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“You Can’t Influence Illness, But You Can Influence Everything Else”: Women’s Diverse Experiences of Important Resilience Aspects in the Context of Breast Cancer

Resilience comprises positive adaptation to stress and has been extensively studied in the context of breast cancer. Nevertheless, specific experiences of breast cancer survivors in relation to resilience are unknown. The aim of this study was to explore the diverse experiences of important resilience aspects in breast cancer survivors. We conducted semi-structured interviews with 25 breast cancer

IEEE Access Special Section Editorial: Recent Developments in Consensus Problems for Complex Networked Systems

Consensus problems for complex networked systems composed of interconnected interacting agents have received considerable attention in recent years partly due to the ever-increasing number of applications in various areas, such as swarm dynamics, smart grids, sensor networks, intelligent transportation systems, unmanned aerial vehicles, telerobotics, and the military. The design of consensus proto

Afterword : Storytelling Animals: Human-Nonhuman Relationships in the Arctic

A common misperception among non-arctic residents is that northern environments are less productive and more hostile to human life than other biomes; after all, it is true that in most arctic regions, traditional agriculture is generally not possible, and species richness is relatively low. Combatting such misperceptions is important because while the past century has foisted many traumatic change

Protein Biomarker Signatures in Precision Diagnostics of Cancer

Early diagnosing and patient individualized biomarker profiling are two key elements for curative interventions within cancer. Detecting cancer, when the tumor is still localized, allows for a more efficient treatment-either through surgery alone or with systemic therapies, treating a naïve and less heterogeneous tumor cell population. Developing tumors consist of complex and stage-dependent genet

Digital Humanities in Sweden and Its Infrastructure : Status Quo and the Sine Qua Non

The article offers a state-of-the-art overview of a number of Digital Humanities (DH) initiatives that have emerged in Sweden over the past decade. We identify two major developments that seem to be taking place within DH, with a specific focus on the infrastructural aspects of the development: (1) a strive to open up and broaden the research output and (2) multi-disciplinary collaboration and its

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Abstract in ItalianIl presente studio ha indagato le pratiche linguistiche familiari di madri moldave emi-grate in Italia, con un figlio in età prescolare, attraverso un’intervista semi-strutturata. Ad oggi pochi studi hanno considerato le scelte linguistiche in relazione alle pratiche educative e agli aspetti identitari in questa popolazione. L’analisi tematica svolta sulle interviste condotte ad

Two point four million cataract surgeries : 30 years with the Swedish National Cataract Register, 1992-2021

The present review summarizes data collected by the Swedish National Cataract Register (NCR), which by the end of 2021 contained data for more than 2.4 million cataract surgeries between 1992 and 2021. During these 30 years, the cataract surgery rate rose from 3700 to 12 800. The coverage of NCR is very high including 93% of all cataract procedures in Sweden between 2010 and 2021. Independently of

Century-long butterfly range expansions in northern Europe depend on climate, land use and species traits

Climate change is an important driver of range shifts and community composition changes. Still, little is known about how the responses are influenced by the combination of land use, species interactions and species traits. We integrate climate and distributional data for 131 butterfly species in Sweden and Finland and show that cumulative species richness has increased with increasing temperature

What drives cryptocurrency returns? A sparse statistical jump model approach

We apply the statistical sparse jump model, a recently developed, interpretable and robust regime-switching model, to infer key features that drive the return dynamics of the largest cryptocurrencies. The algorithm jointly performs feature selection, parameter estimation, and state classification. Our large set of candidate features are based on cryptocurrency, sentiment and financial market-based

Comparative Performance of Computer Simulation Models of Intrinsically Disordered Proteins at Different Levels of Coarse-Graining

Coarse-graining is commonly used to decrease the computational cost of simulations. However, coarse-grained models are also considered to have lower transferability, with lower accuracy for systems outside the original scope of parametrization. Here, we benchmark a bead-necklace model and a modified Martini 2 model, both coarse-grained models, for a set of intrinsically disordered proteins, with t

Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections

Segmentation of grey matter in magnetic resonance images of the spinal cord is an important step in assessing disease state in neurological disorders such as multiple sclerosis. However, manual delineation of spinal cord tissue is time-consuming and susceptible to variability introduced by the rater. We present a novel segmentation method for spinal cord tissue that uses fully convolutional encode

Applied in situ product recovery in ABE fermentation

The production of biobutanol is hindered by the product's toxicity to the bacteria, which limits the productivity of the process. In situ product recovery of butanol can improve the productivity by removing the source of inhibition. This paper reviews in situ product recovery techniques applied to the acetone butanol ethanol fermentation in a stirred tank reactor. Methods of in situ recovery inclu