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Transient numerical modeling and model predictive control of an industrial-scale steam methane reforming reactor

A steam methane reforming reactor is a key equipment in hydrogen production, and numerical analysis and process control can provide a critical insight into its reforming mechanisms and flexible operation in real engineering applications. The present paper firstly studies the transport phenomena in an industrial-scale steam methane reforming reactor by transient numerical simulations. Wall effect a

Railroads and Reform: How Trains Strengthened the Nation State

This paper examines the relationship between the coming of the railroads, the expansion of primary education, and the introduction of national school curricula. Using fine-grained data on local education outcomes in Sweden in the nineteenth century, the paper tests the idea that the development of the railroad network enabled national school inspectors to monitor remote schools more effectively. I

Sleeping-related distress in a palliative care population : A national, prospective, consecutive cohort

Background: Sleep, a multi-dimensional experience, is essential for optimal physical and mental wellbeing. Poor sleep is associated with worse wellbeing but data are scarce from multi-site studies on sleeping-related distress in palliative care populations. Aim: To evaluate patient-reported distress related to sleep and explore key demographic and symptom distress related to pain, breathing or fat

Rationality, Imitation and Rational Imitation in Spatial Public Goods Games

In both economic and evolutionary theories of games, two general classes of evolution can be identified: dynamics based on myopic optimization and dynamics based on imitations or replications. The collective behavior of structured populations governed by these dynamics can vary significantly. Particularly in social dilemmas, myopic optimizations typically lead to Nash equilibrium payoffs that are

Exploring barriers to implementing product-service systems for home furnishings

The home furnishings sector faces substantial sustainability challenges resulting from increasing consumption and premature disposal. Innovative business models that provide access rather than ownership hold promise for addressing these challenges, but past research has found that such models face many barriers to success. As the environmental benefits of these business models can only be realised

Statistical analysis of departure deviations from shunting yards : Case study from Swedish railways

Departure deviations from shunting yards impact the reliability of rail freight services and the punctuality of a railway network. Therefore, the statistical analysis of these deviations are necessary for improving the operation of trains in mixed-traffic networks. In our paper, we conduct a detailed statistical analysis of departure deviations considering individual shunting yards characteristics

Outsourcing Empathy

Reflections on the impact of Covid-19 and the subsequent state measures on migrant workers.

RSS-Based Localization of Low-Power IoT Devices Exploiting AoA and Range Information

We present a localization algorithm for low-power long-range Internet-of-things (IoT) networks, which exploits angle of arrival (AoA) and range information from non-coherent received signal strength (RSS) measurements. In this work, each anchor node is equipped with array antennas of known geometry and radiation patterns. The position of the target node and the path-loss exponent to each anchor ar

Romania at Lund University

The volume encompasses six conferences of Romanian academics (from Bratislava, Skopje, Bucharest, Iași and Alba Iulia) invited to Lund to hold conferences in English and French as part of Romanian language and literature research seminar series in the interval September 2015 – March 2017 on various topics: linguistics and etymology, literary world’s specificities, contemporary Romanian literature,

Evaluation of the diagnostic accuracy of an online artificial intelligence application for skin disease diagnosis

Artificial intelligence (AI) algorithms for automated classification of skin diseases are available to the con-sumer market. Studies of their diagnostic accuracy are rare. We assessed the diagnostic accuracy of an open-access AI application (Skin Image Search™) for recognition of skin diseases. Clinical images including tumours, infective and inflammatory skin diseases were collected at the Depart