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Mutation-bearing peptide ligands from mutated nucleophosmin-1 (NPM1) protein have been empirically found to be presented by HLA class I in acute myeloid leukemia (AML). We hypothesized that HLA genotype may impact allogeneic hematopoietic stem cell transplantation (allo-HCT) outcomes in NPM1-mutated AML owing to differences in antigen presentation. We evaluated the effect of the variable of predic

PURPOSE OF REVIEW: Malnutrition is frequent in patients with acute kidney injury. Nutrient clearance during renal replacement therapy (RRT) potentially contributes to this complication. Although losses of amino acid, trace elements and vitamins have been described, there is no clear guidance regarding the role of micronutrient supplementation. RECENT FINDINGS: A scoping review was conducted with t

The fifth generation (5G) of mobile communications introduces improvements on many fronts when compared to its previous generations. Besides the performance enhancements and new advances in radio technologies, it also integrates other technological domains, such as cloud-to-things continuum and artificial intelligence. In this work, the 5G-DIVE Elastic Edge Platform (DEEP) is proposed as the linki

Many exemplary projects have demonstrated that Nature-based Solutions (NBS) can contribute to climate change adaptation, but now the challenge is to scale up their use. Setting realistic policy goals requires knowing the amount of different NBS types that can fit in the urban space and the benefits that can be expected. This research aims to assess the potential for a full-scale implementation of

Small and medium-sized enterprises (SMEs) often face unique challenges in integrating advanced digital technologies due to limited resources and organizational constraints. While much attention has been given to large firms' adoption of big data analytics (BDA) and artificial intelligence (AI), less is known about how SMEs can leverage these tools effectively. This study addresses the research que

Motivated by the well established idea that collective wisdom is greater than that of an individual, we propose a novel learning dynamics as a sort of companion to the Abelson model of opinion dynamics. Agents are assumed to make independent guesses about the true state of the world after which they engage in opinion exchange leading to consensus. We investigate the problem of finding the optimal

Molecular oxygen activation at single transition metal atom sites is critical for catalysis but remains challenging to control. Here we investigate a manganese–cobalt bi-metallic coordination network on graphene, where Co(i) atoms are tetracoordinated by nitrogen. Combining density functional theory with in situ infrared-visible sum-frequency generation and ambient-pressure X-ray photoelectron spe

Active learning is increasingly implemented in higher education, yet students' perspectives on this pedagogical approach remain diverse. This study explores geoscience students' views on active learning within a course at the University of Bergen (UiB) and in relation to their broader study program. Through longitudinal qualitative interviews with two student cohorts, we identified seven main cate

The Milky Way provides the most detailed laboratory we have access to for studying the processes of galaxy formation and evolution. Modern large-scale surveys, most notably the Gaia mission, have revolutionised this field by revealing the extent to which the Galaxy is not a steady system, but dynamically active and rich in non-equilibrium features that preserve traces of past interactions. Underst

This paper reflects on the challenges and opportunities of academic freedom monitoring from an advocacy perspective. Based on the review of two existing academic freedom indexes and the author's experience building scientific freedom indicators, the paper discusses three challenges: conceptual, methodological, and political. The conceptual challenges are of four kinds: undertheorization, complexit

Computational models of peritoneal dialysis (PD) are increasingly useful for optimizing treatment in patients with kidney disease requiring dialysis (KDRD). However, although several mathematical models have been developed in the past few decades, a direct comparison of the models’ accuracy with respect to predicting in vivo data is needed to further create robust personalized models. Here, we use

BACKGROUND: Orthopaedic surgeons aim for mechanical alignment when performing total knee arthroplasty (TKA) as malalignment is associated with loosening. Loosening may be predicted by migration as measured with radiostereometric analysis (RSA), but previous RSA studies on postoperative alignment have shown contradictory results and have been limited to cemented implants and small numbers of patien

The unprecedented scale of the Covid-19 pandemic has been a challenge for health supply chains around the world. Many international humanitarian organizations have had to ensure the continuity of their already complex development programs, while addressing their supply chain disruptions linked to the pandemic. Process modularity has frequently been advocated as a strategy to mitigate such disrupti

The aim of this work is to investigate different methods to solve the problem of allocating the correct amount of resources (network bandwidth and storage space) to video camera systems. Here we explore the intersection between two research areas: automatic control and game theory. Camera systems are a good example of the emergence of the Internet of Things (IoT) and its impact on our daily lives

Groundwater is a crucial source of water supply in drought conditions, and an auxiliary water source in wet seasons. Due to its increasing importance in view of climate change, predicting groundwater level (GWL) needs to be improved to enhance management. We used adaptive neuro-fuzzy inference systems (ANFIS) to predict the GWL of the Urmia aquifer in northwestern Iran under various input scenario

In atmospheric aerosol particles, the chemical surface composition governs both heterogenous chemical reactions with gas-phase species and the ability to act as nuclei for cloud droplets. The pH in aerosol particles is expected to affect these properties, but it is very challenging to measure the pH in individual droplets, precluding the investigation of its influence on the particle's surface com

What is degrowth and what are its implications for political economy? Divided in three parts, this dissertation explores the why, what, and how of degrowth.The first part (Of growth and limits) studies the nature, causes, and consequences of economic growth. Chapter 1: Understanding economic growth answers a series of questions about the nature of economic growth: What is it exactly that grows? By