.A 3589: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (2.OG)
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  5. Article ; Online: How rare mutations contribute to complex traits.

    Evans, Luke M / Romero Villela, Pamela N

    Nature

    2023  Volume 614, Issue 7948, Page(s) 418–419

    MeSH term(s) Multifactorial Inheritance/genetics ; Computational Biology ; Systems Biology ; Mutation
    Language English
    Publishing date 2023-02-08
    Publishing country England
    Document type News ; Comment
    ZDB-ID 120714-3
    ISSN 1476-4687 ; 0028-0836
    ISSN (online) 1476-4687
    ISSN 0028-0836
    DOI 10.1038/d41586-023-00272-1
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    Zs.MG 9: Show issues
    Zs.MO 244: Show issues

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  6. Article ; Online: Mechanisms matter: Predicting the ecological impacts of global change.

    Boult, Victoria L / Evans, Luke C

    Global change biology

    2021  Volume 27, Issue 9, Page(s) 1689–1691

    MeSH term(s) Conservation of Natural Resources ; Population Dynamics
    Language English
    Publishing date 2021-02-13
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 1281439-8
    ISSN 1365-2486 ; 1354-1013
    ISSN (online) 1365-2486
    ISSN 1354-1013
    DOI 10.1111/gcb.15527
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    In stock of ZB MED Bonn / Germany

    Z 6338: Show issues

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  7. Article ; Online: The Relationship Between Religiousness/Spirituality and Psychometric Intelligence in the United States.

    Lace, John W / Evans, Luke N

    Journal of religion and health

    2021  Volume 61, Issue 6, Page(s) 4516–4534

    Abstract: An inverse relationship between religiousness/spirituality (R/S) and psychometric intelligence (IQ) is well-documented in previous literature. However, the studies that have examined group differences on IQ regarding R/S have limited generalizability. ... ...

    Abstract An inverse relationship between religiousness/spirituality (R/S) and psychometric intelligence (IQ) is well-documented in previous literature. However, the studies that have examined group differences on IQ regarding R/S have limited generalizability. The present study contributed to the literature by evaluating IQ among participants identifying as differentially religious/spiritual (i.e., religious only, spiritual only, both religious and spiritual, or neither religious nor spiritual) and among those classified as either Christian/Catholic, Atheist, or Agnostic. Four hundred and thirty-two participants (M age = 37.9; 36% men) participated online via Amazon's Mechanical Turk as part of a larger study and completed a brief measure of IQ, a scale of religiousness and spirituality, and a demographics questionnaire. Correlations between IQ and self-reported religiousness/spirituality were small and negative (Mean r = -0.17), consistent with previous literature. Multivariate analyses of covariance (MANCOVAs) controlling for age, gender, education, and socioeconomic status (operationalized by estimated annual household income) indicated that IQ scores tended to be lowest (p < 0.001) for "religious only" participants (estimated marginal mean [EMM] = 93.0) and highest for "neither religious nor spiritual" participants (EMM = 103.7). Furthermore, IQ scores were significantly lower (ps < 0.001) for Christian/Catholic participants (EMM = 96.7) compared to both Atheist (EMM = 104.9) and Agnostic participants (EMM = 107.5). Discussion of these findings, relationships to previous theoretical and empirical work, limitations of the present study, and directions for future inquiry are provided.
    MeSH term(s) Adult ; Female ; Humans ; Intelligence ; Male ; Psychometrics ; Religion ; Spiritual Therapies ; Spirituality ; Surveys and Questionnaires ; United States
    Language English
    Publishing date 2021-08-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2017250-3
    ISSN 1573-6571 ; 0022-4197
    ISSN (online) 1573-6571
    ISSN 0022-4197
    DOI 10.1007/s10943-021-01394-4
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  8. Article ; Online: Population links between an insectivorous bird and moths disentangled through national-scale monitoring data.

    Evans, Luke Christopher / Burgess, Malcolm D / Potts, Simon G / Kunin, William E / Oliver, Tom H

    Ecology letters

    2024  Volume 27, Issue 1, Page(s) e14362

    Abstract: Insects are key components of food chains, and monitoring data provides new opportunities to identify trophic relationships at broad spatial and temporal scales. Here, combining two monitoring datasets from Great Britain, we reveal how the population ... ...

