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MHC Diversity Across Time and Space

Most natural populations are genetically diverse. Understanding how diversity is maintained and distributed across time and space can provide insights into the potential for evolution and extinction of populations. Immunogenetic diversity aids individuals and populations in resisting infectious disease, with many studies linking resistance to genes encoding adaptive immune responses, such as the m

Push-pull amino-substituted heteroleptic iron N-heterocyclic carbene photosensitizers in dye-sensitized solar cells : optimization and characteristics

In this work, four dyes—consisting of heteroleptic iron N-heterocyclic carbene (NHC) complexes—were investigated in dye-sensitized solar cell (DSC) applications to explore their behavior and interactions with the overall cell. Three of the four dyes contained amino-based electron donor moieties, while one was without this type of structure, and instead had only a hydrogen atom. Compared to earlier

Robust statistical jump models

Statistical Jump Models are a class of regime identification models,similar to Hidden Markov Models, with the added advantage of facilitatinglarge-scale integration of exogenous variables that influence thelatent regime-switching process. Recent advancements in SJMs includethe introduction of automatic feature selection techniques, which eliminateirrelevant exogenous information and enhance the mo

When the prompting stops : Exploring teachers’ work around the educational frailties of generative AI tools

Teachers are now encouraged to use generative artificial intelligence (GenAI) tools to complete various school-related administrative tasks, with the promise of saving considerable amounts of time and effort. Drawing on interviews from 57 teachers across eight schools in Sweden and Australia, this paper explores teachers’ experiences when working with GenAI. In particular, it focuses on the large

Brain injury after cardiac arrest - the predictive information of computed tomography

Background and aimHypoxic-ischaemic encephalopathy (HIE) is a leading cause of morbidity and mortality in unconscious patients resuscitated after out-of-hospital cardiac arrest. Many patients die after withdrawal of life-sustaining treatments (WLST), often due to a presumed poor prognosis. To minimise the risk of premature WLST, guidelines recommend using a multimodal prognostication. Head compute

Lyrikundervisning för dagens studenter och morgondagens elever : Transmedialt berättande och litteraturdidaktiska repertoarer

I en tid präglad av konvergenskultur har en undervisningsdesign baserad på transmedialitet skapats för studenter på ämneslärarprogrammet i svenska för att dels visa på alternativa sätt att analysera dikter, dels visa på alternativa sätt att undervisa i lyrik och lyrikanalys och därigenom vidga den litteraturdidaktiska repertoaren för framtidens ämneslärare. Syftet med studien är att undersöka lära

Litteraturdidaktik i samtiden för framtiden : Svenskämnets komplexa uppdrag

Mot bakgrund av samhälleliga förändringar är artikelns syfte att bidra med kunskap om hur en undervisningsdesign som utmärks av upplösta gränser mellan estetiska och mediala uttrycksformer, och som sätter berättelser i centrum, kan synliggöra och möjliggöra elevers individuella och kollektiva meningsskapande och uppmuntra till nyfikenhet och förståelse för andra och för andras berättelser, för att

Green national paradox? : How the far right turned Sweden from a (reputed) pioneer of climate mitigation to an obstructor

Sweden has swiftly transitioned from being considered a progressive pioneer in climate mitigation to the forefront of late obstruction. The proximate cause was the general elections in 2022, after which the Sweden Democrats (SD) gained authority over the country's climate policies. This paper explores how the far right turned Sweden from a (reputed) pioneer of climate mitigation to an obstructor,

A multiscale in situ time-resolved study of the nano- to millisecond structural dynamics during protein crystallization

Protein crystallization is key to determining the structure of proteins at atomic resolution. It can occur naturally, including in pathological pathways, for instance with aquaporin and γ-crystallin proteins. A fundamental understanding of the underlying crystallization process is both technologically and biologically relevant. A multitechnique approach is employed here to investigate protein crys

