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Neural-network-powered pulse reconstruction from one-dimensional interferometric correlation traces

Any ultrafast optical spectroscopy experiment is usually accompanied by the necessary routine of ultrashort-pulse characterization. The majority of pulse characterization approaches solve either a one-dimensional (e.g., via interferometry) or a two-dimensional (e.g., via frequency-resolved measurements) problem. Solution of the two-dimensional pulse-retrieval problem is generally more consistent d

Being family and friends to abused women–a qualitative study of digital media in intimate partner violence.

In research on intimate partner violence, most studies focus on those who are abused. In this chapter, we focus on how families, friends, relatives, and employers of abuse victims interact through the use of smartphones, social media platforms, apps, and other internet-connected devices. We discuss how digital technology is integrated into the lives of domestic abuse victims and their social netwo

Atomistic simulation of protein evolution reveals sequence covariation and time-dependent fluctuations of site-specific substitution rates

Thermodynamic stability is a crucial fitness constraint in protein evolution and is a central factor in shaping the sequence landscapes of proteins. The correlation between stability and molecular fitness depends on the mechanism that relates the biophysical property with biological function. In the simplest case, stability and fitness are related by the amount of folded protein. However, when pro

Feature semantic alignment and information supplement for Text-based person search

The goal of person text-image matching is to retrieve images of specific pedestrians using natural language. Although a lot of research results have been achieved in persona text-image matching, existing methods still face two challenges. First,due to the ambiguous semantic information in the features, aligning the textual features with their corresponding image features is always tricky. Second,

Rewetting the hyper-arid Atacama Desert soil reactivates a carbon-starved microbial decomposer community and also triggers archaeal metabolism

Extreme environmental conditions make soils of the hyper-arid Atacama Desert one of the most hostile habitats for life on the planet. During the short intervals of moisture availability that occur, it remains unresolved how soil microorganisms physiologically respond to such dramatic environmental changes. Therefore, we simulated a precipitation event – without (H2O) and with (H2O + C) labile carb

Transcriptional intra-tumour heterogeneity predicted by deep learning in routine breast histopathology slides provides independent prognostic information

Background: Intra-tumour heterogeneity (ITH) causes diagnostic challenges and increases the risk for disease recurrence. Quantification of ITH is challenging and has not been demonstrated in large studies. It has previously been shown that deep learning can enable spatially resolved prediction of molecular phenotypes from digital histopathology whole slide images (WSIs). Here we propose a novel me

Förändring pågår! Förslag på förändringsarbete kring kön och könsidentitet i skolan - Bilaga 2

Att vara trans på olika sätt är ingen nödsituation och behöver inte vara dramatiskt. I stället för att enbart reagera i stunden kan politiker, rektorer, lärare, kuratorer, skolsköterskor och andra vuxna skapa en skola där färre spontana lösningar krävs eftersom det finns ett genomtänkt pedagogiskt och administrativt arbete, det som kallas ”whole-of-school approach” (Bartholomaeus & Riggs, 2017Being trans in different ways is not an emergency and does not have to be dramatic. Instead of reacting only in the moment, politicians, principals, teachers, counselors, nurses and other adults can create a school where fewer spontaneous solutions are needed because there is well thought-out pedagogical and administrative work, what is called the 'whole-of-school approach' (Bartholomaeus & Ri

Hygiene may attenuate selection for antibiotic resistance by changing microbial community structure

Good hygiene, in both health care and the community, is central to containing the rise of antibiotic resistance, as well as to infection control more generally. But despite the well-known importance, the ecological mechanisms by which hygiene (or other transmission control measures) affect the evolution of resistance remain to be elucidated. Using metacommunity ecology theory, we here propose that

Efficient Encapsulation and Controlled Release of N,N-Diethyl-3-methylbenzamide (DEET) from Oil-in-Water Emulsions Stabilized by Cationic Nanocellulose and Silica Nanoparticles

Oil-in-water emulsions containing N,N-diethyl-3-methylbenzamide (DEET) were developed aiming to extend the sustained release of the active compound, by using two oppositely charged nanomaterials, namely silica nanoparticles (SiNP) and cationic cellulose nanofibrils (CCNF), as stabilizers, and a mixture of food-grade nonionic surfactants to avoid precipitation by electrostatic aggregation. The form

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En åpen og opplyst offentlig samtale er en forutsetning for et velfungerende demokrati. Dette idealet fordrer at borgere i stor grad tolererer meningsmotstandere fremfor å utvikle fiendtlige holdninger til dem man er uenig med. En rekke studier fra USA har imidlertid vist at borgere i økende grad er fiendtlig innstilt til velgere de er politisk uenig med (Iyengar et al., 2019). Dette fenomenet er

An empirically based model of software prototyping : a mapping study and a multi-case study

Context: Prototyping is an established practice within product and user interface design that is also used as a requirements engineering (RE) practice within agile development. Even so, there is a lack of theory on prototyping.Aims: Our main research objective is to support practitioners in improving on their prototyping practices.Method: We have designed a model that describes key aspects of the

Software selection in large-scale software engineering: A model and criteria based on interactive rapid reviews

Context: Software selection in large-scale software development continues to be ad hoc and ill-structured. Previous proposals for software component selection tend to be technology-specific and/or do not consider business or ecosystem concerns.Objective: Our main aim is to develop an industrially relevant technology-agnostic method that can support practitioners in making informed decisions when s