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International standards are playing a key role in leading and shaping the smart manufacturing landscape. The integration and consistency among different standards is therefore essential to effectively support industrial automation evolution and to ensure their applicability. This paper focuses on the ISO18828 and ISO22400 standards, related to the production planning process and manufacturing, con

Purpose: The research community has focused on defining reliable biomarkers for the early detection of the pathological hallmarks of Alzheimer’s disease (AD). In 2017, the Geneva AD Biomarker Roadmap initiative adapted the framework for the systematic validation of oncological biomarkers to AD, with the aim to accelerate their development and implementation in clinical practice. The aim of this wo

Non-technical summary Agriculture provides many benefits to people, such as producing food and creating jobs in rural areas, but it can also have negative impacts on the environment. We analysed existing monitoring indicators for the European Union’s Common Agricultural Policy (CAP) to evaluate whether the CAP is effectively achieving multiple social and environmental goals. We found that the curr

Library assessment and external intelligence is important for tracking and improving library activities. Quality assurance and strategic planning are intricate parts in sustainably developing better and more effective services. Gothenburg University Library has implemented a process with the goal to join these activities. The process has both bottom-up and top-down features designed to generate st

Knowledge management (KM) in the engineering change management process is crucial for any manufacturing enterprise. Increasing complexity triggers an increasing demand for systematic management of information and knowledge. KM is of strategic importance to a successful management of an enterprise, especially when the key staff changes. Systematically gathered, analyzed and interpreted professional

Digital images are an intuitive way to capture, store and analyse organismal phenotypes. Many biologists are taking images to collect high-dimensional phenotypic information from specimens to investigate complex ecological, evolutionary and developmental phenomena, such as relationships between trait diversity and ecosystem function, multivariate natural selection or developmental plasticity. As a

This paper investigates the FPGA resources for the implementation of in-cycle closed-loop combustion control algorithms. Closed-loop combustion control obtains feedback from fast in-cylinder pressure measurements for accurate and reliable information about the combustion progress, synchronized with the flywheel encoder. In-cycle combustion control requires accurate and fast computations for their

Land use allocation (LUA) is of prime importance for the development of urban sustainability and resilience. Since the process of planning and managing land use requires balancing different conflicting social, economic, and environmental factors, it has become a complex and significant issue in urban planning worldwide. LUA is usually regarded as a spatial multi-objective optimization (MOO) proble

This article is based on two telematic theatre productions to better understand thepossibilities of the digital medium as well as the artistic challenges it brings. When producing the performances, the technology was very much in focus: how to act in front of the camera, how to relate to each other remotely and how the audience would watch the finished result became artistic problems that needed t

Revisiting the citizenship regimes of Myanmar and India through a comparative lens, this article argues that a specter of the “potential foreigner” is decisive in the adjudication of citizenship in both countries. Citizenship is conceptualized not only on the basis of who is a citizen, but a perennial suspicion towards those who may not be. We frame this argument in the context of increasingly res

Our food and land-use systems are critical for staying within our planetary boundaries and the Earth’s system resilience. Among the six Transformations required to achieve the Sustainable Development Goals (SDGs), the fourth Transformation—focusing on food, land, and water—is crucial. This Transformation is key to achieving SDG 2 (Zero Hunger), SDG 6 (Clean Water and Sanitation), SDG 12 (Responsib

This thesis covers a set of methods related to machine perception and localization, which are two important building blocks of artificial intelligence. In Paper I, we explore the concept of regression via classification (RvC), which is often used for perception tasks where the target variable is either ordinal or when the distance metric of the target space is not well-suited as an objective funct

This work presents a data-driven method for learning low-dimensional time-dependent physics-based surrogate models whose predictions are endowed with uncertainty estimates. We use the operator inference approach to model reduction that poses the problem of learning low-dimensional model terms as a regression of state space data and corresponding time derivatives by minimizing the residual of reduc

This paper presents the results from a longitudinal study aiming at developing and implementing a method integrating principles from Risk Management and Business Continuity Management in its naturalistic organisational setting. Despite the fact that a myriad of real-world constraints and challenges typically arise in the transition from method development to full implementation and use of the meth

We build a model to predict from first principles the properties of major mergers. We predict these from the coalescence of peaks and saddle points in the vicinity of a given larger peak, as one increases the smoothing scale in the initial linear density field as a proxy for cosmic time. To refine our results, we also ensure, using a suite of ∼400 power-law Gaussian random fields smoothed at ∼30 d

Benefiting from their ordered orientation and superior stability compared to traditional conjugated materials, hydrogen bonding (HB)-induced H-aggregates in organic small molecule hole-transport materials (HTMs) hold a big potential for high-performance inverted perovskite solar cells (IPSCs). However, H-aggregates can also lead to excessive face-aggregation by forming the gaps between aggregates,

Objectives The existence of phenotypes has been hypothesized to explain the large heterogeneity characterizing the knee osteoarthritis. In a previous systematic review of the literature, six main phenotypes were identified: Minimal Joint Disease (MJD), Malaligned Biomechanical (MB), Chronic Pain (CP), Inflammatory (I), Metabolic Syndrome (MS) and Bone and Cartilage Metabolism (BCM). The purpose of