2,516 results match your criteria: "University of Durham.[Affiliation]"

Objectives: To determine oxygen saturation (SpO) values and their variability in healthy-term neonates at high altitude.

Methods: In a prospective multisite, non-randomized blinded study, we performed SpO measurements in healthy neonates admitted to postnatal wards and followed up in Public Health Nurse Clinics (PHNC) in Calgary, Alberta, Canada. We recruited healthy-term neonates (≥37 weeks) between 6 and 24 h of age.

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Radiative corrections are crucial for modern high-precision physics experiments, and are an area of active research in the experimental and theoretical community. Here we provide an overview of the state of the field of radiative corrections with a focus on several topics: lepton-proton scattering, QED corrections in deep-inelastic scattering, and in radiative light-hadron decays. Particular emphasis is placed on the two-photon exchange, believed to be responsible for the proton form-factor discrepancy, and associated Monte-Carlo codes.

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Article Synopsis
  • An international network is being developed to survey scientists continuously, gathering extensive datasets about their opinions over time.
  • Local coordinators at participating institutions will send out brief survey invitations to scientists, utilizing a simple 10-second survey format with a single statement and a five-point Likert scale.
  • A recent study successfully engaged over 20,000 scientists, receiving 6,807 responses, which demonstrates the feasibility of quickly measuring global scientific opinion, potentially aiding in policy-making and enhancing public understanding.
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The fact that rapid brain size increase was clearly a key aspect of human evolution has prompted many studies focusing on this phenomenon, and many suggestions as to the underlying evolutionary patterns and processes. No study to date has however separated out the contributions of change through time within vs. between hominin species while simultaneously incorporating effects of body size.

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Dark sector showers and hadronisation in Herwig 7.

Eur Phys J C Part Fields

November 2024

Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607 Hamburg, Germany.

We present a novel simulation of a strongly interacting dark sector also known as the Hidden Valley scenarios using angular ordered showers and the cluster hadronisation model in Herwig 7. We discuss the basics of this implementation and the scale hierarchies underpinning the simulation. With the help of a few benchmarks, we show the effect of variation of dark sector parameters on thrust and angularities within the dark sector, and study correlation functions, which can be helpful for understanding the angular structure of these events.

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Anomalous mass diffusion in a binary mixture and Rayleigh-Bénard instability.

Phys Rev E

October 2024

Department of Mathematics, University of Durham, DH1 3LE Durham, United Kingdom.

The onset of the Rayleigh-Bénard instability in a horizontal fluid layer is investigated by assuming the fluid as a binary mixture and the concentration buoyancy as the driving force. The focus of this study is on the anomalous diffusion phenomenology emerging when the mean squared displacement of molecules in the diffusive random walk is not proportional to time, as in the usual Fick's diffusion, but it is proportional to a power of time. The power-law model of anomalous diffusion identifies subdiffusion when the power-law index is smaller than unity, while it describes superdiffusion when the power-law index is larger than unity.

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Background: The data is evolving on exhaled carbon dioxide (ECO) levels for preterm infants requiring stabilisation.

Objectives: To establish the trends of ECO levels during the first 10 minutes of stabilisation in preterm infants at birth.

Methods: We conducted a multi-centre, prospective observational study.

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Consciousness Under the Spotlight: The Problem of Measuring Subjective Experience.

Wiley Interdiscip Rev Cogn Sci

December 2024

Departamento de Psicología Básica I, UNED, Madrid, Spain.

The study of consciousness is considered by many one of the most difficult contemporary scientific endeavors and confronts several methodological and theoretical challenges. A central issue that makes the study of consciousness so challenging is that, while the rest of science is concerned with problems that can be verified from a "third person" view (i.e.

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Article Synopsis
  • The study employs spin-echo small-angle neutron scattering (SESANS) to examine a wide range of structures in polymer-carbon nanocomposites, effectively covering length scales from 10 nm to 16 μm.
  • The data processing incorporates a consistent method across two different SESANS instruments, producing reliable data that can be analyzed using established hierarchical models in software like SasView.
  • This technique significantly enhances the ability to gather information about bulk structures, surpassing traditional scattering methods and opening new avenues for analyzing polymer nanocomposites across various scales.
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Background: Neonatal resuscitation airway training can be difficult as there is no feedback on the face mask technique. "JUNO" is a training respiratory function monitor that provides feedback on mask leak, ventilatory rate, and tidal volume.

Objective: To evaluate whether the use of the JUNO improves face mask ventilation techniques in manikin models.

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Many spectacular optical phenomena in animals are produced by reflective assemblies of guanine crystals. The crystals comprise planar H-bonded layers of π-stacked molecules with a high in-plane refractive index. By preferentially expressing the highly reflective π-stacked (100) crystal face and controlling its cross-sectional shape, organisms generate a diverse array of photonic superstructures.

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Attentional templates for target features versus locations.

Sci Rep

September 2024

Department of Psychology, University of Durham, Upper Mountjoy, South Rd, Durham, DH1 3LE, UK.

Visual search is guided by visual working memory representations (i.e., attentional templates) that are activated prior to search and contain target-defining features (e.

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Article Synopsis
  • Oxford ragwort (Senecio squalidus) is a unique hybrid species that provides insights into genetic changes after hybridization, due to its recent origin and specific genomic traits.
  • The study produced a comprehensive genome assembly, identifying over 30,000 protein-coding genes, with a significant portion of the genome made up of repetitive elements.
  • Key findings include evidence of varied genetic patterns among species, an unequal genetic contribution from the parent species, and the influence of genetic incompatibilities and natural selection on rapid genome stabilization in this hybrid lineage.
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Understanding the impacts of, and options for, controlling invasive species is crucial to their management. Wetlands are a widely invaded ecosystem, since dispersal of aquatic species is facilitated by seasonal flooding. This study evaluated the effects of the translocated pondweed Monochoria hastata on fish and rice production in two wetlands of Bangladesh over six years (2017-2022).