    Abstract Insects are key components of food chains, and monitoring data provides new opportunities to identify trophic relationships at broad spatial and temporal scales. Here, combining two monitoring datasets from Great Britain, we reveal how the population dynamics of the blue tit Cyanistes caeruleus are influenced by the abundance of moths - a core component of their breeding diet. We find that years with increased population growth for blue tits correlate strongly with high moth abundance, but population growth in moths and birds is less well correlated; suggesting moth abundance directly affects bird population change. Next, we identify moths that are important components of blue tit diet, recovering associations to species previously identified as key food sources such as the winter moth Operoptera brumata. Our work provides new evidence that insect abundance impacts bird population dynamics in natural communities and provides insight into spatial diet turnover at a national-scale.
    MeSH term(s) Animals ; Moths ; Songbirds ; Insecta ; Food Chain ; Seasons
    Language English
    Publishing date 2024-01-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 1441608-6
    ISSN 1461-0248 ; 1461-023X
    ISSN (online) 1461-0248
    ISSN 1461-023X
    DOI 10.1111/ele.14362
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    Z 2005/709: Show issues

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  9. Article ; Online: Disentangling differing relationships between internalizing disorders and alcohol use.

    Brasher, Maizy S / Grotzinger, Andrew D / Friedman, Naomi P / Smolker, Harry R / Evans, Luke M

    American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics

    2024  , Page(s) e32975

    Abstract: Both internalizing disorders and alcohol use have dramatic, wide-spread implications for global health. Previous work has established common phenotypic comorbidity among these disorders, as well as shared genetic variation underlying them both. We used ... ...

    Abstract Both internalizing disorders and alcohol use have dramatic, wide-spread implications for global health. Previous work has established common phenotypic comorbidity among these disorders, as well as shared genetic variation underlying them both. We used genomic structural equation modeling to investigate the shared genetics of internalizing, externalizing, and alcohol use traits, as well as to explore whether specific domains of internalizing symptoms mediate the contrasting relationships with problematic alcohol use compared to alcohol consumption. We also examined patterns of genetic correlations between similar traits within additional Finnish and East Asian ancestry groups. When the shared genetic influence of externalizing psychopathology was accounted for, the genetic effect of internalizing traits on alcohol use was reduced, suggesting the important role of common genetic factors underlying multiple psychiatric disorders and their genetic influences on comorbidity of internalizing and alcohol use traits. Individual internalizing domains had contrasting effects on frequency of alcohol consumption, which demonstrate the complex system of pleiotropy that exists, even within similar disorders, and can be missed when evaluating only relationships among formal diagnoses. Future work must consider the broad effects of shared psychopathology along with the fine-scale effects of heterogeneity within disorders to more fully understand the biology underlying complex traits.
    Language English
    Publishing date 2024-02-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2108616-3
    ISSN 1552-485X ; 1552-4841 ; 0148-7299
    ISSN (online) 1552-485X
    ISSN 1552-4841 ; 0148-7299
    DOI 10.1002/ajmg.b.32975
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    Zs.A 1376/B: Show issues Location:
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  10. Article ; Online: An operations research approach to automated patient scheduling for eye care using a multi-criteria decision support tool.

    Evans, Luke / Acton, Jennifer H / Hiscott, Carla / Gartner, Daniel

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 553

    Abstract: Inefficient management of resources and waiting lists for high-risk ophthalmology patients can contribute to sight loss. The aim was to develop a decision support tool which determines an optimal patient schedule for ophthalmology patients. Our approach ... ...

    Abstract Inefficient management of resources and waiting lists for high-risk ophthalmology patients can contribute to sight loss. The aim was to develop a decision support tool which determines an optimal patient schedule for ophthalmology patients. Our approach considers available booking slots as well as patient-specific factors. Using standard software (Microsoft Excel and OpenSolver), an operations research approach was used to formulate a mathematical model. Given a set of patients and clinic capacities, the model objective was to schedule patients efficiently depending on eyecare measure risk factors, referral-to-treatment times and targets, patient locations and slot availabilities over a pre-defined planning horizon. Our decision support tool can feedback whether or not a patient is scheduled. If a patient is scheduled, the tool determines the optimal date and location to book the patients' appointments, with a score provided to show the associated value of the decisions made. Our dataset from 519 patients showed optimal prioritization based on location, risk of serious vision loss/damage and the referral-to-treatment time. Given the constraints of available slots, managers can input hospital-specific parameters such as demand and capacity into our model. The model can be applied and implemented immediately, without the need for additional software, to generate an optimized patient schedule.
    MeSH term(s) Humans ; Operations Research ; Appointments and Schedules ; Waiting Lists ; Software ; Ambulatory Care Facilities
    Language English
    Publishing date 2023-01-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-26755-1
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