In the emerging field of plasma-assisted ammonia (NH3) combustion, the evolution of key intermediate species has rarely been reported. This work establishes a simultaneous measurement system of laser-induced fluorescence (LIF) for hydroxyl (OH) and quantitative two-photon-absorption LIF for atomic oxygen (O), to explore the OH and O dynamics in an NH3/air flame affected by a nanosecond (ns) pulsed

Atomic oxygen (O) is vital in plasma-assisted combustion, but its quantitative measurement is challenging and therefore rarely reported. This work performs femtosecond two-photon-absorption laser-induced fluorescence (fs-TALIF) imaging to quantify the dynamics of atomic oxygen production by a single nanosecond (ns) pulsed plasma discharge in an ammonia/air flame for the first time. First of all, t

Gliding arc plasmas, a versatile form of non-thermal plasma discharges, hold great promise for sustainable chemical conversion in electrified industrial applications. Their relatively high temperatures compared to other non-thermal plasmas, reactive species generation, and efficient energy transfer make them ideal for an energy-efficient society. However, plasma discharges are transient and comple

The plasma–surface interface has sparked interest due to its potential of creating alternative reaction pathways not available in typical gas–surface reactions. Currently, there are a limited number of in situ studies investigating the plasma–surface interface, restricting the development of its application. Here, we report the use of in situ ambient pressure X-ray photoelectron spectroscopy in ta

This chapter aims to be a broad introduction for embedded systems professionals that wish to add machine learning to traditional embedded software. It briefly describes the foundation for a stable and secure IoT communication platform, touching on important areas such as the MQTT protocol and data extraction. The discussion is based on a case study for a digitalized marine vessel, and focuses on gThis chapter aims to be a broad introduction for embedded systems professionals that wish to add machine learning to traditional embedded software. It briefly describes the foundation for a stable and secure IoT communication platform, touching on important areas such as the MQTT protocol and data extraction. The discussion is based on a case study for a digitalized marine vessel, and focuses on g

Background: Mitochondrial DNA copy number (mtDNA-CN) is associated with aging. A relationship between mtDNA-CN and degenerative disorders, e.g. osteoarthritis (OA) and osteoporosis (OP), has been suggested. We aimed to investigate the relationship of mtDNA-CN and incident OA and OP. Materials and methods: MtDNA-CN was studied in relationship to incident OA and OP in a population-based cohort study

Across the scholarly and journalistic literature, an increasing sense of future uncertainty and prevailing sense of dread is being narrated. This unsettling sense of futurelessness seems to cut across scales in that globally unfolding menaces also shape lived experience locally in specific sites, where global risks intersect with local hazardousness of place. In this chapter, we reflect on how a s

INTRODUCTION: Patients with clinically node-negative breast cancer have a negative sentinel lymph node status (pN0) in approximately 75% of cases and the necessity of routine surgical nodal staging by sentinel lymph node biopsy (SLNB) has been questioned. Previous prediction models for pN0 have included postoperative variables, thus defeating their purpose to spare patients non-beneficial axillary

This chapter unpacks the complex and contested nature of ‘irregular labour migration’ and explores the meaning and analytical rigour of this conceptualisation. We discuss four social positions: 1) authorised migrant regular worker, 2) authorised migrant irregular worker, 3) unauthorised migrant irregular worker and 4) unauthorised migrant regular worker. Using the distinctions between informalisat

One of the pivotal tasks in scientific machine learning is to represent underlying dynamical systems from time series data. Many methods for such dynamics learning explicitly require the derivatives of state data, which are not directly available and can be approximated conventionally by finite differences. However, the discrete approximations of time derivatives may result in poor estimations whe

This paper explores the emergence and disappearance of electric car clusters in the early 20th century US. Although we know that the electric vehicle lost its share of the market by the 1920s, more successful electric vehicle clusters survived longer in specific areas, for example in Chicago. This research paper delves into what made Chicago stand out in terms of electric vehicle adoption as compa

Inclusive urban design relies on the participation of disabled persons. This study examines how the involvement of this group is perceived and managed in three revitalization initiatives applying current legal and moral requirements, e.g. ‘universal design’. Qualitative content analysis was conducted on go-along interviews and participant observation in projects related to public places and buildi

En omfattande analys och skildring hela Hansans historia från tidigmedeltida handelsscener till upplösningen på 1600-talet, med utblickar mot 1900-talet. Alla aspekter finns med: handel, sjöfart, skeppsbyggnad, köpmannapraxis, infrastruktur, kultur, arkitektur, förhandlingar, politiska förvecklingar, krig osv.

Clay brick masonry façades are widely used because of their extended durability and aesthetic appeal. They also offer good protection against wind-driven rain (WDR), one of the most common moisture sources in Northern Europe. In clay brick masonry, WDR is associated with elevated water content and the possibility of water penetration, which may negatively impact the hygrothermal performance of bui

Context: Evidence-based software engineering (EBSE) aims to improve research utilization in practice. It relies on systematic methods to identify, appraise, and synthesize existing research findings to answer questions of interest for practice. However, the lack of practitioners’ involvement in these studies’ design, execution, and reporting indicates a lack of appreciation for the need for knowle

Testing of autonomous driving systems (ADS) is a crucial, yet complex task that requires different approaches to ensure the safety and reliability of the system in various driving scenarios. Currently, there is a lack of understanding of the industry practices for testing such systems, and also the related challenges. To this end, we conduct a secondary analysis of our previous exploratory study,

This study explores the relationship between Key Performance Indicators (KPIs) and environmental performance improvement within the Saudi chemical industry. Against the backdrop of global sustainability imperatives and Saudi Arabia’s Vision 2030, which promotes sustainability for economic diversification, this research aims to assess the effectiveness of KPIs in driving environmental sustainabilit

[Context] The continuous inflow of bug reports is a considerable challenge in large development projects. Inspired by contemporary work on mining software repositories, we designed a prototype bug assignment solution based on machine learning in 2011-2016. The prototype evolved into an internal Ericsson product, TRR, in 2017-2018. TRR’s first bug assignment without human intervention happened in A

Strategy texts are an important way of communicating a strategy to a range of different stakeholders, including internal audiences as the organization communicates with itself (auto-communication). In this article, we analyze two related strategy texts that were produced for auto-communicative purposes as part of a strategic change initiative in a UK organization that employed a storytelling appro