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Background: Eye-tracking technology could be used to study human factors during teamwork.

Objectives: This work aimed to compare the visual attention (VA) of a team member acting as both a team leader and managing the airway, compared to a team member performing the focused task of managing the airway in the presence of a dedicated team leader. This work also aimed to report differences in team performance, behavioural skills, and workload between the two groups using validated tools.

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Indigenous land-based practices for climate crisis adaptions.

Explore (NY)

November 2024

Department of Child Studies and Social Work, Associate Professor, Social Work, Faculty of Health, Community & Education, Mount Royal University, AB, Canada. Electronic address:

Indigenous communities across Canada persist at the forefront of environmental and climate-related challenges, necessitating a concerted effort to integrate traditional Indigenous land-based knowledge and practices that inherently promote environmental protection and resilience. Using a decolonial feminist theoretical framework, this research centers on Indigenous community perspectives on the climate crisis and their land-based adaptions. Such an approach empowers Indigenous communities to reclaim agency over their narratives and shape research agendas congruent with their lived realities and aspirations.

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Future projection of droughts in Morocco and potential impact on agriculture.

J Environ Manage

September 2024

Department of Engineering, University of Durham, South Road, DH1 3LE, United Kingdom.

The present study evaluates the future drought hazard in Morocco using a Multi-Model Ensemble (MME) approach. First, the artificial neural network-based MME is constructed using the General Circulation Models (GCMs) from the Climate Models Intercomparison Project phase 6 (CMIP6) which are most successful in representing the historical temperature and precipitation values. Next, the future changes in the precipitation, Potential EvapoTranspiration (PET) calculated using temperatures data, aridity index, and drought indices calculated via the Standardized Precipitation Evapotranspiration Index (SPEI) values were projected for the historical period 1980-2014, near future 2025-2050, mid future 2051-2075, and far future 2076-2100.

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One His, two His…the emerging roles of histidine in cellular nickel trafficking.

J Inorg Biochem

October 2024

Department of Chemistry, University of Massachusetts, Amherst, MA 01002, United States of America. Electronic address:

Biological environments present a complex array of metal-binding ligands. Metal-binding proteins have been the overwhelming focus of study because of their important and well-defined biological roles. Consequently, the presence of functional low molecular weight (LMW) metal-ligand complexes has been overlooked in terms of their roles in metallobiochemistry, particularly within cells.

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DNA manipulation is an essential tool in molecular microbiology research that is dependent on the ability of bacteria to take up and preserve foreign DNA by horizontal gene transfer. This process can be significantly impaired by the activity of bacterial restriction modification systems; bacterial operons comprising paired enzymatic activities that protectively methylate host DNA, while cleaving incoming unmodified foreign DNA. Ocr is a phage-encoded protein that inhibits Type I restriction modification systems, the addition of which significantly improves bacterial transformation efficiency.

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Unsupervised stochastic learning and reduced order modeling for global sensitivity analysis in cardiac electrophysiology models.

Comput Methods Programs Biomed

October 2024

Department of Engineering, University of Durham, South Road, Durham DH1 3LE, United Kingdom. Electronic address:

Background And Objective: Numerical simulations in electrocardiology are often affected by various uncertainties inherited from the lack of precise knowledge regarding input values including those related to the cardiac cell model, domain geometry, and boundary or initial conditions used in the mathematical modeling. Conventional techniques for uncertainty quantification in modeling electrical activities of the heart encounter significant challenges, primarily due to the high computational costs associated with fine temporal and spatial scales. Additionally, the need for numerous model evaluations to quantify ubiquitous uncertainties increases the computational challenges even further.

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Article Synopsis
  • * Inositol phosphorylceramide (IPC) plays a key role in leishmania species, with IPC synthase (IPCS) being a critical enzyme; clemastine fumarate has emerged as a potential IPCS inhibitor and an anti-leishmanial agent.
  • * Research reveals that while clemastine fumarate inhibits IPCS and alters metabolic pathways, its main action may involve different targets, suggesting further investigation is needed for effective treatment strategies.
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BCI Toolbox: An open-source python package for the Bayesian causal inference model.

PLoS Comput Biol

July 2024

Department of Psychology, University of California, Los Angeles, California, United States of America.

Psychological and neuroscientific research over the past two decades has shown that the Bayesian causal inference (BCI) is a potential unifying theory that can account for a wide range of perceptual and sensorimotor processes in humans. Therefore, we introduce the BCI Toolbox, a statistical and analytical tool in Python, enabling researchers to conveniently perform quantitative modeling and analysis of behavioral data. Additionally, we describe the algorithm of the BCI model and test its stability and reliability via parameter recovery.

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Background: BCL6 co-repressor () gene variants are involved in oculofaciocardiodental (OFCD) syndrome, acute myeloid leukaemia, renal tumours, and photoreceptor degenerative diseases. Here, we describe a British family with a pathogenic heterozygous variant in the gene causing congenital nuclear cataract.

Methods: Whole-exome sequencing was conducted on an individual affected by X-linked dominant congenital cataract in a three-generation family to establish the underlying genetic basis.

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Background: Lived experience researchers draw on their lived and living experiences to either lead on or inform research. Their personal experiences are relevant to the research topic and so they must manage the interplay of their health and healthcare experiences with the research, population, and data they work with, as well as the more general challenges of being a researcher. Lived experience researchers must navigate these dilemmas in addition to queries over their competency, due to issues relating to intersectionality and epistemic injustice.

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