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Bayesian inference can be extended to probability distributions defined in terms of their inverse distribution function, i.e. their quantile function. This applies to both prior and likelihood. Quantile-based likelihood is useful in models with sampling distributions which lack an explicit probability density function. Quantile-based prior allows for flexible distributions to express expert knowle

The equilibrium organization of two polymers in strong confinement has been extensively investigated in the scope of simple models in the recent past, after it was suggested that the entropic repulsion between polymers could be a mechanism for chromosome separation in living cells. Despite many efforts, how solvent quality can manipulate separation or compaction for the formation of domains in a t

This paper extends the application of quantile-based Bayesian inference to probability distributions defined in terms of quantiles of observable quantities. Quantile-parameterized distributions are characterized by high shape flexibility and parameter interpretability, making them useful for eliciting information about observables. To encode uncertainty in the quantiles elicited from experts, we p

The self avoiding walk (SAW) model of the polymer has been extended to study the equilibrium properties of double stranded DNA (dsDNA) where two strands of the dsDNA are modeled by two mutually attracting self-avoiding walks (MASAWs) in the presence of an attractive surface. We study simultaneous adsorption and force induced melting transitions and explore different phases of DNA. It is observed t

Applying evidence builds on the conclusions of the assessment of the evidence. The aim of the chapter is to describe a range of ways of summarising and visualising different types of evidence so that it can be used in various decision-making processes. Evidence can also be presented as part of evidence capture sheets, argument maps, mind maps, theories of change, Bayesian networks or evidence rest

In this study we derive analytically the equilibrium melting probabilities for basepairs of a DNA molecule with a defect site. We assume that the defect is characterized by a change in the Watson-Crick basepair energy of the defect basepair, and in the associated two stacking energies for the defect, as compared to the remaining parts of the DNA. The defect site could, for instance, occur due to D

Microtubules are dynamic intracellular fibers that have been observed experimentally to undergo spontaneous self-alignment. We formulate a three-dimensional (3D) mean-field theory model to analyze the nematic phase transition of microtubules growing and interacting within a 3D space, then make a comparison with computational simulations. We identify a control parameter Geff and predict a unique cr

Grassroots initiatives (GIs) are local, yet globally connected networks of activists that generate novel solutions for sustainability. While GIs are often claimed to play an important role for urban sustainability transitions, little research has examined how such innovations consolidate beyond isolated local initiatives. This article summarizes findings from a case study of the collaborative econ

Objective Describe demographical, social and psychological correlates of willingness to receive a COVID-19 vaccine. Setting Series of online surveys undertaken between March and October 2020. Participants A total of 25 separate national samples (matched to country population by age and sex) in 12 different countries were recruited through online panel providers (n=25 334). Primary outcome measures

The study describes findings from a community-based participatory and challenge-driven research programme, that aimed to improve health equity through a health promotion platform in an ethnically diverse low-income neighbourhood of Malmo, Sweden. Local residents, together with lay health promoters living in the area, were actively involved in the planning phase and decided on the structure and con

The infrastructure construction sector is a significant source of carbon emissions, and more stringent procurement requirements are central to meeting reduction targets in this demand-led and project-based industry. This paper aims to analyze the implementation of international policies for reducing carbon emissions in infrastructure construction, focusing on the interaction between policy ambitio

BACKGROUND: Increased aortic stiffness (arteriosclerosis) is associated with early vascular aging independent of age and sex. The underlying mechanisms of early vascular aging remain largely unexplored in the general population. We aimed to investigate the plasma metabolomic profile in aortic stiffness (vascular aging) and associated risk of incident cardiovascular disease and mortality.METHODS AN

As humanity faces multiple mutually-reinforcing social-ecological crises, rhetoric on transformations abounds. However, transformations are normative, politically-contested processes that risk perpetuating, or even exacerbating, the ecological and socio-economic crises of today. We argue that transformations should seek to enhance human and non-human well-being within the planetary boundaries; a g

Straw and nutrients retained in soil are crucial for priming effect (PE) and consequently for soil organic matter (SOM) turnover. However, the mechanisms by which carbon (C), nitrogen (N), and phosphorus (P) and their stoichiometric ratios impact microbial communities and regulate the PE intensity remain controversial, particularly in the flooded rice soils. In this work, the PE dynamics and micro

Background: Long-term recovery following critical COVID-19 has not been sufficiently studied. Objective: The primary objective was to describe changes in functional outcome and Health-Related Quality of Life (HRQoL) between 3 and 12 months in critically ill COVID-19 survivors. The secondary objective was to investigate factors associated with good functional outcome and HRQoL at 12 months. Methods

Objectives: To evaluate the feasibility of AI-assisted reading of prostate magnetic resonance imaging (MRI) in Organized Prostate cancer Testing (OPT). Methods: Retrospective cohort study including 57 men with elevated prostate-specific antigen (PSA) levels ≥3 µg/L that performed bi-parametric MRI in OPT. The results of a CE-marked deep learning (DL) algorithm for prostate MRI lesion detection wer