A digital tool for life cycle assessment in construction projects

The building and construction industry is responsible for around 40% of global greenhouse gas emissions, driving the urgent need for new regulations. As such, the life cycle assessment (LCA) methodology has become fundamental for evaluating environmental impacts. Despite the need for digital tools to support environmental performance evaluations, the lack of guidance on developing such tools hindeThe building and construction industry is responsible for around 40% of global greenhouse gas emissions, driving the urgent need for new regulations. As such, the life cycle assessment (LCA) methodology has become fundamental for evaluating environmental impacts. Despite the need for digital tools to support environmental performance evaluations, the lack of guidance on developing such tools hinde

Gender balance and inclusivity lie in the or g anizers’ hands: insights from org anizing the 7th International Induced Polarization Workshop

Our viewpoint highlights the challenges faced by women in the Induced Polarization (IP) community (and elsewhere), particularly the persistent gender imbalance in scientific workshops. This underrepresentation in leadership roles, presentations and discussions reflects broader systemic biases in academia. By sharing the experience of the 7th IP workshop, where the organizing team made deliberate eff

The Political Economy of Central Asian Law: A Law and Society Analysis

This open-access book provides fresh and much-needed insights into the interconnections between law, society and governance in Central Asia. By taking the interdisciplinary perspective of law and society, the book explores the social life of law and legal institutions in Central Asia in broader terms, encompassing not only the state legal system and institutions but also various informal (non-lega

‘Outsider’ socialization: Sweden’s interactions with NATO in civil defence prior to membership

This study assesses the impact of NATO socialization upon an ’outsider’ country, using Sweden in the area of civil defence as a case study. Relying on 33 interviews from 2020 and 2022 with civil servants from Swedish government agencies, the article gives a unique empirical account of practitioners’ perceptions on the interactions (or the absence thereof) with NATO prior to Sweden’s NATO membershi

HLA Class II (DR, DQ, DP) Genes Were Separately Associated With the Progression From Seroconversion to Onset of Type 1 Diabetes Among Participants in Two Diabetes Prevention Trials (DPT-1 and TN07)

OBJECTIVE: To explore associations of HLA class II genes (HLAII) with the progression of islet autoimmunity from asymptomatic to symptomatic type 1 diabetes (T1D).RESEARCH DESIGN AND METHODS: Next-generation targeted sequencing was used to genotype eight HLAII genes (DQA1, DQB1, DRB1, DRB3, DRB4, DRB5, DPA1, DPB1) in 1,216 participants from the Diabetes Prevention Trial-1 and Randomized Diabetes P

Legendre-Fenchel duality and a generalized constitutive relation error

A generalized constitutive relation error is proposed in an analogous form to Fenchel-Young inequality on the basis of the key idea of Legendre-Fenchel duality theory. The generalized constitutive relation error is linked with the global errors of some admissible solutions for the problem in question, and is of wide applicability, especially in a posteriori error estimations of numerical methods.

A brief note on understanding neural networks as Gaussian processes

As a generalization of the work in [Lee et al., 2017], this note briefly discusses when the prior of a neural network output follows a Gaussian process, and how a neural-network-induced Gaussian process is formulated. The posterior mean functions of such a Gaussian process regression lie in the reproducing kernel Hilbert space defined by the neural-network-induced kernel. In the case of two-layer

Uncertainty quantification for physics-informed deep learning

The development of physics-informed deep learning is radically changing compu-tational science and engineering, allowing for an effective integration ofphysics-based and datadriven modeling. Deep learning provides a powerful tool forthe discovery of governing dynamics underneath data and enables nonlinear model-reduction. A Bayesian viewpoint of deep learning is discussed in this chapter towards t

Birth Care Belief Practices: Traditional Mother-Child Care during Birth in Rural Punjab, Pakistan

This article analyses the birth care beliefs practiced in a Punjabi village. Birth care is an important practice that ensures a safe and uncomplicated birth for both mother and child. The study presents an in-depth exploration of the human–divine connection and its symbolic manifestation in birth care rituals in rural Muslim communities. Utilising unstructured interviews with midwives, mothers, el