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Doping-dependent charge- and spin-density wave orderings in a monolayer of Pb adatoms on Si(111)

In this work we computed the phase diagram as a function of temperature and doping for a system of lead adatoms allocated periodically on a silicon (111) surface. This Si(111):Pb material is characterized by a strong and long-ranged Coulomb interaction, a relatively large value of the spin-orbit coupling, and a structural phase transition that occurs at low temperature. In order to describe the co

Enhancing climate resilience in buildings using Collective Intelligence : A pilot study on a Norwegian elderly care center

The combined challenge of climate change and population aging requires novel solutions that enhance the resilience of building energy systems and secure indoor comfort for vulnerable occupants in extreme weather conditions. This research investigates the performance of a newly developed Energy Management (EM) system based on Collective Intelligence (CI) and Reinforcement Learning (RL), called CIRL

Health inequalities in cardiopulmonary resuscitation and use of automated electrical defibrillators in out-of-hospital cardiac arrest

Out of hospital cardiac arrest (OHCA) outcomes can be improved by strengthening the chain of survival, namely prompt cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED). However, provision of bystander CPR and AED use remains low due to individual patient factors ranging from lack of education to socioeconomic barriers and due to lack of resources such as limited availab

BAMLET administration via drinking water inhibits intestinal tumor development and promotes long-term health

Though new targeted therapies for colorectal cancer, which progresses from local intestinal tumors to metastatic disease, are being developed, tumor specificity remains an important problem, and side effects a major concern. Here, we show that the protein-fatty acid complex BAMLET (bovine alpha-lactalbumin made lethal to tumor cells) can act as a peroral treatment for colorectal cancer. ApcMin/+ m

Migration Changes and Integration Challenges in the Moroccan Case

The changing nature of the migration phenomenon has influenced the Moroccan context in a different way and has transformed it into a transit and destination country for sub-Saharan migrants. This chapter analyses the evolution of migration trends in Morocco, considering the relation between migration and development in more marginalised areas of the country, such as the Rif region. Moreover, it co

Predator selection on phenotypic variability of cryptic and aposematic moths

Natural selection generally favours phenotypic variability in camouflaged organisms, whereas aposematic organisms are expected to evolve a more uniform warning coloration. However, no comprehensive analysis of the phenotypic consequences of predator selection in aposematic and cryptic species exists. Using state-of-the-art image analysis, we examine 2800 wing images of 82 moth species accessed via

Validation of IgA nephropathy diagnosis in the Swedish Renal Registry

Aim: The Swedish Renal Registry (SRR) is a unique national quality registry that monitors the clinical trajectory of patients with chronic kidney disease (CKD). We have validated the biopsy data registered in the SRR for IgA Nephropathy (IgAN) diagnosis. Methods: In total 25% of all patients (n = 142), registered with IgAN in the SRR after having performed a kidney biopsy during 2015–2019, were ra

The quality of Swedish adolescents’ outdoor life and its relationship with self-esteem and well-being

This study investigates the relationship between outdoor life and the well-being and self-esteem of Swedish adolescents aged 12–15 years old (n = 320), residing in three different living environments in the south of Sweden. The study employed a questionnaire that was administered twice during a school year that included questions on time spent outdoors, environmental quality and the perceived bene

A 14-gene B-cell immune signature in early-stage triple-negative breast cancer (TNBC) : a pooled analysis of seven studies

Background: Early-stage triple-negative breast cancer (TNBC) displays clinical and biological diversity. From a biological standpoint, immune infiltration plays a crucial role in TNBC prognosis. Currently, there is a lack of genomic tools aiding in treatment decisions for TNBC. This study aims to assess the effectiveness of a B-cell/immunoglobulin signature (IGG) alone, or in combination with tumo

Relationships of change in Clinical Dementia Rating (CDR) on patient outcomes and probability of progression : observational analysis

Background: Understanding the relationship among changes in Clinical Dementia Rating (CDR), patient outcomes, and probability of progression is crucial for evaluating the long-term benefits of disease-modifying treatments. We examined associations among changes in Alzheimer’s disease (AD) stages and outcomes that are important to patients and their care partners including activities of daily livin

Early Holocene vegetation development at Mesolithic fen dwelling sites in Dagsmosse, south-central Sweden, and its implications for understanding environment–human dynamics at various scales

Recent discoveries of several Mesolithic sites within the Dagsmosse Basin, south-central Sweden, offer an opportunity to study the lifestyle and skillsets of Mesolithic hunter-gatherer-fishers operating in wetland environments. In this paper, we present a combined archaeological and palaeoecological analysis of a Mesolithic fenland environment using Repetitive-Proxy Pollen Analysis (RPPA) of early

On the nexus between material and ideological determinants of climate policy support

This study explores how rising economic costs of climate mitigation policies differentially shape climate policy support among the political left and right. To this end, we randomly manipulate how much consumption costs increase as a result of four different climate mitigation policies and study how different cost scenarios influence policy support among a sample of 1,597 Swedish adults. We find t

Motility of an autonomous protein-based artificial motor that operates via a burnt-bridge principle

Inspired by biology, great progress has been made in creating artificial molecular motors. However, the dream of harnessing proteins – the building blocks selected by nature – to design autonomous motors has so far remained elusive. Here we report the synthesis and characterization of the Lawnmower, an autonomous, protein-based artificial molecular motor comprised of a spherical hub decorated with

Part-load thermal efficiency enhancement in gas turbine combined cycles by exhaust gas recirculation

Gas turbine power plants are popular for offshore power generation due to high power density and their reliability. However, growing usage of renewable energies put gas turbines in a load following backup operation. These power plants suffer part-load efficiency losses when operating at less than full capacity, resulting in higher carbon dioxide (CO2) emission from natural gas combined cycles or h

Nano-XRF of lung fibrotic tissue reveals unexplored Ca, Zn, S and Fe metabolism : a novel approach to chronic lung diseases

Synchrotron-radiation nano-X-Ray Fluorescence (XRF) is a cutting-edge technique offering high-resolution insights into the elemental composition of biological tissues, shedding light on metabolic processes and element localization within cellular structures. In the context of Idiopathic Pulmonary Fibrosis (IPF), a debilitating lung condition associated with respiratory complications and reduced li

Enhancing Reflexivity in Research and Practice in Healthcare Through Oral-Based Autoethnography

Autoethnography is an increasingly used method to promote individual and group reflexivity in research, not the least in healthcare. However, autoethnography's uptake among practitioners is impeded by the fact that it has not been adequately adapted to practitioner settings from its academic origins. This article analyzes the experience of a research team comprised of practitioners/surgeons and so

Adaptive reinforcement learning for energy management : A progressive approach to boost climate resilience and energy flexibility

Energy management in urban areas is challenging due to diverse energy users, dynamics environmental conditions, and the added complexity and instability of extreme weather events. We incorporate adaptive reinforcement learning (ARL) into energy management (EM) and introduce a novel approach, called ARLEM. An online, value-based, model-free ARL engine is designed that updates its policy periodicall